3.txt

Using Theano backend.
WARNING (theano.sandbox.cuda): The cuda backend is deprecated and will be removed in the next release (v0.10).  Please switch to the gpuarray backend. You can get more information about how to switch at this URL:
 https://github.com/Theano/Theano/wiki/Converting-to-the-new-gpu-back-end%28gpuarray%29

Using gpu device 1: GeForce GTX 1080 Ti (CNMeM is disabled, cuDNN Mixed dnn version. The header is from one version, but we link with a different version (5005, 7102))
52
10
31
3107
3016
(3016, 300)
(1284, 20, 300)
(1284, 20, 5)
(1284, 20, 20)
(229, 20, 300)
(229, 20, 5)
(229, 20, 20)
(686, 20, 300)
(686, 20, 5)
(686, 20, 20)
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 128, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [128, 64, 80], 'momentum': 0.1}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.7}, {'shapes': 32, 'drop': 0.0}, {'shapes': 32, 'drop': 0.7}]
0 1.293531847 1.2159756422 saving model
1 1.08064309359 1.10467457771 saving model
2 1.02292493582 1.11291801929
3 0.939090752602 1.0505926609 saving model
4 0.935581862926 1.09703993797
5 0.875301980972 0.95872348547 saving model
6 0.795811331272 0.987953662872
7 0.762345898151 0.96333694458
8 0.720205819607 0.997708916664
9 0.706245470047 0.983618438244
10 0.663969027996 0.950282931328 saving model
11 0.670211410522 0.961319684982
12 0.64778803587 0.94674551487 saving model
13 0.594671738148 0.926246881485 saving model
14 0.594743108749 0.933847367764
15 0.560138404369 0.953705906868
16 0.550632345676 0.942867875099
17 0.52513871789 0.926109969616 saving model
18 0.52678129077 0.934467673302
19 0.527994537354 0.932425439358
20 0.537560760975 0.937466800213
21 0.506332731247 0.927522599697
22 0.521729576588 0.963396787643
23 0.525565373898 0.898387014866 saving model
24 0.509677857161 0.940208077431
25 0.502279835939 0.932919979095
26 0.510614132881 0.924518406391
27 0.507844281197 0.939171016216
28 0.462592422962 0.947459816933
29 0.461731773615 0.967113494873
30 0.476988065243 0.9200989604
31 0.472156071663 0.974092841148
32 0.472020220757 0.938948333263
33 0.492165112495 1.00572609901
34 0.482648491859 0.929272532463
35 0.48086066246 0.955540239811
36 0.467816472054 0.917089760303
37 0.4578363657 0.934033632278
38 0.450193160772 0.94237279892
39 0.470565223694 0.94458425045
40 0.462973719835 0.935756087303
41 0.462576216459 0.953740000725
42 0.47501924634 0.93727260828
43 0.447610121965 0.960941374302
44 0.4455732584 0.951284885406
45 0.436916780472 0.943760752678
46 0.436753863096 0.926632165909
47 0.425842779875 0.964660763741
48 0.46153883934 0.941421985626
49 0.44361743331 0.969520807266
model number is: 79666
mae:  1.05661809758
corr:  0.604032602081
mult_acc:  0.30321
mult f_score:  0.33431
Confusion Matrix :
[[274 105]
 [ 79 228]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77620   0.72296   0.74863       379
        True    0.68468   0.74267   0.71250       307

   micro avg    0.73178   0.73178   0.73178       686
   macro avg    0.73044   0.73281   0.73057       686
weighted avg    0.73525   0.73178   0.73246       686

Accuracy  0.731778425656
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 128, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [128, 64, 64], 'momentum': 0.8}, {'shapes': 64, 'drop': 0.2}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}, {'shapes': 256, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}]
0 1.30875994563 1.34452152252 saving model
1 1.09701587409 1.13336586952 saving model
2 0.96336362958 1.10789835453 saving model
3 0.907641409338 1.09080708027 saving model
4 0.857720398903 1.01121091843 saving model
5 0.794773347676 1.00907683372 saving model
6 0.750316031277 0.975692212582 saving model
7 0.698030729592 0.985982298851
8 0.673501311243 1.00744378567
9 0.645394934714 0.995186626911
10 0.65199778825 1.02460479736
11 0.61898688525 1.01418876648
12 0.609898671508 0.987272679806
13 0.562342794985 0.992069423199
14 0.55199065432 0.993048012257
15 0.509773125499 1.00211763382
16 0.483158572763 0.974431157112 saving model
17 0.485117812455 0.968001723289 saving model
18 0.47068348825 0.987053394318
19 0.462631452084 1.01207315922
20 0.482963553071 1.01150131226
21 0.452910387516 1.02699458599
22 0.46100307256 0.986517131329
23 0.415341224521 1.00690150261
24 0.406629517674 0.986917674541
25 0.394323404133 0.982565462589
26 0.383660572022 0.974270284176
27 0.383090592176 0.98778706789
28 0.377207827196 1.0091599226
29 0.386788061261 0.973020553589
30 0.376180484146 0.998263955116
31 0.376787886769 0.995400667191
32 0.370308246464 0.986927568913
33 0.363257677853 0.978755712509
34 0.356378483772 1.00817036629
35 0.3559192691 0.95413172245 saving model
36 0.35576434806 0.988498926163
37 0.352201276273 1.01298451424
38 0.366817545891 0.959967494011
39 0.367604134232 0.977706372738
40 0.356821011752 0.999153077602
41 0.350813508779 1.01428318024
42 0.338011109456 0.983201026917
43 0.344609028846 0.972855746746
44 0.347155642509 0.961441099644
45 0.337128537521 0.989633202553
46 0.330222949386 0.95996594429
47 0.334361349046 0.963209688663
48 0.325151142105 0.968442440033
49 0.318335439265 0.971174240112
model number is: 16469
mae:  1.05063528761
corr:  0.59469800481
mult_acc:  0.30175
mult f_score:  0.31455
Confusion Matrix :
[[280  99]
 [ 90 217]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75676   0.73879   0.74766       379
        True    0.68671   0.70684   0.69663       307

   micro avg    0.72449   0.72449   0.72449       686
   macro avg    0.72173   0.72281   0.72215       686
weighted avg    0.72541   0.72449   0.72482       686

Accuracy  0.724489795918
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [64, 32, 48], 'momentum': 0.6}, {'shapes': 32, 'drop': 0.2}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}]
0 1.29937428236 1.22945606709 saving model
1 1.04318573475 1.15382516384 saving model
2 0.940403687954 1.02754175663 saving model
3 0.820582360029 0.962307274342 saving model
4 0.77513781786 1.0028141737
5 0.713963115215 0.999525845051
6 0.656205302477 0.96804690361
7 0.602342927456 0.988277316093
8 0.553634822369 0.964510440826
9 0.533712154627 0.999946296215
10 0.509157305956 0.963586747646
11 0.506782925129 1.03757190704
12 0.46960708797 0.962627410889
13 0.467574128509 0.992213904858
14 0.444238859415 0.970498323441
15 0.469853425026 0.977526962757
16 0.536692655087 0.990583658218
17 0.644097194076 1.25329113007
18 0.699694234133 1.02505338192
19 0.490863996744 1.02151417732
20 0.447174084187 1.00042903423
21 0.436766561866 0.994074702263
22 0.436068865657 0.978174030781
23 0.435726907849 0.995161354542
24 0.412993058562 0.96821308136
25 0.417812022567 0.976856172085
26 0.373945832253 0.939818263054 saving model
27 0.368053814769 0.994064807892
28 0.382614925504 1.01150155067
29 0.376770988107 0.9655123353
30 0.398614346981 0.963021874428
31 0.423473897576 1.00057637691
32 0.469765600562 0.94497948885
33 0.404391658306 1.00423252583
34 0.415084281564 0.947913706303
35 0.391131451726 0.961998045444
36 0.354521653056 0.963798344135
37 0.331836980581 0.96606862545
38 0.331542205811 0.97974139452
39 0.343195071816 0.940284073353
40 0.317180019617 0.945425629616
41 0.317069283128 0.958027422428
42 0.332536014915 0.948087573051
43 0.314099526405 0.95529282093
44 0.325275138021 0.972223579884
45 0.341331771016 0.948814094067
46 0.324643528461 0.954046964645
47 0.332363969088 0.950395464897
48 0.331674411893 0.936078846455 saving model
49 0.305243775249 0.972489953041
model number is: 87636
mae:  1.02311394298
corr:  0.591001202443
mult_acc:  0.33819
mult f_score:  0.34151
Confusion Matrix :
[[283  96]
 [101 206]]
Classification Report :
              precision    recall  f1-score   support

       False    0.73698   0.74670   0.74181       379
        True    0.68212   0.67101   0.67652       307

   micro avg    0.71283   0.71283   0.71283       686
   macro avg    0.70955   0.70886   0.70916       686
weighted avg    0.71243   0.71283   0.71259       686

Accuracy  0.712827988338
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 256, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [88, 48, 32], 'momentum': 0.8}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.0}, {'shapes': 64, 'drop': 0.5}]
0 1.28196635991 1.19841384888 saving model
1 1.03144022524 1.11048650742 saving model
2 0.897053228319 1.0518655777 saving model
3 0.796924553812 1.00336778164 saving model
4 0.751535464823 1.02207672596
5 0.703404641151 1.03127348423
6 0.648121550679 0.953482806683 saving model
7 0.65139914155 0.981941342354
8 0.633319564909 0.981835782528
9 0.586965334415 1.00166869164
10 0.669585734606 1.0348739624
11 0.626705625653 1.03269565105
12 0.567504294962 0.997885048389
13 0.493714514375 0.978436470032
14 0.436050711572 0.951424062252 saving model
15 0.421789184958 0.970957875252
16 0.43392271921 1.00195002556
17 0.40212123245 0.961722016335
18 0.385148139298 0.970955550671
19 0.359170077741 0.970508337021
20 0.366513786465 0.958610594273
21 0.378461608291 0.942933619022 saving model
22 0.353247963637 0.965143322945
23 0.359460446239 0.963479280472
24 0.359756688774 0.961337864399
25 0.336364842206 0.959712386131
26 0.352283871174 0.965493023396
27 0.340914520621 0.979080379009
28 0.333195589855 0.963599443436
29 0.350460026786 0.970707774162
30 0.311457204074 0.99368417263
31 0.312110357732 1.00405550003
32 0.320687206835 0.932520449162 saving model
33 0.318285892159 0.930450856686 saving model
34 0.302740643919 0.940436899662
35 0.298554717004 0.947636187077
36 0.288524575531 0.916186094284 saving model
37 0.298734341189 0.949454605579
38 0.298846380785 0.954531311989
39 0.303624003008 0.964928090572
40 0.323699083179 0.999274194241
41 0.289503368363 0.99708032608
42 0.306162371859 0.940391898155
43 0.322111165896 0.946433663368
44 0.288364803791 0.93995475769
45 0.291292775795 0.936091780663
46 0.274404438585 0.964311242104
47 0.280489456281 0.948107123375
48 0.294734369218 0.96572726965
49 0.275446489081 0.984754383564
model number is: 30702
mae:  1.03235842634
corr:  0.597680070775
mult_acc:  0.31195
mult f_score:  0.31556
Confusion Matrix :
[[291  88]
 [ 94 213]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75584   0.76781   0.76178       379
        True    0.70764   0.69381   0.70066       307

   micro avg    0.73469   0.73469   0.73469       686
   macro avg    0.73174   0.73081   0.73122       686
weighted avg    0.73427   0.73469   0.73443       686

Accuracy  0.734693877551
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 300, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [156, 16, 80], 'momentum': 0.6}, {'shapes': 64, 'drop': 0.2}, {'shapes': 256, 'drop': 0.0}, {'shapes': 32, 'drop': 0.7}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}]
0 1.30834608078 1.29546165466 saving model
1 1.25942893028 1.26989901066 saving model
2 1.12992472649 1.22879171371 saving model
3 1.08099794388 1.16053521633 saving model
4 0.970155215263 1.07281327248 saving model
5 0.905527806282 1.05679857731 saving model
6 0.84272172451 1.02432978153 saving model
7 0.799630784988 0.999671518803 saving model
8 0.74456923008 0.985985457897 saving model
9 0.700516998768 0.98275411129 saving model
10 0.646260404587 0.940052866936 saving model
11 0.592183768749 0.955489218235
12 0.579792809486 0.970515549183
13 0.544608592987 0.946506679058
14 0.531240987778 0.968661367893
15 0.52410889864 0.990860402584
16 0.542827361822 0.963394701481
17 0.522728049755 0.965950608253
18 0.488202512264 0.928620934486 saving model
19 0.443873023987 0.936328589916
20 0.423342376947 0.920839905739 saving model
21 0.41352071166 0.961275875568
22 0.424519789219 0.927833735943
23 0.43658195138 0.964092850685
24 0.408295756578 0.938682079315
25 0.396126931906 0.954010784626
26 0.387146538496 0.94213616848
27 0.39694994688 0.941154062748
28 0.390150523186 0.925131976604
29 0.372905731201 0.929291844368
30 0.370107209682 0.973874926567
31 0.358444952965 0.916546523571 saving model
32 0.360579156876 0.943872690201
33 0.346356117725 0.932070016861
34 0.359852290154 0.932663679123
35 0.34906129241 0.939832150936
36 0.339012426138 0.937743484974
37 0.33701364398 0.922438204288
38 0.325554901361 0.913492679596 saving model
39 0.344227778912 0.963684797287
40 0.326415616274 0.937889933586
41 0.338098329306 0.94634437561
42 0.321825611591 0.931649982929
43 0.326291388273 0.977101325989
44 0.334284883738 0.945838212967
45 0.314556831121 0.950385034084
46 0.331794637442 0.929444491863
47 0.314252066612 0.955842375755
48 0.312550067902 0.950932264328
49 0.312040251493 0.944995343685
model number is: 25984
mae:  1.04897363651
corr:  0.604441926463
mult_acc:  0.32507
mult f_score:  0.3425
Confusion Matrix :
[[271 108]
 [ 82 225]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76771   0.71504   0.74044       379
        True    0.67568   0.73290   0.70312       307

   micro avg    0.72303   0.72303   0.72303       686
   macro avg    0.72169   0.72397   0.72178       686
weighted avg    0.72652   0.72303   0.72374       686

Accuracy  0.723032069971
/usr/local/lib/python2.7/dist-packages/sklearn/metrics/classification.py:1145: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true samples.
  'recall', 'true', average, warn_for)
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 400, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [156, 32, 64], 'momentum': 0.3}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.5}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}]
0 1.3093234539 1.35067868233 saving model
1 1.16414895058 1.21208202839 saving model
2 1.05404495001 1.18024480343 saving model
3 1.01261539459 1.09287643433 saving model
4 0.952659153938 1.06990170479 saving model
5 0.901660251617 1.07552468777
6 0.873966515064 1.01709747314 saving model
7 0.847261762619 1.01298999786 saving model
8 0.796055805683 0.981549501419 saving model
9 0.784921586514 0.993173062801
10 0.723877370358 0.974009275436 saving model
11 0.709298694134 1.00067937374
12 0.700318646431 0.992850601673
13 0.696157062054 1.03566420078
14 0.666175091267 0.994560658932
15 0.621507608891 0.995929896832
16 0.577560710907 1.00016570091
17 0.549828195572 1.00642597675
18 0.540499663353 0.971049368382 saving model
19 0.524137866497 0.959271848202 saving model
20 0.509931194782 0.977424323559
21 0.505261719227 0.963867068291
22 0.483962005377 1.00621318817
23 0.4754152596 0.967064499855
24 0.469319564104 1.00683641434
25 0.468938851357 0.973881363869
26 0.440354925394 0.989182889462
27 0.446318203211 0.986796498299
28 0.430079519749 0.989633858204
29 0.41447006464 0.973306596279
30 0.420886605978 0.972964346409
31 0.404169178009 0.968035817146
32 0.398546284437 0.934862434864 saving model
33 0.382495462894 0.971442997456
34 0.367666053772 0.958334684372
35 0.363355058432 0.958805978298
36 0.362034994364 0.982151269913
37 0.376992857456 0.969713389874
38 0.354149091244 0.979403018951
39 0.361888772249 0.98475331068
40 0.359692811966 0.961834907532
41 0.373777157068 0.959996521473
42 0.398939394951 0.967283308506
43 0.361303877831 0.97603982687
44 0.37870387435 0.96108943224
45 0.371181708574 0.986518800259
46 0.353161811829 0.960599899292
47 0.359993082285 0.982558012009
48 0.358262741566 0.960492551327
49 0.350036656857 0.947540521622
model number is: 49779
mae:  1.07763674964
corr:  0.567925215839
mult_acc:  0.27697
mult f_score:  0.29963
Confusion Matrix :
[[288  91]
 [ 97 210]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74805   0.75989   0.75393       379
        True    0.69767   0.68404   0.69079       307

   micro avg    0.72595   0.72595   0.72595       686
   macro avg    0.72286   0.72197   0.72236       686
weighted avg    0.72551   0.72595   0.72567       686

Accuracy  0.725947521866
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [256, 16, 48], 'momentum': 0.3}, {'shapes': 32, 'drop': 0.5}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}, {'shapes': 128, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}]
0 1.29131424725 1.20541870594 saving model
1 1.10096101612 1.1246407032 saving model
2 0.926051403582 1.03841114044 saving model
3 0.82706720531 1.04633319378
4 0.780466014147 1.02088391781 saving model
5 0.718743462861 0.99675565958 saving model
6 0.707809343934 0.993093311787 saving model
7 0.660998111963 1.0016579628
8 0.678273547441 0.987783849239 saving model
9 0.642053765804 1.01141774654
10 0.576701910794 0.966816306114 saving model
11 0.558769582957 0.944684267044 saving model
12 0.582311582565 1.0172175169
13 0.566005631536 0.987033367157
14 0.547849030793 0.996692419052
15 0.520696244389 0.937914967537 saving model
16 0.505523592234 0.957861244678
17 0.501184841245 0.999245584011
18 0.490283019096 0.966197431087
19 0.487531197071 0.97860199213
20 0.454530242085 0.983277440071
21 0.473645292222 0.996549785137
22 0.483296753466 0.969478785992
23 0.46750633046 0.963282167912
24 0.46604341343 1.00593209267
25 0.47636590302 1.00568437576
26 0.462956907228 0.983153879642
27 0.473045677692 0.967484712601
28 0.489353780448 0.988903820515
29 0.480688558519 1.01070141792
30 0.459996665269 0.964982330799
31 0.462305928767 0.947107970715
32 0.444660595059 0.972941160202
33 0.429367634654 0.986534416676
34 0.476033788174 1.04243957996
35 0.443640314788 0.982167601585
36 0.468122769892 1.01486444473
37 0.452446354181 0.93486136198 saving model
38 0.471068006754 0.936853408813
39 0.427042324096 0.954900145531
40 0.457493836433 0.988539099693
41 0.448677925766 1.01821219921
42 0.425310911238 0.990345478058
43 0.432943240553 0.951631188393
44 0.41072980687 0.987186908722
45 0.4182012178 0.962373673916
46 0.433309978992 0.983765244484
47 0.429056625068 0.993976056576
48 0.42586819008 0.994675278664
49 0.426206588745 0.984202027321
model number is: 80794
mae:  1.01706846503
corr:  0.606261865718
mult_acc:  0.32216
mult f_score:  0.32271
Confusion Matrix :
[[274 105]
 [ 82 225]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76966   0.72296   0.74558       379
        True    0.68182   0.73290   0.70644       307

   micro avg    0.72741   0.72741   0.72741       686
   macro avg    0.72574   0.72793   0.72601       686
weighted avg    0.73035   0.72741   0.72806       686

Accuracy  0.727405247813
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 128, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [128, 32, 64], 'momentum': 0.3}, {'shapes': 128, 'drop': 0.0}, {'shapes': 128, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}]
0 1.29273434281 1.32354974747 saving model
1 1.05936661363 1.10020315647 saving model
2 0.938393616676 1.11372673512
3 0.898332646489 1.02673518658 saving model
4 0.808515101671 1.02486407757 saving model
5 0.762548229098 1.04524374008
6 0.719731265306 1.01750421524 saving model
7 0.675085151196 1.01561141014 saving model
8 0.636593359709 1.00171339512 saving model
9 0.636086991429 1.11339759827
10 0.637828421593 1.03922379017
11 0.666973406076 0.991088747978 saving model
12 0.571428398788 0.994287908077
13 0.523541788757 1.00749456882
14 0.48741825372 1.05248188972
15 0.48955232054 0.998635530472
16 0.472752191126 0.991861402988
17 0.436336815357 1.01284444332
18 0.436120201647 1.06181061268
19 0.401338270307 1.03395521641
20 0.390854012966 1.02072262764
21 0.37470715493 1.02108836174
22 0.386496014893 1.04610395432
23 0.434107735753 1.01927268505
24 0.375405961275 1.00434577465
25 0.39791559726 1.11010575294
26 0.384768280387 1.03718543053
27 0.399035950005 1.07459664345
28 0.389160320163 1.06857764721
29 0.398018717766 1.01539969444
30 0.34796276316 0.994714915752
31 0.320711369812 1.08520996571
32 0.323206323385 1.08750283718
33 0.338194349408 1.17439877987
34 0.404455137253 1.2478634119
35 0.484873966873 1.08470702171
36 0.453982207179 1.0662882328
37 0.407595032454 1.02142834663
38 0.317190609872 1.02173233032
39 0.278296338022 1.01697945595
40 0.257629480213 1.02081847191
41 0.243052633107 1.02872109413
42 0.226755533367 1.01368439198
43 0.222951186448 1.02485251427
44 0.225849194825 1.02925038338
45 0.208435282111 1.02127432823
46 0.211782423407 1.02003693581
47 0.215518333763 1.03627133369
48 0.233309916407 1.0187009573
49 0.228736686707 1.05586445332
model number is: 79470
mae:  0.997579342486
corr:  0.628229663983
mult_acc:  0.32507
mult f_score:  0.34371
Confusion Matrix :
[[315  64]
 [106 201]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74822   0.83113   0.78750       379
        True    0.75849   0.65472   0.70280       307

   micro avg    0.75219   0.75219   0.75219       686
   macro avg    0.75335   0.74293   0.74515       686
weighted avg    0.75282   0.75219   0.74959       686

Accuracy  0.752186588921
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 300, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [32, 16, 32], 'momentum': 0.1}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}]
0 1.32216057777 1.40694534779 saving model
1 1.30464336872 1.38996648788 saving model
2 1.27333538532 1.34530627728 saving model
3 1.19409191608 1.23371577263 saving model
4 1.05237586498 1.12470018864 saving model
5 0.968768751621 1.08782529831 saving model
6 0.919361257553 1.09715247154
7 0.884920966625 1.07496345043 saving model
8 0.834439754486 1.04238128662 saving model
9 0.800069105625 1.02167129517 saving model
10 0.782655060291 1.01407444477 saving model
11 0.77158318758 1.04235315323
12 0.761876702309 1.02443349361
13 0.707494866848 1.01904964447
14 0.687209510803 1.00482475758 saving model
15 0.660813236237 1.02858293056
16 0.671609508991 1.01362347603
17 0.634866476059 1.01342332363
18 0.609552764893 1.01025605202
19 0.576118433475 1.01470541954
20 0.550227630138 1.02174782753
21 0.546050226688 1.02020800114
22 0.520787465572 1.02703404427
23 0.504217493534 1.03225588799
24 0.487834048271 1.03887104988
25 0.470937114954 1.05836367607
26 0.498819869757 1.06778156757
27 0.556183838844 1.02377295494
28 0.577080893517 1.04274129868
29 0.523206073046 1.03443825245
30 0.450943082571 1.02929186821
31 0.470637202263 1.03000092506
32 0.491406875849 1.0256165266
33 0.429110127687 1.03959584236
34 0.402076560259 1.03896343708
35 0.395725494623 1.03487181664
36 0.397781705856 1.0313334465
37 0.40452876687 1.03381729126
38 0.39697778821 1.0292942524
39 0.375476872921 1.04116153717
40 0.385163003206 1.04251623154
41 0.383533275127 1.04321932793
42 0.402869480848 1.04204893112
43 0.369142347574 1.05129742622
44 0.341933882236 1.04290914536
45 0.337292045355 1.03249371052
46 0.331912446022 1.03648900986
47 0.335145872831 1.04280352592
48 0.315351438522 1.03997898102
49 0.313902437687 1.02440285683
model number is: 57591
mae:  1.05073683206
corr:  0.60717062148
mult_acc:  0.30904
mult f_score:  0.34945
Confusion Matrix :
[[285  94]
 [ 88 219]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76408   0.75198   0.75798       379
        True    0.69968   0.71336   0.70645       307

   micro avg    0.73469   0.73469   0.73469       686
   macro avg    0.73188   0.73267   0.73222       686
weighted avg    0.73526   0.73469   0.73492       686

Accuracy  0.734693877551
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 300, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [32, 64, 48], 'momentum': 0.9}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.2}, {'shapes': 256, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.0}]
0 1.22460617423 1.14124166965 saving model
1 0.927369201183 1.08820033073 saving model
2 0.846695548296 1.025578022 saving model
3 0.757558467984 1.10963952541
4 0.749009221792 0.983224391937 saving model
5 0.62870683521 0.933750450611 saving model
6 0.599974042177 0.95463603735
7 0.564697852731 0.981899619102
8 0.498288218677 0.992578208447
9 0.473900164664 0.973732769489
10 0.448495040834 0.943853497505
11 0.425385816395 0.98043435812
12 0.39534497261 1.02084267139
13 0.424123355746 0.966306328773
14 0.457363142073 1.02159333229
15 0.44433657676 1.02533626556
16 0.449885848165 1.02305006981
17 0.528835172951 1.07214260101
18 0.478556407988 1.03251922131
19 0.420472821593 1.03684675694
20 0.372563917935 0.963238954544
21 0.358176656812 0.955497443676
22 0.363036559522 0.985028326511
23 0.445583252609 0.962744832039
24 0.455928310752 1.08753359318
25 0.416172382236 1.05081915855
26 0.37832800895 0.998453676701
27 0.354268653691 0.986963152885
28 0.306042724103 0.968118786812
29 0.305567560345 1.05970728397
30 0.337134245038 1.03215992451
31 0.338599683344 0.979814827442
32 0.270839555562 0.992795586586
33 0.253199348599 0.983998060226
34 0.278818560392 1.01853787899
35 0.338468214869 1.07594180107
36 0.316424334794 1.00948381424
37 0.232749527693 1.00259590149
38 0.202972974628 0.973881542683
39 0.174210679531 0.994996964931
40 0.200982249528 1.032802701
41 0.261048240215 1.03151905537
42 0.286907170713 0.959962427616
43 0.225340475887 0.961612462997
44 0.175311348587 0.972891807556
45 0.152608346194 0.986933410168
46 0.165972696245 1.00512623787
47 0.2057392627 1.04801428318
48 0.232566271722 1.02196371555
49 0.213893442601 0.967395603657
model number is: 25598
mae:  1.01328047855
corr:  0.614304381589
mult_acc:  0.33382
mult f_score:  0.34971
Confusion Matrix :
[[299  80]
 [ 91 216]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76667   0.78892   0.77763       379
        True    0.72973   0.70358   0.71642       307

   micro avg    0.75073   0.75073   0.75073       686
   macro avg    0.74820   0.74625   0.74703       686
weighted avg    0.75014   0.75073   0.75024       686

Accuracy  0.750728862974
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 64, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [88, 80, 80], 'momentum': 0.6}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.2}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.7}]
0 1.2807267189 1.19333899021 saving model
1 1.05475064516 1.1196590662 saving model
2 0.936995917559 1.05825543404 saving model
3 0.843654733896 1.02754056454 saving model
4 0.803505522013 1.005012393 saving model
5 0.757863432169 0.969483792782 saving model
6 0.715275335312 0.972550928593
7 0.659426128864 1.01358437538
8 0.623308444023 1.02988040447
9 0.607740849257 0.996052324772
10 0.567657992244 1.06466472149
11 0.565843316913 1.02892625332
12 0.53807605207 1.03966224194
13 0.577088287473 1.09575819969
14 0.635368514061 1.02690637112
15 0.652341908216 1.08557772636
16 0.648724138737 0.965734899044 saving model
17 0.519931548834 0.983175933361
18 0.424372127652 0.992496669292
19 0.42076074183 0.978351831436
20 0.430689549446 0.96852427721
21 0.411444163322 1.02219259739
22 0.449587979913 1.01152515411
23 0.416285517812 0.993945658207
24 0.415795642138 0.987369179726
25 0.405812245607 0.994135141373
26 0.382726383209 0.98836183548
27 0.395287391543 1.00552558899
28 0.409267291427 0.984129548073
29 0.359757933021 1.00896918774
30 0.349185684323 0.98704880476
31 0.319165283442 0.974693715572
32 0.329526284337 0.99141895771
33 0.338640958071 0.961127996445 saving model
34 0.350139009953 0.962502539158
35 0.329174599051 0.982896447182
36 0.342587286234 0.972533643246
37 0.382254648209 0.969799995422
38 0.347594669461 0.968197464943
39 0.35402084589 0.965107500553
40 0.335114195943 0.981969952583
41 0.357780462503 0.977514624596
42 0.316843593121 0.964986383915
43 0.321141451597 0.958160877228 saving model
44 0.328346425295 0.970755875111
45 0.321553090215 0.956878900528 saving model
46 0.314669969678 0.968571305275
47 0.312653547525 0.974496543407
48 0.289487403631 0.959570765495
49 0.285619521141 0.971359908581
model number is: 77455
mae:  1.03822410529
corr:  0.585502507503
mult_acc:  0.28863
mult f_score:  0.29476
Confusion Matrix :
[[292  87]
 [105 202]]
Classification Report :
              precision    recall  f1-score   support

       False    0.73552   0.77045   0.75258       379
        True    0.69896   0.65798   0.67785       307

   micro avg    0.72012   0.72012   0.72012       686
   macro avg    0.71724   0.71421   0.71521       686
weighted avg    0.71916   0.72012   0.71914       686

Accuracy  0.720116618076
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 128, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [64, 64, 64], 'momentum': 0.6}, {'shapes': 64, 'drop': 0.7}, {'shapes': 256, 'drop': 0.0}, {'shapes': 32, 'drop': 0.5}, {'shapes': 256, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}]
0 1.30528526306 1.35661435127 saving model
1 1.09736158848 1.18212866783 saving model
2 0.964912231266 1.0641272068 saving model
3 0.867004577816 1.0433460474 saving model
4 0.81272174865 0.993264257908 saving model
5 0.751267623901 0.975081503391 saving model
6 0.70446324423 1.024284482
7 0.670565244555 0.990805029869
8 0.638771039993 0.951385259628 saving model
9 0.620575831831 0.97442060709
10 0.590128141642 1.00444328785
11 0.618568243086 1.05250906944
12 0.607334679365 0.946198999882 saving model
13 0.54489890039 0.932319760323 saving model
14 0.514079128951 0.934067249298
15 0.489362117648 0.93948841095
16 0.456774245203 0.966464221478
17 0.44500599429 0.96560305357
18 0.467995204777 0.954566121101
19 0.43077718243 0.996150195599
20 0.413585100323 0.941171824932
21 0.417983846366 0.962643802166
22 0.405093925446 0.948395013809
23 0.40788994655 0.95298486948
24 0.383956772089 0.9615675807
25 0.377090305835 0.9682970047
26 0.387014556676 0.935282766819
27 0.374846290797 0.96232432127
28 0.359996184707 0.965380012989
29 0.368627528846 1.00176167488
30 0.363520473242 0.983727216721
31 0.36901376918 0.967957317829
32 0.372943415493 0.956427931786
33 0.363371903822 0.95380705595
34 0.363739638031 0.965019822121
35 0.363605153188 0.956120014191
36 0.372498907149 0.962764978409
37 0.351981629431 0.952625572681
38 0.385077441484 0.954496979713
39 0.361978683621 0.926951169968 saving model
40 0.364228960127 0.929142951965
41 0.371439372748 0.954643070698
42 0.372905727103 0.957263529301
43 0.368656228483 0.954585254192
44 0.346184672043 0.898487210274 saving model
45 0.346906692535 0.916549026966
46 0.339888100326 0.939862251282
47 0.329582549632 0.912624180317
48 0.33152673915 0.927028119564
49 0.330986251682 0.917435050011
model number is: 12533
mae:  1.02368158294
corr:  0.583607882596
mult_acc:  0.33236
mult f_score:  0.34148
Confusion Matrix :
[[304  75]
 [106 201]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74146   0.80211   0.77060       379
        True    0.72826   0.65472   0.68954       307

   micro avg    0.73615   0.73615   0.73615       686
   macro avg    0.73486   0.72842   0.73007       686
weighted avg    0.73555   0.73615   0.73432       686

Accuracy  0.736151603499
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [88, 48, 8], 'momentum': 0.3}, {'shapes': 64, 'drop': 0.5}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}, {'shapes': 256, 'drop': 0.0}]
0 1.15372007489 1.1093262434 saving model
1 0.878500127792 1.04449188709 saving model
2 0.734449157119 0.953779876232 saving model
3 0.690536361933 0.978826105595
4 0.609177104384 0.964240074158
5 0.567343952507 1.00213909149
6 0.592020208389 1.05257368088
7 0.556402145326 1.02995574474
8 0.486210630834 0.931168973446 saving model
9 0.476640831679 0.952557682991
10 0.422777741402 0.917669892311 saving model
11 0.427552551031 0.970193505287
12 0.370733515173 0.934316039085
13 0.347167679667 0.911393463612 saving model
14 0.33708104454 0.916469871998
15 0.318966430426 0.93387144804
16 0.335811078176 0.912075519562
17 0.337686568126 0.922506868839
18 0.301330160722 0.957137584686
19 0.34839890711 1.00669538975
20 0.40964416191 0.943315804005
21 0.402816987783 0.987601578236
22 0.346135897934 0.922018766403
23 0.265606807545 0.896471560001 saving model
24 0.251869171113 0.927938401699
25 0.255485020205 0.92230784893
26 0.289422014728 0.956148505211
27 0.23572957553 0.929834365845
28 0.198201682046 0.94172167778
29 0.211320913956 1.0041372776
30 0.215385807492 0.926240205765
31 0.252678003162 0.93217343092
32 0.252995826304 0.921528816223
33 0.336492915079 0.965805530548
34 0.255896919221 0.948213934898
35 0.246557623148 0.950480163097
36 0.246839248016 0.927297353745
37 0.230733636767 0.899312257767
38 0.265279337391 0.937791705132
39 0.265070659295 0.965108573437
40 0.228686385602 0.957369208336
41 0.233420318365 0.938922822475
42 0.243757121265 0.960972189903
43 0.266108799353 0.958786964417
44 0.24214406535 0.975419282913
45 0.217152747512 1.00181388855
46 0.23024459295 0.983658432961
47 0.254374688677 0.996871471405
48 0.247983846813 0.958216786385
49 0.257991049811 1.01108264923
model number is: 48557
mae:  1.05948548016
corr:  0.586536233846
mult_acc:  0.31341
mult f_score:  0.32189
Confusion Matrix :
[[262 117]
 [ 79 228]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76833   0.69129   0.72778       379
        True    0.66087   0.74267   0.69939       307

   micro avg    0.71429   0.71429   0.71429       686
   macro avg    0.71460   0.71698   0.71358       686
weighted avg    0.72024   0.71429   0.71507       686

Accuracy  0.714285714286
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [256, 16, 48], 'momentum': 0.3}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}]
0 1.33397223949 1.33398854733 saving model
1 1.14889857769 1.14614975452 saving model
2 1.04641467333 1.19441831112
3 0.961173981428 1.15943312645
4 0.938265585899 1.04266619682 saving model
5 0.85112683773 1.04396522045
6 0.775751954317 1.08911550045
7 0.768182629347 1.0384105444 saving model
8 0.73183863163 1.08350861073
9 0.693971771002 0.985091984272 saving model
10 0.678410243988 1.07318437099
11 0.632065683603 0.969934165478 saving model
12 0.603920161724 0.96910905838 saving model
13 0.552716913819 1.03270506859
14 0.529972809553 0.989215910435
15 0.504046201706 0.994191348553
16 0.448705068231 0.982539415359
17 0.458793643117 1.00592315197
18 0.45956735909 1.05279922485
19 0.509605458379 1.05901288986
20 0.537258264422 1.01151609421
21 0.478829142451 0.9690990448 saving model
22 0.429185321927 0.996144175529
23 0.459869742393 0.999540328979
24 0.458896544576 0.988655865192
25 0.451561015844 1.00249707699
26 0.450234872103 0.942046165466 saving model
27 0.443444126844 0.972127974033
28 0.423837864399 1.03487026691
29 0.418613377213 0.997856378555
30 0.406501209736 0.97724634409
31 0.395152819157 0.968478322029
32 0.385170531273 0.979501783848
33 0.368376910686 0.999839544296
34 0.370676368475 0.977396070957
35 0.363667652011 0.953391253948
36 0.369622066617 0.964338421822
37 0.356539869308 0.979718744755
38 0.344340467453 0.97460603714
39 0.361122071743 0.966361343861
40 0.365310895443 0.95636677742
41 0.360359412432 0.971079111099
42 0.333662751317 0.982778906822
43 0.355677768588 0.967790782452
44 0.360948315263 0.97087687254
45 0.367154029012 0.985957920551
46 0.369377592206 0.996697187424
47 0.371431314945 0.951278626919
48 0.359156775475 0.955990970135
49 0.364282459021 0.969574391842
model number is: 82605
mae:  1.03376588749
corr:  0.607441954289
mult_acc:  0.34985
mult f_score:  0.35806
Confusion Matrix :
[[268 111]
 [ 76 231]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77907   0.70712   0.74136       379
        True    0.67544   0.75244   0.71186       307

   micro avg    0.72741   0.72741   0.72741       686
   macro avg    0.72725   0.72978   0.72661       686
weighted avg    0.73269   0.72741   0.72816       686

Accuracy  0.727405247813
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [128, 32, 16], 'momentum': 0.1}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.2}, {'shapes': 128, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}]
0 1.2694253087 1.27615475655 saving model
1 1.04449118376 1.1162930727 saving model
2 0.961830574274 1.0524969101 saving model
3 0.883295917511 0.991135001183 saving model
4 0.790929025412 0.976117014885 saving model
5 0.723305886984 0.964732766151 saving model
6 0.692824435234 0.976467609406
7 0.648454815149 0.991396188736
8 0.603920781612 0.975661039352
9 0.586850345135 0.951002299786 saving model
10 0.583120590448 0.932453930378 saving model
11 0.552982544899 0.934212744236
12 0.576064771414 0.97099262476
13 0.563197213411 1.05305683613
14 0.554532805085 0.991859555244
15 0.548194393516 0.965959727764
16 0.577412420511 0.949683308601
17 0.585807996988 1.0216230154
18 0.59758234024 0.96608632803
19 0.532493498921 0.941982626915
20 0.481444999576 0.936676025391
21 0.466131332517 0.958453774452
22 0.435221141577 0.937140703201
23 0.436253261566 0.936037540436
24 0.441898462176 0.931614995003 saving model
25 0.464080739021 0.978566288948
26 0.455345794559 0.966937422752
27 0.453692877293 0.95183390379
28 0.458045122027 0.928525388241 saving model
29 0.426457464695 0.950815916061
30 0.417516338825 0.931707918644
31 0.40124938786 0.936506509781
32 0.421226477623 0.922329604626 saving model
33 0.417215806246 0.969387233257
34 0.438408905268 0.917751789093 saving model
35 0.410916525126 0.900593400002 saving model
36 0.395861589909 0.919512331486
37 0.398778623343 0.951010882854
38 0.391375911236 0.940971493721
39 0.396266826987 0.955044388771
40 0.417489057779 0.910693705082
41 0.408665591478 0.899279356003 saving model
42 0.393503952026 0.888063907623 saving model
43 0.389548161626 0.921685099602
44 0.383370912075 0.907557845116
45 0.384604921937 0.902359068394
46 0.377718451619 0.945828080177
47 0.371144405007 0.960785627365
48 0.369802841544 0.928553402424
49 0.374619212747 0.917470216751
model number is: 46937
mae:  1.03102153662
corr:  0.611983336481
mult_acc:  0.30904
mult f_score:  0.34759
Confusion Matrix :
[[280  99]
 [ 82 225]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77348   0.73879   0.75574       379
        True    0.69444   0.73290   0.71315       307

   micro avg    0.73615   0.73615   0.73615       686
   macro avg    0.73396   0.73584   0.73444       686
weighted avg    0.73811   0.73615   0.73668       686

Accuracy  0.736151603499
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 128, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [88, 8, 32], 'momentum': 0.9}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}]
0 1.22105098963 1.15910077095 saving model
1 0.898192760348 1.00436198711 saving model
2 0.795107272267 0.961427152157 saving model
3 0.687517225742 0.965951442719
4 0.618748626113 0.972034156322
5 0.585104703903 0.952835559845 saving model
6 0.56763240397 0.942148268223 saving model
7 0.560270653665 0.971659898758
8 0.475837273896 0.947878241539
9 0.424845281243 0.933471918106 saving model
10 0.400650414824 0.962007462978
11 0.410049822927 0.916725933552 saving model
12 0.386237199605 0.936005711555
13 0.380339917541 0.934189558029
14 0.37818980366 0.916277348995 saving model
15 0.354384154081 0.886067688465 saving model
16 0.322871127725 0.937778830528
17 0.318346906453 0.978970527649
18 0.352707871795 0.988034069538
19 0.372387947142 0.939988851547
20 0.42211650759 0.910420954227
21 0.444759464264 0.964125931263
22 0.436415196955 0.977193415165
23 0.372957399487 0.923789560795
24 0.328087095916 0.926597774029
25 0.309714226425 0.903147757053
26 0.277860249579 0.945397794247
27 0.273009735346 0.908616781235
28 0.285904747248 0.895271122456
29 0.277684488893 0.893984436989
30 0.302197295427 0.902917802334
31 0.31147628054 0.894870281219
32 0.359044663608 0.896226346493
33 0.371841421723 0.968750655651
34 0.389005339146 0.990119874477
35 0.338329802454 1.00213360786
36 0.369125968963 1.12338018417
37 0.4556340307 1.13622641563
38 0.483784553409 0.998365461826
39 0.452956676483 0.968430221081
40 0.387753897905 0.982377648354
41 0.331719647348 0.959941864014
42 0.301524653286 0.98907148838
43 0.287919165939 0.955330550671
44 0.279270677269 0.949599981308
45 0.273647449911 0.933881819248
46 0.302820666879 0.945079624653
47 0.307087524235 0.967823565006
48 0.314663416147 1.02821159363
49 0.370756852627 1.05407786369
model number is: 24475
mae:  1.01303409697
corr:  0.625537650084
mult_acc:  0.3309
mult f_score:  0.33732
Confusion Matrix :
[[290  89]
 [ 81 226]]
Classification Report :
              precision    recall  f1-score   support

       False    0.78167   0.76517   0.77333       379
        True    0.71746   0.73616   0.72669       307

   micro avg    0.75219   0.75219   0.75219       686
   macro avg    0.74957   0.75066   0.75001       686
weighted avg    0.75294   0.75219   0.75246       686

Accuracy  0.752186588921
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 300, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [256, 8, 80], 'momentum': 0.8}, {'shapes': 128, 'drop': 0.2}, {'shapes': 32, 'drop': 0.5}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}]
0 1.19062065929 1.07497763634 saving model
1 0.977499066293 1.03081023693 saving model
2 0.851546058059 0.956261277199 saving model
3 0.76224192977 0.936452746391 saving model
4 0.660312972963 0.96131581068
5 0.592126649618 0.991551339626
6 0.576618456095 0.991552174091
7 0.549787610769 0.967777967453
8 0.528319548815 0.99270683527
9 0.49322604835 1.01885271072
10 0.544752719253 1.03111553192
11 0.480870800465 0.992492079735
12 0.455208286643 1.00929677486
13 0.395642641187 1.00103831291
14 0.353173471987 1.0095307827
15 0.348976857588 0.981917560101
16 0.377707391232 1.0558719635
17 0.356134321168 0.935063004494 saving model
18 0.305478786305 0.952441513538
19 0.273861305788 0.944173038006
20 0.243114935607 0.947732806206
21 0.247583803907 0.959221184254
22 0.273040869087 0.969808995724
23 0.298725756258 0.980648338795
24 0.249954931438 0.969420135021
25 0.200958812609 0.996409237385
26 0.226063586026 0.998170852661
27 0.235447473079 0.979430198669
28 0.220263783261 1.01166319847
29 0.221308178082 1.00675654411
30 0.292230945453 1.01365566254
31 0.296076504141 1.00314676762
32 0.289442056045 0.990345537663
33 0.254481097311 0.983460426331
34 0.23118481487 1.03363227844
35 0.228726675734 1.04426753521
36 0.212006650493 1.00574207306
37 0.223072178289 0.989070832729
38 0.202211864665 0.98171633482
39 0.183906448074 0.980247676373
40 0.181590121612 0.974757015705
41 0.192127569392 0.965270757675
42 0.201309759542 0.983083486557
43 0.220288948715 0.988047122955
44 0.216819486022 0.989262998104
45 0.208216571063 0.983157753944
46 0.176520406082 0.999761998653
47 0.172310469672 0.988065242767
48 0.196812463179 1.01363861561
49 0.171331535839 0.994438230991
model number is: 31350
mae:  1.0356245238
corr:  0.598732035941
mult_acc:  0.31487
mult f_score:  0.32803
Confusion Matrix :
[[284  95]
 [ 91 216]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75733   0.74934   0.75332       379
        True    0.69453   0.70358   0.69903       307

   micro avg    0.72886   0.72886   0.72886       686
   macro avg    0.72593   0.72646   0.72617       686
weighted avg    0.72923   0.72886   0.72902       686

Accuracy  0.728862973761
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 64, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [256, 80, 64], 'momentum': 0.9}, {'shapes': 64, 'drop': 0.5}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}]
0 1.31815507412 3.05572891235 saving model
1 1.70406248569 1.34818983078 saving model
2 1.23300225735 1.30272901058 saving model
3 1.13447840214 1.22754228115 saving model
4 1.01293922663 1.07679140568 saving model
5 1.02046620846 1.1586868763
6 0.927416193485 1.125020504
7 0.829431390762 1.03102433681 saving model
8 0.73965742588 1.03698086739
9 0.700242686272 1.0045568943 saving model
10 0.638758611679 0.964729189873 saving model
11 0.598436319828 1.02592813969
12 0.623925709724 0.939415693283 saving model
13 0.53294891715 0.999836325645
14 0.509077298641 0.946261227131
15 0.452667319775 1.00470685959
16 0.462019729614 0.935157179832 saving model
17 0.394242590666 0.959767341614
18 0.361523330212 0.940062940121
19 0.32464094758 0.95018362999
20 0.317193764448 0.958841145039
21 0.308617126942 0.946824789047
22 0.307914334536 0.96259957552
23 0.300694957376 0.940265655518
24 0.30953053236 0.929251611233 saving model
25 0.254150798917 0.935329794884
26 0.22159550786 0.927619278431 saving model
27 0.223121291399 0.934686005116
28 0.237734162807 0.941155195236
29 0.223296388984 0.944194793701
30 0.226394438744 0.931930184364
31 0.194389390945 0.93850839138
32 0.198230412602 0.925343453884 saving model
33 0.190287068486 0.950182914734
34 0.181538960338 0.947341680527
35 0.162341120839 0.939564466476
36 0.168358707428 0.944032251835
37 0.146465951204 0.946813642979
38 0.163884529471 0.938465356827
39 0.166706082225 0.933860301971
40 0.145585551858 0.959349632263
41 0.120519402623 0.951549232006
42 0.107380871475 0.944095134735
43 0.132710853219 0.944455385208
44 0.13464525938 0.957856178284
45 0.147526428103 0.943967700005
46 0.122645902634 0.931446731091
47 0.122243915498 0.94516658783
48 0.108327257633 0.945350170135
49 0.122315613925 0.940464198589
model number is: 48628
mae:  1.10217324467
corr:  0.561360603781
mult_acc:  0.30466
mult f_score:  0.31462
Confusion Matrix :
[[265 114]
 [ 89 218]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74859   0.69921   0.72306       379
        True    0.65663   0.71010   0.68232       307

   micro avg    0.70408   0.70408   0.70408       686
   macro avg    0.70261   0.70465   0.70269       686
weighted avg    0.70743   0.70408   0.70482       686

Accuracy  0.704081632653
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 256, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [32, 48, 64], 'momentum': 0.9}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}]
0 1.31799556017 1.37403023243 saving model
1 1.19371940941 1.1701669693 saving model
2 1.00926291347 1.0599296093 saving model
3 0.925309160352 1.04473733902 saving model
4 0.864418196678 1.00590264797 saving model
5 0.786414733529 0.982912540436 saving model
6 0.749548509717 0.955981910229 saving model
7 0.711444410682 1.01013231277
8 0.670775093138 0.97130292654
9 0.661863576621 0.948270618916 saving model
10 0.653764940798 0.991194427013
11 0.58805661425 0.96038132906
12 0.582867961377 0.942332327366 saving model
13 0.561379805952 0.96814250946
14 0.551023820788 0.977376878262
15 0.54763148874 0.970485568047
16 0.593752902746 0.978532135487
17 0.627617951483 1.00101494789
18 0.577670224756 0.9694429636
19 0.513908345997 0.949374675751
20 0.479716486484 0.983341515064
21 0.483267182112 0.965535402298
22 0.455889041722 0.925464332104 saving model
23 0.460481485724 0.984765052795
24 0.453385287523 0.952879905701
25 0.439719709009 0.951820194721
26 0.420084691048 0.970626413822
27 0.426844388992 0.951634883881
28 0.411467516422 0.956239104271
29 0.406851846725 0.96722227335
30 0.410224213451 0.975273549557
31 0.408302121609 0.953878343105
32 0.403107021749 0.948616683483
33 0.396575576067 0.974886119366
34 0.387723708898 0.949608623981
35 0.392525167018 0.966238379478
36 0.395857806876 0.926729142666
37 0.365277607739 0.962713420391
38 0.381400448829 0.969936192036
39 0.400969921798 0.990392804146
40 0.379491988569 0.952135503292
41 0.361335582659 0.956708967686
42 0.384221152216 0.955407142639
43 0.379641161114 0.980957269669
44 0.380738271773 0.96747893095
45 0.388984326646 0.964791536331
46 0.382872586697 0.964073240757
47 0.363378416747 0.953943729401
48 0.373064860702 0.972335040569
49 0.374134396762 0.958990693092
model number is: 96619
mae:  1.04836943971
corr:  0.589289459846
mult_acc:  0.30904
mult f_score:  0.32248
Confusion Matrix :
[[267 112]
 [ 84 223]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76068   0.70449   0.73151       379
        True    0.66567   0.72638   0.69470       307

   micro avg    0.71429   0.71429   0.71429       686
   macro avg    0.71318   0.71543   0.71311       686
weighted avg    0.71816   0.71429   0.71504       686

Accuracy  0.714285714286
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 400, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [128, 64, 32], 'momentum': 0.3}, {'shapes': 64, 'drop': 0.2}, {'shapes': 64, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}, {'shapes': 256, 'drop': 0.7}]
0 1.31183838844 1.38465893269 saving model
1 1.16549971402 1.13062417507 saving model
2 0.978951102495 1.10212481022 saving model
3 0.922699585557 1.07298493385 saving model
4 0.875444951653 1.05635011196 saving model
5 0.806301140785 1.03829526901 saving model
6 0.785522040725 1.06495082378
7 0.781255024672 1.0195697546 saving model
8 0.698561918736 1.01929044724 saving model
9 0.654715639353 1.01732647419 saving model
10 0.618515326083 1.01840341091
11 0.605992382765 1.02972173691
12 0.595036765933 1.05477559566
13 0.639772151411 1.0459138155
14 0.566445937753 1.03228974342
15 0.497817899287 1.02104496956
16 0.492488320172 1.01216483116 saving model
17 0.469783835113 1.02139699459
18 0.455098719895 1.04717493057
19 0.473900647461 1.03372764587
20 0.441052992642 1.05363202095
21 0.489679798484 1.00458741188 saving model
22 0.466257116199 1.02824735641
23 0.420642340183 1.0113722086
24 0.394989781082 1.00506711006
25 0.372189582884 1.00871574879
26 0.38250285238 1.00311851501 saving model
27 0.381095696986 1.03215110302
28 0.348245181143 0.999829530716 saving model
29 0.342589354515 1.0351113081
30 0.360652890801 1.02490437031
31 0.332030433416 1.04922807217
32 0.328920279443 1.02790129185
33 0.350171872973 1.06214213371
34 0.305846379697 1.00839805603
35 0.32799859345 1.01046073437
36 0.331890811771 1.0027462244
37 0.312710344791 1.00684952736
38 0.335721227527 1.00812482834
39 0.325350858271 0.997183203697 saving model
40 0.331026656926 1.00431585312
41 0.347461749613 0.992957651615 saving model
42 0.314489114285 1.0391728878
43 0.318064123392 1.01139771938
44 0.290038049221 1.06424951553
45 0.330721451342 1.03357422352
46 0.328575007617 1.06027543545
47 0.322377055883 1.03176355362
48 0.310710413754 1.08174276352
49 0.312299017608 1.0413531065
model number is: 18338
mae:  1.09330518698
corr:  0.57200966449
mult_acc:  0.28717
mult f_score:  0.29304
Confusion Matrix :
[[259 120]
 [ 82 225]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75953   0.68338   0.71944       379
        True    0.65217   0.73290   0.69018       307

   micro avg    0.70554   0.70554   0.70554       686
   macro avg    0.70585   0.70814   0.70481       686
weighted avg    0.71149   0.70554   0.70635       686

Accuracy  0.705539358601
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 256, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [64, 32, 64], 'momentum': 0.8}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}, {'shapes': 256, 'drop': 0.7}]
0 1.20379615426 1.27757883072 saving model
1 0.99585262984 1.11235618591 saving model
2 0.857513745129 1.06082642078 saving model
3 0.821897576749 1.01086962223 saving model
4 0.736646620929 0.962894558907 saving model
5 0.667712683231 0.953567683697 saving model
6 0.623796134442 0.941176116467 saving model
7 0.611654269695 0.984178543091
8 0.567277092487 0.994766712189
9 0.534152676165 0.962250292301
10 0.516409190744 1.01021134853
11 0.519049488008 0.981422364712
12 0.514557082206 0.962640225887
13 0.474708055705 0.965457975864
14 0.440948838741 0.981033444405
15 0.442174585909 0.953659296036
16 0.456429798156 0.969637334347
17 0.402818077803 0.950666189194
18 0.441031428427 0.931887447834 saving model
19 0.422713429481 0.967302620411
20 0.452934608608 0.98618221283
21 0.445290732384 0.921898901463 saving model
22 0.420401144028 0.948262214661
23 0.453874266893 0.911684632301 saving model
24 0.406432119757 0.946475207806
25 0.417937409133 1.01485323906
26 0.416994915903 1.02566659451
27 0.397188357264 0.966106414795
28 0.408135727793 0.986320376396
29 0.384884064645 0.97727894783
30 0.389324415475 0.982326984406
31 0.378672865033 0.931874513626
32 0.379552468657 0.931712865829
33 0.345774232596 0.966041088104
34 0.351076341048 0.963940620422
35 0.343782601506 0.943406283855
36 0.373768478632 0.896648287773 saving model
37 0.382678296417 0.908185362816
38 0.365951614082 0.958538651466
39 0.363386458158 0.965697169304
40 0.395582300425 0.926850140095
41 0.393456624448 0.936813533306
42 0.356174395606 0.928436160088
43 0.380452018604 0.954894065857
44 0.370318330824 0.955960869789
45 0.344806086645 0.955568671227
46 0.337219681591 0.925681114197
47 0.312344950065 0.911611735821
48 0.309831142798 0.93998247385
49 0.316496155038 0.902054965496
model number is: 15442
mae:  1.03155547692
corr:  0.589414734205
mult_acc:  0.33819
mult f_score:  0.34917
Confusion Matrix :
[[280  99]
 [ 86 221]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76503   0.73879   0.75168       379
        True    0.69063   0.71987   0.70494       307

   micro avg    0.73032   0.73032   0.73032       686
   macro avg    0.72783   0.72933   0.72831       686
weighted avg    0.73173   0.73032   0.73076       686

Accuracy  0.730320699708
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 128, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [64, 48, 80], 'momentum': 0.3}, {'shapes': 128, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.2}, {'shapes': 128, 'drop': 0.5}]
0 1.21039350927 1.1385884285 saving model
1 0.93351047039 1.04138803482 saving model
2 0.835733225942 0.996372282505 saving model
3 0.744962432981 0.973656356335 saving model
4 0.700395435095 1.01443493366
5 0.622319677472 0.983404219151
6 0.597623682022 0.948491930962 saving model
7 0.670052483678 1.09927797318
8 0.601485404372 0.941162109375 saving model
9 0.492360553145 0.956299245358
10 0.443973325193 0.952095150948
11 0.430165913701 0.994915962219
12 0.438000227511 0.996012926102
13 0.454960720241 0.937451303005 saving model
14 0.420405854285 0.943841457367
15 0.398848988116 0.96887499094
16 0.379984013736 0.986147046089
17 0.364336539805 0.990302860737
18 0.363765308261 0.965583980083
19 0.351499219239 0.974148154259
20 0.363130751252 1.00216925144
21 0.337336705625 0.966005027294
22 0.345934915543 1.02192497253
23 0.393027998507 1.0398362875
24 0.391381837428 1.01984024048
25 0.418246924877 0.98607224226
26 0.473592698574 1.01280283928
27 0.435242392123 1.03838193417
28 0.41339802295 1.00233101845
29 0.373352454603 1.00712442398
30 0.37352450788 0.986927688122
31 0.405112452805 0.986743330956
32 0.491309784353 1.00463330746
33 0.572826810181 1.0481647253
34 0.43721043244 1.04437768459
35 0.438956528902 1.03191304207
36 0.469551861286 1.01073694229
37 0.392605748773 0.961406469345
38 0.353857798874 0.957144796848
39 0.325615631789 0.95758587122
40 0.292547192425 0.966024875641
41 0.286103568226 0.969395160675
42 0.275858251005 0.980425000191
43 0.284252702445 0.984089076519
44 0.287676575035 0.989821135998
45 0.297117705643 1.01885414124
46 0.331296563894 1.04383671284
47 0.336751827598 1.0282998085
48 0.409180536866 0.958996772766
49 0.452350187302 1.0569511652
model number is: 62610
mae:  1.03789049127
corr:  0.603029182763
mult_acc:  0.3105
mult f_score:  0.33484
Confusion Matrix :
[[280  99]
 [ 79 228]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77994   0.73879   0.75881       379
        True    0.69725   0.74267   0.71924       307

   micro avg    0.74052   0.74052   0.74052       686
   macro avg    0.73860   0.74073   0.73903       686
weighted avg    0.74294   0.74052   0.74110       686

Accuracy  0.740524781341
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 256, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [88, 8, 16], 'momentum': 0.5}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.2}, {'shapes': 64, 'drop': 0.2}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}]
0 1.22237225324 1.14792585373 saving model
1 0.986454242468 1.06623542309 saving model
2 0.832097363472 0.985499858856 saving model
3 0.776640893519 0.986620664597
4 0.680853492022 1.00381493568
5 0.669385015965 0.954554021358 saving model
6 0.609897785634 0.949062764645 saving model
7 0.601706907153 1.00278151035
8 0.589390025288 0.936366915703 saving model
9 0.547952628881 0.954145312309
10 0.520875996351 0.949102699757
11 0.494852329791 1.01419067383
12 0.486372940987 0.976498782635
13 0.471154592931 0.987645566463
14 0.466705088317 0.969984412193
15 0.472489403188 0.973292529583
16 0.468578840047 1.00795125961
17 0.472226290405 1.01889705658
18 0.497256224602 0.966754496098
19 0.487681700289 0.943864822388
20 0.506933880597 1.02020740509
21 0.435162664205 1.0010509491
22 0.416996303946 0.979090750217
23 0.403507889062 0.957364916801
24 0.393843565881 0.964965701103
25 0.394452682883 0.9869171381
26 0.42066488266 0.971982717514
27 0.420250407606 1.01242828369
28 0.400341675431 0.992384314537
29 0.388352464885 0.990805208683
30 0.397325769067 0.96800339222
31 0.3759308137 0.977969110012
32 0.380397331715 0.975200116634
33 0.392832951993 0.926539003849 saving model
34 0.401339375973 0.928089380264
35 0.379128053039 0.958701193333
36 0.382100850344 0.964605867863
37 0.38736169301 0.967578053474
38 0.379199209064 1.00029325485
39 0.391170015186 0.969206690788
40 0.357579184324 0.972605288029
41 0.366595776379 0.935072541237
42 0.384033481777 0.917150974274 saving model
43 0.35923810713 0.939066946507
44 0.352875031531 0.946640193462
45 0.360651505738 0.911593019962 saving model
46 0.384143456072 0.9707441926
47 0.379980681837 0.963197648525
48 0.384178411961 0.984965324402
49 0.368735350668 0.954795598984
model number is: 77272
mae:  1.01725267858
corr:  0.629063253973
mult_acc:  0.3207
mult f_score:  0.34031
Confusion Matrix :
[[263 116]
 [ 74 233]]
Classification Report :
              precision    recall  f1-score   support

       False    0.78042   0.69393   0.73464       379
        True    0.66762   0.75896   0.71037       307

   micro avg    0.72303   0.72303   0.72303       686
   macro avg    0.72402   0.72644   0.72250       686
weighted avg    0.72994   0.72303   0.72378       686

Accuracy  0.723032069971
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [88, 16, 80], 'momentum': 0.8}, {'shapes': 32, 'drop': 0.2}, {'shapes': 64, 'drop': 0.5}, {'shapes': 128, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.0}]
0 1.2442180872 1.20479989052 saving model
1 1.26799390316 1.31628966331
2 1.13572533131 1.19462966919 saving model
3 1.04970140457 1.13884806633 saving model
4 0.942080104351 1.10920906067 saving model
5 0.846096217632 1.04605281353 saving model
6 0.759282052517 0.997285485268 saving model
7 0.689852309227 1.00706243515
8 0.675998556614 0.971926569939 saving model
9 0.647498559952 1.01071059704
10 0.627872049809 0.989801645279
11 0.503213846684 0.973698735237
12 0.468607133627 0.984712719917
13 0.440251296759 1.01385176182
14 0.454082494974 0.985185563564
15 0.40810778141 1.00105416775
16 0.431135296822 0.966475784779 saving model
17 0.352287459373 0.987373590469
18 0.333706814051 0.955844044685 saving model
19 0.314249062538 0.982706546783
20 0.330359178782 0.983268082142
21 0.313972437382 0.995000720024
22 0.302126735449 0.967338740826
23 0.287930756807 0.976611435413
24 0.257588326931 1.00826740265
25 0.266078519821 0.989027023315
26 0.203693887591 0.979401290417
27 0.185531336069 1.00034236908
28 0.217110419273 1.00134050846
29 0.233290347457 0.996958911419
30 0.241215077043 0.973857879639
31 0.233734190464 0.983608305454
32 0.237562939525 0.991953313351
33 0.178042334318 1.01655697823
34 0.167126628757 0.985664248466
35 0.159557974339 0.99149107933
36 0.204823037982 0.977291107178
37 0.20988702774 0.988009393215
38 0.183990854025 0.974845170975
39 0.14372536242 0.981965184212
40 0.169460678101 0.977066040039
41 0.15198700726 0.988220393658
42 0.179973569512 0.973342418671
43 0.177420467138 0.970531761646
44 0.160166968405 0.972339451313
45 0.128029844165 0.986849069595
46 0.144664415717 0.971794426441
47 0.150524398685 0.97745257616
48 0.15116019249 0.980045378208
49 0.128768701851 0.973586022854
model number is: 83012
mae:  1.07688765075
corr:  0.57172465214
mult_acc:  0.30466
mult f_score:  0.31684
Confusion Matrix :
[[270 109]
 [ 94 213]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74176   0.71240   0.72678       379
        True    0.66149   0.69381   0.67727       307

   micro avg    0.70408   0.70408   0.70408       686
   macro avg    0.70162   0.70311   0.70202       686
weighted avg    0.70584   0.70408   0.70462       686

Accuracy  0.704081632653
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 256, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [256, 48, 32], 'momentum': 0.6}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.0}]
0 1.26668057144 1.26004898548 saving model
1 1.00529157221 1.1422175169 saving model
2 0.88060516417 1.05663061142 saving model
3 0.793366131186 0.998596906662 saving model
4 0.720311021805 1.00232875347
5 0.664523226023 1.00597810745
6 0.619769106805 0.987195014954 saving model
7 0.671108338237 1.02032768726
8 0.636674124002 1.09706044197
9 0.669471389055 1.01864886284
10 0.575635416806 1.0007288456
11 0.468824771047 0.986774206161 saving model
12 0.434022301435 1.00285422802
13 0.42876213938 0.985678255558 saving model
14 0.39431475997 1.02124261856
15 0.406434825063 0.955012023449 saving model
16 0.381377050281 1.00169026852
17 0.384914802015 1.07945728302
18 0.404197154939 1.07652890682
19 0.388698841631 1.00477051735
20 0.322859727591 1.01226043701
21 0.307656791061 1.08303201199
22 0.342688442767 1.09699833393
23 0.396744823456 1.03346061707
24 0.431297548115 1.13806188107
25 0.38653228581 1.21362960339
26 0.369961022586 1.26508975029
27 0.385753044486 1.11510145664
28 0.405438153446 1.06510841846
29 0.447951741517 1.03008317947
30 0.414476531744 1.08052241802
31 0.395161771774 1.05332648754
32 0.393801128864 1.01551425457
33 0.312977692485 0.992030799389
34 0.232273495197 1.00523877144
35 0.195743742585 1.01272141933
36 0.184529238939 0.994203805923
37 0.176321043819 0.975804448128
38 0.180761095509 1.00326228142
39 0.188836699724 0.992615461349
40 0.20137000978 0.986790835857
41 0.213752605766 0.990926086903
42 0.23246923238 0.977190852165
43 0.240073970705 0.972615897655
44 0.247802125663 1.01586532593
45 0.200381936133 1.00664043427
46 0.190477390587 1.00037753582
47 0.211366901547 1.00018072128
48 0.213069652766 1.02593278885
49 0.258986666054 1.02014970779
model number is: 38312
mae:  1.0395973736
corr:  0.600283435139
mult_acc:  0.31341
mult f_score:  0.32501
Confusion Matrix :
[[306  73]
 [105 202]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74453   0.80739   0.77468       379
        True    0.73455   0.65798   0.69416       307

   micro avg    0.74052   0.74052   0.74052       686
   macro avg    0.73954   0.73268   0.73442       686
weighted avg    0.74006   0.74052   0.73865       686

Accuracy  0.740524781341
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 64, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [88, 48, 64], 'momentum': 0.5}, {'shapes': 32, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}]
0 1.30385463238 1.33718037605 saving model
1 1.12125668526 1.14491426945 saving model
2 1.00044381618 1.18712794781
3 0.973454463482 1.14024221897 saving model
4 0.877205955982 1.02546095848 saving model
5 0.792855668068 1.01563763618 saving model
6 0.764819967747 1.00928902626 saving model
7 0.729491114616 1.00668013096 saving model
8 0.677522218227 1.02087128162
9 0.681075668335 0.973044455051 saving model
10 0.615125000477 0.97063690424 saving model
11 0.561351001263 0.935488760471 saving model
12 0.522423624992 0.962313711643
13 0.503273016214 0.976536989212
14 0.460940337181 0.98038226366
15 0.450931143761 0.965643465519
16 0.493465405703 0.982182741165
17 0.526198524237 0.977257728577
18 0.449833846092 0.957141458988
19 0.40988637805 0.958722531796
20 0.390346169472 0.957855224609
21 0.381673270464 0.973854482174
22 0.381348884106 0.966151356697
23 0.384272032976 0.94158655405
24 0.372032052279 0.947097122669
25 0.337727224827 0.955048024654
26 0.337711918354 0.92944175005 saving model
27 0.320562779903 0.930496811867
28 0.310171103477 0.948639571667
29 0.31475481391 0.936258733273
30 0.294230377674 0.923247516155 saving model
31 0.297225147486 0.919782102108 saving model
32 0.295293921232 0.951470911503
33 0.283077478409 0.952603399754
34 0.284170162678 0.946311712265
35 0.285822027922 0.933303415775
36 0.294371551275 0.930991888046
37 0.264060410857 0.953725397587
38 0.284334290028 0.964684605598
39 0.304199278355 0.926624953747
40 0.31416170001 0.941172599792
41 0.288008403778 0.924201667309
42 0.278692281246 0.946181297302
43 0.284206491709 0.958779215813
44 0.267872786522 0.943887889385
45 0.261585578322 0.942449569702
46 0.25546374321 0.943740367889
47 0.248036018014 0.95362752676
48 0.244987669587 0.94016712904
49 0.246528846025 0.924509882927
model number is: 16999
mae:  1.07489170993
corr:  0.581071109947
mult_acc:  0.3309
mult f_score:  0.34031
Confusion Matrix :
[[266 113]
 [ 80 227]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76879   0.70185   0.73379       379
        True    0.66765   0.73941   0.70170       307

   micro avg    0.71866   0.71866   0.71866       686
   macro avg    0.71822   0.72063   0.71775       686
weighted avg    0.72352   0.71866   0.71943       686

Accuracy  0.718658892128
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [32, 64, 64], 'momentum': 0.8}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.0}, {'shapes': 64, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}]
0 1.32788329124 1.41103982925 saving model
1 1.30019307137 1.37613070011 saving model
2 1.25764611959 1.31937229633 saving model
3 1.16149083376 1.22258460522 saving model
4 1.02269961834 1.12913095951 saving model
5 0.927190196514 1.11142814159 saving model
6 0.887421524525 1.05946695805 saving model
7 0.850713473558 1.02637648582 saving model
8 0.800487971306 1.01358771324 saving model
9 0.760294926167 0.992291986942 saving model
10 0.723868632317 0.973137199879 saving model
11 0.692532247305 0.974175930023
12 0.664003390074 0.960471689701 saving model
13 0.643013685942 0.971117734909
14 0.617303586006 0.97960215807
15 0.604531770945 0.941530406475 saving model
16 0.640505984426 0.961494147778
17 0.66775508225 1.04090499878
18 0.681769424677 0.953410983086
19 0.565694454312 0.937824964523 saving model
20 0.536680579185 0.953906178474
21 0.539865407348 0.979779779911
22 0.531096702814 0.985825240612
23 0.528765490651 0.96479588747
24 0.534504032135 0.977119147778
25 0.476175817847 0.964382231236
26 0.441456854343 0.950204133987
27 0.437557309866 0.950640797615
28 0.435841536522 0.954024374485
29 0.455191236734 1.00729227066
30 0.482039424777 0.987466216087
31 0.482438457012 0.948438465595
32 0.389500644803 0.95837777853
33 0.35020852685 0.957358360291
34 0.330245941877 0.964497387409
35 0.31609184444 0.966253578663
36 0.305008760095 0.964255928993
37 0.291126546264 0.971617698669
38 0.301194381714 0.962009489536
39 0.281963907182 0.981726169586
40 0.300886969268 0.973182737827
41 0.302933043242 0.977661550045
42 0.311857956648 1.01997292042
43 0.378560376167 1.0185956955
44 0.47160282135 0.999303817749
45 0.36936416328 0.985393285751
46 0.295065537095 0.974628269672
47 0.254048481584 0.970269322395
48 0.246320962906 0.975600421429
49 0.232235041261 0.982757329941
model number is: 9712
mae:  1.02504859249
corr:  0.624951925086
mult_acc:  0.32507
mult f_score:  0.3444
Confusion Matrix :
[[283  96]
 [ 89 218]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76075   0.74670   0.75366       379
        True    0.69427   0.71010   0.70209       307

   micro avg    0.73032   0.73032   0.73032       686
   macro avg    0.72751   0.72840   0.72788       686
weighted avg    0.73100   0.73032   0.73058       686

Accuracy  0.730320699708
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 300, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [64, 80, 16], 'momentum': 0.9}, {'shapes': 128, 'drop': 0.2}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}, {'shapes': 256, 'drop': 0.7}]
0 1.30394683629 1.34799921513 saving model
1 1.09814533293 1.1832433939 saving model
2 0.966327743232 1.12016701698 saving model
3 0.85536224544 1.03864431381 saving model
4 0.811497960985 1.01308429241 saving model
5 0.765753698349 1.0035046339 saving model
6 0.707602037489 1.00431501865
7 0.67773867175 1.00585067272
8 0.647343154252 1.08292555809
9 0.655676511675 0.981059134007 saving model
10 0.618089191616 0.964976012707 saving model
11 0.573719502985 0.982349574566
12 0.516921193153 0.98647749424
13 0.50099266246 0.990245521069
14 0.480338670313 1.0267008543
15 0.476914858818 0.999209165573
16 0.466136433184 0.973537504673
17 0.446349555999 0.99183011055
18 0.436646958441 1.01220226288
19 0.4161171332 1.01120936871
20 0.397287879884 1.01587057114
21 0.381946900487 0.995593488216
22 0.353458344191 0.993736922741
23 0.35788246356 0.975590407848
24 0.357829156518 0.976115584373
25 0.351261655986 0.988581359386
26 0.342605870217 0.99600404501
27 0.34451889582 0.989174544811
28 0.334197025001 0.973025798798
29 0.330279467255 0.97553050518
30 0.304579050466 0.998055696487
31 0.315025280043 0.998542428017
32 0.318985315785 0.999125897884
33 0.33238757886 1.00421631336
34 0.360045269877 1.00369751453
35 0.366459271684 1.04749345779
36 0.39115806073 1.04214918613
37 0.367740746588 1.01435172558
38 0.324743548036 0.99315726757
39 0.305587548763 1.00124061108
40 0.284288893268 0.993611097336
41 0.271797258034 0.99412804842
42 0.281264925748 0.994895637035
43 0.276969397813 0.990185678005
44 0.284072967991 1.00334572792
45 0.282461065799 1.02492129803
46 0.315051868185 1.03158223629
47 0.287017253041 1.02063071728
48 0.283465960249 0.999857664108
49 0.263532467932 1.01730430126
model number is: 42279
mae:  1.02803066786
corr:  0.620720992536
mult_acc:  0.31195
mult f_score:  0.33374
Confusion Matrix :
[[285  94]
 [ 83 224]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77446   0.75198   0.76305       379
        True    0.70440   0.72964   0.71680       307

   micro avg    0.74198   0.74198   0.74198       686
   macro avg    0.73943   0.74081   0.73993       686
weighted avg    0.74311   0.74198   0.74235       686

Accuracy  0.741982507289
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 300, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [32, 48, 48], 'momentum': 0.8}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}, {'shapes': 128, 'drop': 0.2}]
0 1.26708491445 1.17077589035 saving model
1 0.985554870963 1.10499823093 saving model
2 0.850432506204 1.05986630917 saving model
3 0.766503489017 1.01617920399 saving model
4 0.720090955496 1.05461478233
5 0.682223135233 1.11158132553
6 0.655302673578 1.0108332634 saving model
7 0.581828206778 0.980459868908 saving model
8 0.524001418054 0.994987130165
9 0.485663826764 0.987513244152
10 0.464767594635 0.924566268921 saving model
11 0.442922385037 0.968428611755
12 0.463208292425 0.928860485554
13 0.430207428336 1.00442802906
14 0.409106357396 1.01382827759
15 0.438513106108 0.999454021454
16 0.455805309117 0.960171878338
17 0.442257806659 0.965234875679
18 0.392070743442 0.992084085941
19 0.372939693928 1.00109195709
20 0.366081908345 1.00070691109
21 0.333228249103 1.01910591125
22 0.314592422545 0.976947307587
23 0.291263250262 0.980380535126
24 0.304212642461 0.992373466492
25 0.30596312955 1.04498326778
26 0.335085566342 0.992524683475
27 0.342553265393 1.02497684956
28 0.328795256466 1.08000504971
29 0.369538763165 1.06834423542
30 0.401328271627 1.00446379185
31 0.385306566954 1.04994690418
32 0.390273685753 0.991224825382
33 0.393654800206 0.961122989655
34 0.456148044765 1.11553573608
35 0.457088592649 1.27148461342
36 0.528861171007 1.01752638817
37 0.40233682245 1.01201498508
38 0.31634477824 1.00407886505
39 0.264013703167 0.983645260334
40 0.247934138775 0.980085611343
41 0.234664174914 0.972289562225
42 0.228080897778 1.00777423382
43 0.256658136845 1.01907110214
44 0.257419101149 1.00876629353
45 0.27005681172 1.00481033325
46 0.247922220081 1.01471102238
47 0.230098439753 1.02133095264
48 0.259639929235 0.999412059784
49 0.290475814044 0.993233919144
model number is: 76983
mae:  1.06321200128
corr:  0.596520682773
mult_acc:  0.3105
mult f_score:  0.32645
Confusion Matrix :
[[266 113]
 [ 77 230]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77551   0.70185   0.73684       379
        True    0.67055   0.74919   0.70769       307

   micro avg    0.72303   0.72303   0.72303       686
   macro avg    0.72303   0.72552   0.72227       686
weighted avg    0.72854   0.72303   0.72380       686

Accuracy  0.723032069971
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 300, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [128, 32, 48], 'momentum': 0.5}, {'shapes': 256, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.2}, {'shapes': 256, 'drop': 0.2}]
0 1.2893042922 1.20442032814 saving model
1 1.02780023217 1.1600278616 saving model
2 0.88787072897 1.14700639248 saving model
3 0.866550678015 1.0476539135 saving model
4 0.734813439846 0.964612424374 saving model
5 0.626051092148 0.980664134026
6 0.571515783668 0.947699546814 saving model
7 0.551131388545 1.04089355469
8 0.526788696647 1.0127133131
9 0.519029712677 1.00099503994
10 0.535867834091 0.961060881615
11 0.499964883924 0.945303797722 saving model
12 0.499779352546 0.957138955593
13 0.438164627552 0.984916329384
14 0.414973777533 1.00803172588
15 0.405531936884 1.03155362606
16 0.420151802897 1.09413206577
17 0.558290594816 1.08854150772
18 0.718562406301 1.04586577415
19 0.441934069991 0.967103600502
20 0.378498023748 0.944432556629 saving model
21 0.430763709545 0.979269385338
22 0.425891587138 0.945333063602
23 0.417654386163 0.945736885071
24 0.312736204267 0.964828133583
25 0.340461695194 0.977286696434
26 0.368610173464 0.984504818916
27 0.393066760898 0.939032912254 saving model
28 0.315596106648 0.947172164917
29 0.297880339622 0.980651855469
30 0.286733226478 0.964953243732
31 0.313386246562 0.959402561188
32 0.296501410007 0.923911929131 saving model
33 0.260744598508 0.936605274677
34 0.239367234707 0.984343290329
35 0.262189085782 0.975529432297
36 0.275436379015 0.927712202072
37 0.298000055552 0.937279462814
38 0.294420346618 0.954711258411
39 0.29079336673 0.950979590416
40 0.247412987053 0.95011484623
41 0.279951892793 0.937899112701
42 0.283815671504 0.960925519466
43 0.294847074151 0.939081192017
44 0.244962751865 0.949100553989
45 0.247411595285 0.916918575764 saving model
46 0.236089290679 0.932424008846
47 0.230815601349 0.931562006474
48 0.240444134176 0.917891979218
49 0.228602707386 0.922918915749
model number is: 92567
mae:  1.06178980744
corr:  0.556805416822
mult_acc:  0.30758
mult f_score:  0.30743
Confusion Matrix :
[[285  94]
 [103 204]]
Classification Report :
              precision    recall  f1-score   support

       False    0.73454   0.75198   0.74316       379
        True    0.68456   0.66450   0.67438       307

   micro avg    0.71283   0.71283   0.71283       686
   macro avg    0.70955   0.70824   0.70877       686
weighted avg    0.71217   0.71283   0.71238       686

Accuracy  0.712827988338
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 64, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [88, 48, 80], 'momentum': 0.8}, {'shapes': 128, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}, {'shapes': 256, 'drop': 0.0}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}]
0 1.31319394112 1.32625961304 saving model
1 1.13927974701 1.24991703033 saving model
2 1.02011758089 1.22772800922 saving model
3 1.00069401264 1.15170919895 saving model
4 0.900545620918 1.09940516949 saving model
5 0.827285218239 1.0337895155 saving model
6 0.761339259148 1.01111030579 saving model
7 0.71945258379 1.05392956734
8 0.746054005623 1.01458597183
9 0.726971209049 1.03155195713
10 0.686385798454 1.02250349522
11 0.592672252655 0.987138926983 saving model
12 0.569086444378 1.00428533554
13 0.534325432777 1.01796317101
14 0.515900635719 1.02541518211
15 0.514532893896 0.988016247749
16 0.472686040401 0.994012534618
17 0.465105116367 0.951622307301 saving model
18 0.41472992301 1.00319397449
19 0.38851993084 1.00197827816
20 0.355576759577 0.987911701202
21 0.354843938351 0.973130166531
22 0.336781769991 1.01006054878
23 0.334825646877 0.975863397121
24 0.301598596573 0.978694736958
25 0.295993721485 0.969491064548
26 0.286646127701 0.987521588802
27 0.31205098033 0.957746744156
28 0.322891110182 1.01349937916
29 0.324716371298 0.97387701273
30 0.276024666429 1.0016605854
31 0.255505168438 0.995675683022
32 0.255704003572 0.985436797142
33 0.242803367972 0.967046260834
34 0.23004270494 0.975954890251
35 0.221350681782 0.980591475964
36 0.24900996387 0.983402431011
37 0.246902740002 0.974811673164
38 0.262983119488 0.965935111046
39 0.248527806997 0.966269552708
40 0.214097237587 0.968902587891
41 0.221135434508 0.985330760479
42 0.213544097543 0.96536886692
43 0.198003515601 0.961219549179
44 0.200544720888 0.968390583992
45 0.189632633328 0.978121697903
46 0.193289145827 0.975547432899
47 0.197601231933 0.955588698387
48 0.20192618072 0.972231686115
49 0.225133800507 0.97855591774
model number is: 21159
mae:  1.05490495954
corr:  0.596630620944
mult_acc:  0.31487
mult f_score:  0.32839
Confusion Matrix :
[[277 102]
 [ 93 214]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74865   0.73087   0.73965       379
        True    0.67722   0.69707   0.68700       307

   micro avg    0.71574   0.71574   0.71574       686
   macro avg    0.71293   0.71397   0.71333       686
weighted avg    0.71668   0.71574   0.71609       686

Accuracy  0.715743440233
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 300, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [64, 80, 80], 'momentum': 0.5}, {'shapes': 64, 'drop': 0.2}, {'shapes': 256, 'drop': 0.5}, {'shapes': 128, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}]
0 1.30719748735 1.37095594406 saving model
1 1.14539416432 1.13668751717 saving model
2 0.959522607923 1.09486353397 saving model
3 0.854527816176 1.05259513855 saving model
4 0.798288947344 1.03205358982 saving model
5 0.756034591794 1.01401400566 saving model
6 0.771799388528 1.03033316135
7 0.764660814404 1.00290584564 saving model
8 0.670718413591 1.01794075966
9 0.650515338778 0.998983085155 saving model
10 0.634344616532 1.00740015507
11 0.607399658859 1.01016497612
12 0.563178947568 0.986398220062 saving model
13 0.547362999618 1.006731987
14 0.531322692335 0.984613955021 saving model
15 0.479290543497 0.99699229002
16 0.462121012807 1.04748129845
17 0.447513973713 0.985021293163
18 0.441028295457 1.01470005512
19 0.436749699712 1.02152717113
20 0.35517501235 1.03328716755
21 0.340622551739 1.02392935753
22 0.363632244617 1.03639984131
23 0.410387995839 1.04481589794
24 0.320877701044 1.03530454636
25 0.290406648815 1.02934086323
26 0.294646134228 1.03759539127
27 0.296170798689 1.04068493843
28 0.310479490459 1.05209195614
29 0.341060198843 1.08001637459
30 0.374194069207 1.08995199203
31 0.394031010568 1.08318483829
32 0.432546380162 1.10933351517
33 0.409224070609 1.09971475601
34 0.35148807168 1.14323437214
35 0.408530470729 1.20167326927
36 0.49073330313 1.08956348896
37 0.45288311094 1.04908883572
38 0.383024522662 1.01983225346
39 0.322213426232 1.00470077991
40 0.271694597602 1.01409697533
41 0.2305274643 1.03794133663
42 0.194890765101 1.03858959675
43 0.172299766541 1.05414223671
44 0.18295159936 1.0484815836
45 0.186032813042 1.05355072021
46 0.225534626096 1.07329344749
47 0.271734093875 1.06663691998
48 0.260436108708 1.04933059216
49 0.221251625568 1.02414703369
model number is: 15854
mae:  1.02118296936
corr:  0.621038259861
mult_acc:  0.31195
mult f_score:  0.32594
Confusion Matrix :
[[282  97]
 [ 86 221]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76630   0.74406   0.75502       379
        True    0.69497   0.71987   0.70720       307

   micro avg    0.73324   0.73324   0.73324       686
   macro avg    0.73064   0.73197   0.73111       686
weighted avg    0.73438   0.73324   0.73362       686

Accuracy  0.733236151603
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 64, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [32, 32, 32], 'momentum': 0.6}, {'shapes': 128, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.0}, {'shapes': 256, 'drop': 0.0}]
0 1.22981217504 1.23790466785 saving model
1 0.935458615422 1.06859469414 saving model
2 0.807823306322 1.05122470856 saving model
3 0.767468583584 1.08745229244
4 0.760592022538 1.05170345306
5 0.695615413785 0.991627812386 saving model
6 0.560300700366 0.997726082802
7 0.483499501646 1.00542771816
8 0.452093319595 1.03166937828
9 0.449030299485 1.00272274017
10 0.553854948282 1.04693889618
11 0.483910547197 1.00484228134
12 0.351591687649 1.01023375988
13 0.345818184316 1.02688860893
14 0.366171506047 1.01031339169
15 0.34653018564 1.02180755138
16 0.358985973895 1.03835642338
17 0.330183332413 1.02147483826
18 0.289212265611 0.996426224709
19 0.306498878449 1.01862347126
20 0.287771955132 1.03368782997
21 0.255063870549 1.00502109528
22 0.246095598489 1.02149689198
23 0.273028500378 1.0574657917
24 0.239077161998 1.02835345268
25 0.272195130587 1.05743992329
26 0.332978344709 1.05206334591
27 0.363618262857 1.10262477398
28 0.3753219679 1.07690250874
29 0.37917560935 1.08524906635
30 0.342575199902 1.12227070332
31 0.391848319769 1.10624718666
32 0.446292871237 1.0454583168
33 0.371418280154 1.03973770142
34 0.333330871165 1.04850649834
35 0.314763627946 1.02277171612
36 0.298681839556 1.05509150028
37 0.276982822269 1.02062261105
38 0.22016453892 1.02172613144
39 0.181263830513 1.03027272224
40 0.18908345066 1.03015124798
41 0.205632533133 1.04989421368
42 0.234313478321 1.0263260603
43 0.250674661994 1.0912913084
44 0.240480918437 1.08156895638
45 0.231937799603 1.13936769962
46 0.353166384995 1.037566185
47 0.354987336695 1.04916501045
48 0.292458795756 1.03412365913
49 0.269261837006 1.02719974518
model number is: 57904
mae:  1.06034716756
corr:  0.593225062182
mult_acc:  0.30612
mult f_score:  0.3306
Confusion Matrix :
[[284  95]
 [ 94 213]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75132   0.74934   0.75033       379
        True    0.69156   0.69381   0.69268       307

   micro avg    0.72449   0.72449   0.72449       686
   macro avg    0.72144   0.72158   0.72151       686
weighted avg    0.72458   0.72449   0.72453       686

Accuracy  0.724489795918
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 64, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [156, 8, 16], 'momentum': 0.1}, {'shapes': 64, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}, {'shapes': 32, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.2}]
0 1.19164998829 1.10769295692 saving model
1 0.954253455997 1.04487919807 saving model
2 0.8164462924 0.984413385391 saving model
3 0.741069754958 0.935424923897 saving model
4 0.63581764549 0.889294326305 saving model
5 0.579866504669 0.967962145805
6 0.564601916075 1.02325689793
7 0.596107131243 1.04965889454
8 0.515059323609 0.964857459068
9 0.443002313375 0.981742918491
10 0.433252635598 0.981206357479
11 0.397669664025 0.970671415329
12 0.369268669188 0.977008938789
13 0.363078744709 0.951492249966
14 0.34548368305 0.985976159573
15 0.373866151273 0.963058650494
16 0.337627565861 0.961097002029
17 0.308746272326 0.960017621517
18 0.287585421652 0.944199323654
19 0.337684261054 0.972362399101
20 0.322623699903 0.972770869732
21 0.334172143042 0.975868999958
22 0.297657491267 0.982025265694
23 0.366408972442 0.984287559986
24 0.429471726716 0.974876999855
25 0.409319165349 0.986849069595
26 0.35417111069 0.975469172001
27 0.336058731377 0.987041771412
28 0.28796916008 0.970588028431
29 0.275710092485 0.984546661377
30 0.280219659954 1.02469742298
31 0.299409355223 1.0735129118
32 0.345378444344 1.07451593876
33 0.416601288319 1.05932235718
34 0.471261575818 1.05897641182
35 0.503786382079 1.09799766541
36 0.531443887949 1.10215568542
37 0.460409447551 1.09897065163
38 0.400156195462 1.02351093292
39 0.40302900672 0.993741214275
40 0.353960310668 1.00930798054
41 0.345706902444 1.00723052025
42 0.315102723986 1.02984857559
43 0.341554109752 1.01853072643
44 0.361017711461 1.08294427395
45 0.397424843907 1.11704266071
46 0.404694215953 1.03750240803
47 0.356747949123 1.03589165211
48 0.313295461237 1.00510895252
49 0.315659335256 0.986450731754
model number is: 64073
mae:  0.99078739261
corr:  0.634323053537
mult_acc:  0.32653
mult f_score:  0.3526
Confusion Matrix :
[[308  71]
 [ 94 213]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76617   0.81266   0.78873       379
        True    0.75000   0.69381   0.72081       307

   micro avg    0.75948   0.75948   0.75948       686
   macro avg    0.75808   0.75324   0.75477       686
weighted avg    0.75893   0.75948   0.75834       686

Accuracy  0.759475218659
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 300, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [64, 48, 8], 'momentum': 0.1}, {'shapes': 128, 'drop': 0.5}, {'shapes': 256, 'drop': 0.0}, {'shapes': 256, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}]
0 1.31465060711 1.39554011822 saving model
1 1.27106668949 1.32331049442 saving model
2 1.13524557352 1.16525924206 saving model
3 0.975613051653 1.10657608509 saving model
4 0.897117692232 1.09642112255 saving model
5 0.849449884892 1.06312382221 saving model
6 0.805310493708 1.03357899189 saving model
7 0.77481379509 1.02671933174 saving model
8 0.72759103775 1.0251969099 saving model
9 0.707850140333 0.999103069305 saving model
10 0.668494349718 0.999233603477
11 0.639117115736 1.01697933674
12 0.655331009626 1.02117979527
13 0.638869592547 1.03056418896
14 0.602784413099 1.00790452957
15 0.563878956437 1.01065886021
16 0.529761272669 1.03468799591
17 0.50785292685 1.0270421505
18 0.494366931915 1.01341855526
19 0.540651252866 1.01521945
20 0.454695242643 1.00861752033
21 0.426258260012 1.01590549946
22 0.400642800331 1.02665889263
23 0.402485573292 1.05897045135
24 0.412919732928 1.04649329185
25 0.458780512214 1.03821480274
26 0.364011779428 1.0200804472
27 0.404407665133 1.07567834854
28 0.361797446012 1.05584812164
29 0.334423992038 1.06834459305
30 0.387022021413 1.08023202419
31 0.537388128042 1.06433928013
32 0.602941066027 1.0925617218
33 0.546975284815 0.993654608727 saving model
34 0.442619621754 1.04787647724
35 0.504882109165 1.03009283543
36 0.404368183017 1.02317476273
37 0.338533008099 1.03813660145
38 0.313806669414 1.03639638424
39 0.287093134224 1.05062949657
40 0.255332641304 1.04409527779
41 0.250814254582 1.04072642326
42 0.242218104005 1.04634869099
43 0.245931451023 1.0629336834
44 0.317359977961 1.0734950304
45 0.315758904815 1.06734895706
46 0.372721740603 1.11973774433
47 0.406008978188 1.0402276516
48 0.341598156095 1.02508306503
49 0.247177645564 1.03546214104
model number is: 83048
mae:  1.01342210788
corr:  0.629210318827
mult_acc:  0.3309
mult f_score:  0.3395
Confusion Matrix :
[[292  87]
 [ 89 218]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76640   0.77045   0.76842       379
        True    0.71475   0.71010   0.71242       307

   micro avg    0.74344   0.74344   0.74344       686
   macro avg    0.74058   0.74027   0.74042       686
weighted avg    0.74329   0.74344   0.74336       686

Accuracy  0.743440233236
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 300, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [156, 8, 8], 'momentum': 0.1}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.0}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}]
0 1.25219079256 1.17671966553 saving model
1 1.10391016603 1.21532225609
2 0.970831239223 1.06975412369 saving model
3 0.90304363966 1.03110051155 saving model
4 0.823857474327 1.01681399345 saving model
5 0.798526376486 0.968349397182 saving model
6 0.713850384951 0.946732759476 saving model
7 0.679682445526 0.975744366646
8 0.669698607922 0.963884651661
9 0.638832306862 1.00153982639
10 0.622700566053 0.962894082069
11 0.597373390198 0.951808452606
12 0.565824952722 0.944894194603 saving model
13 0.574933350086 1.01510357857
14 0.599118244648 1.10911405087
15 0.640311843157 1.00341391563
16 0.60805901885 0.986413121223
17 0.55167901516 0.950882077217
18 0.490095996857 0.954106867313
19 0.480316701531 0.960690557957
20 0.468531134725 0.980837643147
21 0.444662123919 0.968135178089
22 0.449418404698 0.962704479694
23 0.438238710165 0.928778111935 saving model
24 0.443621882796 0.925871133804 saving model
25 0.439147883654 0.96873497963
26 0.418369203806 1.00443160534
27 0.427729555964 0.987620949745
28 0.437377232313 0.968068242073
29 0.42665374577 0.924777925014 saving model
30 0.436663973331 0.971466064453
31 0.425978028774 0.986425817013
32 0.41023235023 0.990348219872
33 0.40232064724 0.94823539257
34 0.374263989925 0.950417459011
35 0.373513904214 0.954924464226
36 0.38421510458 0.964769542217
37 0.394341364503 0.934257030487
38 0.368531790376 0.929168283939
39 0.374293717742 0.950760602951
40 0.392565923929 0.950316786766
41 0.378740957379 0.955769658089
42 0.365755650401 0.943212330341
43 0.376369199157 0.959899246693
44 0.364976766706 0.967671096325
45 0.358632701635 0.970481514931
46 0.368744894862 0.931574940681
47 0.35833260417 0.936703920364
48 0.380493524671 0.974911510944
49 0.375145745277 0.991155385971
model number is: 27856
mae:  1.06479378507
corr:  0.59059741988
mult_acc:  0.32507
mult f_score:  0.34184
Confusion Matrix :
[[268 111]
 [ 91 216]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74652   0.70712   0.72629       379
        True    0.66055   0.70358   0.68139       307

   micro avg    0.70554   0.70554   0.70554       686
   macro avg    0.70353   0.70535   0.70384       686
weighted avg    0.70805   0.70554   0.70619       686

Accuracy  0.705539358601
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 400, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [128, 16, 8], 'momentum': 0.1}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.7}, {'shapes': 128, 'drop': 0.2}]
0 1.29655182958 1.31657898426 saving model
1 1.08439197838 1.13281285763 saving model
2 0.935742330551 1.09532606602 saving model
3 0.847948694229 1.0515216589 saving model
4 0.790822637081 1.0424503088 saving model
5 0.73051776886 1.0283510685 saving model
6 0.682704919577 1.01010513306 saving model
7 0.649538949132 0.997405767441 saving model
8 0.639300279319 1.00424849987
9 0.565100693703 1.00093758106
10 0.56029523164 1.00207781792
11 0.542304800451 0.987810134888 saving model
12 0.585882049799 1.03777360916
13 0.614516299963 1.02049565315
14 0.513367551565 1.01021027565
15 0.47000824213 0.987562716007 saving model
16 0.413948653638 1.02322912216
17 0.3999219805 1.04110872746
18 0.416088211536 1.00751686096
19 0.426784554124 1.00887906551
20 0.416399328411 0.999439239502
21 0.348283073306 1.01425254345
22 0.333766666055 1.00325095654
23 0.339986109734 0.991378009319
24 0.308516684175 0.9997574687
25 0.300577695668 1.01616430283
26 0.312211875618 0.999491751194
27 0.295900605619 0.987159073353 saving model
28 0.288847699016 0.987912774086
29 0.264162841439 1.0419383049
30 0.275940879434 1.0172535181
31 0.262089573592 0.990068733692
32 0.270604269952 1.00873160362
33 0.298637108505 1.01366198063
34 0.299053991586 1.00559461117
35 0.323759393394 1.04776096344
36 0.320082773268 1.02478563786
37 0.296769052744 1.00057959557
38 0.272508618981 0.998850464821
39 0.237914643437 1.01373064518
40 0.215938480943 0.974589109421 saving model
41 0.224647846073 1.00139176846
42 0.233243308961 0.997468054295
43 0.204094985127 1.02017366886
44 0.210568269342 1.001480937
45 0.21054758504 1.00249361992
46 0.208447302133 0.984701514244
47 0.21808128655 1.0412222147
48 0.199593345076 1.02664041519
49 0.211150537431 1.00240969658
model number is: 82211
mae:  1.07729702344
corr:  0.58587893031
mult_acc:  0.29592
mult f_score:  0.30511
Confusion Matrix :
[[268 111]
 [ 81 226]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76791   0.70712   0.73626       379
        True    0.67062   0.73616   0.70186       307

   micro avg    0.72012   0.72012   0.72012       686
   macro avg    0.71927   0.72164   0.71906       686
weighted avg    0.72437   0.72012   0.72087       686

Accuracy  0.720116618076
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 256, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [32, 8, 48], 'momentum': 0.3}, {'shapes': 256, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.5}, {'shapes': 128, 'drop': 0.7}]
0 1.31510897875 1.39975678921 saving model
1 1.29226267338 1.35135316849 saving model
2 1.16929292977 1.13012051582 saving model
3 1.01360122859 1.05631160736 saving model
4 0.939365324378 1.05787694454
5 0.861277893186 1.03292882442 saving model
6 0.82499499321 1.02329277992 saving model
7 0.785048353672 1.01480710506 saving model
8 0.752583658695 1.00794827938 saving model
9 0.733089584112 1.01200771332
10 0.691088011861 0.999515891075 saving model
11 0.680133348703 0.996445178986 saving model
12 0.648310464621 1.01338505745
13 0.618239174783 0.980302155018 saving model
14 0.62236161232 1.01165366173
15 0.587983000278 1.01538860798
16 0.589610731602 1.01309752464
17 0.58639292419 1.01547908783
18 0.599499261379 0.995678961277
19 0.603083226085 0.984822928905
20 0.550252470374 1.00397086143
21 0.511249142885 0.990173578262
22 0.493210938573 0.977879285812 saving model
23 0.471346774697 0.993953049183
24 0.474832636118 1.0020288229
25 0.447116844356 0.995116770267
26 0.447845539451 1.02333199978
27 0.434647616744 0.998310446739
28 0.454685665667 1.01895272732
29 0.4585469082 1.00350749493
30 0.448131242394 0.978691279888
31 0.431426073611 1.00522172451
32 0.390081448853 1.02623283863
33 0.390027445555 1.00601923466
34 0.392365732789 0.994246959686
35 0.425660775602 1.01133942604
36 0.386701489985 1.03728997707
37 0.367123788595 1.02723670006
38 0.359422846138 1.03433895111
39 0.373623111844 0.995924532413
40 0.375774505734 1.01758432388
41 0.369170185924 1.01079511642
42 0.347500038147 1.02045059204
43 0.343520127237 1.01499271393
44 0.34189723134 1.03187012672
45 0.343389621377 1.04052495956
46 0.32738519311 1.03319764137
47 0.317462304235 1.020362854
48 0.342957219481 1.01106464863
49 0.327702668309 1.02603304386
model number is: 94186
mae:  1.06726216884
corr:  0.602140489275
mult_acc:  0.31778
mult f_score:  0.33609
Confusion Matrix :
[[271 108]
 [ 70 237]]
Classification Report :
              precision    recall  f1-score   support

       False    0.79472   0.71504   0.75278       379
        True    0.68696   0.77199   0.72699       307

   micro avg    0.74052   0.74052   0.74052       686
   macro avg    0.74084   0.74351   0.73989       686
weighted avg    0.74649   0.74052   0.74124       686

Accuracy  0.740524781341
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 256, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [88, 48, 80], 'momentum': 0.9}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}, {'shapes': 64, 'drop': 0.2}]
0 1.30562306046 1.35811924934 saving model
1 1.16822211146 1.16004371643 saving model
2 0.964829948545 1.07513868809 saving model
3 0.874995085597 1.05784368515 saving model
4 0.818270850182 1.05290877819 saving model
5 0.77804145515 1.08034610748
6 0.764066034555 1.01076364517 saving model
7 0.729992559552 1.00045740604 saving model
8 0.67364538312 0.997711718082 saving model
9 0.647389066219 1.01375544071
10 0.605342358351 1.01847541332
11 0.574297727644 1.02710652351
12 0.558864730597 1.015640378
13 0.508693428338 1.01240372658
14 0.502903419733 1.0011960268
15 0.487687210739 1.03104305267
16 0.490311385691 1.07640683651
17 0.528902672231 1.05627000332
18 0.488793765008 1.00173854828
19 0.44005638957 1.00823307037
20 0.430741864443 1.01798415184
21 0.424563771486 0.987661540508 saving model
22 0.40940541178 0.992415130138
23 0.390219244361 0.97851973772 saving model
24 0.353812108934 1.02675688267
25 0.358756032586 1.04918181896
26 0.381021510065 1.01863515377
27 0.371254806221 1.03216004372
28 0.403992001712 1.05747640133
29 0.428688493371 1.22910416126
30 0.544059322774 1.11603331566
31 0.575010344386 1.00506055355
32 0.506881852448 0.992243349552
33 0.402467797697 0.990291535854
34 0.345855560899 0.988923728466
35 0.294541965425 0.992081403732
36 0.254734934866 1.00355124474
37 0.256790757924 0.995501101017
38 0.238096515089 1.02156019211
39 0.242846741527 1.00533485413
40 0.238896238059 1.02320957184
41 0.258272588253 1.02502667904
42 0.278750896454 0.975917339325 saving model
43 0.276345309615 0.990625083447
44 0.257467716187 1.02645373344
45 0.276603385061 1.03579342365
46 0.261177736521 1.05907595158
47 0.254168658704 1.05918288231
48 0.228806977719 1.02529406548
49 0.231188718975 1.00340294838
model number is: 87353
mae:  1.08463254332
corr:  0.567110358648
mult_acc:  0.28863
mult f_score:  0.29664
Confusion Matrix :
[[263 116]
 [ 96 211]]
Classification Report :
              precision    recall  f1-score   support

       False    0.73259   0.69393   0.71274       379
        True    0.64526   0.68730   0.66562       307

   micro avg    0.69096   0.69096   0.69096       686
   macro avg    0.68893   0.69061   0.68918       686
weighted avg    0.69351   0.69096   0.69165       686

Accuracy  0.690962099125
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 256, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [156, 48, 32], 'momentum': 0.8}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.2}]
0 1.26297236085 1.22659981251 saving model
1 1.00985970646 1.10270380974 saving model
2 0.89050052017 1.03703796864 saving model
3 0.80187587738 0.99216401577 saving model
4 0.730534189939 1.01309227943
5 0.663151323795 1.02418589592
6 0.624583698809 1.01241755486
7 0.595323094726 1.00164973736
8 0.576115544885 1.01255679131
9 0.560500177741 1.01992857456
10 0.512501624227 1.02894842625
11 0.49963920787 1.06771528721
12 0.49593585059 1.04295957088
13 0.46270647347 1.00996220112
14 0.413576194644 1.00052189827
15 0.399477393925 1.00403535366
16 0.378378600627 0.998102843761
17 0.369154018164 1.02717351913
18 0.35047750026 0.984617292881 saving model
19 0.328184431046 0.992557823658
20 0.308648398891 0.995725333691
21 0.293163158372 0.97387945652 saving model
22 0.300412771106 0.992668271065
23 0.312662973255 1.00776481628
24 0.308083337173 0.988397717476
25 0.291387301311 1.00644516945
26 0.298204800487 1.0261605978
27 0.332525159046 1.07482159138
28 0.310745132715 1.00902426243
29 0.304349806532 1.00493490696
30 0.297608067468 0.97995018959
31 0.324400418624 0.990299522877
32 0.283303818479 1.01128196716
33 0.237844627723 1.01610660553
34 0.224172001705 1.00793588161
35 0.231465484947 1.02865731716
36 0.224888476729 0.995272099972
37 0.230720403418 0.996517777443
38 0.240671906993 0.995778203011
39 0.273577529564 1.01693308353
40 0.26661977917 1.00284385681
41 0.219782641158 0.98886603117
42 0.199846338108 0.99458026886
43 0.185862948 1.00295770168
44 0.197329685092 1.00839817524
45 0.199656177312 1.01926100254
46 0.203708171844 1.02624690533
47 0.204136015847 1.0365550518
48 0.20593679212 1.02374589443
49 0.204658443108 1.00740075111
model number is: 38692
mae:  1.01633927484
corr:  0.601530269414
mult_acc:  0.30321
mult f_score:  0.30921
Confusion Matrix :
[[302  77]
 [103 204]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74568   0.79683   0.77041       379
        True    0.72598   0.66450   0.69388       307

   micro avg    0.73761   0.73761   0.73761       686
   macro avg    0.73583   0.73066   0.73214       686
weighted avg    0.73686   0.73761   0.73616       686

Accuracy  0.737609329446
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 256, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [256, 16, 48], 'momentum': 0.3}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}]
0 1.24981618524 1.24177753925 saving model
1 1.01201001108 1.11029314995 saving model
2 0.878663223982 0.987562894821 saving model
3 0.752882614732 0.963295400143 saving model
4 0.682097515464 1.00990653038
5 0.63458558917 0.987568616867
6 0.607718919218 0.93772816658 saving model
7 0.601710548997 1.00730991364
8 0.582485295832 0.98139578104
9 0.444332718849 0.95940643549
10 0.413553594053 0.915136039257 saving model
11 0.454929688573 0.926501452923
12 0.355213372409 0.933058977127
13 0.341995303333 0.958875477314
14 0.358634197712 0.955033242702
15 0.418421585858 0.920917510986
16 0.348594929278 0.983908176422
17 0.304197757691 0.88849902153 saving model
18 0.318399084359 0.943636536598
19 0.308271364868 0.940852761269
20 0.264826323837 0.90168428421
21 0.278847084939 0.895435869694
22 0.279697862267 0.954216957092
23 0.272692221403 0.90830385685
24 0.249714448303 0.921971738338
25 0.301713366807 0.903673887253
26 0.299478772283 0.979078829288
27 0.389156876504 1.07425141335
28 0.45543512702 0.992551326752
29 0.442191879451 1.00434696674
30 0.373736317456 0.974816203117
31 0.342638622224 1.06229269505
32 0.446367493272 0.955063343048
33 0.40577865392 0.972702741623
34 0.348625146598 0.993380308151
35 0.297142419219 0.997674942017
36 0.244017570466 0.986197113991
37 0.225241839141 0.94131064415
38 0.200611845404 0.934325218201
39 0.1928205356 0.916067779064
40 0.208209149539 0.929286420345
41 0.214327247441 0.909907102585
42 0.251926358789 0.964454352856
43 0.323500466347 0.922909319401
44 0.359730902314 0.96044510603
45 0.30903256461 0.970089733601
46 0.26270404011 0.985485613346
47 0.270169879496 1.01408922672
48 0.313067630678 0.934716761112
49 0.382941994816 1.02169680595
model number is: 52552
mae:  1.05717856328
corr:  0.590994554244
mult_acc:  0.3207
mult f_score:  0.32369
Confusion Matrix :
[[265 114]
 [ 82 225]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76369   0.69921   0.73003       379
        True    0.66372   0.73290   0.69659       307

   micro avg    0.71429   0.71429   0.71429       686
   macro avg    0.71370   0.71605   0.71331       686
weighted avg    0.71895   0.71429   0.71507       686

Accuracy  0.714285714286
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 400, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [256, 48, 8], 'momentum': 0.5}, {'shapes': 32, 'drop': 0.7}, {'shapes': 256, 'drop': 0.7}, {'shapes': 32, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}]
0 1.27420588136 1.30352413654 saving model
1 1.13097604215 1.15697753429 saving model
2 0.961893209815 1.07420659065 saving model
3 0.895708504319 1.05655562878 saving model
4 0.826766085625 1.00350570679 saving model
5 0.764890632033 1.06467080116
6 0.739346405864 0.990369975567 saving model
7 0.680388978124 0.969283998013 saving model
8 0.634739637375 0.96797144413 saving model
9 0.590954729915 0.954474806786 saving model
10 0.545422399044 0.970576107502
11 0.537154738605 0.942268788815 saving model
12 0.536158268154 0.913786232471 saving model
13 0.536878205836 1.00073158741
14 0.531801040471 0.970300793648
15 0.485492004454 0.934790611267
16 0.487481294572 0.916942059994
17 0.465344639122 0.944124519825
18 0.468836520612 0.93328410387
19 0.455451197922 0.949967682362
20 0.455882389843 0.943166136742
21 0.446480046213 0.961378455162
22 0.431222359836 0.960610985756
23 0.427953135967 0.980422616005
24 0.482844802737 0.954675793648
25 0.469299592078 0.96997654438
26 0.490117540956 1.01273465157
27 0.473091447353 0.988898038864
28 0.475453273952 0.984172523022
29 0.489161808789 0.964453577995
30 0.448596324027 0.928015291691
31 0.462841959298 0.966384410858
32 0.477060031891 0.946657121181
33 0.465883930027 0.919178366661
34 0.420017999411 0.914515376091
35 0.40211468637 0.938694655895
36 0.423115062714 0.969829618931
37 0.403265823424 0.965749680996
38 0.409081627429 0.971473813057
39 0.400888063014 0.957004845142
40 0.386982916296 0.989065766335
41 0.385713241994 0.959654808044
42 0.407937146723 0.934008479118
43 0.40845849812 0.921203613281
44 0.397139298916 0.915239870548
45 0.416616456211 0.927437603474
46 0.413845975697 0.928097784519
47 0.397625797987 0.919049978256
48 0.417696064711 0.961396038532
49 0.414887045324 0.982893109322
model number is: 7119
mae:  1.02820959349
corr:  0.60901116918
mult_acc:  0.30758
mult f_score:  0.3277
Confusion Matrix :
[[292  87]
 [ 93 214]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75844   0.77045   0.76440       379
        True    0.71096   0.69707   0.70395       307

   micro avg    0.73761   0.73761   0.73761       686
   macro avg    0.73470   0.73376   0.73417       686
weighted avg    0.73719   0.73761   0.73734       686

Accuracy  0.737609329446
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 128, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [128, 32, 16], 'momentum': 0.3}, {'shapes': 128, 'drop': 0.2}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}]
0 1.32125430107 1.40981173515 saving model
1 1.29724752903 1.37910079956 saving model
2 1.25626142025 1.31463432312 saving model
3 1.16053643227 1.16578745842 saving model
4 1.06239552498 1.11588811874 saving model
5 1.01005339622 1.09757518768 saving model
6 0.945919418335 1.08689749241 saving model
7 0.914503920078 1.06583619118 saving model
8 0.876308345795 1.05485236645 saving model
9 0.855419480801 1.03303718567 saving model
10 0.824389243126 1.01575779915 saving model
11 0.792784225941 1.00243079662 saving model
12 0.767966461182 0.999210178852 saving model
13 0.744690167904 0.997126579285 saving model
14 0.711750161648 1.01461279392
15 0.693255341053 1.01295137405
16 0.682238996029 0.997719526291
17 0.665383732319 1.00026774406
18 0.633328664303 0.975934445858 saving model
19 0.642535471916 0.999455213547
20 0.641438424587 0.980986595154
21 0.691427624226 1.01598989964
22 0.724752390385 0.979370653629
23 0.643815672398 0.970490515232 saving model
24 0.588507163525 1.00791680813
25 0.612477707863 0.999134898186
26 0.545127010345 0.983111262321
27 0.521501088142 0.979725122452
28 0.522791039944 0.982848525047
29 0.51554043293 0.98454195261
30 0.495756065845 0.992862045765
31 0.51105850935 1.03014421463
32 0.51710010767 1.03538632393
33 0.511216288805 1.00505590439
34 0.477647423744 0.984868466854
35 0.438815701008 0.999849259853
36 0.437225329876 1.00391948223
37 0.434286576509 0.988332927227
38 0.42864023447 1.01388323307
39 0.445204555988 0.990713179111
40 0.412825733423 1.00428724289
41 0.388996374607 0.998058199883
42 0.384331470728 0.977659285069
43 0.37930791378 0.983700275421
44 0.370183312893 0.993719041348
45 0.366746729612 1.00212955475
46 0.35116174221 1.00376594067
47 0.355249655247 0.99996817112
48 0.329188376665 1.00286877155
49 0.34558249712 0.987494111061
model number is: 58997
mae:  1.04030394985
corr:  0.637303705598
mult_acc:  0.32653
mult f_score:  0.36308
Confusion Matrix :
[[286  93]
 [ 81 226]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77929   0.75462   0.76676       379
        True    0.70846   0.73616   0.72204       307

   micro avg    0.74636   0.74636   0.74636       686
   macro avg    0.74388   0.74539   0.74440       686
weighted avg    0.74759   0.74636   0.74675       686

Accuracy  0.746355685131
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [128, 8, 48], 'momentum': 0.6}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.2}, {'shapes': 32, 'drop': 0.5}]
0 1.31684772968 1.39643585682 saving model
1 1.27800079584 1.32607734203 saving model
2 1.14123086929 1.15827929974 saving model
3 1.08201547861 1.16430234909
4 1.02067373395 1.11328828335 saving model
5 0.942471718788 1.05708062649 saving model
6 0.895474779606 1.03344655037 saving model
7 0.859544157982 1.0150333643 saving model
8 0.829851180315 1.01338100433 saving model
9 0.801441407204 0.99793022871 saving model
10 0.792144101858 1.00672376156
11 0.725245147943 1.01098608971
12 0.722129416466 0.996032595634 saving model
13 0.712365365028 1.01995480061
14 0.682018500566 0.994004547596 saving model
15 0.667335247993 0.986885249615 saving model
16 0.631453686953 1.01321148872
17 0.614029204845 1.00782954693
18 0.609670472145 1.00942337513
19 0.604044127464 1.00195622444
20 0.603611916304 1.02292573452
21 0.591496282816 0.974680423737 saving model
22 0.581702411175 1.01587331295
23 0.564030563831 1.00828278065
24 0.54139534831 1.02456080914
25 0.534915521741 1.02063298225
26 0.549600225687 1.03068685532
27 0.551169621944 1.01656734943
28 0.593606349826 1.0962061882
29 0.657018142939 0.990572392941
30 0.561794534326 1.01791203022
31 0.493114596605 0.99632024765
32 0.484514826536 0.979393899441
33 0.471450310946 0.99792855978
34 0.445643872023 1.00033700466
35 0.456559604406 1.00790297985
36 0.44072932899 1.00515055656
37 0.424964410067 1.00284087658
38 0.409148728848 1.0066344738
39 0.421114787459 1.01902520657
40 0.431808170676 1.02531445026
41 0.441947987676 1.02312576771
42 0.45048841536 1.02127873898
43 0.449159914255 1.04415285587
44 0.441112646461 1.00407934189
45 0.425926679373 1.00825989246
46 0.418613520265 1.01508653164
47 0.419092303514 1.00264155865
48 0.394788649678 1.01025521755
49 0.399011990428 1.02357411385
model number is: 48272
mae:  1.04802029548
corr:  0.616794253339
mult_acc:  0.3105
mult f_score:  0.33341
Confusion Matrix :
[[277 102]
 [ 78 229]]
Classification Report :
              precision    recall  f1-score   support

       False    0.78028   0.73087   0.75477       379
        True    0.69184   0.74593   0.71787       307

   micro avg    0.73761   0.73761   0.73761       686
   macro avg    0.73606   0.73840   0.73632       686
weighted avg    0.74070   0.73761   0.73825       686

Accuracy  0.737609329446
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 400, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [156, 64, 8], 'momentum': 0.6}, {'shapes': 64, 'drop': 0.2}, {'shapes': 64, 'drop': 0.5}, {'shapes': 128, 'drop': 0.7}, {'shapes': 256, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}]
0 1.35945367813 1.34153938293 saving model
1 1.40518698692 1.39284670353
2 1.21938514709 1.33638429642 saving model
3 1.16884977818 1.20011734962 saving model
4 1.0294467926 1.10432159901 saving model
5 0.937417638302 1.14425218105
6 0.874569940567 1.05145692825 saving model
7 0.775100243092 1.00928151608 saving model
8 0.701213216782 0.965456187725 saving model
9 0.633958613873 0.988470375538
10 0.651495909691 0.950020611286 saving model
11 0.597241675854 0.962780892849
12 0.553435862064 0.939949691296 saving model
13 0.479341179132 0.958506345749
14 0.459718334675 0.932350933552 saving model
15 0.439895772934 0.961587965488
16 0.448392283916 0.94510614872
17 0.395999205112 0.940090179443
18 0.373636937141 0.941773176193
19 0.347623711824 0.942724943161
20 0.300588667393 0.944973349571
21 0.287040394545 0.932449936867
22 0.277297973633 0.979555487633
23 0.295348751545 0.9666929245
24 0.269124150276 0.970358073711
25 0.272258359194 0.955454170704
26 0.229506745934 0.933810412884
27 0.201370209455 0.934184372425
28 0.211847749352 0.948359787464
29 0.222832891345 0.955376386642
30 0.203940057755 0.943853676319
31 0.174336951971 0.95651525259
32 0.199541172385 0.936825037003
33 0.179013505578 0.954672038555
34 0.194368672371 0.960090756416
35 0.187909156084 0.942304074764
36 0.162690621614 0.94386523962
37 0.136500667036 0.947143673897
38 0.12675781399 0.957711338997
39 0.1349396348 0.943801999092
40 0.153271320462 0.941297411919
41 0.15246296525 0.960040211678
42 0.122182109952 0.960173368454
43 0.12771371305 0.944050192833
44 0.126051722467 0.941376686096
45 0.130762679875 0.962030947208
46 0.138440269232 0.954880774021
47 0.130135682225 0.974879860878
48 0.180634427071 0.939703941345
49 0.133185347915 0.949456632137
model number is: 90767
mae:  1.06007809097
corr:  0.587959699073
mult_acc:  0.29155
mult f_score:  0.3088
Confusion Matrix :
[[260 119]
 [ 88 219]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74713   0.68602   0.71527       379
        True    0.64793   0.71336   0.67907       307

   micro avg    0.69825   0.69825   0.69825       686
   macro avg    0.69753   0.69969   0.69717       686
weighted avg    0.70273   0.69825   0.69907       686

Accuracy  0.698250728863
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 128, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [256, 32, 48], 'momentum': 0.3}, {'shapes': 128, 'drop': 0.5}, {'shapes': 256, 'drop': 0.7}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.0}]
0 1.35801408291 1.39774441719 saving model
1 1.24552154541 1.519769907
2 1.16055402756 1.24643170834 saving model
3 1.05320930481 1.1568467617 saving model
4 0.920399487019 1.10438299179 saving model
5 0.844177401066 1.03979432583 saving model
6 0.744210636616 0.998940289021 saving model
7 0.693616616726 1.04389441013
8 0.699652409554 1.03373467922
9 0.673163723946 1.03422892094
10 0.56812646389 0.981872558594 saving model
11 0.480547308922 0.962592899799 saving model
12 0.436308133602 0.965939044952
13 0.422781193256 0.983949363232
14 0.428266859055 1.06539261341
15 0.528738415241 1.0204461813
16 0.426690798998 1.05738067627
17 0.368131142855 1.02906513214
18 0.325864738226 1.02521789074
19 0.32278060317 0.990016460419
20 0.298221582174 0.99194008112
21 0.300490924716 0.997700929642
22 0.267613208294 1.03075563908
23 0.304038122296 1.00374412537
24 0.257960766554 1.02189731598
25 0.23955757618 1.00968885422
26 0.214826896787 1.01066398621
27 0.217345997691 1.00383043289
28 0.211471158266 1.01931238174
29 0.215643793344 1.00808036327
30 0.211430934072 1.00804579258
31 0.18543651402 1.01075959206
32 0.188829797506 1.01541745663
33 0.182502987981 1.00234735012
34 0.178688126802 1.00272393227
35 0.16510694921 1.02159631252
36 0.175598822534 1.01059687138
37 0.146573203802 1.00959050655
38 0.171289294958 1.01223349571
39 0.15501459837 1.00485384464
40 0.156606268883 1.01087963581
41 0.128825849295 1.01696944237
42 0.144008645415 0.997706055641
43 0.139165730774 1.0127106905
44 0.14508330822 1.03146827221
45 0.147983810306 1.0081192255
46 0.145318719745 0.993293344975
47 0.130341349542 1.00575888157
48 0.111345526576 1.01810896397
49 0.11989082098 1.00310087204
model number is: 29320
mae:  1.036612094
corr:  0.589904683541
mult_acc:  0.30758
mult f_score:  0.31854
Confusion Matrix :
[[298  81]
 [109 198]]
Classification Report :
              precision    recall  f1-score   support

       False    0.73219   0.78628   0.75827       379
        True    0.70968   0.64495   0.67577       307

   micro avg    0.72303   0.72303   0.72303       686
   macro avg    0.72093   0.71562   0.71702       686
weighted avg    0.72211   0.72303   0.72135       686

Accuracy  0.723032069971
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [128, 32, 8], 'momentum': 0.1}, {'shapes': 128, 'drop': 0.2}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.0}]
0 1.28052772284 1.30719530582 saving model
1 1.02082058191 1.12075901031 saving model
2 0.879164266586 1.04913365841 saving model
3 0.808379417658 0.964259207249 saving model
4 0.666481375694 0.946972489357 saving model
5 0.556088769436 0.936765789986 saving model
6 0.495768326521 0.949496805668
7 0.483712443709 0.928765833378 saving model
8 0.453940927982 0.983087003231
9 0.457897222042 1.04363453388
10 0.478936755657 0.923767864704 saving model
11 0.437512975931 0.933992862701
12 0.419417962432 0.924159884453
13 0.389195349813 0.987907707691
14 0.356020611525 0.986258029938
15 0.486968192458 1.10202348232
16 0.516138389707 1.02738451958
17 0.404874372482 0.919684886932 saving model
18 0.255486501753 0.933159589767
19 0.260629063845 0.916975021362 saving model
20 0.255265490711 0.962678611279
21 0.334488430619 1.06102287769
22 0.40848916173 0.990001022816
23 0.329850414395 0.973834514618
24 0.247708335519 0.992884516716
25 0.308410951495 0.991363406181
26 0.295821598172 0.931791484356
27 0.226544809341 0.947690188885
28 0.228880091012 0.938220798969
29 0.24074369818 0.979743242264
30 0.270655651391 0.947959721088
31 0.22140764147 0.94559109211
32 0.215560993552 0.930463790894
33 0.25837674737 0.961703121662
34 0.217939898372 0.977274060249
35 0.217186039686 0.934509515762
36 0.176327945292 0.917267858982
37 0.212154993415 0.915321469307 saving model
38 0.182106851786 0.96441257
39 0.177225866914 0.943546950817
40 0.157933088392 0.914629340172 saving model
41 0.144460279495 0.909610390663 saving model
42 0.212786212564 0.950535178185
43 0.179818498343 0.936147153378
44 0.153244246542 0.932793319225
45 0.139642576873 0.906001746655 saving model
46 0.163852886856 0.917958021164
47 0.194076070189 0.952496945858
48 0.17280896157 0.928338170052
49 0.163078941405 0.929007828236
model number is: 78052
mae:  1.03526701862
corr:  0.587033373675
mult_acc:  0.33819
mult f_score:  0.34545
Confusion Matrix :
[[286  93]
 [ 93 214]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75462   0.75462   0.75462       379
        True    0.69707   0.69707   0.69707       307

   micro avg    0.72886   0.72886   0.72886       686
   macro avg    0.72584   0.72584   0.72584       686
weighted avg    0.72886   0.72886   0.72886       686

Accuracy  0.728862973761
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 64, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [64, 64, 80], 'momentum': 0.3}, {'shapes': 32, 'drop': 0.7}, {'shapes': 128, 'drop': 0.2}, {'shapes': 256, 'drop': 0.2}, {'shapes': 32, 'drop': 0.5}, {'shapes': 64, 'drop': 0.5}]
0 1.23142288178 1.15832984447 saving model
1 0.982826048136 1.04289281368 saving model
2 0.860747346282 1.00415766239 saving model
3 0.770097774267 0.978668570518 saving model
4 0.673458039761 0.988905191422
5 0.630816216767 1.00176310539
6 0.61225899756 0.969750165939 saving model
7 0.553949671239 1.02053284645
8 0.53270919621 1.01403737068
9 0.526360338926 1.04498851299
10 0.529829156399 1.08496975899
11 0.558252520859 1.12123095989
12 0.531069663167 1.14631009102
13 0.529400409758 1.07611620426
14 0.502883577347 0.951812505722 saving model
15 0.484984829277 0.997681796551
16 0.45994938761 0.98791795969
17 0.438473974168 0.994583189487
18 0.433164674044 1.02617371082
19 0.422037607431 1.03767836094
20 0.419864266366 1.02077353001
21 0.439160621911 1.08569896221
22 0.461366905272 0.978706598282
23 0.491262418032 0.970892846584
24 0.499293490499 1.02315747738
25 0.478694241494 1.0461410284
26 0.423479929566 1.04182648659
27 0.394134834409 1.0017529726
28 0.365986166894 0.970707535744
29 0.365539416671 1.01225197315
30 0.371466135234 1.00136506557
31 0.343397021294 1.01555538177
32 0.370897642523 0.997531235218
33 0.360890161991 1.01675820351
34 0.351060282812 1.02049648762
35 0.354125855118 1.03095877171
36 0.348828325421 0.995058953762
37 0.345199960843 0.966804921627
38 0.364170201868 0.986612379551
39 0.345862524211 0.99279654026
40 0.364572942257 1.00216007233
41 0.34199353233 1.05389785767
42 0.374608325958 1.01840555668
43 0.357106915116 1.03263092041
44 0.371902909875 1.01116251945
45 0.341568009183 1.03916919231
46 0.350390815735 1.01366984844
47 0.346904551983 1.02893507481
48 0.378939276189 1.03709232807
49 0.348288976401 1.01581144333
model number is: 66036
mae:  1.06231592134
corr:  0.582204672734
mult_acc:  0.29155
mult f_score:  0.31609
Confusion Matrix :
[[275 104]
 [ 92 215]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74932   0.72559   0.73727       379
        True    0.67398   0.70033   0.68690       307

   micro avg    0.71429   0.71429   0.71429       686
   macro avg    0.71165   0.71296   0.71208       686
weighted avg    0.71560   0.71429   0.71473       686

Accuracy  0.714285714286
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 64, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [64, 8, 64], 'momentum': 0.9}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}]
0 1.26710448265 1.1873986721 saving model
1 0.977332335711 1.07534790039 saving model
2 0.868377569318 1.03766870499 saving model
3 0.791861003637 1.01840519905 saving model
4 0.762881317735 1.01428377628 saving model
5 0.742489106953 1.077231884
6 0.679623012245 1.01865935326
7 0.624596131593 1.0097784996 saving model
8 0.598664619774 0.994161784649 saving model
9 0.577282004058 1.01717531681
10 0.547483017296 1.02334976196
11 0.500618903339 1.02911651134
12 0.441690701991 0.989231944084 saving model
13 0.43525659591 0.971062481403 saving model
14 0.427118209004 1.00377833843
15 0.401170244068 1.0007443428
16 0.377506920323 1.03244030476
17 0.379840628803 1.0074390173
18 0.343138533086 1.02022480965
19 0.310761448368 1.02470254898
20 0.292860519513 1.02790188789
21 0.32308200486 1.0042232275
22 0.335194792971 0.990581929684
23 0.305606779829 0.992767214775
24 0.292755967379 1.01418948174
25 0.27744856663 1.00986099243
26 0.243027510494 1.01293456554
27 0.276556758955 1.00134599209
28 0.306283287704 1.04733729362
29 0.321909833327 1.0372133255
30 0.345252594352 1.01189804077
31 0.281863043457 1.03356730938
32 0.23292638436 1.03782129288
33 0.229328776523 1.04113399982
34 0.251459925994 1.04432356358
35 0.229088237882 1.03567123413
36 0.251345688477 1.01802706718
37 0.270778856799 1.02346408367
38 0.238312968984 1.03687548637
39 0.235333622992 1.02676188946
40 0.220778135583 1.02983045578
41 0.196143956482 1.03524637222
42 0.20104845725 1.03771090508
43 0.221255352721 1.05195116997
44 0.217563695461 1.02238571644
45 0.230944444612 1.0427955389
46 0.219515667483 1.03459656239
47 0.210703407601 1.02191925049
48 0.188620309904 1.01999008656
49 0.176119054481 1.03104686737
model number is: 99436
mae:  1.03090394401
corr:  0.596739361591
mult_acc:  0.30321
mult f_score:  0.31576
Confusion Matrix :
[[278 101]
 [ 88 219]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75956   0.73351   0.74631       379
        True    0.68437   0.71336   0.69856       307

   micro avg    0.72449   0.72449   0.72449       686
   macro avg    0.72197   0.72343   0.72244       686
weighted avg    0.72591   0.72449   0.72494       686

Accuracy  0.724489795918
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 300, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [88, 16, 32], 'momentum': 0.3}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}, {'shapes': 32, 'drop': 0.7}]
0 1.32229990959 1.39170718193 saving model
1 1.29495463371 1.37096130848 saving model
2 1.20664577484 1.19223058224 saving model
3 1.13433206081 1.11890554428 saving model
4 1.07819764614 1.13611555099
5 1.03263981342 1.11840999126 saving model
6 0.961383759975 1.02372181416 saving model
7 0.941758906841 1.05485284328
8 0.894752502441 0.978708565235 saving model
9 0.82877099514 1.03311359882
10 0.82587710619 0.993728280067
11 0.7822676301 0.978680789471 saving model
12 0.759667515755 1.00627231598
13 0.701701426506 0.980245411396
14 0.687460446358 0.973197698593 saving model
15 0.663006031513 0.998418748379
16 0.66425948143 0.96930372715 saving model
17 0.626353335381 0.968186616898 saving model
18 0.631749475002 0.934939563274 saving model
19 0.60741506815 0.975259184837
20 0.596336245537 0.96643692255
21 0.582828140259 0.964094460011
22 0.553891932964 0.955839037895
23 0.558854758739 0.963173508644
24 0.549585485458 0.97495675087
25 0.517746400833 0.963002681732
26 0.538409245014 0.953673124313
27 0.523100244999 0.971224844456
28 0.516300624609 0.966930031776
29 0.514685380459 0.987882733345
30 0.529439520836 0.978171050549
31 0.507505106926 0.983728826046
32 0.50248042345 0.959863603115
33 0.522842788696 0.959433317184
34 0.49410020113 0.974270761013
35 0.49009167552 0.960845947266
36 0.510049170256 0.966511368752
37 0.487788814306 0.981494486332
38 0.473655241728 0.984783828259
39 0.478928506374 0.977447092533
40 0.45764131546 0.975105762482
41 0.463179755211 0.950893461704
42 0.440118759871 0.937807321548
43 0.462803673744 0.963934004307
44 0.443545973301 0.958094716072
45 0.453058284521 0.979287385941
46 0.456224238873 0.967158138752
47 0.462321162224 0.972515940666
48 0.474037653208 0.981014549732
49 0.474843144417 0.970525026321
model number is: 29042
mae:  1.03769539103
corr:  0.602245838391
mult_acc:  0.31633
mult f_score:  0.33459
Confusion Matrix :
[[283  96]
 [ 84 223]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77112   0.74670   0.75871       379
        True    0.69906   0.72638   0.71246       307

   micro avg    0.73761   0.73761   0.73761       686
   macro avg    0.73509   0.73654   0.73559       686
weighted avg    0.73887   0.73761   0.73801       686

Accuracy  0.737609329446
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 64, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [256, 32, 64], 'momentum': 0.6}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.2}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.0}]
0 1.21807314306 1.13750207424 saving model
1 0.969910806417 1.05401015282 saving model
2 0.815105354786 0.990852952003 saving model
3 0.730922360718 1.04727053642
4 0.694039029628 1.04637622833
5 0.663315838575 1.03524506092
6 0.618046112359 1.08919560909
7 0.589731095731 1.03828108311
8 0.537738111615 1.07367777824
9 0.539033441246 0.985962450504 saving model
10 0.506705871224 1.05608916283
11 0.465842475742 1.0499162674
12 0.419640383869 1.06605410576
13 0.433489421755 1.04383182526
14 0.431259972602 0.995157182217
15 0.379816655815 0.998450279236
16 0.349111656845 1.00010597706
17 0.36354807429 0.963831603527 saving model
18 0.32530939877 0.974274396896
19 0.302845714986 1.01298046112
20 0.335795071721 0.969286799431
21 0.351096875221 0.976920068264
22 0.260617908463 0.990397334099
23 0.277228365093 0.988146781921
24 0.254762338847 0.977494835854
25 0.276925330609 0.945358991623 saving model
26 0.281844080985 0.972389042377
27 0.208655406907 0.971034288406
28 0.200615687296 0.965261936188
29 0.236699610204 0.98199903965
30 0.275239645317 0.999502301216
31 0.219620179385 0.966926515102
32 0.18944789283 0.98430198431
33 0.196751505509 0.973784685135
34 0.221457945183 0.949752748013
35 0.218291817605 0.976457834244
36 0.187888341956 0.975436806679
37 0.15957684461 0.974553644657
38 0.195540342107 0.965541005135
39 0.165884792246 0.962358295918
40 0.17909131404 0.981010079384
41 0.234548715129 0.977488517761
42 0.224021520093 0.9961181283
43 0.165409809537 0.981912910938
44 0.183747811057 0.988404393196
45 0.195770424232 0.951543688774
46 0.206983692385 0.979097306728
47 0.168549417146 0.987876415253
48 0.145706697926 1.00608158112
49 0.164786596224 0.932078123093 saving model
model number is: 67687
mae:  1.07880947072
corr:  0.577939886755
mult_acc:  0.30466
mult f_score:  0.32019
Confusion Matrix :
[[269 110]
 [ 82 225]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76638   0.70976   0.73699       379
        True    0.67164   0.73290   0.70093       307

   micro avg    0.72012   0.72012   0.72012       686
   macro avg    0.71901   0.72133   0.71896       686
weighted avg    0.72398   0.72012   0.72085       686

Accuracy  0.720116618076
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 400, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [64, 16, 32], 'momentum': 0.3}, {'shapes': 32, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}]
0 1.29883728325 1.28125691414 saving model
1 1.00591988266 1.08773112297 saving model
2 0.852892298996 1.03569340706 saving model
3 0.777027499676 1.03877604008
4 0.716420988739 1.03983104229
5 0.69342430681 1.02973842621 saving model
6 0.678826552629 1.0500125885
7 0.608036606014 1.04129612446
8 0.575393135101 1.04303526878
9 0.595156636834 1.03056383133
10 0.634003546089 1.04011750221
11 0.535593988746 1.03062188625
12 0.521975629777 1.05628371239
13 0.5613656573 1.12072217464
14 0.63422274664 1.06810736656
15 0.527659981698 1.0215767622 saving model
16 0.454474237561 1.01242768764 saving model
17 0.390891566128 0.994014918804 saving model
18 0.353946830332 0.984148204327 saving model
19 0.329101207852 0.993140339851
20 0.307189180329 0.993917286396
21 0.281828511879 0.982887744904 saving model
22 0.305943019688 0.987750351429
23 0.27544137463 1.02018928528
24 0.27506666407 1.03261339664
25 0.286999668553 1.03032636642
26 0.313708832115 1.03048074245
27 0.321008146554 1.04215276241
28 0.350125712901 1.09440910816
29 0.354116554186 1.03143525124
30 0.275437024236 1.01511907578
31 0.234673530236 1.0092843771
32 0.227282283083 1.01646220684
33 0.231039013714 1.02319777012
34 0.241834730282 1.00529849529
35 0.277793724462 1.02738034725
36 0.258792807534 1.01279914379
37 0.237286262587 0.996185541153
38 0.212248973921 0.984592378139
39 0.207089484297 0.995987951756
40 0.204699569568 0.992023825645
41 0.20715800263 0.987570285797
42 0.201054974645 1.00087714195
43 0.22044669427 1.01209485531
44 0.236152187362 1.00610399246
45 0.258743211254 0.998980939388
46 0.277588269487 1.00097084045
47 0.26058259625 0.981577575207 saving model
48 0.237000714242 0.989981889725
49 0.232681262493 1.00095188618
model number is: 45437
mae:  1.08353019601
corr:  0.569697172471
mult_acc:  0.30466
mult f_score:  0.30799
Confusion Matrix :
[[293  86]
 [102 205]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74177   0.77309   0.75711       379
        True    0.70447   0.66775   0.68562       307

   micro avg    0.72595   0.72595   0.72595       686
   macro avg    0.72312   0.72042   0.72136       686
weighted avg    0.72508   0.72595   0.72511       686

Accuracy  0.725947521866
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 300, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [32, 48, 48], 'momentum': 0.9}, {'shapes': 32, 'drop': 0.7}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.7}]
0 1.30717456341 1.30984961987 saving model
1 1.09656125754 1.0832515955 saving model
2 0.984484146535 1.08259236813 saving model
3 0.91735368371 1.03078877926 saving model
4 0.832534313202 1.05458438396
5 0.795331482589 1.00966918468 saving model
6 0.760984276235 0.964624404907 saving model
7 0.744157104194 0.978967130184
8 0.718820272386 1.04954791069
9 0.683726598322 1.05690395832
10 0.695975074917 1.02866292
11 0.670396675915 0.967618584633
12 0.644505304843 1.01083600521
13 0.612749870121 0.984130740166
14 0.587552534044 0.969200968742
15 0.589689236879 0.956155121326 saving model
16 0.587159662694 0.979716598988
17 0.591913115978 0.950296580791 saving model
18 0.574894160032 0.982730090618
19 0.54386760965 0.988022565842
20 0.564703255147 0.985737919807
21 0.547097598761 0.944258093834 saving model
22 0.548535437882 0.972649633884
23 0.532935942709 1.00229144096
24 0.552296103537 0.978211402893
25 0.53817820549 0.990867912769
26 0.547966962308 1.02064049244
27 0.540312194824 0.983907401562
28 0.537865819037 0.999946296215
29 0.523687232286 1.02512097359
30 0.535939133912 1.00211763382
31 0.513593348116 0.976188182831
32 0.515233129263 0.984490871429
33 0.532091701776 1.00855326653
34 0.507875679433 1.02886259556
35 0.519169370085 1.00410330296
36 0.51920190677 1.00533640385
37 0.51251777038 0.997809410095
38 0.523532016575 0.982407152653
39 0.503826465458 1.01233792305
40 0.506772771478 1.00615024567
41 0.509055677801 0.982934117317
42 0.493129497766 0.995225906372
43 0.494403127581 1.02367436886
44 0.49000685215 1.01405656338
45 0.493439229578 1.02900767326
46 0.46450252533 1.01572668552
47 0.489127360284 1.00561821461
48 0.492186898738 1.03264474869
49 0.494422663748 1.0150308609
model number is: 58507
mae:  1.08443997402
corr:  0.584591104638
mult_acc:  0.28426
mult f_score:  0.30101
Confusion Matrix :
[[249 130]
 [ 64 243]]
Classification Report :
              precision    recall  f1-score   support

       False    0.79553   0.65699   0.71965       379
        True    0.65147   0.79153   0.71471       307

   micro avg    0.71720   0.71720   0.71720       686
   macro avg    0.72350   0.72426   0.71718       686
weighted avg    0.73106   0.71720   0.71744       686

Accuracy  0.717201166181
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 128, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [32, 80, 16], 'momentum': 0.3}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.2}, {'shapes': 64, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}]
0 1.3184517622 1.40885984898 saving model
1 1.25029125214 1.25096428394 saving model
2 1.05130162239 1.14661538601 saving model
3 0.927811527252 1.11356341839 saving model
4 0.830003118515 1.07663011551 saving model
5 0.792194926739 1.034709692 saving model
6 0.747867882252 1.05283248425
7 0.749526917934 1.00433385372 saving model
8 0.701483571529 1.00294280052 saving model
9 0.615852117538 1.00050508976 saving model
10 0.601779556274 0.99266898632 saving model
11 0.554359471798 1.00308036804
12 0.498413783312 0.969998538494 saving model
13 0.458363115788 0.948060810566 saving model
14 0.445292711258 0.970907866955
15 0.458828175068 0.978842794895
16 0.441389709711 1.01502859592
17 0.443083167076 0.978569865227
18 0.390050309896 0.954816401005
19 0.371098196507 0.965999960899
20 0.337143838406 0.97164863348
21 0.332284152508 0.961707413197
22 0.311439865828 0.984057962894
23 0.314664703608 0.985361039639
24 0.290393424034 0.982582330704
25 0.283188217878 0.961788952351
26 0.260731545091 0.930609941483 saving model
27 0.277332574129 0.979466855526
28 0.29090860188 0.974210858345
29 0.27791249156 0.972901880741
30 0.312592172623 0.940671980381
31 0.267443984747 0.920584738255 saving model
32 0.256001704931 0.948539376259
33 0.239612740278 0.951380968094
34 0.250645211339 0.924268424511
35 0.238891753554 0.953508794308
36 0.252589663863 0.946903824806
37 0.236552900076 0.948105573654
38 0.226639309525 0.957388281822
39 0.220310416818 0.937392294407
40 0.230135762691 0.962718069553
41 0.213393729925 0.968443930149
42 0.225819602609 0.935657262802
43 0.219349986315 0.954028844833
44 0.239109870791 0.9317035079
45 0.214020004869 0.960444629192
46 0.219780597091 0.949843108654
47 0.203131473064 0.934271156788
48 0.203085049987 0.946272492409
49 0.210289901495 0.950253009796
model number is: 44042
mae:  1.02752063534
corr:  0.589294061262
mult_acc:  0.30029
mult f_score:  0.31247
Confusion Matrix :
[[296  83]
 [101 206]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74559   0.78100   0.76289       379
        True    0.71280   0.67101   0.69128       307

   micro avg    0.73178   0.73178   0.73178       686
   macro avg    0.72920   0.72601   0.72708       686
weighted avg    0.73092   0.73178   0.73084       686

Accuracy  0.731778425656
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 64, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [156, 32, 48], 'momentum': 0.1}, {'shapes': 128, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}, {'shapes': 128, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.5}]
0 1.23748646975 1.1559472084 saving model
1 1.05446837544 1.19497454166
2 0.936729675531 1.05079340935 saving model
3 0.829180783033 1.00145363808 saving model
4 0.750434279442 0.968625187874 saving model
5 0.673100250959 0.940504312515 saving model
6 0.658603560925 0.960380613804
7 0.620340162516 1.06992721558
8 0.622280603647 0.980079352856
9 0.632764708996 0.967807114124
10 0.615130072832 1.05637943745
11 0.568855458498 0.995703339577
12 0.596666747332 0.96788495779
13 0.584688672423 0.9636708498
14 0.553182685375 0.921768844128 saving model
15 0.439715269208 0.936452567577
16 0.401254960895 0.9068338871 saving model
17 0.390628123283 0.963015437126
18 0.399341392517 0.944699883461
19 0.406684234738 0.965682506561
20 0.374584463239 0.980798006058
21 0.385325556993 0.968136966228
22 0.412489551306 0.941147983074
23 0.388478267193 0.988719582558
24 0.404364469647 0.946079909801
25 0.347576984763 0.956097304821
26 0.35655991137 0.940014481544
27 0.326927745342 0.957848846912
28 0.323492196202 0.940217137337
29 0.323905655742 0.983620584011
30 0.285215008259 0.948648869991
31 0.280293089151 0.949104249477
32 0.294434326887 0.934464871883
33 0.267357443273 0.93080997467
34 0.281362915039 0.934501171112
35 0.270862559974 0.948712170124
36 0.267509315908 0.942230045795
37 0.269163808227 0.938130140305
38 0.254902437329 0.957089006901
39 0.251554444432 0.956964433193
40 0.274326741695 0.933718085289
41 0.28210915029 0.931706666946
42 0.270902657509 0.92730730772
43 0.263952375948 0.939308643341
44 0.24494382143 0.932894527912
45 0.238299803436 0.943245410919
46 0.242991371453 0.94733351469
47 0.245733435452 0.939657270908
48 0.251221497357 0.925886154175
49 0.243294718862 0.925060272217
model number is: 71737
mae:  1.06084603611
corr:  0.585326398174
mult_acc:  0.32799
mult f_score:  0.32993
Confusion Matrix :
[[273 106]
 [ 90 217]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75207   0.72032   0.73585       379
        True    0.67183   0.70684   0.68889       307

   micro avg    0.71429   0.71429   0.71429       686
   macro avg    0.71195   0.71358   0.71237       686
weighted avg    0.71616   0.71429   0.71483       686

Accuracy  0.714285714286
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 300, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [128, 8, 16], 'momentum': 0.8}, {'shapes': 128, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}, {'shapes': 256, 'drop': 0.0}]
0 1.30062910318 1.28482925892 saving model
1 1.08318526745 1.10973107815 saving model
2 0.96099447608 1.10543739796 saving model
3 0.866360324621 1.03653669357 saving model
4 0.789471775293 1.00582754612 saving model
5 0.735795080662 1.03824937344
6 0.691896998882 0.980717420578 saving model
7 0.649131160975 0.980648815632 saving model
8 0.633060896397 1.00643193722
9 0.553354805708 0.969789743423 saving model
10 0.508882451057 0.982867956161
11 0.524202391505 1.03472924232
12 0.496136236191 1.00705182552
13 0.460575816035 1.00097250938
14 0.44582490325 0.981935977936
15 0.413263911009 0.960354268551 saving model
16 0.382479166985 0.987588703632
17 0.400991138816 0.966605961323
18 0.380571550131 1.07361757755
19 0.466316068172 1.02332448959
20 0.405283924937 1.08390569687
21 0.561169359088 1.11048018932
22 0.571534407139 1.02761030197
23 0.447040235996 1.05788612366
24 0.387096002698 1.00889503956
25 0.313024175167 1.02395427227
26 0.297245167196 0.95675098896 saving model
27 0.267724241316 0.981654524803
28 0.297494675219 1.01480293274
29 0.397272402048 1.01675057411
30 0.349909831583 1.02486634254
31 0.253279477358 0.982115387917
32 0.227698373795 0.984707117081
33 0.242298592627 0.989628612995
34 0.319798201323 1.00981736183
35 0.292337581515 1.02235090733
36 0.225522460043 0.985730588436
37 0.222304558754 0.971970260143
38 0.237810602784 0.96250128746
39 0.246304787695 1.01181459427
40 0.248615889251 1.0010676384
41 0.192072625458 0.974726259708
42 0.169322712719 0.96031409502
43 0.169479554892 0.97356647253
44 0.223596727848 1.01249158382
45 0.265429982543 1.01088190079
46 0.192814071476 0.97032558918
47 0.149365340918 0.97223007679
48 0.173095010966 1.00054728985
49 0.220675955713 1.01446187496
model number is: 19124
mae:  1.06801846827
corr:  0.581674724958
mult_acc:  0.3105
mult f_score:  0.3248
Confusion Matrix :
[[275 104]
 [ 88 219]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75758   0.72559   0.74124       379
        True    0.67802   0.71336   0.69524       307

   micro avg    0.72012   0.72012   0.72012       686
   macro avg    0.71780   0.71947   0.71824       686
weighted avg    0.72197   0.72012   0.72065       686

Accuracy  0.720116618076
/usr/local/lib/python2.7/dist-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.
  'precision', 'predicted', average, warn_for)
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [256, 48, 80], 'momentum': 0.8}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.5}, {'shapes': 128, 'drop': 0.7}]
0 1.75782186985 1.28662693501 saving model
1 1.27559635639 1.39464855194
2 1.22347593307 1.25488352776 saving model
3 1.10504164696 1.16150999069 saving model
4 0.978966248035 1.10325038433 saving model
5 0.910564613342 1.11194896698
6 0.879712152481 1.02428936958 saving model
7 0.801117551327 1.04949295521
8 0.771097970009 0.995896339417 saving model
9 0.712914001942 1.00228202343
10 0.652304387093 0.984290897846 saving model
11 0.622791564465 0.986245155334
12 0.587208163738 0.984111607075 saving model
13 0.545693933964 0.946558654308 saving model
14 0.521582984924 0.948363721371
15 0.478064596653 0.943410217762 saving model
16 0.460520136356 0.9291203022 saving model
17 0.451820600033 0.952473342419
18 0.46172247529 0.9585313797
19 0.460463196039 0.97813731432
20 0.47617534399 0.943127214909
21 0.458127659559 0.95580470562
22 0.448364436626 0.960324704647
23 0.42352398634 0.945997357368
24 0.384302818775 0.937272369862
25 0.374615055323 0.930486142635
26 0.365236830711 0.958969712257
27 0.369821202755 0.916587352753 saving model
28 0.360540395975 0.904912948608 saving model
29 0.369024753571 0.926266610622
30 0.365639930964 0.926201581955
31 0.351548719406 0.928647041321
32 0.330745476484 0.924087524414
33 0.331821852922 0.922256886959
34 0.335942095518 0.922894060612
35 0.335918754339 0.910979568958
36 0.328964388371 0.910615563393
37 0.341875290871 0.901171445847 saving model
38 0.349046343565 0.93184709549
39 0.3319432199 0.885361731052 saving model
40 0.338270318508 0.904956161976
41 0.32655813694 0.923030853271
42 0.334602892399 0.890368580818
43 0.330652236938 0.935482859612
44 0.323072135448 0.893737673759
45 0.317097955942 0.891974806786
46 0.325132489204 0.90211468935
47 0.313606411219 0.875540733337 saving model
48 0.32206299305 0.923431277275
49 0.303121978045 0.886889874935
model number is: 3728
mae:  1.03580012435
corr:  0.591425977212
mult_acc:  0.29155
mult f_score:  0.2953
Confusion Matrix :
[[286  93]
 [ 85 222]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77089   0.75462   0.76267       379
        True    0.70476   0.72313   0.71383       307

   micro avg    0.74052   0.74052   0.74052       686
   macro avg    0.73783   0.73887   0.73825       686
weighted avg    0.74130   0.74052   0.74081       686

Accuracy  0.740524781341
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 300, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [88, 16, 16], 'momentum': 0.6}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}]
0 1.28569966406 1.18222773075 saving model
1 1.08981263638 1.05918323994 saving model
2 0.965250355005 1.02714705467 saving model
3 0.879791764915 1.01030397415 saving model
4 0.834956352413 1.00039708614 saving model
5 0.798256114125 1.00336563587
6 0.742281900346 1.01060116291
7 0.711764474213 1.01445758343
8 0.733660870045 1.02482748032
9 0.679666545987 1.00216662884
10 0.706509667635 1.01473999023
11 0.657272356749 1.02154433727
12 0.601372166723 0.972345352173 saving model
13 0.564554567635 0.952279150486 saving model
14 0.530681142956 0.98445391655
15 0.510390400887 0.977513551712
16 0.495141682029 0.982219874859
17 0.476428519934 1.01271915436
18 0.478481518477 0.984262168407
19 0.465942173451 0.983815193176
20 0.461812479794 0.967691361904
21 0.431841357797 1.0004658699
22 0.430912069976 0.987673103809
23 0.436067672819 0.99661552906
24 0.460909700394 1.01558971405
25 0.459442941844 0.983262658119
26 0.431765764952 1.00770747662
27 0.419646029174 0.98370718956
28 0.397870177031 0.989999175072
29 0.405032443255 0.976464807987
30 0.389012428373 0.980664908886
31 0.393199105561 0.957784593105
32 0.375811676681 0.97973126173
33 0.379150275141 0.963219285011
34 0.392848043516 0.990112781525
35 0.375673352182 0.986356258392
36 0.367879172415 0.971445739269
37 0.388102735579 0.971865236759
38 0.381391531974 0.96122688055
39 0.360320488364 0.973149299622
40 0.379127349705 0.97380310297
41 0.372667915374 0.961935460567
42 0.370397991687 0.951929092407 saving model
43 0.368285778165 0.951211452484 saving model
44 0.372418665141 0.986271739006
45 0.375754661113 0.987178206444
46 0.384255892038 0.967371404171
47 0.358367883414 0.977511942387
48 0.350890710205 0.963359355927
49 0.364126510173 0.976819574833
model number is: 16911
mae:  1.0276386127
corr:  0.617610034268
mult_acc:  0.31778
mult f_score:  0.32466
Confusion Matrix :
[[290  89]
 [ 86 221]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77128   0.76517   0.76821       379
        True    0.71290   0.71987   0.71637       307

   micro avg    0.74490   0.74490   0.74490       686
   macro avg    0.74209   0.74252   0.74229       686
weighted avg    0.74515   0.74490   0.74501       686

Accuracy  0.744897959184
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 300, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [32, 32, 8], 'momentum': 0.1}, {'shapes': 256, 'drop': 0.0}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.2}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.5}]
0 1.18961960226 1.23100805283 saving model
1 0.946704319119 1.22614645958 saving model
2 0.909216457605 1.13006067276 saving model
3 0.800373527408 1.03184247017 saving model
4 0.728656180948 1.0291800499 saving model
5 0.669070932269 1.01101136208 saving model
6 0.629833488911 1.06414473057
7 0.589612844586 1.04276549816
8 0.571069514751 1.01536035538
9 0.558292198181 1.03082799911
10 0.551453711092 1.02891409397
11 0.549154368788 1.00287401676 saving model
12 0.525759483129 0.994091868401 saving model
13 0.574123960733 1.03796887398
14 0.565193711221 1.05983996391
15 0.574470476806 1.01611816883
16 0.526082221419 1.04685819149
17 0.501299796253 1.05007338524
18 0.475185208768 1.02483725548
19 0.454374112934 1.07829213142
20 0.457198273391 1.07104086876
21 0.429296653718 1.02352368832
22 0.418411314487 1.0019119978
23 0.410986784846 0.997215986252
24 0.403258236498 1.0072581768
25 0.397464657575 0.979063928127 saving model
26 0.392730347067 1.00955677032
27 0.433840783313 1.04729247093
28 0.431055814028 1.02073383331
29 0.390988156945 0.989741027355
30 0.400672277808 0.955077886581 saving model
31 0.381095673889 0.998786628246
32 0.38885512948 0.960376739502
33 0.386924254149 0.996206760406
34 0.406088159978 1.03046989441
35 0.366427853703 1.02847158909
36 0.369570939243 1.01152265072
37 0.379221887141 0.998409092426
38 0.371256580576 1.0048084259
39 0.407158314437 0.995711386204
40 0.358992666379 0.992229759693
41 0.361172281578 1.00317263603
42 0.36644262895 0.990736722946
43 0.346468035877 0.999158501625
44 0.371608028188 0.987562835217
45 0.350127908587 0.973053634167
46 0.361100240052 1.00797772408
47 0.343192645162 1.03850293159
48 0.323530642688 1.03728926182
49 0.349923786521 1.04172885418
model number is: 45508
mae:  1.08782275042
corr:  0.575858527162
mult_acc:  0.29446
mult f_score:  0.29407
Confusion Matrix :
[[283  96]
 [ 94 213]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75066   0.74670   0.74868       379
        True    0.68932   0.69381   0.69156       307

   micro avg    0.72303   0.72303   0.72303       686
   macro avg    0.71999   0.72026   0.72012       686
weighted avg    0.72321   0.72303   0.72312       686

Accuracy  0.723032069971
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 300, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [156, 16, 8], 'momentum': 0.6}, {'shapes': 64, 'drop': 0.7}, {'shapes': 256, 'drop': 0.2}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.7}]
0 1.25154602826 1.13581478596 saving model
1 1.01591331214 1.12620484829 saving model
2 0.904327647388 1.02861177921 saving model
3 0.800471656024 0.989685297012 saving model
4 0.746535463631 0.951016902924 saving model
5 0.675840441138 0.979479074478
6 0.638017730415 0.964936673641
7 0.60510571003 1.00501585007
8 0.582654239982 1.03255140781
9 0.565224838257 0.95775616169
10 0.531113975495 0.971900641918
11 0.551171239465 1.01577377319
12 0.527801609784 1.04567146301
13 0.532586473227 1.04581487179
14 0.521254257113 1.02698945999
15 0.493599293381 0.986918330193
16 0.497788157314 0.97444242239
17 0.456755356491 0.979302048683
18 0.427497640252 0.967746496201
19 0.436007157713 0.980682551861
20 0.420318914205 1.0127311945
21 0.436941379309 1.00800585747
22 0.452346157283 1.04148852825
23 0.43235327974 0.969712197781
24 0.421288727224 0.95394128561
25 0.410289882123 0.945772945881 saving model
26 0.372150469571 0.946896493435
27 0.396025209129 0.96041148901
28 0.399264186621 0.975620865822
29 0.364086014777 0.955133378506
30 0.355799671263 1.00886452198
31 0.3653841272 0.969209611416
32 0.370797016472 0.969098210335
33 0.361849845946 0.979483783245
34 0.382220312208 0.957541584969
35 0.372772687674 0.960599303246
36 0.35608959347 0.987035632133
37 0.335606429353 0.983065605164
38 0.32685190998 0.99447286129
39 0.371888482571 0.979488551617
40 0.35663299337 0.972913563251
41 0.353667353839 0.981354296207
42 0.346466325969 0.986652553082
43 0.338090037555 0.92792570591 saving model
44 0.3458650399 0.948687970638
45 0.342636456713 0.954299867153
46 0.335724230856 0.970579743385
47 0.326731473207 0.99336963892
48 0.358635750413 0.991594433784
49 0.360672662407 0.983120024204
model number is: 94023
mae:  1.03990685091
corr:  0.595091022168
mult_acc:  0.31778
mult f_score:  0.32246
Confusion Matrix :
[[270 109]
 [ 82 225]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76705   0.71240   0.73871       379
        True    0.67365   0.73290   0.70203       307

   micro avg    0.72157   0.72157   0.72157       686
   macro avg    0.72035   0.72265   0.72037       686
weighted avg    0.72525   0.72157   0.72230       686

Accuracy  0.721574344023
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 300, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [156, 16, 80], 'momentum': 0.8}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.7}, {'shapes': 32, 'drop': 0.7}, {'shapes': 256, 'drop': 0.7}, {'shapes': 64, 'drop': 0.5}]
0 1.32871918678 1.36935913563 saving model
1 1.20881800652 1.277084589 saving model
2 1.13113687038 1.2475194931 saving model
3 1.046916008 1.14733672142 saving model
4 0.958928573132 1.05793118477 saving model
5 0.896604526043 1.05468344688 saving model
6 0.805072343349 0.966600179672 saving model
7 0.775367093086 0.95090931654 saving model
8 0.722256672382 0.92887789011 saving model
9 0.665204668045 0.972922086716
10 0.641396272182 0.948855340481
11 0.61022285223 0.982862353325
12 0.622915887833 1.04739916325
13 0.656865215302 1.00631308556
14 0.575080549717 0.9435095191
15 0.510149741173 0.945635139942
16 0.491693234444 0.937901377678
17 0.443681025505 0.898038864136 saving model
18 0.453164535761 0.91524720192
19 0.421327936649 0.936528742313
20 0.410775876045 0.915452420712
21 0.386608439684 0.926017343998
22 0.377685785294 0.915886640549
23 0.3619617939 0.899355530739
24 0.372985219955 0.948393464088
25 0.372139185667 0.924525856972
26 0.341989344358 0.927367091179
27 0.364625281096 0.933468043804
28 0.360379296541 0.923048019409
29 0.352628487349 0.924527525902
30 0.348166459799 0.937746942043
31 0.328965640068 0.929174304008
32 0.34232493639 0.899615705013
33 0.328325921297 0.926276862621
34 0.336678320169 0.913132488728
35 0.336452579498 0.910584747791
36 0.296672207117 0.931173920631
37 0.293754464388 0.917849481106
38 0.313355362415 0.933989703655
39 0.314465290308 0.924597203732
40 0.307290279865 0.94075512886
41 0.305637443066 0.903832137585
42 0.304849922657 0.906285524368
43 0.300467824936 0.924069404602
44 0.273216772079 0.908792436123
45 0.281883376837 0.91843599081
46 0.285808324814 0.917767465115
47 0.263993579149 0.926871240139
48 0.280074173212 0.920921623707
49 0.281862258911 0.910467028618
model number is: 55684
mae:  0.975603170801
corr:  0.631031724915
mult_acc:  0.34548
mult f_score:  0.34656
Confusion Matrix :
[[294  85]
 [ 86 221]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77368   0.77573   0.77470       379
        True    0.72222   0.71987   0.72104       307

   micro avg    0.75073   0.75073   0.75073       686
   macro avg    0.74795   0.74780   0.74787       686
weighted avg    0.75065   0.75073   0.75069       686

Accuracy  0.750728862974
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 300, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [32, 8, 80], 'momentum': 0.8}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}, {'shapes': 128, 'drop': 0.5}, {'shapes': 128, 'drop': 0.5}, {'shapes': 64, 'drop': 0.0}]
0 1.31373138428 1.38330006599 saving model
1 1.21984658241 1.24262058735 saving model
2 1.02670662403 1.1156244278 saving model
3 0.979242634773 1.11997246742
4 0.93319593668 1.09594547749 saving model
5 0.854737925529 1.08394742012 saving model
6 0.798641419411 1.03957021236 saving model
7 0.759256601334 1.05934262276
8 0.724835550785 1.01989114285 saving model
9 0.659929382801 0.984231412411 saving model
10 0.616317510605 0.983189463615 saving model
11 0.588753175735 0.983090758324 saving model
12 0.598503684998 0.984983503819
13 0.643197369576 1.0752133131
14 0.613798117638 1.00270879269
15 0.489267146587 0.973527550697 saving model
16 0.504407691956 1.01314461231
17 0.50099606514 1.01905441284
18 0.46471837759 0.978708982468
19 0.42659829855 0.968447625637 saving model
20 0.409766066074 0.9927110672
21 0.385341924429 1.00200629234
22 0.355262833834 0.973677873611
23 0.336377882957 0.97366720438
24 0.356912517548 0.975865364075
25 0.354095923901 1.01081216335
26 0.321160244942 0.99779433012
27 0.268214732409 0.984264552593
28 0.256957909465 0.980762839317
29 0.277333134413 0.974126398563
30 0.278313502669 1.00897073746
31 0.305737534165 0.981777369976
32 0.241684067249 0.978941380978
33 0.230154055357 0.976459145546
34 0.223751088977 0.997366666794
35 0.257464534044 0.975444734097
36 0.198553332686 0.973267793655
37 0.191790229082 0.968635082245
38 0.197067809105 0.978348553181
39 0.227295678854 0.976484000683
40 0.220818966627 0.967647790909 saving model
41 0.191919767857 0.970931649208
42 0.174777805805 0.958929538727 saving model
43 0.160531583428 0.964806854725
44 0.158905047178 0.971888363361
45 0.165284991264 0.965410709381
46 0.179022881389 0.972179293633
47 0.215348401666 0.966237425804
48 0.159683921933 0.970491349697
49 0.146866318583 0.96686899662
model number is: 48448
mae:  1.06827696498
corr:  0.581153811178
mult_acc:  0.31195
mult f_score:  0.31967
Confusion Matrix :
[[273 106]
 [ 85 222]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76257   0.72032   0.74084       379
        True    0.67683   0.72313   0.69921       307

   micro avg    0.72157   0.72157   0.72157       686
   macro avg    0.71970   0.72172   0.72003       686
weighted avg    0.72420   0.72157   0.72221       686

Accuracy  0.721574344023
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 400, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [88, 16, 32], 'momentum': 0.8}, {'shapes': 32, 'drop': 0.2}, {'shapes': 64, 'drop': 0.2}, {'shapes': 128, 'drop': 0.5}, {'shapes': 128, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}]
0 1.16244767755 1.10585391521 saving model
1 0.861745020747 1.00165295601 saving model
2 0.778407131135 1.05814707279
3 0.650261922181 0.961644947529 saving model
4 0.581684123725 0.997147262096
5 0.550992664695 1.00481748581
6 0.519446585327 0.962881445885
7 0.526345161349 0.971877157688
8 0.536398631334 1.02038705349
9 0.532945159078 0.9766086936
10 0.443651343137 0.984329998493
11 0.381280775741 0.94290882349 saving model
12 0.328815247118 0.95221889019
13 0.308276558295 0.954597949982
14 0.316211001202 0.985842108727
15 0.322553037852 0.96991443634
16 0.334971853346 0.964318215847
17 0.36799669601 0.95197814703
18 0.359685640782 0.947229504585
19 0.31707893759 0.964382469654
20 0.32226117067 0.996654272079
21 0.39176697433 0.945746660233
22 0.317411336675 0.945035517216
23 0.282760623097 0.973466455936
24 0.302352687344 0.942082941532 saving model
25 0.28489193432 0.968448579311
26 0.256966616213 0.952302098274
27 0.221244962513 0.976841807365
28 0.237484705448 0.983280658722
29 0.284182233363 0.940082550049 saving model
30 0.269132094458 0.957672774792
31 0.21490309611 0.993577718735
32 0.21603124328 0.974203050137
33 0.210752554983 0.949168026447
34 0.209711309522 0.973553359509
35 0.192251132429 0.978310406208
36 0.182446035556 0.997256577015
37 0.19272898566 0.9706351161
38 0.202800177783 0.971958458424
39 0.191020380892 1.00303411484
40 0.161782507785 0.992888271809
41 0.182065672986 0.964725553989
42 0.194000375643 0.946106374264
43 0.169366617873 0.969281971455
44 0.250859394297 1.00747203827
45 0.384425356984 0.933572769165 saving model
46 0.295664102957 0.929555892944 saving model
47 0.235255656019 0.939516544342
48 0.204205034301 0.926534771919 saving model
49 0.189590609446 0.913080096245 saving model
model number is: 51353
mae:  1.03181864569
corr:  0.603292181705
mult_acc:  0.3105
mult f_score:  0.31001
Confusion Matrix :
[[282  97]
 [ 97 210]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74406   0.74406   0.74406       379
        True    0.68404   0.68404   0.68404       307

   micro avg    0.71720   0.71720   0.71720       686
   macro avg    0.71405   0.71405   0.71405       686
weighted avg    0.71720   0.71720   0.71720       686

Accuracy  0.717201166181
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 300, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [256, 32, 80], 'momentum': 0.6}, {'shapes': 128, 'drop': 0.5}, {'shapes': 32, 'drop': 0.2}, {'shapes': 256, 'drop': 0.0}, {'shapes': 32, 'drop': 0.5}, {'shapes': 32, 'drop': 0.2}]
0 1.25123444796 1.12959444523 saving model
1 1.0445676893 1.07778584957 saving model
2 0.843719871342 0.993007898331 saving model
3 0.748242753744 0.958689928055 saving model
4 0.689487016201 0.935012221336 saving model
5 0.579688688368 1.00658810139
6 0.579120486975 0.963298141956
7 0.555123303831 0.922040462494 saving model
8 0.483175720274 0.898753345013 saving model
9 0.451652897894 0.903727710247
10 0.436998109519 0.943295180798
11 0.421460410953 1.00767660141
12 0.425102006644 0.953354537487
13 0.447129570693 0.936876416206
14 0.466539286822 0.907078921795
15 0.450032529235 0.911106705666
16 0.443214207888 0.930257081985
17 0.419176709652 0.934276461601
18 0.398516926169 0.922957003117
19 0.404516916722 0.948014855385
20 0.360438542813 0.929537951946
21 0.33909977302 0.956915855408
22 0.366922276467 0.929341971874
23 0.350155651942 1.00136482716
24 0.386279843748 1.01272821426
25 0.380439352244 0.983057022095
26 0.425272372365 0.984121024609
27 0.4931659922 1.02722597122
28 0.391470830888 0.909338593483
29 0.331062290072 0.937607705593
30 0.316199276596 0.960457742214
31 0.312782055885 0.958733022213
32 0.284426533058 0.9824847579
33 0.288417110592 0.959625303745
34 0.313071636856 0.94948887825
35 0.346286718175 0.942877709866
36 0.320845381543 0.947702586651
37 0.313464373723 0.967228829861
38 0.324009851739 0.953400850296
39 0.297929517552 0.946738421917
40 0.282829423249 0.942778885365
41 0.314654969797 0.94215041399
42 0.285502331704 0.95111143589
43 0.280349400267 0.99260956049
44 0.305100018904 0.980126023293
45 0.29634440802 1.01389420033
46 0.327932669222 0.990513026714
47 0.334110551327 0.963641822338
48 0.358440475538 0.9950491786
49 0.355335944518 0.970909774303
model number is: 26099
mae:  1.05104805901
corr:  0.626788417064
mult_acc:  0.29155
mult f_score:  0.31897
Confusion Matrix :
[[274 105]
 [ 66 241]]
Classification Report :
              precision    recall  f1-score   support

       False    0.80588   0.72296   0.76217       379
        True    0.69653   0.78502   0.73813       307

   micro avg    0.75073   0.75073   0.75073       686
   macro avg    0.75121   0.75399   0.75015       686
weighted avg    0.75695   0.75073   0.75141       686

Accuracy  0.750728862974
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 128, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [88, 16, 16], 'momentum': 0.8}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.7}, {'shapes': 256, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}, {'shapes': 32, 'drop': 0.7}]
0 1.31638157368 1.40092456341 saving model
1 1.29326524734 1.36172688007 saving model
2 1.22918202877 1.23673427105 saving model
3 1.12500579357 1.11343371868 saving model
4 1.08584258556 1.12423229218
5 1.03961945772 1.13770008087
6 1.01956534386 1.12368023396
7 0.979162490368 1.0797097683 saving model
8 0.952567481995 1.06088387966 saving model
9 0.902155852318 1.05599081516 saving model
10 0.879921710491 1.03085851669 saving model
11 0.863608908653 1.00952529907 saving model
12 0.852119874954 1.02966618538
13 0.832194077969 0.997841358185 saving model
14 0.81535397768 1.00313639641
15 0.795791578293 1.01489806175
16 0.76142603159 0.992797732353 saving model
17 0.738050448895 0.993909955025
18 0.728410160542 0.989988088608 saving model
19 0.731504154205 0.971785306931 saving model
20 0.690093028545 1.0268124342
21 0.732099354267 0.983207345009
22 0.700154280663 0.982869327068
23 0.685518407822 0.996217668056
24 0.666620063782 0.971138358116 saving model
25 0.638843214512 0.988802313805
26 0.624096643925 0.976405799389
27 0.621498584747 0.977053821087
28 0.602496898174 0.971008241177 saving model
29 0.593591690063 0.966038703918 saving model
30 0.57017108202 1.00152349472
31 0.587338757515 0.984597444534
32 0.575417971611 1.00441026688
33 0.598588013649 0.976242244244
34 0.558037245274 0.994940638542
35 0.580487775803 0.97044301033
36 0.54541721344 0.972980439663
37 0.54243915081 0.976877689362
38 0.538768446445 0.971962094307
39 0.518720173836 0.997438311577
40 0.521873855591 0.980253279209
41 0.519445896149 0.998339414597
42 0.524153888226 0.983165204525
43 0.529716956615 0.994467258453
44 0.514448404312 0.976014316082
45 0.491245704889 0.980046272278
46 0.478287094831 0.96015059948 saving model
47 0.515195214748 0.962928056717
48 0.500624912977 0.987097918987
49 0.5042522192 0.966403186321
model number is: 2618
mae:  1.04988775651
corr:  0.615114292403
mult_acc:  0.31487
mult f_score:  0.33388
Confusion Matrix :
[[273 106]
 [ 80 227]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77337   0.72032   0.74590       379
        True    0.68168   0.73941   0.70937       307

   micro avg    0.72886   0.72886   0.72886       686
   macro avg    0.72753   0.72987   0.72764       686
weighted avg    0.73234   0.72886   0.72956       686

Accuracy  0.728862973761
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 128, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [256, 48, 8], 'momentum': 0.1}, {'shapes': 128, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.0}]
0 1.31820738316 1.5999673605 saving model
1 1.35003886223 1.37711715698 saving model
2 1.16296286583 1.27219521999 saving model
3 1.12094912529 1.20505321026 saving model
4 1.01921823025 1.17183566093 saving model
5 0.913059067726 1.10181546211 saving model
6 0.826446866989 1.07724475861 saving model
7 0.778573381901 1.090244174
8 0.778986930847 1.10263061523
9 0.707446420193 1.01848304272 saving model
10 0.603405714035 1.0100492239 saving model
11 0.576644909382 0.994078099728 saving model
12 0.559259712696 1.03759646416
13 0.505190193653 0.998752057552
14 0.473195463419 0.999784231186
15 0.41452819109 0.989742636681 saving model
16 0.418933534622 0.973840177059 saving model
17 0.380341827869 0.971429407597 saving model
18 0.351546400785 0.995669543743
19 0.324484539032 0.990256488323
20 0.315698552132 0.982602953911
21 0.296393460035 0.996301651001
22 0.326879775524 1.01044785976
23 0.336881622672 0.971036791801 saving model
24 0.277553552389 0.952578663826 saving model
25 0.249750128388 0.985005319118
26 0.248889350891 0.980301916599
27 0.235158857703 0.97109156847
28 0.214185661077 0.967030644417
29 0.176593109965 0.982681035995
30 0.17468855083 1.00074446201
31 0.192280140519 0.984577953815
32 0.207823118567 0.98816382885
33 0.234885874391 0.978905677795
34 0.189292269945 1.00026643276
35 0.177186325192 0.977831304073
36 0.158559927344 0.962149083614
37 0.161810693145 1.00772857666
38 0.173350539804 0.993213653564
39 0.189711171389 0.970202624798
40 0.173043066263 0.978106021881
41 0.140162311494 0.982400536537
42 0.156852731109 0.981875240803
43 0.157909716666 0.974688649178
44 0.159929594398 0.982567667961
45 0.158625903726 0.983152389526
46 0.15414737165 0.977564275265
47 0.132720032334 0.984428048134
48 0.132955859601 1.00492477417
49 0.120990754664 0.998620271683
model number is: 44071
mae:  1.07192947927
corr:  0.547956084671
mult_acc:  0.3207
mult f_score:  0.32922
Confusion Matrix :
[[289  90]
 [109 198]]
Classification Report :
              precision    recall  f1-score   support

       False    0.72613   0.76253   0.74389       379
        True    0.68750   0.64495   0.66555       307

   micro avg    0.70991   0.70991   0.70991       686
   macro avg    0.70682   0.70374   0.70472       686
weighted avg    0.70884   0.70991   0.70883       686

Accuracy  0.709912536443
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 400, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [156, 48, 80], 'momentum': 0.6}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.2}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}]
0 1.32569000721 1.40930974483 saving model
1 1.30007491112 1.37943899632 saving model
2 1.25651795864 1.32326996326 saving model
3 1.16737217903 1.18118095398 saving model
4 1.06240663528 1.15677833557 saving model
5 1.00285714865 1.12077379227 saving model
6 0.951384806633 1.10215973854 saving model
7 0.912030375004 1.07861816883 saving model
8 0.869788062572 1.06040978432 saving model
9 0.864435613155 1.04675316811 saving model
10 0.850331270695 1.06212067604
11 0.845805490017 1.02245342731 saving model
12 0.786822998524 1.03171849251
13 0.751738679409 1.02970695496
14 0.742506301403 1.01828825474 saving model
15 0.735865950584 1.01704204082 saving model
16 0.743829286098 1.01895940304
17 0.68803166151 1.01938295364
18 0.682645905018 1.02691662312
19 0.675501251221 1.01726615429
20 0.655471813679 1.02380037308
21 0.663552105427 1.02741479874
22 0.660934841633 1.0270601511
23 0.602329361439 1.03099191189
24 0.590678524971 1.04230809212
25 0.567745149136 1.02830469608
26 0.560412371159 1.0228959322
27 0.540383291245 1.03656160831
28 0.57545542717 1.01827824116
29 0.544484901428 1.03733563423
30 0.547047758102 1.04155385494
31 0.503668987751 1.03705608845
32 0.518934243917 1.04180502892
33 0.468531602621 1.02525663376
34 0.483575284481 1.05523884296
35 0.470588761568 1.03747308254
36 0.439506071806 1.03930020332
37 0.430424827337 1.02549755573
38 0.429066377878 1.04479408264
39 0.420634996891 1.04728007317
40 0.400992202759 1.04179167747
41 0.364270341396 1.031727314
42 0.385119891167 1.02735126019
43 0.35448384285 1.06534254551
44 0.369822305441 1.04626882076
45 0.371641999483 1.05879724026
46 0.356460034847 1.03866302967
47 0.363502085209 1.06644916534
48 0.333909440041 1.03190362453
49 0.322069895267 1.05184495449
model number is: 13078
mae:  1.0113623736
corr:  0.621874717033
mult_acc:  0.28571
mult f_score:  0.32251
Confusion Matrix :
[[323  56]
 [115 192]]
Classification Report :
              precision    recall  f1-score   support

       False    0.73744   0.85224   0.79070       379
        True    0.77419   0.62541   0.69189       307

   micro avg    0.75073   0.75073   0.75073       686
   macro avg    0.75582   0.73882   0.74129       686
weighted avg    0.75389   0.75073   0.74648       686

Accuracy  0.750728862974
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 256, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [88, 8, 32], 'momentum': 0.3}, {'shapes': 256, 'drop': 0.0}, {'shapes': 64, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.2}, {'shapes': 256, 'drop': 0.7}]
0 1.31143317223 1.3779733181 saving model
1 1.18169974089 1.18360924721 saving model
2 1.00976920128 1.12246668339 saving model
3 0.931834480166 1.06375730038 saving model
4 0.841981130838 1.02402591705 saving model
5 0.835858699679 1.02254831791 saving model
6 0.797421985865 1.03379023075
7 0.77654632926 1.00390672684 saving model
8 0.711718848348 1.00590825081
9 0.655863621831 1.00890898705
10 0.64372472465 0.993819653988 saving model
11 0.586234225333 1.01696789265
12 0.608839145303 1.03406536579
13 0.61171117723 1.0117354393
14 0.568078692257 1.01746094227
15 0.526937842369 1.01633751392
16 0.50070579797 1.00916731358
17 0.48992818594 1.04124069214
18 0.477735219896 1.02464222908
19 0.480314774811 1.04241085052
20 0.452896998823 1.05684638023
21 0.441703367233 1.04608488083
22 0.437569741905 1.04726028442
23 0.427803505957 1.02278614044
24 0.397888451815 1.03739738464
25 0.395618936419 1.00515305996
26 0.381499348581 1.06945133209
27 0.420380066335 1.04135262966
28 0.38462561816 1.0388314724
29 0.382358217239 1.02926361561
30 0.372521260381 1.04568076134
31 0.34765432775 1.04164779186
32 0.335217633843 1.05840039253
33 0.339310397208 1.03996026516
34 0.344675992429 1.07528078556
35 0.331146898866 1.06520652771
36 0.368350709975 1.10247898102
37 0.382651515305 1.07258069515
38 0.379886004329 1.07043278217
39 0.396454723179 1.07453596592
40 0.443238139153 1.03649795055
41 0.468600988388 1.13133895397
42 0.472620899975 1.10147047043
43 0.420524229109 1.07634210587
44 0.377201873064 1.03380739689
45 0.350198930502 1.00503444672
46 0.325814732909 1.00691723824
47 0.291854223609 1.00341081619
48 0.281987906992 1.00813519955
49 0.274024902284 1.00025761127
model number is: 53913
mae:  1.02506658123
corr:  0.637814662754
mult_acc:  0.3207
mult f_score:  0.34124
Confusion Matrix :
[[280  99]
 [ 80 227]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77778   0.73879   0.75778       379
        True    0.69632   0.73941   0.71722       307

   micro avg    0.73907   0.73907   0.73907       686
   macro avg    0.73705   0.73910   0.73750       686
weighted avg    0.74132   0.73907   0.73963       686

Accuracy  0.739067055394
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 400, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [128, 48, 8], 'momentum': 0.3}, {'shapes': 256, 'drop': 0.2}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}, {'shapes': 32, 'drop': 0.2}]
0 1.21831575632 1.1407494545 saving model
1 0.993802085519 1.05971288681 saving model
2 0.809782466292 0.990869522095 saving model
3 0.697917079926 0.963912725449 saving model
4 0.633853122592 0.91341137886 saving model
5 0.596743786335 0.936942756176
6 0.539943613112 0.941411495209
7 0.517696975172 0.943058788776
8 0.471562150121 0.888600647449 saving model
9 0.485260127485 0.995935499668
10 0.486102361977 0.921416163445
11 0.448145346344 0.897936046124
12 0.422186620533 0.930146038532
13 0.400980207324 0.907457470894
14 0.361605003476 0.938963115215
15 0.338825814426 0.947806119919
16 0.330844837427 0.975487172604
17 0.347685988247 0.893284440041
18 0.34435583353 0.949827373028
19 0.33160289675 0.912958025932
20 0.312650194019 0.942469954491
21 0.356364876032 0.893069624901
22 0.311701821536 0.966386556625
23 0.289401552826 0.931291759014
24 0.26911528632 0.934687852859
25 0.279235967994 0.929336905479
26 0.276301778853 0.946441709995
27 0.262121132016 0.939261734486
28 0.278637330979 0.964864552021
29 0.301751223207 0.980533361435
30 0.292497650534 0.991934537888
31 0.308635091782 1.01020276546
32 0.413988003135 0.96778011322
33 0.430535662919 0.965065956116
34 0.453852103651 1.02508473396
35 0.408725762367 1.01157963276
36 0.377215823531 0.973849058151
37 0.388147445023 0.949012041092
38 0.410664875805 1.02801990509
39 0.448775509 1.0840818882
40 0.413559503853 0.992851138115
41 0.353304867446 0.982410550117
42 0.354478986561 0.973445296288
43 0.36131825 0.979881644249
44 0.341154918075 0.968224525452
45 0.357315504551 0.945636332035
46 0.333289061487 0.982598721981
47 0.317553398758 1.00446081161
48 0.335896518826 0.977547049522
49 0.316238695383 0.953373491764
model number is: 59296
mae:  1.00134689194
corr:  0.612666543553
mult_acc:  0.3309
mult f_score:  0.3325
Confusion Matrix :
[[285  94]
 [ 82 225]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77657   0.75198   0.76408       379
        True    0.70533   0.73290   0.71885       307

   micro avg    0.74344   0.74344   0.74344       686
   macro avg    0.74095   0.74244   0.74146       686
weighted avg    0.74469   0.74344   0.74384       686

Accuracy  0.743440233236
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 64, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [256, 48, 64], 'momentum': 0.5}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}]
0 1.2637617901 1.17711496353 saving model
1 1.06847459823 1.20218980312
2 0.987624523044 1.06237149239 saving model
3 0.879164850712 1.05423438549 saving model
4 0.829704941064 1.01290655136 saving model
5 0.786510740221 1.04401278496
6 0.740231477469 1.01856744289
7 0.741309148073 1.04879784584
8 0.70621669963 1.00120508671 saving model
9 0.69115191251 1.04516816139
10 0.654162928462 1.011936903
11 0.615400517732 1.05130827427
12 0.643534217775 0.997410774231 saving model
13 0.596820525825 1.03175783157
14 0.568159519136 1.00419080257
15 0.548072728515 0.999060034752
16 0.520195400715 1.00176858902
17 0.535913714021 0.992159366608 saving model
18 0.519184651971 0.983130991459 saving model
19 0.498868586868 1.04652440548
20 0.480525781959 1.00437879562
21 0.459210273623 1.02219903469
22 0.449721941352 1.0305031538
23 0.454485666007 1.04465997219
24 0.439148329198 1.03856027126
25 0.428972195089 1.00920593739
26 0.436998292804 0.990661859512
27 0.425209977478 1.00325334072
28 0.441542968899 0.989647328854
29 0.412132461369 0.986431002617
30 0.421918085217 0.975186169147 saving model
31 0.387652036175 0.994216442108
32 0.38195515424 0.991133928299
33 0.402428721637 0.986487627029
34 0.401410676539 0.983542919159
35 0.396199902892 0.934626698494 saving model
36 0.411988064647 0.954177796841
37 0.378203345463 0.993320763111
38 0.375905758515 0.978983461857
39 0.359154414386 0.964341104031
40 0.368756527454 0.962434113026
41 0.40790688172 1.00447952747
42 0.376903354004 1.0088391304
43 0.367267742753 0.966951966286
44 0.363483113796 0.984232187271
45 0.374360479414 0.993161201477
46 0.375992680341 0.956119120121
47 0.377637025714 0.965774297714
48 0.360618690029 1.02120149136
49 0.37132448554 1.01356458664
model number is: 24435
mae:  1.06029581183
corr:  0.602224437229
mult_acc:  0.31195
mult f_score:  0.32957
Confusion Matrix :
[[265 114]
 [ 79 228]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77035   0.69921   0.73306       379
        True    0.66667   0.74267   0.70262       307

   micro avg    0.71866   0.71866   0.71866       686
   macro avg    0.71851   0.72094   0.71784       686
weighted avg    0.72395   0.71866   0.71944       686

Accuracy  0.718658892128
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 256, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [88, 64, 64], 'momentum': 0.9}, {'shapes': 32, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 128, 'drop': 0.7}]
0 1.32582163811 1.31936466694 saving model
1 1.14647357464 1.26272857189 saving model
2 1.07921433449 1.13217234612 saving model
3 0.987032365799 1.13526892662
4 0.941113579273 1.06069648266 saving model
5 0.857606613636 0.993905842304 saving model
6 0.801316845417 0.9806214571 saving model
7 0.725804460049 0.96353071928 saving model
8 0.741938233376 0.982953846455
9 0.680436754227 0.971625864506
10 0.616311597824 0.971205413342
11 0.594768965244 0.970230877399
12 0.561009716988 0.949959039688 saving model
13 0.545374286175 0.961047947407
14 0.536729896069 1.004514575
15 0.558457744122 0.960748016834
16 0.519837760925 1.02074444294
17 0.529934900999 0.985794186592
18 0.446999949217 0.952148199081
19 0.449499112368 0.984696388245
20 0.423559349775 0.940837740898 saving model
21 0.405069684982 0.95187830925
22 0.389494991302 0.947281897068
23 0.381425893307 0.928592085838 saving model
24 0.378923523426 0.931684017181
25 0.363049066067 0.945146799088
26 0.38566391468 0.958493411541
27 0.363424026966 0.939907848835
28 0.343428885937 0.937188565731
29 0.339199841022 0.966852724552
30 0.330481505394 0.958387613297
31 0.345857661963 0.95908164978
32 0.337309008837 0.972891032696
33 0.342423921824 0.951536417007
34 0.318134528399 0.95206540823
35 0.322736686468 0.956787526608
36 0.324283230305 0.958979964256
37 0.315387678146 0.970565199852
38 0.323432034254 0.980992734432
39 0.309298944473 0.970713913441
40 0.315448534489 0.952490925789
41 0.31326186657 0.960145831108
42 0.302500021458 0.960241019726
43 0.315431833267 0.961643517017
44 0.315366613865 0.95428353548
45 0.301826441288 0.939635157585
46 0.301764178276 0.940959274769
47 0.316997617483 0.980668663979
48 0.303980255127 0.975160837173
49 0.305736243725 0.970395743847
model number is: 51872
mae:  1.09959953643
corr:  0.588040713735
mult_acc:  0.28717
mult f_score:  0.30104
Confusion Matrix :
[[253 126]
 [ 69 238]]
Classification Report :
              precision    recall  f1-score   support

       False    0.78571   0.66755   0.72183       379
        True    0.65385   0.77524   0.70939       307

   micro avg    0.71574   0.71574   0.71574       686
   macro avg    0.71978   0.72140   0.71561       686
weighted avg    0.72670   0.71574   0.71626       686

Accuracy  0.715743440233
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 256, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [88, 16, 16], 'momentum': 0.9}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.5}, {'shapes': 32, 'drop': 0.0}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.2}]
0 1.31943821907 1.41233897209 saving model
1 1.30401730537 1.39129340649 saving model
2 1.27753229141 1.35790908337 saving model
3 1.23406279087 1.2856426239 saving model
4 1.14210660458 1.17235672474 saving model
5 1.01978170872 1.14038443565 saving model
6 0.992113173008 1.10290777683 saving model
7 0.93775357008 1.10269272327 saving model
8 0.909252917767 1.0920817852 saving model
9 0.869109797478 1.06848716736 saving model
10 0.851522827148 1.04933559895 saving model
11 0.828920423985 1.04671359062 saving model
12 0.808073341846 1.03969323635 saving model
13 0.784720492363 1.03411304951 saving model
14 0.789903378487 1.01063394547 saving model
15 0.756692922115 1.03221094608
16 0.742459011078 1.03302526474
17 0.721512699127 1.01816868782
18 0.69197075367 1.01065945625
19 0.677169919014 1.00891816616 saving model
20 0.676712870598 1.00866031647 saving model
21 0.658847808838 1.0231436491
22 0.650902140141 1.04004883766
23 0.66750742197 1.01557743549
24 0.64202170372 1.01385247707
25 0.613382709026 1.00509572029 saving model
26 0.579477083683 1.00495553017 saving model
27 0.567633879185 1.0088763237
28 0.553814315796 1.0143198967
29 0.548423349857 1.02002906799
30 0.532309937477 1.04020404816
31 0.528528869152 1.02618181705
32 0.531165850163 1.01245427132
33 0.540052086115 1.04680597782
34 0.566833841801 1.03471708298
35 0.530933564901 1.0357530117
36 0.494687741995 1.01242589951
37 0.462396961451 1.01491951942
38 0.458971983194 1.03448069096
39 0.488888186216 1.03911912441
40 0.472508996725 1.03842246532
41 0.475821423531 1.01638567448
42 0.443615031242 1.02533376217
43 0.426805061102 1.0314694643
44 0.44111405015 1.03159224987
45 0.428257781267 1.03904938698
46 0.400697571039 1.02712547779
47 0.400682109594 1.04592311382
48 0.398439955711 1.04357373714
49 0.389374744892 1.0324280262
model number is: 34882
mae:  1.01210085524
corr:  0.631022652404
mult_acc:  0.32653
mult f_score:  0.35219
Confusion Matrix :
[[287  92]
 [ 75 232]]
Classification Report :
              precision    recall  f1-score   support

       False    0.79282   0.75726   0.77463       379
        True    0.71605   0.75570   0.73534       307

   micro avg    0.75656   0.75656   0.75656       686
   macro avg    0.75443   0.75648   0.75498       686
weighted avg    0.75846   0.75656   0.75705       686

Accuracy  0.756559766764
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 128, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [88, 32, 80], 'momentum': 0.3}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.7}, {'shapes': 32, 'drop': 0.0}]
0 1.26483233273 1.19209682941 saving model
1 0.991605010629 1.09585309029 saving model
2 0.856733588874 1.0621765852 saving model
3 0.795226596296 1.02957057953 saving model
4 0.743607752025 1.03240787983
5 0.724544721842 1.05900883675
6 0.728164906055 1.0027743578 saving model
7 0.608857637644 1.00375938416
8 0.561798350513 1.01927447319
9 0.521782880276 0.986034691334 saving model
10 0.481076963991 0.975566744804 saving model
11 0.456735224277 0.977724850178
12 0.469272319973 1.01765429974
13 0.454711680114 1.01968455315
14 0.385166499391 1.02911114693
15 0.351266522706 0.995710790157
16 0.360083046556 0.998457312584
17 0.361775219813 1.08774185181
18 0.370639438182 1.00961518288
19 0.311763347685 1.01668691635
20 0.292990316451 1.09383094311
21 0.296207265928 1.08355116844
22 0.334247848019 1.17382693291
23 0.349899225682 1.09751403332
24 0.367540275306 1.01709032059
25 0.311001202092 0.995388329029
26 0.304901396856 0.985640347004
27 0.250208239257 0.981560707092
28 0.232467637211 0.974085450172 saving model
29 0.231645316258 1.01001024246
30 0.223264272511 1.04940867424
31 0.232264875993 1.05053281784
32 0.234201985598 0.985760331154
33 0.222121493146 0.998356819153
34 0.214889963344 0.991461634636
35 0.216554827616 0.970656633377 saving model
36 0.237830006145 1.02476358414
37 0.240922833234 1.03027331829
38 0.191481051594 1.00542914867
39 0.180257683247 0.986885905266
40 0.17737395186 0.995152115822
41 0.174977491796 0.975325405598
42 0.212053527683 0.991759836674
43 0.215986867994 1.02477192879
44 0.192231185548 1.00041687489
45 0.189123653248 1.00735235214
46 0.170032928884 1.05384671688
47 0.192123948783 1.00436413288
48 0.195240316913 1.01389074326
49 0.191725100018 1.03310894966
model number is: 49742
mae:  1.03445059141
corr:  0.61098395036
mult_acc:  0.29446
mult f_score:  0.30303
Confusion Matrix :
[[304  75]
 [102 205]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74877   0.80211   0.77452       379
        True    0.73214   0.66775   0.69847       307

   micro avg    0.74198   0.74198   0.74198       686
   macro avg    0.74046   0.73493   0.73649       686
weighted avg    0.74133   0.74198   0.74049       686

Accuracy  0.741982507289
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 64, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [88, 8, 64], 'momentum': 0.8}, {'shapes': 64, 'drop': 0.2}, {'shapes': 128, 'drop': 0.2}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}]
0 1.27329559326 1.18105745316 saving model
1 1.11944479942 1.17640173435 saving model
2 0.997316682339 1.13450872898 saving model
3 0.915376341343 1.08236932755 saving model
4 0.820982992649 1.02609145641 saving model
5 0.747973883152 0.976754665375 saving model
6 0.687737059593 0.990234613419
7 0.67596142292 0.996756017208
8 0.685266542435 1.01715493202
9 0.61007951498 0.924023091793 saving model
10 0.49696020484 0.936881661415
11 0.485638993979 0.943056106567
12 0.448704016209 0.976401507854
13 0.448115646839 0.933371722698
14 0.409232676029 0.963212370872
15 0.374149411917 0.960589170456
16 0.338561719656 0.972607314587
17 0.322926235199 0.960605025291
18 0.328217434883 0.981471717358
19 0.301184797287 0.960732579231
20 0.267537623644 0.977855861187
21 0.290240865946 0.962791800499
22 0.273280566931 0.984746396542
23 0.252988567948 0.982980012894
24 0.226968213916 0.956959486008
25 0.209479999542 0.975882709026
26 0.222918760777 0.993941128254
27 0.217808637023 0.983211576939
28 0.190403866768 0.972531735897
29 0.182738825679 0.976888239384
30 0.174993282557 0.98306542635
31 0.202149808407 0.964441180229
32 0.159385272861 0.967918634415
33 0.152268728614 0.976463377476
34 0.152777406573 0.96458029747
35 0.138777911663 0.960044205189
36 0.164689686894 0.981152772903
37 0.168675005436 0.985112726688
38 0.145898836851 0.971871674061
39 0.145437407494 0.963470458984
40 0.152101022005 0.974353969097
41 0.127768212557 0.972874164581
42 0.143194785714 0.959761559963
43 0.120851691067 0.96473300457
44 0.12519620806 0.968802750111
45 0.122133663297 0.973230779171
46 0.133317303658 0.961065769196
47 0.109680896997 0.952186942101
48 0.12241601795 0.970786631107
49 0.131134194136 0.963132500648
model number is: 31195
mae:  1.03212178996
corr:  0.603053185692
mult_acc:  0.29446
mult f_score:  0.31109
Confusion Matrix :
[[287  92]
 [ 93 214]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75526   0.75726   0.75626       379
        True    0.69935   0.69707   0.69821       307

   micro avg    0.73032   0.73032   0.73032       686
   macro avg    0.72730   0.72716   0.72723       686
weighted avg    0.73024   0.73032   0.73028       686

Accuracy  0.730320699708
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 128, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [156, 80, 48], 'momentum': 0.1}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.2}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.2}]
0 1.3042308569 1.3401876688 saving model
1 1.13680789471 1.18953573704 saving model
2 1.03276605606 1.14669656754 saving model
3 0.940482223034 1.12983059883 saving model
4 0.884653007984 1.09169840813 saving model
5 0.835108721256 1.04744529724 saving model
6 0.791354310513 1.02418863773 saving model
7 0.75660995245 1.02477216721
8 0.71288036108 1.02338016033 saving model
9 0.676352679729 1.04292321205
10 0.648392629623 1.03540599346
11 0.62156765461 1.04089772701
12 0.600905668736 1.03015422821
13 0.612994217873 1.04023754597
14 0.676897168159 1.03086197376
15 0.648158752918 1.04036998749
16 0.560147988796 0.984971225262 saving model
17 0.547816812992 0.990040898323
18 0.498046422005 1.02557623386
19 0.470636260509 0.990176558495
20 0.415347218513 0.969088375568 saving model
21 0.40593046546 1.01357579231
22 0.382931673527 1.00827085972
23 0.374763047695 0.979348421097
24 0.383258998394 0.994781732559
25 0.427573055029 1.00015676022
26 0.347046178579 1.00040626526
27 0.316847717762 0.989262223244
28 0.285892295837 0.979439616203
29 0.268439802527 0.979150652885
30 0.297313714027 0.998041808605
31 0.289820080996 1.01233196259
32 0.315997734666 0.976100742817
33 0.268728929758 0.977525413036
34 0.274189180136 0.991185724735
35 0.245017340779 0.993209183216
36 0.25083669126 0.961154997349 saving model
37 0.247591674328 0.984110057354
38 0.239857688546 0.99205994606
39 0.205941525102 0.991478860378
40 0.207380446792 0.969298362732
41 0.207091838121 0.976624786854
42 0.215778934956 0.974150657654
43 0.210208341479 0.9922914505
44 0.196107301116 0.971426546574
45 0.182833629847 0.968222379684
46 0.192365846038 0.993026912212
47 0.169661149383 0.979401886463
48 0.165952193737 0.983925759792
49 0.171944630146 0.967130959034
model number is: 38743
mae:  1.04681928975
corr:  0.585648709355
mult_acc:  0.32216
mult f_score:  0.32905
Confusion Matrix :
[[281  98]
 [ 99 208]]
Classification Report :
              precision    recall  f1-score   support

       False    0.73947   0.74142   0.74045       379
        True    0.67974   0.67752   0.67863       307

   micro avg    0.71283   0.71283   0.71283       686
   macro avg    0.70961   0.70947   0.70954       686
weighted avg    0.71274   0.71283   0.71278       686

Accuracy  0.712827988338
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 128, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [88, 48, 16], 'momentum': 0.3}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.0}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.0}]
0 1.29808187485 1.33221435547 saving model
1 1.08577522039 1.20460045338 saving model
2 0.937766885757 1.09316861629 saving model
3 0.862925350666 1.07660269737 saving model
4 0.849176752567 1.04934358597 saving model
5 0.81807281971 1.0291686058 saving model
6 0.764441466331 1.02303993702 saving model
7 0.672267174721 0.953439235687 saving model
8 0.609048497677 0.971525490284
9 0.560892754793 0.943879663944 saving model
10 0.514707040787 0.949982047081
11 0.472063827515 0.95704549551
12 0.463400298357 0.965285360813
13 0.436748367548 1.00274050236
14 0.490952932835 0.965355753899
15 0.405226427317 0.941210329533 saving model
16 0.326148533821 0.930887341499 saving model
17 0.304032737017 0.938258826733
18 0.27591971159 0.936897218227
19 0.259356170893 0.958779931068
20 0.278609108925 0.947894752026
21 0.259890085459 0.945819020271
22 0.22771447897 0.952041149139
23 0.203138154745 0.947190344334
24 0.252142244577 0.935465872288
25 0.254787886143 0.971149981022
26 0.256127822399 0.946031749249
27 0.200840801001 0.944077908993
28 0.191862508655 0.940691113472
29 0.182165396214 0.934294402599
30 0.183532857895 0.949642241001
31 0.179116034508 0.944368481636
32 0.158978192508 0.92763453722 saving model
33 0.151105344296 0.927908480167
34 0.165657973289 0.944130241871
35 0.155137631297 0.956873714924
36 0.169497954845 0.934985458851
37 0.148531956971 0.940488874912
38 0.141028812528 0.930828928947
39 0.121445597708 0.93951267004
40 0.150064739585 0.923930883408 saving model
41 0.14548638314 0.949750423431
42 0.140727290511 0.957997560501
43 0.110085383058 0.944652318954
44 0.105563466251 0.929258406162
45 0.0936357021332 0.942539334297
46 0.0950857669115 0.932150363922
47 0.0980193689466 0.931029081345
48 0.0950134426355 0.927879273891
49 0.0899257093668 0.941413283348
model number is: 78907
mae:  1.07299597217
corr:  0.598741174685
mult_acc:  0.28426
mult f_score:  0.3023
Confusion Matrix :
[[282  97]
 [ 85 222]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76839   0.74406   0.75603       379
        True    0.69592   0.72313   0.70927       307

   micro avg    0.73469   0.73469   0.73469       686
   macro avg    0.73216   0.73360   0.73265       686
weighted avg    0.73596   0.73469   0.73510       686

Accuracy  0.734693877551
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 128, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [256, 32, 64], 'momentum': 0.5}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.2}, {'shapes': 256, 'drop': 0.2}]
0 1.35052754879 1.39908468723 saving model
1 1.23981518745 1.23767697811 saving model
2 0.996914231777 1.13097810745 saving model
3 0.933312511444 1.08773815632 saving model
4 0.813871181011 1.0001655817 saving model
5 0.719152879715 0.982808828354 saving model
6 0.660000729561 1.00224375725
7 0.597149717808 1.12155246735
8 0.614585995674 1.04699921608
9 0.637338507175 1.05106699467
10 0.645990490913 1.02501761913
11 0.580744922161 1.01664543152
12 0.500923913717 0.993992686272
13 0.438515359163 1.00575017929
14 0.406790339947 0.997927844524
15 0.350081956387 0.985469758511
16 0.338020205498 0.973607599735 saving model
17 0.359600067139 1.01241457462
18 0.459808832407 0.987841784954
19 0.403114873171 1.03205382824
20 0.372082740068 1.00762474537
21 0.272546052933 0.994063258171
22 0.271852767467 0.981259346008
23 0.290971466899 0.987124323845
24 0.29858340621 0.981933832169
25 0.251921024919 0.988230764866
26 0.245847415924 0.98210978508
27 0.229100614786 0.988140940666
28 0.226770687103 0.970042824745 saving model
29 0.231815394759 0.972065150738
30 0.256303218007 0.987662255764
31 0.251860424876 0.961349010468 saving model
32 0.22188565135 0.979137063026
33 0.203887104988 0.979985773563
34 0.192026814818 0.973289072514
35 0.206168228388 0.975046396255
36 0.199744996428 0.961695790291
37 0.18558229208 0.959653615952 saving model
38 0.188432106376 0.980661451817
39 0.197530668974 0.978133141994
40 0.184838321805 0.969124615192
41 0.19345536828 0.965507805347
42 0.17642673254 0.959813117981
43 0.185061758757 0.9582721591 saving model
44 0.172323620319 0.96293514967
45 0.173067331314 0.953036367893 saving model
46 0.168390792608 0.954290688038
47 0.156951084733 0.968353390694
48 0.16342458725 0.970489084721
49 0.16357793808 0.955982685089
model number is: 40972
mae:  1.08540116363
corr:  0.56563245097
mult_acc:  0.30612
mult f_score:  0.31843
Confusion Matrix :
[[257 122]
 [ 78 229]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76716   0.67810   0.71989       379
        True    0.65242   0.74593   0.69605       307

   micro avg    0.70845   0.70845   0.70845       686
   macro avg    0.70979   0.71201   0.70797       686
weighted avg    0.71581   0.70845   0.70922       686

Accuracy  0.708454810496
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 128, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [88, 8, 16], 'momentum': 0.5}, {'shapes': 128, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}, {'shapes': 128, 'drop': 0.5}, {'shapes': 256, 'drop': 0.0}]
0 1.3066016674 1.35306322575 saving model
1 1.16248579025 1.19882798195 saving model
2 1.04066307545 1.13037705421 saving model
3 0.930199635029 1.10095560551 saving model
4 0.88576477766 1.13195550442
5 0.866494727135 1.04564321041 saving model
6 0.78031733036 1.00993919373 saving model
7 0.722184574604 0.986277282238 saving model
8 0.652605164051 0.974366486073 saving model
9 0.607439923286 0.98063147068
10 0.551565492153 0.973995029926 saving model
11 0.515677809715 0.981180489063
12 0.511137825251 0.972661197186 saving model
13 0.48153911829 0.990727186203
14 0.45028193593 0.990470528603
15 0.452043879032 0.974128425121
16 0.380973720551 0.959562659264 saving model
17 0.340020102262 0.972075045109
18 0.316918820143 0.967455089092
19 0.311022365093 0.969660103321
20 0.315659403801 0.957003235817 saving model
21 0.297496563196 0.997643232346
22 0.336135131121 0.971266150475
23 0.259821546078 0.977214872837
24 0.248169013858 0.954218447208 saving model
25 0.255755665898 0.965934813023
26 0.240551635623 0.959703981876
27 0.213889616728 0.972636401653
28 0.225350633264 0.963625729084
29 0.208651229739 0.981467783451
30 0.201777112484 0.982224285603
31 0.202408364415 0.953221321106 saving model
32 0.178501302004 0.965662837029
33 0.168925145268 0.977047264576
34 0.165664821863 0.972354412079
35 0.14689976275 0.976290524006
36 0.167068475485 0.980364978313
37 0.167755076289 0.973016738892
38 0.156328320503 0.974639117718
39 0.173838299513 0.969178974628
40 0.185118815303 0.969008266926
41 0.162969309092 0.971674203873
42 0.134090265632 0.96962672472
43 0.142500090599 0.967244386673
44 0.132315547764 0.975840449333
45 0.138942825794 0.961762666702
46 0.155742414296 0.978787362576
47 0.1439438954 0.964118361473
48 0.128370891511 0.967302620411
49 0.129745939374 0.976100087166
model number is: 20261
mae:  1.10875249531
corr:  0.553113524642
mult_acc:  0.29738
mult f_score:  0.30292
Confusion Matrix :
[[266 113]
 [ 96 211]]
Classification Report :
              precision    recall  f1-score   support

       False    0.73481   0.70185   0.71795       379
        True    0.65123   0.68730   0.66878       307

   micro avg    0.69534   0.69534   0.69534       686
   macro avg    0.69302   0.69457   0.69336       686
weighted avg    0.69741   0.69534   0.69594       686

Accuracy  0.695335276968
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 300, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [128, 64, 48], 'momentum': 0.8}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.5}, {'shapes': 32, 'drop': 0.7}]
0 1.32002356052 1.37913954258 saving model
1 1.22861464024 1.26880228519 saving model
2 1.15988550186 1.17801690102 saving model
3 1.0774595499 1.19445121288
4 1.04953536987 1.10388052464 saving model
5 0.97074508667 1.06499564648 saving model
6 0.932490825653 1.03858244419 saving model
7 0.891560161114 1.03489756584 saving model
8 0.864871013165 1.00691258907 saving model
9 0.827448177338 0.989831805229 saving model
10 0.788290274143 0.976086318493 saving model
11 0.74863358736 0.97058480978 saving model
12 0.704815256596 1.00447964668
13 0.748481559753 0.995822310448
14 0.723992061615 1.02817344666
15 0.704266965389 0.979504942894
16 0.668710005283 0.994997799397
17 0.650215780735 0.9975938797
18 0.590786778927 0.969296097755 saving model
19 0.599280619621 0.955648303032 saving model
20 0.592375230789 0.994635939598
21 0.575345957279 0.964701652527
22 0.54802287817 0.971032559872
23 0.542374837399 0.973429262638
24 0.535636484623 0.982431232929
25 0.548127269745 0.970709264278
26 0.516684174538 0.950497150421 saving model
27 0.509617567062 0.970600664616
28 0.502270519733 0.952316939831
29 0.494220811129 0.963518559933
30 0.506430786848 0.968219339848
31 0.500954604149 0.950560569763
32 0.49812194109 0.967875123024
33 0.488819897175 0.976092517376
34 0.489339441061 0.983347475529
35 0.480518692732 0.976590752602
36 0.480275565386 0.969384849072
37 0.478478085995 0.978984296322
38 0.449899405241 0.95110565424
39 0.450464183092 0.952620744705
40 0.459062230587 0.959000647068
41 0.453431069851 0.95767813921
42 0.474799245596 0.971392512321
43 0.470269489288 0.96297711134
44 0.463278567791 0.962560236454
45 0.443785756826 0.96625649929
46 0.447209084034 0.952035427094
47 0.450278508663 0.957135677338
48 0.464636158943 0.947639346123 saving model
49 0.452623564005 0.976375520229
model number is: 88442
mae:  1.04150922244
corr:  0.606421330458
mult_acc:  0.27843
mult f_score:  0.30274
Confusion Matrix :
[[288  91]
 [ 83 224]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77628   0.75989   0.76800       379
        True    0.71111   0.72964   0.72026       307

   micro avg    0.74636   0.74636   0.74636       686
   macro avg    0.74370   0.74477   0.74413       686
weighted avg    0.74712   0.74636   0.74663       686

Accuracy  0.746355685131
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 64, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [156, 64, 32], 'momentum': 0.9}, {'shapes': 256, 'drop': 0.7}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.2}, {'shapes': 64, 'drop': 0.2}, {'shapes': 128, 'drop': 0.7}]
0 1.31018805504 1.31825220585 saving model
1 1.17666881084 1.22275006771 saving model
2 1.01540679932 1.11190474033 saving model
3 0.952992630005 1.06863927841 saving model
4 0.889777433872 1.06108570099 saving model
5 0.854243052006 1.01568126678 saving model
6 0.821712303162 0.977405667305 saving model
7 0.784624278545 0.998570621014
8 0.742535459995 0.97260415554 saving model
9 0.710107493401 0.981034874916
10 0.675863802433 0.991042912006
11 0.665543806553 0.987798690796
12 0.605607104301 0.995837926865
13 0.574043905735 1.00421011448
14 0.563878720999 0.989306211472
15 0.565307533741 0.995968341827
16 0.538831305504 0.982005536556
17 0.503363776207 0.985604643822
18 0.488974314928 0.973979175091
19 0.44697278142 0.976720929146
20 0.411917644739 0.963165938854 saving model
21 0.400390338898 0.966189742088
22 0.396409749985 0.977358877659
23 0.389436662197 0.968130707741
24 0.385810112953 0.968862891197
25 0.389960563183 0.958887755871 saving model
26 0.419716852903 0.971355319023
27 0.393542081118 0.996620416641
28 0.400940215588 0.9869094491
29 0.357596462965 0.965812563896
30 0.335467219353 0.980298399925
31 0.35108615756 0.958573758602 saving model
32 0.339209210873 0.979002535343
33 0.346038728952 0.988640069962
34 0.343902504444 0.958388030529 saving model
35 0.327481585741 0.98891890049
36 0.335371673107 0.970140457153
37 0.324038571119 0.968543887138
38 0.312093895674 0.959782958031
39 0.300617057085 0.964014291763
40 0.297713029385 0.981981039047
41 0.288744062185 0.955575346947 saving model
42 0.301761204004 0.958090186119
43 0.313341236115 0.975471436977
44 0.297403764725 0.959729671478
45 0.330045330524 0.98559576273
46 0.318288898468 0.98449587822
47 0.305853205919 0.981052696705
48 0.304204970598 0.975854337215
49 0.289723682404 0.96522462368
model number is: 50498
mae:  1.0787207368
corr:  0.572360600933
mult_acc:  0.27843
mult f_score:  0.29084
Confusion Matrix :
[[272 107]
 [ 89 218]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75346   0.71768   0.73514       379
        True    0.67077   0.71010   0.68987       307

   micro avg    0.71429   0.71429   0.71429       686
   macro avg    0.71212   0.71389   0.71250       686
weighted avg    0.71646   0.71429   0.71488       686

Accuracy  0.714285714286
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 400, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [64, 16, 16], 'momentum': 0.6}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.5}, {'shapes': 256, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}, {'shapes': 64, 'drop': 0.0}]
0 1.31023643017 1.34742760658 saving model
1 1.13858060837 1.17644453049 saving model
2 1.10793383121 1.20894181728
3 1.01022449732 1.15453457832 saving model
4 0.917935299873 1.08481061459 saving model
5 0.826661205292 1.04013252258 saving model
6 0.768753516674 1.02574396133 saving model
7 0.737059569359 0.977839708328 saving model
8 0.697636806965 1.02267241478
9 0.687053406239 0.967118501663 saving model
10 0.592569112778 0.967934846878
11 0.551438820362 0.956836283207 saving model
12 0.520883476734 0.945927143097 saving model
13 0.478092813492 0.952005445957
14 0.448490899801 0.952255904675
15 0.430844545364 0.953020095825
16 0.415651625395 0.935029566288 saving model
17 0.358715957403 0.948505342007
18 0.333360564709 0.939915418625
19 0.320551156998 0.943453371525
20 0.331840664148 0.938699543476
21 0.330936551094 0.971345305443
22 0.275747305155 0.957481443882
23 0.232646486163 0.948149621487
24 0.213891628385 0.946174144745
25 0.238443729281 0.943825542927
26 0.253619244695 0.964470744133
27 0.284344506264 0.964055895805
28 0.213096165657 0.939174592495
29 0.20992128551 0.945501744747
30 0.197201824188 0.977165997028
31 0.188684588671 0.973305940628
32 0.180133515596 0.955604076385
33 0.167699667811 0.966611623764
34 0.156653320789 0.96704518795
35 0.158266493678 0.954076230526
36 0.145585018396 0.947462499142
37 0.156110373139 0.961011171341
38 0.155042716861 0.959064722061
39 0.158043763041 0.956141591072
40 0.168846449256 0.957432508469
41 0.174757882953 0.952161490917
42 0.172684001923 0.956499814987
43 0.141083922982 0.971993744373
44 0.126617476344 0.963152647018
45 0.138857394457 0.94831430912
46 0.140744307637 0.955980181694
47 0.141578152776 0.961887717247
48 0.130990865827 0.95949691534
49 0.122256241739 0.956610560417
model number is: 22881
mae:  1.07638872608
corr:  0.595367739528
mult_acc:  0.30029
mult f_score:  0.32576
Confusion Matrix :
[[263 116]
 [ 89 218]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74716   0.69393   0.71956       379
        True    0.65269   0.71010   0.68019       307

   micro avg    0.70117   0.70117   0.70117       686
   macro avg    0.69993   0.70201   0.69987       686
weighted avg    0.70488   0.70117   0.70194       686

Accuracy  0.701166180758
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 64, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [128, 16, 16], 'momentum': 0.8}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}, {'shapes': 128, 'drop': 0.2}, {'shapes': 128, 'drop': 0.7}, {'shapes': 256, 'drop': 0.7}]
0 1.31960568428 1.39576053619 saving model
1 1.274109447 1.3309071064 saving model
2 1.15049681664 1.17380571365 saving model
3 1.05893649459 1.19599533081
4 0.982973176241 1.13180506229 saving model
5 0.964704120159 1.09805083275 saving model
6 0.896547561884 1.05804586411 saving model
7 0.84081210494 1.03538429737 saving model
8 0.810285794735 1.02121329308 saving model
9 0.77772333622 1.0151219368 saving model
10 0.747307056189 1.01223397255 saving model
11 0.702056342363 1.00769257545 saving model
12 0.69764841795 0.998689353466 saving model
13 0.651583057642 1.01859271526
14 0.645752453804 1.00519669056
15 0.587917941809 1.00190138817
16 0.570060014725 1.00392377377
17 0.538075208664 1.01403987408
18 0.526216307282 1.02275204659
19 0.509343445301 1.00745201111
20 0.498783645034 1.03782737255
21 0.490054115653 1.03392612934
22 0.47093527317 1.0164192915
23 0.433269926906 1.02428543568
24 0.423731416464 1.02613806725
25 0.404624262452 1.03873288631
26 0.414618748426 1.02250981331
27 0.416409593821 1.05197775364
28 0.401014581323 1.06668460369
29 0.443958216906 1.01109826565
30 0.496793061495 1.08726549149
31 0.539811313152 1.10622191429
32 0.58528085947 1.03956246376
33 0.509524342418 1.02713024616
34 0.415870934725 1.00843274593
35 0.347475835681 1.0039973259
36 0.322696584463 1.01155734062
37 0.308850699663 1.00916349888
38 0.302327647805 1.0201587677
39 0.302340775728 1.03839528561
40 0.296432593465 1.02910339832
41 0.307904490829 1.04066061974
42 0.324445390701 1.03192412853
43 0.360212549567 1.02642905712
44 0.37132409513 1.06255793571
45 0.367028301954 1.03064095974
46 0.345880940557 1.01749122143
47 0.299225731194 1.02397799492
48 0.300864207745 1.01954042912
49 0.28452590704 1.02239096165
model number is: 36939
mae:  1.04255930959
corr:  0.633420968861
mult_acc:  0.29446
mult f_score:  0.31877
Confusion Matrix :
[[275 104]
 [ 74 233]]
Classification Report :
              precision    recall  f1-score   support

       False    0.78797   0.72559   0.75549       379
        True    0.69139   0.75896   0.72360       307

   micro avg    0.74052   0.74052   0.74052       686
   macro avg    0.73968   0.74228   0.73955       686
weighted avg    0.74475   0.74052   0.74122       686

Accuracy  0.740524781341
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 400, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [88, 64, 80], 'momentum': 0.9}, {'shapes': 32, 'drop': 0.0}, {'shapes': 128, 'drop': 0.7}, {'shapes': 256, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}]
0 1.27207179666 1.19801735878 saving model
1 1.02055649757 1.09564566612 saving model
2 0.855989646912 1.01587057114 saving model
3 0.743391644955 0.98532050848 saving model
4 0.683964890242 0.957233011723 saving model
5 0.633331680298 0.978017389774
6 0.584228441119 0.931356191635 saving model
7 0.519345781207 1.03150653839
8 0.558838161826 0.955785572529
9 0.554590974748 1.05167877674
10 0.50136962682 0.894959747791 saving model
11 0.411541138589 0.921907663345
12 0.374180576205 0.936083257198
13 0.353242054582 0.933766305447
14 0.347348512709 0.905192255974
15 0.349371264875 0.913640320301
16 0.340725639462 0.928388357162
17 0.326318988949 0.990917384624
18 0.375915247202 0.962691366673
19 0.377452932298 0.948902666569
20 0.392002297938 0.961938858032
21 0.418421334028 1.01669836044
22 0.421009136736 1.03638362885
23 0.391868124902 1.00120329857
24 0.372866426408 0.918155610561
25 0.361410032213 0.957256197929
26 0.337541858852 0.917198300362
27 0.406521867961 0.948493242264
28 0.421170391142 1.01176309586
29 0.443288475275 1.0178757906
30 0.452442187071 0.982949316502
31 0.434124876559 0.945995748043
32 0.341238603741 0.929274618626
33 0.294027465582 0.928609251976
34 0.278297450393 0.960907578468
35 0.294715465605 0.951273679733
36 0.280024711788 0.985744953156
37 0.310642838478 0.958245635033
38 0.336491606385 0.94011759758
39 0.310478699952 0.983057558537
40 0.345185177028 0.914724051952
41 0.308814942092 0.916308224201
42 0.250209174305 0.927315235138
43 0.251474566013 0.940199136734
44 0.265867637843 0.955238699913
45 0.273201351613 0.948539316654
46 0.300687013566 0.963415086269
47 0.288892062753 0.985119640827
48 0.322959133983 0.927147746086
49 0.298835382611 0.949496865273
model number is: 72306
mae:  0.98149023787
corr:  0.624665550517
mult_acc:  0.3484
mult f_score:  0.35841
Confusion Matrix :
[[309  70]
 [ 98 209]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75921   0.81530   0.78626       379
        True    0.74910   0.68078   0.71331       307

   micro avg    0.75510   0.75510   0.75510       686
   macro avg    0.75416   0.74804   0.74979       686
weighted avg    0.75469   0.75510   0.75361       686

Accuracy  0.755102040816
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 400, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [64, 80, 48], 'momentum': 0.6}, {'shapes': 64, 'drop': 0.7}, {'shapes': 256, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.5}, {'shapes': 32, 'drop': 0.0}]
0 1.31715703011 1.40818607807 saving model
1 1.3055513382 1.39432179928 saving model
2 1.28804895878 1.37090277672 saving model
3 1.25517752171 1.32759308815 saving model
4 1.19074363708 1.2442650795 saving model
5 1.07568285465 1.11886072159 saving model
6 0.980367672443 1.08497667313 saving model
7 0.945815205574 1.07539606094 saving model
8 0.884901201725 1.08217728138
9 0.874027848244 1.0760538578
10 0.832405233383 1.04677903652 saving model
11 0.803615045547 1.02799153328 saving model
12 0.782891535759 1.02567207813 saving model
13 0.765313720703 1.03308594227
14 0.74665491581 1.02661013603
15 0.715436935425 1.02692568302
16 0.702806580067 1.02455413342 saving model
17 0.696559727192 1.01467454433 saving model
18 0.705608355999 1.04692924023
19 0.699623501301 1.00732982159 saving model
20 0.646374285221 1.01464235783
21 0.628959226608 1.01765429974
22 0.625316488743 1.02571308613
23 0.637613356113 1.03631150723
24 0.64420787096 1.00505495071 saving model
25 0.589310204983 1.02115809917
26 0.567701303959 1.0259321928
27 0.564608097076 1.04286670685
28 0.573613071442 1.03743422031
29 0.578000462055 1.01011955738
30 0.537365698814 1.02332913876
31 0.505994766951 1.02457463741
32 0.491262567043 1.0246168375
33 0.477982246876 1.04449105263
34 0.486825120449 1.06041002274
35 0.507410788536 1.07675039768
36 0.552314293385 1.04823005199
37 0.503537219763 1.04267084599
38 0.444177377224 1.04357910156
39 0.437203031778 1.05317759514
40 0.462457108498 1.04653477669
41 0.432939964533 1.03594839573
42 0.396934241056 1.03053164482
43 0.379096335173 1.04051172733
44 0.371166354418 1.04070520401
45 0.374144595861 1.06391656399
46 0.394434183836 1.08410596848
47 0.479069578648 1.05710184574
48 0.413660532236 1.04812610149
49 0.339290183783 1.05506634712
model number is: 56543
mae:  1.01079712869
corr:  0.633985657292
mult_acc:  0.30029
mult f_score:  0.3363
Confusion Matrix :
[[306  73]
 [ 97 210]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75931   0.80739   0.78261       379
        True    0.74205   0.68404   0.71186       307

   micro avg    0.75219   0.75219   0.75219       686
   macro avg    0.75068   0.74571   0.74724       686
weighted avg    0.75158   0.75219   0.75095       686

Accuracy  0.752186588921
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 256, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [64, 80, 32], 'momentum': 0.8}, {'shapes': 128, 'drop': 0.2}, {'shapes': 128, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.2}]
0 1.31230374575 1.39604341984 saving model
1 1.2427362442 1.23993694782 saving model
2 1.06484856606 1.20263195038 saving model
3 0.958811122179 1.12087225914 saving model
4 0.886089390516 1.07007539272 saving model
5 0.827132737637 1.05650603771 saving model
6 0.801976460218 1.03439700603 saving model
7 0.774182748795 1.05142998695
8 0.769497799873 1.10004937649
9 0.770773798227 1.10421180725
10 0.750840324163 1.02961993217 saving model
11 0.670063102245 1.01290309429 saving model
12 0.628747081757 1.01930463314
13 0.611265683174 1.03685700893
14 0.578186491132 1.03247356415
15 0.556250405312 1.04757928848
16 0.572302573919 1.02945697308
17 0.587841266394 1.05154323578
18 0.565932974219 1.035394907
19 0.53295481503 1.01395964622
20 0.450290292501 0.9988052845 saving model
21 0.406800696254 0.977407574654 saving model
22 0.385272654891 0.987765729427
23 0.373640587926 0.976322889328 saving model
24 0.357413426042 0.991631627083
25 0.368554103374 1.01693499088
26 0.383548551798 1.06559681892
27 0.451645475626 0.998333156109
28 0.447826907039 1.0501408577
29 0.416937345266 0.969540953636 saving model
30 0.333626714349 0.962825655937 saving model
31 0.304673540592 0.986343502998
32 0.295033803582 0.986249804497
33 0.296664965153 0.995647847652
34 0.309276220202 0.975610911846
35 0.319195738435 1.01580274105
36 0.342047916353 0.982526957989
37 0.324354209006 1.00739216805
38 0.296500086784 0.9875639081
39 0.277410703897 0.978452563286
40 0.267634370923 0.982751309872
41 0.264904814959 0.983802378178
42 0.268438357115 0.968125462532
43 0.261984784901 0.979971528053
44 0.248317797482 0.982405722141
45 0.230636815727 0.987855911255
46 0.232577742636 0.965489208698
47 0.231290929019 0.976830780506
48 0.224594151974 1.0018362999
49 0.253476664424 0.989817321301
model number is: 30200
mae:  1.05391556786
corr:  0.59343581664
mult_acc:  0.29446
mult f_score:  0.30491
Confusion Matrix :
[[271 108]
 [ 87 220]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75698   0.71504   0.73541       379
        True    0.67073   0.71661   0.69291       307

   micro avg    0.71574   0.71574   0.71574       686
   macro avg    0.71386   0.71583   0.71416       686
weighted avg    0.71838   0.71574   0.71639       686

Accuracy  0.715743440233
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 64, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [128, 64, 8], 'momentum': 0.5}, {'shapes': 32, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}]
0 1.26240110397 1.17815887928 saving model
1 0.995813387632 1.09549045563 saving model
2 0.891682752967 1.058396101 saving model
3 0.853746005893 1.13006973267
4 0.789639028907 1.06107747555
5 0.686668413877 1.02299177647 saving model
6 0.618307426572 1.04315412045
7 0.554911132157 1.00299429893 saving model
8 0.579820348322 1.0211751461
9 0.579303126037 1.00821971893
10 0.518331286311 0.965068101883 saving model
11 0.406649401784 0.962206244469 saving model
12 0.359452907741 1.002420187
13 0.376343390346 1.00494372845
14 0.398540988564 1.01921117306
15 0.409245572984 1.01272952557
16 0.391296298802 1.02701747417
17 0.4160788849 0.992352902889
18 0.41087667048 0.950380802155 saving model
19 0.375970496237 0.924194991589 saving model
20 0.311109553277 0.948856294155
21 0.267469425499 0.969468474388
22 0.231473491341 1.01543390751
23 0.245499205589 0.964623272419
24 0.271358811855 0.959456920624
25 0.253343339264 0.991081297398
26 0.258471030742 1.02721893787
27 0.279959545285 0.974797785282
28 0.354899579287 0.978339195251
29 0.329495292902 0.95676445961
30 0.296712132543 1.0263133049
31 0.358945610374 1.06292331219
32 0.37187237218 1.02977156639
33 0.335303728282 0.971243798733
34 0.28231934309 0.973942399025
35 0.269010484219 0.968163013458
36 0.259417694807 1.00119423866
37 0.277093171328 1.0562902689
38 0.293567798287 0.961178302765
39 0.291279310733 0.981782495975
40 0.274745171517 0.982654809952
41 0.271647868305 0.97036331892
42 0.221506118029 0.97313439846
43 0.179390072078 0.972921550274
44 0.188755055517 0.972848176956
45 0.203478676081 1.01994347572
46 0.251654770225 0.975160717964
47 0.260992182046 1.00510299206
48 0.248412515968 0.991843819618
49 0.226719106734 0.990049421787
model number is: 13725
mae:  1.08098283531
corr:  0.58733385875
mult_acc:  0.29883
mult f_score:  0.31412
Confusion Matrix :
[[279 100]
 [ 92 215]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75202   0.73615   0.74400       379
        True    0.68254   0.70033   0.69132       307

   micro avg    0.72012   0.72012   0.72012       686
   macro avg    0.71728   0.71824   0.71766       686
weighted avg    0.72093   0.72012   0.72042       686

Accuracy  0.720116618076
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 64, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [64, 64, 64], 'momentum': 0.9}, {'shapes': 32, 'drop': 0.5}, {'shapes': 32, 'drop': 0.7}, {'shapes': 128, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}, {'shapes': 256, 'drop': 0.2}]
0 1.17982582748 1.22306632996 saving model
1 0.928814600408 1.08835530281 saving model
2 0.893610212207 1.06844389439 saving model
3 0.804350952804 1.06296539307 saving model
4 0.712367667258 1.01599895954 saving model
5 0.646415775269 0.997626781464 saving model
6 0.570764798671 0.981640279293 saving model
7 0.568635439128 0.992673277855
8 0.596939603984 0.945589661598 saving model
9 0.49510724321 0.947933733463
10 0.45950261578 0.978242099285
11 0.419313127548 0.970289885998
12 0.38497217223 1.03219735622
13 0.365443772078 0.978562772274
14 0.361132767797 1.00660097599
15 0.38105587475 0.988992750645
16 0.362898622453 1.03465652466
17 0.319726461545 1.04834675789
18 0.405139096826 1.01118266582
19 0.437245132029 0.957320511341
20 0.407074443251 0.976489126682
21 0.401789200306 0.979732215405
22 0.328208665922 1.00314438343
23 0.279136118665 1.02090752125
24 0.248092617095 0.998039007187
25 0.242040707543 1.00998520851
26 0.255714375526 1.01339399815
27 0.27586206384 1.00559043884
28 0.260260312632 1.01265525818
29 0.237250283733 1.00138616562
30 0.215871328115 0.991333544254
31 0.244117240608 1.0138297081
32 0.314551365748 1.01344168186
33 0.331990993395 0.982052922249
34 0.290021130815 0.953186452389
35 0.254219245911 0.965202629566
36 0.236232377961 0.975059270859
37 0.222832199186 0.992114126682
38 0.233355459198 0.968953132629
39 0.258993176743 1.01187109947
40 0.267475723848 0.999503433704
41 0.22253699936 0.986233055592
42 0.192017673701 0.971425175667
43 0.177466325462 0.968597650528
44 0.184013105184 0.981755554676
45 0.189280473441 0.969629883766
46 0.190100180358 0.983528256416
47 0.200713677704 1.00558042526
48 0.219583165273 1.03700339794
49 0.262715798244 1.10769474506
model number is: 22150
mae:  1.06706639478
corr:  0.606370331663
mult_acc:  0.31487
mult f_score:  0.33
Confusion Matrix :
[[272 107]
 [ 77 230]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77937   0.71768   0.74725       379
        True    0.68249   0.74919   0.71429       307

   micro avg    0.73178   0.73178   0.73178       686
   macro avg    0.73093   0.73343   0.73077       686
weighted avg    0.73602   0.73178   0.73250       686

Accuracy  0.731778425656
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 256, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [32, 48, 48], 'momentum': 0.8}, {'shapes': 256, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.5}]
0 1.31730499268 1.40294957161 saving model
1 1.28474105 1.35229182243 saving model
2 1.16513314247 1.16408836842 saving model
3 1.0002809912 1.10601091385 saving model
4 0.900899487734 1.06214535236 saving model
5 0.856213837862 1.04044854641 saving model
6 0.802214896679 1.05213856697
7 0.769781288505 1.046225667
8 0.76819537282 1.01951003075 saving model
9 0.713058486581 1.00518655777 saving model
10 0.707866841555 1.02257955074
11 0.693594008684 1.02157187462
12 0.676040399075 1.03496825695
13 0.620404830575 1.01410520077
14 0.61299136281 1.0115686655
15 0.578415803611 1.0026447773 saving model
16 0.578418034315 1.0147061348
17 0.553833435476 1.01887881756
18 0.541341765225 1.00873029232
19 0.56995716691 1.01253545284
20 0.550433702767 1.01157426834
21 0.52207391113 1.04099655151
22 0.529438897967 1.04022467136
23 0.516559126973 1.01291894913
24 0.461630271375 1.01311445236
25 0.46559933722 1.03978550434
26 0.446415652335 1.03752720356
27 0.431394222379 1.03195166588
28 0.414828033745 1.0056989193
29 0.432979346812 1.0123026371
30 0.43189356178 1.04859423637
31 0.426075594127 1.09855437279
32 0.413678364456 1.03824746609
33 0.405356042087 1.00936698914
34 0.40243999213 1.04235327244
35 0.37034407109 1.06594002247
36 0.377755081654 1.01467871666
37 0.375722926855 1.01492500305
38 0.405542802811 1.07709467411
39 0.378976297379 0.998220920563 saving model
40 0.41396201998 1.04085218906
41 0.41312674284 1.03408062458
42 0.448896659911 1.04507994652
43 0.569821812212 1.13226354122
44 0.573520904779 1.14169883728
45 0.560172063112 1.05093491077
46 0.440628401935 1.07974851131
47 0.432313854992 1.06408619881
48 0.409938938916 1.04361951351
49 0.384217177331 1.02412247658
model number is: 52712
mae:  1.06148324986
corr:  0.56003210112
mult_acc:  0.31195
mult f_score:  0.32675
Confusion Matrix :
[[280  99]
 [106 201]]
Classification Report :
              precision    recall  f1-score   support

       False    0.72539   0.73879   0.73203       379
        True    0.67000   0.65472   0.66227       307

   micro avg    0.70117   0.70117   0.70117       686
   macro avg    0.69769   0.69675   0.69715       686
weighted avg    0.70060   0.70117   0.70081       686

Accuracy  0.701166180758
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 256, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [256, 48, 48], 'momentum': 0.9}, {'shapes': 32, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}]
0 1.27288261652 1.23584544659 saving model
1 1.12764731646 1.24454152584
2 0.975729382038 1.12116074562 saving model
3 0.84151160121 1.06610941887 saving model
4 0.763521498442 0.995627582073 saving model
5 0.63679061532 0.97269910574 saving model
6 0.586587452888 0.948037624359 saving model
7 0.532142585516 0.931175112724 saving model
8 0.469081676006 0.979780435562
9 0.460314634442 0.924261629581 saving model
10 0.473282024264 0.976217746735
11 0.458427378535 1.01712763309
12 0.43263130784 0.95833837986
13 0.375800186396 0.921818733215 saving model
14 0.35815743506 0.958656609058
15 0.373633885384 0.96881210804
16 0.342634302378 0.974621117115
17 0.328346988559 0.947266161442
18 0.287221048772 0.946765959263
19 0.345285350084 1.05660867691
20 0.488276280463 0.981537759304
21 0.506084886193 1.01869797707
22 0.358029252291 0.981400251389
23 0.281174045801 0.954287350178
24 0.26106056124 0.979903161526
25 0.344634592533 0.938448965549
26 0.317429205775 1.01343858242
27 0.29391951859 0.970329165459
28 0.229581318796 0.977733671665
29 0.233299152553 0.97042298317
30 0.2899824664 0.980708301067
31 0.237055760622 0.985424339771
32 0.204122149944 0.983601808548
33 0.19735403955 0.954124212265
34 0.187716951966 0.959594070911
35 0.254823678732 0.967840611935
36 0.209530243278 0.982499063015
37 0.16513517797 0.970169126987
38 0.153967072815 0.973903477192
39 0.201032387465 0.963138222694
40 0.245490965247 0.983703494072
41 0.247640645504 0.981090784073
42 0.169369216263 0.955806970596
43 0.16403445676 0.965730965137
44 0.15633905232 0.955741286278
45 0.165085054934 0.974841415882
46 0.18979319334 0.990139365196
47 0.154447364807 0.965649068356
48 0.141278278083 0.977152705193
49 0.152035447955 0.966198801994
model number is: 71983
mae:  1.05372433558
corr:  0.583123879981
mult_acc:  0.30758
mult f_score:  0.30836
Confusion Matrix :
[[291  88]
 [107 200]]
Classification Report :
              precision    recall  f1-score   support

       False    0.73116   0.76781   0.74903       379
        True    0.69444   0.65147   0.67227       307

   micro avg    0.71574   0.71574   0.71574       686
   macro avg    0.71280   0.70964   0.71065       686
weighted avg    0.71473   0.71574   0.71468       686

Accuracy  0.715743440233
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 256, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [32, 32, 16], 'momentum': 0.8}, {'shapes': 256, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.0}, {'shapes': 128, 'drop': 0.7}, {'shapes': 256, 'drop': 0.5}]
0 1.2986127466 1.30331647396 saving model
1 1.04550064653 1.09768569469 saving model
2 0.871532532573 1.00558507442 saving model
3 0.811558578908 1.03761315346
4 0.775769527256 0.994305491447 saving model
5 0.703506526351 1.01180040836
6 0.648020645976 0.994838654995
7 0.620244023949 0.99020332098 saving model
8 0.581923120469 0.981861889362 saving model
9 0.537151731551 0.993407130241
10 0.53743314147 1.00963819027
11 0.507937535644 1.00366699696
12 0.493662059307 1.00019073486
13 0.435745993257 1.00099670887
14 0.427877664566 0.997349023819
15 0.400738057494 1.01021099091
16 0.425491896272 0.976603925228 saving model
17 0.386928166449 1.02044594288
18 0.362349787727 1.07467913628
19 0.433650816977 1.11166739464
20 0.470178326219 1.05353152752
21 0.493535520136 0.968632459641 saving model
22 0.441861656308 0.986830592155
23 0.356529662758 0.962346255779 saving model
24 0.322049669921 0.970389306545
25 0.281317102909 0.991196811199
26 0.285343992338 0.979489564896
27 0.282932551205 1.00434160233
28 0.265453093871 0.9921220541
29 0.277783476934 0.998121678829
30 0.258607622609 0.999085009098
31 0.256421009824 0.974231183529
32 0.253564415127 1.00448930264
33 0.255106683448 0.978349983692
34 0.267453866452 0.969416737556
35 0.273955611885 0.974295735359
36 0.275798979402 1.01119565964
37 0.276499963924 0.995254874229
38 0.277495231107 1.00109422207
39 0.270329232141 0.98586833477
40 0.289053820819 1.03256392479
41 0.286110490933 1.07788550854
42 0.329471214861 1.0848236084
43 0.354843753576 1.01987719536
44 0.310711142793 0.985262334347
45 0.275892091542 1.00222980976
46 0.277559287846 0.994257926941
47 0.301133671775 0.986472904682
48 0.282033722475 0.996286034584
49 0.29464359805 1.00937247276
model number is: 21398
mae:  1.04781591775
corr:  0.591892025477
mult_acc:  0.32216
mult f_score:  0.3295
Confusion Matrix :
[[281  98]
 [ 88 219]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76152   0.74142   0.75134       379
        True    0.69085   0.71336   0.70192       307

   micro avg    0.72886   0.72886   0.72886       686
   macro avg    0.72618   0.72739   0.72663       686
weighted avg    0.72989   0.72886   0.72922       686

Accuracy  0.728862973761
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 64, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [128, 80, 32], 'momentum': 0.8}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}, {'shapes': 32, 'drop': 0.5}]
0 1.28118653297 1.34393358231 saving model
1 1.12128405571 1.11963880062 saving model
2 0.991352885962 1.12699496746
3 0.916970354319 1.01442611217 saving model
4 0.830775660276 1.01747763157
5 0.756865799427 0.978968322277 saving model
6 0.750022602081 0.965940535069 saving model
7 0.702376568317 0.964079678059 saving model
8 0.678492379189 1.01591444016
9 0.645308834314 0.970864236355
10 0.614135354757 0.972914755344
11 0.591318100691 0.940504193306 saving model
12 0.551423150301 0.945716440678
13 0.563486370444 1.0087184906
14 0.55874992609 1.0151219368
15 0.555693405867 1.00004255772
16 0.566036692262 0.973005831242
17 0.570064920187 0.976461708546
18 0.550955116749 1.01761543751
19 0.542114958167 0.914352238178 saving model
20 0.464617395401 0.921150028706
21 0.448749306798 0.983613967896
22 0.440605732799 0.959421873093
23 0.423583999276 0.942994892597
24 0.403463801742 0.954002797604
25 0.388233298063 0.952759385109
26 0.383453151584 0.996222734451
27 0.388839620352 0.984271228313
28 0.389554315805 0.980627417564
29 0.385693618655 0.961086511612
30 0.427492663264 0.990118205547
31 0.393095815182 0.993600130081
32 0.404415866733 0.983492255211
33 0.372534647584 0.975793719292
34 0.386371785402 0.934406638145
35 0.361964339018 0.945981264114
36 0.358501705527 0.972603321075
37 0.337323141098 0.959418237209
38 0.33767837882 0.94310939312
39 0.340256267786 0.956462323666
40 0.316266930103 0.966458261013
41 0.326053664088 0.968788444996
42 0.353819075227 0.983395814896
43 0.334521955252 0.965357780457
44 0.322311320901 0.977595984936
45 0.339122864604 0.962490320206
46 0.323623919487 0.979152500629
47 0.332171547413 1.00029587746
48 0.320139274001 0.961377561092
49 0.328157025576 0.948020458221
model number is: 16740
mae:  1.05063923742
corr:  0.58840333482
mult_acc:  0.30029
mult f_score:  0.31816
Confusion Matrix :
[[284  95]
 [ 92 215]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75532   0.74934   0.75232       379
        True    0.69355   0.70033   0.69692       307

   micro avg    0.72741   0.72741   0.72741       686
   macro avg    0.72443   0.72483   0.72462       686
weighted avg    0.72768   0.72741   0.72753       686

Accuracy  0.727405247813
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 300, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [64, 16, 48], 'momentum': 0.1}, {'shapes': 32, 'drop': 0.5}, {'shapes': 32, 'drop': 0.7}, {'shapes': 128, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}, {'shapes': 32, 'drop': 0.7}]
0 1.31134090424 1.39340388775 saving model
1 1.29748485088 1.31760394573 saving model
2 1.17794969082 1.15347361565 saving model
3 1.1070775032 1.1251783371 saving model
4 1.08676259518 1.15622282028
5 1.01598603725 1.08912789822 saving model
6 1.00485332012 1.06780183315 saving model
7 0.939322662354 1.0751696825
8 0.881572794914 1.04577839375 saving model
9 0.90074236393 1.02697074413 saving model
10 0.848649668694 1.03119170666
11 0.800467383862 1.0037676096 saving model
12 0.779072654247 1.01973903179
13 0.755474472046 1.00392055511
14 0.710563826561 0.982749283314 saving model
15 0.68957195282 0.979103446007 saving model
16 0.683795976639 0.980830252171
17 0.652483475208 0.967778563499 saving model
18 0.625720596313 0.987076759338
19 0.616745007038 0.953844368458 saving model
20 0.623856115341 0.995724499226
21 0.593323624134 0.970416843891
22 0.562991881371 0.989004611969
23 0.558949124813 0.973926007748
24 0.550327646732 0.978223025799
25 0.562966227531 0.972052097321
26 0.534359586239 0.970821201801
27 0.550572419167 0.949068665504 saving model
28 0.540220618248 0.972935318947
29 0.51096971035 0.961927235126
30 0.51517277956 0.958517968655
31 0.510973590612 0.995173335075
32 0.491642218828 0.964126110077
33 0.506725853682 1.00410175323
34 0.481172192097 0.951789677143
35 0.47735453248 0.938417255878 saving model
36 0.475001972914 0.960921764374
37 0.476293504238 0.976268172264
38 0.492370140553 0.96261292696
39 0.481025451422 0.987123668194
40 0.46355163455 0.971673548222
41 0.451939356327 0.969493567944
42 0.466544145346 0.962348341942
43 0.467860293388 0.949425160885
44 0.468231201172 0.954781532288
45 0.456790006161 0.982348442078
46 0.473524832726 0.974962115288
47 0.467856746912 0.956515789032
48 0.455163192749 0.984564781189
49 0.448241758347 0.953696846962
model number is: 47138
mae:  1.05928070475
corr:  0.606535640085
mult_acc:  0.27551
mult f_score:  0.30061
Confusion Matrix :
[[276 103]
 [ 89 218]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75616   0.72823   0.74194       379
        True    0.67913   0.71010   0.69427       307

   micro avg    0.72012   0.72012   0.72012       686
   macro avg    0.71765   0.71916   0.71810       686
weighted avg    0.72169   0.72012   0.72060       686

Accuracy  0.720116618076
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 64, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [156, 48, 64], 'momentum': 0.6}, {'shapes': 256, 'drop': 0.0}, {'shapes': 256, 'drop': 0.0}, {'shapes': 32, 'drop': 0.2}, {'shapes': 64, 'drop': 0.0}, {'shapes': 32, 'drop': 0.5}]
0 1.33320045471 1.41627788544 saving model
1 1.29914157391 1.37678766251 saving model
2 1.26434628963 1.33674788475 saving model
3 1.22424082756 1.27028739452 saving model
4 1.14166135788 1.15925991535 saving model
5 1.04527174234 1.10950815678 saving model
6 0.99945037365 1.1227158308
7 0.965675258636 1.09705805779 saving model
8 0.948398506641 1.07183015347 saving model
9 0.921626353264 1.05533444881 saving model
10 0.88668487072 1.04564368725 saving model
11 0.859759652615 1.03197360039 saving model
12 0.835587406158 1.01683425903 saving model
13 0.798603749275 1.02034509182
14 0.798390805721 1.00645267963 saving model
15 0.789322388172 1.00279998779 saving model
16 0.796802461147 1.04761946201
17 0.761384880543 1.00642931461
18 0.73563606739 0.9895388484 saving model
19 0.72527782917 1.02269375324
20 0.7100476861 0.994752347469
21 0.666631257534 0.983420014381 saving model
22 0.675965118408 1.00577831268
23 0.66710113287 1.02157449722
24 0.643075323105 0.997970759869
25 0.643473660946 0.995427012444
26 0.649981439114 1.02173268795
27 0.640826332569 1.01750791073
28 0.596974730492 1.02129769325
29 0.56660618782 1.00294792652
30 0.568662595749 1.02646577358
31 0.551948916912 1.03575229645
32 0.546953302622 1.03063952923
33 0.536963045597 1.01153206825
34 0.517128437757 1.02880382538
35 0.515506923199 1.03425729275
36 0.498898285627 1.0443791151
37 0.480195683241 1.02116382122
38 0.495686399937 1.02395451069
39 0.505232638121 1.06808972359
40 0.480984526873 1.04954218864
41 0.459184223413 1.01997637749
42 0.446839785576 1.03515148163
43 0.439144772291 1.0463616848
44 0.438231277466 1.04738903046
45 0.435574221611 1.03465008736
46 0.435495901108 1.04145753384
47 0.416323119402 1.04256248474
48 0.396695393324 1.03581988811
49 0.404287964106 1.0411939621
model number is: 2289
mae:  1.01447083153
corr:  0.630851947816
mult_acc:  0.30029
mult f_score:  0.32598
Confusion Matrix :
[[292  87]
 [ 85 222]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77454   0.77045   0.77249       379
        True    0.71845   0.72313   0.72078       307

   micro avg    0.74927   0.74927   0.74927       686
   macro avg    0.74649   0.74679   0.74663       686
weighted avg    0.74943   0.74927   0.74935       686

Accuracy  0.749271137026
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 64, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [256, 64, 80], 'momentum': 0.5}, {'shapes': 128, 'drop': 0.5}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}]
0 1.29719041586 1.26332080364 saving model
1 1.09086578488 1.24264276028 saving model
2 0.995176410675 1.10994410515 saving model
3 0.87125300169 1.02555572987 saving model
4 0.789425414801 0.944362699986 saving model
5 0.705561208725 1.02914774418
6 0.664535534382 0.997346043587
7 0.590499311686 1.00961840153
8 0.546160289645 1.01141345501
9 0.51347874105 0.95780402422
10 0.504492565989 0.99813747406
11 0.51375400126 1.01462233067
12 0.535421127081 0.997583627701
13 0.52891061902 1.0347764492
14 0.599146682024 1.01771569252
15 0.554560783505 0.99746888876
16 0.428019884229 0.916112363338 saving model
17 0.376059415936 0.909679234028 saving model
18 0.352389541268 0.932064116001
19 0.360245296359 0.93935996294
20 0.349608099461 0.949036598206
21 0.370336347818 0.96150457859
22 0.368155157566 0.952900767326
23 0.329917615652 0.962532401085
24 0.343401837349 0.942060053349
25 0.336296328902 0.948856592178
26 0.350573348999 0.935628116131
27 0.293997019529 0.966791808605
28 0.328613302112 0.95879894495
29 0.305512174964 0.964549303055
30 0.289684733748 0.938761889935
31 0.25997466296 0.938696622849
32 0.261948958039 0.953460872173
33 0.250856764615 0.945634186268
34 0.260156829655 0.954434335232
35 0.271217086911 0.913897573948
36 0.235723020136 0.945587337017
37 0.24842222482 0.943628013134
38 0.228568890691 0.95127004385
39 0.253077597916 0.90850675106 saving model
40 0.234249435365 0.923232138157
41 0.23210273087 0.942763149738
42 0.216644841433 0.922723352909
43 0.218193097413 0.921832084656
44 0.223136638105 0.912383019924
45 0.213098835945 0.944352686405
46 0.227136918902 0.941174924374
47 0.21724460423 0.933104276657
48 0.228471906483 0.912648439407
49 0.217041699588 0.931843519211
model number is: 68983
mae:  1.06975808573
corr:  0.5644045755
mult_acc:  0.30175
mult f_score:  0.3097
Confusion Matrix :
[[275 104]
 [ 91 216]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75137   0.72559   0.73826       379
        True    0.67500   0.70358   0.68900       307

   micro avg    0.71574   0.71574   0.71574       686
   macro avg    0.71318   0.71459   0.71363       686
weighted avg    0.71719   0.71574   0.71621       686

Accuracy  0.715743440233
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 300, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [64, 16, 64], 'momentum': 0.5}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.5}, {'shapes': 128, 'drop': 0.5}, {'shapes': 128, 'drop': 0.5}]
0 1.31293554902 1.39457988739 saving model
1 1.2532264173 1.27211368084 saving model
2 1.03805000186 1.08990955353 saving model
3 0.907288679481 1.04837179184 saving model
4 0.860204026103 1.05208003521
5 0.822658511996 1.04213202 saving model
6 0.784023222327 1.02218317986 saving model
7 0.732257315516 1.03595578671
8 0.729184770584 0.98995667696 saving model
9 0.697139373422 0.993619203568
10 0.654351557791 0.987012565136 saving model
11 0.597163762152 1.00506925583
12 0.602522867918 1.02561211586
13 0.581701090932 0.988350152969
14 0.538252808154 1.01177346706
15 0.538445571065 1.03577458858
16 0.537304182351 1.01867628098
17 0.522985568643 0.994674265385
18 0.47824331075 0.9875446558
19 0.466438518465 0.997057378292
20 0.453030498326 1.02528345585
21 0.448213456571 1.00736272335
22 0.421535553038 0.960048913956 saving model
23 0.411380580068 1.00487947464
24 0.383987702429 0.991639852524
25 0.371714262664 0.990294516087
26 0.377692660689 1.02397429943
27 0.409559965134 1.00266087055
28 0.429173456132 0.997480094433
29 0.364385187626 0.960721492767
30 0.399897712469 1.00678765774
31 0.414628745615 0.995059669018
32 0.524212482572 1.1016330719
33 0.588537751138 1.1547806263
34 0.579738894105 1.04532063007
35 0.511912949383 0.978127300739
36 0.426857016981 0.965148806572
37 0.387938468158 0.967118442059
38 0.358963313699 0.983836472034
39 0.32628814429 0.96948826313
40 0.301278188825 0.966384232044
41 0.292947381735 0.969983100891
42 0.290816067904 0.972382485867
43 0.290849549323 0.964433789253
44 0.273950714618 0.969364702702
45 0.265688502789 0.969241082668
46 0.258305094391 0.96549141407
47 0.261513710767 0.983650147915
48 0.253168936074 0.964457154274
49 0.257009068131 0.980295658112
model number is: 81959
mae:  1.04097144975
corr:  0.617010789775
mult_acc:  0.28863
mult f_score:  0.30212
Confusion Matrix :
[[281  98]
 [ 86 221]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76567   0.74142   0.75335       379
        True    0.69279   0.71987   0.70607       307

   micro avg    0.73178   0.73178   0.73178       686
   macro avg    0.72923   0.73065   0.72971       686
weighted avg    0.73305   0.73178   0.73219       686

Accuracy  0.731778425656
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 64, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [256, 48, 80], 'momentum': 0.5}, {'shapes': 128, 'drop': 0.5}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.2}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.2}]
0 1.28011813164 1.46041166782 saving model
1 1.21079137325 1.29114091396 saving model
2 1.07649641037 1.16991472244 saving model
3 0.975623261929 1.19895219803
4 0.932231712341 1.08411169052 saving model
5 0.80888633728 1.06847500801 saving model
6 0.738862025738 1.03552377224 saving model
7 0.693852412701 1.06911754608
8 0.677383458614 0.992357134819 saving model
9 0.60843962431 1.00264191628
10 0.561262667179 0.962678611279 saving model
11 0.506005442142 0.940003395081 saving model
12 0.477167797089 0.998948097229
13 0.452812725306 0.946484267712
14 0.406803029776 0.962485909462
15 0.398093491793 0.957143187523
16 0.350649595261 0.947032690048
17 0.362384903431 0.936090707779 saving model
18 0.324311059713 0.932126402855 saving model
19 0.335899978876 0.937811791897
20 0.313630574942 0.926157295704 saving model
21 0.295365273952 0.91787391901 saving model
22 0.293626457453 0.923271417618
23 0.290747272968 0.93480527401
24 0.274552792311 0.945627689362
25 0.28179653883 0.968211472034
26 0.270977795124 0.949861764908
27 0.261091825366 0.95097976923
28 0.251272010803 0.93193757534
29 0.246600428224 0.931621432304
30 0.234001302719 0.94398611784
31 0.218754640222 0.95762616396
32 0.217421525717 0.926674604416
33 0.226539024711 0.937855005264
34 0.25486073494 0.933461487293
35 0.238880559802 0.928404450417
36 0.225085192919 0.931118488312
37 0.210282149911 0.92992323637
38 0.204196763039 0.940590143204
39 0.207508471608 0.92278778553
40 0.204767456651 0.908861398697 saving model
41 0.202779701352 0.932365477085
42 0.198707190156 0.932088553905
43 0.194398239255 0.931513905525
44 0.187017658353 0.940660953522
45 0.192396304011 0.941783964634
46 0.187516269088 0.942033469677
47 0.191877451539 0.934995830059
48 0.196610987186 0.92022973299
49 0.197065156698 0.929200410843
model number is: 11776
mae:  1.06528524482
corr:  0.576626450375
mult_acc:  0.31924
mult f_score:  0.33393
Confusion Matrix :
[[270 109]
 [ 85 222]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76056   0.71240   0.73569       379
        True    0.67069   0.72313   0.69592       307

   micro avg    0.71720   0.71720   0.71720       686
   macro avg    0.71563   0.71776   0.71581       686
weighted avg    0.72035   0.71720   0.71790       686

Accuracy  0.717201166181
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 64, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [256, 8, 8], 'momentum': 0.5}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.7}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}]
0 1.29503881931 1.39250934124 saving model
1 1.19308316708 1.20328569412 saving model
2 1.07967121601 1.1224193573 saving model
3 1.00902308226 1.08203732967 saving model
4 0.903558492661 1.04582393169 saving model
5 0.824874794483 0.990497291088 saving model
6 0.783361363411 1.00223922729
7 0.748710215092 0.997041344643
8 0.708494615555 0.968575835228 saving model
9 0.709279763699 1.06293034554
10 0.673804271221 1.01472055912
11 0.589833688736 0.985309183598
12 0.551747322083 0.982195138931
13 0.520256978273 0.96837490797 saving model
14 0.470786786079 0.941262364388 saving model
15 0.452689027786 0.956905424595
16 0.424353438616 1.0294008255
17 0.48508643508 0.999226152897
18 0.476622462273 1.02954137325
19 0.426428705454 0.96991699934
20 0.373218810558 0.970457136631
21 0.345624613762 0.996195375919
22 0.331707328558 0.97820430994
23 0.321644997597 0.976678311825
24 0.325056791306 0.980057120323
25 0.307418376207 0.980001926422
26 0.322167164087 1.00674057007
27 0.301192134619 0.998165607452
28 0.286724364758 0.977440536022
29 0.285294824839 0.971898496151
30 0.276072335243 1.00508415699
31 0.271124577522 0.974540650845
32 0.248562669754 0.982479929924
33 0.238854163885 0.988198101521
34 0.257301214337 0.982192456722
35 0.245442292094 0.98192024231
36 0.257130634785 0.977631390095
37 0.266032063961 1.0039614439
38 0.275201165676 0.96829688549
39 0.268200823665 0.968412399292
40 0.254885703325 1.01372659206
41 0.255495911837 0.98726695776
42 0.244588458538 0.985762536526
43 0.231606808305 0.987810671329
44 0.248218348622 0.95999956131
45 0.242077034712 0.988564550877
46 0.228073632717 0.981083452702
47 0.220779982209 0.96565413475
48 0.221917888522 0.998876333237
49 0.216500046849 0.985478341579
model number is: 7253
mae:  1.06350903172
corr:  0.574897681639
mult_acc:  0.30029
mult f_score:  0.31132
Confusion Matrix :
[[292  87]
 [101 206]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74300   0.77045   0.75648       379
        True    0.70307   0.67101   0.68667       307

   micro avg    0.72595   0.72595   0.72595       686
   macro avg    0.72304   0.72073   0.72157       686
weighted avg    0.72513   0.72595   0.72524       686

Accuracy  0.725947521866
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 128, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [64, 48, 16], 'momentum': 0.5}, {'shapes': 64, 'drop': 0.7}, {'shapes': 256, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}]
0 1.30068960786 1.32142496109 saving model
1 1.09379275441 1.14637172222 saving model
2 0.942321813107 1.06659090519 saving model
3 0.830216640234 1.00763189793 saving model
4 0.748297467828 1.00392270088 saving model
5 0.727118971944 0.977856636047 saving model
6 0.678231310844 1.01449286938
7 0.719351157546 1.07898962498
8 0.638461978734 0.992995500565
9 0.567376576364 0.97974216938
10 0.542690183222 0.995603263378
11 0.494562059641 1.01385450363
12 0.481075355411 1.0260643959
13 0.489317244291 0.993972659111
14 0.504204301536 0.97403639555 saving model
15 0.453493086994 1.01049590111
16 0.425885592401 0.954268991947 saving model
17 0.403854450583 0.99454241991
18 0.379732970893 1.0090161562
19 0.363813741505 0.984128832817
20 0.369849853218 0.957651138306
21 0.342271339893 0.96648901701
22 0.351155115664 1.02096188068
23 0.386283186078 1.02064788342
24 0.392942400277 1.01701843739
25 0.387226898968 1.03529775143
26 0.416717748344 1.03200984001
27 0.430180509388 1.14173400402
28 0.47089125216 1.14491486549
29 0.47636218518 1.04700398445
30 0.424636761844 1.03260982037
31 0.448987230659 0.973703801632
32 0.410560177267 0.990091025829
33 0.41552939117 0.975745737553
34 0.338036485016 0.96899086237
35 0.316855958104 0.986535727978
36 0.286082259566 0.978410482407
37 0.275641559809 0.988082408905
38 0.276569989324 0.998814105988
39 0.277151299268 0.991671204567
40 0.266023218632 1.00980770588
41 0.286747996509 0.967686772346
42 0.308986200392 0.973631322384
43 0.28789524883 0.968655288219
44 0.291950737685 0.977574527264
45 0.27911933735 0.973405063152
46 0.270420307666 0.956459224224
47 0.260123369098 0.967918157578
48 0.246132805198 0.962825834751
49 0.250205623358 0.965221047401
model number is: 71589
mae:  1.04412261879
corr:  0.584748999144
mult_acc:  0.32216
mult f_score:  0.32936
Confusion Matrix :
[[275 104]
 [ 92 215]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74932   0.72559   0.73727       379
        True    0.67398   0.70033   0.68690       307

   micro avg    0.71429   0.71429   0.71429       686
   macro avg    0.71165   0.71296   0.71208       686
weighted avg    0.71560   0.71429   0.71473       686

Accuracy  0.714285714286
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 256, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [64, 64, 8], 'momentum': 0.3}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.2}]
0 1.17876863778 1.10410404205 saving model
1 0.90636202693 1.00952839851 saving model
2 0.775969696045 1.0320494175
3 0.748779259622 1.01395368576
4 0.710696581006 0.953697085381 saving model
5 0.584815824032 0.940848648548 saving model
6 0.511948978156 0.971765995026
7 0.488217579573 0.959353625774
8 0.468688260019 0.975976407528
9 0.435704144835 0.908448219299 saving model
10 0.436247079819 0.95777708292
11 0.428462258726 0.956776022911
12 0.394737542421 1.04373669624
13 0.421239231527 0.942229807377
14 0.457151445746 0.960410833359
15 0.397268632054 0.925541400909
16 0.333412692323 0.98536336422
17 0.34414813742 0.935056269169
18 0.320717372745 0.971536159515
19 0.324952603504 0.964997291565
20 0.380400935188 0.999571204185
21 0.354528113455 0.970407783985
22 0.368986116722 0.996546328068
23 0.34519967474 0.967084407806
24 0.358127114922 0.994679629803
25 0.411757589132 1.0218629837
26 0.404629925638 0.966221213341
27 0.324825466052 0.978103458881
28 0.320518271998 0.934694170952
29 0.311017422378 0.945128679276
30 0.354080608487 0.929937720299
31 0.331777128577 0.927929461002
32 0.299302440137 0.974800944328
33 0.265551196411 0.9686819911
34 0.256226965785 0.937972545624
35 0.243646657839 0.929267644882
36 0.286005991325 0.977064907551
37 0.28979530111 0.964059352875
38 0.301348120719 0.985387921333
39 0.309037602693 1.00266814232
40 0.368652519956 1.00600218773
41 0.312742984295 0.971437871456
42 0.297437043861 0.942658960819
43 0.268274015933 0.935699224472
44 0.255210316181 0.961960971355
45 0.254988307878 0.945274651051
46 0.237481063977 0.940521478653
47 0.239814689383 0.97322756052
48 0.267098271474 0.965639591217
49 0.244177689031 0.9485476017
model number is: 5649
mae:  1.08723231237
corr:  0.579748804116
mult_acc:  0.32216
mult f_score:  0.33222
Confusion Matrix :
[[292  87]
 [ 95 212]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75452   0.77045   0.76240       379
        True    0.70903   0.69055   0.69967       307

   micro avg    0.73469   0.73469   0.73469       686
   macro avg    0.73178   0.73050   0.73104       686
weighted avg    0.73416   0.73469   0.73433       686

Accuracy  0.734693877551
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 400, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [32, 32, 16], 'momentum': 0.5}, {'shapes': 256, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}, {'shapes': 32, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}, {'shapes': 256, 'drop': 0.7}]
0 1.33702096939 1.33763241768 saving model
1 1.14390456676 1.08979082108 saving model
2 1.00966317654 1.08629488945 saving model
3 0.942824840546 1.12161052227
4 0.914816391468 1.06294643879 saving model
5 0.825189042091 1.00820434093 saving model
6 0.734136509895 0.995161473751 saving model
7 0.668325102329 1.00529325008
8 0.677955794334 1.03788483143
9 0.675509619713 0.988183021545 saving model
10 0.593059551716 0.965348422527 saving model
11 0.56056497097 0.971537649632
12 0.537911736965 0.967620313168
13 0.515302282572 0.961149215698 saving model
14 0.484336924553 0.929144740105 saving model
15 0.473832726479 0.991504371166
16 0.48700171113 0.962574899197
17 0.516414302588 0.986407101154
18 0.486618769169 0.948539078236
19 0.415807974339 0.935495436192
20 0.424859142303 0.980283141136
21 0.429213160276 0.927268087864 saving model
22 0.386616688967 0.951925933361
23 0.370690017939 0.931812942028
24 0.347770833969 0.952495396137
25 0.345196771622 0.940678119659
26 0.348600268364 0.929003596306
27 0.340033531189 0.947935938835
28 0.337488877773 0.92963540554
29 0.350673282146 0.949841916561
30 0.323690605164 0.941825449467
31 0.330500036478 0.936907529831
32 0.319966852665 0.926251649857 saving model
33 0.314174193144 0.953658878803
34 0.302026647329 0.955263376236
35 0.311972898245 0.932254552841
36 0.301484012604 0.959897637367
37 0.286751419306 0.957993626595
38 0.313333314657 0.971664309502
39 0.28790974617 0.977736055851
40 0.278939890862 0.975706934929
41 0.273135793209 0.956324219704
42 0.275429981947 0.95758163929
43 0.27490747571 0.94966250658
44 0.267080789804 0.963990867138
45 0.274193948507 0.971239209175
46 0.277235400677 0.9609131217
47 0.294897472858 0.94253474474
48 0.285120302439 0.966684281826
49 0.292290878296 0.961370408535
model number is: 16800
mae:  1.09819657573
corr:  0.572281390907
mult_acc:  0.31633
mult f_score:  0.32757
Confusion Matrix :
[[256 123]
 [ 74 233]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77576   0.67546   0.72214       379
        True    0.65449   0.75896   0.70287       307

   micro avg    0.71283   0.71283   0.71283       686
   macro avg    0.71513   0.71721   0.71250       686
weighted avg    0.72149   0.71283   0.71352       686

Accuracy  0.712827988338
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 64, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [156, 32, 16], 'momentum': 0.5}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.2}]
0 1.15819976032 1.07785880566 saving model
1 0.990321163833 0.992229878902 saving model
2 0.846469934285 1.04582357407
3 0.777794288099 1.00516331196
4 0.690475255251 0.980390012264 saving model
5 0.621158739179 0.972547113895 saving model
6 0.539632879943 0.934556305408 saving model
7 0.527550661564 1.00006628036
8 0.520699772239 0.955372989178
9 0.474924076349 0.946952879429
10 0.446816219389 0.902541935444 saving model
11 0.400262512267 0.933260440826
12 0.427371582389 0.937088727951
13 0.455810556561 1.03044509888
14 0.480331768841 1.00536680222
15 0.523658383638 1.04695999622
16 0.465062936395 0.973047494888
17 0.415863271803 0.951988697052
18 0.33516469188 0.939652383327
19 0.319496081397 0.885755360126 saving model
20 0.299627223238 0.898133814335
21 0.293643444404 0.896416664124
22 0.290262742341 0.905385494232
23 0.308722195774 0.901360273361
24 0.329220538586 0.928036749363
25 0.341879232228 0.944190144539
26 0.404709297419 0.975859105587
27 0.31850605011 0.977620065212
28 0.355468468741 0.99697971344
29 0.357416066155 0.997360229492
30 0.373097027093 0.905919790268
31 0.331945659593 0.930100739002
32 0.313833669201 0.929103314877
33 0.318525426835 0.917512714863
34 0.299074407294 0.892986238003
35 0.301417445764 0.914677500725
36 0.301732361689 0.956530928612
37 0.30387176536 0.981946527958
38 0.27879024893 0.961320698261
39 0.262577369064 0.944778680801
40 0.262480239198 0.930184304714
41 0.266664675996 0.937965095043
42 0.288135718182 0.92330211401
43 0.292994850874 0.947460412979
44 0.331274227425 0.921122252941
45 0.320686201751 0.914883673191
46 0.309627832845 0.940184295177
47 0.301057107747 0.940076351166
48 0.28640495576 0.948671877384
49 0.291301120073 0.949717581272
model number is: 14796
mae:  1.0342571183
corr:  0.610075660347
mult_acc:  0.30758
mult f_score:  0.31377
Confusion Matrix :
[[277 102]
 [ 80 227]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77591   0.73087   0.75272       379
        True    0.68997   0.73941   0.71384       307

   micro avg    0.73469   0.73469   0.73469       686
   macro avg    0.73294   0.73514   0.73328       686
weighted avg    0.73745   0.73469   0.73532       686

Accuracy  0.734693877551
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [256, 80, 32], 'momentum': 0.1}, {'shapes': 64, 'drop': 0.2}, {'shapes': 128, 'drop': 0.2}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}, {'shapes': 128, 'drop': 0.5}]
0 1.36986403465 1.19381809235 saving model
1 1.1474198699 1.2739777565
2 0.983900403976 1.0226688385 saving model
3 0.864615410566 1.00448083878 saving model
4 0.761661720276 0.941599428654 saving model
5 0.70057092309 0.989020824432
6 0.697287207842 0.951858043671
7 0.577284872532 0.928541958332 saving model
8 0.558820527792 0.936310768127
9 0.485359448195 0.960394978523
10 0.476529273391 0.951059520245
11 0.460524785519 0.961144208908
12 0.415247413516 0.927463233471 saving model
13 0.400144195557 0.954420983791
14 0.402190631628 0.944154024124
15 0.414786323905 0.961689472198
16 0.385529768467 0.942467153072
17 0.390755432844 0.991223812103
18 0.404308474064 1.0279096365
19 0.538202238083 1.0381231308
20 0.618697580695 1.0417188406
21 0.465173509717 0.940588831902
22 0.402454981208 0.968190014362
23 0.402310925722 0.954374074936
24 0.464376372099 0.965923309326
25 0.39066426754 0.986419677734
26 0.377871635556 0.909844636917 saving model
27 0.317056196928 0.928282976151
28 0.339131528139 0.940539479256
29 0.320907828212 0.954495310783
30 0.335691404343 0.910690486431
31 0.300352331996 0.918091595173
32 0.294625458121 0.917949974537
33 0.304269888997 0.955973684788
34 0.302201130986 0.95997262001
35 0.354685619473 0.923023581505
36 0.305324983597 0.941937685013
37 0.318480741978 0.981934666634
38 0.311700618267 1.00432085991
39 0.400736150146 0.927029013634
40 0.450390672684 0.930263578892
41 0.34698137641 0.943468868732
42 0.277854961157 0.941736757755
43 0.294315160811 0.948414623737
44 0.306297418475 0.932898402214
45 0.294502159953 0.91122508049
46 0.310530556738 0.975946426392
47 0.299037364125 0.959385871887
48 0.286962914467 0.921693086624
49 0.275864133239 0.935405492783
model number is: 29369
mae:  1.01772407028
corr:  0.606218482752
mult_acc:  0.32362
mult f_score:  0.33144
Confusion Matrix :
[[287  92]
 [ 78 229]]
Classification Report :
              precision    recall  f1-score   support

       False    0.78630   0.75726   0.77151       379
        True    0.71340   0.74593   0.72930       307

   micro avg    0.75219   0.75219   0.75219       686
   macro avg    0.74985   0.75159   0.75040       686
weighted avg    0.75367   0.75219   0.75262       686

Accuracy  0.752186588921
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [156, 32, 32], 'momentum': 0.6}, {'shapes': 32, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.2}]
0 1.35720174313 1.37792527676 saving model
1 1.18026692867 1.11998713017 saving model
2 0.985875713825 1.09434998035 saving model
3 0.845572018623 1.04463338852 saving model
4 0.752286481857 1.128718853
5 0.747890996933 0.97320663929 saving model
6 0.622558999062 1.02953207493
7 0.588789474964 0.988656580448
8 0.566016486287 0.972686350346 saving model
9 0.534504425526 1.01545083523
10 0.558326846361 0.998032808304
11 0.638739293814 1.06854009628
12 0.564393180609 0.970189392567 saving model
13 0.451314222813 0.942476630211 saving model
14 0.424288612604 0.948293864727
15 0.435492780805 0.980767548084
16 0.473393705487 0.980132818222
17 0.452072188258 0.983974695206
18 0.48509747982 0.99924904108
19 0.42414098084 0.947384417057
20 0.37224021256 0.970482587814
21 0.373213177919 0.926729381084 saving model
22 0.397264805436 0.978608369827
23 0.444008100033 0.931644499302
24 0.390722629428 1.00599575043
25 0.354523584247 0.932053208351
26 0.326090091467 0.93933480978
27 0.32770344615 0.939444065094
28 0.308689776063 0.95711016655
29 0.296468621492 0.974547624588
30 0.27795483619 0.908489108086 saving model
31 0.280779133737 0.928248882294
32 0.296391938627 0.934074997902
33 0.309050619602 0.970712959766
34 0.322073969245 0.948503434658
35 0.308338713646 0.920190691948
36 0.293762379885 0.889767169952 saving model
37 0.262182548642 0.924528539181
38 0.279383036494 0.952756524086
39 0.276434279978 0.93599653244
40 0.260229463875 0.905544877052
41 0.259677186608 0.910612285137
42 0.268777121603 0.933227658272
43 0.255144359171 0.961217343807
44 0.253295193613 0.950760602951
45 0.253771089017 0.916230738163
46 0.245322427154 0.904096901417
47 0.245795251429 0.929384768009
48 0.250286525488 0.939940333366
49 0.254052980244 0.918986439705
model number is: 79210
mae:  1.07040569207
corr:  0.600752462176
mult_acc:  0.293
mult f_score:  0.31222
Confusion Matrix :
[[262 117]
 [ 74 233]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77976   0.69129   0.73287       379
        True    0.66571   0.75896   0.70928       307

   micro avg    0.72157   0.72157   0.72157       686
   macro avg    0.72274   0.72513   0.72108       686
weighted avg    0.72872   0.72157   0.72231       686

Accuracy  0.721574344023
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 400, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [128, 8, 8], 'momentum': 0.1}, {'shapes': 64, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}, {'shapes': 256, 'drop': 0.0}, {'shapes': 128, 'drop': 0.5}, {'shapes': 256, 'drop': 0.0}]
0 1.31825211048 1.39283359051 saving model
1 1.2555901289 1.27421081066 saving model
2 1.07804470062 1.16289460659 saving model
3 0.97271989584 1.12521290779 saving model
4 0.921306562424 1.09705018997 saving model
5 0.867910587788 1.05283308029 saving model
6 0.838219094276 1.06859898567
7 0.826924061775 1.09712684155
8 0.806420624256 1.08572423458
9 0.789245140553 1.0271294117 saving model
10 0.732370448112 0.992480397224 saving model
11 0.682720005512 0.998105287552
12 0.665913259983 0.977900087833 saving model
13 0.637356388569 1.00111222267
14 0.631384551525 0.986427485943
15 0.601597201824 0.997517287731
16 0.578770279884 0.989340662956
17 0.547984051704 0.99179238081
18 0.492815303802 1.00356256962
19 0.505636394024 0.981054723263
20 0.477955031395 0.982576847076
21 0.44750854969 0.98690289259
22 0.412430423498 0.986231267452
23 0.37325103879 0.990161120892
24 0.364837908745 0.995616018772
25 0.357776230574 0.992675065994
26 0.350100374222 1.00136172771
27 0.363491821289 0.997207224369
28 0.367737734318 1.03534829617
29 0.329137092829 0.990527153015
30 0.256820166111 0.985429763794
31 0.246928906441 0.997345149517
32 0.254785636067 1.00117099285
33 0.286407989264 1.02470362186
34 0.283459079266 0.991181373596
35 0.230490657687 0.992891609669
36 0.224180155993 1.00087463856
37 0.235137650371 1.0097874403
38 0.230185163021 0.973529279232 saving model
39 0.201077577472 0.987333118916
40 0.178971409798 0.997504889965
41 0.187716904283 0.981304645538
42 0.192398160696 0.994340777397
43 0.209859332442 0.997252523899
44 0.183284530044 1.00507795811
45 0.156070068479 0.989337384701
46 0.13921649754 0.992767512798
47 0.153346773982 0.980856597424
48 0.156138324738 0.988184034824
49 0.180253407359 0.995292544365
model number is: 15927
mae:  1.04771206481
corr:  0.589471934193
mult_acc:  0.31195
mult f_score:  0.31917
Confusion Matrix :
[[286  93]
 [ 93 214]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75462   0.75462   0.75462       379
        True    0.69707   0.69707   0.69707       307

   micro avg    0.72886   0.72886   0.72886       686
   macro avg    0.72584   0.72584   0.72584       686
weighted avg    0.72886   0.72886   0.72886       686

Accuracy  0.728862973761
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 400, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [64, 16, 80], 'momentum': 0.8}, {'shapes': 256, 'drop': 0.0}, {'shapes': 32, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}]
0 1.3167781353 1.3902733326 saving model
1 1.2280236125 1.21813488007 saving model
2 1.02567454576 1.14282333851 saving model
3 0.935086512566 1.09301388264 saving model
4 0.851416248083 1.06940066814 saving model
5 0.791801905632 1.02881228924 saving model
6 0.726821184158 1.02935612202
7 0.69335552454 1.02487182617 saving model
8 0.650586885214 1.01384401321 saving model
9 0.63991317749 1.01561462879
10 0.672572910786 1.01798307896
11 0.617586043477 1.05611073971
12 0.585463398695 1.00653100014 saving model
13 0.580250346661 1.0361199379
14 0.603917223215 1.05527877808
15 0.671192145348 1.16271960735
16 0.714358484745 1.05628979206
17 0.584880554676 1.02560043335
18 0.523000979424 1.02231752872
19 0.446311223507 0.997093975544 saving model
20 0.419195911288 1.02115225792
21 0.386922249198 1.01319909096
22 0.371322667599 1.01201415062
23 0.358167162538 1.03499412537
24 0.375136846304 1.07804059982
25 0.439683270454 1.07376337051
26 0.52608743012 1.06702923775
27 0.465225151181 1.0499266386
28 0.392720448971 1.04374039173
29 0.32711777091 1.00731945038
30 0.292177549005 1.02120149136
31 0.261616818607 1.02425158024
32 0.270871789753 1.04315495491
33 0.272191590071 1.04688310623
34 0.264969716966 1.03807723522
35 0.259635344148 1.03272974491
36 0.250355967879 1.02069795132
37 0.248006333411 1.04371893406
38 0.277366118133 1.10137963295
39 0.392973868549 1.02855527401
40 0.326600590348 1.08377039433
41 0.270942354202 1.04042446613
42 0.224191562831 1.04080533981
43 0.196117801964 1.0448820591
44 0.196825321019 1.05703771114
45 0.236810283363 1.04980576038
46 0.270032003522 1.04822862148
47 0.274465714395 1.06218910217
48 0.206094962358 1.04823386669
49 0.157247962058 1.03767037392
model number is: 36100
mae:  1.03279284819
corr:  0.611014955005
mult_acc:  0.31341
mult f_score:  0.33458
Confusion Matrix :
[[279 100]
 [ 86 221]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76438   0.73615   0.75000       379
        True    0.68847   0.71987   0.70382       307

   micro avg    0.72886   0.72886   0.72886       686
   macro avg    0.72643   0.72801   0.72691       686
weighted avg    0.73041   0.72886   0.72933       686

Accuracy  0.728862973761
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 300, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [88, 48, 8], 'momentum': 0.1}, {'shapes': 32, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}]
0 1.24991675615 1.26502525806 saving model
1 1.02786857486 1.10132944584 saving model
2 0.851979151368 1.0234555006 saving model
3 0.814915958047 1.019947052 saving model
4 0.717436718941 0.969343960285 saving model
5 0.695380783081 1.01795589924
6 0.649390304089 0.942623615265 saving model
7 0.621488519013 1.04951858521
8 0.63185095787 0.933436632156 saving model
9 0.566144369543 0.962556421757
10 0.516112664342 0.955712974072
11 0.526104550064 0.962479233742
12 0.489267492294 0.980212748051
13 0.4689435184 0.976655125618
14 0.484069629014 0.96820217371
15 0.517536976933 1.01456797123
16 0.525443221629 0.98496389389
17 0.473052507639 0.975686967373
18 0.453235137463 0.974574506283
19 0.427881707251 0.980890989304
20 0.438138507307 0.945077717304
21 0.445411987603 0.943332016468
22 0.417039330304 0.935154259205
23 0.41908505559 0.9530210495
24 0.431721636653 1.00136995316
25 0.474007025361 1.02465474606
26 0.480587440729 1.01951444149
27 0.504391269386 1.00603640079
28 0.516743117571 1.01654374599
29 0.488219814003 0.963084578514
30 0.423412580788 0.994659245014
31 0.412022435665 0.959375083447
32 0.411674742401 0.959237337112
33 0.377186204493 0.94154804945
34 0.382862845063 0.937577843666
35 0.359588842094 0.922015070915 saving model
36 0.355941383541 0.964313626289
37 0.353106850386 0.924382448196
38 0.361286596954 0.912143051624 saving model
39 0.384631770849 0.925685822964
40 0.374388970435 0.944262802601
41 0.34918294102 0.959972918034
42 0.367867141962 0.92198908329
43 0.371486073732 0.942654848099
44 0.347369405627 0.952855348587
45 0.363550433517 0.946887493134
46 0.375842741132 0.947134077549
47 0.37319663614 0.943961203098
48 0.41706815809 0.99233341217
49 0.447835665941 1.05500364304
model number is: 86637
mae:  1.07555980992
corr:  0.58938424192
mult_acc:  0.31341
mult f_score:  0.31938
Confusion Matrix :
[[248 131]
 [ 73 234]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77259   0.65435   0.70857       379
        True    0.64110   0.76221   0.69643       307

   micro avg    0.70262   0.70262   0.70262       686
   macro avg    0.70684   0.70828   0.70250       686
weighted avg    0.71374   0.70262   0.70314       686

Accuracy  0.702623906706
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 256, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [32, 16, 8], 'momentum': 0.6}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}, {'shapes': 128, 'drop': 0.2}, {'shapes': 64, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}]
0 1.31920068264 1.41414773464 saving model
1 1.30725483894 1.39822041988 saving model
2 1.29177007675 1.37589204311 saving model
3 1.25281949043 1.32632243633 saving model
4 1.17336099148 1.21661102772 saving model
5 1.08155620098 1.1402438879 saving model
6 1.01290411949 1.08102798462 saving model
7 0.972496294975 1.09516942501
8 0.929407298565 1.05777990818 saving model
9 0.910881865025 1.02811574936 saving model
10 0.845008969307 1.00713932514 saving model
11 0.844175553322 1.0242511034
12 0.839048099518 1.03225803375
13 0.812255728245 1.01229941845
14 0.78479834795 1.00546979904 saving model
15 0.747744739056 0.994676053524 saving model
16 0.728845870495 0.987494587898 saving model
17 0.717626321316 0.974899470806 saving model
18 0.691532611847 0.990380942822
19 0.692556989193 0.99464392662
20 0.676764440536 0.974408626556 saving model
21 0.683144104481 0.986396193504
22 0.666059291363 0.984227895737
23 0.667735207081 0.978718996048
24 0.635228967667 0.98780477047
25 0.618523013592 0.986151278019
26 0.603853094578 0.96583122015 saving model
27 0.59074010849 0.968139410019
28 0.577315187454 0.979320406914
29 0.562870657444 0.978411257267
30 0.555430483818 0.988576471806
31 0.556295657158 0.990523397923
32 0.555125039816 0.990926802158
33 0.559265160561 1.01376712322
34 0.567639422417 0.982219338417
35 0.533778381348 0.998251080513
36 0.527229952812 0.990580976009
37 0.500252705812 0.985148251057
38 0.491551220417 0.987032711506
39 0.47335178256 0.992497444153
40 0.47088419795 0.996484696865
41 0.479086714983 0.989434301853
42 0.465796244144 0.979985535145
43 0.481447321177 0.993127346039
44 0.505310970545 0.983053088188
45 0.487849479914 1.00675034523
46 0.474017083645 0.978271067142
47 0.453915429115 0.960934102535 saving model
48 0.443061387539 0.974515199661
49 0.440212714672 0.960561692715 saving model
model number is: 77880
mae:  1.05389305813
corr:  0.605547580165
mult_acc:  0.30175
mult f_score:  0.3108
Confusion Matrix :
[[268 111]
 [ 83 224]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76353   0.70712   0.73425       379
        True    0.66866   0.72964   0.69782       307

   micro avg    0.71720   0.71720   0.71720       686
   macro avg    0.71609   0.71838   0.71603       686
weighted avg    0.72107   0.71720   0.71794       686

Accuracy  0.717201166181
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 64, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [156, 80, 32], 'momentum': 0.3}, {'shapes': 128, 'drop': 0.2}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.5}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.7}]
0 1.27431676388 1.17562794685 saving model
1 1.15735079646 1.20534682274
2 1.02207789421 1.11940979958 saving model
3 0.926119583845 1.06130087376 saving model
4 0.83768632412 1.02617120743 saving model
5 0.789673507214 1.01275277138 saving model
6 0.728671914339 0.994017362595 saving model
7 0.689491504431 0.994953393936
8 0.659051996469 1.03276073933
9 0.640349626541 0.996501386166
10 0.609398889542 0.959644377232 saving model
11 0.565153539181 0.962291777134
12 0.555562013388 1.01352465153
13 0.608546447754 1.0514793396
14 0.662153923512 1.02617633343
15 0.618392211199 0.972268164158
16 0.573258078098 0.979068934917
17 0.50060981214 0.969153344631
18 0.455233380198 0.924239933491 saving model
19 0.441936951876 0.968698740005
20 0.445931202173 0.99219930172
21 0.442676749825 0.956238031387
22 0.418624165654 0.947992563248
23 0.405834162235 0.982825160027
24 0.435694530606 0.971256017685
25 0.482445934415 0.984641253948
26 0.425867274404 0.974605858326
27 0.390665534139 0.983158707619
28 0.382458609343 0.948526442051
29 0.382211735845 0.969353973866
30 0.36267978549 0.949009597301
31 0.364000549912 0.981009662151
32 0.361083176732 0.977039456367
33 0.348035174608 0.955962359905
34 0.320594194531 0.935589015484
35 0.323617231846 0.960140228271
36 0.31470451355 0.947155952454
37 0.319347159564 0.962090432644
38 0.315888005495 0.945194303989
39 0.306368130445 0.962522149086
40 0.308831810951 0.966641366482
41 0.320660570264 0.950819909573
42 0.343030661345 0.97484344244
43 0.353888052702 0.997100830078
44 0.400840392709 0.966167747974
45 0.36533088088 0.98632401228
46 0.341818380356 0.952823579311
47 0.320357477665 0.970626175404
48 0.324202430248 0.978082120419
49 0.335036513209 0.973170936108
model number is: 10092
mae:  1.07457970339
corr:  0.584623236834
mult_acc:  0.30758
mult f_score:  0.32327
Confusion Matrix :
[[277 102]
 [ 81 226]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77374   0.73087   0.75170       379
        True    0.68902   0.73616   0.71181       307

   micro avg    0.73324   0.73324   0.73324       686
   macro avg    0.73138   0.73351   0.73175       686
weighted avg    0.73583   0.73324   0.73385       686

Accuracy  0.733236151603
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 400, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [64, 32, 8], 'momentum': 0.3}, {'shapes': 32, 'drop': 0.2}, {'shapes': 256, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}, {'shapes': 64, 'drop': 0.5}]
0 1.28850546777 1.19370341301 saving model
1 1.0299347043 1.10477638245 saving model
2 0.947581388056 1.03244125843 saving model
3 0.846839912236 1.02309310436 saving model
4 0.819379737973 0.98946249485 saving model
5 0.721705889702 0.986570179462 saving model
6 0.666519269347 0.979680418968 saving model
7 0.678689037263 0.958688616753 saving model
8 0.616592174023 0.995145857334
9 0.558021568507 0.983275830746
10 0.535804054886 0.99833792448
11 0.548318148404 1.04559826851
12 0.541480267048 1.03488218784
13 0.551787532866 0.977314710617
14 0.521568191051 0.94027775526 saving model
15 0.488779032603 0.968786001205
16 0.459487760812 0.934794664383 saving model
17 0.409531161934 0.919357895851 saving model
18 0.396759159118 0.945433020592
19 0.372558505088 0.953011333942
20 0.350480095297 0.945309996605
21 0.348364441097 0.952878415585
22 0.336542268097 0.91696947813 saving model
23 0.345157074183 0.948592662811
24 0.359857600927 0.944110870361
25 0.34151969105 0.93319183588
26 0.369715985656 0.970118284225
27 0.3689335756 0.948398649693
28 0.354301340133 0.946356117725
29 0.321201194078 0.943481326103
30 0.335743626952 0.928638696671
31 0.309624357149 0.937360227108
32 0.307480555028 0.933980643749
33 0.301539251208 0.957931995392
34 0.321124113724 0.933806121349
35 0.297040131688 0.969411432743
36 0.286341466382 0.979021370411
37 0.291480356455 0.964205026627
38 0.297206351161 0.952111363411
39 0.300851709396 0.967624008656
40 0.290665079281 0.943706572056
41 0.290735935792 0.967160820961
42 0.266592603549 0.958382487297
43 0.279964049533 0.96353083849
44 0.290264352784 0.956415653229
45 0.273991737142 0.953930795193
46 0.294645247981 0.960915923119
47 0.277563869953 0.948529183865
48 0.285000195354 0.967238783836
49 0.260517322272 0.95925205946
model number is: 3318
mae:  0.996514414745
corr:  0.628372492813
mult_acc:  0.34111
mult f_score:  0.35145
Confusion Matrix :
[[289  90]
 [ 85 222]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77273   0.76253   0.76760       379
        True    0.71154   0.72313   0.71729       307

   micro avg    0.74490   0.74490   0.74490       686
   macro avg    0.74213   0.74283   0.74244       686
weighted avg    0.74534   0.74490   0.74508       686

Accuracy  0.744897959184
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 64, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [156, 48, 80], 'momentum': 0.3}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}, {'shapes': 256, 'drop': 0.5}]
0 1.16926215738 1.09899389744 saving model
1 0.955541163683 1.07591998577 saving model
2 0.834642244875 1.03275668621 saving model
3 0.741249643266 1.01636576653 saving model
4 0.6939829126 0.972845375538 saving model
5 0.675783856958 1.04662752151
6 0.595346295089 0.97304713726
7 0.586111199856 0.941346943378 saving model
8 0.554774951935 0.952538490295
9 0.567785186321 0.941990077496
10 0.515671462566 0.908329844475 saving model
11 0.499517096579 0.985939204693
12 0.524592522532 1.04543685913
13 0.51047116816 0.954283177853
14 0.489562126249 0.965402662754
15 0.469258153439 1.00201153755
16 0.436420662701 0.971664249897
17 0.424141418189 0.909133017063
18 0.47407020852 0.947619020939
19 0.445668014884 0.931400060654
20 0.48855606541 0.985122442245
21 0.543158701062 1.00511443615
22 0.507229568064 0.997939705849
23 0.434437794238 0.985713005066
24 0.390063564479 0.986594676971
25 0.412152852118 0.976250112057
26 0.404185369611 0.956427514553
27 0.4199802652 1.00699794292
28 0.425399497151 1.04572868347
29 0.387432260811 0.983385503292
30 0.371761848778 0.95434564352
31 0.369643632323 0.968277037144
32 0.377386362106 0.954194962978
33 0.392090705037 0.983227968216
34 0.396599879861 1.00891113281
35 0.416204933822 0.964527308941
36 0.358856628463 0.976384997368
37 0.367520109564 0.985659897327
38 0.346042137966 0.97237175703
39 0.344713690132 0.976669371128
40 0.355075065792 0.986521780491
41 0.3480384022 1.00854861736
42 0.389607535303 1.00739443302
43 0.412363420054 0.976158499718
44 0.391129744053 0.98063737154
45 0.424777699262 1.00479102135
46 0.453410502523 1.06897091866
47 0.472807661444 0.992265582085
48 0.416311284155 0.971309363842
49 0.361135327816 1.01861441135
model number is: 88204
mae:  1.08220357146
corr:  0.613530823716
mult_acc:  0.28717
mult f_score:  0.30164
Confusion Matrix :
[[263 116]
 [ 67 240]]
Classification Report :
              precision    recall  f1-score   support

       False    0.79697   0.69393   0.74189       379
        True    0.67416   0.78176   0.72398       307

   micro avg    0.73324   0.73324   0.73324       686
   macro avg    0.73556   0.73785   0.73294       686
weighted avg    0.74201   0.73324   0.73388       686

Accuracy  0.733236151603
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [256, 8, 16], 'momentum': 0.6}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.5}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.2}, {'shapes': 256, 'drop': 0.7}]
0 1.28630828857 1.21053302288 saving model
1 1.09321507215 1.19638431072 saving model
2 0.979113531113 1.08673250675 saving model
3 0.875143128633 1.03204703331 saving model
4 0.813953095675 1.03392577171
5 0.768929904699 1.01359975338 saving model
6 0.691541355848 0.989769876003 saving model
7 0.636694270372 1.00501191616
8 0.584436160326 1.01266658306
9 0.546449965239 0.992253303528
10 0.540876689553 1.00408184528
11 0.488992029428 0.960150718689 saving model
12 0.476516413689 0.966558039188
13 0.474810403585 0.973562717438
14 0.445901235938 1.00392901897
15 0.44248650372 1.02167904377
16 0.476328629255 1.04377543926
17 0.531895884871 0.976368606091
18 0.508317992091 0.982792079449
19 0.505832198262 1.06974065304
20 0.559456545115 1.00135791302
21 0.537470975518 0.969062924385
22 0.420126205683 1.00133705139
23 0.401668411493 0.940588712692 saving model
24 0.396419745684 0.97454315424
25 0.409474667907 1.03116369247
26 0.498422113061 0.952196657658
27 0.384779697657 0.9857878685
28 0.367834433913 0.967717349529
29 0.330329394341 0.959230065346
30 0.334816846251 0.949578285217
31 0.326089602709 0.968579649925
32 0.331871563196 0.955303072929
33 0.337259188294 0.973382413387
34 0.347359463573 0.963369190693
35 0.343330064416 0.951919019222
36 0.361336800456 0.954133808613
37 0.324165788293 0.95965641737
38 0.314494138956 0.948843121529
39 0.285882350802 0.953064620495
40 0.290478478372 0.956231534481
41 0.303606063128 0.953745305538
42 0.320757454634 0.952355921268
43 0.303332671523 0.955353438854
44 0.306682372093 0.941131711006
45 0.301683965325 0.939981102943 saving model
46 0.312085989118 0.965732038021
47 0.326379972696 0.93277913332 saving model
48 0.306553390622 0.942054688931
49 0.315851026773 0.945118188858
model number is: 31900
mae:  1.09607285435
corr:  0.569199118042
mult_acc:  0.29446
mult f_score:  0.3254
Confusion Matrix :
[[263 116]
 [ 87 220]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75143   0.69393   0.72154       379
        True    0.65476   0.71661   0.68429       307

   micro avg    0.70408   0.70408   0.70408       686
   macro avg    0.70310   0.70527   0.70291       686
weighted avg    0.70817   0.70408   0.70487       686

Accuracy  0.704081632653
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 256, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [156, 64, 48], 'momentum': 0.6}, {'shapes': 32, 'drop': 0.2}, {'shapes': 128, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}]
0 1.22736176252 1.22740018368 saving model
1 0.983608317375 1.0951821804 saving model
2 0.844145381451 1.06841230392 saving model
3 0.773688232899 1.0048327446 saving model
4 0.687866693735 0.97278803587 saving model
5 0.619282287359 1.02075564861
6 0.602494460344 1.0148307085
7 0.577379921079 0.982532858849
8 0.492786753178 0.974979043007
9 0.498772624135 1.02951300144
10 0.497205385566 0.963554561138 saving model
11 0.594934856892 1.00409150124
12 0.694938796759 1.01808834076
13 0.611395171285 0.896954596043 saving model
14 0.435406792164 0.938556849957
15 0.348276153207 0.89802968502
16 0.339065229893 0.923810720444
17 0.394927501678 1.00332522392
18 0.486402875185 0.930873692036
19 0.392789453268 0.963692724705
20 0.312663990259 0.899406313896
21 0.243920147419 0.914845168591
22 0.252646429837 0.939617395401
23 0.319413036108 0.978299856186
24 0.315801982582 1.02558946609
25 0.383210468292 0.953274130821
26 0.263551047444 0.923138618469
27 0.207342414558 0.903631567955
28 0.227082259953 0.909855484962
29 0.233066140115 0.950314640999
30 0.248958417773 0.930734753609
31 0.200211787224 0.956630170345
32 0.275779566169 0.917010128498
33 0.263358640671 0.966881632805
34 0.21283043474 0.913648426533
35 0.162418627739 0.934752523899
36 0.153998623043 0.939217865467
37 0.205195955932 0.919040977955
38 0.171442481875 0.931040287018
39 0.198753461242 0.960488140583
40 0.202819561958 0.949375629425
41 0.226508761942 0.941968500614
42 0.173256908357 0.93098282814
43 0.184100064635 0.928849816322
44 0.195055800676 0.957987606525
45 0.190077726543 0.951795578003
46 0.15914221108 0.921464860439
47 0.156579489261 0.922601103783
48 0.202430780977 0.961405575275
49 0.195157444477 0.961293160915
model number is: 13122
mae:  1.02142973765
corr:  0.589903600002
mult_acc:  0.30904
mult f_score:  0.32389
Confusion Matrix :
[[298  81]
 [ 99 208]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75063   0.78628   0.76804       379
        True    0.71972   0.67752   0.69799       307

   micro avg    0.73761   0.73761   0.73761       686
   macro avg    0.73518   0.73190   0.73301       686
weighted avg    0.73680   0.73761   0.73669       686

Accuracy  0.737609329446
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 256, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [256, 8, 48], 'momentum': 0.9}, {'shapes': 64, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}]
0 1.25781011581 1.21699202061 saving model
1 0.993652188778 1.09651446342 saving model
2 0.888677841425 1.1087552309
3 0.842540836334 0.993722259998 saving model
4 0.73426052928 0.968628704548 saving model
5 0.677088946104 0.979762911797
6 0.64059202075 0.967015087605 saving model
7 0.579142564535 0.986115515232
8 0.539361253381 0.955300211906 saving model
9 0.498792651296 0.976229131222
10 0.465490320325 0.924713909626 saving model
11 0.419808092713 0.941496729851
12 0.404602655768 0.912265837193 saving model
13 0.381903284788 0.958523631096
14 0.403547528386 1.01579022408
15 0.458759444952 1.06650006771
16 0.522855609655 0.954094529152
17 0.448987182975 0.956732928753
18 0.444678759575 0.979601025581
19 0.439170396328 0.967695355415
20 0.490535861254 1.09453523159
21 0.583188578486 1.01704788208
22 0.448144644499 0.951839506626
23 0.363693991303 0.958324313164
24 0.308978465199 0.981013417244
25 0.319342124462 0.95577442646
26 0.391748216748 1.00348639488
27 0.405767005682 0.968631148338
28 0.324551360309 0.980086565018
29 0.34872353971 0.970954596996
30 0.31692493856 0.997258663177
31 0.391621914506 0.976717591286
32 0.352783578634 0.987294495106
33 0.321384730935 0.977171123028
34 0.266386322677 0.967048048973
35 0.271260488033 0.990906178951
36 0.31145760119 0.961021065712
37 0.302380308509 0.989213585854
38 0.292390689254 0.987185418606
39 0.273944461346 0.969576835632
40 0.269362285733 0.980145812035
41 0.282783567905 0.970572769642
42 0.262418545783 1.00483000278
43 0.258483782411 0.967732012272
44 0.270195499063 0.983746767044
45 0.2745210886 0.941388368607
46 0.258984470367 0.989024996758
47 0.258666168153 0.966965198517
48 0.251760855317 0.96873831749
49 0.254565298557 0.961753249168
model number is: 13196
mae:  1.07953904491
corr:  0.571846123824
mult_acc:  0.28134
mult f_score:  0.28951
Confusion Matrix :
[[274 105]
 [ 95 212]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74255   0.72296   0.73262       379
        True    0.66877   0.69055   0.67949       307

   micro avg    0.70845   0.70845   0.70845       686
   macro avg    0.70566   0.70675   0.70605       686
weighted avg    0.70953   0.70845   0.70884       686

Accuracy  0.708454810496
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 300, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [128, 48, 80], 'momentum': 0.1}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}, {'shapes': 32, 'drop': 0.7}, {'shapes': 256, 'drop': 0.5}]
0 1.28971449137 1.29750919342 saving model
1 1.06431182623 1.13423979282 saving model
2 0.918626523018 1.04604697227 saving model
3 0.7976174891 1.00013244152 saving model
4 0.703331023455 0.974378883839 saving model
5 0.636914736032 0.998115599155
6 0.599101573229 0.993808269501
7 0.621570652723 1.0207170248
8 0.596451860666 0.970077097416 saving model
9 0.492852449417 0.944741845131 saving model
10 0.475969171524 0.969504952431
11 0.457511720061 0.983578562737
12 0.438313356042 0.95939218998
13 0.411247199774 0.971306741238
14 0.422251367569 0.962944626808
15 0.452354565263 1.00797724724
16 0.510287243128 1.17871439457
17 0.611815607548 0.984335005283
18 0.521811270714 1.04455256462
19 0.494157153368 0.966408193111
20 0.476323065162 0.964428603649
21 0.466047951579 0.937240421772 saving model
22 0.369553306699 0.961583852768
23 0.327790644765 0.958171188831
24 0.328620451689 0.956344842911
25 0.346787515283 0.930166900158 saving model
26 0.331581225991 0.912100851536 saving model
27 0.378778424859 0.925909996033
28 0.443929490447 0.992884218693
29 0.410985860229 1.00486493111
30 0.404784563184 0.968168914318
31 0.403531241417 0.985868811607
32 0.361324444413 0.983975946903
33 0.368670141697 0.941553592682
34 0.378692263365 0.957229018211
35 0.415573209524 0.976932168007
36 0.334566479921 0.983431100845
37 0.32403729856 0.937840640545
38 0.345665019751 0.928549528122
39 0.377467903495 0.992436408997
40 0.399523097277 0.927054286003
41 0.368666918576 0.996936500072
42 0.352994281054 0.972398161888
43 0.332547751069 0.949713885784
44 0.30960778594 0.94637709856
45 0.304072977602 0.928548812866
46 0.30685377419 0.956757128239
47 0.308722215891 0.973625481129
48 0.304261684418 0.944035410881
49 0.28678021729 0.940117537975
model number is: 34111
mae:  1.05193863993
corr:  0.612970938805
mult_acc:  0.31633
mult f_score:  0.31799
Confusion Matrix :
[[284  95]
 [ 84 223]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77174   0.74934   0.76037       379
        True    0.70126   0.72638   0.71360       307

   micro avg    0.73907   0.73907   0.73907       686
   macro avg    0.73650   0.73786   0.73699       686
weighted avg    0.74020   0.73907   0.73944       686

Accuracy  0.739067055394
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 64, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [128, 48, 8], 'momentum': 0.8}, {'shapes': 64, 'drop': 0.5}, {'shapes': 128, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}]
0 1.31423151493 1.37799453735 saving model
1 1.24011232853 1.25074923038 saving model
2 1.06893570423 1.18768048286 saving model
3 1.008928442 1.14268934727 saving model
4 0.978146791458 1.16049611568
5 0.932338166237 1.09522557259 saving model
6 0.892916107178 1.09280014038 saving model
7 0.864187133312 1.06596505642 saving model
8 0.811488950253 1.03971779346 saving model
9 0.784486961365 1.0278506279 saving model
10 0.751428246498 1.01585638523 saving model
11 0.727733922005 1.00666499138 saving model
12 0.699093461037 0.9897326231 saving model
13 0.664535164833 0.996727824211
14 0.647378897667 0.994631290436
15 0.636942052841 0.987995684147 saving model
16 0.604875695705 1.01003694534
17 0.59442139864 1.03373348713
18 0.602678525448 0.997370958328
19 0.548620820045 0.986542522907 saving model
20 0.521580266953 0.995484054089
21 0.48646312952 0.996280968189
22 0.494343674183 0.999040603638
23 0.442150682211 1.01356303692
24 0.420236074924 1.00855886936
25 0.416695874929 1.0140453577
26 0.398919421434 1.02206778526
27 0.424206739664 1.00612425804
28 0.394684392214 1.03190326691
29 0.392383509874 1.02621722221
30 0.391363430023 1.02605903149
31 0.36270853281 1.02706539631
32 0.361004811525 1.02197051048
33 0.32644007206 1.01011478901
34 0.321035325527 1.03661048412
35 0.310745978355 1.02768850327
36 0.291146034002 1.01243114471
37 0.294993978739 1.00787436962
38 0.290487629175 1.00225794315
39 0.284056395292 1.02155005932
40 0.321367657185 1.03357744217
41 0.324500524998 1.00969696045
42 0.295683568716 1.03146767616
43 0.298209798336 1.02528977394
44 0.272606962919 1.01947247982
45 0.267278409004 0.992294371128
46 0.244951790571 0.993315756321
47 0.25318030715 1.00359225273
48 0.238862803578 1.00418901443
49 0.247623771429 1.00093770027
model number is: 64144
mae:  0.998776290858
corr:  0.624089164112
mult_acc:  0.30758
mult f_score:  0.31171
Confusion Matrix :
[[313  66]
 [106 201]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74702   0.82586   0.78446       379
        True    0.75281   0.65472   0.70035       307

   micro avg    0.74927   0.74927   0.74927       686
   macro avg    0.74991   0.74029   0.74240       686
weighted avg    0.74961   0.74927   0.74682       686

Accuracy  0.749271137026
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 256, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [128, 32, 80], 'momentum': 0.5}, {'shapes': 128, 'drop': 0.0}, {'shapes': 128, 'drop': 0.7}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.5}]
0 1.30196797848 1.36533486843 saving model
1 1.12421014309 1.10448133945 saving model
2 0.985169368982 1.08139812946 saving model
3 0.877820110321 1.02543735504 saving model
4 0.792036700249 0.984889864922 saving model
5 0.777828091383 1.11084389687
6 0.767038589716 1.03198158741
7 0.681096416712 1.02325606346
8 0.642633712292 1.02353000641
9 0.637573632598 1.05241918564
10 0.678649175167 1.02540576458
11 0.683277183771 1.05540883541
12 0.633680695295 0.998864233494
13 0.560994043946 0.959498822689 saving model
14 0.506231209636 0.939916014671 saving model
15 0.492092475295 0.966428399086
16 0.464351683855 1.00113856792
17 0.470288985968 0.985738277435
18 0.485610929132 0.947362959385
19 0.471126043797 0.983960688114
20 0.439293012023 1.01263737679
21 0.446698799729 1.01568746567
22 0.434618580341 0.961923837662
23 0.421311885118 1.00675201416
24 0.400370052457 0.99740254879
25 0.394898441434 0.99810385704
26 0.392243683338 0.976651012897
27 0.382823210955 0.988239347935
28 0.385756936669 0.96329241991
29 0.378523853421 1.00370907784
30 0.357769811153 0.958481907845
31 0.366026911139 0.97587454319
32 0.373068720102 0.993014752865
33 0.356264203787 0.979872047901
34 0.330986171961 0.956531107426
35 0.344930377603 0.961479306221
36 0.348535275459 0.986944079399
37 0.347753500938 0.955966114998
38 0.345378923416 0.970919132233
39 0.329827830195 0.966725468636
40 0.327365875244 0.982496798038
41 0.341789734364 0.953451812267
42 0.344048431516 0.955033361912
43 0.327730572224 0.967660605907
44 0.31837362051 0.979447007179
45 0.32980568856 0.960993885994
46 0.334323117137 0.949909567833
47 0.318314445019 0.929239869118 saving model
48 0.315743741393 0.973270714283
49 0.32007330358 0.937761843204
model number is: 92173
mae:  1.04695647706
corr:  0.591938996738
mult_acc:  0.30029
mult f_score:  0.32016
Confusion Matrix :
[[277 102]
 [ 86 221]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76309   0.73087   0.74663       379
        True    0.68421   0.71987   0.70159       307

   micro avg    0.72595   0.72595   0.72595       686
   macro avg    0.72365   0.72537   0.72411       686
weighted avg    0.72779   0.72595   0.72647       686

Accuracy  0.725947521866
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 64, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [256, 8, 16], 'momentum': 0.8}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}]
0 1.31264448166 1.33937311172 saving model
1 1.16352238655 1.20334744453 saving model
2 1.02440851927 1.14515888691 saving model
3 0.97711597681 1.12452280521 saving model
4 0.920930325985 1.0945161581 saving model
5 0.875266695023 1.04754078388 saving model
6 0.804632902145 1.00158548355 saving model
7 0.761894869804 1.00440478325
8 0.717668187618 1.02530801296
9 0.69479445219 1.04504978657
10 0.725016117096 1.00772964954
11 0.700760161877 1.01194143295
12 0.663948965073 0.999699294567 saving model
13 0.58780632019 1.00444662571
14 0.537115877867 1.00820052624
15 0.522456240654 1.0027525425
16 0.500593030453 1.00469982624
17 0.476966863871 1.0060390234
18 0.48077608943 1.05811440945
19 0.467796128988 1.04045629501
20 0.442973661423 1.00274074078
21 0.400593107939 1.01950335503
22 0.394636523724 1.02056050301
23 0.365986990929 1.01550900936
24 0.318713897467 1.04124295712
25 0.335650360584 1.00420486927
26 0.332342547178 1.05179131031
27 0.369394886494 1.01861298084
28 0.321504199505 1.05223965645
29 0.27808803916 1.01767885685
30 0.248554781079 1.02149116993
31 0.238466396928 1.01602351665
32 0.237859982252 1.02751290798
33 0.229913303256 1.01961016655
34 0.213872024417 1.0001796484
35 0.214233189821 1.02038109303
36 0.216068062186 1.02128779888
37 0.249241864681 1.01586544514
38 0.203135821223 1.00540363789
39 0.196784958243 0.98581713438 saving model
40 0.19730233252 1.03423309326
41 0.204458534718 1.00057601929
42 0.201778268814 1.00657951832
43 0.187839964032 1.03711998463
44 0.191060832143 0.989269435406
45 0.185370737314 1.01395392418
46 0.177173542976 1.02092587948
47 0.199988734722 1.03458416462
48 0.182507151365 1.01140189171
49 0.176042953134 1.02215456963
model number is: 89318
mae:  1.07885940395
corr:  0.569560905431
mult_acc:  0.29009
mult f_score:  0.30219
Confusion Matrix :
[[281  98]
 [ 98 209]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74142   0.74142   0.74142       379
        True    0.68078   0.68078   0.68078       307

   micro avg    0.71429   0.71429   0.71429       686
   macro avg    0.71110   0.71110   0.71110       686
weighted avg    0.71429   0.71429   0.71429       686

Accuracy  0.714285714286
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [256, 8, 64], 'momentum': 0.9}, {'shapes': 32, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.7}, {'shapes': 32, 'drop': 0.0}]
0 1.23018119335 1.13627314568 saving model
1 0.96188134551 1.10663187504 saving model
2 0.850148171186 1.00835442543 saving model
3 0.73894726634 0.977762162685 saving model
4 0.662284904718 0.953278660774 saving model
5 0.638502901793 0.953815281391
6 0.588956576586 1.02675366402
7 0.540359014273 0.982810914516
8 0.520221480727 1.00016868114
9 0.572036790848 1.03334474564
10 0.518084308505 0.962518036366
11 0.523190817237 0.920908212662 saving model
12 0.516452738643 1.03397190571
13 0.536183145642 1.05866253376
14 0.502133327723 0.960292637348
15 0.3682621032 0.940715551376
16 0.310600668192 0.93848335743
17 0.289426341653 0.951081871986
18 0.307636520267 0.922425270081
19 0.326910591125 0.984568893909
20 0.303611324728 0.967900037766
21 0.276887476444 0.930705368519
22 0.302378305793 0.930939495564
23 0.317917266488 0.930022776127
24 0.29063565731 0.934602320194
25 0.246548388898 0.986997365952
26 0.278381969035 0.921154022217
27 0.252359364927 0.885131418705 saving model
28 0.224980406463 0.921132206917
29 0.20737914294 0.959452927113
30 0.228679512441 0.980003476143
31 0.269631180167 0.928345382214
32 0.244896821678 0.883526027203 saving model
33 0.210398694873 0.968925774097
34 0.218728542328 0.950121700764
35 0.21438138932 0.923210322857
36 0.198699145019 0.910199284554
37 0.168907421827 0.94250869751
38 0.173075395077 0.941310405731
39 0.156598633528 0.953430593014
40 0.192180331051 0.904595077038
41 0.192073826492 0.937435626984
42 0.179814463854 0.94400292635
43 0.147627203166 0.946853995323
44 0.165151046216 0.923381507397
45 0.165468092263 0.930046498775
46 0.15835327059 0.9491943717
47 0.160110610723 0.956043064594
48 0.151414415985 0.931933403015
49 0.137266306579 0.930833220482
model number is: 16660
mae:  1.02442971703
corr:  0.595115324479
mult_acc:  0.35131
mult f_score:  0.35264
Confusion Matrix :
[[288  91]
 [ 91 216]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75989   0.75989   0.75989       379
        True    0.70358   0.70358   0.70358       307

   micro avg    0.73469   0.73469   0.73469       686
   macro avg    0.73174   0.73174   0.73174       686
weighted avg    0.73469   0.73469   0.73469       686

Accuracy  0.734693877551
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 300, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [128, 64, 32], 'momentum': 0.8}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.2}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.0}]
0 1.17927818298 1.09208083153 saving model
1 0.912735003233 0.978991508484 saving model
2 0.753751266748 0.93279671669 saving model
3 0.667853919417 0.964360058308
4 0.585319251567 0.926367878914 saving model
5 0.582472983748 0.945905387402
6 0.555425059795 1.07715547085
7 0.522934224457 1.02926301956
8 0.451454145461 0.93290823698
9 0.423840277642 0.976076066494
10 0.455510180444 1.00481832027
11 0.475194945931 0.949133753777
12 0.388220867515 0.920983195305 saving model
13 0.32826634869 0.942488491535
14 0.340451472998 0.960408091545
15 0.347181881592 0.990608155727
16 0.422559975833 0.948908090591
17 0.446568256617 0.959866404533
18 0.352925947309 0.962325632572
19 0.311873564497 0.971483647823
20 0.291601088643 0.924723803997
21 0.23960794881 0.911605238914 saving model
22 0.239356974512 0.898005902767 saving model
23 0.266020778939 0.921669125557
24 0.30255603306 0.926932096481
25 0.31139498055 0.929802715778
26 0.286744699627 0.913097560406
27 0.243124436215 0.912678897381
28 0.218515060842 0.94020229578
29 0.275674504042 0.898859083652
30 0.281094843894 0.933424770832
31 0.208623284101 0.904003381729
32 0.196865183488 0.927280962467
33 0.219084096327 0.92155957222
34 0.211293945462 0.915202021599
35 0.213389636576 0.918249487877
36 0.205520180985 0.939066171646
37 0.210819125921 0.906288087368
38 0.21106264703 0.916087985039
39 0.188415024057 0.92382478714
40 0.191453106701 0.906634688377
41 0.202369417064 0.858967065811 saving model
42 0.200692035258 0.924596369267
43 0.194365441054 0.892626881599
44 0.182472863607 0.910260856152
45 0.198943384923 0.875526130199
46 0.215332680941 0.905530393124
47 0.240773474798 0.921042144299
48 0.188158421963 0.917919039726
49 0.177083799616 0.927848339081
model number is: 80489
mae:  1.00580789333
corr:  0.62117053199
mult_acc:  0.33819
mult f_score:  0.3506
Confusion Matrix :
[[283  96]
 [ 83 224]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77322   0.74670   0.75973       379
        True    0.70000   0.72964   0.71451       307

   micro avg    0.73907   0.73907   0.73907       686
   macro avg    0.73661   0.73817   0.73712       686
weighted avg    0.74045   0.73907   0.73950       686

Accuracy  0.739067055394
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 64, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [156, 8, 64], 'momentum': 0.6}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.5}, {'shapes': 128, 'drop': 0.2}]
0 1.32422657013 1.40481042862 saving model
1 1.29241480827 1.36036169529 saving model
2 1.23437862396 1.2709171772 saving model
3 1.10168700218 1.16054832935 saving model
4 1.01729844809 1.18445634842
5 0.986253762245 1.11707925797 saving model
6 0.90864713192 1.10149931908 saving model
7 0.874179124832 1.07371234894 saving model
8 0.847425687313 1.0558321476 saving model
9 0.809573817253 1.02870535851 saving model
10 0.783423352242 1.02984213829
11 0.762341248989 1.0345209837
12 0.746429646015 1.02576291561 saving model
13 0.732275807858 1.03089296818
14 0.70520311594 1.03296017647
15 0.682741510868 1.01232254505 saving model
16 0.67871721983 1.0010188818 saving model
17 0.654498040676 1.00687134266
18 0.656461560726 1.00737047195
19 0.624843680859 1.02818870544
20 0.594693624973 1.01356804371
21 0.564151287079 1.00176024437
22 0.537674093246 0.9936850667 saving model
23 0.548813354969 1.00443720818
24 0.572065520287 1.02023530006
25 0.514904880524 1.03631341457
26 0.493039613962 0.990159749985 saving model
27 0.451867824793 0.978133797646 saving model
28 0.454982066154 0.988572716713
29 0.442394691706 1.02670669556
30 0.416507595778 1.02660107613
31 0.401418799162 0.977432370186 saving model
32 0.37071596384 0.986268699169
33 0.355160903931 0.993472576141
34 0.33494939208 1.00968909264
35 0.332437479496 1.02394998074
36 0.320555907488 1.03024888039
37 0.334772145748 1.02264428139
38 0.334257161617 1.00702142715
39 0.35926861167 1.00738763809
40 0.322024023533 1.01300513744
41 0.300929868221 1.04167509079
42 0.291771376133 1.02208685875
43 0.289480400085 1.0233219862
44 0.282344466448 1.02607631683
45 0.286343574524 1.02155208588
46 0.260274213552 1.02330768108
47 0.272794693708 1.02900183201
48 0.250222742558 1.02253091335
49 0.24407132566 1.02509260178
model number is: 21557
mae:  1.05749897766
corr:  0.593786914486
mult_acc:  0.29592
mult f_score:  0.3063
Confusion Matrix :
[[282  97]
 [ 91 216]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75603   0.74406   0.75000       379
        True    0.69010   0.70358   0.69677       307

   micro avg    0.72595   0.72595   0.72595       686
   macro avg    0.72306   0.72382   0.72339       686
weighted avg    0.72652   0.72595   0.72618       686

Accuracy  0.725947521866
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 64, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [128, 64, 8], 'momentum': 0.6}, {'shapes': 32, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.5}]
0 1.32180011272 1.38538277149 saving model
1 1.16378550529 1.21303486824 saving model
2 1.02890113592 1.17603182793 saving model
3 0.938447487354 1.06053996086 saving model
4 0.885959815979 1.03972959518 saving model
5 0.846219587326 1.00671565533 saving model
6 0.776205253601 0.978526353836 saving model
7 0.705869615078 0.967224001884 saving model
8 0.645497715473 0.958689749241 saving model
9 0.604343378544 0.991038918495
10 0.617002689838 0.974483311176
11 0.595654261112 1.01493012905
12 0.579615074396 0.965823471546
13 0.531047534943 1.01905357838
14 0.522778880596 0.983451247215
15 0.466261410713 0.953211247921 saving model
16 0.440227973461 0.929979860783 saving model
17 0.424411159754 0.948035180569
18 0.40374815464 0.936365664005
19 0.393597954512 0.92661690712 saving model
20 0.38143581748 0.927281558514
21 0.360172188282 0.927197039127
22 0.366746252775 0.951225340366
23 0.346088844538 0.918940067291 saving model
24 0.353288340569 0.936018228531
25 0.371683233976 0.940424561501
26 0.373388212919 0.969344973564
27 0.341445589066 0.940918982029
28 0.325062990189 0.944403648376
29 0.323566901684 0.941681563854
30 0.305819553137 0.948570311069
31 0.289947843552 0.926209688187
32 0.300382035971 0.928619265556
33 0.307561767101 0.949777603149
34 0.281737345457 0.923681735992
35 0.293072211742 0.939861893654
36 0.302898275852 0.932218790054
37 0.284586811066 0.926629722118
38 0.282768511772 0.9315533638
39 0.294083958864 0.921338140965
40 0.284057557583 0.92732912302
41 0.284765410423 0.941455662251
42 0.271044433117 0.93791949749
43 0.267528533936 0.92975962162
44 0.256006413698 0.921327292919
45 0.259066221118 0.940286934376
46 0.262108522654 0.933771014214
47 0.263532921672 0.922061443329
48 0.255285748839 0.923652231693
49 0.25737889111 0.920273959637
model number is: 77175
mae:  1.07663204041
corr:  0.563766471541
mult_acc:  0.30758
mult f_score:  0.32323
Confusion Matrix :
[[273 106]
 [ 95 212]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74185   0.72032   0.73092       379
        True    0.66667   0.69055   0.67840       307

   micro avg    0.70700   0.70700   0.70700       686
   macro avg    0.70426   0.70544   0.70466       686
weighted avg    0.70820   0.70700   0.70742       686

Accuracy  0.706997084548
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 400, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [88, 80, 80], 'momentum': 0.5}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}, {'shapes': 256, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}, {'shapes': 256, 'drop': 0.7}]
0 1.34424779415 1.2874109745 saving model
1 1.26815402508 1.32744812965
2 1.11634106636 1.18032646179 saving model
3 1.011275208 1.12524545193 saving model
4 0.906847560406 1.04319119453 saving model
5 0.813536262512 1.02172279358 saving model
6 0.764382600784 1.00522720814 saving model
7 0.711729764938 0.99026620388 saving model
8 0.663462781906 0.98547077179 saving model
9 0.628156304359 0.977893650532 saving model
10 0.58491063118 0.995074570179
11 0.559921526909 1.04588735104
12 0.592491996288 1.09469532967
13 0.705123448372 1.10769724846
14 0.634870362282 0.993977129459
15 0.526610797644 0.969234228134 saving model
16 0.518692654371 0.9857249856
17 0.498478889465 0.987881660461
18 0.416297543049 0.972867369652
19 0.400481128693 0.989316344261
20 0.433697623014 0.957403302193 saving model
21 0.41321092844 0.978202462196
22 0.432443410158 0.984563291073
23 0.394409155846 0.942405223846 saving model
24 0.344916921854 0.940434098244 saving model
25 0.322817414999 0.948282659054
26 0.308582979441 0.94684445858
27 0.303192949295 0.952258527279
28 0.330132710934 0.977251887321
29 0.349342864752 0.973828554153
30 0.361219143867 0.935708940029 saving model
31 0.349701166153 0.966917872429
32 0.347497594357 0.99992620945
33 0.348658418655 0.974121034145
34 0.316704159975 0.963179528713
35 0.316267192364 0.967364430428
36 0.304448378086 0.974482655525
37 0.293389254808 0.965300798416
38 0.284265416861 0.958280384541
39 0.263090020418 0.967197656631
40 0.273198705912 0.953957259655
41 0.26156860888 0.956743776798
42 0.261625671387 0.960051596165
43 0.258541497588 0.940988600254
44 0.259330004454 0.940733492374
45 0.266339123249 0.963776886463
46 0.267490229011 0.961662888527
47 0.248855563998 0.950033903122
48 0.271419090033 0.950881063938
49 0.265601688623 0.958121478558
model number is: 91380
mae:  1.07566354828
corr:  0.566663063167
mult_acc:  0.29883
mult f_score:  0.30228
Confusion Matrix :
[[269 110]
 [ 90 217]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74930   0.70976   0.72900       379
        True    0.66361   0.70684   0.68454       307

   micro avg    0.70845   0.70845   0.70845       686
   macro avg    0.70646   0.70830   0.70677       686
weighted avg    0.71095   0.70845   0.70910       686

Accuracy  0.708454810496
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 400, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [156, 80, 8], 'momentum': 0.8}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}, {'shapes': 256, 'drop': 0.0}, {'shapes': 64, 'drop': 0.2}, {'shapes': 128, 'drop': 0.0}]
0 1.2898135677 1.20761287212 saving model
1 1.0560355708 1.14994096756 saving model
2 0.912579114735 1.03213846684 saving model
3 0.87189668119 1.04557430744
4 0.762107392401 0.995677232742 saving model
5 0.703414782882 1.01377356052
6 0.630833614618 0.973203659058 saving model
7 0.591035839915 0.938382744789 saving model
8 0.591104542464 0.980820834637
9 0.551480986178 1.14334058762
10 0.566318360716 1.0927093029
11 0.629034429044 0.978276133537
12 0.539598356932 0.985681414604
13 0.447396914661 0.95931994915
14 0.374431754649 0.975167095661
15 0.348545636237 1.02412712574
16 0.324107685685 1.00715923309
17 0.322698389366 1.03125405312
18 0.294763090461 1.03317737579
19 0.312310712039 0.996040284634
20 0.311356725171 1.00210523605
21 0.308130549267 0.983936309814
22 0.289401447773 1.03127026558
23 0.290721617267 1.02551710606
24 0.345445175096 1.05205821991
25 0.297734430805 1.00084507465
26 0.263496606052 1.00466954708
27 0.235537505522 1.0186522007
28 0.219712211192 1.01027452946
29 0.217748303339 1.02566230297
30 0.240221545845 1.05022883415
31 0.236864774302 0.995562136173
32 0.234122800082 0.99489146471
33 0.198313565552 0.992819190025
34 0.178736056574 1.0003926754
35 0.178021913208 0.991370081902
36 0.19895668216 1.01085197926
37 0.210378729925 1.00374281406
38 0.207150018774 1.00104498863
39 0.188881217316 0.991345226765
40 0.158295206539 1.00595915318
41 0.175170042738 1.01063096523
42 0.191041667387 1.02091729641
43 0.173418591544 1.02184343338
44 0.164824478142 0.995279431343
45 0.177165720053 1.02145147324
46 0.189865653217 0.987617194653
47 0.179377451167 0.98382204771
48 0.182262566127 0.995895445347
49 0.205326593667 1.02364981174
model number is: 78517
mae:  1.01855914759
corr:  0.626494654708
mult_acc:  0.31633
mult f_score:  0.33475
Confusion Matrix :
[[296  83]
 [ 94 213]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75897   0.78100   0.76983       379
        True    0.71959   0.69381   0.70647       307

   micro avg    0.74198   0.74198   0.74198       686
   macro avg    0.73928   0.73741   0.73815       686
weighted avg    0.74135   0.74198   0.74147       686

Accuracy  0.741982507289
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 128, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [156, 8, 48], 'momentum': 0.9}, {'shapes': 32, 'drop': 0.2}, {'shapes': 128, 'drop': 0.7}, {'shapes': 32, 'drop': 0.7}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.2}]
0 1.195709306 1.15486967564 saving model
1 0.935726541281 1.10109579563 saving model
2 0.79909542501 0.965125858784 saving model
3 0.728164130449 1.02112627029
4 0.664397785068 0.973283350468
5 0.614436839521 0.962449014187 saving model
6 0.586530812085 1.11351025105
7 0.63314242065 0.965850710869
8 0.480449058115 0.905712008476 saving model
9 0.423133271933 0.903097093105 saving model
10 0.436921580136 0.92371070385
11 0.405854472518 0.984123110771
12 0.415610286593 0.957322537899
13 0.39086612165 0.881858050823 saving model
14 0.397172731161 0.897008657455
15 0.39826605767 0.957123756409
16 0.343240429461 0.902257859707
17 0.337551859021 0.90179669857
18 0.361657910049 0.933671653271
19 0.312338402867 0.902137100697
20 0.296990180016 0.880771815777 saving model
21 0.293191923201 0.93352752924
22 0.294759944081 0.935039997101
23 0.295437644422 0.905112147331
24 0.293145253509 0.912408173084
25 0.303228420764 0.963713467121
26 0.358776502311 1.00902843475
27 0.424306689203 0.974561274052
28 0.355238094181 0.93174880743
29 0.340351450443 0.921865224838
30 0.335905817151 0.956675708294
31 0.298047340661 0.91046255827
32 0.276521047205 0.920422792435
33 0.248657055199 0.92561519146
34 0.268561948836 0.94825643301
35 0.321696703136 0.996153771877
36 0.363503598422 0.949620366096
37 0.304368923604 0.956162214279
38 0.278306504339 0.960464417934
39 0.282642745227 0.999690830708
40 0.278109814972 1.06990885735
41 0.31925874576 1.0852997303
42 0.466429851204 1.06915092468
43 0.542127715051 1.03031027317
44 0.516108889878 1.11357331276
45 0.448971636593 0.970032632351
46 0.338505859673 0.926354706287
47 0.300783770531 0.931572318077
48 0.28460534364 0.947324514389
49 0.309314414114 0.914935410023
model number is: 299
mae:  1.00626085919
corr:  0.620178413447
mult_acc:  0.34548
mult f_score:  0.3466
Confusion Matrix :
[[285  94]
 [ 88 219]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76408   0.75198   0.75798       379
        True    0.69968   0.71336   0.70645       307

   micro avg    0.73469   0.73469   0.73469       686
   macro avg    0.73188   0.73267   0.73222       686
weighted avg    0.73526   0.73469   0.73492       686

Accuracy  0.734693877551
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [128, 16, 8], 'momentum': 0.8}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 128, 'drop': 0.5}, {'shapes': 64, 'drop': 0.0}]
0 1.19957292676 1.07934188843 saving model
1 0.941188405454 1.01300799847 saving model
2 0.794322107732 1.0166721344
3 0.724995937943 0.988620460033 saving model
4 0.647521735728 0.900901913643 saving model
5 0.613342989236 0.907012283802
6 0.557928376645 0.883914709091 saving model
7 0.482021632046 0.89436519146
8 0.447737865895 0.924699544907
9 0.389878653735 0.937910437584
10 0.390889815986 0.939476847649
11 0.380835460126 0.904290616512
12 0.346471831948 0.947840988636
13 0.313481879979 0.920188248158
14 0.318871674314 0.943185150623
15 0.303905570135 0.962324917316
16 0.308421665803 0.915734946728
17 0.307323068008 0.912281513214
18 0.293773670122 1.01357543468
19 0.319701724127 0.952469468117
20 0.378920990974 0.98760253191
21 0.325072210655 0.967641055584
22 0.273228763044 0.940887570381
23 0.224567748234 0.918642163277
24 0.208209400624 0.910812556744
25 0.208133786172 0.917674303055
26 0.219608338363 0.909932374954
27 0.217916026339 0.935144007206
28 0.259583101422 1.00189971924
29 0.285736531392 0.969041287899
30 0.250386699662 0.9501298666
31 0.209644633159 0.931876420975
32 0.185775268637 0.914719343185
33 0.194163232669 0.891655385494
34 0.228464918956 0.95487433672
35 0.205663448572 0.943998932838
36 0.210199647769 0.928116977215
37 0.215606845357 0.886149585247
38 0.22140211165 0.899678468704
39 0.219362006709 0.943422198296
40 0.201587716863 0.935848414898
41 0.194936530292 0.93606108427
42 0.202180541307 0.910845339298
43 0.216381240636 0.912062704563
44 0.183936202154 0.925544559956
45 0.167813465558 0.927615880966
46 0.180959852785 0.89712446928
47 0.20079780072 0.909750580788
48 0.213563982025 0.926460564137
49 0.17518664673 0.933668673038
model number is: 17788
mae:  0.997718105156
corr:  0.608595459856
mult_acc:  0.32653
mult f_score:  0.3375
Confusion Matrix :
[[327  52]
 [121 186]]
Classification Report :
              precision    recall  f1-score   support

       False    0.72991   0.86280   0.79081       379
        True    0.78151   0.60586   0.68257       307

   micro avg    0.74781   0.74781   0.74781       686
   macro avg    0.75571   0.73433   0.73669       686
weighted avg    0.75300   0.74781   0.74237       686

Accuracy  0.747813411079
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 64, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [256, 16, 8], 'momentum': 0.5}, {'shapes': 32, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}, {'shapes': 32, 'drop': 0.0}]
0 1.25513145924 1.21917533875 saving model
1 1.05374200344 1.16029191017 saving model
2 0.953015935421 1.17633032799
3 0.881591811776 1.0285320282 saving model
4 0.756031396985 0.99756193161 saving model
5 0.718594026566 1.0509455204
6 0.710090810061 1.02795159817
7 0.637799450755 0.996138632298 saving model
8 0.533840464056 0.947409212589 saving model
9 0.4687796399 0.95851880312
10 0.433543813229 0.99061524868
11 0.424220953882 1.03619873524
12 0.430516983569 0.97921538353
13 0.384273384511 0.975529551506
14 0.350177401304 0.958317697048
15 0.312072187662 0.9523665905
16 0.297839182615 0.993866384029
17 0.330454923213 0.911743283272 saving model
18 0.328569535911 0.961043179035
19 0.306231128424 1.01694846153
20 0.311147721112 0.956436753273
21 0.310279359668 0.981887996197
22 0.306015588343 0.987216949463
23 0.327201923728 0.990584909916
24 0.305192251503 0.985123217106
25 0.294046691805 1.01014018059
26 0.287646529824 0.976084947586
27 0.277584061027 0.923155546188
28 0.25972238332 0.948650538921
29 0.293539468199 0.99147349596
30 0.311751224101 1.0142441988
31 0.394724261761 1.01259696484
32 0.324954188615 0.972551107407
33 0.27187756598 0.944558739662
34 0.243532253802 0.950859248638
35 0.238595490903 0.959999203682
36 0.206998930871 0.971575260162
37 0.175057598203 0.975638985634
38 0.170108220726 0.945852816105
39 0.174087864161 0.949307501316
40 0.186940085888 0.969453752041
41 0.202539903671 0.993595421314
42 0.220062997192 0.956182479858
43 0.249650492519 0.975699484348
44 0.308997656405 0.989473521709
45 0.257281397283 0.948857486248
46 0.210179336369 0.96576911211
47 0.155046828091 0.966896533966
48 0.140679127723 0.967781960964
49 0.141308686882 0.933883607388
model number is: 48497
mae:  1.109595551
corr:  0.572568004715
mult_acc:  0.30029
mult f_score:  0.31372
Confusion Matrix :
[[243 136]
 [ 72 235]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77143   0.64116   0.70029       379
        True    0.63342   0.76547   0.69322       307

   micro avg    0.69679   0.69679   0.69679       686
   macro avg    0.70243   0.70332   0.69675       686
weighted avg    0.70967   0.69679   0.69712       686

Accuracy  0.696793002915
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 400, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [256, 8, 64], 'momentum': 0.1}, {'shapes': 32, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.5}]
0 1.21653646082 1.18269431591 saving model
1 0.992848350108 1.07029438019 saving model
2 0.904514555633 1.05349123478 saving model
3 0.808487661183 1.01494920254 saving model
4 0.747812798619 1.01917946339
5 0.694366800785 1.0514537096
6 0.652298291773 0.996518790722 saving model
7 0.633762658387 0.966693997383 saving model
8 0.548025709391 0.996230721474
9 0.539031409472 0.953224956989 saving model
10 0.493015681952 0.940696299076 saving model
11 0.495814518631 0.959598720074
12 0.465751819313 0.935206711292 saving model
13 0.463998564333 0.966719686985
14 0.426262056828 0.963669836521
15 0.397854882479 0.948084652424
16 0.377961815149 0.994769632816
17 0.387775529921 0.972629010677
18 0.375366022438 0.991925477982
19 0.383410800248 0.959107935429
20 0.373697207123 0.957391560078
21 0.379200511426 0.967072606087
22 0.401228428632 0.970960974693
23 0.398084592074 0.972399055958
24 0.366289188713 0.998742222786
25 0.336121550202 0.98379021883
26 0.324376164004 0.999156117439
27 0.306138229743 0.959618270397
28 0.309015845507 0.983828425407
29 0.312571775168 1.00132954121
30 0.294215138629 0.964669287205
31 0.304810814559 0.97494161129
32 0.295821616799 0.958392560482
33 0.285170884058 1.02569448948
34 0.287756686658 0.984042644501
35 0.310362304002 0.990437269211
36 0.292565913498 0.97563624382
37 0.297298525274 0.994977593422
38 0.289412768558 0.99326133728
39 0.293987946585 1.00658512115
40 0.301906617731 1.00099015236
41 0.301335988194 1.00185739994
42 0.289778963849 0.975313007832
43 0.287759656832 0.980245053768
44 0.268262076378 0.982302725315
45 0.280242137611 0.984775841236
46 0.297059980407 0.995643794537
47 0.295138099045 1.0034031868
48 0.290899819508 0.994814038277
49 0.299751317501 0.959743320942
model number is: 26898
mae:  1.02812608717
corr:  0.613918530887
mult_acc:  0.31778
mult f_score:  0.32334
Confusion Matrix :
[[290  89]
 [ 87 220]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76923   0.76517   0.76720       379
        True    0.71197   0.71661   0.71429       307

   micro avg    0.74344   0.74344   0.74344       686
   macro avg    0.74060   0.74089   0.74074       686
weighted avg    0.74361   0.74344   0.74352       686

Accuracy  0.743440233236
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 256, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [128, 80, 16], 'momentum': 0.3}, {'shapes': 128, 'drop': 0.2}, {'shapes': 64, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.2}]
0 1.14466599673 1.17300081253 saving model
1 0.90566315949 0.970025718212 saving model
2 0.751976881921 0.941203176975 saving model
3 0.658047650754 0.922465384007 saving model
4 0.646661306173 0.913230657578 saving model
5 0.572497302294 0.93740016222
6 0.537880911678 1.19321203232
7 0.580760255456 1.05006563663
8 0.505976363271 0.893044471741 saving model
9 0.454430107772 0.914083302021
10 0.568404111266 1.04224264622
11 0.470166610926 0.972909331322
12 0.392310289294 0.947560429573
13 0.375234222412 0.959538936615
14 0.352776209638 0.928065299988
15 0.379349965975 0.948410391808
16 0.343102971464 1.04342913628
17 0.363717908412 0.99876922369
18 0.351632442325 0.953986763954
19 0.360062704235 0.95126914978
20 0.344961597025 0.907609879971
21 0.38231709227 0.918408274651
22 0.335797553882 0.981143891811
23 0.315353183821 0.96392083168
24 0.299608555809 0.97683352232
25 0.33010353744 0.92555898428
26 0.293198587373 0.932289242744
27 0.305508438125 0.96410959959
28 0.352626401186 0.984694838524
29 0.328566775844 1.07620620728
30 0.31424433291 0.958272695541
31 0.435034301877 0.961642563343
32 0.443728348613 1.02978801727
33 0.413315115124 1.07120013237
34 0.347251837328 1.01344001293
35 0.307267119363 0.963999092579
36 0.284630918503 0.970161020756
37 0.286068535969 0.94801235199
38 0.293989809602 0.983386993408
39 0.302581694722 1.05143654346
40 0.382133694366 0.972294092178
41 0.352401841804 1.0795160532
42 0.335496440157 1.00065863132
43 0.314094618708 0.956720173359
44 0.317812171206 1.01162683964
45 0.323566609994 1.00323867798
46 0.340207629651 0.98806655407
47 0.311669225991 1.01580202579
48 0.341368316114 0.949484467506
49 0.352691797167 1.05343425274
model number is: 83939
mae:  1.03974659154
corr:  0.598042213057
mult_acc:  0.31633
mult f_score:  0.33365
Confusion Matrix :
[[289  90]
 [ 88 219]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76658   0.76253   0.76455       379
        True    0.70874   0.71336   0.71104       307

   micro avg    0.74052   0.74052   0.74052       686
   macro avg    0.73766   0.73794   0.73779       686
weighted avg    0.74069   0.74052   0.74060       686

Accuracy  0.740524781341
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 400, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [88, 32, 32], 'momentum': 0.8}, {'shapes': 32, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.2}, {'shapes': 128, 'drop': 0.2}]
0 1.25905434191 1.16732192039 saving model
1 0.980119623244 1.14499151707 saving model
2 0.898110368848 1.09958899021 saving model
3 0.828414611518 1.03328979015 saving model
4 0.799509900808 1.0138771534 saving model
5 0.716392207891 0.978054940701 saving model
6 0.66771337986 0.985088288784
7 0.629410328716 0.966050088406 saving model
8 0.575646854192 0.966480255127
9 0.582932924479 1.02264750004
10 0.571758235991 1.09173834324
11 0.537346754968 1.01303362846
12 0.465069998056 1.00245583057
13 0.418816452846 1.00435292721
14 0.407555741817 1.01685655117
15 0.429489421099 1.05389750004
16 0.389615879208 1.0262774229
17 0.391129735857 0.99602162838
18 0.368566694483 1.00043451786
19 0.340205164999 0.971918880939
20 0.324273287877 0.991677641869
21 0.322214214876 0.979495227337
22 0.297531149536 1.00743484497
23 0.325440699607 1.02263391018
24 0.338501602411 1.03074491024
25 0.355554140732 1.00321042538
26 0.373915889859 1.05034637451
27 0.356665109098 1.05775105953
28 0.28289186433 1.01286649704
29 0.248926791921 1.02122306824
30 0.237356039509 1.01228487492
31 0.223678569496 1.00394809246
32 0.249470591545 1.01404225826
33 0.238794875517 1.02968370914
34 0.265350654349 1.01954269409
35 0.276994585991 1.02254676819
36 0.245345669612 1.0367808342
37 0.231263725087 1.01619923115
38 0.222840670496 0.993373811245
39 0.237815534696 0.996338427067
40 0.235038249195 0.98939460516
41 0.252787080407 1.01126253605
42 0.258404159918 0.982763171196
43 0.25054221265 0.972551763058
44 0.25120691359 0.964078307152 saving model
45 0.254666418955 0.976215422153
46 0.235143114999 0.982688486576
47 0.237604204565 1.00079894066
48 0.233441494778 1.03454637527
49 0.224080542102 1.0430161953
model number is: 26435
mae:  1.08835258304
corr:  0.574675811199
mult_acc:  0.29446
mult f_score:  0.29717
Confusion Matrix :
[[261 118]
 [ 80 227]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76540   0.68865   0.72500       379
        True    0.65797   0.73941   0.69632       307

   micro avg    0.71137   0.71137   0.71137       686
   macro avg    0.71168   0.71403   0.71066       686
weighted avg    0.71732   0.71137   0.71216       686

Accuracy  0.711370262391
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 400, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [256, 8, 64], 'momentum': 0.5}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.7}, {'shapes': 128, 'drop': 0.2}]
0 1.16329973638 1.12882447243 saving model
1 0.936120836437 1.10062158108 saving model
2 0.84786067903 1.04605817795 saving model
3 0.742735048383 1.04945456982
4 0.701029103994 1.03303933144 saving model
5 0.622240979224 1.00077736378 saving model
6 0.601056379825 0.998579084873 saving model
7 0.555228211731 1.00430309772
8 0.559517516196 1.03206849098
9 0.540751028061 0.969124317169 saving model
10 0.510398589075 0.993726193905
11 0.449503884465 0.974530637264
12 0.422539000213 0.970181584358
13 0.409344158322 0.999523997307
14 0.404087108001 0.998261272907
15 0.418672827631 1.02115809917
16 0.398070155084 0.997057378292
17 0.363943788782 0.937977075577 saving model
18 0.312632804364 0.971179366112
19 0.319148147479 1.00823950768
20 0.342906756699 0.985497891903
21 0.312295759842 0.97778069973
22 0.300125446916 0.988770723343
23 0.33398553431 0.947631299496
24 0.282670253888 0.953467547894
25 0.284131769091 0.971483230591
26 0.286890025064 1.00120341778
27 0.27505222261 1.01357674599
28 0.287955791876 0.936451733112 saving model
29 0.273421562836 0.980144321918
30 0.23801580146 1.00642943382
31 0.243511530012 0.980062842369
32 0.217158503085 0.961795568466
33 0.219287190214 0.950639307499
34 0.219404246658 0.9666197896
35 0.226257729158 0.963935554028
36 0.245973579958 0.974538505077
37 0.257274719328 0.972754478455
38 0.24321982339 0.977242827415
39 0.232000065222 0.988777577877
40 0.23371219039 0.952102839947
41 0.211682123318 0.969561040401
42 0.22314831391 0.970189929008
43 0.231180561706 0.947833836079
44 0.211946514994 0.960486531258
45 0.238553985208 0.966132521629
46 0.224220508337 0.970405340195
47 0.216311269999 1.00005817413
48 0.249296234921 0.96748560667
49 0.266046588123 0.975934267044
model number is: 20454
mae:  1.06914229996
corr:  0.595316299453
mult_acc:  0.31341
mult f_score:  0.32877
Confusion Matrix :
[[270 109]
 [ 85 222]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76056   0.71240   0.73569       379
        True    0.67069   0.72313   0.69592       307

   micro avg    0.71720   0.71720   0.71720       686
   macro avg    0.71563   0.71776   0.71581       686
weighted avg    0.72035   0.71720   0.71790       686

Accuracy  0.717201166181
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 300, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [88, 48, 48], 'momentum': 0.5}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.5}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.2}]
0 1.31455099583 1.38846933842 saving model
1 1.25504171848 1.2813616991 saving model
2 1.07446578741 1.1308555603 saving model
3 1.01080831289 1.16395354271
4 0.982620477676 1.15647864342
5 0.919460761547 1.11373829842 saving model
6 0.877627778053 1.06305873394 saving model
7 0.81800891161 1.02120947838 saving model
8 0.782359933853 1.01364636421 saving model
9 0.751741540432 0.989749550819 saving model
10 0.710234212875 0.980039060116 saving model
11 0.676008164883 0.977070808411 saving model
12 0.643277227879 0.97602725029 saving model
13 0.619421923161 0.978873729706
14 0.581757199764 0.978559672832
15 0.563132572174 1.01087212563
16 0.55772138238 1.02252173424
17 0.570012259483 1.11227071285
18 0.700344407558 1.0670735836
19 0.579202061892 1.00154459476
20 0.545153641701 1.00194597244
21 0.522095841169 1.00956916809
22 0.447156655788 0.985894858837
23 0.426797777414 0.98618555069
24 0.416027075052 0.99279910326
25 0.399019944668 0.966817319393 saving model
26 0.36333245635 0.992879867554
27 0.355589497089 1.02419626713
28 0.388026702404 0.998339056969
29 0.353992372751 1.01556432247
30 0.348986661434 0.983801782131
31 0.318475228548 0.998714148998
32 0.305151897669 1.01616215706
33 0.315908044577 0.993960678577
34 0.300146231055 1.00677025318
35 0.301063352823 0.979719519615
36 0.27951759398 1.01783573627
37 0.300046032667 0.998495578766
38 0.27611810267 0.995672881603
39 0.266571167111 0.993750929832
40 0.221854287386 1.00171482563
41 0.22575635612 1.00217103958
42 0.228485885262 0.995859861374
43 0.230100378394 0.990359663963
44 0.223629662395 0.996901512146
45 0.21179690659 1.01182377338
46 0.22106436193 1.00284409523
47 0.216753718257 0.999273300171
48 0.222820171714 1.01256847382
49 0.206166249514 0.993987977505
model number is: 97795
mae:  0.996503413827
corr:  0.628389110707
mult_acc:  0.34402
mult f_score:  0.35472
Confusion Matrix :
[[291  88]
 [ 88 219]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76781   0.76781   0.76781       379
        True    0.71336   0.71336   0.71336       307

   micro avg    0.74344   0.74344   0.74344       686
   macro avg    0.74058   0.74058   0.74058       686
weighted avg    0.74344   0.74344   0.74344       686

Accuracy  0.743440233236
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 300, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [128, 16, 16], 'momentum': 0.5}, {'shapes': 64, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}, {'shapes': 64, 'drop': 0.5}]
0 1.31408119202 1.39303970337 saving model
1 1.21341153383 1.14462423325 saving model
2 1.01168475449 1.1025633812 saving model
3 0.964472723007 1.05744671822 saving model
4 0.906250488758 1.02236890793 saving model
5 0.828068771958 1.01617288589 saving model
6 0.781771302223 1.02592170238
7 0.775753128529 1.01296317577 saving model
8 0.741533255577 0.997883915901 saving model
9 0.684834861755 0.961592078209 saving model
10 0.703577008843 0.974756121635
11 0.678665232658 0.982317388058
12 0.656691798568 0.997169971466
13 0.60927554369 1.04981839657
14 0.612538120151 1.03441977501
15 0.567876200378 0.98484903574
16 0.550316271186 1.02313697338
17 0.512519551814 1.04308247566
18 0.507972070575 1.00523757935
19 0.508180716634 1.01323080063
20 0.467197798193 1.00112617016
21 0.457920904458 1.03687989712
22 0.451635091007 1.06157624722
23 0.45253778398 1.00038588047
24 0.443474268913 1.00135469437
25 0.451520706713 1.09568297863
26 0.449382939935 1.06451821327
27 0.468498592079 1.09447574615
28 0.461972950399 1.02158713341
29 0.452440926433 1.02584326267
30 0.458986209333 1.00322210789
31 0.453748176992 1.0513535738
32 0.436290220916 1.03618884087
33 0.476199649274 1.12118160725
34 0.517843087018 1.09019315243
35 0.469848324358 1.01319479942
36 0.451326183975 1.0018928051
37 0.4319672212 1.0141273737
38 0.390126399696 1.00590586662
39 0.357139886916 1.00009858608
40 0.343704362214 1.02194464207
41 0.326097914577 1.03330349922
42 0.325954213738 1.03177189827
43 0.315044297278 1.01668941975
44 0.329242143035 1.01732182503
45 0.342210531235 0.973461568356
46 0.326997192204 0.981283009052
47 0.31804330647 1.02264225483
48 0.319138921797 1.01154220104
49 0.31616987437 1.01187169552
model number is: 53346
mae:  0.991616125595
corr:  0.638865604195
mult_acc:  0.33382
mult f_score:  0.36197
Confusion Matrix :
[[310  69]
 [ 95 212]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76543   0.81794   0.79082       379
        True    0.75445   0.69055   0.72109       307

   micro avg    0.76093   0.76093   0.76093       686
   macro avg    0.75994   0.75425   0.75595       686
weighted avg    0.76052   0.76093   0.75961       686

Accuracy  0.760932944606
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 128, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [32, 48, 80], 'momentum': 0.5}, {'shapes': 256, 'drop': 0.0}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.7}, {'shapes': 256, 'drop': 0.2}]
0 1.22089830637 1.1757786274 saving model
1 0.911817523837 1.11624360085 saving model
2 0.797666245699 1.10357320309 saving model
3 0.709599560499 1.03021764755 saving model
4 0.635320347548 1.10030984879
5 0.669660758972 1.01731789112 saving model
6 0.690693941712 0.996453285217 saving model
7 0.540763911605 1.00314056873
8 0.479475399852 1.00246918201
9 0.460037130117 1.03994894028
10 0.481345140934 0.992436230183 saving model
11 0.453560228646 0.990260481834 saving model
12 0.389685028791 1.00321924686
13 0.370473709702 0.977201759815 saving model
14 0.37200916037 1.01859736443
15 0.382950100303 0.98373323679
16 0.35296343118 0.98591542244
17 0.331578889489 1.00786221027
18 0.326980530471 1.03390359879
19 0.344627006352 1.06563186646
20 0.398319453001 1.06730222702
21 0.443533982337 1.01562047005
22 0.491103638709 1.05789577961
23 0.432123336196 1.01369476318
24 0.417793318629 1.0291454792
25 0.378713387996 1.05374693871
26 0.319234269857 1.01915729046
27 0.307898172736 1.03922533989
28 0.290600515157 1.07543849945
29 0.29672723636 1.04512953758
30 0.334461738914 1.05482327938
31 0.382029807568 1.09870731831
32 0.425928243995 1.06719493866
33 0.497037516534 1.04217326641
34 0.473606978357 1.13824284077
35 0.436652845144 1.12182188034
36 0.385018403083 1.08800399303
37 0.336258729547 1.03934264183
38 0.294040775299 1.06413388252
39 0.275763454288 1.04985964298
40 0.306767949462 1.00107657909
41 0.339989574254 1.03498971462
42 0.326190583408 1.02764928341
43 0.278024566174 1.0222107172
44 0.264337336272 1.00471436977
45 0.247024721652 1.02032470703
46 0.246566548198 1.00598156452
47 0.251523542404 1.01775455475
48 0.256631591171 1.02008879185
49 0.240217730403 1.01701104641
model number is: 99225
mae:  1.04739723108
corr:  0.58613396897
mult_acc:  0.29738
mult f_score:  0.30378
Confusion Matrix :
[[281  98]
 [ 92 215]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75335   0.74142   0.74734       379
        True    0.68690   0.70033   0.69355       307

   micro avg    0.72303   0.72303   0.72303       686
   macro avg    0.72013   0.72088   0.72044       686
weighted avg    0.72361   0.72303   0.72327       686

Accuracy  0.723032069971
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 400, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [32, 80, 64], 'momentum': 0.9}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.0}]
0 1.2218285501 1.14634466171 saving model
1 0.96032859087 1.08607876301 saving model
2 0.813837561011 1.05539941788 saving model
3 0.716029626131 1.00632572174 saving model
4 0.65527202785 1.00791954994
5 0.574455243349 0.992730438709 saving model
6 0.524385267496 1.00150334835
7 0.554186178744 0.997837245464
8 0.545584857464 0.982562124729 saving model
9 0.451788192987 0.961048960686 saving model
10 0.408769576252 0.97745603323
11 0.378120166063 0.963727176189
12 0.36501532048 1.05771374702
13 0.380920997262 0.971386492252
14 0.35374891609 0.969382584095
15 0.335766507685 1.02568554878
16 0.332379688323 0.994714736938
17 0.354847060889 0.974330067635
18 0.363388079405 0.971451342106
19 0.365629093349 1.02791380882
20 0.357502944767 1.01665198803
21 0.335379290581 0.968502342701
22 0.27837376669 0.95525187254 saving model
23 0.250943236798 0.962650418282
24 0.253362554312 0.962834060192
25 0.297465553135 0.968196690083
26 0.290771234035 0.989533543587
27 0.301765311509 1.02773869038
28 0.310060605407 0.977155864239
29 0.266242261976 1.01340615749
30 0.272142988443 1.06732463837
31 0.301672638953 1.09802722931
32 0.398449854553 1.16534554958
33 0.484671092033 1.0368270874
34 0.439327570796 1.0506426096
35 0.342770197242 0.996755719185
36 0.261256375164 0.990272223949
37 0.204054614902 0.994548141956
38 0.209482153505 0.981688439846
39 0.25345094502 1.01501226425
40 0.223481987417 1.03459811211
41 0.229486478865 1.01822793484
42 0.232685702294 1.02169787884
43 0.226295718551 1.01002442837
44 0.249963553995 1.00486898422
45 0.310365315527 1.12107992172
46 0.439108596742 1.00345432758
47 0.339835038781 0.979268193245
48 0.235499163717 0.979777097702
49 0.192186562717 0.971057116985
model number is: 51627
mae:  1.03976062541
corr:  0.607793003921
mult_acc:  0.29155
mult f_score:  0.29796
Confusion Matrix :
[[296  83]
 [ 98 209]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75127   0.78100   0.76585       379
        True    0.71575   0.68078   0.69783       307

   micro avg    0.73615   0.73615   0.73615       686
   macro avg    0.73351   0.73089   0.73184       686
weighted avg    0.73538   0.73615   0.73541       686

Accuracy  0.736151603499
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [32, 8, 8], 'momentum': 0.1}, {'shapes': 32, 'drop': 0.2}, {'shapes': 256, 'drop': 0.7}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}, {'shapes': 256, 'drop': 0.0}]
0 1.25510371923 1.24582219124 saving model
1 1.02960564494 1.13196742535 saving model
2 0.867397075891 1.07090973854 saving model
3 0.788518238068 1.06105268002 saving model
4 0.729348051548 1.03389179707 saving model
5 0.653619581461 1.02482032776 saving model
6 0.588323748112 1.01946866512 saving model
7 0.551354697347 1.03617942333
8 0.508925575018 0.996514260769 saving model
9 0.469953763485 0.99537307024 saving model
10 0.463654527068 0.978811979294 saving model
11 0.435799333453 1.02209591866
12 0.439767545462 1.00604557991
13 0.364527073503 0.977383255959 saving model
14 0.329234623909 0.995492458344
15 0.392017793655 1.00752460957
16 0.432011169195 1.06427896023
17 0.507582727075 1.10653614998
18 0.566832092404 1.09789252281
19 0.462199380994 1.06489849091
20 0.461055603623 1.00663352013
21 0.36058909595 1.02400112152
22 0.336396488547 1.03760445118
23 0.419727361202 0.993271768093
24 0.390256360173 1.0442814827
25 0.360138309002 1.01829481125
26 0.272762453556 1.013635993
27 0.233389338851 1.03040874004
28 0.268150359392 1.01267671585
29 0.331009967625 1.03178834915
30 0.310134334862 1.04378843307
31 0.323558461666 1.02301800251
32 0.248445869982 1.02853548527
33 0.229709365964 1.02433371544
34 0.301004736125 1.01741850376
35 0.261056762934 1.02767801285
36 0.235811893642 1.01271247864
37 0.21129553616 1.02255833149
38 0.229804621637 1.04443383217
39 0.30837751776 1.02443778515
40 0.2552616328 1.01713728905
41 0.173215653002 1.02467429638
42 0.162303867936 1.02701342106
43 0.201559372246 1.03141415119
44 0.265025600791 1.02769851685
45 0.207132412493 1.00926792622
46 0.16774315834 1.01856327057
47 0.175642365217 1.0331915617
48 0.240582765639 1.02276825905
49 0.236637677252 1.02716970444
model number is: 75435
mae:  1.02868422385
corr:  0.584961016099
mult_acc:  0.31341
mult f_score:  0.32434
Confusion Matrix :
[[306  73]
 [119 188]]
Classification Report :
              precision    recall  f1-score   support

       False    0.72000   0.80739   0.76119       379
        True    0.72031   0.61238   0.66197       307

   micro avg    0.72012   0.72012   0.72012       686
   macro avg    0.72015   0.70988   0.71158       686
weighted avg    0.72014   0.72012   0.71679       686

Accuracy  0.720116618076
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [88, 8, 32], 'momentum': 0.8}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}, {'shapes': 128, 'drop': 0.7}]
0 1.20782501996 1.10696291924 saving model
1 0.955526968837 1.00276625156 saving model
2 0.855729481578 1.01100695133
3 0.795948585868 0.963567495346 saving model
4 0.701461413503 0.983466982841
5 0.703741040826 1.01339757442
6 0.699154731631 0.947757780552 saving model
7 0.669243478775 0.949271500111
8 0.614895963669 0.952552556992
9 0.584008066356 0.956620812416
10 0.567535021901 1.00530779362
11 0.555121050775 0.921461880207 saving model
12 0.505785796046 0.939361155033
13 0.529319812357 0.991469800472
14 0.491751107574 0.908251523972 saving model
15 0.482675921917 0.938285708427
16 0.467832860351 0.951957762241
17 0.474873837829 0.955899059772
18 0.468738216162 1.01195204258
19 0.468721275032 1.00142884254
20 0.486593990028 1.01748239994
21 0.529313400388 0.931147933006
22 0.567401978374 0.997089385986
23 0.576215605438 1.00741589069
24 0.503287445009 0.973283588886
25 0.462964375317 0.933360815048
26 0.434448714554 0.935687601566
27 0.422296340764 0.925197660923
28 0.410070286691 0.9411059618
29 0.408559939265 0.922886610031
30 0.406337158382 0.945404052734
31 0.397727483511 0.956275343895
32 0.407222010195 0.944305300713
33 0.420789246261 0.948298573494
34 0.430577518046 0.961949288845
35 0.466771161556 0.972606122494
36 0.483485136926 1.00678884983
37 0.477368919551 1.00357830524
38 0.441308446229 0.952474534512
39 0.422709198296 0.969293057919
40 0.396729519963 0.969309568405
41 0.376250001788 0.951144576073
42 0.387275475264 0.950064361095
43 0.365497893095 0.956071078777
44 0.371934144199 0.96369767189
45 0.377141146362 0.984991490841
46 0.392497633398 0.939031362534
47 0.369182956219 0.948080122471
48 0.384308332205 0.920076489449
49 0.368136738241 0.944555699825
model number is: 92508
mae:  1.03066374471
corr:  0.612519792109
mult_acc:  0.31195
mult f_score:  0.31287
Confusion Matrix :
[[293  86]
 [ 98 209]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74936   0.77309   0.76104       379
        True    0.70847   0.68078   0.69435       307

   micro avg    0.73178   0.73178   0.73178       686
   macro avg    0.72892   0.72693   0.72770       686
weighted avg    0.73106   0.73178   0.73120       686

Accuracy  0.731778425656
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 400, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [128, 8, 64], 'momentum': 0.8}, {'shapes': 128, 'drop': 0.2}, {'shapes': 128, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}, {'shapes': 128, 'drop': 0.7}, {'shapes': 256, 'drop': 0.2}]
0 1.16671035439 1.11208379269 saving model
1 0.941108706594 1.03435218334 saving model
2 0.776577177644 0.992750287056 saving model
3 0.69543838799 0.979636669159 saving model
4 0.648912832886 1.00693809986
5 0.644797826558 0.989009082317
6 0.533602934331 0.993629097939
7 0.513075226545 0.966689407825 saving model
8 0.500533422083 1.01320981979
9 0.544394545257 0.923519194126 saving model
10 0.483088994771 0.98691701889
11 0.466308891028 0.967422962189
12 0.455482504517 0.949830412865
13 0.471126203239 0.956605553627
14 0.428905171901 1.003241539
15 0.392711627483 0.957066059113
16 0.378251423687 1.0279147625
17 0.372018938512 0.966434538364
18 0.328293084726 0.946913897991
19 0.324141541868 0.941917836666
20 0.327042517439 0.957633554935
21 0.353281397745 0.956784069538
22 0.351842258126 0.952120065689
23 0.329632542655 0.940951168537
24 0.301482546329 0.95248568058
25 0.276970591396 0.947130322456
26 0.27262603268 0.934726238251
27 0.291307060421 0.944645643234
28 0.303242121637 0.944963216782
29 0.26103031151 0.968094587326
30 0.296870169044 0.936789155006
31 0.287332169339 0.948860943317
32 0.325051929429 0.98536413908
33 0.32511141412 0.984292328358
34 0.30256527774 0.975211858749
35 0.305677056313 0.945665538311
36 0.243936921284 0.94021320343
37 0.268695354462 0.94458681345
38 0.242647469044 0.958513259888
39 0.261011216044 0.944064199924
40 0.254199110344 0.932590126991
41 0.245332973823 0.915511667728 saving model
42 0.266152724624 0.938854515553
43 0.283770645782 0.949826300144
44 0.235814608634 0.962226390839
45 0.254208629206 0.953829228878
46 0.254790274799 0.970315098763
47 0.244727480412 0.969501495361
48 0.261148642004 0.98564183712
49 0.267542561889 0.998555958271
model number is: 20739
mae:  1.12848221717
corr:  0.590518551335
mult_acc:  0.27697
mult f_score:  0.31695
Confusion Matrix :
[[257 122]
 [ 76 231]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77177   0.67810   0.72191       379
        True    0.65439   0.75244   0.70000       307

   micro avg    0.71137   0.71137   0.71137       686
   macro avg    0.71308   0.71527   0.71096       686
weighted avg    0.71924   0.71137   0.71210       686

Accuracy  0.711370262391
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 256, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [156, 80, 64], 'momentum': 0.8}, {'shapes': 64, 'drop': 0.0}, {'shapes': 32, 'drop': 0.5}, {'shapes': 256, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.5}]
0 1.20583541989 1.14139974117 saving model
1 1.00170517564 1.04544305801 saving model
2 0.874015177786 1.04675447941
3 0.79643651545 0.993955254555 saving model
4 0.736053451896 1.06471014023
5 0.701344604045 1.03050887585
6 0.634202682972 0.951988518238 saving model
7 0.640885913372 0.971618115902
8 0.621058064699 0.954966962337
9 0.550789964944 0.920308589935 saving model
10 0.540137829632 0.895048737526 saving model
11 0.518783999234 0.951034069061
12 0.528336201608 0.950317144394
13 0.506373178214 0.970678091049
14 0.490506379306 0.988238930702
15 0.482007852942 0.946448683739
16 0.457322328538 0.979903638363
17 0.474084329605 0.97863304615
18 0.461783035845 0.984932422638
19 0.452812383324 0.98290926218
20 0.448143505305 0.988272726536
21 0.429431678355 0.986668229103
22 0.426466433704 1.00492846966
23 0.456869781017 0.952698409557
24 0.454605774581 0.948062479496
25 0.456143375486 1.01525342464
26 0.480013408512 0.990692615509
27 0.421189752966 0.998682141304
28 0.391218889505 0.981651484966
29 0.391928517818 0.969821572304
30 0.392163468152 0.964450478554
31 0.380063631386 0.967873394489
32 0.386192318797 0.986073076725
33 0.389467702806 0.992296218872
34 0.392198292166 1.04101324081
35 0.420191139728 0.994992375374
36 0.390096567571 0.966261267662
37 0.400367456675 0.962955951691
38 0.400993786752 0.94262868166
39 0.403798474371 0.940932095051
40 0.401028580964 0.967836618423
41 0.377715780586 0.960938811302
42 0.377706307173 0.974510550499
43 0.374733325094 0.99727666378
44 0.367388463765 0.985356092453
45 0.381738754362 0.996038556099
46 0.380350148678 0.967457473278
47 0.376755611598 0.964416503906
48 0.381889330596 0.950223922729
49 0.404037683457 0.939326524734
model number is: 66085
mae:  1.00299973233
corr:  0.617019940202
mult_acc:  0.33382
mult f_score:  0.34596
Confusion Matrix :
[[290  89]
 [ 84 223]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77540   0.76517   0.77025       379
        True    0.71474   0.72638   0.72052       307

   micro avg    0.74781   0.74781   0.74781       686
   macro avg    0.74507   0.74578   0.74538       686
weighted avg    0.74826   0.74781   0.74799       686

Accuracy  0.747813411079
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [88, 16, 80], 'momentum': 0.9}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.0}, {'shapes': 128, 'drop': 0.7}, {'shapes': 256, 'drop': 0.0}, {'shapes': 32, 'drop': 0.2}]
0 1.31458888054 1.30722081661 saving model
1 1.1402746439 1.19386875629 saving model
2 1.0205987215 1.15190982819 saving model
3 0.92848110199 1.04656386375 saving model
4 0.833757483959 1.01938307285 saving model
5 0.781499540806 1.02375924587
6 0.722760593891 1.00084650517 saving model
7 0.698953008652 0.966645598412 saving model
8 0.675095522404 1.00233972073
9 0.612848901749 0.97348433733
10 0.540990954638 0.949832379818 saving model
11 0.494669806957 0.960008978844
12 0.464169967175 0.987784147263
13 0.458736479282 0.950779676437
14 0.427744120359 0.947787344456 saving model
15 0.409479409456 0.916538476944 saving model
16 0.374500608444 0.949152648449
17 0.356160128117 0.944560170174
18 0.339938634634 0.954083442688
19 0.344188898802 0.968370556831
20 0.344716638327 0.965580284595
21 0.358551341295 0.97499704361
22 0.310417103767 0.953666746616
23 0.301814866066 0.941803574562
24 0.294336998463 0.960561096668
25 0.286760574579 0.935276985168
26 0.269570535421 0.953242361546
27 0.290432941914 0.935628294945
28 0.275836437941 0.934599578381
29 0.254336938262 0.942660927773
30 0.242524337769 0.935067951679
31 0.235341095924 0.916493117809 saving model
32 0.230979809165 0.935455322266
33 0.23822721839 0.933940649033
34 0.229191213846 0.933559894562
35 0.226673361659 0.927854180336
36 0.224281677604 0.912743866444 saving model
37 0.238361850381 0.929085969925
38 0.232810181379 0.933761417866
39 0.219725456834 0.938092052937
40 0.224582520127 0.926062166691
41 0.218847897649 0.930658459663
42 0.221537643671 0.917574286461
43 0.210068595409 0.93032169342
44 0.218125745654 0.93449473381
45 0.216658166051 0.934752523899
46 0.213517439365 0.937603235245
47 0.2078237921 0.92713457346
48 0.215523743629 0.926379561424
49 0.207779628038 0.94512540102
model number is: 89858
mae:  1.05551095352
corr:  0.583908315798
mult_acc:  0.30029
mult f_score:  0.3127
Confusion Matrix :
[[270 109]
 [ 92 215]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74586   0.71240   0.72874       379
        True    0.66358   0.70033   0.68146       307

   micro avg    0.70700   0.70700   0.70700       686
   macro avg    0.70472   0.70636   0.70510       686
weighted avg    0.70904   0.70700   0.70758       686

Accuracy  0.706997084548
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 128, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [64, 32, 64], 'momentum': 0.1}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.2}]
0 1.3138474226 1.39214372635 saving model
1 1.2425802052 1.23202955723 saving model
2 0.99525051415 1.11686182022 saving model
3 0.89499360919 1.07843899727 saving model
4 0.852905055881 1.04527640343 saving model
5 0.789124503732 1.01736104488 saving model
6 0.744689971209 1.0182133913
7 0.7064814955 1.01573359966 saving model
8 0.664226892591 1.02379655838
9 0.644680270553 1.01968705654
10 0.60434320569 1.01261246204 saving model
11 0.5813086465 1.02296352386
12 0.531288377941 1.00644779205 saving model
13 0.510045063496 1.01298666
14 0.498663921654 1.08868443966
15 0.532328566909 1.02661836147
16 0.543770079315 1.0347533226
17 0.513303245604 1.03637349606
18 0.420708811283 1.03589677811
19 0.394362075627 1.03625321388
20 0.378609606624 1.03139567375
21 0.371410208941 1.02974128723
22 0.366889473796 1.04748797417
23 0.35526361689 1.07857275009
24 0.368666744977 1.04359972477
25 0.316673585773 1.05567467213
26 0.312706011534 1.06101953983
27 0.310354214162 1.04594659805
28 0.312505462766 1.10554587841
29 0.320754563063 1.06815719604
30 0.341863837838 1.05613088608
31 0.349824765325 1.08681380749
32 0.312142506987 1.0869178772
33 0.378526911139 1.14325225353
34 0.364034418762 1.19051337242
35 0.399353326857 1.07765567303
36 0.422974276543 1.04068374634
37 0.389120730013 1.0491682291
38 0.402523002028 1.05619513988
39 0.431227117777 1.07196974754
40 0.479123389721 1.01679861546
41 0.348263050616 1.04379880428
42 0.295091442764 1.03232645988
43 0.270754182339 1.03394341469
44 0.249084563553 1.0379806757
45 0.269363544881 1.02289175987
46 0.287222470343 1.05317556858
47 0.260780321062 1.01236593723
48 0.229677509516 1.02550601959
49 0.217294821143 1.01671350002
model number is: 24317
mae:  1.04299136841
corr:  0.642839748219
mult_acc:  0.32362
mult f_score:  0.3478
Confusion Matrix :
[[275 104]
 [ 63 244]]
Classification Report :
              precision    recall  f1-score   support

       False    0.81361   0.72559   0.76709       379
        True    0.70115   0.79479   0.74504       307

   micro avg    0.75656   0.75656   0.75656       686
   macro avg    0.75738   0.76019   0.75606       686
weighted avg    0.76328   0.75656   0.75722       686

Accuracy  0.756559766764
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 64, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [128, 8, 64], 'momentum': 0.1}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.0}, {'shapes': 64, 'drop': 0.5}]
0 1.31036329269 1.34207379818 saving model
1 1.1839369297 1.1444272995 saving model
2 1.02641010284 1.149482131
3 0.929209649563 1.18500232697
4 0.93401825428 1.08547270298 saving model
5 0.883682799339 1.0432459116 saving model
6 0.788370633125 0.995875120163 saving model
7 0.743098831177 0.985366821289 saving model
8 0.720727372169 0.96745377779 saving model
9 0.674750316143 0.956479430199 saving model
10 0.669748544693 0.95828795433
11 0.681094527245 1.04584264755
12 0.648048853874 0.970053136349
13 0.577651500702 0.978405177593
14 0.551284909248 0.984055519104
15 0.530380618572 0.972969353199
16 0.476907175779 0.948680639267 saving model
17 0.471896117926 0.968848347664
18 0.461293363571 0.983675539494
19 0.456050866842 0.983195900917
20 0.44808575511 0.98368871212
21 0.441156476736 0.968841671944
22 0.416717588902 0.958916306496
23 0.399890464544 0.976249814034
24 0.387135386467 0.96788829565
25 0.374865359068 0.995828807354
26 0.369352585077 0.989711642265
27 0.362241435051 0.976072490215
28 0.34895709753 0.988406181335
29 0.330345726013 0.984275341034
30 0.314001214504 0.97329223156
31 0.323479640484 0.982995927334
32 0.308735895157 0.974982261658
33 0.301178741455 0.964003145695
34 0.302008092403 0.9763687253
35 0.30331813097 0.979380905628
36 0.297831982374 0.984412848949
37 0.277291339636 0.969263613224
38 0.282070320845 0.974840521812
39 0.279043701291 0.981736898422
40 0.267565557361 0.962740182877
41 0.28430109024 0.977059304714
42 0.286600589752 0.964288651943
43 0.288390982151 0.969931066036
44 0.280278527737 0.993282556534
45 0.276018637419 0.979046523571
46 0.270126563311 0.993894100189
47 0.270437163115 0.993169009686
48 0.251435855031 0.973426997662
49 0.262456738949 0.957779407501
model number is: 85952
mae:  1.01629012746
corr:  0.595224941775
mult_acc:  0.32653
mult f_score:  0.34091
Confusion Matrix :
[[296  83]
 [102 205]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74372   0.78100   0.76190       379
        True    0.71181   0.66775   0.68908       307

   micro avg    0.73032   0.73032   0.73032       686
   macro avg    0.72776   0.72438   0.72549       686
weighted avg    0.72944   0.73032   0.72931       686

Accuracy  0.730320699708
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [256, 32, 16], 'momentum': 0.6}, {'shapes': 128, 'drop': 0.2}, {'shapes': 256, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.7}]
0 1.30166008472 1.3646478653 saving model
1 1.15577052236 1.15902888775 saving model
2 1.00478436947 1.07369744778 saving model
3 0.915674382448 1.06529080868 saving model
4 0.811706507206 1.00427663326 saving model
5 0.811886489391 0.998927891254 saving model
6 0.762248939276 1.01415812969
7 0.740719372034 0.961502969265 saving model
8 0.683774912357 0.976907253265
9 0.657718747854 0.986676633358
10 0.651658058167 0.993208706379
11 0.650861608982 0.994346797466
12 0.691326141357 1.07877409458
13 0.752453100681 1.01546013355
14 0.667741239071 0.977571249008
15 0.581574434042 0.941174685955 saving model
16 0.573126125336 0.954648375511
17 0.580296462774 0.972730100155
18 0.557147365808 0.984302639961
19 0.542133656144 0.962600469589
20 0.511064875126 0.946479737759
21 0.530578827858 0.967735469341
22 0.499529024959 0.963301360607
23 0.499229764938 1.00806725025
24 0.534862291813 0.961714029312
25 0.533097574115 0.986678183079
26 0.497069394588 0.996430635452
27 0.510831034184 0.955022633076
28 0.492252290249 0.931055903435 saving model
29 0.493679201603 0.937045693398
30 0.506953540444 0.943677186966
31 0.494780656695 1.00934433937
32 0.501087749004 0.936877131462
33 0.467490589619 0.956689417362
34 0.50919662118 0.978619933128
35 0.473329862952 0.961896359921
36 0.482890534401 0.934584438801
37 0.487553906441 0.949175596237
38 0.482932969928 0.969962954521
39 0.480154106021 0.962413668633
40 0.466664603353 0.941759347916
41 0.459946599603 0.925710976124 saving model
42 0.483562541008 0.947500765324
43 0.468933948874 0.987047493458
44 0.476396721601 0.993008852005
45 0.474894607067 0.938319921494
46 0.456438288093 0.940312922001
47 0.484444531798 0.956307113171
48 0.456228020787 0.971155881882
49 0.481045532227 0.931267857552
model number is: 24147
mae:  1.03212774297
corr:  0.593896889975
mult_acc:  0.31633
mult f_score:  0.34355
Confusion Matrix :
[[291  88]
 [ 85 222]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77394   0.76781   0.77086       379
        True    0.71613   0.72313   0.71961       307

   micro avg    0.74781   0.74781   0.74781       686
   macro avg    0.74503   0.74547   0.74524       686
weighted avg    0.74807   0.74781   0.74793       686

Accuracy  0.747813411079
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 256, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [88, 48, 80], 'momentum': 0.6}, {'shapes': 32, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.2}, {'shapes': 128, 'drop': 0.0}]
0 1.31166453362 1.36665129662 saving model
1 1.13760098219 1.15525722504 saving model
2 0.927924239635 1.02607297897 saving model
3 0.839415991306 1.04128158092
4 0.766077429056 0.990492582321 saving model
5 0.671559685469 0.967076599598 saving model
6 0.600016647577 0.945551991463 saving model
7 0.554173204303 0.951249063015
8 0.507688170671 1.05640554428
9 0.529308250546 1.00239706039
10 0.488853779435 1.09084427357
11 0.550280156732 1.13557457924
12 0.616228055954 1.02398431301
13 0.582050231099 1.03482592106
14 0.493235427141 0.979344367981
15 0.3932359308 0.989462316036
16 0.324808770418 0.968350231647
17 0.297587576509 1.01029348373
18 0.32233671844 1.00583434105
19 0.391872757673 1.06674385071
20 0.400009199977 1.02174794674
21 0.330871582031 1.00926733017
22 0.306540882587 0.998717188835
23 0.272579029202 0.975873470306
24 0.309613576531 1.00760710239
25 0.281291694939 1.00939905643
26 0.266911044717 1.01279759407
27 0.286930079758 1.01495718956
28 0.291380000114 0.974251687527
29 0.263975507021 0.992969691753
30 0.209372326732 1.00816702843
31 0.212560406327 1.00368452072
32 0.218043637276 1.03217935562
33 0.2803028211 0.978960514069
34 0.26447006166 0.99957460165
35 0.215645207465 1.00539600849
36 0.194135260582 1.00097429752
37 0.209033516049 0.993380367756
38 0.211754499376 0.977691292763
39 0.202034987509 0.998444914818
40 0.210966211557 0.994717955589
41 0.195563778281 1.00560116768
42 0.186821457744 0.991599977016
43 0.18423294723 0.970832467079
44 0.202137334645 1.00712096691
45 0.201201654971 1.00345993042
46 0.188550701737 1.01545548439
47 0.200936076045 0.975682258606
48 0.184804564714 0.977740705013
49 0.151918438077 0.993713498116
model number is: 1156
mae:  1.02281282052
corr:  0.628673525345
mult_acc:  0.32945
mult f_score:  0.34571
Confusion Matrix :
[[300  79]
 [ 91 216]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76726   0.79156   0.77922       379
        True    0.73220   0.70358   0.71761       307

   micro avg    0.75219   0.75219   0.75219       686
   macro avg    0.74973   0.74757   0.74841       686
weighted avg    0.75157   0.75219   0.75165       686

Accuracy  0.752186588921
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 64, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [128, 48, 32], 'momentum': 0.1}, {'shapes': 256, 'drop': 0.7}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.5}]
0 1.29962198734 1.33328473568 saving model
1 1.14505469799 1.20838630199 saving model
2 1.046517241 1.19435405731 saving model
3 1.01731364727 1.16930270195 saving model
4 0.921156907082 1.02172374725 saving model
5 0.846158504486 1.04588246346
6 0.832349324226 1.04250824451
7 0.737917602062 0.996209681034 saving model
8 0.692020010948 0.995791256428 saving model
9 0.63566583395 1.03674435616
10 0.623072052002 0.971287727356 saving model
11 0.562824118137 0.980060040951
12 0.537840545177 1.01177752018
13 0.573821341991 0.990488886833
14 0.543688499928 1.00635921955
15 0.518208575249 0.983509898186
16 0.446753120422 0.98469132185
17 0.43037994504 0.94563806057 saving model
18 0.421011632681 0.97222751379
19 0.384971046448 1.00571930408
20 0.379575163126 0.954230308533
21 0.369521486759 0.970570445061
22 0.367377924919 0.958495080471
23 0.352387613058 0.962742328644
24 0.341020590067 0.988498449326
25 0.33371784687 0.947934746742
26 0.320104944706 0.965884387493
27 0.311178904772 0.980078399181
28 0.32391050458 0.968858838081
29 0.317368626595 0.965421319008
30 0.321851283312 0.983155608177
31 0.313511008024 0.972178757191
32 0.303740781546 0.959191739559
33 0.295398074389 0.955233633518
34 0.289178264141 0.971781075001
35 0.286207538843 0.98128247261
36 0.288521814346 0.944779157639 saving model
37 0.2767991364 0.956165671349
38 0.281052905321 0.974525272846
39 0.278754127026 0.954455792904
40 0.285207992792 0.957843244076
41 0.274982342124 0.964887201786
42 0.270401000977 0.976761043072
43 0.264707520604 0.974153876305
44 0.261026218534 0.946081578732
45 0.266820842028 0.944983720779
46 0.259582856297 0.993022799492
47 0.266007685661 0.950540423393
48 0.279321658611 0.965050935745
49 0.254153203964 0.977186024189
model number is: 9225
mae:  1.03581288994
corr:  0.589788149066
mult_acc:  0.31341
mult f_score:  0.32996
Confusion Matrix :
[[291  88]
 [ 95 212]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75389   0.76781   0.76078       379
        True    0.70667   0.69055   0.69852       307

   micro avg    0.73324   0.73324   0.73324       686
   macro avg    0.73028   0.72918   0.72965       686
weighted avg    0.73275   0.73324   0.73292       686

Accuracy  0.733236151603
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 256, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [256, 64, 80], 'momentum': 0.8}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.2}, {'shapes': 64, 'drop': 0.7}]
0 1.32528321743 1.42062485218 saving model
1 1.31207356453 1.39224779606 saving model
2 1.29220075607 1.36006367207 saving model
3 1.23654801846 1.24419522285 saving model
4 1.11920280457 1.16287565231 saving model
5 1.07204840183 1.20550882816
6 1.04941620827 1.13571166992 saving model
7 1.00523891449 1.11627280712 saving model
8 0.967083418369 1.06880569458 saving model
9 0.935218858719 1.06557762623 saving model
10 0.891638076305 1.03643262386 saving model
11 0.873119080067 1.03754687309
12 0.849843335152 1.04902863503
13 0.849670672417 1.03013646603 saving model
14 0.853478860855 1.00929367542 saving model
15 0.798293018341 1.01274001598
16 0.801503264904 1.01079332829
17 0.779835689068 1.01417505741
18 0.75852265358 0.995077073574 saving model
19 0.752674520016 1.00843822956
20 0.72466520071 0.994060218334 saving model
21 0.695089554787 1.01710021496
22 0.687317097187 1.01005470753
23 0.692911159992 1.00437605381
24 0.701245617867 0.999886870384
25 0.687661862373 1.03800916672
26 0.672121727467 0.996037662029
27 0.624286961555 1.00403487682
28 0.612180137634 0.995460152626
29 0.594480800629 0.995201587677
30 0.591150355339 1.00916707516
31 0.602780580521 0.997785329819
32 0.580633914471 0.99123108387 saving model
33 0.578770530224 1.0057990551
34 0.548509120941 0.99349540472
35 0.532713150978 0.986308515072 saving model
36 0.522937238216 0.995489776134
37 0.518884468079 0.992573261261
38 0.513290810585 1.00464093685
39 0.494754552841 0.988609552383
40 0.500418126583 0.994566738605
41 0.483793753386 1.02107536793
42 0.477799028158 1.01679229736
43 0.479705446959 1.03567194939
44 0.460803878307 0.999206423759
45 0.467186754942 1.02235865593
46 0.45946906805 1.02316427231
47 0.451700216532 1.00328576565
48 0.450510454178 1.03093349934
49 0.474684131145 1.04855644703
model number is: 61142
mae:  1.06048018857
corr:  0.614378689933
mult_acc:  0.30321
mult f_score:  0.32715
Confusion Matrix :
[[260 119]
 [ 68 239]]
Classification Report :
              precision    recall  f1-score   support

       False    0.79268   0.68602   0.73550       379
        True    0.66760   0.77850   0.71880       307

   micro avg    0.72741   0.72741   0.72741       686
   macro avg    0.73014   0.73226   0.72715       686
weighted avg    0.73670   0.72741   0.72803       686

Accuracy  0.727405247813
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 256, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [88, 8, 80], 'momentum': 0.3}, {'shapes': 32, 'drop': 0.0}, {'shapes': 128, 'drop': 0.5}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}, {'shapes': 64, 'drop': 0.2}]
0 1.19104675949 1.2928109169 saving model
1 0.914881125093 1.01595151424 saving model
2 0.787274681032 1.03637373447
3 0.695895422995 0.966787695885 saving model
4 0.624489836395 0.938303112984 saving model
5 0.59779234603 0.961044192314
6 0.554193650186 0.952121973038
7 0.472493189573 0.900372445583 saving model
8 0.440488044918 0.961522817612
9 0.417804705352 0.958011329174
10 0.422127852589 0.935491025448
11 0.384813752025 0.950309932232
12 0.377400133759 0.988023638725
13 0.38559833318 0.956267654896
14 0.412949303538 0.98269200325
15 0.430702316016 0.993028461933
16 0.408961575478 0.96521115303
17 0.373143554479 0.973878800869
18 0.351263251901 0.964780390263
19 0.320120387897 0.967065930367
20 0.326865521818 0.969907283783
21 0.367876683921 1.00439548492
22 0.399567154422 1.02459359169
23 0.404540011287 0.996153175831
24 0.375037812442 0.996129751205
25 0.366509725153 1.01829767227
26 0.353680789843 1.01725053787
27 0.344062358513 0.978946685791
28 0.303868494555 0.974746108055
29 0.314030801877 0.978177905083
30 0.305344521999 0.997507512569
31 0.282213715464 1.02732169628
32 0.316869079322 1.0018440485
33 0.312457195297 0.976328372955
34 0.373083227873 1.04375267029
35 0.360990048945 1.04578983784
36 0.336322009191 1.00070238113
37 0.306905598938 1.02582550049
38 0.295181921497 1.01958596706
39 0.292276646942 1.02998065948
40 0.276833860949 1.0240046978
41 0.27748048529 1.00650727749
42 0.284697048366 1.01709318161
43 0.313471649587 1.05361497402
44 0.306459393352 1.01262331009
45 0.328846144304 1.00481402874
46 0.302043577284 1.05679571629
47 0.279708929732 1.01584362984
48 0.292734890059 0.996751785278
49 0.296755358204 1.05513477325
model number is: 26051
mae:  0.992106492842
corr:  0.614772540272
mult_acc:  0.32216
mult f_score:  0.33261
Confusion Matrix :
[[297  82]
 [103 204]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74250   0.78364   0.76252       379
        True    0.71329   0.66450   0.68803       307

   micro avg    0.73032   0.73032   0.73032       686
   macro avg    0.72789   0.72407   0.72527       686
weighted avg    0.72943   0.73032   0.72918       686

Accuracy  0.730320699708
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 300, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [128, 8, 32], 'momentum': 0.5}, {'shapes': 256, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}, {'shapes': 128, 'drop': 0.5}]
0 1.17596678585 1.08888792992 saving model
1 0.943867792189 0.971748173237 saving model
2 0.848339614272 0.942461192608 saving model
3 0.816490957141 0.903953373432 saving model
4 0.720519016683 1.03119432926
5 0.645040731132 0.955590009689
6 0.617470324039 0.9384136796
7 0.632787699252 1.00358247757
8 0.571284008026 0.998514652252
9 0.572408872843 1.01460289955
10 0.511560305208 0.975499272346
11 0.520056200773 0.916731834412
12 0.560282114893 0.912122964859
13 0.512302257121 0.920507967472
14 0.470180170983 0.920811831951
15 0.454042817652 0.944022238255
16 0.445100070536 0.949330985546
17 0.445018678159 0.955936491489
18 0.436016988754 0.991273283958
19 0.448931323737 0.933557927608
20 0.462096051127 0.941352725029
21 0.426865825802 0.911330699921
22 0.480502254516 0.926941514015
23 0.537098008394 0.99526822567
24 0.526754706353 0.990721106529
25 0.495639021695 0.955995380878
26 0.429884387553 0.976532757282
27 0.399970115721 0.96306425333
28 0.412162672728 0.894821763039 saving model
29 0.382648351789 0.900209546089
30 0.384800451249 0.936280071735
31 0.395213205367 0.956684112549
32 0.390329193324 0.973875880241
33 0.369033189863 0.973315179348
34 0.388580708206 0.967428922653
35 0.376817564666 0.961809337139
36 0.356004323065 0.9693146348
37 0.374264763668 0.998681724072
38 0.37442003563 0.965462505817
39 0.354597508162 0.99302726984
40 0.407302876562 0.997878015041
41 0.436758621037 0.985491156578
42 0.399705203623 0.940815746784
43 0.410888798535 0.951412558556
44 0.382092857361 0.936147511005
45 0.387102712691 0.932967782021
46 0.368142800778 0.954668164253
47 0.349613986164 0.944445610046
48 0.339780777693 0.956655204296
49 0.346286511794 0.959445774555
model number is: 32922
mae:  1.06829605691
corr:  0.587440978936
mult_acc:  0.30029
mult f_score:  0.30712
Confusion Matrix :
[[274 105]
 [ 82 225]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76966   0.72296   0.74558       379
        True    0.68182   0.73290   0.70644       307

   micro avg    0.72741   0.72741   0.72741       686
   macro avg    0.72574   0.72793   0.72601       686
weighted avg    0.73035   0.72741   0.72806       686

Accuracy  0.727405247813
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 400, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [88, 32, 48], 'momentum': 0.8}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}]
0 1.31702311039 1.40412926674 saving model
1 1.28339316845 1.34734094143 saving model
2 1.18250160217 1.18709075451 saving model
3 1.04009256363 1.13795828819 saving model
4 0.9824213624 1.13803803921
5 0.930114269257 1.15108394623
6 0.895968067646 1.09797942638 saving model
7 0.838902282715 1.06530559063 saving model
8 0.798792135715 1.05595135689 saving model
9 0.778177309036 1.03036797047 saving model
10 0.760022950172 1.02752053738 saving model
11 0.742852115631 1.02880489826
12 0.721367144585 1.01180958748 saving model
13 0.692329120636 1.0371928215
14 0.649918329716 1.04117834568
15 0.627170324326 1.01997983456
16 0.605554699898 1.00805699825 saving model
17 0.613118159771 1.02929830551
18 0.638275146484 1.0089366436
19 0.573185133934 1.01760518551
20 0.53270611763 1.01371979713
21 0.504571759701 0.993634939194 saving model
22 0.499952787161 1.00511658192
23 0.515392559767 0.985331714153 saving model
24 0.47489335537 1.00977408886
25 0.446572333574 1.01843822002
26 0.430879586935 0.986234843731
27 0.406407850981 0.979108929634 saving model
28 0.395306038857 0.991117656231
29 0.413747090101 0.97983443737
30 0.373687976599 1.01418793201
31 0.356065112352 0.996486008167
32 0.352708792686 0.998910307884
33 0.347415482998 0.981064021587
34 0.334052997828 1.01360082626
35 0.30595099926 1.00541818142
36 0.287116384506 0.979081273079 saving model
37 0.278989470005 0.9919937253
38 0.283862054348 0.987927258015
39 0.260799366236 1.01530873775
40 0.244867652655 0.998825788498
41 0.247998464108 0.986018180847
42 0.246092826128 0.994369029999
43 0.2621273458 0.999902427197
44 0.227876099944 1.02140295506
45 0.224710837007 0.993743479252
46 0.21850284338 1.01173341274
47 0.209265974164 0.995619833469
48 0.20405305028 1.01779532433
49 0.207109022141 0.999918818474
model number is: 17975
mae:  1.04066857133
corr:  0.608013053002
mult_acc:  0.30758
mult f_score:  0.31515
Confusion Matrix :
[[279 100]
 [ 90 217]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75610   0.73615   0.74599       379
        True    0.68454   0.70684   0.69551       307

   micro avg    0.72303   0.72303   0.72303       686
   macro avg    0.72032   0.72149   0.72075       686
weighted avg    0.72408   0.72303   0.72340       686

Accuracy  0.723032069971
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 64, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [128, 48, 48], 'momentum': 0.6}, {'shapes': 32, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.0}]
0 1.26611250639 1.24703764915 saving model
1 1.08806117773 1.15358972549 saving model
2 0.965690600872 1.14124786854 saving model
3 0.873767864704 1.06897950172 saving model
4 0.798747652769 1.03629529476 saving model
5 0.746416181326 1.02337789536 saving model
6 0.701530438662 1.03380310535
7 0.655897641182 1.01779603958 saving model
8 0.636912184954 1.03227186203
9 0.57924810648 1.01510846615 saving model
10 0.539190107584 0.997902333736 saving model
11 0.477924767137 1.00575971603
12 0.450597411394 1.00738632679
13 0.440250435472 0.985307872295 saving model
14 0.412512251735 1.00471699238
15 0.408789250255 1.04223275185
16 0.423018851876 1.03369963169
17 0.486431345344 1.08069193363
18 0.467711386085 1.10221350193
19 0.485529714823 1.07632470131
20 0.536599615216 0.987556040287
21 0.421581491828 1.00205183029
22 0.373676940799 1.01144003868
23 0.335926577449 0.986529648304
24 0.322806468606 0.998888611794
25 0.312764495611 1.06463491917
26 0.351773577929 1.01654005051
27 0.347862511873 1.00320219994
28 0.290638634562 0.989953577518
29 0.228239570558 0.999780237675
30 0.216608989239 1.00189638138
31 0.230288383365 1.02147126198
32 0.259499047697 1.05098438263
33 0.315606084466 0.99266076088
34 0.288852469623 1.00499141216
35 0.222854337096 1.00375258923
36 0.186254048347 1.00498378277
37 0.21106390506 1.01950275898
38 0.25124360621 0.996411561966
39 0.271267436445 0.989065647125
40 0.198742006719 1.01654493809
41 0.164344165474 1.01123225689
42 0.185880060494 1.0007506609
43 0.180180343986 1.01203000546
44 0.188835579157 0.986795723438
45 0.180028498173 1.02006113529
46 0.177475084364 0.998224914074
47 0.165471638739 1.00309050083
48 0.153055994958 1.0302952528
49 0.193032228947 1.00653886795
model number is: 36015
mae:  1.03333309379
corr:  0.586275367453
mult_acc:  0.32945
mult f_score:  0.34951
Confusion Matrix :
[[305  74]
 [118 189]]
Classification Report :
              precision    recall  f1-score   support

       False    0.72104   0.80475   0.76060       379
        True    0.71863   0.61564   0.66316       307

   micro avg    0.72012   0.72012   0.72012       686
   macro avg    0.71984   0.71019   0.71188       686
weighted avg    0.71996   0.72012   0.71699       686

Accuracy  0.720116618076
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 64, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [32, 64, 8], 'momentum': 0.1}, {'shapes': 32, 'drop': 0.7}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.5}, {'shapes': 128, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}]
0 1.30041906834 1.3445841074 saving model
1 1.15353360176 1.15150499344 saving model
2 1.04842894077 1.10643196106 saving model
3 0.985458743572 1.06458604336 saving model
4 0.931179392338 1.02761256695 saving model
5 0.884569001198 0.994339168072 saving model
6 0.843123519421 0.981438398361 saving model
7 0.826872694492 1.0231808424
8 0.790396571159 1.01984703541
9 0.776589083672 0.96869790554 saving model
10 0.71919734478 0.975482940674
11 0.674864411354 0.972082257271
12 0.649691092968 0.958802938461 saving model
13 0.649372088909 0.976041316986
14 0.641785645485 0.994400978088
15 0.61184309721 0.987572908401
16 0.627879500389 0.970778822899
17 0.62640402317 1.03549396992
18 0.632662415504 0.984730005264
19 0.581632006168 0.945066213608 saving model
20 0.562929928303 0.956088423729
21 0.557410883904 0.968187272549
22 0.548726797104 0.976728260517
23 0.549998790026 0.961257696152
24 0.539228308201 0.974848508835
25 0.504942065477 0.964449465275
26 0.522664439678 0.997143745422
27 0.521270269156 0.973302841187
28 0.496335583925 0.971770048141
29 0.49179443121 0.992720901966
30 0.485996103287 0.967901647091
31 0.4956348598 0.973176896572
32 0.512263703346 0.960691452026
33 0.485491603613 1.01885545254
34 0.504530727863 0.979943037033
35 0.486651718616 0.991184294224
36 0.477705651522 0.983401358128
37 0.461392754316 0.975988149643
38 0.451875138283 0.989710092545
39 0.452877312899 0.97926568985
40 0.460934180021 0.972660243511
41 0.469171506166 1.00075232983
42 0.486402845383 0.970999121666
43 0.469658875465 0.990117371082
44 0.452347368002 0.989610671997
45 0.46091093421 0.993029594421
46 0.455310589075 0.989011406898
47 0.456427121162 0.974446117878
48 0.444325524569 0.983819007874
49 0.476407015324 0.977802336216
model number is: 94945
mae:  1.00468786171
corr:  0.616036604888
mult_acc:  0.32653
mult f_score:  0.33937
Confusion Matrix :
[[290  89]
 [ 88 219]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76720   0.76517   0.76618       379
        True    0.71104   0.71336   0.71220       307

   micro avg    0.74198   0.74198   0.74198       686
   macro avg    0.73912   0.73926   0.73919       686
weighted avg    0.74206   0.74198   0.74202       686

Accuracy  0.741982507289
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 400, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [256, 8, 16], 'momentum': 0.8}, {'shapes': 64, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}]
0 1.29837108552 1.25841629505 saving model
1 1.14446236193 1.25488424301 saving model
2 1.0863056764 1.11565732956 saving model
3 1.00734798312 1.04996597767 saving model
4 0.949082624912 0.99222868681 saving model
5 0.875221158564 0.920031130314 saving model
6 0.800829657912 0.932438611984
7 0.797927227616 0.971844136715
8 0.740851189196 0.938220798969
9 0.714285750687 0.92687612772
10 0.672489930689 0.930204570293
11 0.656016860902 0.940270185471
12 0.640177284181 0.986663579941
13 0.618165239692 0.939477205276
14 0.606351500005 0.912667274475 saving model
15 0.584397695959 0.909470617771 saving model
16 0.577692713588 0.920585870743
17 0.552207699418 0.937119305134
18 0.53652715683 0.95037484169
19 0.539227121323 0.955271303654
20 0.53032713905 0.893620789051 saving model
21 0.514613471925 0.901314437389
22 0.509170522541 0.941423594952
23 0.493243246526 0.92562431097
24 0.508195402473 0.923103272915
25 0.496996063739 0.949502050877
26 0.488825359941 0.927219450474
27 0.483924253285 0.923628568649
28 0.482712537795 0.915863990784
29 0.483637910336 0.940165042877
30 0.478746344894 0.891862869263 saving model
31 0.463253236562 0.902425587177
32 0.474451546371 0.939205050468
33 0.482810424268 0.902119398117
34 0.470692989975 0.910049796104
35 0.454463534802 0.917966604233
36 0.468153811246 0.889679014683 saving model
37 0.469160827994 0.922635674477
38 0.458411157131 0.907483160496
39 0.47795092091 0.889646828175 saving model
40 0.454560963064 0.911059379578
41 0.447374241054 0.917166650295
42 0.448869808763 0.908346891403
43 0.46544528231 0.915439844131
44 0.452943947166 0.9277754426
45 0.47384218052 0.914478540421
46 0.45938045755 0.938871145248
47 0.452348203212 0.918805003166
48 0.464101193845 0.947729170322
49 0.44651934132 0.930735588074
model number is: 74307
mae:  1.00142299876
corr:  0.627712603576
mult_acc:  0.32216
mult f_score:  0.33472
Confusion Matrix :
[[291  88]
 [ 92 215]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75979   0.76781   0.76378       379
        True    0.70957   0.70033   0.70492       307

   micro avg    0.73761   0.73761   0.73761       686
   macro avg    0.73468   0.73407   0.73435       686
weighted avg    0.73732   0.73761   0.73744       686

Accuracy  0.737609329446
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [128, 80, 32], 'momentum': 0.1}, {'shapes': 128, 'drop': 0.2}, {'shapes': 256, 'drop': 0.0}, {'shapes': 128, 'drop': 0.7}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.7}]
0 1.22982267141 1.18699276447 saving model
1 0.995026564598 1.07592260838 saving model
2 0.885780918598 1.04769873619 saving model
3 0.792347750068 1.01651763916 saving model
4 0.718588426709 0.993478238583 saving model
5 0.658591359854 0.981096148491 saving model
6 0.654321916401 0.966623961926 saving model
7 0.618901604414 0.94749802351 saving model
8 0.561614495516 0.959567785263
9 0.534013177454 0.995917022228
10 0.583428871632 0.920820474625 saving model
11 0.596372874081 0.963261306286
12 0.545886941254 0.963134348392
13 0.508704487979 0.99423456192
14 0.50124015063 0.960581958294
15 0.501911832392 0.957259654999
16 0.471557796001 0.95466542244
17 0.450203984976 0.936860859394
18 0.461753307283 0.88551068306 saving model
19 0.481793524325 0.94774711132
20 0.5249342978 1.01448452473
21 0.563294075429 1.02559542656
22 0.582625976205 1.03009021282
23 0.531011536717 0.932481050491
24 0.46055791676 0.95403701067
25 0.444411149621 0.912849247456
26 0.421236212552 0.981252551079
27 0.406087054312 0.948605358601
28 0.388613171875 0.916092634201
29 0.381865666807 0.949509203434
30 0.361052544415 0.927703261375
31 0.363440512121 0.918343067169
32 0.393146058917 0.958591997623
33 0.393405796587 0.94198179245
34 0.386297307909 0.931225121021
35 0.416461239755 0.978082835674
36 0.361675219238 0.9311658144
37 0.361793710291 0.946595728397
38 0.407320423424 0.993698835373
39 0.400845685601 0.984914302826
40 0.37754663974 0.983037352562
41 0.432740205526 1.01821494102
42 0.460319344699 0.985349833965
43 0.490860059857 0.959022343159
44 0.486251223087 0.985972642899
45 0.436395232379 0.982943177223
46 0.439743168652 0.994989335537
47 0.445851199329 0.99691092968
48 0.445562189817 1.03891277313
49 0.40150077939 1.11044549942
model number is: 43659
mae:  1.08082311159
corr:  0.581923344576
mult_acc:  0.30175
mult f_score:  0.30205
Confusion Matrix :
[[279 100]
 [101 206]]
Classification Report :
              precision    recall  f1-score   support

       False    0.73421   0.73615   0.73518       379
        True    0.67320   0.67101   0.67210       307

   micro avg    0.70700   0.70700   0.70700       686
   macro avg    0.70371   0.70358   0.70364       686
weighted avg    0.70691   0.70700   0.70695       686

Accuracy  0.706997084548
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 256, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [88, 80, 64], 'momentum': 0.1}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.0}, {'shapes': 256, 'drop': 0.0}, {'shapes': 32, 'drop': 0.7}, {'shapes': 128, 'drop': 0.7}]
0 1.21059705466 1.18231523037 saving model
1 1.0091592133 1.10269355774 saving model
2 0.874227797985 1.09140896797 saving model
3 0.796881107986 0.996773719788 saving model
4 0.728337006271 0.980215907097 saving model
5 0.683063943684 0.966933012009 saving model
6 0.628026589006 0.993675351143
7 0.61972091943 1.04158365726
8 0.567777206004 0.979793071747
9 0.541797552258 0.978163659573
10 0.552401370555 0.957982361317 saving model
11 0.508112439513 1.04297709465
12 0.542910055071 1.02891469002
13 0.536491200328 1.01770508289
14 0.547023648769 0.962917029858
15 0.557962852716 0.982264339924
16 0.535525076836 0.947251856327 saving model
17 0.48465642035 0.984437763691
18 0.438335096836 0.950130164623
19 0.405489315093 0.992358624935
20 0.425095669925 0.966890275478
21 0.38069226779 0.997230291367
22 0.423055839539 0.958331286907
23 0.39388391301 0.978646755219
24 0.426219398528 0.958907723427
25 0.396992402524 0.987790286541
26 0.398595932126 0.963474750519
27 0.360738279298 0.959057092667
28 0.351059668511 0.979093968868
29 0.372448609024 0.96847307682
30 0.378741247952 0.955994606018
31 0.366531659663 0.972760021687
32 0.351176639274 0.955661296844
33 0.348802898079 0.962431013584
34 0.345581630617 0.95385491848
35 0.34546117112 0.966119766235
36 0.350038717315 0.962076365948
37 0.34776462242 0.986481249332
38 0.343018435687 0.965469002724
39 0.340009453148 0.960224807262
40 0.351363366842 0.958514750004
41 0.336676651612 0.972823500633
42 0.355892748386 0.965348958969
43 0.386888767779 0.977101743221
44 0.343231312186 0.948755502701
45 0.357268938422 0.966180324554
46 0.322060314193 0.97995698452
47 0.350581824034 0.987545907497
48 0.329205457494 1.00470006466
49 0.342438588291 0.982792496681
model number is: 8958
mae:  1.10930002917
corr:  0.56442647297
mult_acc:  0.29592
mult f_score:  0.31957
Confusion Matrix :
[[237 142]
 [ 61 246]]
Classification Report :
              precision    recall  f1-score   support

       False    0.79530   0.62533   0.70015       379
        True    0.63402   0.80130   0.70791       307

   micro avg    0.70408   0.70408   0.70408       686
   macro avg    0.71466   0.71332   0.70403       686
weighted avg    0.72313   0.70408   0.70362       686

Accuracy  0.704081632653
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 400, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [128, 48, 8], 'momentum': 0.5}, {'shapes': 32, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}, {'shapes': 256, 'drop': 0.0}]
0 1.32423043251 1.40337538719 saving model
1 1.29750351906 1.38121926785 saving model
2 1.25390043259 1.30641162395 saving model
3 1.13182885647 1.16366934776 saving model
4 1.02241846323 1.20274567604
5 1.00105965137 1.11410820484 saving model
6 0.934061634541 1.10188889503 saving model
7 0.90069334507 1.09418618679 saving model
8 0.856351983547 1.04635250568 saving model
9 0.831443536282 1.01872229576 saving model
10 0.809406900406 1.01080048084 saving model
11 0.777027785778 1.00286138058 saving model
12 0.74892885685 0.997851490974 saving model
13 0.720826160908 0.996789216995 saving model
14 0.700478923321 0.991052627563 saving model
15 0.705568242073 1.02381944656
16 0.741351163387 1.0468300581
17 0.742286467552 1.02443766594
18 0.665102672577 0.989421844482 saving model
19 0.643055415154 1.00773096085
20 0.64717258215 0.990493714809
21 0.602127218246 0.986749887466 saving model
22 0.581463170052 0.97622603178 saving model
23 0.56306592226 0.983539283276
24 0.563692450523 1.02219700813
25 0.607153701782 0.971651792526 saving model
26 0.559959626198 1.01976811886
27 0.528355246782 0.985003769398
28 0.488156503439 0.999835312366
29 0.514344644547 0.982051610947
30 0.472605025768 1.02119350433
31 0.44463390708 1.01192367077
32 0.426736998558 0.993631839752
33 0.4154910326 1.01078164577
34 0.430893790722 1.017988801
35 0.451678526402 1.01884078979
36 0.414165776968 1.03200602531
37 0.396338689327 0.998517632484
38 0.355302619934 0.999766409397
39 0.34233430624 0.99798566103
40 0.330762386322 1.01666378975
41 0.337349337339 1.02788221836
42 0.355782353878 1.00508832932
43 0.321964526176 1.01010990143
44 0.324483907223 1.00291907787
45 0.288734060526 1.02389895916
46 0.297779619694 1.0108230114
47 0.283606868982 1.00693929195
48 0.278298169374 1.01665937901
49 0.299194294214 1.01974368095
model number is: 82732
mae:  0.994103383008
corr:  0.641499267514
mult_acc:  0.33965
mult f_score:  0.36599
Confusion Matrix :
[[297  82]
 [ 91 216]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76546   0.78364   0.77445       379
        True    0.72483   0.70358   0.71405       307

   micro avg    0.74781   0.74781   0.74781       686
   macro avg    0.74515   0.74361   0.74425       686
weighted avg    0.74728   0.74781   0.74742       686

Accuracy  0.747813411079
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 64, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [32, 32, 64], 'momentum': 0.8}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.7}, {'shapes': 32, 'drop': 0.7}, {'shapes': 256, 'drop': 0.2}]
0 1.32105727196 1.40925729275 saving model
1 1.30399799347 1.39062738419 saving model
2 1.28199205399 1.36818826199 saving model
3 1.24902317524 1.32612848282 saving model
4 1.18212268353 1.26277971268 saving model
5 1.08898496628 1.1906362772 saving model
6 0.993922960758 1.13329970837 saving model
7 0.944962596893 1.10946440697 saving model
8 0.887282896042 1.08574438095 saving model
9 0.853312921524 1.07259643078 saving model
10 0.823849487305 1.05363988876 saving model
11 0.79779227972 1.03035247326 saving model
12 0.772411799431 1.02588140965 saving model
13 0.751909458637 1.02622175217
14 0.723749101162 1.00863111019 saving model
15 0.702116954327 1.01920354366
16 0.704901349545 1.01390171051
17 0.693278026581 1.01571154594
18 0.672147738934 1.01689314842
19 0.656217849255 0.992788732052 saving model
20 0.625703799725 0.999017953873
21 0.614145553112 1.00015163422
22 0.598429358006 0.998808860779
23 0.580948293209 1.01204383373
24 0.581723296642 1.02180719376
25 0.589414262772 1.0081692934
26 0.567502057552 1.02945208549
27 0.574124574661 1.00425982475
28 0.550306928158 1.00641572475
29 0.528210324049 1.03131318092
30 0.532934975624 1.02295565605
31 0.516833013296 1.01322746277
32 0.508867228031 1.02342998981
33 0.499490529299 1.01537978649
34 0.478629481792 1.01681625843
35 0.469119280577 1.02722847462
36 0.471024721861 1.02652740479
37 0.467629563808 1.01721203327
38 0.449793583155 1.01956665516
39 0.455755358934 1.02075374126
40 0.455371004343 1.00820362568
41 0.436186724901 1.02485156059
42 0.437365365028 1.02545702457
43 0.428664839268 1.01393163204
44 0.40150410533 1.02034771442
45 0.401208621264 1.02355134487
46 0.415548604727 1.01063036919
47 0.406674492359 1.00472021103
48 0.389505195618 1.01646006107
49 0.392421925068 1.01383054256
model number is: 8422
mae:  1.03830562953
corr:  0.606815259315
mult_acc:  0.29446
mult f_score:  0.31403
Confusion Matrix :
[[280  99]
 [ 90 217]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75676   0.73879   0.74766       379
        True    0.68671   0.70684   0.69663       307

   micro avg    0.72449   0.72449   0.72449       686
   macro avg    0.72173   0.72281   0.72215       686
weighted avg    0.72541   0.72449   0.72482       686

Accuracy  0.724489795918
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 300, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [156, 8, 8], 'momentum': 0.1}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.7}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.7}, {'shapes': 256, 'drop': 0.7}]
0 1.19519049674 1.21981143951 saving model
1 0.989851287007 1.16939842701 saving model
2 0.86685885787 1.04775440693 saving model
3 0.860431003571 1.0511906147
4 0.759415344894 1.00663340092 saving model
5 0.723878237605 1.09047150612
6 0.691092088819 1.06066012383
7 0.670997589827 1.10424852371
8 0.650916533917 1.01120269299
9 0.599179882556 1.05602073669
10 0.592173454165 1.04013264179
11 0.589200612158 1.05983936787
12 0.582807859033 1.04020559788
13 0.527374042571 1.04931366444
14 0.554544579983 1.06606554985
15 0.562033863366 1.01445829868
16 0.553837434202 1.04956138134
17 0.560280263424 1.01510179043
18 0.516351541132 1.00283837318 saving model
19 0.549696810544 1.08650350571
20 0.546334198117 1.07133066654
21 0.535167124867 1.01168560982
22 0.518078928441 1.00381827354
23 0.495291351527 1.02773308754
24 0.4964573659 1.05673789978
25 0.474906039238 1.0166721344
26 0.492849232256 1.0220284462
27 0.457345003635 0.99298542738 saving model
28 0.464965682477 1.01607072353
29 0.435107047856 1.01866185665
30 0.467417321354 1.00751078129
31 0.470721381158 1.06553852558
32 0.493793337047 1.01235866547
33 0.489589826763 1.0267701149
34 0.481289798021 1.02882397175
35 0.468628408015 1.0611000061
36 0.45714795813 1.00005745888
37 0.427693354338 1.04139506817
38 0.448694729805 1.01092994213
39 0.479988592118 0.981514453888 saving model
40 0.457947285473 1.01252365112
41 0.445350315422 1.05032038689
42 0.413334024698 1.02964031696
43 0.412706590444 0.991190612316
44 0.42019738555 1.02483558655
45 0.413660047948 1.02340447903
46 0.422446856648 1.02080142498
47 0.437009030581 0.997961759567
48 0.441958153993 1.00846672058
49 0.417608499154 1.04655134678
model number is: 74004
mae:  1.11171179248
corr:  0.554915512724
mult_acc:  0.29155
mult f_score:  0.29777
Confusion Matrix :
[[252 127]
 [ 78 229]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76364   0.66491   0.71086       379
        True    0.64326   0.74593   0.69080       307

   micro avg    0.70117   0.70117   0.70117       686
   macro avg    0.70345   0.70542   0.70083       686
weighted avg    0.70976   0.70117   0.70188       686

Accuracy  0.701166180758
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 300, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [32, 80, 80], 'momentum': 0.6}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.2}, {'shapes': 256, 'drop': 0.0}, {'shapes': 128, 'drop': 0.2}, {'shapes': 256, 'drop': 0.2}]
0 1.29624621868 1.27437210083 saving model
1 1.03117871881 1.16669046879 saving model
2 0.945959329605 1.13160610199 saving model
3 0.817938750982 1.0406037569 saving model
4 0.75009560585 1.00254428387 saving model
5 0.699723869562 0.98917889595 saving model
6 0.642956739664 1.06658005714
7 0.664700227976 1.0068423748
8 0.541427722573 0.992229342461
9 0.515544384718 0.983211278915 saving model
10 0.494573545456 0.999952673912
11 0.443351304531 1.00596690178
12 0.422756797075 0.993893146515
13 0.410105881095 1.01665782928
14 0.424223190546 1.17897963524
15 0.531214624643 1.0669618845
16 0.436480665207 1.07118618488
17 0.459542116523 1.10662508011
18 0.589520511031 1.03975689411
19 0.564062732458 1.09576404095
20 0.541715312004 1.00699687004
21 0.427309879661 0.986907958984
22 0.343308719993 0.964056968689 saving model
23 0.285717189312 0.969688594341
24 0.273814795911 1.01004624367
25 0.254162715375 1.00864005089
26 0.267773014307 1.0307970047
27 0.334862557054 1.01936709881
28 0.460027730465 1.07665026188
29 0.473443964124 0.971708357334
30 0.303376716375 0.993803143501
31 0.232836095989 1.00568425655
32 0.235898341238 0.994856774807
33 0.248882102966 1.01929593086
34 0.293721622229 1.05934071541
35 0.361893224716 1.01346123219
36 0.347457173467 1.02068281174
37 0.295313422382 1.02149546146
38 0.270520663261 1.02980577946
39 0.269461753964 1.04723286629
40 0.305465142429 0.990330576897
41 0.298505738378 1.0144726038
42 0.267146392167 1.05106389523
43 0.275972834229 1.04054653645
44 0.269806207716 1.04310452938
45 0.245504447818 1.0213868618
46 0.232925625145 1.03788352013
47 0.251957769692 1.01992201805
48 0.236867718399 1.04195845127
49 0.232678604126 1.02433025837
model number is: 59585
mae:  1.08562600444
corr:  0.57888558575
mult_acc:  0.293
mult f_score:  0.29987
Confusion Matrix :
[[265 114]
 [ 73 234]]
Classification Report :
              precision    recall  f1-score   support

       False    0.78402   0.69921   0.73919       379
        True    0.67241   0.76221   0.71450       307

   micro avg    0.72741   0.72741   0.72741       686
   macro avg    0.72822   0.73071   0.72685       686
weighted avg    0.73408   0.72741   0.72814       686

Accuracy  0.727405247813
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 256, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [32, 32, 48], 'momentum': 0.8}, {'shapes': 256, 'drop': 0.0}, {'shapes': 64, 'drop': 0.0}, {'shapes': 32, 'drop': 0.5}, {'shapes': 64, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}]
0 1.31746368408 1.39636480808 saving model
1 1.24842028618 1.18707072735 saving model
2 1.0728965044 1.11130416393 saving model
3 0.973742794991 1.07170188427 saving model
4 0.884297418594 1.04800927639 saving model
5 0.840360617638 0.998940944672 saving model
6 0.804450654984 1.00702011585
7 0.765441513062 1.01779699326
8 0.723629552126 0.960943222046 saving model
9 0.669028007984 0.970648646355
10 0.643211996555 0.971688866615
11 0.624026554823 0.962705790997
12 0.568743342161 0.940006434917 saving model
13 0.565319311619 0.967383265495
14 0.536870634556 0.962346732616
15 0.567903903127 1.00813472271
16 0.517587003112 0.965164899826
17 0.503229123354 0.961631834507
18 0.487837585807 0.968747973442
19 0.516117435694 0.972588777542
20 0.492833399773 0.987462520599
21 0.516924917698 1.01096522808
22 0.537659198046 0.93557035923 saving model
23 0.579827356339 1.05958473682
24 0.564261901379 0.975537836552
25 0.492149269581 0.961396574974
26 0.465084692836 0.966571807861
27 0.454379853606 0.933107733727 saving model
28 0.440764036775 0.977452754974
29 0.431224274635 0.956247925758
30 0.417238596082 0.960966646671
31 0.438985753059 0.937820911407
32 0.412043952942 0.921793282032 saving model
33 0.388497343659 0.958659768105
34 0.38455645442 0.941484093666
35 0.393116694689 0.928308308125
36 0.387539449334 0.938151538372
37 0.385934388638 0.962100088596
38 0.393918690085 0.926531553268
39 0.395031067729 0.914055943489 saving model
40 0.401699715853 0.982693850994
41 0.396929645538 0.90580368042 saving model
42 0.38238889873 0.943607926369
43 0.365915617347 0.944101750851
44 0.373683983088 0.946455180645
45 0.346943214536 0.916459798813
46 0.353109964728 0.933968365192
47 0.350294393301 0.947631061077
48 0.351977807283 0.943867087364
49 0.363467371464 0.934915721416
model number is: 70617
mae:  1.06415723157
corr:  0.567729774259
mult_acc:  0.28863
mult f_score:  0.2909
Confusion Matrix :
[[273 106]
 [ 95 212]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74185   0.72032   0.73092       379
        True    0.66667   0.69055   0.67840       307

   micro avg    0.70700   0.70700   0.70700       686
   macro avg    0.70426   0.70544   0.70466       686
weighted avg    0.70820   0.70700   0.70742       686

Accuracy  0.706997084548
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 128, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [88, 8, 64], 'momentum': 0.9}, {'shapes': 256, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}]
0 1.24607716203 1.22582292557 saving model
1 1.06718558669 1.20040118694 saving model
2 0.973062470555 1.08614397049 saving model
3 0.86985950768 0.992951452732 saving model
4 0.748906713724 1.00445520878
5 0.705599179864 1.01362919807
6 0.665350943804 1.0480710268
7 0.622608356178 1.03647875786
8 0.564701336622 1.01457607746
9 0.556358994544 0.988842964172 saving model
10 0.527623380721 0.997883558273
11 0.523242975771 1.02811729908
12 0.536214673519 0.972195446491 saving model
13 0.525104904175 0.996093809605
14 0.526379054785 1.09227335453
15 0.549428240955 1.00781476498
16 0.523873192072 0.997076392174
17 0.496622434258 1.05606937408
18 0.513372583687 0.996637225151
19 0.48165139854 1.01473248005
20 0.459820654988 0.971022605896 saving model
21 0.430785636604 0.994276821613
22 0.436376079917 1.00300276279
23 0.42798615545 1.01901745796
24 0.449485237896 1.01169145107
25 0.435907810926 1.01801228523
26 0.437647043169 1.00810325146
27 0.471132119 1.02065944672
28 0.543080423772 0.97493827343
29 0.59599326998 1.00116157532
30 0.580457375944 0.975971400738
31 0.491058591008 0.960517585278 saving model
32 0.452167476714 0.95168107748 saving model
33 0.422055396438 0.938284218311 saving model
34 0.40720307678 0.904443442822 saving model
35 0.401256513596 0.92079436779
36 0.414844124019 0.924477100372
37 0.411327752471 0.926356673241
38 0.404540532827 0.965302169323
39 0.399993120134 0.927867531776
40 0.377060066164 0.941414833069
41 0.409749642015 0.911662817001
42 0.391231425107 0.927807033062
43 0.397659026086 0.932036161423
44 0.373516991735 0.934924423695
45 0.409970580041 0.951668143272
46 0.38888040036 0.964596867561
47 0.388072696328 0.967917501926
48 0.4134206146 0.947546303272
49 0.418635766208 0.961818635464
model number is: 52316
mae:  0.997925651495
corr:  0.614925740376
mult_acc:  0.34985
mult f_score:  0.34993
Confusion Matrix :
[[307  72]
 [ 93 214]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76750   0.81003   0.78819       379
        True    0.74825   0.69707   0.72175       307

   micro avg    0.75948   0.75948   0.75948       686
   macro avg    0.75788   0.75355   0.75497       686
weighted avg    0.75889   0.75948   0.75846       686

Accuracy  0.759475218659
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [128, 8, 80], 'momentum': 0.6}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}]
0 1.32148981094 1.32678627968 saving model
1 1.10452970266 1.19324827194 saving model
2 0.912429404259 1.0213124752 saving model
3 0.77564060092 1.01996099949 saving model
4 0.696781331301 0.973717033863 saving model
5 0.617837691307 1.0020070076
6 0.571861624718 1.04459559917
7 0.571611571312 1.05247569084
8 0.598573976755 1.00758063793
9 0.56985552907 0.950698494911 saving model
10 0.533326271176 0.966520607471
11 0.526229554415 1.01932322979
12 0.539869490266 1.0368783474
13 0.555850151181 0.989333629608
14 0.505748680234 0.990011751652
15 0.462393900752 0.924608945847 saving model
16 0.395076853037 0.925733566284
17 0.352233719826 0.960509061813
18 0.350522789359 0.929138958454
19 0.372068226337 0.935213983059
20 0.37103793025 0.984206795692
21 0.415159627795 0.986199259758
22 0.370079180598 0.975763857365
23 0.381678783894 0.93845641613
24 0.336392518878 0.964004576206
25 0.322464060783 0.960632562637
26 0.290005972981 0.924163818359 saving model
27 0.278441558778 0.923697531223 saving model
28 0.297981134057 0.912881374359 saving model
29 0.295748028159 0.953970551491
30 0.293212842941 0.963639199734
31 0.292538172007 0.925032198429
32 0.27189167887 0.926566779613
33 0.298477561772 0.917062044144
34 0.256410999596 0.951869904995
35 0.24516620636 0.946352303028
36 0.242416985333 0.925657451153
37 0.229141238332 0.910752356052 saving model
38 0.240716610849 0.92429715395
39 0.226362857223 0.942965149879
40 0.218982331455 0.92529296875
41 0.208974541724 0.911302864552
42 0.207202686369 0.912149727345
43 0.220759736001 0.915855169296
44 0.262525367737 0.9389757514
45 0.224785356224 0.943769574165
46 0.230164259672 0.93334120512
47 0.228404015303 0.9187733531
48 0.230109499395 0.911344051361
49 0.219784806669 0.915948867798
model number is: 40
mae:  1.07740645092
corr:  0.577310217243
mult_acc:  0.29738
mult f_score:  0.29256
Confusion Matrix :
[[271 108]
 [ 89 218]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75278   0.71504   0.73342       379
        True    0.66871   0.71010   0.68878       307

   micro avg    0.71283   0.71283   0.71283       686
   macro avg    0.71074   0.71257   0.71110       686
weighted avg    0.71516   0.71283   0.71345       686

Accuracy  0.712827988338
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 128, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [128, 32, 48], 'momentum': 0.9}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.0}, {'shapes': 64, 'drop': 0.0}, {'shapes': 256, 'drop': 0.2}]
0 1.34199528694 1.36590778828 saving model
1 1.16042950153 1.67226469517
2 1.20305395126 1.27900195122 saving model
3 1.08576157093 1.18989145756 saving model
4 0.999944615364 1.14845883846 saving model
5 0.884364724159 1.07781338692 saving model
6 0.810662531853 1.01856303215 saving model
7 0.739157569408 0.991430401802 saving model
8 0.697689878941 1.0224364996
9 0.700390195847 0.962381601334 saving model
10 0.626168894768 1.01080143452
11 0.595605111122 0.963899552822
12 0.537194943428 0.982545673847
13 0.516753637791 0.955058932304 saving model
14 0.446960169077 0.982266783714
15 0.409690380096 0.974299430847
16 0.380223739147 0.981904804707
17 0.392312675714 0.961121559143
18 0.458181744814 0.998400807381
19 0.469525802135 0.980707705021
20 0.357256740332 0.954116880894 saving model
21 0.329655331373 0.974677741528
22 0.338545554876 0.971518576145
23 0.319941854477 0.988823592663
24 0.31398820281 0.964854121208
25 0.28750231266 0.964195430279
26 0.271538287401 0.975396990776
27 0.258982747793 0.970654189587
28 0.246551984549 0.974101543427
29 0.263976824284 0.966227829456
30 0.251432144642 0.964981019497
31 0.257026654482 0.965901076794
32 0.219867959619 0.985191822052
33 0.227336269617 0.960559248924
34 0.205379131436 0.976036548615
35 0.202313971519 0.978212952614
36 0.193589168787 0.969520807266
37 0.203235110641 0.947842419147 saving model
38 0.203937491775 0.969471335411
39 0.208321085572 0.959249675274
40 0.206535002589 0.97826141119
41 0.208163234591 0.960816681385
42 0.183581373096 0.964994430542
43 0.203912138939 0.971895098686
44 0.168303760886 0.971599340439
45 0.171262362599 0.955902099609
46 0.163250625134 0.963617742062
47 0.157290107012 0.982537269592
48 0.167559239268 0.962412714958
49 0.167892059684 0.959270119667
model number is: 26009
mae:  1.09304977984
corr:  0.565504313519
mult_acc:  0.28426
mult f_score:  0.29593
Confusion Matrix :
[[266 113]
 [ 78 229]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77326   0.70185   0.73582       379
        True    0.66959   0.74593   0.70570       307

   micro avg    0.72157   0.72157   0.72157       686
   macro avg    0.72142   0.72389   0.72076       686
weighted avg    0.72686   0.72157   0.72234       686

Accuracy  0.721574344023
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 400, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [64, 16, 32], 'momentum': 0.1}, {'shapes': 64, 'drop': 0.0}, {'shapes': 32, 'drop': 0.7}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}]
0 1.30445739627 1.37622654438 saving model
1 1.16390780807 1.23637926579 saving model
2 1.01762351096 1.12746036053 saving model
3 0.889759719372 1.05724227428 saving model
4 0.816728046536 1.01991522312 saving model
5 0.770851781964 1.02219486237
6 0.732497140765 1.00495731831 saving model
7 0.728570011258 0.996463894844 saving model
8 0.705195206404 1.00091207027
9 0.664561614394 0.978772163391 saving model
10 0.611228699982 0.976360321045 saving model
11 0.557930706441 0.98162150383
12 0.527426196635 0.99103808403
13 0.49684394449 1.01234269142
14 0.469915507734 1.01603376865
15 0.464360055327 0.994697868824
16 0.491070447862 1.00784873962
17 0.523352666199 1.12439656258
18 0.50837251544 1.02882778645
19 0.400197124481 1.06560981274
20 0.381489680707 1.06795954704
21 0.415037474036 1.00059711933
22 0.363027626276 1.01669371128
23 0.332822846621 1.08494973183
24 0.346061997116 1.06423735619
25 0.346766130626 1.03294789791
26 0.299318417162 1.06373047829
27 0.281447274238 1.13309288025
28 0.313297557831 1.11712789536
29 0.367797026038 1.16851449013
30 0.395657159388 1.21490490437
31 0.474587844312 1.19515073299
32 0.572308573127 1.09500396252
33 0.463746362925 1.02319133282
34 0.385650479794 1.05588853359
35 0.350835610926 1.03263437748
36 0.308837213367 1.04395592213
37 0.270879087597 1.05726587772
38 0.227899767458 1.03487026691
39 0.195176262036 1.02350854874
40 0.188791482151 1.04599142075
41 0.175840546936 1.05744314194
42 0.17782099843 1.05317664146
43 0.176085930318 1.0537558794
44 0.181183373183 1.06090867519
45 0.180906628817 1.06359708309
46 0.182744778693 1.09586668015
47 0.212473008037 1.10028505325
48 0.217139754444 1.09367859364
49 0.272291089594 1.08172357082
model number is: 82594
mae:  0.995074809826
corr:  0.635760943401
mult_acc:  0.31341
mult f_score:  0.33968
Confusion Matrix :
[[315  64]
 [ 98 209]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76271   0.83113   0.79545       379
        True    0.76557   0.68078   0.72069       307

   micro avg    0.76385   0.76385   0.76385       686
   macro avg    0.76414   0.75596   0.75807       686
weighted avg    0.76399   0.76385   0.76200       686

Accuracy  0.763848396501
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 64, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [64, 48, 8], 'momentum': 0.5}, {'shapes': 32, 'drop': 0.2}, {'shapes': 64, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.0}, {'shapes': 64, 'drop': 0.2}]
0 1.27684772909 1.18508660793 saving model
1 0.987371179461 1.09155654907 saving model
2 0.888611504436 1.06664693356 saving model
3 0.811613817513 1.00555288792 saving model
4 0.746916115284 0.988545000553 saving model
5 0.698801270127 0.979668617249 saving model
6 0.645920736343 0.961937010288 saving model
7 0.585586576164 0.980880975723
8 0.54471103102 0.964104712009
9 0.510339990258 1.03271949291
10 0.49079150185 0.991499602795
11 0.470091025531 0.964468061924
12 0.43441574797 1.02745258808
13 0.429476156831 0.996870160103
14 0.455287867039 0.985128819942
15 0.443352375925 0.997505545616
16 0.414160952717 0.99860227108
17 0.376977965236 0.984835803509
18 0.364210965484 0.983736395836
19 0.37204275392 0.980720221996
20 0.342067171633 1.01160788536
21 0.326675343886 0.968486666679
22 0.304408478364 0.959295630455 saving model
23 0.309346299246 0.998148918152
24 0.314358616993 1.00784373283
25 0.291506065056 1.00021672249
26 0.304808269814 1.01532232761
27 0.280055937544 0.972347199917
28 0.265214636922 0.971628129482
29 0.244023267925 0.985627949238
30 0.238344284147 0.980100393295
31 0.235400918871 0.986392140388
32 0.233468918875 0.987219393253
33 0.217557986081 0.996461808681
34 0.232402644865 0.977650344372
35 0.231005843356 0.972356379032
36 0.225935482606 0.956177771091 saving model
37 0.234269738942 0.991968035698
38 0.25138710998 1.00341117382
39 0.255800134316 0.987463414669
40 0.229289731756 0.993005871773
41 0.230184173957 0.992275476456
42 0.205950847268 1.00264763832
43 0.217438648641 1.00881147385
44 0.222620012611 1.03210866451
45 0.20325582549 1.01814246178
46 0.214844119549 1.0180464983
47 0.217022386566 1.02897071838
48 0.232553386688 1.02782976627
49 0.247937602177 1.03922188282
model number is: 17059
mae:  1.05882737456
corr:  0.578558864821
mult_acc:  0.29738
mult f_score:  0.30482
Confusion Matrix :
[[285  94]
 [ 92 215]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75597   0.75198   0.75397       379
        True    0.69579   0.70033   0.69805       307

   micro avg    0.72886   0.72886   0.72886       686
   macro avg    0.72588   0.72615   0.72601       686
weighted avg    0.72904   0.72886   0.72894       686

Accuracy  0.728862973761
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 128, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [64, 8, 48], 'momentum': 0.6}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.7}]
0 1.22570070028 1.25832808018 saving model
1 1.02625393867 1.04366195202 saving model
2 0.873777967691 0.975446999073 saving model
3 0.777219986916 1.00485229492
4 0.73346709311 0.956822693348 saving model
5 0.685322913527 0.996167838573
6 0.608332136273 0.96477407217
7 0.657861715555 1.05560445786
8 0.643939031661 0.930057823658 saving model
9 0.543942090869 0.958394765854
10 0.516284064949 0.934788823128
11 0.5203979671 0.92773270607 saving model
12 0.513103552163 0.923131525517 saving model
13 0.471097882092 0.927996098995
14 0.481579805911 0.932672798634
15 0.468206265569 0.972762942314
16 0.441375496984 0.933316707611
17 0.42480084002 0.95148062706
18 0.41198644191 0.933528840542
19 0.408363980055 0.94496268034
20 0.416476167738 0.96444016695
21 0.391458316147 0.961578249931
22 0.392873589694 0.984262287617
23 0.378908765316 0.977189362049
24 0.395913417637 0.98575335741
25 0.399598111212 0.999244809151
26 0.424509321153 1.03323912621
27 0.48322827518 1.05887341499
28 0.546557572484 0.983109891415
29 0.481776805222 0.978370189667
30 0.475984324515 0.986045598984
31 0.431541356444 0.962766945362
32 0.414276170731 0.955047369003
33 0.38623496294 0.996039450169
34 0.374194502831 0.979175746441
35 0.366401837766 0.957791984081
36 0.3386305511 0.989064872265
37 0.352075265348 0.988623738289
38 0.371603266895 0.984678983688
39 0.36128321588 0.994663715363
40 0.375083588064 0.974300980568
41 0.371176661551 0.956847190857
42 0.397033302486 0.951080441475
43 0.36694072336 0.973663926125
44 0.413389538229 0.981359660625
45 0.430317161977 1.0558359623
46 0.536686970294 1.16303157806
47 0.619681115448 1.09324729443
48 0.535435478389 1.05271089077
49 0.487011091411 1.01350700855
model number is: 82328
mae:  1.03939540346
corr:  0.605439009935
mult_acc:  0.31487
mult f_score:  0.32838
Confusion Matrix :
[[271 108]
 [ 84 223]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76338   0.71504   0.73842       379
        True    0.67372   0.72638   0.69906       307

   micro avg    0.72012   0.72012   0.72012       686
   macro avg    0.71855   0.72071   0.71874       686
weighted avg    0.72325   0.72012   0.72081       686

Accuracy  0.720116618076
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 256, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [32, 48, 8], 'momentum': 0.3}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.5}, {'shapes': 32, 'drop': 0.7}]
0 1.32149182558 1.41132450104 saving model
1 1.30180289745 1.38132441044 saving model
2 1.25484665632 1.27886664867 saving model
3 1.15800227523 1.14432704449 saving model
4 1.0628266573 1.11626887321 saving model
5 1.03073242903 1.11775028706
6 0.981581312418 1.08319306374 saving model
7 0.951609313488 1.08357739449
8 0.937488740683 1.07466709614 saving model
9 0.917039489746 1.10248827934
10 0.894661360979 1.11223316193
11 0.914200788736 1.08010900021
12 0.916053986549 1.04613530636 saving model
13 0.863396048546 1.02930510044 saving model
14 0.813152915239 1.02297770977 saving model
15 0.784317708015 1.02794885635
16 0.77445088625 1.01234972477 saving model
17 0.759528172016 0.999809145927 saving model
18 0.736006677151 0.993317961693 saving model
19 0.711340677738 1.01456832886
20 0.713173514605 1.01441287994
21 0.702805757523 0.999603390694
22 0.700172573328 0.984947264194 saving model
23 0.676469564438 1.00888860226
24 0.667857068777 1.01354956627
25 0.625751191378 1.00614726543
26 0.662002879381 0.99358355999
27 0.634653007984 1.0043772459
28 0.620671600103 1.00794482231
29 0.583953869343 0.998742580414
30 0.588887655735 1.02219438553
31 0.610922843218 0.988993406296
32 0.60719320178 1.04438877106
33 0.606239390373 1.00420737267
34 0.579035159945 1.00031673908
35 0.55752325654 0.994814157486
36 0.531010609865 0.987967073917
37 0.527070471644 0.981188237667 saving model
38 0.523228365183 0.98436242342
39 0.533987528086 1.01161694527
40 0.546971806884 0.993721961975
41 0.533031046391 1.02157139778
42 0.523626101017 0.995673835278
43 0.5261259377 1.00130558014
44 0.508066001534 0.992251336575
45 0.512375974655 0.988834142685
46 0.469057044387 0.982147991657
47 0.485626205802 0.988919317722
48 0.490764227509 0.991421401501
49 0.507844436169 0.998935043812
model number is: 21033
mae:  1.05221492222
corr:  0.594475112642
mult_acc:  0.28134
mult f_score:  0.29775
Confusion Matrix :
[[278 101]
 [ 90 217]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75543   0.73351   0.74431       379
        True    0.68239   0.70684   0.69440       307

   micro avg    0.72157   0.72157   0.72157       686
   macro avg    0.71891   0.72017   0.71936       686
weighted avg    0.72275   0.72157   0.72197       686

Accuracy  0.721574344023
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 400, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [32, 64, 48], 'momentum': 0.6}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.0}, {'shapes': 32, 'drop': 0.5}, {'shapes': 256, 'drop': 0.7}]
0 1.25731733441 1.22752737999 saving model
1 0.967122116685 1.09939396381 saving model
2 0.889567038417 1.08024203777 saving model
3 0.846846321225 1.11383378506
4 0.808684313297 1.04928457737 saving model
5 0.705863723159 1.02013278008 saving model
6 0.636915923655 1.00851249695 saving model
7 0.587869587541 0.982298314571 saving model
8 0.609077647328 1.04344248772
9 0.599453057349 1.06958580017
10 0.573176203668 1.00407207012
11 0.614390894771 1.01658022404
12 0.562607030571 1.03273820877
13 0.484678666294 1.05178356171
14 0.460441666842 1.02095162868
15 0.508125400543 1.06017756462
16 0.479102067649 1.03724265099
17 0.450514318049 1.01453983784
18 0.452201154828 1.09090483189
19 0.459344181418 1.06451380253
20 0.460962705314 1.09341442585
21 0.485404570401 1.07366943359
22 0.487564370036 1.04796528816
23 0.565404166281 1.03250420094
24 0.56125009656 1.04022288322
25 0.517092597485 1.09212768078
26 0.44073587209 1.00715887547
27 0.411739012599 1.05089628696
28 0.400345934927 1.03428888321
29 0.383418259025 1.0489397049
30 0.384562699497 1.05347561836
31 0.375442938507 1.04552578926
32 0.370712283254 1.02158117294
33 0.353265060484 1.07894170284
34 0.367147620022 1.05573773384
35 0.361647930741 1.02925658226
36 0.403913527727 1.06406509876
37 0.385281577706 1.03204214573
38 0.386208218336 1.07466900349
39 0.377109390497 1.02420198917
40 0.352023731172 1.01351130009
41 0.361110930145 1.07878792286
42 0.369109401107 1.01489365101
43 0.391261807084 1.07976710796
44 0.352867156267 1.04911708832
45 0.379522041976 1.08354341984
46 0.415268491209 1.09028816223
47 0.449086003006 1.03994822502
48 0.461518257856 1.06857025623
49 0.489757235348 1.07432150841
model number is: 67528
mae:  1.06643572009
corr:  0.580712538124
mult_acc:  0.31487
mult f_score:  0.32238
Confusion Matrix :
[[291  88]
 [ 99 208]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74615   0.76781   0.75683       379
        True    0.70270   0.67752   0.68988       307

   micro avg    0.72741   0.72741   0.72741       686
   macro avg    0.72443   0.72267   0.72336       686
weighted avg    0.72671   0.72741   0.72687       686

Accuracy  0.727405247813
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 256, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [128, 48, 64], 'momentum': 0.8}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}, {'shapes': 128, 'drop': 0.7}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.5}]
0 1.29771447182 1.30239665508 saving model
1 1.15748388767 1.27745091915 saving model
2 1.10344703197 1.18648004532 saving model
3 1.02112430334 1.14508402348 saving model
4 0.938427233696 1.06650984287 saving model
5 0.859910273552 1.05073928833 saving model
6 0.834140515327 1.00673258305 saving model
7 0.801058876514 1.02345204353
8 0.761972081661 1.02474272251
9 0.747015500069 0.983441233635 saving model
10 0.690715718269 1.00254738331
11 0.661967325211 0.961145818233 saving model
12 0.621951699257 0.976460456848
13 0.570337915421 0.990389347076
14 0.583825218678 0.970280826092
15 0.546221864223 0.995125830173
16 0.531904906034 0.955031991005 saving model
17 0.499579364061 0.964957475662
18 0.465333938599 0.989140033722
19 0.448178356886 0.982125341892
20 0.440718191862 0.989214658737
21 0.430332136154 0.951893031597 saving model
22 0.416853129864 1.02626657486
23 0.428402680159 1.0103225708
24 0.398972910643 0.965607583523
25 0.380674022436 0.96068161726
26 0.367919534445 0.951140224934 saving model
27 0.352135586739 0.987949132919
28 0.341309195757 0.946977257729 saving model
29 0.325758397579 0.947777867317
30 0.320954811573 0.972609460354
31 0.307102286816 0.970695376396
32 0.30388917923 0.930904448032 saving model
33 0.291697144508 0.952511250973
34 0.304620909691 0.983141243458
35 0.326491558552 0.928573429585 saving model
36 0.316384083033 0.971897304058
37 0.32604175806 0.971334278584
38 0.303167927265 0.923956573009 saving model
39 0.291543316841 0.944389939308
40 0.280370908976 0.937251567841
41 0.267353612185 0.93206346035
42 0.274938935041 0.932652831078
43 0.26916167438 0.938956856728
44 0.279467189312 0.929272472858
45 0.284251278639 0.942512094975
46 0.280638879538 0.936855494976
47 0.270204585791 0.957507014275
48 0.282040023804 0.935725033283
49 0.26372320652 0.940465092659
model number is: 39946
mae:  1.03670365789
corr:  0.592985786533
mult_acc:  0.30175
mult f_score:  0.30946
Confusion Matrix :
[[292  87]
 [ 99 208]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74680   0.77045   0.75844       379
        True    0.70508   0.67752   0.69103       307

   micro avg    0.72886   0.72886   0.72886       686
   macro avg    0.72594   0.72399   0.72474       686
weighted avg    0.72813   0.72886   0.72827       686

Accuracy  0.728862973761
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 256, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [256, 80, 64], 'momentum': 0.9}, {'shapes': 64, 'drop': 0.2}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.2}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.7}]
0 1.31261472702 1.37214648724 saving model
1 1.16419998258 1.12020659447 saving model
2 1.0264469862 1.05414962769 saving model
3 0.99366350621 1.04494214058 saving model
4 0.968590408564 1.06988954544
5 0.898640026152 1.05761790276
6 0.863099741936 1.0085927248 saving model
7 0.794719412923 0.981092691422 saving model
8 0.81193010807 0.974934101105 saving model
9 0.775246037543 1.02920508385
10 0.750902560353 0.963377773762 saving model
11 0.70954163447 0.991365253925
12 0.67580331862 0.99811309576
13 0.671640131623 0.980967283249
14 0.65775333941 0.987916648388
15 0.603576267511 0.943600475788 saving model
16 0.617163954675 0.987470090389
17 0.625499141961 0.963006854057
18 0.57485934943 0.998431503773
19 0.568130036443 0.959713876247
20 0.563792669028 1.00618135929
21 0.552649356425 1.01341629028
22 0.551960700005 1.01463592052
23 0.551805508137 0.99960565567
24 0.54274341315 1.0025023222
25 0.538408470154 0.983753204346
26 0.524535642564 0.98337751627
27 0.511042591929 1.01642513275
28 0.505395949632 0.964903593063
29 0.521030908078 0.991434574127
30 0.505812770128 0.985028326511
31 0.499135033786 1.01883661747
32 0.505261914432 1.01872444153
33 0.492400003225 1.01771569252
34 0.488629515469 0.978704333305
35 0.479074233025 0.989454627037
36 0.485434602201 1.01958703995
37 0.489357764274 0.983067274094
38 0.484792241454 0.963568270206
39 0.484785880148 0.999858319759
40 0.464448645711 0.983319938183
41 0.468323974311 0.962641000748
42 0.469270220399 0.957804977894
43 0.450319144875 0.988052606583
44 0.45599007681 0.985338449478
45 0.468218262494 1.00473678112
46 0.46441231668 0.983884692192
47 0.459587080032 0.988121449947
48 0.457020111382 0.989905953407
49 0.457013657689 0.984711885452
model number is: 61
mae:  1.07216721121
corr:  0.58824902233
mult_acc:  0.28426
mult f_score:  0.31364
Confusion Matrix :
[[286  93]
 [ 92 215]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75661   0.75462   0.75561       379
        True    0.69805   0.70033   0.69919       307

   micro avg    0.73032   0.73032   0.73032       686
   macro avg    0.72733   0.72747   0.72740       686
weighted avg    0.73041   0.73032   0.73036       686

Accuracy  0.730320699708
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 128, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [156, 32, 64], 'momentum': 0.8}, {'shapes': 64, 'drop': 0.0}, {'shapes': 64, 'drop': 0.2}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}]
0 1.2505427599 1.17658007145 saving model
1 0.970126801729 1.08436262608 saving model
2 0.8695830971 1.02635169029 saving model
3 0.765127664804 0.982363641262 saving model
4 0.732162943482 0.992531061172
5 0.695076924562 1.00779139996
6 0.725250908732 1.03942322731
7 0.688540148735 0.947723507881 saving model
8 0.539361980557 0.958382546902
9 0.483657847345 0.985919654369
10 0.483956122398 0.947545170784 saving model
11 0.441815046966 0.968028128147
12 0.415798327327 0.968127012253
13 0.424904431403 0.969496786594
14 0.432360687852 0.959758937359
15 0.421389909089 0.963578879833
16 0.374469056726 1.00596439838
17 0.365622399747 0.964715540409
18 0.359734784067 0.967722654343
19 0.358029314876 0.966364204884
20 0.313373488188 0.940675616264 saving model
21 0.294331938028 0.941057443619
22 0.298571036011 0.951261878014
23 0.313979874551 0.935471594334 saving model
24 0.307100368291 0.977676451206
25 0.294993398339 0.966874063015
26 0.304353839904 0.965497851372
27 0.32320850268 0.969272613525
28 0.353728993237 1.01792490482
29 0.423160482943 0.947731494904
30 0.397342768312 1.02086412907
31 0.381000564992 1.04833734035
32 0.376325654984 1.10442137718
33 0.396755228937 1.03472149372
34 0.405731935799 0.990474700928
35 0.442330320179 0.985011994839
36 0.385139714181 0.939317345619
37 0.311749650538 0.960927903652
38 0.291406623274 0.955910921097
39 0.286145834625 1.00788640976
40 0.307494660467 0.959163367748
41 0.315799020231 0.9304869771 saving model
42 0.283938068897 0.917509138584 saving model
43 0.26012069881 0.920605123043
44 0.258204830438 0.931501448154
45 0.240793860704 0.938574135303
46 0.221837958694 0.949387550354
47 0.216096076369 0.940332353115
48 0.231764481217 0.940663158894
49 0.233202445507 0.916100144386 saving model
model number is: 91796
mae:  1.09162132135
corr:  0.578335212037
mult_acc:  0.30321
mult f_score:  0.31565
Confusion Matrix :
[[267 112]
 [ 85 222]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75852   0.70449   0.73051       379
        True    0.66467   0.72313   0.69267       307

   micro avg    0.71283   0.71283   0.71283       686
   macro avg    0.71160   0.71381   0.71159       686
weighted avg    0.71652   0.71283   0.71357       686

Accuracy  0.712827988338
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 64, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [64, 16, 64], 'momentum': 0.3}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}]
0 1.3097650826 1.36720430851 saving model
1 1.15614094734 1.10579943657 saving model
2 1.0637714386 1.15440022945
3 0.920444831252 1.04543888569 saving model
4 0.875096222758 1.00499737263 saving model
5 0.808023962379 1.00050830841 saving model
6 0.790883281827 1.00404751301
7 0.773239222169 1.00356781483
8 0.746057114005 1.03479790688
9 0.782523441315 1.03245127201
10 0.693673437834 1.0160998106
11 0.651427748799 0.985199511051 saving model
12 0.620156282187 0.989542961121
13 0.620820274949 1.00632250309
14 0.594824817777 1.0001937151
15 0.566161617637 0.990220367908
16 0.571200528741 0.996867239475
17 0.534314367175 0.995897650719
18 0.505646932125 1.0289850235
19 0.526184493303 1.01111543179
20 0.534800095856 1.00417613983
21 0.51174390316 1.00350487232
22 0.497038900852 1.00234568119
23 0.478472605348 0.997564315796
24 0.463298338652 1.02598166466
25 0.472202509642 1.04001176357
26 0.469059042633 1.0384786129
27 0.473482467234 1.02450037003
28 0.477449388802 1.06891071796
29 0.473964674771 1.09743762016
30 0.476543292403 1.12901818752
31 0.507243549824 1.11759757996
32 0.550484584272 1.05448102951
33 0.57327015698 1.00082874298
34 0.572514648736 1.01200485229
35 0.470793184638 0.99056327343
36 0.440930099785 1.00439941883
37 0.425985583663 0.997377514839
38 0.397786514461 0.998778879642
39 0.398805864155 0.989225804806
40 0.384361097217 0.98336404562 saving model
41 0.375539490581 1.01568412781
42 0.397890010476 1.01027274132
43 0.376776915789 0.975391089916 saving model
44 0.381616924703 0.993286788464
45 0.384913548827 0.985025882721
46 0.386264529824 0.99545276165
47 0.387432777882 0.991474747658
48 0.390221875906 0.985485374928
49 0.360449944437 1.0052267313
model number is: 14343
mae:  1.10098926306
corr:  0.579096661979
mult_acc:  0.2828
mult f_score:  0.3032
Confusion Matrix :
[[249 130]
 [ 75 232]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76852   0.65699   0.70839       379
        True    0.64088   0.75570   0.69357       307

   micro avg    0.70117   0.70117   0.70117       686
   macro avg    0.70470   0.70635   0.70098       686
weighted avg    0.71140   0.70117   0.70176       686

Accuracy  0.701166180758
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [88, 32, 48], 'momentum': 0.9}, {'shapes': 128, 'drop': 0.2}, {'shapes': 64, 'drop': 0.0}, {'shapes': 32, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}, {'shapes': 256, 'drop': 0.0}]
0 1.23916771412 1.30904459953 saving model
1 1.04104636908 1.13952422142 saving model
2 0.898983544111 1.07855379581 saving model
3 0.821339607239 1.00131344795 saving model
4 0.721357345581 0.986355721951 saving model
5 0.650014549494 0.975788354874 saving model
6 0.609780538082 1.01856398582
7 0.533649635315 1.01822388172
8 0.515430387855 0.98628360033
9 0.533054620028 0.983759701252
10 0.557713633776 0.989758193493
11 0.534303563833 1.03754687309
12 0.526405489445 1.03314161301
13 0.53797814846 1.11587738991
14 0.649849778414 1.05491566658
15 0.583661928773 1.01709067822
16 0.404091310501 0.957544565201 saving model
17 0.317645126581 0.974358856678
18 0.334340104461 1.02863276005
19 0.388243511319 1.07521176338
20 0.473011019826 1.00873327255
21 0.395999032259 0.989617288113
22 0.32512704134 0.973479747772
23 0.282714876533 0.993138492107
24 0.30234631598 1.03484284878
25 0.360820287466 1.00068378448
26 0.291273422539 0.985620617867
27 0.22146320641 0.978792011738
28 0.21175519973 1.0014705658
29 0.221032418311 1.03568315506
30 0.300721764565 1.00308561325
31 0.281288659573 1.00151669979
32 0.278099921346 0.980006217957
33 0.258742530644 0.983604729176
34 0.221443361044 1.02563965321
35 0.279021267593 1.00772511959
36 0.266495554149 1.00511026382
37 0.217035491765 0.988280773163
38 0.162583035231 0.999465346336
39 0.179838551581 1.00845432281
40 0.193605297804 1.03604114056
41 0.260632228851 1.00570297241
42 0.201490189135 1.00489854813
43 0.159467688203 0.996513128281
44 0.155960765481 1.00409972668
45 0.199804034829 1.02323484421
46 0.235244448483 1.01934576035
47 0.169969461858 0.998006403446
48 0.150310346484 1.0102853775
49 0.184142147005 1.02849328518
model number is: 52534
mae:  1.09846061619
corr:  0.58433529065
mult_acc:  0.31341
mult f_score:  0.32854
Confusion Matrix :
[[261 118]
 [ 82 225]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76093   0.68865   0.72299       379
        True    0.65598   0.73290   0.69231       307

   micro avg    0.70845   0.70845   0.70845       686
   macro avg    0.70845   0.71078   0.70765       686
weighted avg    0.71396   0.70845   0.70926       686

Accuracy  0.708454810496
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 128, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [88, 80, 48], 'momentum': 0.5}, {'shapes': 256, 'drop': 0.5}, {'shapes': 128, 'drop': 0.7}, {'shapes': 256, 'drop': 0.0}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}]
0 1.22230583578 1.18710923195 saving model
1 1.02341561615 1.12779724598 saving model
2 0.881431084871 1.0009636879 saving model
3 0.826264050603 1.00529098511
4 0.793014204502 1.04616546631
5 0.718910758197 0.952840089798 saving model
6 0.698858260363 0.974495887756
7 0.67870387882 0.960735321045
8 0.673111467808 0.964304149151
9 0.634558700025 1.00670063496
10 0.598841959238 0.971228063107
11 0.569344596565 1.0049072504
12 0.56256788224 0.957386136055
13 0.509535301477 0.945868492126 saving model
14 0.509481616318 0.971034646034
15 0.502323006839 0.970294654369
16 0.477500203997 0.959121227264
17 0.467887158692 0.946961164474
18 0.469908519089 0.994203865528
19 0.443639375269 0.950293004513
20 0.453409158438 0.961393237114
21 0.460848580301 0.98143273592
22 0.471878024936 0.953386843204
23 0.430057244748 0.945500135422 saving model
24 0.429432218522 0.952721297741
25 0.427948285639 0.971233546734
26 0.406998791546 0.953932762146
27 0.411447608471 0.978983640671
28 0.429500424862 0.94920372963
29 0.415072637051 0.965763270855
30 0.399153268337 0.939368605614 saving model
31 0.418515547365 0.965548038483
32 0.408041681349 0.99122184515
33 0.403137411922 1.01597249508
34 0.406934127957 0.959311425686
35 0.410293750465 0.97091448307
36 0.394184311479 0.977798104286
37 0.40066441521 0.950928390026
38 0.397123850137 0.939644515514
39 0.395859649032 0.947137355804
40 0.381465317309 0.952336728573
41 0.385869709402 0.977901875973
42 0.393293021619 0.968581259251
43 0.394133951515 0.954990029335
44 0.410585907102 0.961930215359
45 0.434511099756 0.961800813675
46 0.397013319284 0.951584041119
47 0.392962875962 0.955919504166
48 0.387206992507 0.95218539238
49 0.374196711183 0.9626994133
model number is: 28537
mae:  1.06115788918
corr:  0.582122938094
mult_acc:  0.29883
mult f_score:  0.31323
Confusion Matrix :
[[265 114]
 [ 83 224]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76149   0.69921   0.72902       379
        True    0.66272   0.72964   0.69457       307

   micro avg    0.71283   0.71283   0.71283       686
   macro avg    0.71211   0.71443   0.71180       686
weighted avg    0.71729   0.71283   0.71361       686

Accuracy  0.712827988338
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 64, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [32, 32, 48], 'momentum': 0.8}, {'shapes': 32, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}]
0 1.28624137938 1.26420176029 saving model
1 1.02820147723 1.10112583637 saving model
2 0.892010658979 1.06071162224 saving model
3 0.815775197744 1.04055166245 saving model
4 0.790754175186 1.03934657574 saving model
5 0.737504865229 1.04506647587
6 0.695830364525 1.00656139851 saving model
7 0.689580526948 1.0233091116
8 0.675533695519 0.990900337696 saving model
9 0.642944926023 1.0105317831
10 0.648966635764 1.06272614002
11 0.63958940506 0.983982384205 saving model
12 0.632357510179 1.04181361198
13 0.622660160065 1.04614186287
14 0.595157210529 1.02450406551
15 0.547857785225 1.01281392574
16 0.527903148532 0.982649981976 saving model
17 0.4767934829 0.996530056
18 0.466451907903 1.01451194286
19 0.459693388641 0.991590857506
20 0.444062413275 1.00814473629
21 0.436307854205 0.997330725193
22 0.427716587484 1.00675463676
23 0.410914348066 1.00595450401
24 0.426954629272 1.01768934727
25 0.415551360697 1.01327967644
26 0.402180579305 1.0121421814
27 0.391981504858 1.01312065125
28 0.40904141292 1.02475118637
29 0.40403098762 1.04783821106
30 0.418181990832 1.06517338753
31 0.409785182402 1.03890883923
32 0.420958028734 1.01372849941
33 0.392304639146 1.03576588631
34 0.398816949129 1.00638985634
35 0.370296571031 1.01549363136
36 0.369193942845 1.02036702633
37 0.366647554934 1.02548217773
38 0.366056034714 1.03602385521
39 0.364863946289 1.0331454277
40 0.367586234212 1.04276609421
41 0.351111677662 1.02435219288
42 0.362131697685 1.02297103405
43 0.341962038726 1.02570617199
44 0.339680985734 1.02586233616
45 0.336291053891 1.02029061317
46 0.339950365573 1.01056933403
47 0.337776073068 1.03485107422
48 0.335647627711 1.03551900387
49 0.347050365806 1.03884446621
model number is: 31673
mae:  1.0554084244
corr:  0.57694152469
mult_acc:  0.31487
mult f_score:  0.33631
Confusion Matrix :
[[276 103]
 [ 82 225]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77095   0.72823   0.74898       379
        True    0.68598   0.73290   0.70866       307

   micro avg    0.73032   0.73032   0.73032       686
   macro avg    0.72846   0.73057   0.72882       686
weighted avg    0.73292   0.73032   0.73094       686

Accuracy  0.730320699708
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 256, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [88, 16, 32], 'momentum': 0.5}, {'shapes': 128, 'drop': 0.5}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.0}]
0 1.31673176289 1.40271031857 saving model
1 1.28778197765 1.36401414871 saving model
2 1.22458510399 1.27514970303 saving model
3 1.08295871019 1.16489458084 saving model
4 0.996152901649 1.13332605362 saving model
5 0.937831735611 1.11298072338 saving model
6 0.891487562656 1.08795416355 saving model
7 0.86275280714 1.06356108189 saving model
8 0.829404234886 1.03672707081 saving model
9 0.792370307446 1.02088046074 saving model
10 0.767972314358 1.00924766064 saving model
11 0.740770673752 1.00371515751 saving model
12 0.711253798008 0.996692895889 saving model
13 0.687996673584 0.994768559933 saving model
14 0.664310860634 0.993358373642 saving model
15 0.651308226585 0.989820837975 saving model
16 0.615122997761 0.991623163223
17 0.597210741043 0.994247376919
18 0.582783699036 0.987100481987 saving model
19 0.565471994877 0.984750747681 saving model
20 0.554044306278 0.987060546875
21 0.511140096188 0.987546443939
22 0.506115430593 0.992154717445
23 0.53623868227 0.99073266983
24 0.527607506514 1.02609109879
25 0.597268038988 1.05895280838
26 0.656940233707 1.03828978539
27 0.519194751978 1.0161755085
28 0.513515257835 1.02357113361
29 0.534975445271 1.01567435265
30 0.459849387407 0.996409475803
31 0.425486892462 1.00985407829
32 0.438551461697 0.9977388978
33 0.4239374578 1.00674879551
34 0.421980065107 0.997708678246
35 0.418185436726 0.993746578693
36 0.394514667988 1.00878417492
37 0.400578165054 1.00174725056
38 0.365049993992 0.998203456402
39 0.339599078894 0.984033703804 saving model
40 0.32557669878 0.989427745342
41 0.333402210474 0.987546563148
42 0.33977394104 1.01444458961
43 0.375647830963 0.999808847904
44 0.34101087153 1.01773369312
45 0.30569742918 1.00069367886
46 0.305237108469 0.991474628448
47 0.299548736215 1.01973557472
48 0.322580045462 0.997185707092
49 0.290358442068 1.00751519203
model number is: 37289
mae:  1.04307980149
corr:  0.597573278115
mult_acc:  0.33382
mult f_score:  0.34268
Confusion Matrix :
[[281  98]
 [ 89 218]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75946   0.74142   0.75033       379
        True    0.68987   0.71010   0.69984       307

   micro avg    0.72741   0.72741   0.72741       686
   macro avg    0.72467   0.72576   0.72509       686
weighted avg    0.72832   0.72741   0.72774       686

Accuracy  0.727405247813
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 64, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [156, 48, 48], 'momentum': 0.5}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.0}, {'shapes': 32, 'drop': 0.2}, {'shapes': 256, 'drop': 0.0}, {'shapes': 32, 'drop': 0.2}]
0 1.31058223248 1.37939989567 saving model
1 1.19710977674 1.15950882435 saving model
2 1.01166343987 1.09443593025 saving model
3 0.926215070486 1.03969931602 saving model
4 0.831318706274 1.01670598984 saving model
5 0.775172752142 0.992551803589 saving model
6 0.744782647491 1.00868010521
7 0.703170225024 1.01487207413
8 0.719054019451 1.03770470619
9 0.726598551869 1.02544820309
10 0.636035618186 1.00531232357
11 0.591592222452 1.02898132801
12 0.553104525805 1.03293633461
13 0.501472787559 1.01485443115
14 0.48238800168 1.016685009
15 0.457571069896 1.00767600536
16 0.437442658842 1.02310431004
17 0.432568773627 1.01553153992
18 0.42194686234 1.07057535648
19 0.413453409076 1.03204298019
20 0.40919945091 0.996560573578
21 0.407818228006 1.05638718605
22 0.396027910709 1.04511320591
23 0.369679780304 1.03083300591
24 0.383347815275 0.990550339222 saving model
25 0.346107250452 1.01564443111
26 0.353584702313 1.02353954315
27 0.341666634381 0.993653297424
28 0.340083992481 1.02645790577
29 0.332330591977 1.05018818378
30 0.354600328207 1.06837034225
31 0.332087507844 1.06233751774
32 0.335126163065 1.06996393204
33 0.311613634229 1.07162630558
34 0.326708357036 1.10522544384
35 0.334131681919 1.07699453831
36 0.316651048511 1.07907450199
37 0.389635254443 1.06080102921
38 0.433768373728 1.04439592361
39 0.396821008623 1.07491457462
40 0.344422568381 1.03988230228
41 0.305194782466 1.01340663433
42 0.265025995672 1.00558578968
43 0.250860312581 1.01329016685
44 0.248624013364 0.998455345631
45 0.241259142011 1.02392089367
46 0.254592017084 1.02337598801
47 0.250397792459 1.0190833807
48 0.246989539266 1.02944374084
49 0.263269650936 1.01372516155
model number is: 38878
mae:  1.04885015023
corr:  0.58377089702
mult_acc:  0.3105
mult f_score:  0.31726
Confusion Matrix :
[[283  96]
 [ 90 217]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75871   0.74670   0.75266       379
        True    0.69329   0.70684   0.70000       307

   micro avg    0.72886   0.72886   0.72886       686
   macro avg    0.72600   0.72677   0.72633       686
weighted avg    0.72944   0.72886   0.72909       686

Accuracy  0.728862973761
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 300, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [128, 16, 80], 'momentum': 0.9}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}, {'shapes': 64, 'drop': 0.5}]
0 1.32058076859 1.40274953842 saving model
1 1.29187893867 1.37151384354 saving model
2 1.25353109837 1.31141912937 saving model
3 1.14650666714 1.15141773224 saving model
4 1.04413764477 1.15978229046
5 0.984940028191 1.08978307247 saving model
6 0.931561732292 1.08360648155 saving model
7 0.90079805851 1.0557410717 saving model
8 0.859388411045 1.03625226021 saving model
9 0.84239565134 1.04085898399
10 0.827429759502 1.0382090807
11 0.801180255413 1.04898869991
12 0.784533345699 1.05354368687
13 0.779924428463 1.04766058922
14 0.765289020538 1.02467870712 saving model
15 0.759113013744 1.00678169727 saving model
16 0.726709210873 1.00970339775
17 0.711975109577 1.03274786472
18 0.704471993446 1.02923083305
19 0.691453135014 1.01573586464
20 0.670391833782 1.01148545742
21 0.653568029404 1.00770664215
22 0.640614879131 1.01839208603
23 0.621238255501 1.01722669601
24 0.613482999802 1.02067184448
25 0.62245811224 1.01018691063
26 0.645499837399 1.04769396782
27 0.638019096851 0.99114382267 saving model
28 0.585925364494 0.998868584633
29 0.557993388176 1.03143405914
30 0.566655790806 1.01746308804
31 0.56291205883 0.987460076809 saving model
32 0.53951536417 1.00722789764
33 0.536053431034 1.01603209972
34 0.508159774542 1.03711414337
35 0.51188441515 1.02785778046
36 0.510053992271 1.00155067444
37 0.486922162771 1.00619673729
38 0.484018099308 1.01131045818
39 0.466110432148 1.03220236301
40 0.470542025566 1.06165957451
41 0.48602284193 1.00672900677
42 0.427261096239 1.01627516747
43 0.42306304574 1.01791083813
44 0.409338694811 1.02265775204
45 0.409863728285 1.0161806345
46 0.395820188522 1.00609195232
47 0.378946471214 1.01715314388
48 0.394585192204 1.01420736313
49 0.391151386499 1.03313958645
model number is: 94483
mae:  0.978687189275
corr:  0.651365373259
mult_acc:  0.33236
mult f_score:  0.35531
Confusion Matrix :
[[298  81]
 [ 92 215]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76410   0.78628   0.77503       379
        True    0.72635   0.70033   0.71310       307

   micro avg    0.74781   0.74781   0.74781       686
   macro avg    0.74523   0.74330   0.74407       686
weighted avg    0.74721   0.74781   0.74732       686

Accuracy  0.747813411079
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 128, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [156, 80, 48], 'momentum': 0.3}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.5}]
0 1.25878213942 1.1784914732 saving model
1 0.977278976142 1.04223787785 saving model
2 0.872064247727 1.05168747902
3 0.791854466498 1.01635527611 saving model
4 0.711161568761 0.955139577389 saving model
5 0.677471324801 0.936700165272 saving model
6 0.587532065809 0.915629208088 saving model
7 0.603528915346 0.912059247494 saving model
8 0.560850341618 0.926646053791
9 0.539585437626 0.994345068932
10 0.522490067035 0.950247883797
11 0.507526888698 1.00828325748
12 0.494248390943 1.00597882271
13 0.523985946178 0.932723343372
14 0.513465432823 0.994404554367
15 0.485288564861 0.936439156532
16 0.457770619541 0.952174842358
17 0.415048603714 0.94579154253
18 0.411912745982 0.919562220573
19 0.405211738497 0.946379423141
20 0.386666423082 0.989626169205
21 0.398033414781 0.951542496681
22 0.366615331545 0.974530875683
23 0.358953619748 0.963899493217
24 0.359947363287 0.932034313679
25 0.368814833462 0.936338722706
26 0.358107144386 0.90823829174 saving model
27 0.345935725048 0.923111736774
28 0.334670753777 0.921945214272
29 0.312946698442 0.924047887325
30 0.330592768639 0.942269265652
31 0.324897146598 0.96041893959
32 0.314444880933 0.939312934875
33 0.325014340132 0.930306315422
34 0.296877096966 0.929823517799
35 0.299090815336 0.90200728178 saving model
36 0.329672855884 0.938572645187
37 0.315804804489 0.926121532917
38 0.323233510554 0.917386054993
39 0.315350355208 0.918105840683
40 0.306536206603 0.935379385948
41 0.333958692104 0.921286225319
42 0.317545740679 0.947793364525
43 0.316254495084 0.961912751198
44 0.332587255165 1.00385212898
45 0.312788301334 0.934531807899
46 0.297619429976 0.914447784424
47 0.334966184944 0.940133690834
48 0.307668378949 0.929784238338
49 0.3164866779 0.896539270878 saving model
model number is: 85045
mae:  1.0089383726
corr:  0.621153762282
mult_acc:  0.32507
mult f_score:  0.33445
Confusion Matrix :
[[284  95]
 [ 82 225]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77596   0.74934   0.76242       379
        True    0.70312   0.73290   0.71770       307

   micro avg    0.74198   0.74198   0.74198       686
   macro avg    0.73954   0.74112   0.74006       686
weighted avg    0.74336   0.74198   0.74241       686

Accuracy  0.741982507289
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 128, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [128, 16, 48], 'momentum': 0.3}, {'shapes': 128, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}]
0 1.23628475815 1.10790681839 saving model
1 0.988018400967 1.03887593746 saving model
2 0.886498880386 1.03716683388 saving model
3 0.788087080419 1.03124368191 saving model
4 0.737663580477 0.978727579117 saving model
5 0.677446198463 0.975924134254 saving model
6 0.641655145586 0.969531238079 saving model
7 0.594897492975 0.970398068428
8 0.570653140545 0.969084084034 saving model
9 0.566779436916 1.01348519325
10 0.492593963444 0.985748291016
11 0.478523316979 0.971164226532
12 0.462606486678 0.948931574821 saving model
13 0.434990799427 0.959442675114
14 0.418667212129 1.03052306175
15 0.428513967991 0.989392518997
16 0.408450403064 1.00933206081
17 0.397864153981 1.00445258617
18 0.400999400765 0.951811432838
19 0.376134460419 0.930072903633 saving model
20 0.376689879596 0.966720223427
21 0.366827849299 0.923871695995 saving model
22 0.369536267221 0.959456920624
23 0.329088000953 0.945129513741
24 0.301521527395 0.936376392841
25 0.307489056513 0.93795388937
26 0.301944095269 0.973749339581
27 0.290148097649 0.950398802757
28 0.280839603394 0.950259685516
29 0.268230431527 0.922950029373 saving model
30 0.282273306698 0.937123596668
31 0.275329966098 0.92529964447
32 0.304021640122 0.948903560638
33 0.292418913916 0.952894330025
34 0.282462832704 0.931689679623
35 0.253431234509 0.935898721218
36 0.26233102791 0.970376670361
37 0.269548276439 0.93979883194
38 0.27167725563 0.97170984745
39 0.270353346691 0.98501342535
40 0.271158683673 0.965270459652
41 0.268841798976 0.968384861946
42 0.267325161397 0.94082313776
43 0.267183358222 0.940803647041
44 0.261685112119 0.966112434864
45 0.26380860284 0.965606272221
46 0.256863806769 1.00730264187
47 0.265460567921 0.987207889557
48 0.253335454315 0.960406899452
49 0.25042835027 0.96321195364
model number is: 73079
mae:  1.0397188671
corr:  0.586857369406
mult_acc:  0.32362
mult f_score:  0.32963
Confusion Matrix :
[[286  93]
 [ 93 214]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75462   0.75462   0.75462       379
        True    0.69707   0.69707   0.69707       307

   micro avg    0.72886   0.72886   0.72886       686
   macro avg    0.72584   0.72584   0.72584       686
weighted avg    0.72886   0.72886   0.72886       686

Accuracy  0.728862973761
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 256, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [64, 48, 80], 'momentum': 0.9}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.2}, {'shapes': 256, 'drop': 0.2}]
0 1.28492244482 1.32366788387 saving model
1 1.06344974637 1.23516499996 saving model
2 0.960337030888 1.15591621399 saving model
3 0.876992988586 1.14058661461 saving model
4 0.8419721663 1.11187565327 saving model
5 0.855185747147 1.05654895306 saving model
6 0.87749196291 1.06634926796
7 0.795139783621 1.01802825928 saving model
8 0.7140591681 0.978555083275 saving model
9 0.655606871843 0.969592452049 saving model
10 0.619466716051 0.984723269939
11 0.571039324999 0.977150440216
12 0.537544757128 0.994473814964
13 0.511383959651 1.00075948238
14 0.513239297271 0.975433349609
15 0.43998388052 0.995561480522
16 0.414896968007 1.02233159542
17 0.401443868876 0.971970617771
18 0.375478333235 1.03786170483
19 0.375253927708 1.04260826111
20 0.388074380159 1.02465224266
21 0.37809638381 1.01263415813
22 0.403719046712 1.0599988699
23 0.452733287215 1.03946137428
24 0.38028627336 1.01468098164
25 0.427547979355 1.03597533703
26 0.470182389021 1.17137873173
27 0.61236769259 1.04868733883
28 0.390547466278 0.96907633543 saving model
29 0.311890652776 0.978351175785
30 0.288929642737 0.973530352116
31 0.262810786068 0.98392188549
32 0.272245836258 0.968936443329 saving model
33 0.280749253929 0.999469101429
34 0.292023338377 1.02728235722
35 0.340412285924 0.995767295361
36 0.353885169327 0.998706638813
37 0.3017688483 1.0066986084
38 0.27076805383 0.97481071949
39 0.262539985776 0.989388823509
40 0.252629485726 1.00265359879
41 0.292388360202 0.995842635632
42 0.260494826734 1.01787745953
43 0.268093347549 1.01033461094
44 0.252001227438 0.981578290462
45 0.21524643749 0.998723864555
46 0.22201025933 1.00916600227
47 0.236106970906 0.992054641247
48 0.228752234578 1.02703022957
49 0.254783660173 1.00963497162
model number is: 31130
mae:  1.06210859727
corr:  0.577415933634
mult_acc:  0.28717
mult f_score:  0.29657
Confusion Matrix :
[[274 105]
 [ 91 216]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75068   0.72296   0.73656       379
        True    0.67290   0.70358   0.68790       307

   micro avg    0.71429   0.71429   0.71429       686
   macro avg    0.71179   0.71327   0.71223       686
weighted avg    0.71587   0.71429   0.71478       686

Accuracy  0.714285714286
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 64, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [88, 8, 80], 'momentum': 0.6}, {'shapes': 32, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}]
0 1.30237737894 1.39952147007 saving model
1 1.14975569248 1.23060333729 saving model
2 0.988665473461 1.07271277905 saving model
3 0.826871752739 1.04942595959 saving model
4 0.721962988377 0.993726789951 saving model
5 0.625191736221 0.950086474419 saving model
6 0.569014650583 0.978375673294
7 0.533000263572 0.972264707088
8 0.521080514789 1.01078271866
9 0.558125185966 1.07319879532
10 0.533255389333 1.11298298836
11 0.559121334553 1.00417220592
12 0.481718927622 0.994007825851
13 0.522645041347 1.05316114426
14 0.583486303687 1.07596862316
15 0.566670906544 1.01904273033
16 0.497026187181 0.975379228592
17 0.376870033145 0.980039477348
18 0.391400322318 0.985793709755
19 0.413925105333 1.0433318615
20 0.43881599009 0.969638586044
21 0.345018228889 0.993679821491
22 0.318124231696 0.988841533661
23 0.323613670468 0.976934969425
24 0.345840525627 0.994826793671
25 0.376553308964 0.94912314415 saving model
26 0.340774661303 0.995370149612
27 0.304430356622 0.995460867882
28 0.290160247684 0.99957549572
29 0.30628657639 0.972429037094
30 0.301720064878 0.958692073822
31 0.28570112586 0.970906734467
32 0.28572652638 0.986774981022
33 0.284707966447 1.0096886158
34 0.298648396134 0.977106034756
35 0.308437898755 1.00414216518
36 0.291592133045 1.0143982172
37 0.250814393163 0.985880553722
38 0.237317296863 0.968858122826
39 0.253006660938 0.958309531212
40 0.23142567873 0.983772218227
41 0.232551424205 0.98335570097
42 0.229215349257 0.968755304813
43 0.222373794019 0.968486726284
44 0.205690737069 0.967448949814
45 0.202844138443 0.970875322819
46 0.208114780486 0.990792930126
47 0.213314849138 0.97411352396
48 0.225939851999 0.984137415886
49 0.230690692365 0.967973649502
model number is: 84752
mae:  1.01568607009
corr:  0.591045722502
mult_acc:  0.33528
mult f_score:  0.33722
Confusion Matrix :
[[293  86]
 [102 205]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74177   0.77309   0.75711       379
        True    0.70447   0.66775   0.68562       307

   micro avg    0.72595   0.72595   0.72595       686
   macro avg    0.72312   0.72042   0.72136       686
weighted avg    0.72508   0.72595   0.72511       686

Accuracy  0.725947521866
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 400, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [256, 48, 8], 'momentum': 0.1}, {'shapes': 128, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.5}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}]
0 1.28036224842 1.32232165337 saving model
1 1.0900270313 1.28520131111 saving model
2 0.956294676661 1.01975309849 saving model
3 0.856647655368 1.01143991947 saving model
4 0.752089565992 0.977652430534 saving model
5 0.67820687592 0.974838733673 saving model
6 0.62627979815 0.955272436142 saving model
7 0.665130630136 1.01489627361
8 0.663138911128 0.970592498779
9 0.561525127292 0.962245941162
10 0.521295978129 0.962461233139
11 0.508275710046 0.947313070297 saving model
12 0.509626872838 1.0764067173
13 0.569565056264 0.982448816299
14 0.458385035396 0.974524021149
15 0.441599316895 0.966544210911
16 0.428441315889 0.963378965855
17 0.400410158932 0.955493748188
18 0.403696744144 0.980247914791
19 0.402294963598 0.991808116436
20 0.410800343752 1.04564678669
21 0.425238983333 1.03730869293
22 0.522374160588 1.11040222645
23 0.592558865249 0.977738618851
24 0.470729315281 0.992169618607
25 0.464649435878 0.96464073658
26 0.408306962252 0.930617928505 saving model
27 0.374002455175 0.958071172237
28 0.355021771789 0.959473311901
29 0.353473322093 0.955556809902
30 0.327709503472 0.958846032619
31 0.323439109325 0.985978066921
32 0.336091502011 1.00702130795
33 0.331388397515 1.01208257675
34 0.371481429785 0.98040407896
35 0.440692916512 0.962652862072
36 0.392244939506 0.956091880798
37 0.389135956764 0.954669892788
38 0.396512468159 0.933594703674
39 0.361576230824 0.946636855602
40 0.343432967365 0.954739689827
41 0.334772500396 1.00156140327
42 0.32484267205 0.986509919167
43 0.351881159842 0.992389261723
44 0.381943537295 0.968699514866
45 0.412683574855 0.971773743629
46 0.453410433233 1.05580985546
47 0.506359486282 1.12207114697
48 0.505391579866 1.07816684246
49 0.469518963993 1.00463056564
model number is: 91648
mae:  1.06830531056
corr:  0.579195074118
mult_acc:  0.28571
mult f_score:  0.2993
Confusion Matrix :
[[275 104]
 [ 90 217]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75342   0.72559   0.73925       379
        True    0.67601   0.70684   0.69108       307

   micro avg    0.71720   0.71720   0.71720       686
   macro avg    0.71472   0.71622   0.71517       686
weighted avg    0.71878   0.71720   0.71769       686

Accuracy  0.717201166181
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [156, 16, 48], 'momentum': 0.5}, {'shapes': 128, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}]
0 1.29380712509 1.25124073029 saving model
1 1.01925311089 1.10931777954 saving model
2 0.8571785748 1.04940664768 saving model
3 0.769921648502 1.01981008053 saving model
4 0.693416237831 0.968793272972 saving model
5 0.657620829344 0.943683743477 saving model
6 0.682878684998 0.973468184471
7 0.605729395151 1.01531410217
8 0.534297850728 0.933108150959 saving model
9 0.496602109075 0.967451453209
10 0.440226733685 0.928441345692 saving model
11 0.408051645756 0.958243131638
12 0.40784291923 0.96583032608
13 0.409988391399 1.16248679161
14 0.563695144653 1.01690149307
15 0.6432934165 1.0535145998
16 0.489283174276 0.950157105923
17 0.418051999807 0.953298866749
18 0.329447865486 0.916891992092 saving model
19 0.297547799349 0.929347515106
20 0.283959653974 0.966472566128
21 0.31758390367 0.929056763649
22 0.363115212321 1.01700484753
23 0.444507101178 0.993999838829
24 0.403483238816 0.944255650043
25 0.338411080837 0.965244591236
26 0.301725663245 0.965065836906
27 0.30917879194 0.954192698002
28 0.30782032311 0.951680839062
29 0.308403941989 0.943112015724
30 0.291059496999 0.965996623039
31 0.274295139313 0.971639990807
32 0.255744335055 0.921058416367
33 0.24992993623 0.934816479683
34 0.242249415815 0.9688808918
35 0.246372660995 0.951495587826
36 0.268308308721 0.986534535885
37 0.254651936889 0.925665557384
38 0.223699319363 0.944796085358
39 0.239707425237 0.962643861771
40 0.232494692504 0.953862369061
41 0.233762338758 0.970587849617
42 0.234561574459 0.927402436733
43 0.210375823081 0.936795175076
44 0.225539840758 0.949102282524
45 0.2500378564 0.965946018696
46 0.265758249164 0.931892216206
47 0.240789730847 0.934791266918
48 0.204234357178 0.948315083981
49 0.20678165555 0.958838105202
model number is: 20929
mae:  1.08866795627
corr:  0.561296375234
mult_acc:  0.3207
mult f_score:  0.33013
Confusion Matrix :
[[270 109]
 [ 85 222]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76056   0.71240   0.73569       379
        True    0.67069   0.72313   0.69592       307

   micro avg    0.71720   0.71720   0.71720       686
   macro avg    0.71563   0.71776   0.71581       686
weighted avg    0.72035   0.71720   0.71790       686

Accuracy  0.717201166181
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 256, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [156, 8, 64], 'momentum': 0.3}, {'shapes': 256, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 256, 'drop': 0.0}, {'shapes': 32, 'drop': 0.5}]
0 1.3037742734 1.28271985054 saving model
1 1.18083490133 1.24615001678 saving model
2 1.09662411213 1.15745460987 saving model
3 0.956642490625 1.07981097698 saving model
4 0.900898712873 1.00929641724 saving model
5 0.85210968852 1.01452815533
6 0.781283193827 0.986689388752 saving model
7 0.733481889963 0.997676551342
8 0.691374069452 0.983059108257 saving model
9 0.630930536985 0.977440237999 saving model
10 0.619851011038 0.966184079647 saving model
11 0.575784933567 0.94397008419 saving model
12 0.526735502481 0.968399107456
13 0.518741825223 0.953254938126
14 0.521370244026 0.972356617451
15 0.494833686948 0.926331818104 saving model
16 0.49394300878 0.94403141737
17 0.485298970342 0.987510859966
18 0.499164515734 1.03260886669
19 0.506672096252 1.07670378685
20 0.56650851965 0.953054785728
21 0.625845426321 1.01378417015
22 0.575430607796 0.938190162182
23 0.464193841815 0.975562632084
24 0.437514948845 0.962077438831
25 0.404378989339 0.974786698818
26 0.407600414753 0.960157930851
27 0.401077410579 0.984000921249
28 0.403454577923 0.983206272125
29 0.397715571523 0.95215088129
30 0.396855229139 0.956341564655
31 0.384604758024 0.982227563858
32 0.385235527158 0.972914278507
33 0.400236904621 0.970165491104
34 0.387123543024 0.953400731087
35 0.394403079152 0.97370839119
36 0.395850476623 0.946502029896
37 0.37944149971 0.954600095749
38 0.364169061184 0.968020319939
39 0.365323600173 0.975850820541
40 0.357260367274 0.954956829548
41 0.34442576468 0.97122079134
42 0.331315752864 0.991160988808
43 0.34514144063 0.972176015377
44 0.343007060885 0.952800214291
45 0.333958786726 0.940653502941
46 0.350322771072 0.937326729298
47 0.327947738767 0.960475981236
48 0.329178252816 0.947519540787
49 0.328081256151 0.968232452869
model number is: 2831
mae:  1.0479106938
corr:  0.594202553571
mult_acc:  0.3105
mult f_score:  0.32114
Confusion Matrix :
[[274 105]
 [ 72 235]]
Classification Report :
              precision    recall  f1-score   support

       False    0.79191   0.72296   0.75586       379
        True    0.69118   0.76547   0.72643       307

   micro avg    0.74198   0.74198   0.74198       686
   macro avg    0.74154   0.74421   0.74115       686
weighted avg    0.74683   0.74198   0.74269       686

Accuracy  0.741982507289
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 64, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [256, 48, 80], 'momentum': 0.5}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.2}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.2}]
0 1.19367859364 1.13937354088 saving model
1 0.964810109138 1.14940476418
2 0.873495179415 1.03183078766 saving model
3 0.795445722342 1.02023923397 saving model
4 0.713873356581 0.969812631607 saving model
5 0.627163362503 0.930139660835 saving model
6 0.56469990015 0.967976927757
7 0.542356267571 0.943342983723
8 0.46777664721 0.916330218315 saving model
9 0.521278443933 0.945032298565
10 0.551918017864 1.01277518272
11 0.542854446173 1.02774298191
12 0.569599157572 0.928771317005
13 0.430534797907 0.9534252882
14 0.414774659276 0.977201700211
15 0.414456000924 1.01904547215
16 0.501643705368 1.10658431053
17 0.557185420394 1.01788496971
18 0.467193096876 0.966276347637
19 0.384081214666 0.958332300186
20 0.354809698462 0.976495862007
21 0.35563801527 0.985684335232
22 0.382493487 0.969703435898
23 0.394013360143 0.993835628033
24 0.430504319072 0.984273731709
25 0.318297991157 0.96866363287
26 0.291859284043 0.938534617424
27 0.274692668021 0.982298314571
28 0.333705660701 0.943123519421
29 0.337003174424 0.981540977955
30 0.284334844351 0.963216125965
31 0.256446300447 0.945942759514
32 0.239572997391 0.943560481071
33 0.266333320737 0.943468511105
34 0.271701724827 0.978017687798
35 0.243122461438 0.950818479061
36 0.22093757391 0.945957481861
37 0.236428137124 0.930378854275
38 0.282206436992 0.962827980518
39 0.243899621069 0.960741460323
40 0.221046973765 0.947893023491
41 0.216820883751 0.948311030865
42 0.219938732684 0.926188051701
43 0.22318251133 0.972702503204
44 0.212154646218 0.947866439819
45 0.203175194561 0.938786923885
46 0.210459946096 0.940074086189
47 0.214155037701 0.950325250626
48 0.190930382907 0.945584893227
49 0.19431078434 0.951121985912
model number is: 72314
mae:  1.03094062593
corr:  0.600785527458
mult_acc:  0.30321
mult f_score:  0.30565
Confusion Matrix :
[[317  62]
 [119 188]]
Classification Report :
              precision    recall  f1-score   support

       False    0.72706   0.83641   0.77791       379
        True    0.75200   0.61238   0.67504       307

   micro avg    0.73615   0.73615   0.73615       686
   macro avg    0.73953   0.72439   0.72648       686
weighted avg    0.73822   0.73615   0.73188       686

Accuracy  0.736151603499
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [88, 16, 48], 'momentum': 0.1}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}, {'shapes': 64, 'drop': 0.2}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.2}]
0 1.22462630272 1.22444498539 saving model
1 1.00004470944 1.10139834881 saving model
2 0.881148838997 1.06761598587 saving model
3 0.792879229784 1.03587722778 saving model
4 0.697762310505 1.00192070007 saving model
5 0.64170140624 1.00022566319 saving model
6 0.593559026718 0.975567817688 saving model
7 0.559960287809 0.957070291042 saving model
8 0.50198135674 0.962109386921
9 0.468589523435 0.947890758514 saving model
10 0.451091608405 0.976972043514
11 0.458978265524 0.971186101437
12 0.469172805548 0.976275503635
13 0.434967720509 0.949273586273
14 0.479276922345 1.08510315418
15 0.574453806877 1.04618406296
16 0.580364173651 0.996750354767
17 0.396410411596 0.968708872795
18 0.38238915801 0.998783946037
19 0.375244554877 0.966494202614
20 0.367233562469 1.0030708313
21 0.345533746481 0.977438032627
22 0.367855289578 0.92885696888 saving model
23 0.355881199241 0.979205191135
24 0.34370111227 0.988942265511
25 0.327594283223 0.957903623581
26 0.320118695498 0.963385462761
27 0.309359458089 0.941867351532
28 0.296396484971 0.962884545326
29 0.285371240973 0.948469221592
30 0.279272814095 0.950611650944
31 0.279942572117 0.940951943398
32 0.281238433719 0.932527899742
33 0.296123069525 0.947532773018
34 0.278317295015 0.954508423805
35 0.277767620981 0.942641973495
36 0.266182662547 0.903987288475 saving model
37 0.242340873182 0.919641077518
38 0.241939948499 0.954442858696
39 0.254582439363 0.942059516907
40 0.249050906301 0.935826301575
41 0.246057216823 0.943426966667
42 0.24540604651 0.935193657875
43 0.235443489254 0.930698156357
44 0.233225907385 0.957758903503
45 0.246742925048 0.952123761177
46 0.24036244452 0.950498878956
47 0.258334118128 0.942206680775
48 0.242054507136 0.93200814724
49 0.232289080322 0.93609803915
model number is: 38340
mae:  1.01926876354
corr:  0.608223323132
mult_acc:  0.3207
mult f_score:  0.32858
Confusion Matrix :
[[281  98]
 [ 81 226]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77624   0.74142   0.75843       379
        True    0.69753   0.73616   0.71632       307

   micro avg    0.73907   0.73907   0.73907       686
   macro avg    0.73689   0.73879   0.73738       686
weighted avg    0.74102   0.73907   0.73959       686

Accuracy  0.739067055394
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [128, 64, 32], 'momentum': 0.8}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}, {'shapes': 32, 'drop': 0.7}, {'shapes': 32, 'drop': 0.7}, {'shapes': 256, 'drop': 0.5}]
0 1.32109539509 1.37865388393 saving model
1 1.19935570359 1.19245672226 saving model
2 1.0320397377 1.10912311077 saving model
3 0.924893414974 1.07363021374 saving model
4 0.878351902962 1.04966294765 saving model
5 0.860752940178 1.07338643074
6 0.855716991425 1.12156367302
7 0.825613468885 1.00326001644 saving model
8 0.719487756491 0.978080809116 saving model
9 0.652664548159 0.987847864628
10 0.611684322357 0.993248581886
11 0.575668895245 1.02165079117
12 0.539727669954 1.01264369488
13 0.531831085682 1.03680801392
14 0.568708261847 1.02746880054
15 0.519931742549 1.01461827755
16 0.511108151078 1.04061341286
17 0.526473787427 1.02565932274
18 0.499032145739 1.00949919224
19 0.454364281893 1.06845569611
20 0.42909732461 0.998951852322
21 0.375496578217 1.03037071228
22 0.365518662333 1.01163268089
23 0.36660618186 1.00576448441
24 0.354805222154 1.04355013371
25 0.338838228583 1.03919219971
26 0.376230326295 1.00028514862
27 0.311014926434 1.03376793861
28 0.311194610596 1.02871453762
29 0.298740513623 1.01195514202
30 0.286349266768 1.00773966312
31 0.276925730705 1.00414633751
32 0.276349504292 1.02100479603
33 0.27077691555 1.03377127647
34 0.281382709742 1.00363171101
35 0.260923451185 1.04114246368
36 0.254631628096 1.01314616203
37 0.267351971567 1.04525530338
38 0.275179542601 0.973353147507 saving model
39 0.276537925005 1.01248919964
40 0.247364491224 1.02133631706
41 0.241510875523 1.02969956398
42 0.257353064418 0.990415334702
43 0.240424269438 1.00347661972
44 0.233212383091 1.02175521851
45 0.234224371612 1.01323235035
46 0.224081380665 1.03528773785
47 0.238766846061 1.00291466713
48 0.227792572975 1.01937866211
49 0.216616685688 1.01842546463
model number is: 31890
mae:  1.05433125725
corr:  0.568434007601
mult_acc:  0.30029
mult f_score:  0.30138
Confusion Matrix :
[[294  85]
 [115 192]]
Classification Report :
              precision    recall  f1-score   support

       False    0.71883   0.77573   0.74619       379
        True    0.69314   0.62541   0.65753       307

   micro avg    0.70845   0.70845   0.70845       686
   macro avg    0.70598   0.70057   0.70186       686
weighted avg    0.70733   0.70845   0.70652       686

Accuracy  0.708454810496
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 64, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [64, 16, 64], 'momentum': 0.3}, {'shapes': 64, 'drop': 0.2}, {'shapes': 256, 'drop': 0.7}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.0}]
0 1.15794878304 1.12539577484 saving model
1 0.917088091373 1.09800565243 saving model
2 0.808475904167 1.04155611992 saving model
3 0.716892980039 1.04241132736
4 0.667500030249 1.01478374004 saving model
5 0.633060900867 0.990713596344 saving model
6 0.547696250677 0.939243614674 saving model
7 0.513399039209 1.00208473206
8 0.470547096431 0.972204506397
9 0.456198551506 1.0165938139
10 0.465423537046 0.872041285038 saving model
11 0.450276850909 0.926115334034
12 0.448583646119 0.960745334625
13 0.377055136859 0.950120151043
14 0.350522494316 0.918879270554
15 0.306852998585 0.947452545166
16 0.284701338783 0.927129626274
17 0.262825309858 0.886763930321
18 0.29156995602 0.887253403664
19 0.355935477093 0.942622661591
20 0.325719892234 0.912342607975
21 0.267063817009 0.950563549995
22 0.235670193657 0.967329442501
23 0.27237630114 0.871426939964 saving model
24 0.245306616649 0.878842711449
25 0.241809345782 0.899630725384
26 0.242490102351 0.949816584587
27 0.25809033066 0.941940248013
28 0.232461938635 0.88867264986
29 0.213637667522 0.86741900444 saving model
30 0.226957901567 0.901045620441
31 0.226187084243 0.934297680855
32 0.209259143285 0.965643882751
33 0.210943944752 0.897637009621
34 0.238344331458 0.871660172939
35 0.257398801669 0.884908497334
36 0.191841313988 0.91949737072
37 0.189209765568 0.959436118603
38 0.205868816003 0.875736713409
39 0.225708136149 0.891405940056
40 0.188375792839 0.890605807304
41 0.190237903967 0.939384639263
42 0.186658479646 0.885505795479
43 0.189287886769 0.881999254227
44 0.199674940854 0.875808894634
45 0.203694104031 0.922152101994
46 0.16238253247 0.873309910297
47 0.163596406393 0.885695636272
48 0.146554233134 0.884264528751
49 0.165262567811 0.872309863567
model number is: 95945
mae:  1.04869864557
corr:  0.587779992044
mult_acc:  0.32799
mult f_score:  0.34727
Confusion Matrix :
[[270 109]
 [ 84 223]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76271   0.71240   0.73670       379
        True    0.67169   0.72638   0.69797       307

   micro avg    0.71866   0.71866   0.71866       686
   macro avg    0.71720   0.71939   0.71733       686
weighted avg    0.72198   0.71866   0.71936       686

Accuracy  0.718658892128
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 64, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [128, 16, 32], 'momentum': 0.9}, {'shapes': 256, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}, {'shapes': 128, 'drop': 0.0}]
0 1.30014958382 1.43947565556 saving model
1 1.21812939644 1.34959459305 saving model
2 1.12751719952 1.17734229565 saving model
3 0.999319791794 1.11159753799 saving model
4 0.883094227314 1.03405880928 saving model
5 0.786413955688 1.02747058868 saving model
6 0.708831679821 0.981088280678 saving model
7 0.670198392868 1.01145672798
8 0.643540990353 1.04232919216
9 0.652932822704 1.01793527603
10 0.564378082752 0.9938980937
11 0.503826212883 0.996776044369
12 0.434955686331 0.991964280605
13 0.393157225847 0.991285324097
14 0.357459276915 1.01214599609
15 0.354095822573 1.00281739235
16 0.376323366165 1.07037615776
17 0.443524807692 1.01274681091
18 0.386655801535 0.99836742878
19 0.366594594717 0.989387989044
20 0.315256369114 0.969854652882 saving model
21 0.268485221267 0.975526213646
22 0.246455100179 0.96515828371 saving model
23 0.24501414001 0.974960803986
24 0.231509432197 0.975676715374
25 0.220221883059 0.957072556019 saving model
26 0.218512377143 0.971931695938
27 0.274172753096 0.963256776333
28 0.246704721451 0.974592924118
29 0.221878343821 0.961631834507
30 0.187042710185 0.975787460804
31 0.190203419328 0.97382247448
32 0.200750756264 0.96748226881
33 0.184552425146 0.959172070026
34 0.152730554342 0.972342193127
35 0.160024416447 0.961682379246
36 0.163428479433 0.989229798317
37 0.188642421365 0.963017821312
38 0.143945421278 0.969168305397
39 0.153059285879 0.976447999477
40 0.160629019141 0.968126654625
41 0.158709284663 0.972337543964
42 0.138088974357 0.976165413857
43 0.143924117088 0.971132099628
44 0.154647533596 0.964713692665
45 0.125996124744 0.965115368366
46 0.131592074037 0.973185360432
47 0.128466543555 0.976342082024
48 0.140752291679 0.966320574284
49 0.126477837563 0.966344177723
model number is: 61234
mae:  1.07591504811
corr:  0.576232980717
mult_acc:  0.29155
mult f_score:  0.30595
Confusion Matrix :
[[269 110]
 [ 96 211]]
Classification Report :
              precision    recall  f1-score   support

       False    0.73699   0.70976   0.72312       379
        True    0.65732   0.68730   0.67197       307

   micro avg    0.69971   0.69971   0.69971       686
   macro avg    0.69715   0.69853   0.69755       686
weighted avg    0.70133   0.69971   0.70023       686

Accuracy  0.69970845481
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 64, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [88, 16, 32], 'momentum': 0.8}, {'shapes': 256, 'drop': 0.0}, {'shapes': 64, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}]
0 1.26051819623 1.27201402187 saving model
1 1.11464371979 1.07280027866 saving model
2 0.995768432319 1.03595602512 saving model
3 0.905157953501 1.05343103409
4 0.834156537056 1.0303696394 saving model
5 0.77364680618 1.00697290897 saving model
6 0.755863414705 1.00514912605 saving model
7 0.705037407577 0.996511280537 saving model
8 0.715795774013 0.982826173306 saving model
9 0.699901482463 1.02157664299
10 0.663366100937 1.04611051083
11 0.643831475079 0.963741540909 saving model
12 0.608208861202 0.968846619129
13 0.607352292538 0.975919783115
14 0.56916603595 0.977609932423
15 0.552244366705 0.999627113342
16 0.53892140165 0.963799774647
17 0.562098041922 0.982599079609
18 0.541911679506 0.973796308041
19 0.532004384696 0.984297156334
20 0.524999821186 0.973426640034
21 0.521472726762 0.962649106979 saving model
22 0.541097596288 0.987513124943
23 0.51455148384 0.964682638645
24 0.505944152921 0.971937716007
25 0.508299215883 1.0115455389
26 0.499479084462 0.986611306667
27 0.477877203375 0.98333209753
28 0.498260989785 0.990149736404
29 0.48729076609 0.962830901146
30 0.489071246982 1.01330065727
31 0.479021630436 0.946906983852 saving model
32 0.469720065594 0.98183041811
33 0.480159913749 0.95413684845
34 0.47902744934 0.939796090126 saving model
35 0.476596135646 0.972489655018
36 0.471066961437 0.9483101964
37 0.482621689886 0.928391993046 saving model
38 0.499538186193 0.985101699829
39 0.471925575286 0.960402786732
40 0.484214691073 0.982927799225
41 0.449102241546 0.973992466927
42 0.467782022804 0.974897384644
43 0.46605932489 0.932856380939
44 0.468487431854 0.980085432529
45 0.493299022317 0.966635704041
46 0.466765975207 1.00204694271
47 0.471185864881 0.942344546318
48 0.450557415932 0.932837665081
49 0.475777741522 0.986051738262
model number is: 91950
mae:  1.06735882155
corr:  0.596280186526
mult_acc:  0.29155
mult f_score:  0.31375
Confusion Matrix :
[[264 115]
 [ 76 231]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77647   0.69657   0.73435       379
        True    0.66763   0.75244   0.70750       307

   micro avg    0.72157   0.72157   0.72157       686
   macro avg    0.72205   0.72451   0.72093       686
weighted avg    0.72776   0.72157   0.72234       686

Accuracy  0.721574344023
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 64, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [128, 48, 64], 'momentum': 0.3}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}, {'shapes': 32, 'drop': 0.7}]
0 1.30802350044 1.36677539349 saving model
1 1.19417691231 1.19753372669 saving model
2 1.0759500742 1.14760243893 saving model
3 1.00120774508 1.11147320271 saving model
4 0.975997316837 1.08256101608 saving model
5 0.940560162067 1.07197797298 saving model
6 0.882939624786 0.978853821754 saving model
7 0.870355296135 1.00079703331
8 0.854920470715 1.01371479034
9 0.803102660179 0.993661522865
10 0.793933188915 0.995812892914
11 0.784533715248 1.01470088959
12 0.774936378002 0.99190735817
13 0.706736719608 1.00251185894
14 0.700663626194 0.974714815617 saving model
15 0.644141089916 0.984023928642
16 0.642858767509 0.995133459568
17 0.639799559116 0.961714148521 saving model
18 0.588343322277 0.984239041805
19 0.603929638863 1.00249564648
20 0.580629765987 0.980882287025
21 0.586931836605 1.01049661636
22 0.574547123909 0.990805566311
23 0.589952075481 0.972646296024
24 0.552680754662 0.980156540871
25 0.519066572189 0.967598855495
26 0.51759762764 0.965919733047
27 0.514486283064 0.99101370573
28 0.500485169888 0.992200136185
29 0.501302915812 0.954655826092 saving model
30 0.485368204117 0.956619918346
31 0.507661813498 0.991912722588
32 0.481969219446 0.985500156879
33 0.473999744654 0.968325018883
34 0.464634287357 0.978028655052
35 0.477014499903 0.952545285225 saving model
36 0.477471727133 0.986018359661
37 0.485522121191 0.970714867115
38 0.466032356024 0.969415783882
39 0.466239601374 0.926939249039 saving model
40 0.460060465336 0.975771069527
41 0.468077665567 0.956562161446
42 0.454124391079 0.968036472797
43 0.463284039497 0.974342465401
44 0.449571031332 0.959168374538
45 0.450906378031 0.958803057671
46 0.462673681974 0.993412613869
47 0.45589158535 0.97125762701
48 0.457487905025 0.969552338123
49 0.441463249922 0.958372950554
model number is: 3199
mae:  1.0608879721
corr:  0.595740801971
mult_acc:  0.30321
mult f_score:  0.32655
Confusion Matrix :
[[274 105]
 [ 78 229]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77841   0.72296   0.74966       379
        True    0.68563   0.74593   0.71451       307

   micro avg    0.73324   0.73324   0.73324       686
   macro avg    0.73202   0.73444   0.73208       686
weighted avg    0.73689   0.73324   0.73393       686

Accuracy  0.733236151603
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 128, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [256, 48, 80], 'momentum': 0.1}, {'shapes': 256, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.2}]
0 1.27791550159 1.21211028099 saving model
1 0.991276276112 1.08704996109 saving model
2 0.872137379646 1.16354167461
3 0.882166418433 0.979704320431 saving model
4 0.74141690433 1.02669417858
5 0.71088860333 0.973723948002 saving model
6 0.659485194087 0.988875150681
7 0.586754503846 0.97255885601 saving model
8 0.564996892214 1.0485470295
9 0.539787450433 0.918049812317 saving model
10 0.488282130659 0.95128172636
11 0.450509519875 0.949379324913
12 0.44324709177 0.962791621685
13 0.426520596445 0.972029387951
14 0.440133906901 0.928494393826
15 0.442133489251 0.96403503418
16 0.403914499283 0.944596350193
17 0.399126620591 0.947987496853
18 0.371327167749 0.981753766537
19 0.424073794484 1.03522253036
20 0.491630229354 0.970475912094
21 0.482847337425 0.971942722797
22 0.397281289101 0.916328370571 saving model
23 0.356504952908 0.913583278656 saving model
24 0.31059146747 0.993238568306
25 0.317218764871 0.927484095097
26 0.314797258377 0.91964495182
27 0.280007826537 1.01698994637
28 0.306237447262 0.921016931534
29 0.315593938529 0.958565115929
30 0.287695426494 1.06358230114
31 0.306462165713 0.946500182152
32 0.348912601173 0.95758908987
33 0.401565571129 0.93612152338
34 0.482031925023 1.06845450401
35 0.609102186561 1.08838236332
36 0.551939444244 1.06056690216
37 0.448042501509 0.992516875267
38 0.443919894099 1.09898519516
39 0.477597887814 1.03234374523
40 0.419123262167 0.983809292316
41 0.340726587176 0.928650557995
42 0.317215201259 0.918750107288
43 0.281482192129 0.962587833405
44 0.331333634257 0.968295097351
45 0.314089389145 0.990960240364
46 0.337487398088 1.01896524429
47 0.32910778299 0.980429828167
48 0.30298204869 0.94592487812
49 0.268725754321 0.935869216919
model number is: 45550
mae:  1.08180839635
corr:  0.582149682699
mult_acc:  0.3105
mult f_score:  0.32862
Confusion Matrix :
[[264 115]
 [ 79 228]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76968   0.69657   0.73130       379
        True    0.66472   0.74267   0.70154       307

   micro avg    0.71720   0.71720   0.71720       686
   macro avg    0.71720   0.71962   0.71642       686
weighted avg    0.72271   0.71720   0.71798       686

Accuracy  0.717201166181
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 400, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [156, 32, 32], 'momentum': 0.9}, {'shapes': 64, 'drop': 0.7}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.2}, {'shapes': 256, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}]
0 1.28912110329 1.28370523453 saving model
1 1.09628331661 1.15314412117 saving model
2 0.956660088897 1.04228496552 saving model
3 0.868798747659 1.01828658581 saving model
4 0.759930065274 0.978403568268 saving model
5 0.718713030219 0.986412346363
6 0.697649151087 1.0025626421
7 0.646311211586 1.01082086563
8 0.664407354593 1.00303435326
9 0.644435177743 1.01270329952
10 0.565528921783 0.994809925556
11 0.507041528821 0.993476033211
12 0.489131765068 0.996195375919
13 0.448297917843 0.998680949211
14 0.434204389155 1.01496744156
15 0.432284328341 0.950856208801 saving model
16 0.416277386248 1.02094614506
17 0.417878083885 1.02417552471
18 0.39564987421 0.95695567131
19 0.369882570207 0.982024610043
20 0.361602833867 1.02806591988
21 0.358300973475 1.00726878643
22 0.365945918858 1.00669944286
23 0.38139193058 0.990301251411
24 0.354245406389 1.02149617672
25 0.319860316813 1.00520133972
26 0.339314970374 1.00853717327
27 0.314567025751 1.00104296207
28 0.329279936105 0.969797432423
29 0.329816435277 0.993208944798
30 0.379614451528 1.04873800278
31 0.402476787567 1.04927635193
32 0.422511327267 1.05162632465
33 0.408734288812 0.982017159462
34 0.367535015941 1.03300225735
35 0.339953291416 1.01552820206
36 0.354043665528 1.12926566601
37 0.334466011822 1.06264698505
38 0.337174755335 1.07772696018
39 0.361514919996 1.03612530231
40 0.413178002834 1.07286858559
41 0.449984613061 0.994710743427
42 0.444254073501 1.10206305981
43 0.408373850584 1.08006727695
44 0.383751012385 1.0609382391
45 0.357235904038 1.01531946659
46 0.330210512877 1.01692152023
47 0.300766426325 1.02295947075
48 0.314464461803 1.02795898914
49 0.312482411414 1.00294005871
model number is: 7515
mae:  1.04889698424
corr:  0.606290636759
mult_acc:  0.30175
mult f_score:  0.31809
Confusion Matrix :
[[295  84]
 [ 95 212]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75641   0.77836   0.76723       379
        True    0.71622   0.69055   0.70315       307

   micro avg    0.73907   0.73907   0.73907       686
   macro avg    0.73631   0.73446   0.73519       686
weighted avg    0.73842   0.73907   0.73855       686

Accuracy  0.739067055394
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [256, 32, 32], 'momentum': 0.3}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}]
0 1.2502848506 1.2611515522 saving model
1 1.03439250588 1.06012356281 saving model
2 0.914030188322 1.0782365799
3 0.771611189842 0.958641648293 saving model
4 0.651222860813 0.916167020798 saving model
5 0.565673166513 0.908369123936 saving model
6 0.51813813448 0.912826359272
7 0.470365905762 0.954515457153
8 0.462497040629 0.946355819702
9 0.469922545552 0.894436776638 saving model
10 0.397445249557 0.93330603838
11 0.413365787268 1.00577175617
12 0.408874765038 0.962019324303
13 0.493563702703 0.915988564491
14 0.465909340978 0.911931037903
15 0.354699933529 1.0125246048
16 0.37325515449 1.0548312664
17 0.586787617207 1.10035204887
18 0.586811515689 0.891625165939 saving model
19 0.310875332355 0.873852908611 saving model
20 0.280994205177 0.900627553463
21 0.276640841365 0.945757448673
22 0.316599050164 0.965820670128
23 0.354227432609 0.930704951286
24 0.340424236655 0.879906952381
25 0.254825115204 0.916787266731
26 0.248488242924 0.94786387682
27 0.271756495535 0.887457370758
28 0.280292564631 0.864792346954 saving model
29 0.22466493845 0.875907540321
30 0.217022992671 0.910243928432
31 0.20259180367 0.922270953655
32 0.241022248566 0.866889119148
33 0.202516578138 0.875664710999
34 0.198283167183 0.885736167431
35 0.163122130185 0.898384869099
36 0.167112642527 0.929253220558
37 0.238863010705 0.883499205112
38 0.223164619505 0.893603622913
39 0.210478243232 0.895909249783
40 0.171508261561 0.923785924911
41 0.2023429811 0.907725989819
42 0.203572024405 0.90074557066
43 0.18246563375 0.86802226305
44 0.154395318031 0.882876753807
45 0.173569226265 0.936231076717
46 0.198610500991 0.896890938282
47 0.168398015201 0.886077523232
48 0.15157969296 0.876587688923
49 0.148760168999 0.880406141281
model number is: 39503
mae:  1.08426476894
corr:  0.583337316555
mult_acc:  0.34402
mult f_score:  0.35252
Confusion Matrix :
[[258 121]
 [ 75 232]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77477   0.68074   0.72472       379
        True    0.65722   0.75570   0.70303       307

   micro avg    0.71429   0.71429   0.71429       686
   macro avg    0.71600   0.71822   0.71387       686
weighted avg    0.72217   0.71429   0.71501       686

Accuracy  0.714285714286
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 256, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [256, 48, 16], 'momentum': 0.8}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}, {'shapes': 32, 'drop': 0.7}]
0 1.31046757698 1.36536848545 saving model
1 1.19616193771 1.1709291935 saving model
2 1.08331088424 1.113702178 saving model
3 1.03184796572 1.11199116707 saving model
4 1.001869452 1.05958342552 saving model
5 0.949012237787 1.04848325253 saving model
6 0.910760778189 1.05493271351
7 0.912335014343 0.994185805321 saving model
8 0.888024032116 1.09433555603
9 0.858984196186 1.01813352108
10 0.820577663183 1.03125810623
11 0.792201387882 0.985006153584 saving model
12 0.738612949848 1.00677907467
13 0.703038591146 1.00662255287
14 0.683576536179 0.996889531612
15 0.699660050869 1.00338959694
16 0.674471628666 0.985795080662
17 0.678167527914 0.970279335976 saving model
18 0.658670085669 0.984968602657
19 0.68112552762 1.07240772247
20 0.680547869205 1.0075044632
21 0.650437527895 1.00519752502
22 0.622392207384 0.994221270084
23 0.586121666431 1.01904654503
24 0.551693379879 0.971676170826
25 0.536409687996 0.966358959675 saving model
26 0.524480947852 0.982106089592
27 0.519165119529 0.980518579483
28 0.529469299316 0.984575152397
29 0.517998340726 1.01793038845
30 0.512075018883 0.996847033501
31 0.509793552756 0.995537281036
32 0.520124778152 0.982643485069
33 0.510236749053 1.01412451267
34 0.507608404756 1.00780081749
35 0.516796013713 0.99743694067
36 0.468322044611 0.987860918045
37 0.476728960872 1.01383364201
38 0.475216716528 0.986444711685
39 0.468663927913 1.00166702271
40 0.475355574489 0.981456935406
41 0.488913890719 0.997136354446
42 0.473778963089 1.00595796108
43 0.472081783414 0.977613210678
44 0.452145341039 0.995920240879
45 0.460965910554 1.00009024143
46 0.445534524322 0.974869728088
47 0.438151022792 0.983005702496
48 0.452863514423 1.00068080425
49 0.436197823286 0.969893455505
model number is: 70862
mae:  1.05863041701
corr:  0.598428298807
mult_acc:  0.29446
mult f_score:  0.31034
Confusion Matrix :
[[276 103]
 [ 80 227]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77528   0.72823   0.75102       379
        True    0.68788   0.73941   0.71272       307

   micro avg    0.73324   0.73324   0.73324       686
   macro avg    0.73158   0.73382   0.73187       686
weighted avg    0.73617   0.73324   0.73388       686

Accuracy  0.733236151603
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 128, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [128, 64, 16], 'momentum': 0.8}, {'shapes': 32, 'drop': 0.2}, {'shapes': 64, 'drop': 0.5}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.0}, {'shapes': 256, 'drop': 0.0}]
0 1.30820915699 1.35942053795 saving model
1 1.18417818546 1.18518936634 saving model
2 1.02724182606 1.18909275532
3 0.972942435741 1.11515796185 saving model
4 0.942054963112 1.17031705379
5 0.90994644165 1.08964920044 saving model
6 0.828949010372 1.0565186739 saving model
7 0.794705176353 1.05344510078 saving model
8 0.782909882069 1.02504837513 saving model
9 0.755030596256 1.01316285133 saving model
10 0.692311358452 1.01270246506 saving model
11 0.67500462532 1.00614464283 saving model
12 0.680218470097 1.00484216213 saving model
13 0.652732121944 1.02303731441
14 0.649415373802 1.00428843498 saving model
15 0.571622335911 1.01058351994
16 0.518051242828 0.999702334404 saving model
17 0.469591104984 1.01368236542
18 0.435672771931 1.02734780312
19 0.402215445042 1.02753710747
20 0.383346939087 1.04085528851
21 0.394000506401 1.02177143097
22 0.396065378189 1.03527116776
23 0.431345832348 1.0882152319
24 0.528301501274 1.08037281036
25 0.437656962872 1.04683113098
26 0.365338110924 0.993955373764 saving model
27 0.320515924692 1.02931201458
28 0.31968780756 1.02308225632
29 0.278775429726 1.0251802206
30 0.276516255736 1.0353884697
31 0.324441611767 1.01001107693
32 0.320488238335 1.0294033289
33 0.308412793279 1.01262903214
34 0.237480646372 1.02783000469
35 0.213207891583 0.990714013577 saving model
36 0.199518212676 1.00699150562
37 0.200753730536 1.02694380283
38 0.251363459229 1.01947784424
39 0.253338959813 1.03406202793
40 0.234255284071 0.987851262093 saving model
41 0.232764983177 0.994384646416
42 0.200061047077 1.03169059753
43 0.198002380133 0.988685429096
44 0.1761318326 0.989141821861
45 0.173299187422 1.0113697052
46 0.209612298012 1.01849842072
47 0.176487866044 1.01361584663
48 0.163670894504 0.994179546833
49 0.154558813572 1.00458371639
model number is: 43240
mae:  1.06595152757
corr:  0.573391802181
mult_acc:  0.31195
mult f_score:  0.31529
Confusion Matrix :
[[281  98]
 [ 96 211]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74536   0.74142   0.74339       379
        True    0.68285   0.68730   0.68506       307

   micro avg    0.71720   0.71720   0.71720       686
   macro avg    0.71410   0.71436   0.71423       686
weighted avg    0.71738   0.71720   0.71729       686

Accuracy  0.717201166181
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 400, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [88, 16, 80], 'momentum': 0.6}, {'shapes': 128, 'drop': 0.5}, {'shapes': 128, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.5}, {'shapes': 128, 'drop': 0.2}]
0 1.15961167216 1.15873193741 saving model
1 0.907968065143 1.02608644962 saving model
2 0.764127990603 0.982850670815 saving model
3 0.66352788657 1.01719737053
4 0.628283885121 0.949235379696 saving model
5 0.577005057037 0.923241078854 saving model
6 0.570265504718 0.941146850586
7 0.530542133749 0.94793099165
8 0.567068649828 1.0511020422
9 0.536289927363 0.952625393867
10 0.441033236682 0.913232803345 saving model
11 0.409237471223 0.955125272274
12 0.386840064824 0.971981465816
13 0.382987095416 0.960193872452
14 0.342115364969 0.947225928307
15 0.306948550045 0.930507481098
16 0.310661488771 0.991992712021
17 0.330249669403 0.954333126545
18 0.328408810496 0.935831844807
19 0.325856784731 0.986615717411
20 0.357584513724 0.941584825516
21 0.313658993691 0.949423849583
22 0.257076125592 0.959687888622
23 0.283158874512 0.955253481865
24 0.307446849346 0.973382115364
25 0.272075698525 0.946535348892
26 0.307030500472 0.916495203972
27 0.288508751243 1.00277042389
28 0.290125904977 0.955478727818
29 0.286727599055 0.931092679501
30 0.237670382857 0.961201369762
31 0.251785938442 0.945007264614
32 0.251191025227 0.945654809475
33 0.290889359266 1.02748429775
34 0.427365680039 0.995447576046
35 0.424803031981 0.968838512897
36 0.381042668223 0.96956461668
37 0.306205940247 1.00918734074
38 0.269858620316 0.960080862045
39 0.272072900832 0.999011039734
40 0.232489135116 0.993348360062
41 0.236555072665 0.968169629574
42 0.264225289226 0.977394938469
43 0.265928245336 1.07186281681
44 0.283907879144 1.02817642689
45 0.434124740958 1.05050861835
46 0.55430085808 1.03898906708
47 0.579916882515 1.16441559792
48 0.514184620976 1.03835582733
49 0.41251860559 0.967813670635
model number is: 71107
mae:  1.04849160391
corr:  0.627516016165
mult_acc:  0.30321
mult f_score:  0.34112
Confusion Matrix :
[[290  89]
 [ 86 221]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77128   0.76517   0.76821       379
        True    0.71290   0.71987   0.71637       307

   micro avg    0.74490   0.74490   0.74490       686
   macro avg    0.74209   0.74252   0.74229       686
weighted avg    0.74515   0.74490   0.74501       686

Accuracy  0.744897959184
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 300, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [128, 32, 64], 'momentum': 0.3}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.0}]
0 1.33913457394 1.42121911049 saving model
1 1.2338147223 1.15061891079 saving model
2 0.941797271371 1.04338574409 saving model
3 0.807447379827 1.03598070145 saving model
4 0.716617593169 0.977086246014 saving model
5 0.636041769385 1.0435410738
6 0.631867909431 0.972059488297 saving model
7 0.539005932212 0.967639148235 saving model
8 0.462625792623 0.977769613266
9 0.408116289973 0.955451667309 saving model
10 0.405458649993 0.970458328724
11 0.434033279121 0.968213498592
12 0.344062457979 0.941085875034 saving model
13 0.305136103183 0.932899177074 saving model
14 0.283605323732 0.939760446548
15 0.297523473948 0.987467288971
16 0.32123889327 1.02838551998
17 0.405880823731 0.973510503769
18 0.397684557736 0.977260529995
19 0.3962641716 0.988399982452
20 0.348951009661 0.988840281963
21 0.303957291692 0.959171950817
22 0.231523760408 0.978811085224
23 0.256351302564 0.984116077423
24 0.310708311945 1.02591323853
25 0.28621571511 0.991709589958
26 0.263747846335 1.03603434563
27 0.302246755362 0.982447981834
28 0.366166119277 1.11307549477
29 0.384423942864 1.07752048969
30 0.353529366851 0.998073935509
31 0.293246500939 0.961833298206
32 0.236009454727 0.953003406525
33 0.188683386892 0.965190887451
34 0.209656302631 0.988272964954
35 0.260529563576 0.971319377422
36 0.322812458873 1.03263556957
37 0.311953698099 1.02844583988
38 0.258005582541 1.04679751396
39 0.23658284992 0.989511370659
40 0.22086718604 0.976624190807
41 0.217703003436 0.977387011051
42 0.226496483386 0.992220699787
43 0.240091601759 0.964631736279
44 0.246208611876 1.06527853012
45 0.259996234626 1.04890036583
46 0.227658186108 1.00098073483
47 0.194188787788 0.989412248135
48 0.196827055514 0.978657007217
49 0.251229790598 0.95554202795
model number is: 59693
mae:  1.0119241183
corr:  0.627963911517
mult_acc:  0.31487
mult f_score:  0.3247
Confusion Matrix :
[[293  86]
 [ 89 218]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76702   0.77309   0.77004       379
        True    0.71711   0.71010   0.71358       307

   micro avg    0.74490   0.74490   0.74490       686
   macro avg    0.74206   0.74159   0.74181       686
weighted avg    0.74468   0.74490   0.74477       686

Accuracy  0.744897959184
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 128, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [32, 48, 16], 'momentum': 0.8}, {'shapes': 128, 'drop': 0.2}, {'shapes': 128, 'drop': 0.2}, {'shapes': 128, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.0}]
0 1.30323767662 1.33167827129 saving model
1 1.11614539623 1.17069244385 saving model
2 0.933573019505 1.13541781902 saving model
3 0.883519291878 1.10080957413 saving model
4 0.867482745647 1.11037456989
5 0.812019979954 1.02100670338 saving model
6 0.704344201088 0.98155683279 saving model
7 0.636149334908 1.01230096817
8 0.627880775928 0.965486884117 saving model
9 0.564265489578 0.988205969334
10 0.551583790779 0.972340524197
11 0.52594114542 1.00316548347
12 0.478917467594 0.978833258152
13 0.433171218634 0.980373263359
14 0.418789833784 0.977115750313
15 0.423665225506 0.988643169403
16 0.385089218616 0.962236523628 saving model
17 0.348997014761 0.985457479954
18 0.332875990868 0.969372034073
19 0.298544454575 0.973963439465
20 0.319841492176 0.978425860405
21 0.315573993325 0.996113955975
22 0.298927533627 0.955817341805 saving model
23 0.242537564039 0.968871295452
24 0.26712693572 0.98247718811
25 0.239642158151 0.973948001862
26 0.237078732252 0.96299135685
27 0.207034835219 0.979626893997
28 0.211392363906 0.98331952095
29 0.228156745434 0.988065481186
30 0.258488860726 0.971243619919
31 0.206439435482 0.9556427598 saving model
32 0.184573447704 0.983265280724
33 0.167703041434 1.00192439556
34 0.190626239777 0.971346318722
35 0.147498649359 0.979413628578
36 0.146293362975 0.985036373138
37 0.146256873012 0.981836736202
38 0.161655554175 0.955286860466 saving model
39 0.154853153229 0.968979120255
40 0.170144920051 0.977241337299
41 0.177987262607 1.00920748711
42 0.181679293513 0.976256608963
43 0.160369840264 0.975175082684
44 0.143414482474 0.982344210148
45 0.150350213051 1.00862729549
46 0.162537455559 0.975810229778
47 0.151121240854 0.981546580791
48 0.133171121776 0.994543254375
49 0.114156341553 0.997374176979
model number is: 22202
mae:  1.07606412847
corr:  0.568821419239
mult_acc:  0.29009
mult f_score:  0.28975
Confusion Matrix :
[[286  93]
 [ 99 208]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74286   0.75462   0.74869       379
        True    0.69103   0.67752   0.68421       307

   micro avg    0.72012   0.72012   0.72012       686
   macro avg    0.71694   0.71607   0.71645       686
weighted avg    0.71966   0.72012   0.71983       686

Accuracy  0.720116618076
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [88, 32, 64], 'momentum': 0.9}, {'shapes': 64, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.0}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.2}]
0 1.34444053173 1.40469992161 saving model
1 1.24443440437 1.2236430645 saving model
2 1.07562924623 1.13881003857 saving model
3 0.951011478901 1.12314784527 saving model
4 0.88743377924 1.09993612766 saving model
5 0.839840090275 1.05077004433 saving model
6 0.804754126072 0.991175353527 saving model
7 0.716493809223 1.02203285694
8 0.716128790379 0.996146798134
9 0.667135334015 1.00235629082
10 0.613807225227 0.968822658062 saving model
11 0.544546639919 0.962059617043 saving model
12 0.507488721609 0.950257897377 saving model
13 0.466086369753 0.967016816139
14 0.470633304119 0.983602404594
15 0.465953838825 0.983886957169
16 0.434317630529 0.994216442108
17 0.433759814501 0.955341994762
18 0.401092618704 0.98855483532
19 0.382829678059 0.978415966034
20 0.362262946367 0.972325325012
21 0.353377974033 0.970856189728
22 0.343277513981 0.981156170368
23 0.310986238718 0.981473445892
24 0.310131281614 0.951155006886
25 0.286866354942 0.965061366558
26 0.300469708443 0.953346610069
27 0.275493571162 0.956319987774
28 0.248489651084 0.966214060783
29 0.257165819407 0.959470808506
30 0.230532589555 0.972265303135
31 0.235296851397 0.948595285416 saving model
32 0.239532122016 0.938236236572 saving model
33 0.262170371413 0.965019881725
34 0.232889133692 0.949350297451
35 0.2318808496 0.936994433403 saving model
36 0.22221750021 0.957088768482
37 0.214727547765 0.956546187401
38 0.213000163436 0.953385770321
39 0.197933760285 0.962927341461
40 0.203149417043 0.956474900246
41 0.213421759009 0.956562936306
42 0.222970569134 0.958901524544
43 0.212089544535 0.941058516502
44 0.206065708399 0.947755694389
45 0.194762015343 0.941200494766
46 0.193064144254 0.951090693474
47 0.183408439159 0.959706008434
48 0.201079824567 0.952112078667
49 0.187854540348 0.948559939861
model number is: 8776
mae:  1.05469110971
corr:  0.581394044098
mult_acc:  0.33382
mult f_score:  0.34231
Confusion Matrix :
[[281  98]
 [ 90 217]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75741   0.74142   0.74933       379
        True    0.68889   0.70684   0.69775       307

   micro avg    0.72595   0.72595   0.72595       686
   macro avg    0.72315   0.72413   0.72354       686
weighted avg    0.72675   0.72595   0.72625       686

Accuracy  0.725947521866
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 400, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [64, 64, 64], 'momentum': 0.6}, {'shapes': 256, 'drop': 0.5}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.2}, {'shapes': 256, 'drop': 0.5}]
0 1.31810638905 1.40324485302 saving model
1 1.30306239128 1.38687813282 saving model
2 1.27195215225 1.34877038002 saving model
3 1.21952829361 1.27732717991 saving model
4 1.10686898232 1.17273175716 saving model
5 0.997940719128 1.11712503433 saving model
6 0.93722897768 1.08355498314 saving model
7 0.894834983349 1.08786249161
8 0.858506047726 1.06822526455 saving model
9 0.820020449162 1.04411923885 saving model
10 0.793988347054 1.043638587 saving model
11 0.778853261471 1.04298079014 saving model
12 0.757079565525 1.02963721752 saving model
13 0.753178453445 1.0300911665
14 0.733497929573 1.02922308445 saving model
15 0.730693078041 1.02520430088 saving model
16 0.694875776768 1.02209460735 saving model
17 0.686386930943 1.00692844391 saving model
18 0.659605038166 1.01840913296
19 0.651682734489 1.01651442051
20 0.6389290452 1.00783526897
21 0.63304681778 1.02742433548
22 0.619873523712 1.0497597456
23 0.610692131519 1.04249322414
24 0.60849006176 1.02474677563
25 0.572064828873 1.0198611021
26 0.584211373329 1.01200771332
27 0.570915603638 1.03680634499
28 0.548957955837 1.0314283371
29 0.519758093357 1.02535426617
30 0.508297514915 1.02845108509
31 0.49490275979 1.02585625648
32 0.487598824501 1.01390349865
33 0.492706942558 1.05607688427
34 0.497645825148 1.09168744087
35 0.514335906506 1.03104233742
36 0.45282638669 1.03092610836
37 0.437331473827 1.03281092644
38 0.432718843222 1.02530288696
39 0.423166692257 1.04983234406
40 0.431841480732 1.03074944019
41 0.412446212769 1.0332108736
42 0.403715413809 1.03362250328
43 0.391970318556 1.03176879883
44 0.400316625834 1.02677083015
45 0.390185320377 1.03223490715
46 0.387372148037 1.01322138309
47 0.348461580276 1.0267291069
48 0.345606464148 1.01918292046
49 0.34546199441 1.00910007954
model number is: 56672
mae:  1.04382284779
corr:  0.624156107774
mult_acc:  0.29009
mult f_score:  0.32669
Confusion Matrix :
[[286  93]
 [ 91 216]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75862   0.75462   0.75661       379
        True    0.69903   0.70358   0.70130       307

   micro avg    0.73178   0.73178   0.73178       686
   macro avg    0.72882   0.72910   0.72896       686
weighted avg    0.73195   0.73178   0.73186       686

Accuracy  0.731778425656
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 300, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [128, 32, 8], 'momentum': 0.8}, {'shapes': 128, 'drop': 0.5}, {'shapes': 32, 'drop': 0.0}, {'shapes': 32, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}]
0 1.30880827904 1.30577230453 saving model
1 1.29317135811 1.31692361832
2 1.22990720272 1.3433355093
3 1.16247625351 1.22301363945 saving model
4 1.07594732046 1.13249635696 saving model
5 0.985615742207 1.07727885246 saving model
6 0.911776566505 1.04171252251 saving model
7 0.856513869762 1.04581999779
8 0.81041367054 1.02094364166 saving model
9 0.79304472208 1.01126849651 saving model
10 0.75145304203 0.983373522758 saving model
11 0.710655832291 0.99018317461
12 0.660872900486 0.97000014782 saving model
13 0.646624493599 0.982724905014
14 0.609992015362 0.953439056873 saving model
15 0.592870116234 0.962380766869
16 0.577093780041 0.942824184895 saving model
17 0.570663893223 0.955838680267
18 0.564569866657 0.965733528137
19 0.578293228149 0.944349467754
20 0.524839264154 0.949461996555
21 0.524585485458 0.947683513165
22 0.470854121447 0.942137300968 saving model
23 0.476535415649 0.924260497093 saving model
24 0.481070953608 0.955645620823
25 0.471028369665 0.941763401031
26 0.439108431339 0.951317250729
27 0.423116755486 0.945255339146
28 0.420122843981 0.929128527641
29 0.428098571301 0.973648250103
30 0.402337670326 0.977476119995
31 0.413337910175 0.95365780592
32 0.417496073246 0.969862401485
33 0.42621049881 0.933809518814
34 0.397770106792 0.93994140625
35 0.396297103167 0.951029539108
36 0.408766853809 0.938424885273
37 0.38774356246 0.956815123558
38 0.413951414824 0.925741195679
39 0.398606365919 0.937337398529
40 0.381014209986 0.963139116764
41 0.37896925807 0.913828074932 saving model
42 0.392558544874 0.925142884254
43 0.376723051071 0.920887827873
44 0.375791865587 0.932753384113
45 0.37819327116 0.955129802227
46 0.363874125481 0.935101747513
47 0.374946451187 0.957909882069
48 0.38259934783 0.935966551304
49 0.383196467161 0.94433504343
model number is: 7195
mae:  1.08527599448
corr:  0.570789132092
mult_acc:  0.29592
mult f_score:  0.3236
Confusion Matrix :
[[269 110]
 [ 93 214]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74309   0.70976   0.72605       379
        True    0.66049   0.69707   0.67829       307

   micro avg    0.70408   0.70408   0.70408       686
   macro avg    0.70179   0.70342   0.70217       686
weighted avg    0.70613   0.70408   0.70467       686

Accuracy  0.704081632653
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 300, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [256, 8, 64], 'momentum': 0.5}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}]
0 1.30181841254 1.27306973934 saving model
1 1.03372030258 1.09212779999 saving model
2 0.94659229517 1.04342770576 saving model
3 0.812924245 1.00292539597 saving model
4 0.816959294677 0.982716262341 saving model
5 0.738821563125 0.959093093872 saving model
6 0.722853460908 0.937936782837 saving model
7 0.665333038568 0.939676880836
8 0.613315293193 0.950260519981
9 0.586962980032 0.991023302078
10 0.570212131739 0.979023218155
11 0.562805519998 0.934461414814 saving model
12 0.570460930467 1.03552591801
13 0.561866313219 0.970985651016
14 0.543086951971 0.961596369743
15 0.540422514081 1.0246707201
16 0.546322533488 1.0204359293
17 0.534038630128 0.987425148487
18 0.496728646755 1.01565825939
19 0.492429693043 1.00539243221
20 0.483459495008 1.07418000698
21 0.524876818061 1.03982043266
22 0.569946280122 0.977684438229
23 0.566349706054 0.970038771629
24 0.536647872627 0.986755430698
25 0.528144942224 0.952324986458
26 0.504617604613 0.946802556515
27 0.508421325684 0.955729544163
28 0.467496336997 0.925714671612 saving model
29 0.472413557768 0.95791208744
30 0.472627535462 0.977167367935
31 0.447169104218 0.991485774517
32 0.468113088608 0.965474486351
33 0.469398368895 0.951943993568
34 0.444748602808 0.943190574646
35 0.47369735539 0.951735198498
36 0.51096482724 0.91840839386 saving model
37 0.46080917567 0.939082503319
38 0.452678310871 0.97425788641
39 0.426526334882 0.96953946352
40 0.424571125209 0.946435451508
41 0.397872266173 0.964923799038
42 0.441785991192 0.969833791256
43 0.40752414763 0.954393684864
44 0.447960494459 0.949295401573
45 0.447138230503 0.923299968243
46 0.439967674017 0.948006331921
47 0.43242456615 0.9377810359
48 0.434162445366 0.933948338032
49 0.44263574034 0.956492483616
model number is: 56702
mae:  1.04540978335
corr:  0.613922095346
mult_acc:  0.32362
mult f_score:  0.32702
Confusion Matrix :
[[272 107]
 [ 77 230]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77937   0.71768   0.74725       379
        True    0.68249   0.74919   0.71429       307

   micro avg    0.73178   0.73178   0.73178       686
   macro avg    0.73093   0.73343   0.73077       686
weighted avg    0.73602   0.73178   0.73250       686

Accuracy  0.731778425656
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 400, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [32, 32, 8], 'momentum': 0.8}, {'shapes': 64, 'drop': 0.0}, {'shapes': 32, 'drop': 0.2}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}, {'shapes': 256, 'drop': 0.2}]
0 1.34483995438 1.38953244686 saving model
1 1.23508076668 1.2544349432 saving model
2 1.05022417307 1.19841527939 saving model
3 0.922102916241 1.14220941067 saving model
4 0.889576280117 1.0587927103 saving model
5 0.831258940697 1.06371569633
6 0.771580755711 1.03526353836 saving model
7 0.693809401989 1.02443134785 saving model
8 0.666153526306 1.01276171207 saving model
9 0.638938260078 1.02232730389
10 0.58190767765 1.04371666908
11 0.529519408941 1.00891423225 saving model
12 0.478540015221 1.00413429737 saving model
13 0.442315292358 1.02837324142
14 0.469592958689 1.01805841923
15 0.427574414015 1.05908358097
16 0.440463775396 1.02753591537
17 0.371836042404 1.02210688591
18 0.33669179678 1.03754353523
19 0.31597545743 1.02343761921
20 0.301748907566 1.0116007328
21 0.296136838198 1.02334833145
22 0.293740931153 1.03745734692
23 0.312907463312 1.03047442436
24 0.318822365999 1.06139063835
25 0.332377707958 1.0339204073
26 0.279885590076 1.03747236729
27 0.24526835382 1.05020582676
28 0.250155580044 1.04585981369
29 0.265442574024 1.03200387955
30 0.256174442172 1.03367614746
31 0.227459436655 1.04692935944
32 0.222461637855 1.02149701118
33 0.196513152122 1.01177573204
34 0.18873167336 1.01609528065
35 0.210401591659 1.01653504372
36 0.187344717979 1.03838455677
37 0.223264798522 1.02333152294
38 0.208555158973 1.01600670815
39 0.228959339857 1.02868020535
40 0.196556317806 1.03247725964
41 0.183973893523 1.02883827686
42 0.172394707799 1.02219152451
43 0.170459663868 1.0156390667
44 0.185705643892 1.02224993706
45 0.171781685948 1.040558815
46 0.184444144368 1.02785551548
47 0.179096785188 1.02793085575
48 0.192496961355 1.03607058525
49 0.17114238441 1.03245866299
model number is: 32000
mae:  1.09445727365
corr:  0.593348434408
mult_acc:  0.29009
mult f_score:  0.30474
Confusion Matrix :
[[251 128]
 [ 73 234]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77469   0.66227   0.71408       379
        True    0.64641   0.76221   0.69955       307

   micro avg    0.70700   0.70700   0.70700       686
   macro avg    0.71055   0.71224   0.70682       686
weighted avg    0.71728   0.70700   0.70758       686

Accuracy  0.706997084548
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [128, 32, 8], 'momentum': 0.1}, {'shapes': 64, 'drop': 0.0}, {'shapes': 256, 'drop': 0.0}, {'shapes': 32, 'drop': 0.2}, {'shapes': 64, 'drop': 0.0}, {'shapes': 64, 'drop': 0.0}]
0 1.26251878738 1.36856865883 saving model
1 1.07182931304 1.21900165081 saving model
2 0.891658377647 1.0167568922 saving model
3 0.764665275812 1.00027990341 saving model
4 0.686326742172 1.01302623749
5 0.62761746645 1.04123365879
6 0.635031017661 1.00738942623
7 0.627041637897 1.03427791595
8 0.554807037115 0.965019106865 saving model
9 0.487816879153 1.00595664978
10 0.570082756877 1.00094270706
11 0.568215587735 1.02213442326
12 0.571480810642 0.955915689468 saving model
13 0.45850173831 0.968470335007
14 0.443453282118 0.906166553497 saving model
15 0.36418146193 0.951084733009
16 0.376130074263 0.918416976929
17 0.38018053174 0.894264042377 saving model
18 0.382260119915 0.931825816631
19 0.391456624866 0.933279395103
20 0.326224982738 0.933101892471
21 0.298067213595 0.901390731335
22 0.281199061871 0.940567195415
23 0.328153604269 0.911460697651
24 0.306247027218 0.931713402271
25 0.277537508309 0.910981476307
26 0.232092748582 0.899227082729
27 0.245823547244 0.92505055666
28 0.259893557429 0.91361707449
29 0.250731447339 0.905190527439
30 0.238998484612 0.901656925678
31 0.212572033703 0.916205346584
32 0.24192263484 0.932761728764
33 0.248840789497 0.905910015106
34 0.229138490558 0.890604615211 saving model
35 0.194704292715 0.942950665951
36 0.228189660609 0.931126117706
37 0.22037730366 0.920828402042
38 0.225229139626 0.900580465794
39 0.170623803139 0.907361149788
40 0.183853977919 0.914711654186
41 0.181494067609 0.903322577477
42 0.187163089216 0.878765106201 saving model
43 0.167213881016 0.894018054008
44 0.186048485339 0.933060228825
45 0.179666669667 0.912421584129
46 0.164343255758 0.894021034241
47 0.152778057754 0.901219069958
48 0.15215498656 0.927534461021
49 0.163410750031 0.928517699242
model number is: 98562
mae:  1.03947342164
corr:  0.595687939756
mult_acc:  0.31924
mult f_score:  0.32114
Confusion Matrix :
[[277 102]
 [ 79 228]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77809   0.73087   0.75374       379
        True    0.69091   0.74267   0.71586       307

   micro avg    0.73615   0.73615   0.73615       686
   macro avg    0.73450   0.73677   0.73480       686
weighted avg    0.73907   0.73615   0.73679       686

Accuracy  0.736151603499
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 400, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [256, 80, 32], 'momentum': 0.5}, {'shapes': 32, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}, {'shapes': 256, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}]
0 1.20626719147 1.190726161 saving model
1 0.989255750179 1.04374611378 saving model
2 0.83941475451 1.05347287655
3 0.767626327276 0.986872017384 saving model
4 0.71074320823 1.00964689255
5 0.63282442838 0.978961110115 saving model
6 0.621834629774 0.948887586594 saving model
7 0.568078196049 0.963536500931
8 0.575786004961 0.941413283348 saving model
9 0.488888531178 0.922253012657 saving model
10 0.482755081356 0.990417480469
11 0.469850954413 0.969606220722
12 0.481547667086 1.03111386299
13 0.47597271353 0.895308673382 saving model
14 0.441517081857 0.924779236317
15 0.43923830092 0.946257889271
16 0.425927861035 0.942697167397
17 0.382952249795 0.939492285252
18 0.399987527728 0.95014166832
19 0.398753709346 0.947818338871
20 0.38180366531 0.944774806499
21 0.400097610429 0.970953285694
22 0.389023000002 0.982374846935
23 0.400698108971 0.949333786964
24 0.392245408148 0.959903359413
25 0.418968432397 1.00322926044
26 0.409339284897 1.05241549015
27 0.406045300514 1.02904343605
28 0.411648020893 1.00433373451
29 0.424313244224 0.993771195412
30 0.373506426439 1.00520479679
31 0.403608617187 1.00867545605
32 0.367472033575 0.962386667728
33 0.374541706592 0.970248639584
34 0.344966023043 0.981100440025
35 0.339108196646 1.00852525234
36 0.350872978568 1.01401793957
37 0.343116831407 0.966967046261
38 0.352856453508 1.03604602814
39 0.424864836037 1.01861774921
40 0.391578920186 1.02078437805
41 0.364554719627 1.05869686604
42 0.374445009232 1.00474345684
43 0.395412160456 0.983256101608
44 0.419180127233 1.07984304428
45 0.431123732775 1.01860785484
46 0.364438921958 1.01470983028
47 0.383615588397 1.00360739231
48 0.363725273311 0.970701634884
49 0.329983716086 0.999250113964
model number is: 36393
mae:  1.02289828242
corr:  0.62324339163
mult_acc:  0.31341
mult f_score:  0.32941
Confusion Matrix :
[[271 108]
 [ 87 220]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75698   0.71504   0.73541       379
        True    0.67073   0.71661   0.69291       307

   micro avg    0.71574   0.71574   0.71574       686
   macro avg    0.71386   0.71583   0.71416       686
weighted avg    0.71838   0.71574   0.71639       686

Accuracy  0.715743440233
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 256, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [128, 48, 48], 'momentum': 0.3}, {'shapes': 32, 'drop': 0.7}, {'shapes': 256, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.2}]
0 1.28665723801 1.33110451698 saving model
1 1.06417792737 1.10113871098 saving model
2 0.883577981591 1.05275177956 saving model
3 0.805822581053 1.03980314732 saving model
4 0.754115658998 1.03433454037 saving model
5 0.720244956017 1.01312804222 saving model
6 0.67944688499 1.01566493511
7 0.675991016626 0.977175474167 saving model
8 0.620176288486 1.00312507153
9 0.598564782739 1.00915551186
10 0.546696133912 1.00207877159
11 0.489376789331 1.00258815289
12 0.47108412832 1.07877421379
13 0.44680519253 1.01652026176
14 0.457152232528 0.970257341862 saving model
15 0.476901908219 0.975383639336
16 0.450641995668 1.01975190639
17 0.424861875176 0.97382247448
18 0.407076300681 0.985926985741
19 0.39682367295 0.963504970074 saving model
20 0.387736670673 1.01300692558
21 0.388622570038 1.02111697197
22 0.369869600236 1.02510988712
23 0.359458635747 1.03895497322
24 0.342860877514 1.00103521347
25 0.350727191567 1.04682350159
26 0.374258376658 0.98675352335
27 0.411469002068 1.03170907497
28 0.412955066562 1.05387187004
29 0.412174493074 1.08012664318
30 0.384212578833 1.08093261719
31 0.373098272085 1.01273846626
32 0.327427771688 0.995420336723
33 0.313083815575 0.978547751904
34 0.288453628868 0.983601689339
35 0.281369295716 0.984254956245
36 0.276426555216 0.964914500713
37 0.258932554722 0.986471474171
38 0.267042697966 0.972759485245
39 0.27458338365 0.964492082596
40 0.26479831636 1.01035273075
41 0.254479205608 0.978492081165
42 0.254058996588 0.983226060867
43 0.232565752417 0.983867824078
44 0.248210209608 1.01453244686
45 0.250645111501 1.00068175793
46 0.273830677569 0.976460039616
47 0.289092338085 0.994313240051
48 0.289939048886 0.98773598671
49 0.298979252577 0.935595452785 saving model
model number is: 83857
mae:  1.1136136406
corr:  0.567451797303
mult_acc:  0.29592
mult f_score:  0.30426
Confusion Matrix :
[[254 125]
 [ 73 234]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77676   0.67018   0.71955       379
        True    0.65181   0.76221   0.70270       307

   micro avg    0.71137   0.71137   0.71137       686
   macro avg    0.71428   0.71620   0.71112       686
weighted avg    0.72084   0.71137   0.71201       686

Accuracy  0.711370262391
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 128, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [88, 32, 8], 'momentum': 0.5}, {'shapes': 128, 'drop': 0.2}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.0}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.7}]
0 1.32867484093 1.42448747158 saving model
1 1.31279144287 1.40386390686 saving model
2 1.29266829491 1.37667894363 saving model
3 1.26122817993 1.33185422421 saving model
4 1.19601509571 1.22762989998 saving model
5 1.07041802406 1.11856400967 saving model
6 1.02717723846 1.10339999199 saving model
7 0.972561335564 1.10820281506
8 0.948117637634 1.09962618351 saving model
9 0.900282740593 1.07189798355 saving model
10 0.875446689129 1.06680965424 saving model
11 0.863967704773 1.04533731937 saving model
12 0.835053408146 1.02525401115 saving model
13 0.797399365902 1.0182723999 saving model
14 0.793472373486 1.0154556036 saving model
15 0.763053560257 0.997972249985 saving model
16 0.747743856907 0.999079406261
17 0.711204040051 1.00749742985
18 0.717642498016 1.01362490654
19 0.731779301167 1.0422924757
20 0.735005140305 1.02869343758
21 0.715198683739 1.0255573988
22 0.683349406719 0.99475055933 saving model
23 0.664805614948 1.03405344486
24 0.695862960815 1.01199305058
25 0.662961411476 1.00080668926
26 0.61929192543 0.995738327503
27 0.590068471432 0.99627751112
28 0.616979622841 1.00521886349
29 0.592841625214 1.0000565052
30 0.57006008625 1.00572562218
31 0.548285114765 1.0068500042
32 0.54746721983 1.00098240376
33 0.53871743679 1.01025652885
34 0.549733376503 0.997638225555
35 0.522229915857 1.01756286621
36 0.521906507015 1.01444852352
37 0.524405241013 1.02048718929
38 0.501246017218 1.00740587711
39 0.499783104658 1.0026974678
40 0.480552357435 1.01389873028
41 0.486753827333 1.0079767704
42 0.473740851879 1.02114403248
43 0.479622751474 0.99683535099
44 0.447267508507 1.00033760071
45 0.448677074909 1.01774728298
46 0.432575815916 1.03460931778
47 0.454964739084 1.01379394531
48 0.433703434467 1.01327288151
49 0.426590257883 1.0176885128
model number is: 39764
mae:  0.997950783967
corr:  0.627456504444
mult_acc:  0.31633
mult f_score:  0.33424
Confusion Matrix :
[[305  74]
 [ 88 219]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77608   0.80475   0.79016       379
        True    0.74744   0.71336   0.73000       307

   micro avg    0.76385   0.76385   0.76385       686
   macro avg    0.76176   0.75905   0.76008       686
weighted avg    0.76326   0.76385   0.76323       686

Accuracy  0.763848396501
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 256, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [256, 48, 8], 'momentum': 0.3}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.5}]
0 1.3189861536 1.38843929768 saving model
1 1.23691745996 1.20351469517 saving model
2 1.05027606487 1.13281667233 saving model
3 0.979593253136 1.09801125526 saving model
4 0.932557731867 1.06461691856 saving model
5 0.881706398726 1.05186867714 saving model
6 0.844145518541 1.04720723629 saving model
7 0.820714318752 1.03439164162 saving model
8 0.774318575859 1.02311909199 saving model
9 0.74820753336 1.05366683006
10 0.733816057444 1.01581954956 saving model
11 0.721652561426 1.00924015045 saving model
12 0.680340003967 1.01985549927
13 0.635074311495 1.04323279858
14 0.618359428644 1.02318525314
15 0.602035832405 1.01293456554
16 0.577502584457 0.999341845512 saving model
17 0.593318092823 1.00823152065
18 0.558564329147 0.989395320415 saving model
19 0.568197697401 1.02783429623
20 0.529964083433 1.01659274101
21 0.519442114234 1.03588056564
22 0.517211031914 1.03032040596
23 0.571306788921 1.18443179131
24 0.662088865042 1.03740465641
25 0.623053264618 1.0697633028
26 0.567109042406 1.04515373707
27 0.494478547573 1.01080787182
28 0.456321454048 1.00615167618
29 0.429569017887 1.03120338917
30 0.449201250076 1.0310767889
31 0.427575090528 1.059471488
32 0.405633920431 1.03071570396
33 0.412389287353 1.05819690228
34 0.385602033138 1.01263260841
35 0.374058672786 1.0377805233
36 0.397763323784 1.04560697079
37 0.42142713666 1.05378520489
38 0.398423913121 1.07219171524
39 0.420127552748 1.03192937374
40 0.397399327159 1.046875
41 0.374423381686 1.04966151714
42 0.371286550164 1.02091872692
43 0.345626020432 1.04370331764
44 0.345732143521 1.02948451042
45 0.335985887051 1.04117321968
46 0.327442279458 1.02050745487
47 0.344523957372 1.05941879749
48 0.38001627326 1.05117583275
49 0.35322574079 1.06119573116
model number is: 22310
mae:  1.02866744384
corr:  0.609211982
mult_acc:  0.30029
mult f_score:  0.31478
Confusion Matrix :
[[290  89]
 [ 85 222]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77333   0.76517   0.76923       379
        True    0.71383   0.72313   0.71845       307

   micro avg    0.74636   0.74636   0.74636       686
   macro avg    0.74358   0.74415   0.74384       686
weighted avg    0.74670   0.74636   0.74650       686

Accuracy  0.746355685131
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 128, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [256, 16, 32], 'momentum': 0.1}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}]
0 1.25107475072 1.38413476944 saving model
1 1.03159810305 1.11723542213 saving model
2 0.83307403326 0.98957914114 saving model
3 0.717277821898 0.980576872826 saving model
4 0.631558280438 0.989986479282
5 0.546929857135 1.02500605583
6 0.531777819991 0.965792775154 saving model
7 0.474542734399 0.987773776054
8 0.434024266899 0.990044116974
9 0.456965999305 1.03535175323
10 0.401761542261 1.08080101013
11 0.441818912327 0.983901381493
12 0.402938267961 1.03622078896
13 0.446099811792 0.991538643837
14 0.354435930029 0.969302237034
15 0.29851048775 1.00288057327
16 0.324725663289 0.960956573486 saving model
17 0.342230770737 1.00595259666
18 0.327201260626 0.980470597744
19 0.260333899036 0.98358631134
20 0.257806377858 0.958912014961 saving model
21 0.284402342513 0.97319996357
22 0.248061387986 0.992592871189
23 0.226552988961 1.02368807793
24 0.23960717544 0.954260706902 saving model
25 0.248189502209 0.933407723904 saving model
26 0.223668634146 1.00469172001
27 0.211445194483 1.00436103344
28 0.213259649277 0.974139928818
29 0.230807794631 0.989506006241
30 0.235322498158 0.983546316624
31 0.242136231251 1.00546658039
32 0.249082510918 0.996253788471
33 0.236824850366 0.959175884724
34 0.249145238847 0.969786703587
35 0.26608809717 1.05279076099
36 0.255882234499 1.0430072546
37 0.279521795362 0.99471026659
38 0.258260001242 0.970739543438
39 0.270879337564 0.966950058937
40 0.28485166952 1.02771496773
41 0.285238574073 1.06756711006
42 0.231618904695 1.02422320843
43 0.207047909126 0.976887524128
44 0.188979673758 1.00064468384
45 0.192000861093 0.984616875648
46 0.208505974337 1.0002361536
47 0.208884300292 1.00425291061
48 0.231165876426 1.01673066616
49 0.204865529388 0.987102687359
model number is: 86865
mae:  1.05023647285
corr:  0.606010508719
mult_acc:  0.31778
mult f_score:  0.33866
Confusion Matrix :
[[267 112]
 [ 74 233]]
Classification Report :
              precision    recall  f1-score   support

       False    0.78299   0.70449   0.74167       379
        True    0.67536   0.75896   0.71472       307

   micro avg    0.72886   0.72886   0.72886       686
   macro avg    0.72918   0.73172   0.72820       686
weighted avg    0.73482   0.72886   0.72961       686

Accuracy  0.728862973761
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 300, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [256, 64, 48], 'momentum': 0.9}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.2}]
0 1.18416459858 1.10860455036 saving model
1 0.931319381297 0.99057662487 saving model
2 0.819400055707 0.992848217487
3 0.806068113446 0.929199457169 saving model
4 0.710752250254 0.940623164177
5 0.61696350798 0.919971168041 saving model
6 0.536155647039 0.920165479183
7 0.502150360495 0.916367769241 saving model
8 0.45822737664 0.916356921196 saving model
9 0.427327277511 0.967034995556
10 0.457651424408 0.964879453182
11 0.423899366707 0.939218580723
12 0.407776220888 1.01716685295
13 0.371885493398 0.968602061272
14 0.389715409651 0.923114836216
15 0.402263168991 1.0163371563
16 0.396684719622 1.05017340183
17 0.445449379086 0.975818693638
18 0.443534552306 0.90551918745 saving model
19 0.409347758442 0.947498440742
20 0.345856965706 0.866115868092 saving model
21 0.324871079624 0.880801677704
22 0.316624854133 0.887027919292
23 0.28084327355 0.912655651569
24 0.281480216607 0.923899888992
25 0.261902905256 0.981332302094
26 0.2810222812 0.946081161499
27 0.299184152856 0.943969845772
28 0.32482829988 0.888194084167
29 0.327557258308 0.916610121727
30 0.329356270283 0.913134217262
31 0.293730788305 0.970730185509
32 0.292318802699 0.96913766861
33 0.259086538851 0.937715113163
34 0.289035351202 0.918785274029
35 0.267777387053 0.941251933575
36 0.258767076582 0.883026123047
37 0.253554267064 0.877962887287
38 0.297999786213 0.958242833614
39 0.286334618926 0.970719873905
40 0.235299424455 0.905362725258
41 0.245812796056 0.920910179615
42 0.221388472244 0.910791039467
43 0.232452683523 0.893976092339
44 0.256040889397 0.901361525059
45 0.220762292296 0.950543284416
46 0.277521335334 0.969548404217
47 0.282097243518 0.915106356144
48 0.252316987142 0.896746695042
49 0.236087285355 0.936937510967
model number is: 93349
mae:  1.01244817509
corr:  0.606673389459
mult_acc:  0.32945
mult f_score:  0.33356
Confusion Matrix :
[[285  94]
 [ 87 220]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76613   0.75198   0.75899       379
        True    0.70064   0.71661   0.70853       307

   micro avg    0.73615   0.73615   0.73615       686
   macro avg    0.73338   0.73430   0.73376       686
weighted avg    0.73682   0.73615   0.73641       686

Accuracy  0.736151603499
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [88, 64, 48], 'momentum': 0.5}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}]
0 1.24650437832 1.24922728539 saving model
1 1.02369989753 1.11003601551 saving model
2 0.879263740778 1.03590297699 saving model
3 0.793998676538 0.984923243523 saving model
4 0.72095323801 0.967519044876 saving model
5 0.687862318754 0.979321062565
6 0.613718575239 0.995529413223
7 0.605037111044 1.03057324886
8 0.593150943518 1.01965451241
9 0.500790563226 1.01650178432
10 0.504227161407 1.01518678665
11 0.508306613564 1.00500631332
12 0.499647578597 0.998458087444
13 0.482118707895 1.0071208477
14 0.479633760452 1.04974603653
15 0.554903358221 1.1096996069
16 0.645985475183 1.0682964325
17 0.520918640494 0.970350384712
18 0.425133320689 0.985903680325
19 0.394401401281 0.983558237553
20 0.350433161855 0.998857796192
21 0.343105819821 0.971004724503
22 0.335986113548 0.989506244659
23 0.358908835053 0.988242328167
24 0.34457963109 0.995097339153
25 0.383207708597 1.01424205303
26 0.435084265471 1.00776934624
27 0.391717270017 0.990161716938
28 0.314559596777 0.979256510735
29 0.318276388943 0.994068682194
30 0.287375211716 0.997418105602
31 0.3144954741 1.01630759239
32 0.343538990617 0.998169064522
33 0.308630529046 1.02909362316
34 0.277439796925 0.995462477207
35 0.276061061025 1.006929636
36 0.289190807939 1.01450681686
37 0.31415784061 0.997475981712
38 0.276774981618 1.00837886333
39 0.301360023022 0.992264568806
40 0.267069409788 0.992067217827
41 0.260552439094 1.01506853104
42 0.291054186225 1.00238013268
43 0.28794580698 1.01465749741
44 0.274261644483 1.00619566441
45 0.259428793192 0.994567215443
46 0.276273357868 1.01166009903
47 0.295238921046 0.973875403404
48 0.245981355011 1.01166689396
49 0.228056077659 1.00390982628
model number is: 13804
mae:  1.00736173673
corr:  0.637376543375
mult_acc:  0.30321
mult f_score:  0.31687
Confusion Matrix :
[[314  65]
 [110 197]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74057   0.82850   0.78207       379
        True    0.75191   0.64169   0.69244       307

   micro avg    0.74490   0.74490   0.74490       686
   macro avg    0.74624   0.73509   0.73726       686
weighted avg    0.74564   0.74490   0.74196       686

Accuracy  0.744897959184
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 256, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [32, 16, 48], 'momentum': 0.1}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.0}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}]
0 1.31446019411 1.38049066067 saving model
1 1.25389351845 1.2804043293 saving model
2 1.07287913561 1.1066185236 saving model
3 0.950631076097 1.08252513409 saving model
4 0.865761584044 1.07728886604 saving model
5 0.824925786257 1.05738472939 saving model
6 0.794372874498 1.0478451252 saving model
7 0.765858733654 1.05186796188
8 0.750107854605 1.09237623215
9 0.753529471159 1.05698406696
10 0.758181387186 1.03748035431 saving model
11 0.723318785429 1.03341591358 saving model
12 0.674819040298 1.03303158283 saving model
13 0.615405589342 1.01744008064 saving model
14 0.569836419821 1.00800609589 saving model
15 0.534455737472 1.02019786835
16 0.544367274642 1.01638686657
17 0.505891865492 1.01914429665
18 0.472075173259 1.03151357174
19 0.469464200735 1.06009328365
20 0.482825535536 1.10113549232
21 0.530995103717 1.02760350704
22 0.569904103875 1.08337032795
23 0.579302033782 1.0166567564
24 0.443536686897 1.00077664852 saving model
25 0.401207503676 1.01408338547
26 0.373504784703 0.996585905552 saving model
27 0.355849415064 1.01188731194
28 0.359097272158 1.01656222343
29 0.348347815871 1.01786887646
30 0.343260923028 1.0133907795
31 0.356325262785 1.01091182232
32 0.410519394279 1.00599038601
33 0.387335726619 1.04519343376
34 0.401082855463 1.04357492924
35 0.41255787611 1.0152412653
36 0.40660892427 1.03329610825
37 0.371594709158 1.00791978836
38 0.341606396437 1.03369104862
39 0.334955245256 1.00333023071
40 0.317996487021 1.01491248608
41 0.307454451919 1.02163517475
42 0.32609321177 1.01562035084
43 0.318534493446 1.02830350399
44 0.309103086591 1.01427447796
45 0.283080223203 1.01127493382
46 0.280580881238 1.02053534985
47 0.282986536622 1.02963805199
48 0.301158878207 1.00978505611
49 0.304197481275 1.01818275452
model number is: 2536
mae:  1.02902454344
corr:  0.613874318816
mult_acc:  0.30029
mult f_score:  0.31507
Confusion Matrix :
[[274 105]
 [ 78 229]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77841   0.72296   0.74966       379
        True    0.68563   0.74593   0.71451       307

   micro avg    0.73324   0.73324   0.73324       686
   macro avg    0.73202   0.73444   0.73208       686
weighted avg    0.73689   0.73324   0.73393       686

Accuracy  0.733236151603
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 64, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [256, 80, 32], 'momentum': 0.5}, {'shapes': 256, 'drop': 0.2}, {'shapes': 32, 'drop': 0.5}, {'shapes': 64, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}, {'shapes': 128, 'drop': 0.2}]
0 1.30195801258 1.31923627853 saving model
1 1.18052451611 1.35494554043
2 1.11244015694 1.19663715363 saving model
3 1.04841756821 1.15856158733 saving model
4 0.97661293745 1.12761318684 saving model
5 0.919430732727 1.11177670956 saving model
6 0.869531989098 1.05841004848 saving model
7 0.821527457237 1.02733170986 saving model
8 0.779401016235 1.01069796085 saving model
9 0.744807314873 1.00021517277 saving model
10 0.714966619015 0.989912569523 saving model
11 0.677619063854 0.996330916882
12 0.64821075201 1.03525948524
13 0.682573783398 1.06195306778
14 0.714015328884 1.05199158192
15 0.619181525707 1.00531613827
16 0.569498169422 0.976818144321 saving model
17 0.550014948845 1.00792467594
18 0.506442272663 1.01677024364
19 0.468586337566 1.03097188473
20 0.473924559355 0.993500709534
21 0.44265089035 1.00675296783
22 0.427338320017 0.960306346416 saving model
23 0.385174036026 1.01611208916
24 0.36835873723 1.01380419731
25 0.388510411978 1.03241491318
26 0.387352532148 1.03185248375
27 0.403277492523 1.00134301186
28 0.347153997421 1.01263475418
29 0.337030351162 0.995482206345
30 0.287646964192 1.0171097517
31 0.284207648039 1.00543606281
32 0.278168898821 1.03967130184
33 0.291211903095 1.03509557247
34 0.303664088249 1.03392231464
35 0.280624562502 1.02646100521
36 0.25073043406 0.998641014099
37 0.234049490094 1.01116633415
38 0.223428562284 1.01820683479
39 0.20785343945 1.00901949406
40 0.200022190809 1.01939988136
41 0.196560516953 1.02369046211
42 0.204460066557 1.0109629631
43 0.229028749466 1.01548182964
44 0.225015476346 1.01153039932
45 0.199758067727 1.01199316978
46 0.196659690142 1.00591599941
47 0.180505797267 1.02771806717
48 0.194655966759 1.00962901115
49 0.189165231586 1.02901613712
model number is: 54818
mae:  1.03034725621
corr:  0.609236200308
mult_acc:  0.32945
mult f_score:  0.33476
Confusion Matrix :
[[295  84]
 [ 99 208]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74873   0.77836   0.76326       379
        True    0.71233   0.67752   0.69449       307

   micro avg    0.73324   0.73324   0.73324       686
   macro avg    0.73053   0.72794   0.72888       686
weighted avg    0.73244   0.73324   0.73248       686

Accuracy  0.733236151603
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [32, 32, 64], 'momentum': 0.9}, {'shapes': 256, 'drop': 0.7}, {'shapes': 64, 'drop': 0.5}, {'shapes': 128, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}, {'shapes': 256, 'drop': 0.5}]
0 1.31202218533 1.30849528313 saving model
1 1.08318741322 1.22550880909 saving model
2 0.92789222002 1.06456387043 saving model
3 0.862235915661 1.03850495815 saving model
4 0.791460716724 0.987230420113 saving model
5 0.703976356983 0.968391120434 saving model
6 0.643585240841 0.979337573051
7 0.642203569412 0.966769635677 saving model
8 0.589745271206 0.969049036503
9 0.53525480032 1.03747022152
10 0.579507303238 0.990168452263
11 0.639248251915 1.12281632423
12 0.696400976181 1.01538312435
13 0.493430840969 0.990987122059
14 0.499084061384 1.03394842148
15 0.498651909828 0.973989665508
16 0.406564038992 0.979516923428
17 0.37922320962 0.993193626404
18 0.363306868076 0.967457354069
19 0.354396247864 0.965953230858 saving model
20 0.347259056568 0.955538928509 saving model
21 0.344224631786 0.954536139965 saving model
22 0.373353165388 0.989618122578
23 0.386067253351 1.03370690346
24 0.424229687452 0.997398495674
25 0.353565239906 0.959278345108
26 0.295194470882 0.967637777328
27 0.315972983837 0.985266387463
28 0.2965916574 0.970698595047
29 0.273548382521 0.971123099327
30 0.274085587263 0.969774007797
31 0.269668227434 0.997641742229
32 0.290709358454 0.979540169239
33 0.266341158748 0.977024316788
34 0.25677267015 0.996670842171
35 0.259102779627 1.00513446331
36 0.267808490992 1.00589108467
37 0.298942559958 0.984019577503
38 0.256931176782 0.983943343163
39 0.257315856218 0.966471493244
40 0.258392092586 1.00059938431
41 0.273748499155 0.977032899857
42 0.244907790422 0.982809185982
43 0.234852552414 0.986433029175
44 0.232483845949 0.979439377785
45 0.224978721142 0.97481161356
46 0.233956378698 0.97173166275
47 0.218920597434 0.970744371414
48 0.222419565916 0.998606204987
49 0.223675486445 0.989053070545
model number is: 30333
mae:  1.05878258599
corr:  0.56503627854
mult_acc:  0.28426
mult f_score:  0.2873
Confusion Matrix :
[[295  84]
 [117 190]]
Classification Report :
              precision    recall  f1-score   support

       False    0.71602   0.77836   0.74589       379
        True    0.69343   0.61889   0.65404       307

   micro avg    0.70700   0.70700   0.70700       686
   macro avg    0.70473   0.69863   0.69997       686
weighted avg    0.70591   0.70700   0.70479       686

Accuracy  0.706997084548
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [156, 80, 8], 'momentum': 0.3}, {'shapes': 64, 'drop': 0.2}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.5}]
0 1.27909390926 1.20077550411 saving model
1 1.20788462162 1.27766275406
2 1.11525769234 1.19188666344 saving model
3 1.032056427 1.11782777309 saving model
4 0.959772861004 1.0530359745 saving model
5 0.880289244652 1.02798581123 saving model
6 0.807782375813 1.03220236301
7 0.794899606705 0.999766528606 saving model
8 0.719792485237 0.951349437237 saving model
9 0.652483785152 1.00128567219
10 0.627375543118 0.975238502026
11 0.605739343166 0.987860798836
12 0.579781985283 0.959611654282
13 0.51694021225 0.943994045258 saving model
14 0.523193717003 0.950848400593
15 0.504855936766 0.929683089256 saving model
16 0.458731865883 0.948021352291
17 0.468733984232 0.983157873154
18 0.47220698595 0.939955770969
19 0.430556702614 0.947682857513
20 0.430023902655 0.929785728455
21 0.433153653145 0.928459763527 saving model
22 0.403055161238 0.919296324253 saving model
23 0.384741938114 0.944783329964
24 0.366406869888 0.906728863716 saving model
25 0.383294332027 0.915308952332
26 0.371369081736 0.90907907486
27 0.385236173868 0.903241813183 saving model
28 0.3706207335 0.946147620678
29 0.385988765955 0.930602550507
30 0.366901957989 0.954189181328
31 0.372658675909 0.941550731659
32 0.351238673925 0.945445895195
33 0.359033346176 0.939311444759
34 0.360671257973 0.934946775436
35 0.349317497015 0.921798050404
36 0.334088397026 0.926246464252
37 0.33706496954 0.947186589241
38 0.330896317959 0.918198406696
39 0.35819041729 0.91732776165
40 0.323661196232 0.935812711716
41 0.33597407937 0.927750051022
42 0.329328238964 0.908066391945
43 0.335452675819 0.911831498146
44 0.341260194778 0.910261511803
45 0.328078442812 0.914996266365
46 0.333880263567 0.926985800266
47 0.340778797865 0.921005189419
48 0.318721580505 0.90865111351
49 0.311089938879 0.910457849503
model number is: 73954
mae:  1.08268941554
corr:  0.581593109231
mult_acc:  0.30175
mult f_score:  0.31906
Confusion Matrix :
[[272 107]
 [ 88 219]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75556   0.71768   0.73613       379
        True    0.67178   0.71336   0.69194       307

   micro avg    0.71574   0.71574   0.71574       686
   macro avg    0.71367   0.71552   0.71404       686
weighted avg    0.71806   0.71574   0.71636       686

Accuracy  0.715743440233
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 256, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [64, 32, 32], 'momentum': 0.9}, {'shapes': 64, 'drop': 0.5}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.2}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}]
0 1.3220079422 1.41072821617 saving model
1 1.311703372 1.39502322674 saving model
2 1.27976660728 1.34853184223 saving model
3 1.19805588722 1.20696568489 saving model
4 1.06892821789 1.10056519508 saving model
5 1.02565236092 1.15293836594
6 0.994928836823 1.10451340675
7 0.927561497688 1.06718420982 saving model
8 0.88119354248 1.04463207722 saving model
9 0.885772716999 1.04712176323
10 0.85974906683 1.03909575939 saving model
11 0.813230597973 1.02513694763 saving model
12 0.826817727089 1.03385138512
13 0.797855997086 1.04018592834
14 0.7837028265 1.02008414268 saving model
15 0.758546078205 1.00284767151 saving model
16 0.724572777748 1.02448427677
17 0.727398991585 1.04549872875
18 0.723082125187 1.01335167885
19 0.697895348072 1.00313532352
20 0.674459064007 1.0300951004
21 0.668062651157 1.03562021255
22 0.653297138214 1.02503120899
23 0.626360976696 1.01771950722
24 0.617413508892 1.02304518223
25 0.617532384396 1.04172921181
26 0.586850810051 1.04147696495
27 0.571120679379 1.03786790371
28 0.556499862671 1.03367197514
29 0.559372937679 1.04556131363
30 0.547150480747 1.06796002388
31 0.559807562828 1.03512465954
32 0.516145300865 1.03134310246
33 0.509272819757 1.02709400654
34 0.509785401821 1.0340565443
35 0.476711934805 1.03109192848
36 0.468474793434 1.02904355526
37 0.455567198992 1.01971781254
38 0.470411074162 1.021530509
39 0.444061440229 1.01332044601
40 0.423161172867 1.010835886
41 0.432716482878 1.0240881443
42 0.44063129425 1.03859937191
43 0.428343325853 1.02846944332
44 0.434673523903 1.02723264694
45 0.422114646435 1.01514220238
46 0.41211835146 1.01326739788
47 0.402465158701 1.01821064949
48 0.417870908976 1.0259090662
49 0.38827471137 1.03815579414
model number is: 94694
mae:  1.01790325349
corr:  0.629316553601
mult_acc:  0.30758
mult f_score:  0.35091
Confusion Matrix :
[[299  80]
 [ 98 209]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75315   0.78892   0.77062       379
        True    0.72318   0.68078   0.70134       307

   micro avg    0.74052   0.74052   0.74052       686
   macro avg    0.73817   0.73485   0.73598       686
weighted avg    0.73974   0.74052   0.73962       686

Accuracy  0.740524781341
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 300, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [88, 16, 80], 'momentum': 0.6}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.2}, {'shapes': 128, 'drop': 0.2}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}]
0 1.20829838216 1.19932603836 saving model
1 0.95130173564 1.07496237755 saving model
2 0.772596895695 0.956355571747 saving model
3 0.663928085566 0.971133828163
4 0.608915957808 0.900335907936 saving model
5 0.538953439891 0.901377022266
6 0.489003266394 0.921108186245
7 0.449324758351 0.973613023758
8 0.427588941157 0.943713486195
9 0.386470896006 0.941900908947
10 0.383544753492 0.949929118156
11 0.387934567034 1.00386095047
12 0.379005375504 0.897402584553 saving model
13 0.34308348 0.919764876366
14 0.33343436867 0.943853378296
15 0.297947403044 0.989739835262
16 0.286122526973 0.911693334579
17 0.342971734703 0.909336745739
18 0.423266847432 0.969153642654
19 0.379650338739 0.979487121105
20 0.349446460605 0.955795228481
21 0.314883165061 0.940441191196
22 0.242174356431 0.925615668297
23 0.245662211627 0.959004938602
24 0.266612485051 1.14958918095
25 0.462196421623 0.95348238945
26 0.417121998966 0.972641706467
27 0.348169060051 0.947565615177
28 0.261973131448 0.921897768974
29 0.229651657492 0.941331326962
30 0.208513628691 0.911395430565
31 0.213261935115 0.898973286152
32 0.256016453356 0.922291696072
33 0.298514726758 0.918339073658
34 0.230453160405 0.900723814964
35 0.186728842556 0.909528017044
36 0.198381330818 0.921861350536
37 0.209132946283 0.90960162878
38 0.218150609732 0.968705952168
39 0.325630694628 0.953363001347
40 0.350681780279 0.966189861298
41 0.316651248187 0.9717425704
42 0.266192130744 0.936354339123
43 0.236600647867 0.956242263317
44 0.209242909402 0.936726927757
45 0.219210820645 0.932320654392
46 0.193495838344 0.944070637226
47 0.191340918839 0.935377418995
48 0.184993457049 0.976804494858
49 0.251538871974 0.966848671436
model number is: 9830
mae:  1.04193963974
corr:  0.604623061266
mult_acc:  0.30904
mult f_score:  0.32975
Confusion Matrix :
[[297  82]
 [108 199]]
Classification Report :
              precision    recall  f1-score   support

       False    0.73333   0.78364   0.75765       379
        True    0.70819   0.64821   0.67687       307

   micro avg    0.72303   0.72303   0.72303       686
   macro avg    0.72076   0.71592   0.71726       686
weighted avg    0.72208   0.72303   0.72150       686

Accuracy  0.723032069971
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 64, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [256, 80, 48], 'momentum': 0.3}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}]
0 1.24783847928 1.17229855061 saving model
1 1.06180389076 1.01602733135 saving model
2 0.949083708227 0.961556494236 saving model
3 0.819426323473 0.967588186264
4 0.792408315837 0.967249929905
5 0.71732404083 0.983498811722
6 0.701293473691 0.945523500443 saving model
7 0.706396785378 0.907965123653 saving model
8 0.683326640725 1.01049697399
9 0.619249768555 0.935495257378
10 0.584788888693 0.936908304691
11 0.55837154761 0.934399306774
12 0.596878410131 1.00612902641
13 0.561883788556 0.946775197983
14 0.552482713759 0.889887928963 saving model
15 0.533991573751 0.925115287304
16 0.541654061526 0.947743535042
17 0.538902068138 0.916606366634
18 0.515223398805 0.967600524426
19 0.510171598941 0.914912223816
20 0.502657584846 0.900664865971
21 0.495501125604 0.899165391922
22 0.47800982967 0.951471507549
23 0.478623344004 0.904480755329
24 0.471798749268 0.912107646465
25 0.47781322822 0.932188272476
26 0.485842911899 0.89662283659
27 0.497313856333 0.959452629089
28 0.517680378258 0.961435258389
29 0.503328774869 0.886183381081 saving model
30 0.497439233959 0.971361756325
31 0.457057225704 0.950228333473
32 0.481372368336 0.927424550056
33 0.431535834074 0.911824524403
34 0.470272147655 0.910401761532
35 0.46768052876 0.965877890587
36 0.457235384732 0.945766448975
37 0.427032326162 0.963739931583
38 0.44915926829 0.933972239494
39 0.431168750674 0.933567225933
40 0.442690344155 0.916961669922
41 0.440867141634 0.928006231785
42 0.43358078301 0.94049012661
43 0.453024992347 0.974884986877
44 0.447584218532 0.900978028774
45 0.45621041134 0.901810348034
46 0.428547105193 0.91908043623
47 0.451215651631 0.944253027439
48 0.418951831013 0.951049268246
49 0.405068101734 0.919742882252
model number is: 20826
mae:  1.03536616097
corr:  0.605529043013
mult_acc:  0.31487
mult f_score:  0.3297
Confusion Matrix :
[[273 106]
 [ 88 219]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75623   0.72032   0.73784       379
        True    0.67385   0.71336   0.69304       307

   micro avg    0.71720   0.71720   0.71720       686
   macro avg    0.71504   0.71684   0.71544       686
weighted avg    0.71936   0.71720   0.71779       686

Accuracy  0.717201166181
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 64, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [88, 16, 32], 'momentum': 0.1}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.0}, {'shapes': 32, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}]
0 1.13354397565 1.09737598896 saving model
1 0.890151003003 1.04042994976 saving model
2 0.818388713896 0.97396504879 saving model
3 0.712835302949 1.04627215862
4 0.663396300375 1.02848935127
5 0.627781906724 0.961184024811 saving model
6 0.552341462672 0.967379212379
7 0.511284194142 0.947126507759 saving model
8 0.522692822665 0.97847443819
9 0.520234116167 0.939851403236 saving model
10 0.480517655611 0.912829041481 saving model
11 0.436817019433 0.948248505592
12 0.417795997858 1.00128102303
13 0.431444703043 0.961453378201
14 0.454148647934 1.03734076023
15 0.416745422035 1.0838714838
16 0.482965300232 0.989357471466
17 0.513770640641 0.980111062527
18 0.528824649006 0.920039176941
19 0.425366058946 0.928652942181
20 0.359872900695 0.952885508537
21 0.329134681076 0.949834704399
22 0.320002141967 0.935326039791
23 0.317245159298 0.95684915781
24 0.295643216744 0.946713924408
25 0.292922670394 0.955987930298
26 0.312419488654 0.956977009773
27 0.302200984582 0.988132536411
28 0.33858923465 0.963164687157
29 0.348860720918 0.940234959126
30 0.311285084859 0.965802371502
31 0.313047983497 0.953019559383
32 0.291980560869 0.956998050213
33 0.280418492854 0.95215344429
34 0.277775019035 0.954594492912
35 0.278340757638 0.954271733761
36 0.290518552437 0.947351932526
37 0.282449358702 0.960128128529
38 0.307457963005 0.955591619015
39 0.32891132459 1.01797783375
40 0.358338665217 1.0831669569
41 0.386355232447 1.01272368431
42 0.35007971935 0.921700000763
43 0.312106161937 0.923217356205
44 0.27297696732 0.924863696098
45 0.279073068127 0.952701210976
46 0.270137485117 0.951337516308
47 0.281614490226 0.972784638405
48 0.284006074816 1.00964558125
49 0.301015581191 0.996082127094
model number is: 80310
mae:  1.03825794784
corr:  0.621028548136
mult_acc:  0.30612
mult f_score:  0.3304
Confusion Matrix :
[[280  99]
 [ 83 224]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77135   0.73879   0.75472       379
        True    0.69350   0.72964   0.71111       307

   micro avg    0.73469   0.73469   0.73469       686
   macro avg    0.73242   0.73421   0.73291       686
weighted avg    0.73651   0.73469   0.73520       686

Accuracy  0.734693877551
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 400, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [156, 64, 8], 'momentum': 0.3}, {'shapes': 32, 'drop': 0.0}, {'shapes': 128, 'drop': 0.5}, {'shapes': 32, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}, {'shapes': 128, 'drop': 0.5}]
0 1.3202739954 1.38792455196 saving model
1 1.25513634682 1.24263417721 saving model
2 1.08312430382 1.20889925957 saving model
3 1.07658948898 1.19464492798 saving model
4 1.00286762714 1.1449226141 saving model
5 0.929936730862 1.13063812256 saving model
6 0.905829977989 1.06777834892 saving model
7 0.838254082203 1.03992533684 saving model
8 0.805569422245 1.02224647999 saving model
9 0.778660011292 1.02276206017
10 0.760304105282 1.03419423103
11 0.749130249023 1.049736619
12 0.769852519035 0.991923630238 saving model
13 0.698360133171 0.999406039715
14 0.646089851856 1.004165411
15 0.619136786461 0.999079167843
16 0.601918840408 0.991483986378 saving model
17 0.573928201199 0.997902572155
18 0.54301455617 0.996435582638
19 0.524295425415 1.02886152267
20 0.522794765234 1.05243706703
21 0.560870552063 1.02786278725
22 0.568883436918 1.07016134262
23 0.574269998074 1.03431904316
24 0.473558819294 1.03853607178
25 0.458087342978 1.03756308556
26 0.442998546362 1.05847632885
27 0.448742383718 1.02174055576
28 0.404769682884 1.02986228466
29 0.377093672752 1.02310752869
30 0.37006354928 1.02034652233
31 0.34300429225 1.03274226189
32 0.347373580933 1.02487635612
33 0.353547286987 1.02095580101
34 0.345172584057 1.0196852684
35 0.351427447796 1.02274930477
36 0.331929188967 1.00943601131
37 0.320176559687 1.0040615797
38 0.304814863205 0.996902346611
39 0.298055976629 0.991734683514
40 0.284716340899 1.00913739204
41 0.272311493754 1.00010585785
42 0.26358346045 1.00774943829
43 0.254580745101 0.981202304363 saving model
44 0.256819999218 0.993990123272
45 0.251912155747 0.992640078068
46 0.25359300375 0.991675496101
47 0.274989801645 0.980849742889 saving model
48 0.26277500689 1.02685618401
49 0.284732294083 1.00726640224
model number is: 43159
mae:  1.084094552
corr:  0.572926241122
mult_acc:  0.30466
mult f_score:  0.31056
Confusion Matrix :
[[264 115]
 [ 84 223]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75862   0.69657   0.72627       379
        True    0.65976   0.72638   0.69147       307

   micro avg    0.70991   0.70991   0.70991       686
   macro avg    0.70919   0.71148   0.70887       686
weighted avg    0.71438   0.70991   0.71070       686

Accuracy  0.709912536443
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [256, 16, 8], 'momentum': 0.3}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.2}, {'shapes': 64, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}, {'shapes': 128, 'drop': 0.2}]
0 1.23605075777 1.15717196465 saving model
1 0.937481737137 1.04357755184 saving model
2 0.79999075532 1.01760315895 saving model
3 0.69042134285 0.941549122334 saving model
4 0.59735108763 0.973333656788
5 0.574834139645 0.955135405064
6 0.520569832623 0.937017560005 saving model
7 0.4879106462 0.988627851009
8 0.491793578863 1.04579246044
9 0.562103956938 1.01231479645
10 0.489706245065 0.96302241087
11 0.392670255899 0.993376672268
12 0.361791738868 0.967349410057
13 0.346272909641 0.983213126659
14 0.407538287342 0.962064981461
15 0.443339698017 0.977266430855
16 0.390449237823 0.978684186935
17 0.361240421236 1.00786244869
18 0.374463032186 0.93692868948 saving model
19 0.327080585063 0.955472648144
20 0.311836487055 0.988172829151
21 0.325383676589 0.96157771349
22 0.358095639944 0.987373113632
23 0.296469981968 0.996640264988
24 0.326436124742 0.953336179256
25 0.307430382818 0.975057601929
26 0.342128999531 1.01802492142
27 0.419171783328 1.05789530277
28 0.51764703095 1.03522765636
29 0.399326145649 1.01381635666
30 0.340191762894 1.01621127129
31 0.345494700968 1.01968729496
32 0.28744994849 1.07510876656
33 0.321597206593 1.10232853889
34 0.566816321015 1.02914488316
35 0.553468671441 1.11583316326
36 0.543590804935 1.06500017643
37 0.488479050994 1.00829207897
38 0.378907777369 0.970116317272
39 0.307157359272 1.00924861431
40 0.282699388266 0.99190300703
41 0.285947527736 1.00474238396
42 0.301377651095 0.960432946682
43 0.337130206823 1.04794824123
44 0.390245307982 0.968369543552
45 0.337891003489 0.997046470642
46 0.319535785913 0.99336206913
47 0.293940092623 0.965716481209
48 0.304565860331 0.97795766592
49 0.357786163688 0.964881181717
model number is: 10953
mae:  1.0155037431
corr:  0.60602111001
mult_acc:  0.32362
mult f_score:  0.33693
Confusion Matrix :
[[280  99]
 [ 92 215]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75269   0.73879   0.74567       379
        True    0.68471   0.70033   0.69243       307

   micro avg    0.72157   0.72157   0.72157       686
   macro avg    0.71870   0.71956   0.71905       686
weighted avg    0.72227   0.72157   0.72185       686

Accuracy  0.721574344023
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 300, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [156, 32, 16], 'momentum': 0.6}, {'shapes': 32, 'drop': 0.7}, {'shapes': 128, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}, {'shapes': 32, 'drop': 0.0}, {'shapes': 32, 'drop': 0.2}]
0 1.21944368631 1.29983174801 saving model
1 1.05799154788 1.18153643608 saving model
2 0.954280632734 1.03710222244 saving model
3 0.804202106595 1.01470530033 saving model
4 0.74020267874 0.990214824677 saving model
5 0.708351840824 0.957977056503 saving model
6 0.633422005177 1.02342009544
7 0.604638378322 0.972704768181
8 0.591236139089 0.958705186844
9 0.575305040926 0.985827863216
10 0.520441194624 0.90562325716 saving model
11 0.494468700886 0.970370471478
12 0.49629483372 1.03005361557
13 0.488828309625 0.991254627705
14 0.508599875122 0.912319004536
15 0.500540989637 0.962167203426
16 0.487587701529 1.01790201664
17 0.460727006942 0.956349015236
18 0.411363670975 0.990912139416
19 0.393739660829 0.974566757679
20 0.401826599985 0.994146227837
21 0.379079275206 0.985659241676
22 0.36295991689 0.961143910885
23 0.396273804456 0.950747549534
24 0.356435633823 0.949826776981
25 0.374244062975 0.994521021843
26 0.411168412864 0.991748332977
27 0.382280914485 0.999350070953
28 0.354555530101 1.00091695786
29 0.344013443589 0.964015841484
30 0.338842762634 0.947284817696
31 0.334514842555 0.974052727222
32 0.325727244094 0.939571321011
33 0.339167943969 0.998987972736
34 0.332210791111 1.01562297344
35 0.324548048154 1.00805008411
36 0.336543776467 0.992522239685
37 0.317659413442 0.971476852894
38 0.32253886573 0.981870234013
39 0.302116756886 0.96842443943
40 0.31559734568 0.97418743372
41 0.324322622642 0.972603857517
42 0.316257940233 1.00020444393
43 0.315519461036 0.988413274288
44 0.315889909491 1.00686860085
45 0.314697607234 0.961485207081
46 0.321815070882 0.956479132175
47 0.320824441686 0.981676578522
48 0.315428336337 0.958415091038
49 0.305736443773 0.99530428648
model number is: 78668
mae:  1.06981224461
corr:  0.620567042341
mult_acc:  0.30904
mult f_score:  0.33463
Confusion Matrix :
[[261 118]
 [ 71 236]]
Classification Report :
              precision    recall  f1-score   support

       False    0.78614   0.68865   0.73418       379
        True    0.66667   0.76873   0.71407       307

   micro avg    0.72449   0.72449   0.72449       686
   macro avg    0.72641   0.72869   0.72412       686
weighted avg    0.73268   0.72449   0.72518       686

Accuracy  0.724489795918
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 256, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [128, 32, 64], 'momentum': 0.5}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}, {'shapes': 128, 'drop': 0.2}, {'shapes': 128, 'drop': 0.7}]
0 1.31314764023 1.36156654358 saving model
1 1.20068881512 1.18647789955 saving model
2 1.08555107117 1.15252017975 saving model
3 1.00629255772 1.08886492252 saving model
4 0.907698643208 1.08154046535 saving model
5 0.895829951763 1.02739882469 saving model
6 0.829450833797 0.990002095699 saving model
7 0.773757660389 0.970186054707 saving model
8 0.714669299126 0.950838208199 saving model
9 0.664429271221 0.956522166729
10 0.641588640213 0.961948037148
11 0.618857657909 0.923860907555 saving model
12 0.586088550091 0.969486534595
13 0.563041877747 0.95123976469
14 0.53746086359 0.95292365551
15 0.527840054035 0.969691991806
16 0.522745084763 0.943955719471
17 0.537896215916 0.979613482952
18 0.524770963192 0.972573518753
19 0.508880615234 0.953210890293
20 0.446175789833 0.944537699223
21 0.423848330975 0.943001270294
22 0.433120083809 0.987028539181
23 0.401994001865 0.920173406601 saving model
24 0.399087435007 0.940769910812
25 0.405542606115 0.959180414677
26 0.400741994381 0.93560230732
27 0.370697009563 0.975801169872
28 0.364672237635 0.924900114536
29 0.35848377943 0.942787945271
30 0.351581430435 0.95247387886
31 0.341931056976 0.948007106781
32 0.325443589687 0.951858997345
33 0.318006390333 0.94358509779
34 0.303486979008 0.934135615826
35 0.309182292223 0.936116635799
36 0.311608737707 0.945611953735
37 0.313787138462 0.935689508915
38 0.313341289759 0.95736604929
39 0.299958771467 0.957289993763
40 0.293697679043 0.949058711529
41 0.287514126301 0.956673324108
42 0.300712066889 0.934231281281
43 0.292825567722 0.961413800716
44 0.288744807243 0.940176546574
45 0.293673455715 0.959713459015
46 0.303590446711 0.955256283283
47 0.292858654261 0.955053150654
48 0.278991872072 0.96028637886
49 0.288788074255 0.960225462914
model number is: 53301
mae:  1.04659099368
corr:  0.586874714796
mult_acc:  0.30758
mult f_score:  0.32112
Confusion Matrix :
[[298  81]
 [108 199]]
Classification Report :
              precision    recall  f1-score   support

       False    0.73399   0.78628   0.75924       379
        True    0.71071   0.64821   0.67802       307

   micro avg    0.72449   0.72449   0.72449       686
   macro avg    0.72235   0.71724   0.71863       686
weighted avg    0.72357   0.72449   0.72289       686

Accuracy  0.724489795918
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [64, 8, 16], 'momentum': 0.6}, {'shapes': 64, 'drop': 0.2}, {'shapes': 64, 'drop': 0.2}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.2}]
0 1.30913670063 1.34851312637 saving model
1 1.1653649807 1.21391761303 saving model
2 0.997232145071 1.16077589989 saving model
3 0.900858330727 1.07689297199 saving model
4 0.810651391745 1.00204992294 saving model
5 0.752910524607 0.969389557838 saving model
6 0.697425019741 0.959975838661 saving model
7 0.667366200686 0.970088124275
8 0.622258096933 0.986779808998
9 0.583466815948 1.01101303101
10 0.598447400331 1.02781665325
11 0.579279017448 0.984283328056
12 0.508733379841 0.971463918686
13 0.477481645346 1.00063514709
14 0.426815801859 0.988794982433
15 0.409865662456 0.996055901051
16 0.448732423782 1.02932965755
17 0.428069150448 1.00639307499
18 0.386122342944 1.00880777836
19 0.353599500656 0.997196018696
20 0.349540114403 1.04525148869
21 0.359322059155 1.03182220459
22 0.347498700023 1.02404856682
23 0.323600584269 1.01224851608
24 0.355713066459 1.03881442547
25 0.461707442999 1.1125036478
26 0.626365345716 1.08148467541
27 0.465858861804 1.02753329277
28 0.392845660448 1.00015819073
29 0.338839818537 1.00977027416
30 0.321743491292 0.999787330627
31 0.274910327792 0.990604698658
32 0.246573136747 1.00009143353
33 0.22581499964 1.01153409481
34 0.238270123303 1.01804757118
35 0.309241202474 1.08230435848
36 0.404930317402 1.02854001522
37 0.326436427236 0.992331802845
38 0.202317106724 0.982976675034
39 0.197058795393 1.0184994936
40 0.187799949944 1.02662801743
41 0.193517272174 1.04983484745
42 0.272622784972 1.00684511662
43 0.292634505033 1.02900505066
44 0.253508415818 1.0256716013
45 0.229157689214 1.0191924572
46 0.20634752959 1.0412979126
47 0.223650982976 1.04294252396
48 0.236389431357 1.01715040207
49 0.243270821869 1.01709628105
model number is: 36706
mae:  1.00104690145
corr:  0.639145217462
mult_acc:  0.30321
mult f_score:  0.32608
Confusion Matrix :
[[308  71]
 [102 205]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75122   0.81266   0.78074       379
        True    0.74275   0.66775   0.70326       307

   micro avg    0.74781   0.74781   0.74781       686
   macro avg    0.74699   0.74021   0.74200       686
weighted avg    0.74743   0.74781   0.74606       686

Accuracy  0.747813411079
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 300, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [32, 64, 8], 'momentum': 0.3}, {'shapes': 32, 'drop': 0.5}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}]
0 1.33017918169 1.41648852825 saving model
1 1.27839964032 1.22464859486 saving model
2 1.11159398556 1.13538980484 saving model
3 1.03101593852 1.06606841087 saving model
4 0.981333728135 1.04304301739 saving model
5 0.92681158483 1.0265365839 saving model
6 0.875926840305 1.00838959217 saving model
7 0.816205011308 1.00622224808 saving model
8 0.797769591212 0.986816823483 saving model
9 0.74498616159 0.976981639862 saving model
10 0.734301447868 0.998360574245
11 0.71141281724 0.987851679325
12 0.689985388517 0.966872692108 saving model
13 0.645817051828 1.00449061394
14 0.647543206811 1.00728154182
15 0.646750945598 1.00601661205
16 0.619866467267 1.008857131
17 0.603406723589 0.955690205097 saving model
18 0.609170065075 0.969458937645
19 0.592081756145 1.03216087818
20 0.598028760403 0.969017982483
21 0.570899281651 0.96000790596
22 0.552166286111 0.988727927208
23 0.523654650897 0.969414591789
24 0.532013681531 0.959653735161
25 0.52088278383 0.973839759827
26 0.527324493974 0.969706058502
27 0.538057480752 0.936314344406 saving model
28 0.518582462519 0.964099943638
29 0.512802366167 0.983505904675
30 0.497299009562 0.964797794819
31 0.514008162916 0.957078814507
32 0.490891521424 0.969821453094
33 0.498712492734 0.974617779255
34 0.491543667018 0.946751534939
35 0.478719343245 0.964703798294
36 0.493022590131 0.972270309925
37 0.487041576952 0.94757193327
38 0.466509694606 0.942211687565
39 0.489088081568 0.964654803276
40 0.480579604208 0.982412517071
41 0.480208285898 0.980210006237
42 0.490142536163 0.97418653965
43 0.471993526816 0.988772571087
44 0.49606673345 0.984628677368
45 0.47268544808 0.989469408989
46 0.460444748402 0.99241322279
47 0.477473741025 0.986274242401
48 0.456069591641 0.997710049152
49 0.471282637864 0.958615362644
model number is: 33345
mae:  1.01412414557
corr:  0.601601694941
mult_acc:  0.31924
mult f_score:  0.33554
Confusion Matrix :
[[289  90]
 [ 89 218]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76455   0.76253   0.76354       379
        True    0.70779   0.71010   0.70894       307

   micro avg    0.73907   0.73907   0.73907       686
   macro avg    0.73617   0.73632   0.73624       686
weighted avg    0.73915   0.73907   0.73911       686

Accuracy  0.739067055394
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 400, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [256, 80, 64], 'momentum': 0.3}, {'shapes': 32, 'drop': 0.2}, {'shapes': 256, 'drop': 0.0}, {'shapes': 32, 'drop': 0.2}, {'shapes': 128, 'drop': 0.2}, {'shapes': 128, 'drop': 0.0}]
0 1.20574216247 1.16197252274 saving model
1 0.930057576299 1.12782919407 saving model
2 0.831279700994 1.04189050198 saving model
3 0.744405812025 1.04044961929 saving model
4 0.672251555324 1.0998083353
5 0.702140793204 1.07472574711
6 0.651008293033 0.976491868496 saving model
7 0.618159195781 0.991056144238
8 0.546866203845 1.03298401833
9 0.517285104096 0.999018311501
10 0.47285117358 0.997218251228
11 0.409886704385 0.995017230511
12 0.404866147041 1.09283423424
13 0.412369555235 0.982904672623
14 0.368469937146 0.948728263378 saving model
15 0.316905474663 1.0173779726
16 0.312898959219 1.01848566532
17 0.345922958851 1.0268445015
18 0.358112416416 1.0065844059
19 0.292438946664 0.986431598663
20 0.310575985909 1.00362217426
21 0.305015565455 0.991532921791
22 0.362971203029 0.991187632084
23 0.406877356768 0.993441045284
24 0.357166428864 1.04676711559
25 0.31199567318 1.03215265274
26 0.267836868018 1.0019595623
27 0.250707300752 0.988267123699
28 0.22553756386 0.991027057171
29 0.26837066859 0.997899055481
30 0.289122994244 0.965538084507
31 0.269422598928 0.974719166756
32 0.278029157966 1.00631678104
33 0.283601853251 1.01020765305
34 0.278538224846 1.02326083183
35 0.249754475802 0.994833052158
36 0.232781195641 1.09455907345
37 0.345769062638 1.08746361732
38 0.405872628093 1.03414130211
39 0.40798914209 1.00188875198
40 0.354152678698 1.01615762711
41 0.293105095625 0.976673126221
42 0.207765249163 0.997432470322
43 0.192506079376 0.966512203217
44 0.205618330091 0.983995199203
45 0.169769404829 1.00553417206
46 0.176562917978 0.972052037716
47 0.162878050655 0.95984852314
48 0.158077436686 1.00499331951
49 0.187883675098 1.00560379028
model number is: 6102
mae:  1.07633635454
corr:  0.579820599857
mult_acc:  0.293
mult f_score:  0.30763
Confusion Matrix :
[[269 110]
 [ 86 221]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75775   0.70976   0.73297       379
        True    0.66767   0.71987   0.69279       307

   micro avg    0.71429   0.71429   0.71429       686
   macro avg    0.71271   0.71482   0.71288       686
weighted avg    0.71744   0.71429   0.71499       686

Accuracy  0.714285714286
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 64, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [64, 8, 32], 'momentum': 0.9}, {'shapes': 64, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}, {'shapes': 128, 'drop': 0.2}, {'shapes': 128, 'drop': 0.2}]
0 1.2801605016 1.25394463539 saving model
1 1.0028585583 1.08179748058 saving model
2 0.861921833456 1.03145468235 saving model
3 0.799599835277 1.01991331577 saving model
4 0.766178102791 1.03872299194
5 0.707373613119 1.01190543175 saving model
6 0.679673311859 1.01625537872
7 0.634843717515 1.02656841278
8 0.617019458115 1.03890490532
9 0.558487185091 1.02991783619
10 0.53076107651 1.004570961 saving model
11 0.551998556405 1.00226545334 saving model
12 0.493909011781 0.997237443924 saving model
13 0.469122883677 1.00121974945
14 0.475705593079 1.05954325199
15 0.558391016722 1.0306302309
16 0.507704371959 0.995448887348 saving model
17 0.415877012163 1.00992023945
18 0.387989237159 1.01323628426
19 0.396509703249 1.06064295769
20 0.347894084081 1.02716314793
21 0.313823155314 1.04087567329
22 0.312371591851 1.01213657856
23 0.314480077103 1.04430091381
24 0.330595014244 1.04648113251
25 0.345277141035 1.0488935709
26 0.348246927559 1.05939304829
27 0.302109373361 1.07129728794
28 0.29358632192 1.0784432888
29 0.276233962178 1.04822182655
30 0.261886448413 1.04300618172
31 0.260617409647 1.06198072433
32 0.270809175819 1.0544141531
33 0.26166027002 1.03097319603
34 0.251153845713 1.01634013653
35 0.233899765834 1.02170443535
36 0.241432746872 1.06060218811
37 0.259129468724 1.02227914333
38 0.242841545865 1.01674759388
39 0.254248453304 1.02110791206
40 0.232772793993 1.00774645805
41 0.223974679783 1.02355861664
42 0.223311233148 1.0364780426
43 0.19762047492 1.03444266319
44 0.225619482249 1.02052414417
45 0.219855363294 1.03249263763
46 0.203291079029 1.01868224144
47 0.194463141263 0.991212129593 saving model
48 0.214629954286 1.0295727253
49 0.199678215012 1.03041005135
model number is: 62416
mae:  1.081435364
corr:  0.578978806853
mult_acc:  0.29155
mult f_score:  0.29761
Confusion Matrix :
[[259 120]
 [ 84 223]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75510   0.68338   0.71745       379
        True    0.65015   0.72638   0.68615       307

   micro avg    0.70262   0.70262   0.70262       686
   macro avg    0.70262   0.70488   0.70180       686
weighted avg    0.70813   0.70262   0.70345       686

Accuracy  0.702623906706
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 400, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [256, 80, 16], 'momentum': 0.5}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}]
0 1.24205345213 1.15561723709 saving model
1 0.939348301291 1.05753946304 saving model
2 0.799959333241 1.01572167873 saving model
3 0.797822602093 0.951931893826 saving model
4 0.657439754903 0.944318532944 saving model
5 0.561544134468 0.923688173294 saving model
6 0.54885199517 0.954933226109
7 0.511043760926 0.954247891903
8 0.492165410519 0.986524045467
9 0.46326149404 0.957909941673
10 0.481094881147 1.10582566261
11 0.453244072199 1.07360768318
12 0.442668233067 1.00829529762
13 0.345404516906 1.01138055325
14 0.343432689086 0.969139158726
15 0.323555983976 1.01342642307
16 0.322022739798 0.965797901154
17 0.325270706415 0.939911007881
18 0.289159346372 0.918684899807 saving model
19 0.26411392577 0.988638103008
20 0.297900452092 1.00676953793
21 0.257144565135 0.945965766907
22 0.254758955538 0.96261036396
23 0.320866246149 1.06302809715
24 0.350646075234 1.02973639965
25 0.283039109409 1.01207256317
26 0.268849442899 0.959583520889
27 0.259378628433 0.934154748917
28 0.257058610395 1.00076055527
29 0.274301158637 0.97724199295
30 0.23131583482 0.962620079517
31 0.234858499095 0.960459887981
32 0.226926417649 0.940972208977
33 0.206761125848 0.956544160843
34 0.225772652775 0.985761463642
35 0.24169839099 0.999068617821
36 0.238109503686 0.936751425266
37 0.222161776945 0.948679208755
38 0.197758703679 0.950217008591
39 0.20234345682 0.966127753258
40 0.261235840991 0.938829123974
41 0.218500830978 0.976097285748
42 0.213960181549 0.972242474556
43 0.216727619991 0.898407638073 saving model
44 0.237791440636 0.961392998695
45 0.238541110232 1.00101268291
46 0.225602284446 0.945961654186
47 0.207625492662 0.94231647253
48 0.227848757431 0.965901076794
49 0.171207390539 1.00355470181
model number is: 42556
mae:  0.97291549417
corr:  0.631541032427
mult_acc:  0.35131
mult f_score:  0.35363
Confusion Matrix :
[[300  79]
 [ 97 210]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75567   0.79156   0.77320       379
        True    0.72664   0.68404   0.70470       307

   micro avg    0.74344   0.74344   0.74344       686
   macro avg    0.74116   0.73780   0.73895       686
weighted avg    0.74268   0.74344   0.74254       686

Accuracy  0.743440233236
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 400, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [32, 16, 8], 'momentum': 0.8}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}]
0 1.32298321724 1.41950249672 saving model
1 1.31446881294 1.4112855196 saving model
2 1.30950913429 1.40374732018 saving model
3 1.29965486526 1.39228415489 saving model
4 1.28193349838 1.37098562717 saving model
5 1.25366959572 1.33690917492 saving model
6 1.20497386456 1.27922272682 saving model
7 1.12426640987 1.18820011616 saving model
8 1.01109672785 1.11010980606 saving model
9 0.978137290478 1.13527190685
10 0.945264494419 1.09080302715 saving model
11 0.910081338882 1.10996079445
12 0.884557306767 1.07872998714 saving model
13 0.852603578568 1.07874143124
14 0.82734875679 1.06167554855 saving model
15 0.81162225008 1.05903363228 saving model
16 0.796749746799 1.04707407951 saving model
17 0.768619191647 1.03485059738 saving model
18 0.747015571594 1.03250479698 saving model
19 0.733708739281 1.02770662308 saving model
20 0.710299301147 1.02241873741 saving model
21 0.696070170403 1.0157443285 saving model
22 0.681392359734 1.01016902924 saving model
23 0.671912622452 1.00858342648 saving model
24 0.652973294258 1.01777863503
25 0.652084004879 1.01305735111
26 0.642190539837 1.01391327381
27 0.627246463299 1.00188052654 saving model
28 0.615853428841 0.996573626995 saving model
29 0.583079075813 0.999001443386
30 0.574991703033 1.00105881691
31 0.569690203667 0.998690247536
32 0.561106038094 0.997557044029
33 0.57404717207 1.00888669491
34 0.585828244686 0.992943882942 saving model
35 0.554935264587 1.00821268559
36 0.540700781345 0.999338626862
37 0.507591962814 1.00253784657
38 0.516084557772 1.00059068203
39 0.513939034939 0.995165228844
40 0.494778358936 1.00044620037
41 0.480103605986 1.00234723091
42 0.480688774586 0.994900763035
43 0.469187700748 0.991146326065 saving model
44 0.4702878654 0.996247470379
45 0.457679516077 1.0028128624
46 0.450481694937 1.00273311138
47 0.448843723536 1.01364505291
48 0.46127204299 1.00783407688
49 0.465431469679 1.00256145
model number is: 24222
mae:  1.04410299864
corr:  0.608538529042
mult_acc:  0.32653
mult f_score:  0.35426
Confusion Matrix :
[[278 101]
 [ 71 236]]
Classification Report :
              precision    recall  f1-score   support

       False    0.79656   0.73351   0.76374       379
        True    0.70030   0.76873   0.73292       307

   micro avg    0.74927   0.74927   0.74927       686
   macro avg    0.74843   0.75112   0.74833       686
weighted avg    0.75348   0.74927   0.74994       686

Accuracy  0.749271137026
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 64, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [156, 80, 8], 'momentum': 0.3}, {'shapes': 32, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.2}, {'shapes': 256, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}]
0 1.19004544765 1.20461249352 saving model
1 0.874457527697 1.06983661652 saving model
2 0.730390564352 0.986661314964 saving model
3 0.664830443263 1.01897573471
4 0.62842612192 0.990676879883
5 0.508230365068 0.962460100651 saving model
6 0.522065030038 0.915665209293 saving model
7 0.482169102132 0.924633383751
8 0.46480415538 0.958943128586
9 0.44741403088 0.993277072906
10 0.463125187904 0.956087887287
11 0.417103169858 0.962021887302
12 0.334763463587 0.958433330059
13 0.316236097738 0.990612983704
14 0.298795142397 0.954984724522
15 0.28356163688 0.975027024746
16 0.325895267725 0.931968748569
17 0.343724783882 0.927069425583
18 0.325801829249 0.972724318504
19 0.343246394396 0.914676964283 saving model
20 0.314708898589 0.962863326073
21 0.256983925775 0.930448293686
22 0.278933029994 0.916846752167
23 0.253785511851 0.927982807159
24 0.24462252818 0.89311081171 saving model
25 0.23164078854 0.908122360706
26 0.216145597771 0.952120304108
27 0.232610888034 0.926803469658
28 0.248584512621 0.928437232971
29 0.207304730266 0.898496747017
30 0.182922888547 0.905039429665
31 0.182896479405 0.913520514965
32 0.209280728921 0.915098547935
33 0.238077206537 0.941011786461
34 0.221357674897 0.945186316967
35 0.234466195852 0.918725967407
36 0.228785043955 0.913739979267
37 0.227532819659 0.947966039181
38 0.205613075756 0.960889518261
39 0.195506382175 0.899981796741
40 0.201701133698 0.922757744789
41 0.188124220073 0.980115950108
42 0.174302780442 0.985401153564
43 0.196641097404 0.921080052853
44 0.196162770316 0.944182217121
45 0.190338837355 1.03039443493
46 0.181407671236 0.952582478523
47 0.17256059777 0.920722305775
48 0.218390171044 0.946519553661
49 0.174248072691 0.938558101654
model number is: 86581
mae:  1.0586248283
corr:  0.580648563816
mult_acc:  0.31633
mult f_score:  0.32132
Confusion Matrix :
[[270 109]
 [ 86 221]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75843   0.71240   0.73469       379
        True    0.66970   0.71987   0.69388       307

   micro avg    0.71574   0.71574   0.71574       686
   macro avg    0.71406   0.71614   0.71429       686
weighted avg    0.71872   0.71574   0.71643       686

Accuracy  0.715743440233
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 256, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [64, 8, 32], 'momentum': 0.1}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.5}, {'shapes': 32, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}, {'shapes': 128, 'drop': 0.7}]
0 1.32430615425 1.37672460079 saving model
1 1.20904068947 1.15603876114 saving model
2 1.0398784399 1.11116302013 saving model
3 0.961213624477 1.13414847851
4 0.930126214027 1.05792939663 saving model
5 0.861927485466 1.01113033295 saving model
6 0.803085184097 0.982199430466 saving model
7 0.779556643963 1.00838029385
8 0.745871782303 0.997423171997
9 0.734709858894 0.973450362682 saving model
10 0.688992726803 0.973903477192
11 0.682251381874 1.00333189964
12 0.65654746294 0.998884856701
13 0.633820843697 1.02877271175
14 0.605919337273 1.00023400784
15 0.56709280014 0.99547201395
16 0.522483253479 1.00394356251
17 0.49121901989 0.997442305088
18 0.470377224684 1.00187754631
19 0.449027401209 0.990162551403
20 0.428051924706 1.00634467602
21 0.405855429173 0.982391893864
22 0.417396944761 1.00863277912
23 0.432392346859 1.01063418388
24 0.43962341547 0.980721890926
25 0.451958841085 1.02342534065
26 0.464514291286 0.998314917088
27 0.431023234129 1.03144395351
28 0.416293919086 1.00911164284
29 0.403583854437 1.00603473186
30 0.361016315222 1.0071054697
31 0.353365045786 1.01674985886
32 0.34906039238 0.997652947903
33 0.33639383316 1.00822591782
34 0.325642639399 0.988625049591
35 0.338959407806 0.971978604794 saving model
36 0.320464777946 0.99255669117
37 0.338271415234 0.969968616962 saving model
38 0.329454481602 0.978744089603
39 0.334325176477 0.96984142065 saving model
40 0.306790822744 0.952154219151 saving model
41 0.31461853981 0.964613080025
42 0.300420206785 0.993225514889
43 0.298259824514 0.973285496235
44 0.295554947853 0.964299142361
45 0.298750340939 0.968194365501
46 0.304399430752 0.95258641243
47 0.291769295931 0.965038836002
48 0.310603201389 0.946688473225 saving model
49 0.287110090256 0.951377093792
model number is: 24676
mae:  1.0644676265
corr:  0.590652284684
mult_acc:  0.29883
mult f_score:  0.30856
Confusion Matrix :
[[270 109]
 [ 79 228]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77364   0.71240   0.74176       379
        True    0.67656   0.74267   0.70807       307

   micro avg    0.72595   0.72595   0.72595       686
   macro avg    0.72510   0.72754   0.72492       686
weighted avg    0.73019   0.72595   0.72668       686

Accuracy  0.725947521866
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 400, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [156, 48, 16], 'momentum': 0.8}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}]
0 1.31288003922 1.39619398117 saving model
1 1.27478106022 1.29540657997 saving model
2 1.14630196095 1.26154577732 saving model
3 1.16340081692 1.19171833992 saving model
4 1.03303586245 1.14304220676 saving model
5 0.981817138195 1.09371292591 saving model
6 0.924040317535 1.0890263319 saving model
7 0.900927090645 1.08090913296 saving model
8 0.868016624451 1.05528616905 saving model
9 0.824342012405 1.0276030302 saving model
10 0.797932159901 1.04080438614
11 0.776901745796 1.03821361065
12 0.78417083025 1.02433252335 saving model
13 0.776994299889 0.999475896358 saving model
14 0.739589810371 1.00046670437
15 0.7179022789 0.993829905987 saving model
16 0.678711771965 1.03477323055
17 0.645779943466 0.991005718708 saving model
18 0.621178507805 1.00402235985
19 0.59858007431 0.994148552418
20 0.595734643936 1.02023768425
21 0.55795763731 1.03029763699
22 0.545924806595 1.02006459236
23 0.554976654053 1.05500507355
24 0.604313838482 1.02621555328
25 0.572918909788 1.07155489922
26 0.531715077162 1.03866839409
27 0.48984606266 1.01189041138
28 0.461350047588 1.03183174133
29 0.442646634579 1.03550636768
30 0.466167771816 1.04652392864
31 0.422614771128 1.04659163952
32 0.437443321943 1.03615534306
33 0.416584354639 1.07347142696
34 0.416605198383 1.02696204185
35 0.391905581951 1.03045547009
36 0.371256303787 1.04898035526
37 0.362801158428 1.03712439537
38 0.380635559559 1.03975343704
39 0.340339338779 1.03739988804
40 0.35058889389 1.04915249348
41 0.362866258621 1.06332576275
42 0.363254648447 1.05752301216
43 0.366500711441 1.05200827122
44 0.374841028452 1.03972697258
45 0.334590339661 1.04065048695
46 0.326789480448 1.04331755638
47 0.323355144262 1.04295647144
48 0.282603812218 1.03767943382
49 0.280171898007 1.05123138428
model number is: 92779
mae:  1.04871180444
corr:  0.620593510925
mult_acc:  0.31778
mult f_score:  0.35465
Confusion Matrix :
[[282  97]
 [ 78 229]]
Classification Report :
              precision    recall  f1-score   support

       False    0.78333   0.74406   0.76319       379
        True    0.70245   0.74593   0.72354       307

   micro avg    0.74490   0.74490   0.74490       686
   macro avg    0.74289   0.74500   0.74337       686
weighted avg    0.74714   0.74490   0.74545       686

Accuracy  0.744897959184
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 256, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [64, 48, 8], 'momentum': 0.8}, {'shapes': 32, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}, {'shapes': 64, 'drop': 0.2}, {'shapes': 64, 'drop': 0.2}, {'shapes': 64, 'drop': 0.5}]
0 1.31572118402 1.39430630207 saving model
1 1.25660042763 1.27068662643 saving model
2 1.09971255064 1.13141667843 saving model
3 0.999847254157 1.10678970814 saving model
4 0.909412586689 1.06955730915 saving model
5 0.879441821575 1.05677258968 saving model
6 0.870525312424 1.06215667725
7 0.806920260191 1.03638410568 saving model
8 0.770044854283 1.03174936771 saving model
9 0.729944491386 1.03351223469
10 0.725855711102 1.02523839474 saving model
11 0.750248369575 1.06896030903
12 0.727259016037 1.02287268639 saving model
13 0.670590400696 1.02586019039
14 0.635965231061 1.02859640121
15 0.60069861114 1.02956449986
16 0.569689075649 1.04628574848
17 0.569972209632 1.02490091324
18 0.580333071947 1.03035962582
19 0.588692313433 1.0295535326
20 0.540965569019 1.03841567039
21 0.481595143676 1.03433310986
22 0.478883624077 1.03170335293
23 0.454501354694 1.03900694847
24 0.474960671365 1.02394366264
25 0.478522185981 1.03818619251
26 0.417337922752 1.03110599518
27 0.404066042602 1.02065396309 saving model
28 0.40229228735 1.0318903923
29 0.374415096641 1.05340993404
30 0.388584652543 1.05382740498
31 0.390129131079 1.0547516346
32 0.398356430233 1.05441427231
33 0.376019097865 1.07507741451
34 0.379368427396 1.03370165825
35 0.364197009802 1.04212415218
36 0.370359475911 1.05128514767
37 0.367787902057 1.05480873585
38 0.358352233469 1.03801679611
39 0.35751131922 1.01878833771 saving model
40 0.350856885314 1.0378690958
41 0.326742981374 1.04045569897
42 0.317479492724 1.07697439194
43 0.328531059623 1.02726757526
44 0.31693161726 1.01797950268 saving model
45 0.332323316485 1.0426504612
46 0.308750298619 1.03581094742
47 0.287632714212 1.03796362877
48 0.304561889172 1.04176318645
49 0.290421414375 1.02729463577
model number is: 87206
mae:  1.05122860458
corr:  0.581523788013
mult_acc:  0.31633
mult f_score:  0.32516
Confusion Matrix :
[[279 100]
 [ 88 219]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76022   0.73615   0.74799       379
        True    0.68652   0.71336   0.69968       307

   micro avg    0.72595   0.72595   0.72595       686
   macro avg    0.72337   0.72475   0.72383       686
weighted avg    0.72724   0.72595   0.72637       686

Accuracy  0.725947521866
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [88, 48, 64], 'momentum': 0.5}, {'shapes': 256, 'drop': 0.5}, {'shapes': 128, 'drop': 0.0}, {'shapes': 128, 'drop': 0.7}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}]
0 1.30282267332 1.34388244152 saving model
1 1.11421296 1.26498448849 saving model
2 0.958678275347 1.12971711159 saving model
3 0.856246173382 1.08584237099 saving model
4 0.804709506035 1.10237586498
5 0.770165377855 1.11698555946
6 0.739104145765 1.14073574543
7 0.773462176323 1.05376422405 saving model
8 0.819947522879 1.07637917995
9 0.824240744114 1.06381797791
10 0.686078077555 1.01450479031 saving model
11 0.679456937313 1.01994562149
12 0.615262037516 1.01602244377
13 0.597331920266 0.999753475189 saving model
14 0.543943530321 1.02454733849
15 0.505090478063 1.02596330643
16 0.458232143521 1.04201889038
17 0.480175760388 1.05145716667
18 0.556962063909 1.04784357548
19 0.537406930327 1.06336915493
20 0.513574612141 1.00579667091
21 0.408593180776 1.0112849474
22 0.358992749453 1.01783013344
23 0.322159871459 1.02456700802
24 0.322251185775 1.01627671719
25 0.321556824446 1.0174523592
26 0.359625136852 1.01799321175
27 0.341545635462 1.05160582066
28 0.356982469559 1.0528408289
29 0.33661005795 1.04395341873
30 0.335049188137 1.05836522579
31 0.334905400872 1.04365718365
32 0.34414203763 1.06262755394
33 0.352921688557 1.07101070881
34 0.35260438323 1.03728950024
35 0.314403563738 1.04979801178
36 0.294705228508 1.03903675079
37 0.286326730251 1.09346485138
38 0.285453301668 1.08061206341
39 0.281582801044 1.04991972446
40 0.258086061478 1.03788626194
41 0.254468089342 1.01491093636
42 0.260870194435 1.06597089767
43 0.27968685478 1.05726480484
44 0.2381528005 1.05960762501
45 0.245572659373 1.02686595917
46 0.209389273822 1.04138278961
47 0.220807622373 1.02224087715
48 0.235042102635 1.05132853985
49 0.235502056777 1.06938827038
model number is: 77833
mae:  1.0592293556
corr:  0.57923402681
mult_acc:  0.31924
mult f_score:  0.33208
Confusion Matrix :
[[266 113]
 [ 89 218]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74930   0.70185   0.72480       379
        True    0.65861   0.71010   0.68339       307

   micro avg    0.70554   0.70554   0.70554       686
   macro avg    0.70395   0.70597   0.70409       686
weighted avg    0.70871   0.70554   0.70626       686

Accuracy  0.705539358601
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [156, 48, 64], 'momentum': 0.9}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}]
0 1.29352507591 1.32634997368 saving model
1 1.30090920925 1.32736694813
2 1.17755980492 1.21364724636 saving model
3 1.08312196732 1.13615608215 saving model
4 1.00293582678 1.09937548637 saving model
5 0.92979170084 1.11407351494
6 0.907036542892 1.03368139267 saving model
7 0.882629263401 1.00301647186 saving model
8 0.804183423519 1.00276374817 saving model
9 0.775658488274 0.996511936188 saving model
10 0.703257334232 0.958718657494 saving model
11 0.675294077396 0.954718470573 saving model
12 0.647031128407 0.99386960268
13 0.681374573708 0.98127913475
14 0.623290348053 0.964637517929
15 0.589800620079 0.967284500599
16 0.556796431541 0.933974266052 saving model
17 0.551400315762 0.962528407574
18 0.536291587353 0.946404874325
19 0.51416285634 0.936203420162
20 0.479001760483 0.940410852432
21 0.465113180876 0.936890244484
22 0.471191340685 0.972491681576
23 0.463476604223 0.953559756279
24 0.467144417763 0.952956020832
25 0.451074689627 0.976994335651
26 0.455546694994 0.954736530781
27 0.437255680561 0.982001781464
28 0.448990750313 0.961187124252
29 0.438134306669 0.999499857426
30 0.435841161013 0.979375123978
31 0.426242595911 0.970576286316
32 0.403844684362 0.956224024296
33 0.388743406534 0.956371068954
34 0.387486368418 0.971375763416
35 0.403856402636 0.972701847553
36 0.40059247613 1.00135791302
37 0.393271666765 0.976875901222
38 0.377068340778 0.963258981705
39 0.393695521355 0.963154911995
40 0.378286933899 0.961943626404
41 0.380753326416 0.98364585638
42 0.377602475882 0.954504847527
43 0.360485386848 0.9435364604
44 0.366852581501 0.960451960564
45 0.373541909456 0.946980893612
46 0.36326277256 0.964175343513
47 0.371462154388 0.95689278841
48 0.371973097324 0.95830821991
49 0.367699563503 0.964433550835
model number is: 44737
mae:  1.03865130385
corr:  0.593612530408
mult_acc:  0.30904
mult f_score:  0.32482
Confusion Matrix :
[[282  97]
 [ 98 209]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74211   0.74406   0.74308       379
        True    0.68301   0.68078   0.68189       307

   micro avg    0.71574   0.71574   0.71574       686
   macro avg    0.71256   0.71242   0.71249       686
weighted avg    0.71566   0.71574   0.71570       686

Accuracy  0.715743440233
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 400, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [128, 48, 8], 'momentum': 0.3}, {'shapes': 64, 'drop': 0.5}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.7}]
0 1.30658764243 1.37405061722 saving model
1 1.21415448189 1.14016032219 saving model
2 1.11321054101 1.11925733089 saving model
3 1.04908061624 1.08934259415 saving model
4 0.969598397613 1.08131051064 saving model
5 0.95956273973 1.02375400066 saving model
6 0.922056311369 0.994589805603 saving model
7 0.859399810433 0.977113604546 saving model
8 0.8542789042 1.00279307365
9 0.811209863424 0.947774767876 saving model
10 0.746814978123 0.942824184895 saving model
11 0.708519667387 0.959186375141
12 0.704642617702 0.929367661476 saving model
13 0.658696597815 0.933726668358
14 0.647338110209 0.911721289158 saving model
15 0.619685342908 0.958611369133
16 0.597336575389 0.978189766407
17 0.584866937995 0.943074584007
18 0.58734024018 0.962049722672
19 0.565734173357 0.960283279419
20 0.531497739255 0.944617450237
21 0.551003521681 0.949917316437
22 0.53434818238 0.976594209671
23 0.512785772979 0.923226594925
24 0.516487541795 0.911952137947
25 0.516863316298 0.939331293106
26 0.515928757191 0.954262137413
27 0.48510235548 0.940678119659
28 0.488751962781 0.946920275688
29 0.501631173491 0.939218580723
30 0.502972331643 0.95263260603
31 0.513284635544 0.994671285152
32 0.511203294992 0.970399439335
33 0.501053266227 1.00076961517
34 0.487688803673 0.985043466091
35 0.487659190595 0.969116687775
36 0.472450453043 0.972626507282
37 0.50853150934 0.969797849655
38 0.477370356023 0.948191702366
39 0.476779088378 0.92996442318
40 0.493173654377 0.980708122253
41 0.500983442366 0.998766243458
42 0.482872010767 0.999361455441
43 0.487300522625 0.947247505188
44 0.483272056282 0.959951758385
45 0.472361952066 0.934696912766
46 0.463995073736 0.952563583851
47 0.474581940472 0.97353631258
48 0.473248240352 0.953953921795
49 0.465556906164 0.917295634747
model number is: 96348
mae:  1.01269155501
corr:  0.633293954264
mult_acc:  0.29883
mult f_score:  0.3171
Confusion Matrix :
[[295  84]
 [ 87 220]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77225   0.77836   0.77530       379
        True    0.72368   0.71661   0.72013       307

   micro avg    0.75073   0.75073   0.75073       686
   macro avg    0.74797   0.74749   0.74771       686
weighted avg    0.75052   0.75073   0.75061       686

Accuracy  0.750728862974
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 64, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [256, 32, 32], 'momentum': 0.9}, {'shapes': 256, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}]
0 1.28322220147 1.26581454277 saving model
1 1.10698897839 1.19351744652 saving model
2 0.916640350223 1.01486468315 saving model
3 0.84787876606 1.04815602303
4 0.779463046789 0.97824960947 saving model
5 0.708721271157 1.00531947613
6 0.685391932726 0.980836868286
7 0.593967346847 0.994485974312
8 0.60065869838 0.985724031925
9 0.562232784927 0.968099296093 saving model
10 0.531250283122 0.936191856861 saving model
11 0.523360091448 0.989141464233
12 0.497779916227 0.921399116516 saving model
13 0.479317446053 0.929782211781
14 0.465139771998 0.921838104725
15 0.438666820526 0.953021168709
16 0.448208630085 0.957219839096
17 0.426815748215 0.935575008392
18 0.447017553449 0.934413850307
19 0.434065145254 0.933825314045
20 0.430661021173 0.950462400913
21 0.409652785957 0.945383667946
22 0.42133885622 0.957035064697
23 0.427110622823 0.992602407932
24 0.436889705062 0.9917999506
25 0.457496535778 1.00904417038
26 0.44770322144 0.954340517521
27 0.400384350121 0.938019514084
28 0.388134174049 0.956036567688
29 0.383449555933 0.916239202023 saving model
30 0.376135055721 0.9572250247
31 0.389132359624 0.94290548563
32 0.372100865841 0.940742075443
33 0.380409170687 0.943293571472
34 0.362455883622 0.903725385666 saving model
35 0.353931696713 0.913357913494
36 0.356669060886 0.907076776028
37 0.3490642488 0.906576156616
38 0.376521775126 0.941772639751
39 0.349051038921 0.928983569145
40 0.368361134827 0.971467971802
41 0.385204988718 0.977059841156
42 0.389580541849 0.934854567051
43 0.383449096978 0.930177390575
44 0.379129071534 0.957927465439
45 0.413451881707 0.9338337183
46 0.368752227724 0.931705236435
47 0.376062223315 0.957330048084
48 0.395870374143 0.976456046104
49 0.39019189328 0.988067150116
model number is: 31612
mae:  1.02041458622
corr:  0.589428425601
mult_acc:  0.32507
mult f_score:  0.3369
Confusion Matrix :
[[287  92]
 [ 90 217]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76127   0.75726   0.75926       379
        True    0.70227   0.70684   0.70455       307

   micro avg    0.73469   0.73469   0.73469       686
   macro avg    0.73177   0.73205   0.73190       686
weighted avg    0.73487   0.73469   0.73477       686

Accuracy  0.734693877551
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [32, 64, 32], 'momentum': 0.8}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.0}, {'shapes': 256, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}]
0 1.32695661187 1.31806433201 saving model
1 1.01454770565 1.04719376564 saving model
2 0.777216017246 1.00225806236 saving model
3 0.716612237692 1.07235908508
4 0.646521243453 1.02742660046
5 0.580368839204 1.02056217194
6 0.581479091942 1.00821554661
7 0.507649724185 0.978510439396 saving model
8 0.439626671374 0.95730137825 saving model
9 0.405579440296 0.998987078667
10 0.396057005227 0.976152598858
11 0.374896834791 0.949230611324 saving model
12 0.366499446332 0.974168181419
13 0.356083780527 1.06033885479
14 0.427112627029 1.02253592014
15 0.392539539933 1.02480959892
16 0.504281771183 1.07860088348
17 0.52992425859 0.999740958214
18 0.493406514823 1.04574131966
19 0.402735221386 1.04345405102
20 0.357256543636 1.07189631462
21 0.374619160593 0.988676309586
22 0.333956799656 0.996241092682
23 0.275641150028 0.987286984921
24 0.29210434407 0.973635852337
25 0.315407449007 1.00558996201
26 0.37354581207 0.95068192482
27 0.378892274946 1.05108141899
28 0.338151662797 0.991633117199
29 0.292822960019 0.985915243626
30 0.245494443178 0.983075261116
31 0.251342402399 0.974969029427
32 0.263059403002 0.986635386944
33 0.286154443771 0.962716698647
34 0.291442295909 0.999051809311
35 0.256955195218 0.987750649452
36 0.233054381609 0.96603500843
37 0.244634595513 0.974829912186
38 0.269668905437 1.01034855843
39 0.322504267842 0.980176985264
40 0.277998015285 0.992953658104
41 0.256838877499 0.987886965275
42 0.212524842471 0.971506178379
43 0.202626849711 0.982047379017
44 0.221158693731 0.995148479939
45 0.271125604212 0.986913740635
46 0.265596821904 1.00787079334
47 0.216863279045 0.999730110168
48 0.219205269217 0.990109503269
49 0.200368711352 0.996291875839
model number is: 14094
mae:  1.06294157305
corr:  0.604948855497
mult_acc:  0.28134
mult f_score:  0.31315
Confusion Matrix :
[[272 107]
 [ 73 234]]
Classification Report :
              precision    recall  f1-score   support

       False    0.78841   0.71768   0.75138       379
        True    0.68622   0.76221   0.72222       307

   micro avg    0.73761   0.73761   0.73761       686
   macro avg    0.73731   0.73995   0.73680       686
weighted avg    0.74267   0.73761   0.73833       686

Accuracy  0.737609329446
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 300, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [88, 16, 8], 'momentum': 0.1}, {'shapes': 256, 'drop': 0.2}, {'shapes': 32, 'drop': 0.5}, {'shapes': 32, 'drop': 0.2}, {'shapes': 256, 'drop': 0.0}, {'shapes': 32, 'drop': 0.7}]
0 1.34795508385 1.41518986225 saving model
1 1.2832420826 1.2795470953 saving model
2 1.1965316534 1.23372006416 saving model
3 1.13191506863 1.14810085297 saving model
4 1.00189878941 1.06502401829 saving model
5 1.00830110312 1.04728388786 saving model
6 0.988883316517 1.08416342735
7 0.896676778793 1.00682449341 saving model
8 0.819018447399 0.997086584568 saving model
9 0.824367308617 1.01291584969
10 0.762903928757 0.99188709259 saving model
11 0.733607327938 0.989198446274 saving model
12 0.717289555073 0.978641808033 saving model
13 0.690566027164 0.962587177753 saving model
14 0.633864593506 0.940463423729 saving model
15 0.617408168316 0.96740758419
16 0.621500492096 0.952984452248
17 0.609334659576 0.960463762283
18 0.571320354939 0.966140687466
19 0.578114080429 0.997803509235
20 0.573979699612 0.944168031216
21 0.554185187817 0.958796858788
22 0.578515338898 0.928991854191 saving model
23 0.549008333683 0.934827804565
24 0.554847407341 0.944842755795
25 0.536692869663 0.94259095192
26 0.538640487194 0.936560630798
27 0.530953037739 0.940934181213
28 0.534735369682 0.941594660282
29 0.52619689703 0.936965346336
30 0.518630361557 0.92302852869 saving model
31 0.517355459929 0.942997515202
32 0.514897954464 0.934574306011
33 0.48852956295 0.956656575203
34 0.486731481552 0.957043528557
35 0.482110160589 0.961095035076
36 0.485545253754 0.937340974808
37 0.478005552292 0.937905848026
38 0.504755842686 0.955513119698
39 0.497631442547 0.927485823631
40 0.476604628563 0.974474489689
41 0.483626753092 0.966151595116
42 0.489367127419 0.944451093674
43 0.472766274214 0.928620994091
44 0.482744288445 0.953210830688
45 0.462612140179 0.92636013031
46 0.472545307875 0.941251575947
47 0.476302701235 0.934404075146
48 0.454476553202 0.938715934753
49 0.462275278568 0.933207154274
model number is: 28503
mae:  1.11362835352
corr:  0.578982457141
mult_acc:  0.28426
mult f_score:  0.32125
Confusion Matrix :
[[255 124]
 [ 74 233]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77508   0.67282   0.72034       379
        True    0.65266   0.75896   0.70181       307

   micro avg    0.71137   0.71137   0.71137       686
   macro avg    0.71387   0.71589   0.71107       686
weighted avg    0.72029   0.71137   0.71205       686

Accuracy  0.711370262391
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 64, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [256, 48, 64], 'momentum': 0.3}, {'shapes': 256, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.2}, {'shapes': 128, 'drop': 0.5}]
0 1.20141717643 1.16615021229 saving model
1 0.960189795494 1.15046370029 saving model
2 0.86595993042 1.13377392292 saving model
3 0.875112321228 1.04402422905 saving model
4 0.763848917186 1.01008474827 saving model
5 0.741606102884 0.990910232067 saving model
6 0.708009317517 1.02347373962
7 0.644757026434 1.02697622776
8 0.603978513926 0.997979223728
9 0.55447171554 1.0156815052
10 0.555413286388 1.04841065407
11 0.500497877598 1.06388318539
12 0.493389487267 1.07070100307
13 0.51081879437 1.13017082214
14 0.505622128397 1.11253666878
15 0.507228992134 1.03648793697
16 0.474559037387 1.05782103539
17 0.431582526863 1.04956436157
18 0.415109009296 1.06962299347
19 0.371180840954 1.03826224804
20 0.356310910359 1.0289388895
21 0.336525509506 1.06569719315
22 0.328819835931 1.03299295902
23 0.326679421961 1.05272042751
24 0.331555337459 1.02759671211
25 0.323528117687 1.01383697987
26 0.321923346817 0.989059507847 saving model
27 0.310054745153 1.01879549026
28 0.303780236095 1.01037347317
29 0.305317244306 0.998993456364
30 0.315828646719 1.02039384842
31 0.300578293577 1.01379239559
32 0.292478631809 1.03181278706
33 0.292236616462 1.02002561092
34 0.287086816877 1.09952044487
35 0.295521468669 1.0467748642
36 0.303132844344 1.06269514561
37 0.294799338281 1.01810228825
38 0.299106366187 1.06198441982
39 0.302515193075 1.0692564249
40 0.29732828401 1.05390536785
41 0.292385544628 1.00373923779
42 0.311062029377 1.00166249275
43 0.286986760795 1.01858365536
44 0.297956129536 1.01778364182
45 0.301079333946 1.02520370483
46 0.298655949906 1.05091834068
47 0.281914314628 1.03418195248
48 0.259600368515 1.01140832901
49 0.249431739375 1.0039832592
model number is: 99767
mae:  1.06307481403
corr:  0.59545087446
mult_acc:  0.30758
mult f_score:  0.31835
Confusion Matrix :
[[282  97]
 [ 85 222]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76839   0.74406   0.75603       379
        True    0.69592   0.72313   0.70927       307

   micro avg    0.73469   0.73469   0.73469       686
   macro avg    0.73216   0.73360   0.73265       686
weighted avg    0.73596   0.73469   0.73510       686

Accuracy  0.734693877551
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 256, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [88, 64, 80], 'momentum': 0.5}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.2}]
0 1.29242463112 1.31384778023 saving model
1 1.02424769402 1.15567159653 saving model
2 0.95161036253 1.14173913002 saving model
3 0.873622512817 1.04674065113 saving model
4 0.817515790462 1.04932749271
5 0.759800684452 1.03982150555 saving model
6 0.752305436134 1.01802587509 saving model
7 0.689268481731 1.00345826149 saving model
8 0.619953358173 0.978459715843 saving model
9 0.54339517355 0.962391674519 saving model
10 0.532496869564 0.972209572792
11 0.493047320843 0.993989109993
12 0.474631500244 1.03551232815
13 0.476653271914 0.999926149845
14 0.45959841013 0.958845019341 saving model
15 0.456643468142 0.97492390871
16 0.419103187323 0.967845380306
17 0.368528801203 0.961558759212
18 0.335650736094 0.960495054722
19 0.311471259594 0.955793082714 saving model
20 0.304778468609 0.950422942638 saving model
21 0.269916310906 0.967771410942
22 0.273383301497 0.952700138092
23 0.305150043964 0.977410197258
24 0.272447949648 0.967796683311
25 0.257804578543 0.972249925137
26 0.235266962647 0.96742862463
27 0.229250520468 0.963085830212
28 0.222807136178 0.996868789196
29 0.227444279194 0.992269873619
30 0.246865075827 0.994007229805
31 0.246160155535 0.984825432301
32 0.230582275987 0.986356019974
33 0.221758070588 0.963864147663
34 0.204822343588 0.981529831886
35 0.212870946527 0.970601856709
36 0.196754297614 0.953664302826
37 0.185188859701 0.970014929771
38 0.193754717708 0.973142921925
39 0.183857309818 0.958882451057
40 0.189202862978 0.996927440166
41 0.189252406359 0.960111796856
42 0.167077821493 0.953066110611
43 0.163861998916 0.96589666605
44 0.157103893161 0.974720358849
45 0.154908171296 0.971567988396
46 0.16133005321 0.959715485573
47 0.160920488834 0.972402513027
48 0.187873384356 0.974332630634
49 0.196059557796 0.999612212181
model number is: 14142
mae:  1.08945450134
corr:  0.565716550496
mult_acc:  0.31487
mult f_score:  0.32826
Confusion Matrix :
[[266 113]
 [ 92 215]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74302   0.70185   0.72185       379
        True    0.65549   0.70033   0.67717       307

   micro avg    0.70117   0.70117   0.70117       686
   macro avg    0.69925   0.70109   0.69951       686
weighted avg    0.70385   0.70117   0.70185       686

Accuracy  0.701166180758
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 400, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [128, 80, 16], 'momentum': 0.6}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}]
0 1.25356553197 1.17704761028 saving model
1 1.11688471437 1.13864469528 saving model
2 0.981022015214 1.00873112679 saving model
3 0.901611343026 1.02794539928
4 0.847874334455 1.02293539047
5 0.820272168517 1.03731691837
6 0.79046381712 0.993280947208 saving model
7 0.685178768635 0.97284257412 saving model
8 0.665899427235 0.976558625698
9 0.634472981095 0.986961245537
10 0.648563176394 0.95609164238 saving model
11 0.571480304003 0.925311625004 saving model
12 0.575909504294 0.99209856987
13 0.556768077612 0.991457402706
14 0.535282666981 0.92363011837 saving model
15 0.508598960936 0.947308659554
16 0.508106435835 0.974671065807
17 0.520513406396 0.944639384747
18 0.4932781443 0.920425653458 saving model
19 0.489998728037 0.966004550457
20 0.481014662981 0.926607251167
21 0.492427676916 0.949447989464
22 0.485404714942 0.894647181034 saving model
23 0.484490412474 0.917263805866
24 0.463526567817 0.934546947479
25 0.456209221482 0.912331342697
26 0.428844514489 0.916350245476
27 0.438373893499 0.922204434872
28 0.446617166698 0.952936410904
29 0.444494435191 0.982387602329
30 0.458275429904 0.997855424881
31 0.423541511595 0.976894557476
32 0.45205783993 0.960110187531
33 0.46064723134 0.914302647114
34 0.414406344295 0.94103884697
35 0.446734890342 0.916579723358
36 0.38871833086 0.919366657734
37 0.413225701451 0.925580263138
38 0.428752654791 0.963068008423
39 0.468304806948 1.00253558159
40 0.460079483688 0.996397912502
41 0.488309621811 0.930009186268
42 0.436041295528 0.896977007389
43 0.44562677592 0.93362814188
44 0.413805747032 0.980317056179
45 0.398537613451 0.967344999313
46 0.410736246407 0.959261536598
47 0.405132779479 0.954939305782
48 0.403774668276 0.97906935215
49 0.42739174068 0.962100803852
model number is: 68585
mae:  1.05914292104
corr:  0.605701326581
mult_acc:  0.33965
mult f_score:  0.34299
Confusion Matrix :
[[297  82]
 [ 92 215]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76350   0.78364   0.77344       379
        True    0.72391   0.70033   0.71192       307

   micro avg    0.74636   0.74636   0.74636       686
   macro avg    0.74370   0.74198   0.74268       686
weighted avg    0.74578   0.74636   0.74591       686

Accuracy  0.746355685131
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 300, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [64, 64, 32], 'momentum': 0.6}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.0}, {'shapes': 256, 'drop': 0.0}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}]
0 1.311740309 1.39455521107 saving model
1 1.22502375841 1.20265316963 saving model
2 1.10752424598 1.11318528652 saving model
3 1.01151146889 1.059907794 saving model
4 0.967289233208 1.0177782774 saving model
5 0.898021659255 1.03333342075
6 0.899990063906 0.993942737579 saving model
7 0.858488747478 0.993839561939 saving model
8 0.830377668142 0.991486907005 saving model
9 0.795779928565 1.0195043087
10 0.780016461015 0.988188147545 saving model
11 0.80069707036 1.04709899426
12 0.737963062525 0.974891245365 saving model
13 0.705358028412 0.97802323103
14 0.667281079292 1.00625193119
15 0.644000664353 1.01642596722
16 0.652610725164 0.990487337112
17 0.603902244568 1.00633192062
18 0.586895954609 0.972562372684 saving model
19 0.59676514864 0.987452745438
20 0.586650374532 0.976602971554
21 0.570750375092 1.01824390888
22 0.583848977089 0.94706428051 saving model
23 0.539140301943 0.984006643295
24 0.56406852603 0.977588891983
25 0.540944387019 0.995044887066
26 0.563216911256 0.969205498695
27 0.552189555764 0.981966376305
28 0.541637769341 0.99569272995
29 0.508451865613 1.00408315659
30 0.500207063556 1.02015948296
31 0.519976271689 0.987876534462
32 0.521301086247 0.993283748627
33 0.536776120961 1.03364193439
34 0.507088011503 0.972649514675
35 0.548567460477 1.01900243759
36 0.517358964682 1.01436591148
37 0.533714526892 0.989807248116
38 0.505657397211 0.991200149059
39 0.544422118366 0.95790117979
40 0.560211056471 0.996453106403
41 0.558702358603 1.04472792149
42 0.561972782016 1.02793490887
43 0.556009602547 0.963087439537
44 0.546522146463 0.972680985928
45 0.505481290817 0.969071567059
46 0.481187026203 0.9698959589
47 0.486095499992 0.971405982971
48 0.44787991643 0.950515568256
49 0.465450066328 0.946238040924 saving model
model number is: 19460
mae:  1.03838032154
corr:  0.601015973566
mult_acc:  0.29009
mult f_score:  0.31165
Confusion Matrix :
[[283  96]
 [ 84 223]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77112   0.74670   0.75871       379
        True    0.69906   0.72638   0.71246       307

   micro avg    0.73761   0.73761   0.73761       686
   macro avg    0.73509   0.73654   0.73559       686
weighted avg    0.73887   0.73761   0.73801       686

Accuracy  0.737609329446
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 300, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [64, 80, 16], 'momentum': 0.6}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 128, 'drop': 0.2}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.5}]
0 1.31347541809 1.32452869415 saving model
1 1.15388395786 1.3185377121 saving model
2 1.03523170948 1.1591296196 saving model
3 0.968151307106 1.11035430431 saving model
4 0.883036601543 1.05908358097 saving model
5 0.787955999374 1.01143193245 saving model
6 0.735470068455 1.02226519585
7 0.684249484539 0.995625376701 saving model
8 0.631958901882 0.998058319092
9 0.594082689285 1.01359534264
10 0.588838374615 0.951396405697 saving model
11 0.573315834999 1.05522918701
12 0.6165102005 0.978523850441
13 0.476824265718 0.949625134468 saving model
14 0.446787273884 0.939970850945 saving model
15 0.432427018881 0.931319653988 saving model
16 0.411888635159 0.953872203827
17 0.385996413231 0.936218142509
18 0.379930782318 0.985077261925
19 0.367423123121 0.99518096447
20 0.364246243238 0.975171327591
21 0.350737684965 0.990044116974
22 0.366922014952 0.95745497942
23 0.334845107794 0.954685032368
24 0.337338161469 0.951662421227
25 0.316257399321 0.962046921253
26 0.318097448349 0.94963490963
27 0.309199899435 0.975193798542
28 0.304590034485 0.974677443504
29 0.29498269558 0.956129848957
30 0.290141278505 0.957807421684
31 0.288244253397 0.963337182999
32 0.270688283443 0.972475528717
33 0.27600056529 0.955094754696
34 0.272791564465 0.960436344147
35 0.266732430458 0.966770231724
36 0.269148266315 0.955089986324
37 0.26765127182 0.966883897781
38 0.269044455886 0.968308627605
39 0.251832592487 0.965603172779
40 0.260579568148 0.956363141537
41 0.257711040974 0.964921832085
42 0.236523580551 0.961891531944
43 0.23406484127 0.950044572353
44 0.238876754045 0.951716244221
45 0.247333401442 0.960648357868
46 0.24300044775 0.970295190811
47 0.235896638036 0.960489213467
48 0.227258005738 0.952719092369
49 0.23743185997 0.954611003399
model number is: 32438
mae:  1.07497422664
corr:  0.595074685371
mult_acc:  0.3207
mult f_score:  0.33598
Confusion Matrix :
[[255 124]
 [ 74 233]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77508   0.67282   0.72034       379
        True    0.65266   0.75896   0.70181       307

   micro avg    0.71137   0.71137   0.71137       686
   macro avg    0.71387   0.71589   0.71107       686
weighted avg    0.72029   0.71137   0.71205       686

Accuracy  0.711370262391
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 300, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [64, 32, 80], 'momentum': 0.6}, {'shapes': 128, 'drop': 0.2}, {'shapes': 256, 'drop': 0.5}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}, {'shapes': 64, 'drop': 0.5}]
0 1.25483795851 1.15264260769 saving model
1 1.01143911928 1.04013466835 saving model
2 0.870773085952 0.979028224945 saving model
3 0.766120648384 0.934638023376 saving model
4 0.717907083035 0.975358188152
5 0.656056375057 0.967033803463
6 0.609195424616 0.944166004658
7 0.584632903337 0.904579460621 saving model
8 0.581658237427 0.922834038734
9 0.553427793086 0.966561973095
10 0.533728281409 0.959744691849
11 0.517279458046 0.921595573425
12 0.532642965764 0.924265086651
13 0.489007459581 0.987144589424
14 0.507257198542 0.972486555576
15 0.504526930302 0.974948227406
16 0.502969502658 0.923819839954
17 0.459157934785 0.961499869823
18 0.453950557858 0.92276352644
19 0.453237169236 0.898537278175 saving model
20 0.467324271053 0.906507253647
21 0.468231712282 0.967737972736
22 0.432634603232 0.918398976326
23 0.398933672905 0.911845624447
24 0.432430227101 0.916971683502
25 0.413094588369 0.925988435745
26 0.407754934579 0.93979883194
27 0.409217359126 0.893938004971 saving model
28 0.409869862348 0.950919985771
29 0.447671375424 0.941697537899
30 0.418777430803 0.974820137024
31 0.425575464219 1.01137900352
32 0.45012424551 0.998712658882
33 0.430381511152 0.97929930687
34 0.456088347733 0.969153523445
35 0.435911720246 1.04208397865
36 0.450456880778 0.968538045883
37 0.454590150714 0.923143744469
38 0.398810911179 0.954483628273
39 0.415118331462 0.983160376549
40 0.401407324523 0.97403472662
41 0.38718059957 0.956488966942
42 0.418265889958 0.929412961006
43 0.413344165683 0.894684553146
44 0.395373100042 0.89277613163 saving model
45 0.366744862497 0.915212333202
46 0.393083842844 0.945785939693
47 0.379409930855 0.949112653732
48 0.374317321181 0.963840663433
49 0.370905222744 0.905487596989
model number is: 27839
mae:  0.999136951918
corr:  0.618447774287
mult_acc:  0.30904
mult f_score:  0.31678
Confusion Matrix :
[[298  81]
 [101 206]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74687   0.78628   0.76607       379
        True    0.71777   0.67101   0.69360       307

   micro avg    0.73469   0.73469   0.73469       686
   macro avg    0.73232   0.72864   0.72983       686
weighted avg    0.73385   0.73469   0.73364       686

Accuracy  0.734693877551
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 300, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [32, 32, 32], 'momentum': 0.6}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.5}, {'shapes': 32, 'drop': 0.0}]
0 1.30333967209 1.30353212357 saving model
1 1.07393493652 1.20474398136 saving model
2 0.972889190912 1.09250557423 saving model
3 0.822208601236 1.02910447121 saving model
4 0.719597291946 1.00644719601 saving model
5 0.646539819241 0.982116878033 saving model
6 0.585826188326 0.983414173126
7 0.541553413868 1.01065766811
8 0.513333556056 0.97142136097 saving model
9 0.459595310688 0.953660607338 saving model
10 0.388807108998 0.981558442116
11 0.36904771626 0.966746509075
12 0.403727337718 0.965815067291
13 0.344775259495 0.98768222332
14 0.323333412409 0.99813991785
15 0.350884637237 0.989970803261
16 0.341069339216 1.00136160851
17 0.364114037156 0.981641292572
18 0.342251244187 1.00736188889
19 0.371644553542 1.03506684303
20 0.415512898564 1.11680459976
21 0.525544956326 0.993048012257
22 0.411882957816 0.981711983681
23 0.282774426043 0.972159147263
24 0.226395758986 0.965545594692
25 0.207973103225 0.981034696102
26 0.223466195166 1.04540348053
27 0.36932439208 0.993049502373
28 0.410237878561 1.01082897186
29 0.311287888885 0.967355310917
30 0.203721040487 0.976551830769
31 0.210087436438 0.980813324451
32 0.195683823526 0.977131843567
33 0.213057617843 1.00258076191
34 0.244138588011 0.978933632374
35 0.218394936621 0.994112491608
36 0.186013717949 1.01775074005
37 0.251481956244 0.985358774662
38 0.260500063002 1.0003105402
39 0.245384846628 0.976272106171
40 0.193505124748 1.00864708424
41 0.217614707351 0.990223109722
42 0.223073992133 0.987745642662
43 0.199563187361 0.971107721329
44 0.175919343531 0.980327486992
45 0.158585073054 0.990729987621
46 0.190865269303 0.980110526085
47 0.220923896134 0.97776055336
48 0.192555144429 0.976166903973
49 0.165744784474 0.993804216385
model number is: 74734
mae:  1.00711612436
corr:  0.635551664222
mult_acc:  0.31341
mult f_score:  0.32953
Confusion Matrix :
[[283  96]
 [ 77 230]]
Classification Report :
              precision    recall  f1-score   support

       False    0.78611   0.74670   0.76590       379
        True    0.70552   0.74919   0.72670       307

   micro avg    0.74781   0.74781   0.74781       686
   macro avg    0.74582   0.74794   0.74630       686
weighted avg    0.75005   0.74781   0.74836       686

Accuracy  0.747813411079
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 256, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [32, 64, 32], 'momentum': 0.6}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.7}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}]
0 1.31124044061 1.36872506142 saving model
1 1.1356145367 1.10459041595 saving model
2 0.960366567969 1.09141969681 saving model
3 0.884327557683 1.08464694023 saving model
4 0.849484418333 1.05974590778 saving model
5 0.853949208558 1.11423933506
6 0.808426095545 1.059871912
7 0.73311881721 1.03552901745 saving model
8 0.666477394104 1.01632833481 saving model
9 0.637594696879 1.02088487148
10 0.606823762506 1.02778613567
11 0.591617804766 1.05191421509
12 0.546859098226 1.11433446407
13 0.537136752158 1.07204627991
14 0.524277551472 1.10852074623
15 0.489847830683 1.11713278294
16 0.479754146934 1.11340677738
17 0.491991914809 1.06925618649
18 0.55876821205 1.01952147484
19 0.531038732827 1.00616776943 saving model
20 0.452347069234 0.999800622463 saving model
21 0.427153584734 0.993544518948 saving model
22 0.386000142246 1.01449108124
23 0.376318733394 0.993486404419 saving model
24 0.356834284216 0.999325931072
25 0.348263302073 0.999845385551
26 0.329293114319 1.01548409462
27 0.336860654876 1.01953113079
28 0.336232045665 1.01907300949
29 0.350013126433 1.02202582359
30 0.348357532173 1.06750118732
31 0.332340766117 1.09380948544
32 0.396923364699 1.0292211771
33 0.373260560632 1.01145339012
34 0.334283149615 1.00692331791
35 0.298723068088 1.01833450794
36 0.286572858319 1.01482212543
37 0.287979099527 1.02712714672
38 0.278220086917 1.03329098225
39 0.265948874503 1.03925609589
40 0.271726136282 1.06108236313
41 0.273362901062 1.02971577644
42 0.277138250321 1.01406860352
43 0.270187622681 1.0238904953
44 0.288841104507 0.999818086624
45 0.27546566911 1.01164853573
46 0.292831058428 1.02892351151
47 0.292717662454 1.01670789719
48 0.275250923634 1.04488015175
49 0.282005328685 1.04739773273
model number is: 76470
mae:  1.04453031998
corr:  0.5858819372
mult_acc:  0.31341
mult f_score:  0.32675
Confusion Matrix :
[[277 102]
 [ 91 216]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75272   0.73087   0.74163       379
        True    0.67925   0.70358   0.69120       307

   micro avg    0.71866   0.71866   0.71866       686
   macro avg    0.71598   0.71723   0.71642       686
weighted avg    0.71984   0.71866   0.71906       686

Accuracy  0.718658892128
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 64, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [32, 64, 32], 'momentum': 0.9}, {'shapes': 32, 'drop': 0.7}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}]
0 1.31996469498 1.39757394791 saving model
1 1.28424901962 1.35611748695 saving model
2 1.2075674057 1.25167620182 saving model
3 1.03542156219 1.12623941898 saving model
4 0.942242181301 1.08735990524 saving model
5 0.889566087723 1.09046280384
6 0.853221464157 1.06102645397 saving model
7 0.822556817532 1.03593945503 saving model
8 0.783863413334 1.04956328869
9 0.748097383976 1.03928661346
10 0.721799170971 1.02547359467 saving model
11 0.704264092445 1.03523242474
12 0.692531371117 1.01951551437 saving model
13 0.671504437923 1.05160963535
14 0.645203709602 1.0359224081
15 0.634560918808 1.02352571487
16 0.611781680584 1.037727952
17 0.613586878777 1.02879703045
18 0.59499130249 1.05643749237
19 0.572441983223 1.05122256279
20 0.557642650604 1.01883089542 saving model
21 0.520664262772 1.01568901539 saving model
22 0.522408676147 1.02398192883
23 0.538014185429 1.01134431362 saving model
24 0.504439496994 1.05195713043
25 0.515297889709 1.03570139408
26 0.497315847874 1.01364040375
27 0.485333132744 1.00068628788 saving model
28 0.472386348248 1.04214572906
29 0.442130500078 1.0144122839
30 0.417990028858 1.00285661221
31 0.41754680872 1.00425958633
32 0.423365372419 1.00619888306
33 0.403630912304 1.03123915195
34 0.392279469967 1.03622972965
35 0.391420006752 1.01314580441
36 0.38724296689 1.02700042725
37 0.39973474741 1.00760674477
38 0.357523864508 1.03998970985
39 0.344941997528 1.01359319687
40 0.347051304579 1.0215408802
41 0.345280814171 0.998641490936 saving model
42 0.322645241022 1.0120112896
43 0.31155179739 1.04070806503
44 0.305353844166 1.04041779041
45 0.319886475801 1.03313422203
46 0.321475118399 1.03345215321
47 0.340308737755 0.993254542351 saving model
48 0.315894067287 1.01708579063
49 0.291064167023 1.03113508224
model number is: 3090
mae:  1.07161558825
corr:  0.588587952429
mult_acc:  0.29738
mult f_score:  0.30646
Confusion Matrix :
[[260 119]
 [ 79 228]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76696   0.68602   0.72423       379
        True    0.65706   0.74267   0.69725       307

   micro avg    0.71137   0.71137   0.71137       686
   macro avg    0.71201   0.71434   0.71074       686
weighted avg    0.71778   0.71137   0.71216       686

Accuracy  0.711370262391
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 128, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [156, 8, 80], 'momentum': 0.6}, {'shapes': 32, 'drop': 0.2}, {'shapes': 64, 'drop': 0.0}, {'shapes': 64, 'drop': 0.0}, {'shapes': 256, 'drop': 0.2}, {'shapes': 256, 'drop': 0.5}]
0 1.19859517813 1.13087999821 saving model
1 0.927031388879 1.04876470566 saving model
2 0.822482207417 1.04147815704 saving model
3 0.7821072191 1.03881180286 saving model
4 0.702681905031 1.00690901279 saving model
5 0.663956987858 1.04330635071
6 0.643293553591 1.00785207748
7 0.610165448487 1.01585066319
8 0.531670893729 1.01403272152
9 0.48181617856 1.02509450912
10 0.515361078084 1.1084985733
11 0.566269612312 1.04409766197
12 0.510732130706 1.08693194389
13 0.47325771302 1.02626562119
14 0.397999279201 1.02473318577
15 0.397634634376 1.02722847462
16 0.380636148155 1.02261435986
17 0.387644457817 1.01286125183
18 0.348963229358 1.02223229408
19 0.381604889035 1.06442129612
20 0.341253070533 0.994558870792 saving model
21 0.307307191193 1.01485335827
22 0.296321363002 1.04863059521
23 0.286920171976 1.06041800976
24 0.285234384239 1.02086794376
25 0.300028946996 1.0100966692
26 0.300946520269 1.03380084038
27 0.307857185602 1.03982102871
28 0.315211467445 1.05104398727
29 0.331535999477 1.10114383698
30 0.355614542961 1.01937425137
31 0.398667533696 1.02706193924
32 0.438106662035 1.01619648933
33 0.434248916805 1.07497155666
34 0.379643460363 1.0644119978
35 0.342621808499 1.05303931236
36 0.339861413836 1.04569971561
37 0.392560496926 1.04143929482
38 0.394568775594 1.06153094769
39 0.36777150631 0.999815940857
40 0.291947298497 0.995033085346
41 0.262971205264 0.999442577362
42 0.247471210361 1.02387905121
43 0.252294693142 1.02277266979
44 0.244842415303 0.985381126404 saving model
45 0.297240373492 1.02760100365
46 0.307631625235 1.00461935997
47 0.299116842449 1.05533123016
48 0.335873990506 1.03572010994
49 0.360690146685 1.01262390614
model number is: 35250
mae:  1.14827025526
corr:  0.562845729981
mult_acc:  0.28571
mult f_score:  0.29963
Confusion Matrix :
[[249 130]
 [ 78 229]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76147   0.65699   0.70538       379
        True    0.63788   0.74593   0.68769       307

   micro avg    0.69679   0.69679   0.69679       686
   macro avg    0.69968   0.70146   0.69654       686
weighted avg    0.70616   0.69679   0.69746       686

Accuracy  0.696793002915
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 256, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [256, 48, 80], 'momentum': 0.1}, {'shapes': 32, 'drop': 0.0}, {'shapes': 128, 'drop': 0.5}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 256, 'drop': 0.7}]
0 1.21467607021 1.24968075752 saving model
1 1.00793177783 1.10953247547 saving model
2 0.896736432612 1.04087030888 saving model
3 0.814570339024 1.01973712444 saving model
4 0.788513445854 0.984496891499 saving model
5 0.703380214423 1.06745803356
6 0.664869220555 1.02294385433
7 0.600575897843 0.967842698097 saving model
8 0.568887537718 1.0007789135
9 0.590385083109 0.994002521038
10 0.546270424128 1.02902543545
11 0.505892115831 0.974683225155
12 0.517698653787 1.03363132477
13 0.475920347869 0.970167279243
14 0.48993890211 0.967723786831 saving model
15 0.497261477262 0.975874960423
16 0.488984426111 0.929068744183 saving model
17 0.414796618372 0.950460493565
18 0.415694753826 0.956685006618
19 0.404286013544 0.963420748711
20 0.407013361156 0.994158685207
21 0.398298975825 1.03822994232
22 0.379026071727 0.949287235737
23 0.348295323178 0.980698347092
24 0.359780330956 0.964488089085
25 0.332998828217 0.954031825066
26 0.305838340148 0.943738341331
27 0.31958913058 0.962687969208
28 0.304881967604 0.948517024517
29 0.322670993581 1.01745927334
30 0.333502069488 1.00354468822
31 0.343049444631 0.94252538681
32 0.336839282513 0.958579421043
33 0.355504280329 0.938146948814
34 0.374681455642 0.952864587307
35 0.314029029757 0.975150287151
36 0.294907956198 0.998261868954
37 0.294396346807 0.994957149029
38 0.301696374267 0.933099329472
39 0.281865499914 0.961027443409
40 0.29906430468 0.955503463745
41 0.264864337817 0.925995528698 saving model
42 0.285205484927 0.927032053471
43 0.290753287449 0.958397567272
44 0.283573245257 0.98728454113
45 0.272496046498 0.980320692062
46 0.294429096207 0.964752972126
47 0.289858627692 0.952356755733
48 0.271569844708 0.936684370041
49 0.26997849606 0.946765482426
model number is: 65001
mae:  1.11415637138
corr:  0.576773018534
mult_acc:  0.29592
mult f_score:  0.307
Confusion Matrix :
[[248 131]
 [ 75 232]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76780   0.65435   0.70655       379
        True    0.63912   0.75570   0.69254       307

   micro avg    0.69971   0.69971   0.69971       686
   macro avg    0.70346   0.70503   0.69955       686
weighted avg    0.71021   0.69971   0.70028       686

Accuracy  0.69970845481
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 128, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [32, 80, 80], 'momentum': 0.1}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.0}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.5}]
0 1.14807848632 1.02548539639 saving model
1 0.935209712386 1.11533749104
2 0.823920598626 1.04648327827
3 0.773270498216 1.01311528683 saving model
4 0.721084021032 1.08054375648
5 0.657661600411 0.96250975132 saving model
6 0.612856173515 0.976039409637
7 0.587650416791 0.990382909775
8 0.536189731956 0.952381432056 saving model
9 0.549645818025 0.989362180233
10 0.494574686885 0.975778520107
11 0.50883847326 1.03065872192
12 0.485721910745 0.994294404984
13 0.455383133143 0.995964467525
14 0.486576385796 1.01308202744
15 0.511320267618 0.992650032043
16 0.464295823872 1.01416540146
17 0.444112849981 0.981666982174
18 0.433461003006 1.04008734226
19 0.415634430945 1.01863980293
20 0.401941163838 0.993564665318
21 0.416247186065 0.969143688679
22 0.402360352874 0.984828650951
23 0.44181555137 0.975632071495
24 0.428287091106 0.981316566467
25 0.391466797888 0.972804188728
26 0.377022325993 1.00845563412
27 0.391031013429 0.988496184349
28 0.389112754911 1.01139485836
29 0.384738896787 0.988769650459
30 0.407462560385 1.0621380806
31 0.389476000145 1.01142120361
32 0.444628476351 0.984784901142
33 0.400701228529 1.01909816265
34 0.41260239929 1.02314805984
35 0.385789948702 1.01869630814
36 0.391587235034 1.01993846893
37 0.362896613032 1.01670694351
38 0.337981449813 0.987591922283
39 0.355772355944 0.999783158302
40 0.348847242445 1.00212621689
41 0.337206282839 1.03798317909
42 0.324038600177 1.02354121208
43 0.32669945918 1.02404761314
44 0.32488780804 1.01514017582
45 0.346630467474 0.989190638065
46 0.314834072813 1.01068925858
47 0.343302389234 1.04190778732
48 0.333509105071 1.03175258636
49 0.358862512931 1.00461030006
model number is: 93972
mae:  1.05119212492
corr:  0.591315582868
mult_acc:  0.27843
mult f_score:  0.29184
Confusion Matrix :
[[282  97]
 [ 84 223]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77049   0.74406   0.75705       379
        True    0.69688   0.72638   0.71132       307

   micro avg    0.73615   0.73615   0.73615       686
   macro avg    0.73368   0.73522   0.73419       686
weighted avg    0.73755   0.73615   0.73658       686

Accuracy  0.736151603499
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 64, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [156, 16, 80], 'momentum': 0.3}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.7}]
0 1.22253871113 1.19737422466 saving model
1 1.00449841022 1.03395104408 saving model
2 0.874668696523 1.07281637192
3 0.870115511119 1.06765222549
4 0.769151638448 0.995388925076 saving model
5 0.735205858946 1.00352048874
6 0.679268877208 0.99343419075 saving model
7 0.662843933702 1.01413047314
8 0.631150148809 1.04832708836
9 0.649178794026 0.997795283794
10 0.605051680654 0.968023300171 saving model
11 0.575585170835 0.981688380241
12 0.610387757421 0.991546273232
13 0.588146103919 1.01638770103
14 0.566895291954 1.10640656948
15 0.570736271143 1.00766146183
16 0.578480739146 1.02329087257
17 0.554103779048 1.0236941576
18 0.524128139019 1.00591111183
19 0.540594393015 0.998050630093
20 0.569063396007 0.980780184269
21 0.524449750036 1.00388288498
22 0.536878179014 1.02560067177
23 0.549222854525 0.970682740211
24 0.532514704019 0.99472284317
25 0.532683325559 0.965561807156 saving model
26 0.518647959828 0.979083061218
27 0.483109606802 0.958692848682 saving model
28 0.477018203586 1.00332558155
29 0.486707432568 0.978980958462
30 0.489366802573 0.964948654175
31 0.469896893948 0.973438501358
32 0.463759016246 0.988137066364
33 0.477532579005 0.965198874474
34 0.425715141743 0.942230224609 saving model
35 0.450428075343 0.956626236439
36 0.452744743973 0.982345402241
37 0.429648586363 1.02591586113
38 0.475315161049 0.974031627178
39 0.457611266524 0.951652467251
40 0.433255394548 0.984033703804
41 0.448286879808 0.985322892666
42 0.439103203267 0.95027577877
43 0.449007112533 0.97576791048
44 0.448664020002 0.989451706409
45 0.470593839884 0.984001874924
46 0.422735381871 0.95721668005
47 0.420488513261 0.992594480515
48 0.430786324292 0.980785250664
49 0.454211646318 0.982179224491
model number is: 98374
mae:  1.05387991873
corr:  0.595187448052
mult_acc:  0.31778
mult f_score:  0.33056
Confusion Matrix :
[[274 105]
 [ 84 223]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76536   0.72296   0.74355       379
        True    0.67988   0.72638   0.70236       307

   micro avg    0.72449   0.72449   0.72449       686
   macro avg    0.72262   0.72467   0.72296       686
weighted avg    0.72711   0.72449   0.72512       686

Accuracy  0.724489795918
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 64, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [32, 32, 48], 'momentum': 0.3}, {'shapes': 256, 'drop': 0.5}, {'shapes': 128, 'drop': 0.5}, {'shapes': 64, 'drop': 0.5}, {'shapes': 128, 'drop': 0.5}, {'shapes': 64, 'drop': 0.5}]
0 1.17961235344 1.10430312157 saving model
1 1.00673143119 1.16111445427
2 0.883704268932 1.0450861454 saving model
3 0.753523612767 1.04917001724
4 0.705577017367 0.986921429634 saving model
5 0.625712690502 0.966468989849 saving model
6 0.603906524181 0.986241698265
7 0.564996802807 0.993446111679
8 0.591639960557 0.960929751396 saving model
9 0.525524737686 0.979324877262
10 0.482338828593 1.0237249136
11 0.48884844631 0.978548467159
12 0.466761045903 1.00839602947
13 0.47402677983 1.10592472553
14 0.454309170693 1.02819001675
15 0.444010108709 0.996969163418
16 0.443374173343 0.943586468697 saving model
17 0.42124652192 0.975268781185
18 0.398432396352 0.930856585503 saving model
19 0.410594007373 0.982661724091
20 0.381747228652 0.974823653698
21 0.386592234299 1.018034935
22 0.410398431867 1.02214646339
23 0.407199040055 1.02174890041
24 0.41793454662 0.999471187592
25 0.453679385036 0.975063920021
26 0.434693999588 0.982000768185
27 0.427552761137 1.00706064701
28 0.364851015061 0.966861963272
29 0.35659250319 1.0253123045
30 0.388884601742 0.980937302113
31 0.359998439252 1.02151358128
32 0.370492534712 0.960652768612
33 0.380334936827 0.976948857307
34 0.401274781674 1.02811396122
35 0.388656886294 0.958720266819
36 0.366938049719 0.941705405712
37 0.350885177404 0.967955052853
38 0.353768338263 0.974974811077
39 0.336791636795 0.958930909634
40 0.329013311863 0.995291233063
41 0.328762944043 0.958263576031
42 0.307489317283 0.971833884716
43 0.311047549173 0.988507151604
44 0.32894942984 1.00741815567
45 0.315228893608 1.00454866886
46 0.353312032297 0.992991328239
47 0.357211976498 1.05966508389
48 0.398777400702 1.00326275826
49 0.404602891207 0.992659270763
model number is: 88914
mae:  1.07503694234
corr:  0.583005908892
mult_acc:  0.31195
mult f_score:  0.3208
Confusion Matrix :
[[269 110]
 [ 85 222]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75989   0.70976   0.73397       379
        True    0.66867   0.72313   0.69484       307

   micro avg    0.71574   0.71574   0.71574       686
   macro avg    0.71428   0.71644   0.71440       686
weighted avg    0.71907   0.71574   0.71646       686

Accuracy  0.715743440233
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 400, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [64, 16, 32], 'momentum': 0.9}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.2}, {'shapes': 256, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}]
0 1.21192134619 1.14629530907 saving model
1 0.956915441155 1.00071525574 saving model
2 0.821171760559 0.985468149185 saving model
3 0.771141180396 0.993073403835
4 0.733391198516 0.981160521507 saving model
5 0.653086546063 0.964273095131 saving model
6 0.591417145729 0.944701075554 saving model
7 0.553965058923 0.980231165886
8 0.535640828311 1.04730951786
9 0.583621227741 1.0367128849
10 0.566754356027 1.00417220592
11 0.519921533763 1.00262439251
12 0.443403457105 0.954912722111
13 0.422636462748 0.960581958294
14 0.41412229389 0.984770357609
15 0.423382425308 1.01397049427
16 0.406422449648 0.975724279881
17 0.379782769084 0.989412844181
18 0.388416421413 1.02021884918
19 0.416394092143 1.11046755314
20 0.4629162848 1.03257250786
21 0.457461641729 0.977501392365
22 0.42604662627 0.981469452381
23 0.370199477673 1.00218808651
24 0.337292541564 0.988680779934
25 0.319531443715 0.962667882442
26 0.311901111901 0.980295479298
27 0.291011016816 1.00095272064
28 0.305361968279 0.976531982422
29 0.310876581073 0.987319171429
30 0.330850671232 1.01624321938
31 0.344829159975 1.01104664803
32 0.386720949411 0.968041300774
33 0.377549137175 0.979727625847
34 0.351619678736 0.993356108665
35 0.341948999465 0.978375315666
36 0.386807793379 1.06191372871
37 0.511401301622 1.17305600643
38 0.539491593838 0.982479155064
39 0.350422737002 1.01134467125
40 0.323902150989 0.981603145599
41 0.269655020535 0.991219043732
42 0.274889308214 1.01801621914
43 0.293795569241 1.01371610165
44 0.299605092406 0.999426245689
45 0.324978724122 1.0019505024
46 0.332390566915 0.988655984402
47 0.351339614391 1.02447128296
48 0.387657177448 1.01063883305
49 0.37408195883 1.02114069462
model number is: 48034
mae:  1.02663600324
corr:  0.609819374726
mult_acc:  0.32507
mult f_score:  0.32839
Confusion Matrix :
[[309  70]
 [104 203]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74818   0.81530   0.78030       379
        True    0.74359   0.66124   0.70000       307

   micro avg    0.74636   0.74636   0.74636       686
   macro avg    0.74589   0.73827   0.74015       686
weighted avg    0.74613   0.74636   0.74437       686

Accuracy  0.746355685131
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [256, 8, 64], 'momentum': 0.8}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.2}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.2}, {'shapes': 32, 'drop': 0.5}]
0 1.20354120135 1.15884041786 saving model
1 1.00634265542 1.06569266319 saving model
2 0.862467858195 0.98161560297 saving model
3 0.792859649658 1.00394761562
4 0.726809692383 0.997843027115
5 0.68639857769 1.00224399567
6 0.61927934885 0.995594799519
7 0.626456454396 0.959172546864 saving model
8 0.589133058488 0.992735505104
9 0.583821734786 0.9994353652
10 0.578873994946 0.953102529049 saving model
11 0.534613139927 1.00164747238
12 0.537977395952 0.964125931263
13 0.526792803407 0.95443457365
14 0.539112384617 1.0191565752
15 0.505083246529 0.898723244667 saving model
16 0.469641114771 0.942980229855
17 0.526272565126 0.957735955715
18 0.534441812336 0.909606516361
19 0.531289549172 0.971660375595
20 0.527173349261 1.04052972794
21 0.616881220043 0.927867233753
22 0.624936628342 0.974173069
23 0.511955882609 0.945240914822
24 0.458995954692 0.972417652607
25 0.43650623858 0.899801075459
26 0.418398889899 0.928925096989
27 0.415908838809 0.939376652241
28 0.401513914764 0.937860906124
29 0.414505672455 0.943931818008
30 0.420863232017 0.925487160683
31 0.444739463925 0.989372730255
32 0.445131708682 1.00472211838
33 0.543321692944 0.932639837265
34 0.47219914943 0.985788404942
35 0.456049253047 0.993341326714
36 0.417788381875 0.953615963459
37 0.40908523351 0.950034976006
38 0.388845567405 1.00444078445
39 0.405914068222 0.965125322342
40 0.400344413519 0.95044785738
41 0.39350695014 0.932907044888
42 0.388185977936 1.00352346897
43 0.420459410548 0.972745776176
44 0.448747229576 1.0014885664
45 0.496539986134 0.967725753784
46 0.547320580482 1.00929319859
47 0.557740288973 1.0247682333
48 0.552961674333 0.932271957397
49 0.47916340977 0.903793513775
model number is: 15639
mae:  1.03386963075
corr:  0.642826219224
mult_acc:  0.31487
mult f_score:  0.33251
Confusion Matrix :
[[273 106]
 [ 72 235]]
Classification Report :
              precision    recall  f1-score   support

       False    0.79130   0.72032   0.75414       379
        True    0.68915   0.76547   0.72531       307

   micro avg    0.74052   0.74052   0.74052       686
   macro avg    0.74023   0.74289   0.73973       686
weighted avg    0.74559   0.74052   0.74124       686

Accuracy  0.740524781341
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 256, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [256, 32, 64], 'momentum': 0.1}, {'shapes': 128, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}, {'shapes': 128, 'drop': 0.5}]
0 1.29059180021 1.29555249214 saving model
1 1.05948277414 1.13232958317 saving model
2 0.948326790333 1.09016513824 saving model
3 0.889480155706 1.03719222546 saving model
4 0.837194898725 1.0382399559
5 0.797111669183 1.03419685364 saving model
6 0.75797097683 1.01593351364 saving model
7 0.754767400026 1.07038521767
8 0.67961563766 0.999288856983 saving model
9 0.627400669456 1.00115156174
10 0.577661916614 0.995401978493 saving model
11 0.556561024487 1.01992976665
12 0.525915566087 1.02908575535
13 0.51064812541 0.985054135323 saving model
14 0.490490965545 1.01791286469
15 0.469356910884 1.04378771782
16 0.479592636228 0.98164921999 saving model
17 0.446010567248 1.02978599072
18 0.469112569094 1.00401508808
19 0.413950282335 1.02387070656
20 0.388812616467 0.9977658391
21 0.380812858045 0.97025346756 saving model
22 0.360361564159 0.99148619175
23 0.373120981455 1.02080202103
24 0.389190323651 0.976675748825
25 0.375764219463 0.956821382046 saving model
26 0.359197357297 0.998415529728
27 0.36468321383 1.03290128708
28 0.403030793369 0.965162098408
29 0.353944981098 1.00905025005
30 0.384840406477 1.01472270489
31 0.378741021454 1.06356227398
32 0.366777688265 1.03861296177
33 0.398623077571 1.05404508114
34 0.435628598928 1.09965360165
35 0.438345496356 1.14000105858
36 0.463160444796 1.07231557369
37 0.416571544111 1.00289452076
38 0.362344627082 0.998881101608
39 0.360635405779 0.999877691269
40 0.346425653994 1.01015138626
41 0.336557030678 1.00454092026
42 0.310014672577 1.0241382122
43 0.279328597337 1.00971627235
44 0.285304191709 1.01471066475
45 0.273112829775 0.978029489517
46 0.250175507367 1.00554835796
47 0.240812266618 1.00035190582
48 0.243469721824 0.967432081699
49 0.269146417081 0.972621917725
model number is: 82287
mae:  1.03271813928
corr:  0.597479079878
mult_acc:  0.30466
mult f_score:  0.30966
Confusion Matrix :
[[305  74]
 [ 99 208]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75495   0.80475   0.77905       379
        True    0.73759   0.67752   0.70628       307

   micro avg    0.74781   0.74781   0.74781       686
   macro avg    0.74627   0.74114   0.74267       686
weighted avg    0.74718   0.74781   0.74649       686

Accuracy  0.747813411079
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 400, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [88, 32, 32], 'momentum': 0.5}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.2}]
0 1.23484612107 1.14976620674 saving model
1 0.932459118962 1.06361043453 saving model
2 0.837780112028 0.988997817039 saving model
3 0.716361072659 0.931507885456 saving model
4 0.68277746141 1.0229228735
5 0.652927413583 0.945641934872
6 0.594324395061 0.97441214323
7 0.581090478599 0.958922386169
8 0.500143492222 0.997744202614
9 0.465287141502 0.944619476795
10 0.411632707715 0.952217876911
11 0.417697660625 0.940107762814
12 0.393247249722 0.960204541683
13 0.398341955245 0.957290828228
14 0.390705654025 0.905060470104 saving model
15 0.354389193654 1.02119517326
16 0.352044591308 0.984621524811
17 0.335728046298 0.938305199146
18 0.306817346066 0.984934687614
19 0.306122786552 0.986221134663
20 0.309537042677 0.981559276581
21 0.348077335209 1.00501191616
22 0.3060202986 1.00265216827
23 0.323046912998 0.997706532478
24 0.337795981765 1.01898646355
25 0.335011407733 1.01453244686
26 0.41219433248 1.04197204113
27 0.482880195975 1.21753716469
28 0.704912611842 1.00238454342
29 0.594157606363 0.964082896709
30 0.42696390599 0.942438542843
31 0.379390795529 0.937473654747
32 0.364498624206 0.936969578266
33 0.345479357243 0.995819449425
34 0.322391776741 1.02821624279
35 0.303787854314 1.02067470551
36 0.281924954057 1.02524662018
37 0.295353090763 1.00143027306
38 0.328832563758 1.02217411995
39 0.420380461216 1.09332406521
40 0.513291943073 0.934624016285
41 0.467768251896 0.980916023254
42 0.373508785665 1.0378844738
43 0.34283965677 1.06016361713
44 0.358085747063 1.00717139244
45 0.333999834955 0.979717135429
46 0.390355756879 1.01564455032
47 0.450464095175 0.898099541664 saving model
48 0.378363269567 0.949983775616
49 0.291294564307 0.968336880207
model number is: 14315
mae:  1.10951400397
corr:  0.567717168115
mult_acc:  0.32945
mult f_score:  0.33778
Confusion Matrix :
[[265 114]
 [ 82 225]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76369   0.69921   0.73003       379
        True    0.66372   0.73290   0.69659       307

   micro avg    0.71429   0.71429   0.71429       686
   macro avg    0.71370   0.71605   0.71331       686
weighted avg    0.71895   0.71429   0.71507       686

Accuracy  0.714285714286
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 300, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [256, 80, 8], 'momentum': 0.8}, {'shapes': 128, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.2}, {'shapes': 256, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}]
0 1.23221037388 1.27149045467 saving model
1 1.10302889347 1.28313708305
2 0.926794335246 1.01207339764 saving model
3 0.736681130528 0.947476565838 saving model
4 0.636757856607 0.945119142532 saving model
5 0.564283584058 0.951284110546
6 0.538934901357 0.889484703541 saving model
7 0.500420708954 0.877225935459 saving model
8 0.460719159245 0.904238581657
9 0.429487363994 1.08804452419
10 0.447525891662 0.884642362595
11 0.368602061272 0.911256074905
12 0.348294992745 0.933556854725
13 0.329194033891 0.969236254692
14 0.407519760728 0.994874536991
15 0.430447129905 1.01667296886
16 0.425495748222 0.961085140705
17 0.383161096275 0.910341143608
18 0.32696660012 0.959413647652
19 0.270520225167 0.916139364243
20 0.340922565013 0.911214888096
21 0.446813991666 1.08185982704
22 0.524028585851 0.939415216446
23 0.376202275604 0.901591897011
24 0.305964004248 0.9391040802
25 0.287691203505 0.972528874874
26 0.293992972374 0.968390762806
27 0.345027825236 0.979542553425
28 0.375038391352 0.937946081161
29 0.327569305897 0.887501060963
30 0.224426334351 0.931294202805
31 0.221796299517 0.954238831997
32 0.249310262501 0.987766206264
33 0.304067191482 0.935193896294
34 0.281380179524 0.900452554226
35 0.231668370962 0.887285232544
36 0.201892799884 0.913869380951
37 0.221269765496 0.984123170376
38 0.249620015919 0.968099892139
39 0.239427196234 0.953548789024
40 0.21842315644 0.964517652988
41 0.163106463104 0.953017652035
42 0.173257210851 0.934678673744
43 0.236905400455 0.93709820509
44 0.274776981771 0.919737696648
45 0.26259194985 0.934623897076
46 0.194054865837 0.979029119015
47 0.207825277746 0.966308832169
48 0.213426028937 0.953447282314
49 0.255159658194 0.936902463436
model number is: 18726
mae:  1.02652038125
corr:  0.625598040414
mult_acc:  0.30904
mult f_score:  0.32567
Confusion Matrix :
[[294  85]
 [ 99 208]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74809   0.77573   0.76166       379
        True    0.70990   0.67752   0.69333       307

   micro avg    0.73178   0.73178   0.73178       686
   macro avg    0.72899   0.72663   0.72750       686
weighted avg    0.73100   0.73178   0.73108       686

Accuracy  0.731778425656
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 400, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [32, 8, 48], 'momentum': 0.6}, {'shapes': 256, 'drop': 0.0}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.2}]
0 1.32012782693 1.40385019779 saving model
1 1.24955579638 1.24384379387 saving model
2 1.06520276964 1.14527833462 saving model
3 0.991207078099 1.08385169506 saving model
4 0.928403842449 1.04790997505 saving model
5 0.829417949915 1.02595460415 saving model
6 0.756325218081 1.03861653805
7 0.70841628015 1.00907969475 saving model
8 0.655197697878 1.03384768963
9 0.646818637848 0.99966365099 saving model
10 0.619864022732 1.03594386578
11 0.561132180691 1.02230966091
12 0.539289452136 1.0295497179
13 0.527624467015 1.02646875381
14 0.497454361618 1.02743029594
15 0.50866163224 1.0831053257
16 0.568513420224 1.00101029873
17 0.575724466145 1.00859153271
18 0.467289964855 1.0216524601
19 0.476422038674 1.03041470051
20 0.477842013538 1.04117643833
21 0.444377349317 1.05019426346
22 0.404932758212 1.03295147419
23 0.382590065897 1.01987099648
24 0.388990849257 1.02476453781
25 0.375235255063 1.05579590797
26 0.362640501559 1.0141313076
27 0.356599536538 1.0306892395
28 0.35559156239 1.03610265255
29 0.351946353912 1.0450925827
30 0.331901217997 1.02761983871
31 0.329642626643 1.04562020302
32 0.33809133172 1.04870390892
33 0.322277441621 1.05091154575
34 0.307031415403 1.06260073185
35 0.315093614161 1.07420134544
36 0.298622436821 1.06160092354
37 0.310843783617 1.06373679638
38 0.301727262139 1.07421696186
39 0.315524825454 1.07394087315
40 0.324103794992 1.10505926609
41 0.324631719291 1.12333869934
42 0.342024889588 1.15162336826
43 0.431014189124 1.19926464558
44 0.475457713008 1.10440206528
45 0.507094040513 1.07247662544
46 0.448288309574 1.07818078995
47 0.377499234676 1.0344684124
48 0.300978374481 1.04459738731
49 0.270388861001 1.03395950794
model number is: 26579
mae:  1.03359552539
corr:  0.623698654161
mult_acc:  0.29446
mult f_score:  0.34794
Confusion Matrix :
[[318  61]
 [ 97 210]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76627   0.83905   0.80101       379
        True    0.77491   0.68404   0.72664       307

   micro avg    0.76968   0.76968   0.76968       686
   macro avg    0.77059   0.76154   0.76383       686
weighted avg    0.77013   0.76968   0.76773       686

Accuracy  0.769679300292
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 128, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [156, 32, 8], 'momentum': 0.3}, {'shapes': 256, 'drop': 0.0}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.2}]
0 1.19146123081 1.21016323566 saving model
1 1.0090787217 1.09177064896 saving model
2 0.86995960027 1.01620721817 saving model
3 0.755152502656 0.992158174515 saving model
4 0.702728623152 0.976190149784 saving model
5 0.624520760775 0.964878022671 saving model
6 0.544667572528 0.981331944466
7 0.518626678735 0.93134611845 saving model
8 0.478420531005 0.964004695415
9 0.475144229829 0.932302236557
10 0.465918266773 0.932091474533
11 0.490494965762 0.992437362671
12 0.447428941727 1.01711940765
13 0.426287384331 0.968862116337
14 0.38903985098 0.964238464832
15 0.371239425987 0.938610970974
16 0.353968799859 0.952739179134
17 0.350277727842 0.957823812962
18 0.376620603353 0.968166053295
19 0.344026950002 1.00416135788
20 0.326198283955 1.02316379547
21 0.335602023453 0.974265575409
22 0.322724880651 0.952102839947
23 0.3569187738 0.950807571411
24 0.346186985448 1.00268054008
25 0.368238533288 0.974568843842
26 0.345547676831 1.0087968111
27 0.37502184324 1.04933226109
28 0.425450249761 0.957056283951
29 0.377648515627 1.01414501667
30 0.339415027574 0.984127402306
31 0.320921617001 0.965126276016
32 0.317892220244 0.999101519585
33 0.311295774579 0.990571022034
34 0.322530523688 0.985112011433
35 0.306438682601 0.964205205441
36 0.319805593416 0.950765430927
37 0.290061865747 0.978109121323
38 0.290232876316 0.975166916847
39 0.313862797245 0.952873408794
40 0.278045706823 1.01530086994
41 0.303056399897 0.979277849197
42 0.29443090409 0.96486389637
43 0.292282773182 0.983403623104
44 0.279323803261 0.963227391243
45 0.277522959933 0.948928773403
46 0.272155722231 0.972689092159
47 0.278359970823 0.996148109436
48 0.291065269336 0.973404407501
49 0.331622392312 0.940422654152
model number is: 91902
mae:  0.979884368453
corr:  0.628908086027
mult_acc:  0.32799
mult f_score:  0.3312
Confusion Matrix :
[[303  76]
 [ 92 215]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76709   0.79947   0.78295       379
        True    0.73883   0.70033   0.71906       307

   micro avg    0.75510   0.75510   0.75510       686
   macro avg    0.75296   0.74990   0.75100       686
weighted avg    0.75444   0.75510   0.75436       686

Accuracy  0.755102040816
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 400, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [88, 8, 32], 'momentum': 0.5}, {'shapes': 32, 'drop': 0.5}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}, {'shapes': 256, 'drop': 0.7}]
0 1.30756071508 1.31774830818 saving model
1 1.08083106279 1.19487798214 saving model
2 0.969152463973 1.06906926632 saving model
3 0.882344424725 1.02699565887 saving model
4 0.828136621416 1.03599739075
5 0.763135802746 1.00482845306 saving model
6 0.727331377566 0.955894112587 saving model
7 0.684598898888 0.968253672123
8 0.646965019405 0.986330866814
9 0.617219609022 0.967754125595
10 0.5773682639 0.968491733074
11 0.543289814889 1.02533042431
12 0.546513802558 0.989679336548
13 0.556022129953 0.988600611687
14 0.495520153642 1.01344013214
15 0.512569649518 1.02956652641
16 0.539940436929 0.981063485146
17 0.536500269175 0.965499103069
18 0.537726477534 1.03075957298
19 0.482952987403 0.984306395054
20 0.44602207467 0.963928639889
21 0.400501970202 0.952555000782 saving model
22 0.35685948208 0.958806872368
23 0.346215354651 0.936648547649 saving model
24 0.34156088084 0.958142697811
25 0.34616795145 0.950996816158
26 0.343112155795 0.961236417294
27 0.345359440148 0.9561881423
28 0.350464271009 0.944980859756
29 0.330020651966 0.974898219109
30 0.317301110551 0.97703742981
31 0.34157343246 1.02433693409
32 0.33797468394 0.98684066534
33 0.31797424145 0.970541536808
34 0.299226259068 0.940780222416
35 0.288947275653 0.937688052654
36 0.292949461564 0.926594257355 saving model
37 0.288649125397 0.934789061546
38 0.278095924109 0.976173579693
39 0.300776190311 0.958476901054
40 0.272597491369 0.962867558002
41 0.285201285407 0.973122656345
42 0.291661631316 0.932890534401
43 0.278309049085 0.93581366539
44 0.269260910526 0.940015614033
45 0.262258556113 0.951564848423
46 0.263780869544 0.936497986317
47 0.258188135549 0.940097212791
48 0.253772382066 0.954142868519
49 0.262213103473 1.00376987457
model number is: 22950
mae:  1.04832772617
corr:  0.590675729586
mult_acc:  0.30321
mult f_score:  0.30777
Confusion Matrix :
[[267 112]
 [ 77 230]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77616   0.70449   0.73859       379
        True    0.67251   0.74919   0.70878       307

   micro avg    0.72449   0.72449   0.72449       686
   macro avg    0.72434   0.72684   0.72369       686
weighted avg    0.72978   0.72449   0.72525       686

Accuracy  0.724489795918
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 300, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [128, 80, 8], 'momentum': 0.5}, {'shapes': 128, 'drop': 0.7}, {'shapes': 32, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.0}, {'shapes': 128, 'drop': 0.2}]
0 1.28735501766 1.19546866417 saving model
1 1.04593835473 1.18329238892 saving model
2 0.920834380388 1.05542290211 saving model
3 0.852407383919 1.03168129921 saving model
4 0.767306482792 0.972583770752 saving model
5 0.765380996466 0.990925192833
6 0.672244542837 0.935289025307 saving model
7 0.621461954713 0.923121452332 saving model
8 0.544530659914 0.912809550762 saving model
9 0.49191712141 0.916238248348
10 0.45609100759 0.908376395702 saving model
11 0.474586984515 0.935532331467
12 0.476863536239 0.965924799442
13 0.458240330219 1.01348268986
14 0.491047850251 0.926139593124
15 0.431153011322 1.01917541027
16 0.493454483151 1.02451956272
17 0.520936459303 1.01307952404
18 0.506926098466 0.973273932934
19 0.48414042294 0.963006019592
20 0.363107034564 0.939594089985
21 0.323546585441 0.887500345707 saving model
22 0.334757739305 0.923664271832
23 0.337873232365 0.913885056973
24 0.33669321537 0.948233127594
25 0.354492378235 0.983502626419
26 0.341766253114 0.976991057396
27 0.332202208042 0.920493364334
28 0.297437532246 0.923337996006
29 0.317578826845 0.947560489178
30 0.275814461708 0.996949791908
31 0.288237561285 0.933294177055
32 0.252947986126 0.926925718784
33 0.269529569149 0.900457501411
34 0.267779242992 0.965867102146
35 0.267413505912 0.951956808567
36 0.246418878436 0.91305989027
37 0.234234717488 0.891273617744
38 0.23066303134 0.915687680244
39 0.233283312619 0.935931265354
40 0.213112144172 0.938630759716
41 0.211218115687 0.929170191288
42 0.216946583986 0.942449986935
43 0.211010847986 0.917143702507
44 0.229316827655 0.902539372444
45 0.240195180476 0.921152412891
46 0.227167209983 0.963806271553
47 0.229132978618 0.957527518272
48 0.228917112947 0.925728201866
49 0.211820323765 0.906455755234
model number is: 9867
mae:  1.02430924199
corr:  0.608139391529
mult_acc:  0.34111
mult f_score:  0.34941
Confusion Matrix :
[[286  93]
 [ 91 216]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75862   0.75462   0.75661       379
        True    0.69903   0.70358   0.70130       307

   micro avg    0.73178   0.73178   0.73178       686
   macro avg    0.72882   0.72910   0.72896       686
weighted avg    0.73195   0.73178   0.73186       686

Accuracy  0.731778425656
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 128, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [256, 80, 32], 'momentum': 0.5}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.5}]
0 1.30305981636 1.36142802238 saving model
1 1.25154316425 1.23279976845 saving model
2 1.06106413603 1.15170776844 saving model
3 0.996089756489 1.13797461987 saving model
4 0.968998765945 1.10989069939 saving model
5 0.910279333591 1.04898571968 saving model
6 0.846295928955 1.02093553543 saving model
7 0.800462734699 0.98280698061 saving model
8 0.773259782791 0.996480941772
9 0.744135189056 0.982185959816 saving model
10 0.686137974262 0.949461698532 saving model
11 0.673374712467 0.981705307961
12 0.659702706337 1.00161886215
13 0.679417932034 0.986030519009
14 0.652436459064 1.03390610218
15 0.632616519928 0.971127331257
16 0.5597235322 1.02016794682
17 0.531202697754 0.986866831779
18 0.498793262243 0.998007416725
19 0.466745203733 1.00868284702
20 0.449016487598 1.0201985836
21 0.446968847513 0.976255953312
22 0.447534608841 1.03045678139
23 0.484780669212 1.03780472279
24 0.463495582342 1.03125762939
25 0.387047493458 1.01005423069
26 0.36361041069 1.00969433784
27 0.338776183128 1.00051426888
28 0.31922506094 1.01358938217
29 0.337419515848 1.00484287739
30 0.333584457636 1.00106871128
31 0.318884915113 1.00490450859
32 0.317222201824 1.01048862934
33 0.3284514606 0.971075177193
34 0.306757712364 0.995578169823
35 0.306891441345 1.00150167942
36 0.28847836256 0.991423070431
37 0.276537996531 0.993942320347
38 0.261525517702 0.991462111473
39 0.25049482286 0.977765738964
40 0.245663505793 0.985133230686
41 0.249460917711 1.00184643269
42 0.243522778153 0.989789962769
43 0.240886646509 0.99009090662
44 0.237043190002 1.01047968864
45 0.237903824449 1.02016711235
46 0.236239770055 0.978115618229
47 0.239824387431 1.01281785965
48 0.25402611196 0.98481541872
49 0.231890428066 0.996056675911
model number is: 49337
mae:  1.00529729724
corr:  0.632203492
mult_acc:  0.33236
mult f_score:  0.35394
Confusion Matrix :
[[304  75]
 [ 98 209]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75622   0.80211   0.77849       379
        True    0.73592   0.68078   0.70728       307

   micro avg    0.74781   0.74781   0.74781       686
   macro avg    0.74607   0.74145   0.74288       686
weighted avg    0.74713   0.74781   0.74662       686

Accuracy  0.747813411079
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 64, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [156, 80, 80], 'momentum': 0.8}, {'shapes': 256, 'drop': 0.0}, {'shapes': 32, 'drop': 0.7}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}]
0 1.27835676074 1.25395262241 saving model
1 1.07737048864 1.13686001301 saving model
2 0.942845025659 1.07618439198 saving model
3 0.914892277122 1.07193827629 saving model
4 0.807454299927 1.00137460232 saving model
5 0.752935853601 1.01260745525
6 0.708468052745 1.01593375206
7 0.670552575588 1.00022339821 saving model
8 0.631546372175 1.0824893713
9 0.608077190816 1.04879629612
10 0.666199630499 1.02665555477
11 0.615684729815 1.05110347271
12 0.541295348108 1.00534546375
13 0.488007549942 1.0068334341
14 0.48738990128 1.00009119511 saving model
15 0.475041341782 1.01742660999
16 0.44217184186 0.972072482109 saving model
17 0.381441402435 0.982172846794
18 0.3985803321 1.02191853523
19 0.360589076579 1.00587034225
20 0.350088469684 0.992545425892
21 0.319367077202 0.980939388275
22 0.309856171161 0.99152970314
23 0.335113026947 1.03778266907
24 0.300402288139 1.02069413662
25 0.315216398239 1.04680013657
26 0.339003099501 1.04384160042
27 0.311333194375 1.02550125122
28 0.307443100214 1.00694012642
29 0.302659985423 0.993048787117
30 0.28561712727 1.01127851009
31 0.264416404068 1.01361775398
32 0.233876188099 1.00408017635
33 0.223000679165 1.04746115208
34 0.242656902969 1.05089187622
35 0.253878117353 1.03146624565
36 0.251373190433 1.03770971298
37 0.248236772418 1.02807724476
38 0.232908528298 1.06227064133
39 0.24565865472 1.05841755867
40 0.2493561171 1.05102574825
41 0.217988102883 1.08856332302
42 0.232748040557 1.0946149826
43 0.237615019083 1.08816659451
44 0.315996841341 1.05103302002
45 0.407968829572 1.08533585072
46 0.392135190219 1.07224178314
47 0.311725454032 1.06034708023
48 0.243924506754 1.03917336464
49 0.206839588284 1.03936731815
model number is: 50807
mae:  1.01767144879
corr:  0.61528969063
mult_acc:  0.32216
mult f_score:  0.33893
Confusion Matrix :
[[305  74]
 [103 204]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74755   0.80475   0.77510       379
        True    0.73381   0.66450   0.69744       307

   micro avg    0.74198   0.74198   0.74198       686
   macro avg    0.74068   0.73462   0.73627       686
weighted avg    0.74140   0.74198   0.74034       686

Accuracy  0.741982507289
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [156, 48, 16], 'momentum': 0.6}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.5}]
0 1.29502290487 1.30784356594 saving model
1 1.08655785322 1.11698019505 saving model
2 0.970847928524 1.08773958683 saving model
3 0.924796319008 1.05492067337 saving model
4 0.831399619579 1.03422737122 saving model
5 0.762893170118 0.986436665058 saving model
6 0.703755390644 0.95269048214 saving model
7 0.67180994153 0.955304741859
8 0.643008130789 0.98357462883
9 0.624286925793 1.03293299675
10 0.619181972742 0.99862152338
11 0.592545765638 1.00063145161
12 0.556222754717 0.999771237373
13 0.514491263032 1.03794443607
14 0.526490390301 0.98603361845
15 0.472558492422 1.02593803406
16 0.463095265627 1.11208891869
17 0.572243139148 1.07794940472
18 0.630271977186 1.01109230518
19 0.527624198794 1.04116237164
20 0.42025411725 0.976687371731
21 0.373871597648 0.970696747303
22 0.348414796591 0.993071973324
23 0.340207946301 1.02407062054
24 0.32704385519 1.02041327953
25 0.333404529095 0.998676836491
26 0.316873422265 0.984326720238
27 0.314837068319 0.986709356308
28 0.288212993741 1.01173532009
29 0.303949648142 1.00159871578
30 0.304648409784 0.969287991524
31 0.277835801244 0.984236955643
32 0.278897286952 1.02398252487
33 0.289144729078 1.02187943459
34 0.296718320251 0.981460213661
35 0.296182207763 0.994248628616
36 0.326703763008 1.02373349667
37 0.351611581445 1.02465105057
38 0.328584095836 1.02629733086
39 0.3158776775 1.00831198692
40 0.299235256016 0.992633163929
41 0.26311378628 0.992642343044
42 0.262479954958 0.97229963541
43 0.279834546149 0.972748398781
44 0.308123990893 1.01693034172
45 0.292721769214 1.01599955559
46 0.261359116435 0.987983942032
47 0.249261172116 0.999051451683
48 0.238443084061 0.991161286831
49 0.22646791935 1.01858437061
model number is: 9479
mae:  1.03481975835
corr:  0.617353414388
mult_acc:  0.32216
mult f_score:  0.34225
Confusion Matrix :
[[305  74]
 [ 94 213]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76441   0.80475   0.78406       379
        True    0.74216   0.69381   0.71717       307

   micro avg    0.75510   0.75510   0.75510       686
   macro avg    0.75329   0.74928   0.75062       686
weighted avg    0.75445   0.75510   0.75413       686

Accuracy  0.755102040816
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 300, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [256, 64, 8], 'momentum': 0.9}, {'shapes': 64, 'drop': 0.0}, {'shapes': 32, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}, {'shapes': 32, 'drop': 0.2}, {'shapes': 64, 'drop': 0.0}]
0 1.30092571974 1.33711791039 saving model
1 1.16084757447 1.14302003384 saving model
2 1.0161831677 1.19630515575
3 0.996095305681 1.15289378166
4 0.975234383345 1.13445186615 saving model
5 0.884826594591 1.0904198885 saving model
6 0.839281761646 1.04430019855 saving model
7 0.780087536573 1.01483345032 saving model
8 0.729739618301 1.00613248348 saving model
9 0.681611037254 1.0037201643 saving model
10 0.638210147619 0.996638298035 saving model
11 0.597011256218 0.999452829361
12 0.579176956415 1.01454794407
13 0.551080939174 1.08447420597
14 0.550099536777 1.05113661289
15 0.534504580498 1.08595967293
16 0.56450355351 1.11957466602
17 0.651746982336 1.06334686279
18 0.626307928562 1.09030067921
19 0.591042479873 1.04891133308
20 0.509557011724 1.0422501564
21 0.444683015347 1.038428545
22 0.394130244851 1.02705204487
23 0.354973769188 1.03787457943
24 0.331972703338 1.05073487759
25 0.33514495492 1.0521312952
26 0.35663651228 1.06406772137
27 0.404691657424 1.03303182125
28 0.399574673176 1.07252514362
29 0.380168306828 1.04213440418
30 0.315168964863 1.01432824135
31 0.29601585567 1.07032799721
32 0.271938881278 1.03883719444
33 0.250182190537 1.05589878559
34 0.277640688419 1.0697709322
35 0.320583543181 1.04344725609
36 0.314648713171 1.07628369331
37 0.325183428824 1.01521801949
38 0.275862810016 1.06032657623
39 0.243403090537 1.03744316101
40 0.228798615932 1.03688979149
41 0.248966997862 1.04828369617
42 0.257051998377 1.05110430717
43 0.250013022125 1.03752183914
44 0.221398365498 1.07222139835
45 0.214855745435 1.02436923981
46 0.20119779408 1.03065359592
47 0.198098497093 1.05947959423
48 0.251031576097 1.02924799919
49 0.225509509444 1.05003082752
model number is: 75304
mae:  1.03905846138
corr:  0.620733688637
mult_acc:  0.34402
mult f_score:  0.35752
Confusion Matrix :
[[271 108]
 [ 80 227]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77208   0.71504   0.74247       379
        True    0.67761   0.73941   0.70717       307

   micro avg    0.72595   0.72595   0.72595       686
   macro avg    0.72485   0.72723   0.72482       686
weighted avg    0.72980   0.72595   0.72667       686

Accuracy  0.725947521866
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 64, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [156, 48, 16], 'momentum': 0.1}, {'shapes': 32, 'drop': 0.5}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}, {'shapes': 128, 'drop': 0.5}]
0 1.31389018297 1.37738966942 saving model
1 1.23296604156 1.25298166275 saving model
2 1.06544613838 1.14215672016 saving model
3 0.982620871067 1.11140418053 saving model
4 0.917209196091 1.08250033855 saving model
5 0.860672593117 1.0680757761 saving model
6 0.809977531433 1.02896261215 saving model
7 0.787442582846 1.02947795391
8 0.735544544458 1.04885280132
9 0.742017114162 1.01078426838 saving model
10 0.670372027159 1.01080203056
11 0.653810214996 1.00006127357 saving model
12 0.620832294226 1.02175498009
13 0.589764922857 1.00708734989
14 0.583745276928 1.02015590668
15 0.53923176825 1.0218385458
16 0.503436043859 1.01164770126
17 0.504143491387 1.02225601673
18 0.493999540806 1.01990354061
19 0.506692296267 1.04626083374
20 0.506661224365 1.09799909592
21 0.592864650488 1.04221475124
22 0.674256712198 1.11244595051
23 0.568918052316 1.03539383411
24 0.505339449644 1.00463044643
25 0.442807838321 1.0424015522
26 0.42490965426 1.03478765488
27 0.400451889634 1.03882777691
28 0.392493337393 1.04083883762
29 0.398187229037 1.02581989765
30 0.38312921524 0.9859328866 saving model
31 0.366745358706 1.02873325348
32 0.367954677343 0.99501734972
33 0.408570554852 1.06185019016
34 0.384171190858 1.06151068211
35 0.360671874881 1.05075454712
36 0.369255933166 1.01826179028
37 0.33452565968 1.03366982937
38 0.32450569272 1.0203974247
39 0.332499614358 1.03143835068
40 0.338929983974 1.05086398125
41 0.325530746579 1.01472198963
42 0.297057634592 0.998329281807
43 0.301360455155 1.01528358459
44 0.286690509319 1.02150678635
45 0.305746260285 1.01811957359
46 0.285102339089 1.01532196999
47 0.275197795033 1.02464449406
48 0.264964678884 1.00711774826
49 0.258667573333 0.977100968361 saving model
model number is: 1042
mae:  1.0760524704
corr:  0.575594667417
mult_acc:  0.29883
mult f_score:  0.30971
Confusion Matrix :
[[289  90]
 [ 96 211]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75065   0.76253   0.75654       379
        True    0.70100   0.68730   0.69408       307

   micro avg    0.72886   0.72886   0.72886       686
   macro avg    0.72582   0.72491   0.72531       686
weighted avg    0.72843   0.72886   0.72859       686

Accuracy  0.728862973761
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 400, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [32, 8, 32], 'momentum': 0.5}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}, {'shapes': 32, 'drop': 0.7}]
0 1.31394995451 1.37552368641 saving model
1 1.21610937119 1.2300620079 saving model
2 1.10693757534 1.11924827099 saving model
3 1.01095616221 1.06910455227 saving model
4 0.95260181427 1.05627405643 saving model
5 0.907503068447 1.07348489761
6 0.884405791759 1.02417469025 saving model
7 0.852308887243 1.06656897068
8 0.798236995935 1.02685987949
9 0.779438489676 1.01227521896 saving model
10 0.780219995975 1.02108407021
11 0.713590240479 0.997175574303 saving model
12 0.716863876581 1.00120580196
13 0.674289602041 1.02347505093
14 0.696071845293 1.03217923641
15 0.704021251202 1.0194760561
16 0.679135096073 1.03438413143
17 0.694522923231 1.11801552773
18 0.776080077887 1.00258719921
19 0.709577745199 1.02403104305
20 0.591865062714 0.978364944458 saving model
21 0.569987004995 1.02429866791
22 0.58764846921 1.02302575111
23 0.565392309427 1.00259923935
24 0.582715284824 1.03853607178
25 0.554241275787 1.03300487995
26 0.554858452082 1.02264642715
27 0.558768385649 1.02634906769
28 0.567409700155 0.993121922016
29 0.560029351711 1.02600538731
30 0.530310210586 0.996520876884
31 0.559090936184 1.00728595257
32 0.517585033178 0.983891010284
33 0.507236975431 1.01392781734
34 0.495200943947 0.984221220016
35 0.497958925366 0.991157472134
36 0.494353508949 1.00599420071
37 0.490426337719 0.987625598907
38 0.470468866825 0.996602833271
39 0.481365659833 0.98906058073
40 0.465211606026 0.990671992302
41 0.468660628796 0.988031685352
42 0.474804529548 0.999169290066
43 0.471288403869 0.9756321311 saving model
44 0.45337112546 0.99005573988
45 0.44999435246 0.983189105988
46 0.458101823926 0.994857847691
47 0.443583020568 0.988784432411
48 0.45448462069 0.993483543396
49 0.459661689401 0.987983524799
model number is: 93257
mae:  1.00115303825
corr:  0.619812083206
mult_acc:  0.30904
mult f_score:  0.32563
Confusion Matrix :
[[290  89]
 [ 82 225]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77957   0.76517   0.77230       379
        True    0.71656   0.73290   0.72464       307

   micro avg    0.75073   0.75073   0.75073       686
   macro avg    0.74807   0.74904   0.74847       686
weighted avg    0.75137   0.75073   0.75097       686

Accuracy  0.750728862974
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 64, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [256, 80, 8], 'momentum': 0.3}, {'shapes': 32, 'drop': 0.2}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.0}]
0 1.32370028496 1.37141120434 saving model
1 1.23876025677 1.22103500366 saving model
2 1.09228965044 1.16258907318 saving model
3 0.991186654568 1.1700347662
4 0.940381574631 1.1267888546 saving model
5 0.885044515133 1.07112503052 saving model
6 0.825678265095 1.03839993477 saving model
7 0.779554915428 1.04341757298
8 0.728417408466 1.02185487747 saving model
9 0.689605653286 1.01523375511 saving model
10 0.653865301609 1.00298774242 saving model
11 0.63749319315 1.02363145351
12 0.605706977844 1.03964293003
13 0.67963322401 1.01797628403
14 0.704046452045 1.01547718048
15 0.571732449532 1.00179135799 saving model
16 0.588696086407 1.04990708828
17 0.542985135317 1.01875603199
18 0.503042387962 0.994361400604 saving model
19 0.458183181286 0.970356702805 saving model
20 0.424535137415 0.995001971722
21 0.387799549103 0.971723675728
22 0.358833938837 0.996626079082
23 0.328183364868 0.986212134361
24 0.314901173115 0.992684960365
25 0.312658435106 0.994809508324
26 0.310032641888 1.0219835043
27 0.353813254833 1.00809204578
28 0.36917566061 1.05493974686
29 0.345701354742 0.99074190855
30 0.284903049469 1.00107169151
31 0.255822584033 1.02571845055
32 0.234568569064 0.982425332069
33 0.213595330715 0.986036300659
34 0.201820471883 0.997147858143
35 0.198317456245 1.02547693253
36 0.224171242118 0.996968209743
37 0.204222327471 0.980835318565
38 0.173061561584 0.991594552994
39 0.166142892838 1.02582097054
40 0.163329511881 1.02229583263
41 0.178904023767 0.992115318775
42 0.194789999723 0.99903768301
43 0.191696023941 1.01733207703
44 0.158943524957 1.00569438934
45 0.150142140687 0.983538091183
46 0.154987731576 1.01065921783
47 0.140906774998 1.01474106312
48 0.134608766437 0.999955952168
49 0.13577375561 0.991661012173
model number is: 32665
mae:  0.999736003832
corr:  0.625259706827
mult_acc:  0.33382
mult f_score:  0.34385
Confusion Matrix :
[[306  73]
 [100 207]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75369   0.80739   0.77962       379
        True    0.73929   0.67427   0.70528       307

   micro avg    0.74781   0.74781   0.74781       686
   macro avg    0.74649   0.74083   0.74245       686
weighted avg    0.74725   0.74781   0.74635       686

Accuracy  0.747813411079
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 64, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [64, 64, 16], 'momentum': 0.1}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.5}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.2}, {'shapes': 64, 'drop': 0.5}]
0 1.27224874496 1.43936610222 saving model
1 1.15284688771 1.13569271564 saving model
2 0.927487254143 1.03271853924 saving model
3 0.799625635147 1.01738023758 saving model
4 0.728902202845 0.995961487293 saving model
5 0.665663576126 1.01799380779
6 0.628177809715 1.01542675495
7 0.646721920371 1.10674905777
8 0.598531900346 0.972327232361 saving model
9 0.542593117058 0.96395689249 saving model
10 0.512615610659 0.984646618366
11 0.472427736223 1.0358684063
12 0.504347386956 0.96570789814
13 0.473217079043 0.982250273228
14 0.433093041182 0.968453526497
15 0.404878948629 0.99632281065
16 0.424481256306 0.977325439453
17 0.401027952135 0.975092709064
18 0.389029422402 0.985607206821
19 0.386287617683 0.990009665489
20 0.415939003229 0.979525029659
21 0.359037581086 0.989539146423
22 0.388061203063 1.03399658203
23 0.399134755135 1.03009271622
24 0.408053418994 1.0333006382
25 0.425132587552 1.02784883976
26 0.448587419093 1.05138504505
27 0.457592266798 0.990579783916
28 0.426514871418 1.04313778877
29 0.43745624423 0.995423674583
30 0.400204876065 0.949993133545 saving model
31 0.383090695739 0.959423363209
32 0.338831986487 0.992910087109
33 0.326335696876 0.996146500111
34 0.332282567024 0.967154145241
35 0.332828448713 0.965992927551
36 0.360288503766 0.963829636574
37 0.354528912902 1.00052809715
38 0.382102864981 0.963043034077
39 0.374669495225 0.967523396015
40 0.366272245347 0.993579387665
41 0.34754550904 0.982441067696
42 0.318397967517 1.00752019882
43 0.347190400958 0.994717001915
44 0.340890416503 0.972499787807
45 0.307182012498 0.992378473282
46 0.348792332411 0.988592684269
47 0.365499225259 0.972238719463
48 0.32309410274 0.973558425903
49 0.318624252081 1.01868331432
model number is: 82566
mae:  1.03580348209
corr:  0.603588509279
mult_acc:  0.31924
mult f_score:  0.32493
Confusion Matrix :
[[277 102]
 [ 81 226]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77374   0.73087   0.75170       379
        True    0.68902   0.73616   0.71181       307

   micro avg    0.73324   0.73324   0.73324       686
   macro avg    0.73138   0.73351   0.73175       686
weighted avg    0.73583   0.73324   0.73385       686

Accuracy  0.733236151603
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 256, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [128, 16, 64], 'momentum': 0.6}, {'shapes': 128, 'drop': 0.2}, {'shapes': 64, 'drop': 0.2}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}]
0 1.17338334024 1.13454258442 saving model
1 0.908248049021 1.02754259109 saving model
2 0.844056934118 0.968982517719 saving model
3 0.74751470089 0.974482655525
4 0.727928504348 1.03177654743
5 0.678226236999 0.996196091175
6 0.602191977203 1.01935696602
7 0.58466052264 1.02862989902
8 0.589309240878 1.06852340698
9 0.651922942698 1.00352263451
10 0.502341166139 1.0002644062
11 0.443981017172 1.02939093113
12 0.392292776704 1.05987632275
13 0.39559482038 1.04281878471
14 0.375197485089 1.06899702549
15 0.375507712364 1.02801048756
16 0.373675976694 1.09486484528
17 0.340058682859 1.08507072926
18 0.313626906276 1.06604444981
19 0.300945240259 1.06824541092
20 0.304448659718 1.08388102055
21 0.326033873856 1.09773504734
22 0.352332013845 1.06359982491
23 0.405960030854 1.13949680328
24 0.417763444781 1.08558571339
25 0.353296814859 1.11980116367
26 0.356727387011 1.08056843281
27 0.417158079147 1.08702623844
28 0.412112125754 1.07066011429
29 0.388185214996 1.10941886902
30 0.341524722427 1.02033138275
31 0.287592249364 1.04309511185
32 0.292631800473 1.0411593914
33 0.309378653765 1.03276216984
34 0.228916647285 1.00773584843
35 0.186620805413 1.03772735596
36 0.16726469025 1.00881516933
37 0.156101602316 1.01903879642
38 0.148648595437 1.0296061039
39 0.15142583847 1.03049707413
40 0.185813254118 1.01795697212
41 0.237994763255 1.03737306595
42 0.251931444556 1.03142130375
43 0.201298646629 1.05019676685
44 0.168646745384 1.05791568756
45 0.161263951659 1.01999998093
46 0.176677816361 1.04421532154
47 0.251283219457 1.13802349567
48 0.368370119482 1.0510007143
49 0.30831386894 1.00674390793
model number is: 87475
mae:  1.06031009085
corr:  0.609146540428
mult_acc:  0.30175
mult f_score:  0.31821
Confusion Matrix :
[[281  98]
 [ 94 213]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74933   0.74142   0.74536       379
        True    0.68489   0.69381   0.68932       307

   micro avg    0.72012   0.72012   0.72012       686
   macro avg    0.71711   0.71762   0.71734       686
weighted avg    0.72049   0.72012   0.72028       686

Accuracy  0.720116618076
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 64, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [256, 32, 48], 'momentum': 0.5}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.7}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}]
0 1.25657707453 1.16116285324 saving model
1 1.06063210964 1.21321225166
2 0.971824288368 1.08638048172 saving model
3 0.886853557825 1.06327569485 saving model
4 0.83270996213 1.02277815342 saving model
5 0.749778622389 0.9904255867 saving model
6 0.682261794806 0.992212414742
7 0.632261937857 1.00590205193
8 0.615914309025 1.03039598465
9 0.591569828987 1.0124809742
10 0.576281774044 1.09138894081
11 0.528781506419 1.006513834
12 0.463668823242 1.07252967358
13 0.42629994154 1.10496652126
14 0.444115418196 1.12648034096
15 0.52586658597 1.08863973618
16 0.513033369184 1.12189149857
17 0.601728659868 1.02888643742
18 0.520858773589 1.10991251469
19 0.479394373298 1.03669774532
20 0.369040834904 1.00907742977
21 0.302914616466 0.985659003258 saving model
22 0.276444497705 1.01285433769
23 0.285590776801 1.02052795887
24 0.346778920293 1.00978577137
25 0.340827018023 1.01456618309
26 0.353407159448 1.10076105595
27 0.366293251514 1.04364776611
28 0.285951030254 1.0125721693
29 0.253753730655 0.990502893925
30 0.238683283329 0.998162388802
31 0.264267489314 1.03148841858
32 0.293557365239 1.04532909393
33 0.341643685102 1.03195464611
34 0.278590083122 1.00829088688
35 0.257467751205 1.00776517391
36 0.240002198517 0.995423614979
37 0.251339389384 1.02927517891
38 0.259100389481 1.01870131493
39 0.26019962877 1.04388439655
40 0.214898566902 0.97994440794 saving model
41 0.214889298379 1.00019133091
42 0.207094825804 1.01262819767
43 0.22500886023 1.01951158047
44 0.208447703719 1.00179862976
45 0.179030056298 1.00231266022
46 0.177410450578 1.00212275982
47 0.184527955949 1.02574980259
48 0.223707939684 1.02724850178
49 0.185383246839 1.00668311119
model number is: 78621
mae:  1.11069044353
corr:  0.568496019935
mult_acc:  0.29155
mult f_score:  0.29306
Confusion Matrix :
[[262 117]
 [ 89 218]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74644   0.69129   0.71781       379
        True    0.65075   0.71010   0.67913       307

   micro avg    0.69971   0.69971   0.69971       686
   macro avg    0.69859   0.70070   0.69847       686
weighted avg    0.70361   0.69971   0.70050       686

Accuracy  0.69970845481
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 300, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [88, 8, 48], 'momentum': 0.9}, {'shapes': 64, 'drop': 0.2}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.2}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.5}]
0 1.30006837845 1.30203378201 saving model
1 1.12884066105 1.10332596302 saving model
2 0.993448364735 1.15634381771
3 0.952048933506 1.10825443268
4 0.858877933025 1.07069993019 saving model
5 0.81220767498 1.02936601639 saving model
6 0.768241500854 1.04507911205
7 0.761319494247 1.07171297073
8 0.785687410831 1.00248980522 saving model
9 0.745013451576 1.07900357246
10 0.736115908623 1.04699730873
11 0.64297721386 1.00204944611 saving model
12 0.615761005878 1.02164876461
13 0.594408857822 1.00425052643
14 0.546870243549 1.00530183315
15 0.521522593498 1.01983487606
16 0.529054665565 0.985881268978 saving model
17 0.473743319511 0.971939504147 saving model
18 0.454144436121 0.990990519524
19 0.429399681091 0.999222695827
20 0.419901764393 0.995426356792
21 0.394208627939 1.00966703892
22 0.401744031906 0.97805839777
23 0.374771481752 0.989655196667
24 0.375046467781 0.988390803337
25 0.342562657595 0.993660986423
26 0.316884148121 0.99554592371
27 0.317925256491 0.984185636044
28 0.306471627951 0.97999048233
29 0.307526218891 0.980760753155
30 0.306275898218 0.98660582304
31 0.304851597548 1.00422346592
32 0.324454307556 0.988711118698
33 0.296208488941 0.996749818325
34 0.28822209239 0.973898530006
35 0.280589187145 0.998377382755
36 0.295300090313 0.992643117905
37 0.265172028542 0.985852122307
38 0.251246869564 0.99058419466
39 0.267788338661 0.969509482384 saving model
40 0.265008115768 0.989938139915
41 0.259998708963 1.00401580334
42 0.254447972775 0.982598721981
43 0.242247971892 0.999208271503
44 0.238472384214 0.976362884045
45 0.232735458016 0.961849451065 saving model
46 0.230695974827 0.979794323444
47 0.231574866176 0.957763075829 saving model
48 0.228614601493 0.963482439518
49 0.239662405849 0.972386598587
model number is: 11693
mae:  1.05056809603
corr:  0.592199770246
mult_acc:  0.31778
mult f_score:  0.3264
Confusion Matrix :
[[268 111]
 [ 84 223]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76136   0.70712   0.73324       379
        True    0.66766   0.72638   0.69579       307

   micro avg    0.71574   0.71574   0.71574       686
   macro avg    0.71451   0.71675   0.71451       686
weighted avg    0.71943   0.71574   0.71648       686

Accuracy  0.715743440233
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 300, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [64, 64, 16], 'momentum': 0.1}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}, {'shapes': 64, 'drop': 0.2}, {'shapes': 256, 'drop': 0.2}, {'shapes': 256, 'drop': 0.5}]
0 1.31051777601 1.37097811699 saving model
1 1.15073546171 1.12844526768 saving model
2 0.953959220648 1.10973095894 saving model
3 0.884876471758 1.03687334061 saving model
4 0.847626584768 1.02857625484 saving model
5 0.765284979343 0.981584250927 saving model
6 0.719701713324 1.01657903194
7 0.688202995062 0.964651048183 saving model
8 0.672927856445 1.06718158722
9 0.64747299552 1.03551828861
10 0.606407892704 1.02127051353
11 0.584556275606 1.08088433743
12 0.63153693974 1.0964179039
13 0.695033955574 1.04922115803
14 0.749354469776 1.05921816826
15 0.615687528253 0.973681390285
16 0.557184690237 0.99942868948
17 0.548046129942 1.00514924526
18 0.5402092278 1.02506709099
19 0.522364032269 0.988349199295
20 0.4455765903 0.989983439445
21 0.40578032732 0.980582237244
22 0.391591635346 1.01520037651
23 0.398962649703 0.99224960804
24 0.484659281373 1.01058137417
25 0.471780124307 1.04928028584
26 0.458254674077 1.02795481682
27 0.389444836974 0.992918610573
28 0.31965367496 1.0130623579
29 0.331380814314 0.997874319553
30 0.338727593422 1.015822649
31 0.327840876579 1.02102315426
32 0.335298448801 1.02578723431
33 0.374251917005 1.03031730652
34 0.343580031395 1.030559659
35 0.338118669391 0.972258925438
36 0.31408213973 0.99707442522
37 0.296118879318 1.01808440685
38 0.294348785281 1.00841939449
39 0.271594333649 1.02959513664
40 0.288248190284 0.978057444096
41 0.274574482441 1.00964164734
42 0.25345929414 1.02006351948
43 0.251379472017 1.02892303467
44 0.263421303034 1.00496172905
45 0.236261630058 0.985853016376
46 0.250071054697 0.994511544704
47 0.2597157076 1.01795053482
48 0.267366369069 1.02578902245
49 0.258006688952 0.998664498329
model number is: 53534
mae:  1.01836876899
corr:  0.623214202852
mult_acc:  0.32216
mult f_score:  0.34223
Confusion Matrix :
[[292  87]
 [ 88 219]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76842   0.77045   0.76943       379
        True    0.71569   0.71336   0.71452       307

   micro avg    0.74490   0.74490   0.74490       686
   macro avg    0.74205   0.74190   0.74198       686
weighted avg    0.74482   0.74490   0.74486       686

Accuracy  0.744897959184
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 300, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [156, 80, 48], 'momentum': 0.8}, {'shapes': 128, 'drop': 0.2}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}]
0 1.25947976708 1.20981752872 saving model
1 1.04008176923 1.12531971931 saving model
2 0.869587674737 0.993402898312 saving model
3 0.726123979688 0.960345685482 saving model
4 0.631531429291 1.00199782848
5 0.576638862491 0.937566578388 saving model
6 0.551512411237 0.936597883701 saving model
7 0.536197023094 0.943670034409
8 0.484284566343 1.00173246861
9 0.475165700912 1.0034224987
10 0.53135934025 1.0099490881
11 0.481968383491 0.942012190819
12 0.372796158493 0.966383874416
13 0.383418181539 0.949962615967
14 0.355532053858 0.959499597549
15 0.340553880483 0.965756833553
16 0.337008884549 0.990373015404
17 0.32462367937 0.95429033041
18 0.321702483296 0.972881495953
19 0.319590730965 0.994029343128
20 0.281953150034 0.962194859982
21 0.29622130394 0.990754187107
22 0.302928204089 0.982461333275
23 0.311004804075 1.01302182674
24 0.337945064157 1.04852700233
25 0.395260576904 1.0785882473
26 0.397624269128 1.0830321312
27 0.437611436844 1.08637452126
28 0.434904691577 0.995324611664
29 0.414782731235 1.03395438194
30 0.453422656655 1.07596838474
31 0.513569779694 1.19033181667
32 0.507447808981 1.04992711544
33 0.396133358777 1.03410029411
34 0.316690297425 1.00595617294
35 0.284065848589 0.987237811089
36 0.281582459062 0.987674772739
37 0.264121655375 0.992229878902
38 0.261046220362 0.97365295887
39 0.325916591287 0.96286636591
40 0.320450972021 0.995848417282
41 0.340310775489 0.952365219593
42 0.298219782859 0.983432292938
43 0.258798733354 0.989442646503
44 0.279565713555 0.987933754921
45 0.293321251124 0.964707136154
46 0.306091056019 0.981573700905
47 0.271509114653 0.946275353432
48 0.231870414317 0.971661984921
49 0.228224083036 0.966995000839
model number is: 8997
mae:  1.04685132267
corr:  0.589190983937
mult_acc:  0.30321
mult f_score:  0.31585
Confusion Matrix :
[[301  78]
 [116 191]]
Classification Report :
              precision    recall  f1-score   support

       False    0.72182   0.79420   0.75628       379
        True    0.71004   0.62215   0.66319       307

   micro avg    0.71720   0.71720   0.71720       686
   macro avg    0.71593   0.70817   0.70974       686
weighted avg    0.71655   0.71720   0.71462       686

Accuracy  0.717201166181
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 64, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [256, 48, 64], 'momentum': 0.9}, {'shapes': 128, 'drop': 0.2}, {'shapes': 128, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}, {'shapes': 128, 'drop': 0.2}]
0 1.27679584026 1.22274005413 saving model
1 1.05447062254 1.13336229324 saving model
2 0.936585509777 1.13587629795
3 0.822947788239 1.03287768364 saving model
4 0.730412811041 0.99544107914 saving model
5 0.689501994848 0.997575759888
6 0.643811672926 0.958737373352 saving model
7 0.608358442783 0.959291934967
8 0.56437767446 1.00245285034
9 0.533775189519 1.03455412388
10 0.502247086167 1.00316572189
11 0.505047935247 0.941802024841 saving model
12 0.482293540239 1.02286374569
13 0.463900026679 0.982580065727
14 0.498171904683 1.01600039005
15 0.556747254729 1.21301877499
16 0.623668172956 0.981606304646
17 0.497639456391 0.997108161449
18 0.400551262498 0.962316393852
19 0.386384341121 0.97221070528
20 0.385475769639 0.991843700409
21 0.450540798903 0.994227766991
22 0.45469121933 1.01909768581
23 0.369991195202 0.958165884018
24 0.331084170938 0.956065058708
25 0.322911560535 1.00139069557
26 0.376749128103 0.939641714096 saving model
27 0.348066362739 1.00110650063
28 0.360280555487 0.963030576706
29 0.32376294136 0.981069624424
30 0.299654576182 0.946282923222
31 0.299425107241 0.966566622257
32 0.276930959523 0.974414169788
33 0.272515150905 0.968939244747
34 0.30200547576 0.954100847244
35 0.28776960969 0.925828158855 saving model
36 0.280859158933 0.934340059757
37 0.275166480243 0.980118811131
38 0.279440025985 0.971576988697
39 0.23487662375 0.976084053516
40 0.237519171834 0.963494777679
41 0.253212761879 0.970213830471
42 0.225458396971 0.961201190948
43 0.23648173064 0.950065910816
44 0.228303383291 0.958201467991
45 0.248569890857 0.952381134033
46 0.234351722896 0.974522411823
47 0.263902580738 0.941211283207
48 0.257399369776 0.964390873909
49 0.254078069329 0.954685330391
model number is: 17250
mae:  1.05345959147
corr:  0.579605799876
mult_acc:  0.33965
mult f_score:  0.34861
Confusion Matrix :
[[291  88]
 [103 204]]
Classification Report :
              precision    recall  f1-score   support

       False    0.73858   0.76781   0.75291       379
        True    0.69863   0.66450   0.68114       307

   micro avg    0.72157   0.72157   0.72157       686
   macro avg    0.71860   0.71615   0.71702       686
weighted avg    0.72070   0.72157   0.72079       686

Accuracy  0.721574344023
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [88, 32, 48], 'momentum': 0.8}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.0}, {'shapes': 32, 'drop': 0.5}]
0 1.27532926798 1.21919775009 saving model
1 1.07609759271 1.10641252995 saving model
2 0.930553379655 1.01366233826 saving model
3 0.857096242905 0.997470617294 saving model
4 0.767086657882 0.908418357372 saving model
5 0.704489660263 0.934387147427
6 0.68067343533 0.943460166454
7 0.642917847633 0.9520829916
8 0.620181547105 0.942353367805
9 0.603753735125 0.958953857422
10 0.591229593754 0.942085206509
11 0.554636897147 0.942326962948
12 0.531211011112 0.92914134264
13 0.476627415419 0.953222811222
14 0.481468361616 0.944946229458
15 0.470805558562 0.920351147652
16 0.458155407012 0.942736148834
17 0.479738423228 0.908171713352 saving model
18 0.457506856322 0.954630315304
19 0.420990203321 0.930773079395
20 0.425503006577 0.909980177879
21 0.423159430921 0.911828279495
22 0.432878030837 0.910402238369
23 0.425546166301 0.892791092396 saving model
24 0.406987310946 0.911611378193
25 0.42378423661 0.935378789902
26 0.395287130773 0.949016213417
27 0.403982824087 0.938440799713
28 0.405154596269 0.960571229458
29 0.403576534986 0.956897497177
30 0.393086381257 0.939056575298
31 0.457661011815 0.93180835247
32 0.466082014143 0.951767444611
33 0.457317437232 0.970096230507
34 0.516072708368 0.917890250683
35 0.461013378203 0.921740114689
36 0.407960377634 0.928616881371
37 0.383266170323 0.928767323494
38 0.358495180309 0.932670652866
39 0.372655749321 0.924248039722
40 0.387010207772 0.937175035477
41 0.378395785391 0.918236732483
42 0.366050954163 0.965025246143
43 0.375038154423 0.919159948826
44 0.368987262249 0.915103852749
45 0.378284090757 0.92630302906
46 0.397338150442 0.927781283855
47 0.393174113333 0.925674319267
48 0.402266581357 0.942787647247
49 0.394003559649 0.963393747807
model number is: 3826
mae:  1.07123489556
corr:  0.601082968523
mult_acc:  0.30175
mult f_score:  0.32362
Confusion Matrix :
[[254 125]
 [ 73 234]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77676   0.67018   0.71955       379
        True    0.65181   0.76221   0.70270       307

   micro avg    0.71137   0.71137   0.71137       686
   macro avg    0.71428   0.71620   0.71112       686
weighted avg    0.72084   0.71137   0.71201       686

Accuracy  0.711370262391
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [128, 32, 32], 'momentum': 0.1}, {'shapes': 128, 'drop': 0.0}, {'shapes': 128, 'drop': 0.2}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.2}, {'shapes': 64, 'drop': 0.5}]
0 1.26895475388 1.23855161667 saving model
1 1.11494898796 1.18893575668 saving model
2 0.958237916231 1.05180430412 saving model
3 0.855539429188 0.988812625408 saving model
4 0.751313197613 0.957911252975 saving model
5 0.691394805908 0.932363331318 saving model
6 0.638409972191 0.940943539143
7 0.572118127346 0.939768314362
8 0.549972340465 0.936703264713
9 0.523430678248 0.943158209324
10 0.494225722551 0.939687907696
11 0.475881701708 0.923626601696 saving model
12 0.474366316199 1.00232183933
13 0.519615882635 0.972332537174
14 0.59323952198 0.995324671268
15 0.617399647832 0.959277808666
16 0.567555603385 0.913757264614 saving model
17 0.455180072784 0.914931774139
18 0.417482292652 0.923136234283
19 0.410290643573 0.918325901031
20 0.401164287329 0.924693882465
21 0.449923691154 0.946539342403
22 0.434507733583 0.998791396618
23 0.40268407166 0.918024718761
24 0.360536456108 0.938248932362
25 0.376699712873 0.906262040138 saving model
26 0.352345687151 0.900978207588 saving model
27 0.331529420614 0.930684924126
28 0.346809244156 0.945951759815
29 0.366388595104 0.917520701885
30 0.343489417434 0.901191651821
31 0.352001452446 0.939453303814
32 0.32952156961 0.958837091923
33 0.321942722797 0.93499737978
34 0.318095645308 0.901608109474
35 0.323065599799 0.917984724045
36 0.311169371009 0.926203846931
37 0.292302423716 0.908306002617
38 0.300916698575 0.918733000755
39 0.302016299963 0.913633942604
40 0.296951290965 0.900116145611 saving model
41 0.300218275189 0.914789795876
42 0.315261757374 0.887685716152 saving model
43 0.313681507111 0.89663630724
44 0.300781655312 0.92428612709
45 0.316810917854 0.939117968082
46 0.298227027059 0.899779081345
47 0.282677482069 0.907441675663
48 0.28053111434 0.905928790569
49 0.277251920104 0.922476947308
model number is: 27787
mae:  1.07399411117
corr:  0.581161547534
mult_acc:  0.30904
mult f_score:  0.31423
Confusion Matrix :
[[275 104]
 [ 82 225]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77031   0.72559   0.74728       379
        True    0.68389   0.73290   0.70755       307

   micro avg    0.72886   0.72886   0.72886       686
   macro avg    0.72710   0.72925   0.72741       686
weighted avg    0.73163   0.72886   0.72950       686

Accuracy  0.728862973761
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [156, 80, 80], 'momentum': 0.5}, {'shapes': 64, 'drop': 0.5}, {'shapes': 32, 'drop': 0.2}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.5}]
0 1.33927016258 1.38609552383 saving model
1 1.19481134415 1.1956166029 saving model
2 1.07415959835 1.16810667515 saving model
3 1.01158087254 1.08298432827 saving model
4 0.896015322208 1.04642629623 saving model
5 0.851015138626 1.02653443813 saving model
6 0.789113974571 0.966364860535 saving model
7 0.755854463577 0.955485224724 saving model
8 0.753824400902 0.961674511433
9 0.702004122734 0.932256281376 saving model
10 0.645189249516 0.934883892536
11 0.588832700253 0.952875256538
12 0.604555928707 0.950910031796
13 0.578407764435 0.910613000393 saving model
14 0.514552408457 0.926954984665
15 0.506392276287 0.897717058659 saving model
16 0.477166438103 0.934303998947
17 0.489032453299 0.895824074745 saving model
18 0.455358368158 0.92893666029
19 0.46380956769 0.912476599216
20 0.440804845095 0.948147416115
21 0.442513751984 0.921036243439
22 0.401558709145 0.935066342354
23 0.38238260746 0.951054751873
24 0.371733081341 0.93260294199
25 0.371135538816 0.9361140728
26 0.380569201708 0.935521304607
27 0.373259580135 0.919367313385
28 0.370102024078 0.944781422615
29 0.383994030952 0.95130443573
30 0.376909214258 0.917430639267
31 0.361727553606 0.946843087673
32 0.36161506772 0.930832087994
33 0.349288064241 0.925505280495
34 0.340134137869 0.910007953644
35 0.337993377447 0.929573774338
36 0.334891170263 0.935432195663
37 0.334265619516 0.911767363548
38 0.338325822353 0.922335147858
39 0.327332925797 0.933524310589
40 0.327707666159 0.932298123837
41 0.33137126565 0.917132019997
42 0.338981670141 0.950624704361
43 0.3303560853 0.934029221535
44 0.322711056471 0.908316195011
45 0.324922323227 0.910221040249
46 0.319085425138 0.926318943501
47 0.315667724609 0.915865898132
48 0.321970742941 0.923515558243
49 0.328304505348 0.906396985054
model number is: 59250
mae:  1.05074438515
corr:  0.595059035668
mult_acc:  0.30612
mult f_score:  0.31565
Confusion Matrix :
[[271 108]
 [ 83 224]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76554   0.71504   0.73943       379
        True    0.67470   0.72964   0.70110       307

   micro avg    0.72157   0.72157   0.72157       686
   macro avg    0.72012   0.72234   0.72026       686
weighted avg    0.72488   0.72157   0.72227       686

Accuracy  0.721574344023
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 256, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [256, 16, 80], 'momentum': 0.3}, {'shapes': 32, 'drop': 0.2}, {'shapes': 128, 'drop': 0.5}, {'shapes': 128, 'drop': 0.0}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.2}]
0 1.25656744242 1.16652572155 saving model
1 1.06682954431 1.1836758852
2 0.963879603148 1.1366147995 saving model
3 0.860443711281 1.0583050251 saving model
4 0.808894830942 1.01308822632 saving model
5 0.755143672228 1.00366902351 saving model
6 0.715491610765 1.09747850895
7 0.691299122572 1.02236902714
8 0.63045604825 1.0263774395
9 0.590466278791 0.990416884422 saving model
10 0.56915730834 1.0435321331
11 0.552521663904 1.05204105377
12 0.513275900483 1.02066528797
13 0.477841034532 1.0270485878
14 0.472313779593 1.07679617405
15 0.45221336484 1.15029895306
16 0.435605189204 1.04323399067
17 0.399923625588 1.10609984398
18 0.373052293062 1.1042495966
19 0.389252695441 1.06029844284
20 0.51401501596 1.10085713863
21 0.568917611241 1.12590229511
22 0.564643621445 1.06083881855
23 0.498860377073 1.00190043449
24 0.348315992951 0.968609035015 saving model
25 0.303726878762 1.00702917576
26 0.278007368743 1.01549744606
27 0.260083577037 1.0247746706
28 0.300108760595 1.04446256161
29 0.333595514297 1.00184893608
30 0.352658620477 1.02655911446
31 0.306000608206 1.05661690235
32 0.312295883894 1.02654004097
33 0.299836543202 1.06166791916
34 0.315022870898 1.05502009392
35 0.308815219998 1.03324973583
36 0.265214906633 1.03836858273
37 0.274601367116 1.02578961849
38 0.257165516913 1.03776288033
39 0.257029186189 1.02672624588
40 0.237122938037 1.03348505497
41 0.267240917683 1.01964056492
42 0.23864390254 1.03061187267
43 0.223129032552 1.02937340736
44 0.205223929882 1.0058567524
45 0.207972277701 1.01480150223
46 0.193992786109 1.0098862648
47 0.187645825744 1.02226412296
48 0.199517206848 1.02389419079
49 0.199243593216 1.02217411995
model number is: 94201
mae:  1.07327147467
corr:  0.572272686911
mult_acc:  0.3105
mult f_score:  0.31983
Confusion Matrix :
[[283  96]
 [ 91 216]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75668   0.74670   0.75166       379
        True    0.69231   0.70358   0.69790       307

   micro avg    0.72741   0.72741   0.72741       686
   macro avg    0.72450   0.72514   0.72478       686
weighted avg    0.72787   0.72741   0.72760       686

Accuracy  0.727405247813
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 400, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [88, 48, 80], 'momentum': 0.3}, {'shapes': 128, 'drop': 0.2}, {'shapes': 32, 'drop': 0.2}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.0}]
0 1.30268776417 1.27200686932 saving model
1 1.1114522934 1.16222262383 saving model
2 0.975948274136 1.14712381363 saving model
3 0.946909928322 1.06191039085 saving model
4 0.887547135353 1.06290984154
5 0.814270853996 1.00758802891 saving model
6 0.75086864233 0.979437291622 saving model
7 0.724850749969 0.963644564152 saving model
8 0.684046804905 0.990377783775
9 0.655082392693 0.962690472603 saving model
10 0.62848610878 0.961098074913 saving model
11 0.602917045355 0.944995224476 saving model
12 0.550369721651 0.958433568478
13 0.475791430473 0.959618091583
14 0.458852028847 0.949968755245
15 0.425253939629 0.967804670334
16 0.478010612726 0.955178499222
17 0.489262014627 0.971318125725
18 0.386055189371 0.938382744789 saving model
19 0.33704624176 0.946545660496
20 0.328514063358 0.931856334209 saving model
21 0.355189269781 0.950268864632
22 0.335893601179 0.922970354557 saving model
23 0.294294649363 0.953258931637
24 0.289917856455 0.926053404808
25 0.274386590719 0.946593344212
26 0.300912284851 0.946539342403
27 0.26008695364 0.933439493179
28 0.236292421818 0.920066356659 saving model
29 0.23309135139 0.934939205647
30 0.198227360845 0.941850304604
31 0.229872921109 0.930905520916
32 0.220116788149 0.952658355236
33 0.242231458426 0.939552664757
34 0.185412767529 0.932427287102
35 0.186499816179 0.927366673946
36 0.175453773141 0.961362957954
37 0.223060902953 0.921654462814
38 0.181205374002 0.929011106491
39 0.152294689417 0.939880907536
40 0.152429813147 0.939909875393
41 0.183533522487 0.922839224339
42 0.194944998622 0.933318972588
43 0.147595229745 0.930362999439
44 0.136380171776 0.933277368546
45 0.145860344172 0.926469147205
46 0.143332707882 0.950111746788
47 0.172163112462 0.926576733589
48 0.14190685153 0.95651191473
49 0.155855131149 0.936288416386
model number is: 64486
mae:  1.05741855042
corr:  0.587083972115
mult_acc:  0.30029
mult f_score:  0.3059
Confusion Matrix :
[[283  96]
 [ 94 213]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75066   0.74670   0.74868       379
        True    0.68932   0.69381   0.69156       307

   micro avg    0.72303   0.72303   0.72303       686
   macro avg    0.71999   0.72026   0.72012       686
weighted avg    0.72321   0.72303   0.72312       686

Accuracy  0.723032069971
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 256, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [64, 8, 16], 'momentum': 0.6}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.5}, {'shapes': 64, 'drop': 0.5}]
0 1.31570014656 1.38306987286 saving model
1 1.18608895987 1.30994641781 saving model
2 1.04478662163 1.10072696209 saving model
3 0.904673419893 1.04429376125 saving model
4 0.829863615334 1.00952780247 saving model
5 0.789387446642 1.00807356834 saving model
6 0.725618325174 1.00439846516 saving model
7 0.705707603693 1.0108782053
8 0.667339920998 1.01785385609
9 0.632274944335 1.00111150742 saving model
10 0.610455756634 0.989298462868 saving model
11 0.605506700277 1.00293207169
12 0.56216423139 1.00661528111
13 0.561649351567 1.00862371922
14 0.536155926436 1.01848983765
15 0.526290781796 1.08576774597
16 0.540032364428 1.05123102665
17 0.543887694925 1.00980651379
18 0.508602311462 0.950217783451 saving model
19 0.47744345814 0.965906441212
20 0.447682527453 0.969441592693
21 0.396007725596 0.969988286495
22 0.425458552688 0.990758657455
23 0.401495249569 0.989966928959
24 0.37651091814 0.982512712479
25 0.369622854143 0.997759580612
26 0.353391067684 1.00223004818
27 0.357153067738 0.998029470444
28 0.356256349012 0.981767058372
29 0.353097120672 0.97398018837
30 0.35063021034 0.98625254631
31 0.351160398871 1.01936614513
32 0.343670966476 1.0199534893
33 0.348784293979 1.01147997379
34 0.366880331188 0.994388878345
35 0.341036398709 1.01346445084
36 0.343405731022 1.01626861095
37 0.309317995608 1.02056860924
38 0.31815731898 0.996547043324
39 0.355736211687 1.02032220364
40 0.31649347432 1.01697552204
41 0.33056795001 1.01646959782
42 0.309540876001 1.0110667944
43 0.320881975815 1.02179896832
44 0.298672673106 1.0253931284
45 0.326406003162 1.03130424023
46 0.309450387582 1.03758013248
47 0.305101736635 1.03161299229
48 0.296959926561 1.03142178059
49 0.319859860837 1.02887833118
model number is: 52052
mae:  1.04961164419
corr:  0.595172300656
mult_acc:  0.31487
mult f_score:  0.32214
Confusion Matrix :
[[285  94]
 [ 87 220]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76613   0.75198   0.75899       379
        True    0.70064   0.71661   0.70853       307

   micro avg    0.73615   0.73615   0.73615       686
   macro avg    0.73338   0.73430   0.73376       686
weighted avg    0.73682   0.73615   0.73641       686

Accuracy  0.736151603499
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 300, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [128, 80, 8], 'momentum': 0.5}, {'shapes': 128, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}]
0 1.22554911673 1.18487870693 saving model
1 1.05266827941 1.08073318005 saving model
2 0.835717478395 1.01983094215 saving model
3 0.706553147733 0.954389870167 saving model
4 0.651992513984 0.979598522186
5 0.626169076562 0.972859203815
6 0.543131346256 0.957289874554
7 0.545929410309 0.946116566658 saving model
8 0.492731245607 0.93940871954 saving model
9 0.466223110259 0.973215162754
10 0.437828675658 0.961911141872
11 0.401518484205 0.951241612434
12 0.39985050261 0.893322646618 saving model
13 0.387429756671 0.927193880081
14 0.41486441493 0.924637436867
15 0.405149753392 0.908300936222
16 0.373927032202 0.902552723885
17 0.346860580519 0.952193856239
18 0.369552464783 0.947415530682
19 0.377440694347 0.981534540653
20 0.353606436402 0.979448914528
21 0.342793957517 0.966734230518
22 0.362525572628 0.917433202267
23 0.331494165957 0.939813196659
24 0.333023115247 0.951616287231
25 0.310103620961 0.934805572033
26 0.311856672913 0.987306475639
27 0.33106315285 0.941883325577
28 0.329408597201 0.924394488335
29 0.328809977323 0.946801126003
30 0.318227789178 0.958527505398
31 0.333771277592 0.98978048563
32 0.360558076948 0.909534990788
33 0.332746295631 0.966232120991
34 0.333497187123 0.960459768772
35 0.308618189022 0.948134660721
36 0.302495126799 0.958141863346
37 0.321409252658 0.986630558968
38 0.30739929527 0.948177039623
39 0.279265931621 0.942763626575
40 0.301301755756 0.955195128918
41 0.294132926315 0.98155528307
42 0.325092728436 0.991741359234
43 0.327812663838 0.986213445663
44 0.31483996138 1.01050901413
45 0.333848346025 1.04182887077
46 0.40087961182 1.00040602684
47 0.37899415493 0.99657535553
48 0.352853850648 1.0079190731
49 0.349168219417 0.968376219273
model number is: 60024
mae:  1.01030222394
corr:  0.608632367768
mult_acc:  0.30321
mult f_score:  0.30639
Confusion Matrix :
[[302  77]
 [ 99 208]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75312   0.79683   0.77436       379
        True    0.72982   0.67752   0.70270       307

   micro avg    0.74344   0.74344   0.74344       686
   macro avg    0.74147   0.73718   0.73853       686
weighted avg    0.74269   0.74344   0.74229       686

Accuracy  0.743440233236
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 64, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [32, 16, 32], 'momentum': 0.1}, {'shapes': 32, 'drop': 0.5}, {'shapes': 32, 'drop': 0.2}, {'shapes': 128, 'drop': 0.5}, {'shapes': 128, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}]
0 1.24495992512 1.1632386446 saving model
1 0.946816658974 1.08976948261 saving model
2 0.794059763849 1.02638053894 saving model
3 0.714039611071 0.996989071369 saving model
4 0.662728521973 1.033441782
5 0.635413658619 1.00486385822
6 0.549066200852 1.01824831963
7 0.545051322877 0.982689797878 saving model
8 0.497899394482 0.988130271435
9 0.504652126879 1.04022598267
10 0.476571262628 1.06853687763
11 0.48601121977 1.15164840221
12 0.635266141593 1.03282487392
13 0.588731279969 0.962752282619 saving model
14 0.472461805493 0.976123631001
15 0.407735126466 0.968242108822
16 0.339011827484 0.968511402607
17 0.295795676112 0.949516415596 saving model
18 0.286116779596 0.992709755898
19 0.291550923139 1.01372122765
20 0.281976067275 1.04508340359
21 0.283816958591 1.08074617386
22 0.301275954768 1.04259979725
23 0.383720453829 0.987024903297
24 0.389411417767 0.997517228127
25 0.353042875603 0.969653725624
26 0.29732259959 0.963265359402
27 0.277281273901 0.986125946045
28 0.263566119596 1.04497003555
29 0.262027917057 0.975962758064
30 0.279378861189 0.960116267204
31 0.281733553484 0.976084172726
32 0.243480495363 0.982917904854
33 0.247280326486 1.06321752071
34 0.222826730087 1.01015079021
35 0.234571415186 0.979556441307
36 0.217712533101 0.971208572388
37 0.217542762682 0.979095339775
38 0.23664114289 1.0392125845
39 0.218484248221 1.03946006298
40 0.210315571725 0.990250885487
41 0.199467024952 0.989798307419
42 0.240827567503 0.98807823658
43 0.251691499352 0.979667246342
44 0.28052283451 1.01572418213
45 0.276340601593 1.0364177227
46 0.26080400683 0.981808304787
47 0.252940126508 0.96196526289
48 0.256887625903 0.997785031796
49 0.233992184885 1.00610923767
model number is: 38146
mae:  1.03663741065
corr:  0.602210939332
mult_acc:  0.31341
mult f_score:  0.324
Confusion Matrix :
[[267 112]
 [ 79 228]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77168   0.70449   0.73655       379
        True    0.67059   0.74267   0.70479       307

   micro avg    0.72157   0.72157   0.72157       686
   macro avg    0.72113   0.72358   0.72067       686
weighted avg    0.72644   0.72157   0.72234       686

Accuracy  0.721574344023
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [128, 8, 8], 'momentum': 0.8}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.5}, {'shapes': 128, 'drop': 0.7}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.7}]
0 1.22728142738 1.16079413891 saving model
1 0.982658535242 1.15441071987 saving model
2 0.937094783783 1.04578125477 saving model
3 0.822148346901 0.989713251591 saving model
4 0.731289553642 1.01378309727
5 0.665388077497 1.01355791092
6 0.620649719238 0.993967652321
7 0.58357373178 0.983079910278 saving model
8 0.558035430312 1.02183032036
9 0.52436632514 0.979483544827 saving model
10 0.525856631994 1.0174767971
11 0.550850617886 1.07699346542
12 0.613907775283 1.06000447273
13 0.57984649241 0.965199708939 saving model
14 0.534182909131 0.954793989658 saving model
15 0.503059366345 0.991841197014
16 0.518443179131 1.01376104355
17 0.528107020259 1.07264173031
18 0.577496555448 0.990866065025
19 0.583211585879 1.01826000214
20 0.464075574279 0.985569775105
21 0.434356856346 0.974503695965
22 0.457238155603 0.976657032967
23 0.437676689029 1.02931547165
24 0.4994697541 0.964488625526
25 0.452028673887 1.0178450346
26 0.448198199272 0.977953791618
27 0.427807453275 0.978806734085
28 0.418514040112 1.02652454376
29 0.461636814475 0.994046747684
30 0.400755614042 1.01034605503
31 0.404584977031 0.97730666399
32 0.37453006804 0.977180182934
33 0.412796956301 1.02438902855
34 0.414458218217 1.03858232498
35 0.408731645346 1.00928032398
36 0.401843935251 0.957135260105
37 0.346273741126 0.969886600971
38 0.348829704523 0.997329175472
39 0.334841421247 0.994180202484
40 0.341680687666 0.961653709412
41 0.3350469172 0.954711735249 saving model
42 0.351577848196 0.960106194019
43 0.365421482921 0.996151804924
44 0.338735294342 0.9940995574
45 0.352864030004 0.985169947147
46 0.340444031358 0.986669242382
47 0.335545873642 0.945414721966 saving model
48 0.335181128979 0.953143417835
49 0.3323682338 0.996404051781
model number is: 54151
mae:  1.0762442147
corr:  0.582735000437
mult_acc:  0.29446
mult f_score:  0.31683
Confusion Matrix :
[[279 100]
 [ 89 218]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75815   0.73615   0.74699       379
        True    0.68553   0.71010   0.69760       307

   micro avg    0.72449   0.72449   0.72449       686
   macro avg    0.72184   0.72312   0.72229       686
weighted avg    0.72565   0.72449   0.72489       686

Accuracy  0.724489795918
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 128, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [64, 8, 64], 'momentum': 0.9}, {'shapes': 32, 'drop': 0.0}, {'shapes': 128, 'drop': 0.2}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}]
0 1.16923155487 1.2134937048 saving model
1 0.894570985436 1.1006449461 saving model
2 0.792882499099 0.98769646883 saving model
3 0.730788198113 0.956323683262 saving model
4 0.641540977359 0.97384095192
5 0.593120194972 0.988172590733
6 0.601918102801 1.14218711853
7 0.644066655636 0.97262609005
8 0.589448276162 0.96898496151
9 0.505149106681 0.955845832825 saving model
10 0.451173399389 1.04628682137
11 0.470452000201 1.00975728035
12 0.466698156297 1.04560983181
13 0.461588975787 1.0795198679
14 0.432868719101 1.02184510231
15 0.407912117243 0.97139275074
16 0.384772060812 0.966812849045
17 0.317530562729 1.00111913681
18 0.274583353102 0.958372414112
19 0.261344183236 0.96658539772
20 0.304301843792 1.02501392365
21 0.303362105042 1.0156430006
22 0.296263048053 1.01633095741
23 0.357466804981 1.02071607113
24 0.317872247845 1.00544083118
25 0.289667598158 0.963499069214
26 0.304693736136 0.977126061916
27 0.24966185689 1.00503766537
28 0.23954963088 0.962030291557
29 0.254649440944 1.00731897354
30 0.295984551311 1.00833547115
31 0.307244795561 1.04521906376
32 0.329309494048 1.14400207996
33 0.474510478228 1.0365319252
34 0.474528795481 1.01718580723
35 0.33479809165 0.985396564007
36 0.28257452026 1.00695168972
37 0.254536742717 0.986952722073
38 0.207272862643 0.980859160423
39 0.171162618697 0.97900468111
40 0.182466297224 0.973013818264
41 0.209429764748 0.988585531712
42 0.247930575907 0.985744416714
43 0.280173498392 1.02573823929
44 0.288851376623 1.04677391052
45 0.296741241217 0.983545601368
46 0.260190085322 0.975697100163
47 0.235014196485 0.979747116566
48 0.203144817054 0.980613768101
49 0.187915746868 0.954526305199 saving model
model number is: 99100
mae:  1.01829051664
corr:  0.58067261112
mult_acc:  0.32799
mult f_score:  0.33203
Confusion Matrix :
[[304  75]
 [113 194]]
Classification Report :
              precision    recall  f1-score   support

       False    0.72902   0.80211   0.76382       379
        True    0.72119   0.63192   0.67361       307

   micro avg    0.72595   0.72595   0.72595       686
   macro avg    0.72510   0.71702   0.71872       686
weighted avg    0.72551   0.72595   0.72345       686

Accuracy  0.725947521866
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 256, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [32, 8, 32], 'momentum': 0.3}, {'shapes': 32, 'drop': 0.7}, {'shapes': 256, 'drop': 0.7}, {'shapes': 32, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}, {'shapes': 256, 'drop': 0.7}]
0 1.25949261487 1.15326952934 saving model
1 0.980443781614 1.0113735199 saving model
2 0.889272281528 1.08446002007
3 0.856109255552 1.08053040504
4 0.713174986839 1.02736449242
5 0.6670491606 1.02638530731
6 0.631705182791 0.9834420681 saving model
7 0.632660362124 1.01612865925
8 0.595476052165 0.943559408188 saving model
9 0.549151903391 0.997015953064
10 0.550274020433 0.990584731102
11 0.535007451475 0.976705551147
12 0.510623154044 0.958945214748
13 0.480155782402 0.975671470165
14 0.427866759896 0.96976006031
15 0.435328496993 1.01647055149
16 0.435250338912 0.989309668541
17 0.420522427559 1.041274786
18 0.413026188314 1.03713393211
19 0.425700762868 1.04421842098
20 0.481406982243 1.05794346333
21 0.531547828019 1.00931608677
22 0.565345694125 1.00625360012
23 0.551796501875 0.969668507576
24 0.482770465314 0.964774310589
25 0.404123646021 0.979127645493
26 0.404489037395 0.981282889843
27 0.38493347913 0.965647697449
28 0.387510059774 0.988189280033
29 0.365143449605 0.989551782608
30 0.380449856818 0.981106162071
31 0.369087952375 0.952178180218
32 0.35100928694 1.00435936451
33 0.349073570967 0.990058481693
34 0.33852057904 1.01135730743
35 0.349222026765 1.00537455082
36 0.387947651744 1.02198147774
37 0.437066334486 0.971840083599
38 0.447592011094 0.999351739883
39 0.419643494487 0.976900398731
40 0.378489387035 0.957763910294
41 0.362267656624 0.98627692461
42 0.354949080944 0.956740140915
43 0.351135654747 1.01858460903
44 0.334683345258 1.01554512978
45 0.350664293766 1.00550925732
46 0.379637652636 0.981584429741
47 0.3771943748 1.01846754551
48 0.386856503785 1.02952480316
49 0.376169738173 1.00824213028
model number is: 28097
mae:  1.07755143118
corr:  0.594074389447
mult_acc:  0.28134
mult f_score:  0.29595
Confusion Matrix :
[[264 115]
 [ 82 225]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76301   0.69657   0.72828       379
        True    0.66176   0.73290   0.69552       307

   micro avg    0.71283   0.71283   0.71283       686
   macro avg    0.71239   0.71473   0.71190       686
weighted avg    0.71770   0.71283   0.71362       686

Accuracy  0.712827988338
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 64, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [32, 16, 48], 'momentum': 0.3}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.5}, {'shapes': 128, 'drop': 0.2}, {'shapes': 256, 'drop': 0.7}, {'shapes': 32, 'drop': 0.0}]
0 1.30756449699 1.35368156433 saving model
1 1.13528368473 1.15245306492 saving model
2 0.955440962315 1.08857178688 saving model
3 0.856606006622 1.03937888145 saving model
4 0.794400691986 1.03558588028 saving model
5 0.720889532566 1.01505708694 saving model
6 0.674608016014 1.01118028164 saving model
7 0.622142958641 1.01408982277
8 0.591728973389 1.03348016739
9 0.618866205215 1.0035828352 saving model
10 0.690973198414 1.05491161346
11 0.643915748596 0.997661054134 saving model
12 0.52709890604 0.974873781204 saving model
13 0.58102106452 0.985778450966
14 0.448799568415 0.935606002808 saving model
15 0.424985074997 0.955762565136
16 0.412516307831 0.958838641644
17 0.353982174397 0.971289217472
18 0.360359072685 0.979941248894
19 0.37751506567 0.969179391861
20 0.379378139973 0.964910447598
21 0.358575904369 0.993660867214
22 0.302313649654 0.943425536156
23 0.287959367037 0.960086524487
24 0.289154934883 0.960988223553
25 0.25634560585 0.966345489025
26 0.259489646554 0.951078116894
27 0.27445011735 0.962912082672
28 0.239712947607 0.964546024799
29 0.222924175858 0.964760065079
30 0.200763836503 0.956271529198
31 0.168462240696 0.955790519714
32 0.177018293738 0.953582644463
33 0.211156129837 0.95054513216
34 0.211978167295 0.96666353941
35 0.227157914639 0.968576908112
36 0.188732388616 0.97157305479
37 0.191614547372 0.956326425076
38 0.176343739033 0.971491038799
39 0.169342619181 0.961004018784
40 0.17415882051 0.976076006889
41 0.156773963571 0.963899374008
42 0.151542234421 0.952628076077
43 0.12623758316 0.954488694668
44 0.143467572331 0.959745287895
45 0.130078367889 0.96613997221
46 0.125792604685 0.952533781528
47 0.114563275874 0.95726442337
48 0.127358293533 0.965529382229
49 0.143709278107 0.954428315163
model number is: 53027
mae:  0.978637208192
corr:  0.647151825439
mult_acc:  0.33236
mult f_score:  0.34846
Confusion Matrix :
[[307  72]
 [ 91 216]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77136   0.81003   0.79022       379
        True    0.75000   0.70358   0.72605       307

   micro avg    0.76239   0.76239   0.76239       686
   macro avg    0.76068   0.75680   0.75813       686
weighted avg    0.76180   0.76239   0.76150       686

Accuracy  0.762390670554
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 64, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [64, 64, 32], 'momentum': 0.6}, {'shapes': 64, 'drop': 0.2}, {'shapes': 64, 'drop': 0.0}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}, {'shapes': 256, 'drop': 0.2}]
0 1.23786232471 1.11776149273 saving model
1 0.905196517706 1.05476427078 saving model
2 0.763984048367 1.01734793186 saving model
3 0.714717379212 1.08332121372
4 0.710907670856 1.03794550896
5 0.701539987326 1.02400231361
6 0.590679734945 0.980817973614 saving model
7 0.485686096549 0.976133704185 saving model
8 0.459253808856 1.00641274452
9 0.495295858383 1.01807320118
10 0.493496872485 0.982662379742
11 0.421222864091 1.01839292049
12 0.399329845607 0.952313065529 saving model
13 0.372379039228 0.985405027866
14 0.400549674034 0.961901843548
15 0.352744103968 0.932192444801 saving model
16 0.314519833773 0.990447103977
17 0.324138222635 0.983636200428
18 0.295613368601 1.00272321701
19 0.29629060179 0.941192090511
20 0.282711957395 0.963956356049
21 0.312643520534 0.965148150921
22 0.299760320783 0.969860076904
23 0.302866795659 0.968428313732
24 0.293626645207 0.943496644497
25 0.366125436127 1.00065362453
26 0.499059724808 0.996016740799
27 0.412586201727 0.985369980335
28 0.321528524905 0.997825503349
29 0.333179225028 1.00220060349
30 0.311946044862 1.01546359062
31 0.310207000375 0.990847527981
32 0.342120310664 1.01399385929
33 0.325108532608 1.04814064503
34 0.331409823895 0.948609352112
35 0.362496066839 0.947284758091
36 0.425479051471 0.999440133572
37 0.320582462847 0.996030688286
38 0.336659760773 1.01265490055
39 0.379154764116 1.08587622643
40 0.463133557141 1.16246461868
41 0.52631187886 1.20438563824
42 0.586471500993 1.0729392767
43 0.462183406949 1.02000069618
44 0.340873727202 0.990468680859
45 0.298305686563 0.991499185562
46 0.245588125288 1.00963044167
47 0.258005573601 0.990600705147
48 0.261248442531 0.990518212318
49 0.248832242936 0.987976253033
model number is: 53739
mae:  1.10451197728
corr:  0.56015148924
mult_acc:  0.28571
mult f_score:  0.30054
Confusion Matrix :
[[270 109]
 [ 87 220]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75630   0.71240   0.73370       379
        True    0.66869   0.71661   0.69182       307

   micro avg    0.71429   0.71429   0.71429       686
   macro avg    0.71250   0.71451   0.71276       686
weighted avg    0.71710   0.71429   0.71496       686

Accuracy  0.714285714286
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 128, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [156, 48, 48], 'momentum': 0.8}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.2}, {'shapes': 256, 'drop': 0.2}, {'shapes': 256, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}]
0 1.28381590247 1.15344822407 saving model
1 1.01607339978 1.07541537285 saving model
2 0.893513774872 0.972301840782 saving model
3 0.79988873601 0.989405155182
4 0.743578633666 1.01629269123
5 0.719649574161 0.947641074657 saving model
6 0.713905727863 1.09981310368
7 0.675040408969 1.00097966194
8 0.638969215751 1.02696764469
9 0.615035763383 0.943841934204 saving model
10 0.562242177129 0.994949698448
11 0.555247294903 0.959406971931
12 0.555183802545 0.95412260294
13 0.569035883248 0.98518705368
14 0.533552026749 0.92089766264 saving model
15 0.57334331125 0.969997465611
16 0.52388086766 0.941939771175
17 0.519123919308 0.915483176708 saving model
18 0.554826809466 0.969114124775
19 0.533785715699 0.990378379822
20 0.562656472623 1.00966238976
21 0.53927539885 1.00455486774
22 0.562705816329 0.931589126587
23 0.599868768454 0.978320658207
24 0.56345590204 0.974796235561
25 0.561606511474 0.985750794411
26 0.540024717152 0.984356462955
27 0.507814063132 1.02058851719
28 0.550935970247 1.03417003155
29 0.507515853643 1.00502645969
30 0.512897096574 0.971830546856
31 0.471503601968 0.944396197796
32 0.474055401981 0.961781620979
33 0.468342675269 0.983148157597
34 0.481960815191 0.947482168674
35 0.463354179263 0.958233058453
36 0.470021121204 1.00141441822
37 0.471742755175 1.00329661369
38 0.474329535663 1.06065917015
39 0.498942936957 1.07348132133
40 0.527823004127 1.08370995522
41 0.56862988621 0.960806369781
42 0.544648146629 0.945640861988
43 0.542113682628 0.978390693665
44 0.488401171565 1.00875878334
45 0.49441177696 0.991357982159
46 0.467159762979 1.02568054199
47 0.460253639519 1.00563406944
48 0.473086574674 0.980899035931
49 0.452916206419 0.966014742851
model number is: 30956
mae:  1.03533664621
corr:  0.598829221471
mult_acc:  0.31924
mult f_score:  0.32798
Confusion Matrix :
[[269 110]
 [ 83 224]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76420   0.70976   0.73598       379
        True    0.67066   0.72964   0.69891       307

   micro avg    0.71866   0.71866   0.71866       686
   macro avg    0.71743   0.71970   0.71744       686
weighted avg    0.72234   0.71866   0.71939       686

Accuracy  0.718658892128
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 300, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [88, 64, 80], 'momentum': 0.9}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.2}, {'shapes': 256, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}]
0 1.33024179935 1.32642483711 saving model
1 1.12934644222 1.42624008656
2 1.1558124423 1.18653988838 saving model
3 1.04888966084 1.15076601505 saving model
4 0.945395386219 1.06383013725 saving model
5 0.858752477169 1.02838265896 saving model
6 0.83027100563 1.03153169155
7 0.792330336571 1.02238047123 saving model
8 0.757759344578 0.995345830917 saving model
9 0.734299385548 1.00703859329
10 0.67044698 0.993200421333 saving model
11 0.636465120316 1.00708699226
12 0.62306150198 0.972942233086 saving model
13 0.607020795345 1.00881183147
14 0.584072828293 0.982717335224
15 0.560157942772 0.989680409431
16 0.531267124414 0.986254036427
17 0.499782240391 0.946323871613 saving model
18 0.491703259945 0.98407047987
19 0.478882157803 0.954187512398
20 0.455416560173 0.962764143944
21 0.454821020365 1.00755095482
22 0.458976113796 0.994631707668
23 0.473844122887 0.983289957047
24 0.430277585983 0.989853262901
25 0.430469721556 0.980452418327
26 0.41105415225 0.965173840523
27 0.394028741121 0.95355463028
28 0.401177376509 0.976247310638
29 0.401922774315 0.964927434921
30 0.389262282848 0.957273721695
31 0.40112760067 1.0015463829
32 0.409524422884 0.995014131069
33 0.408141839504 1.00799441338
34 0.386625927687 0.998066484928
35 0.39198756814 0.990932524204
36 0.381804859638 0.979218184948
37 0.384973120689 0.976801991463
38 0.376201617718 0.983063459396
39 0.3896951437 0.987011313438
40 0.374235063791 0.971652626991
41 0.365864235163 0.956659138203
42 0.350916999578 0.965008020401
43 0.361575818062 0.982245385647
44 0.361043572426 0.970795154572
45 0.371702247858 0.977669715881
46 0.360199791193 0.957957327366
47 0.361542016268 0.958511412144
48 0.366809457541 0.992284655571
49 0.340627741814 0.973317682743
model number is: 90750
mae:  1.05184454158
corr:  0.588339293416
mult_acc:  0.3105
mult f_score:  0.3216
Confusion Matrix :
[[282  97]
 [102 205]]
Classification Report :
              precision    recall  f1-score   support

       False    0.73438   0.74406   0.73919       379
        True    0.67881   0.66775   0.67323       307

   micro avg    0.70991   0.70991   0.70991       686
   macro avg    0.70659   0.70591   0.70621       686
weighted avg    0.70951   0.70991   0.70967       686

Accuracy  0.709912536443
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 128, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [88, 32, 16], 'momentum': 0.9}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.5}, {'shapes': 32, 'drop': 0.0}, {'shapes': 32, 'drop': 0.2}, {'shapes': 128, 'drop': 0.2}]
0 1.31491756439 1.38453435898 saving model
1 1.24986000061 1.28022038937 saving model
2 1.07346792221 1.16889226437 saving model
3 0.995949590206 1.15480458736 saving model
4 0.959021985531 1.1121481657 saving model
5 0.92061933279 1.0800369978 saving model
6 0.84631613493 1.04030025005 saving model
7 0.84367069006 1.02855503559 saving model
8 0.789091968536 1.01497542858 saving model
9 0.738885104656 1.00791156292 saving model
10 0.701675617695 0.998212099075 saving model
11 0.691465687752 0.988545179367 saving model
12 0.685352885723 1.01900088787
13 0.682466590405 1.01769757271
14 0.651947343349 1.02249455452
15 0.625477969646 1.00297534466
16 0.561947238445 1.00028586388
17 0.536832046509 1.00497579575
18 0.507269734144 1.00067520142
19 0.481336456537 1.01149368286
20 0.47392885685 1.01342523098
21 0.502816319466 0.990024030209
22 0.472535818815 1.02495396137
23 0.463158905506 0.993972957134
24 0.390216112137 0.99226474762
25 0.359614866972 0.992464184761
26 0.348461341858 0.989432394505
27 0.338384389877 1.01668334007
28 0.338905143738 1.04227161407
29 0.360448020697 0.987556040287 saving model
30 0.332615029812 0.987730741501
31 0.308040452003 0.993275523186
32 0.289205732942 1.01703691483
33 0.272892212868 1.01525437832
34 0.255446329713 1.01118993759
35 0.242193377018 0.992942214012
36 0.23047747612 0.986438214779 saving model
37 0.280408096313 1.00713920593
38 0.274193412066 1.03031361103
39 0.275122153759 1.00717163086
40 0.236500507593 1.0208119154
41 0.22119628787 0.99701154232
42 0.222313866019 1.00679111481
43 0.203545477986 1.00759363174
44 0.218226993084 1.00468838215
45 0.216376194358 0.995213031769
46 0.214289698005 1.00761675835
47 0.225640702248 0.993397533894
48 0.206932610273 1.01186990738
49 0.212078231573 1.00872027874
model number is: 94039
mae:  1.04437969317
corr:  0.58879875074
mult_acc:  0.3207
mult f_score:  0.32623
Confusion Matrix :
[[291  88]
 [103 204]]
Classification Report :
              precision    recall  f1-score   support

       False    0.73858   0.76781   0.75291       379
        True    0.69863   0.66450   0.68114       307

   micro avg    0.72157   0.72157   0.72157       686
   macro avg    0.71860   0.71615   0.71702       686
weighted avg    0.72070   0.72157   0.72079       686

Accuracy  0.721574344023
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 400, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [128, 32, 80], 'momentum': 0.5}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}]
0 1.22649971843 1.09728169441 saving model
1 0.950982242823 1.0827293396 saving model
2 0.882054418325 1.04918670654 saving model
3 0.79428139329 1.0225559473 saving model
4 0.71392775178 0.979229569435 saving model
5 0.645585334301 0.998320221901
6 0.625869309902 0.972977399826 saving model
7 0.612747114897 1.02202415466
8 0.666693013906 1.0379036665
9 0.577536073327 1.02673840523
10 0.523743486404 1.01953923702
11 0.487787172198 1.11388254166
12 0.50500664115 1.1108905077
13 0.560442763567 1.06970989704
14 0.62609795332 1.03867042065
15 0.638272988796 1.0549646616
16 0.485594880581 0.977697193623
17 0.418369936943 0.989556670189
18 0.386525845528 0.970551908016 saving model
19 0.364072918892 0.996016979218
20 0.376029592752 1.02360510826
21 0.375968727469 0.987822592258
22 0.393127077818 1.05268478394
23 0.383178505301 1.00761365891
24 0.363503649831 0.983466625214
25 0.352256077528 1.00493121147
26 0.369010734558 0.998054087162
27 0.353327473998 1.0184725523
28 0.323536479473 0.991918623447
29 0.336812028289 0.996400475502
30 0.316555997729 1.02984428406
31 0.339929026365 1.02400636673
32 0.319429191947 1.00142514706
33 0.297455027699 0.993545293808
34 0.31307553947 1.00501263142
35 0.278527593613 1.00627315044
36 0.289045642316 0.981525659561
37 0.275580145419 1.00419163704
38 0.2578216061 0.985907793045
39 0.245996315777 1.00298070908
40 0.249350857735 1.01349079609
41 0.27949000299 1.01060986519
42 0.27323256731 1.01373529434
43 0.299408990145 1.02805876732
44 0.270143768191 0.99822807312
45 0.252838537097 0.995140373707
46 0.228656192124 0.991383671761
47 0.23266094923 0.975828588009
48 0.225447064638 0.974700033665
49 0.226516644657 0.958032727242 saving model
model number is: 86230
mae:  1.06575195864
corr:  0.583853004264
mult_acc:  0.31778
mult f_score:  0.33369
Confusion Matrix :
[[270 109]
 [ 86 221]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75843   0.71240   0.73469       379
        True    0.66970   0.71987   0.69388       307

   micro avg    0.71574   0.71574   0.71574       686
   macro avg    0.71406   0.71614   0.71429       686
weighted avg    0.71872   0.71574   0.71643       686

Accuracy  0.715743440233
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 300, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [156, 8, 80], 'momentum': 0.1}, {'shapes': 128, 'drop': 0.2}, {'shapes': 256, 'drop': 0.0}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.5}, {'shapes': 32, 'drop': 0.2}]
0 1.35099716187 1.4127188921 saving model
1 1.22805542946 1.24637198448 saving model
2 1.07017769814 1.17320370674 saving model
3 0.99094209671 1.1411164999 saving model
4 0.911256945133 1.07752978802 saving model
5 0.830116117001 1.02071928978 saving model
6 0.753774559498 0.977854311466 saving model
7 0.68400042057 0.97904074192
8 0.664994597435 0.945009350777 saving model
9 0.597260451317 0.955269753933
10 0.56869096756 0.984770953655
11 0.507190090418 0.958354890347
12 0.504866421223 1.00278759003
13 0.529046970606 0.978704333305
14 0.59302636385 1.058983922
15 0.537343621254 0.961251139641
16 0.432876843214 0.960007846355
17 0.436930209398 0.963124096394
18 0.382429766655 0.965142309666
19 0.369585746527 0.964626550674
20 0.360407137871 0.967468440533
21 0.322863525152 0.958745241165
22 0.325571942329 0.970722436905
23 0.307131332159 0.974525630474
24 0.306780785322 0.995717287064
25 0.296916359663 0.975912451744
26 0.283638346195 0.96320861578
27 0.277414608002 0.964653491974
28 0.259544989467 0.971690058708
29 0.270297318697 0.977151811123
30 0.26471863389 0.978653013706
31 0.253568461537 0.990043401718
32 0.265678662062 0.971926629543
33 0.257676437497 0.963295102119
34 0.251625627279 0.967528343201
35 0.248168635368 0.971332013607
36 0.224104645848 0.9612185359
37 0.219286724925 0.946239650249
38 0.224747660756 0.941824018955 saving model
39 0.219858673215 0.95223492384
40 0.222055441141 0.968137145042
41 0.212661597133 0.979232549667
42 0.217547333241 0.977364480495
43 0.220487734675 0.970658957958
44 0.212132322788 0.958130300045
45 0.214562743902 0.947517096996
46 0.209033301473 0.982546627522
47 0.220615309477 0.949774861336
48 0.227509754896 0.954166889191
49 0.217362606525 0.972830951214
model number is: 3648
mae:  1.02993120098
corr:  0.588534770148
mult_acc:  0.31924
mult f_score:  0.33774
Confusion Matrix :
[[282  97]
 [100 207]]
Classification Report :
              precision    recall  f1-score   support

       False    0.73822   0.74406   0.74113       379
        True    0.68092   0.67427   0.67758       307

   micro avg    0.71283   0.71283   0.71283       686
   macro avg    0.70957   0.70917   0.70935       686
weighted avg    0.71258   0.71283   0.71269       686

Accuracy  0.712827988338
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 300, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [256, 8, 8], 'momentum': 0.3}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.7}, {'shapes': 32, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.7}]
0 1.19521402121 1.2579959631 saving model
1 0.965176095068 1.07724249363 saving model
2 0.848326712847 1.01531910896 saving model
3 0.787825751305 1.00923013687 saving model
4 0.72258245796 0.979635596275 saving model
5 0.708277471364 1.0535223484
6 0.65981631577 1.00282001495
7 0.622468516231 1.06454575062
8 0.642163921148 0.938610315323 saving model
9 0.61555076167 1.01574802399
10 0.600187110901 0.966584742069
11 0.561738216132 0.933293521404 saving model
12 0.527440407872 0.982801496983
13 0.514079410583 0.946436166763
14 0.516145481914 0.97551125288
15 0.494455511868 0.942823529243
16 0.50742675215 0.964221417904
17 0.475980977714 0.949046730995
18 0.469605061412 0.942165195942
19 0.460181709379 0.958164930344
20 0.439473266155 0.966910123825
21 0.447520592809 0.975240767002
22 0.51316517666 0.981039166451
23 0.473538786173 0.989699304104
24 0.479023750871 1.01672041416
25 0.511594762653 0.980651736259
26 0.482827417552 0.954137921333
27 0.452354817092 1.00222480297
28 0.48354030028 0.976099550724
29 0.458914736658 0.908110499382 saving model
30 0.443758298457 0.943762660027
31 0.3921547167 0.944699883461
32 0.402321075648 0.938075125217
33 0.389264965057 0.951184213161
34 0.388481844962 0.946975827217
35 0.391172056645 1.00086772442
36 0.387354518473 0.9720505476
37 0.37521270439 0.933626949787
38 0.376274953038 0.942811250687
39 0.382515615225 0.96301138401
40 0.382757726312 0.979274272919
41 0.435783503205 1.0261054039
42 0.408481300622 1.06272125244
43 0.429386788607 1.02290844917
44 0.417736592889 0.966598689556
45 0.456918674707 0.9917345047
46 0.462729876488 0.995805859566
47 0.446567007154 0.957940340042
48 0.418125790358 0.987351536751
49 0.380113752559 0.984909117222
model number is: 86847
mae:  1.06286744303
corr:  0.59828400312
mult_acc:  0.31924
mult f_score:  0.33219
Confusion Matrix :
[[271 108]
 [ 80 227]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77208   0.71504   0.74247       379
        True    0.67761   0.73941   0.70717       307

   micro avg    0.72595   0.72595   0.72595       686
   macro avg    0.72485   0.72723   0.72482       686
weighted avg    0.72980   0.72595   0.72667       686

Accuracy  0.725947521866
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 64, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [256, 32, 80], 'momentum': 0.5}, {'shapes': 128, 'drop': 0.2}, {'shapes': 128, 'drop': 0.7}, {'shapes': 256, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}, {'shapes': 256, 'drop': 0.5}]
0 1.20897405744 1.11496639252 saving model
1 0.950273182988 1.02138221264 saving model
2 0.837487205863 0.995770454407 saving model
3 0.728527003527 0.948157012463 saving model
4 0.665429639071 0.914152026176 saving model
5 0.657310052216 0.910753846169 saving model
6 0.643685765564 0.975386798382
7 0.529205183685 0.960017323494
8 0.517717472464 0.946067154408
9 0.480805829912 0.904540657997 saving model
10 0.472311011702 0.956007540226
11 0.525207299739 0.958344995975
12 0.511772743613 0.985651433468
13 0.446892537177 0.925164699554
14 0.420388906449 0.89283400774 saving model
15 0.424543548748 0.919869124889
16 0.377110815793 0.93733382225
17 0.388373440504 0.882088303566 saving model
18 0.368941481411 0.913141667843
19 0.360741587356 0.928170681
20 0.350094037876 0.913935661316
21 0.34668536 0.925783753395
22 0.388814814389 0.91664981842
23 0.457924155146 1.02172100544
24 0.447259260714 0.969935655594
25 0.42449849546 0.955377042294
26 0.385605430603 0.95674687624
27 0.345063090697 0.924280881882
28 0.323630372435 0.861930012703 saving model
29 0.343012106046 0.859933435917 saving model
30 0.337457182631 0.867924690247
31 0.311726681888 0.894545316696
32 0.289219715819 0.894671261311
33 0.292757660151 0.894268453121
34 0.304458224028 0.890114665031
35 0.34558236599 0.887291789055
36 0.376606531441 0.924074947834
37 0.320891681314 0.954563856125
38 0.32929831557 0.944142997265
39 0.319495304301 0.901664972305
40 0.292720304802 0.888197660446
41 0.293349524587 0.877031624317
42 0.296743841469 0.913512170315
43 0.279126755893 0.875885784626
44 0.272721258551 0.881373405457
45 0.282484158874 0.895314574242
46 0.287326886877 0.906058609486
47 0.291293431818 0.954612076283
48 0.31219650358 0.953034162521
49 0.317519138381 0.928903400898
model number is: 20600
mae:  1.03190415082
corr:  0.584539820029
mult_acc:  0.3207
mult f_score:  0.32311
Confusion Matrix :
[[285  94]
 [ 94 213]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75198   0.75198   0.75198       379
        True    0.69381   0.69381   0.69381       307

   micro avg    0.72595   0.72595   0.72595       686
   macro avg    0.72289   0.72289   0.72289       686
weighted avg    0.72595   0.72595   0.72595       686

Accuracy  0.725947521866
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 128, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [64, 80, 48], 'momentum': 0.9}, {'shapes': 32, 'drop': 0.7}, {'shapes': 32, 'drop': 0.0}, {'shapes': 32, 'drop': 0.7}, {'shapes': 256, 'drop': 0.7}, {'shapes': 128, 'drop': 0.7}]
0 1.2582805872 1.30781960487 saving model
1 1.05481734574 1.08472180367 saving model
2 0.944875854254 1.03668355942 saving model
3 0.862929621339 0.983877837658 saving model
4 0.753390783072 1.00728416443
5 0.72033520937 1.00294959545
6 0.64852861464 0.985027313232
7 0.624802753329 0.995429217815
8 0.630871388316 1.05115389824
9 0.636447960138 1.07059407234
10 0.560335640609 0.98453772068
11 0.492554409802 0.96713578701 saving model
12 0.47816555649 0.999618053436
13 0.461895821989 0.990721702576
14 0.450851462781 0.958625614643 saving model
15 0.438180537522 0.977942347527
16 0.437836907804 0.974171340466
17 0.432995280623 0.94922631979 saving model
18 0.41885291189 0.978386938572
19 0.396987085044 0.941861271858 saving model
20 0.408315557241 0.932306468487 saving model
21 0.380992269516 0.946688830853
22 0.360796679556 0.968134462833
23 0.373315009475 0.946002185345
24 0.36903168112 0.948700487614
25 0.362119111419 0.964687824249
26 0.379157426953 0.942429065704
27 0.378074644506 0.936479508877
28 0.341259683669 0.926707446575 saving model
29 0.362077251077 0.925675332546 saving model
30 0.335722832382 0.963859319687
31 0.342276643217 0.976560115814
32 0.357708995044 0.970848560333
33 0.357120966911 0.9078078866 saving model
34 0.348847867548 0.963357448578
35 0.421773707867 1.02591955662
36 0.453238648176 1.05343437195
37 0.464092564583 1.03316354752
38 0.456855259836 0.942497551441
39 0.382816082239 0.962826669216
40 0.353004692495 0.988514304161
41 0.353061464429 0.963364422321
42 0.328144717216 1.00715994835
43 0.314390297234 0.955749750137
44 0.32209173888 0.94989669323
45 0.337877815962 0.995313465595
46 0.334395921975 1.00832796097
47 0.376927116513 1.03005707264
48 0.367979621887 0.980551660061
49 0.357334259152 0.998330712318
model number is: 30058
mae:  1.03332827629
corr:  0.601823381823
mult_acc:  0.3207
mult f_score:  0.3269
Confusion Matrix :
[[277 102]
 [ 79 228]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77809   0.73087   0.75374       379
        True    0.69091   0.74267   0.71586       307

   micro avg    0.73615   0.73615   0.73615       686
   macro avg    0.73450   0.73677   0.73480       686
weighted avg    0.73907   0.73615   0.73679       686

Accuracy  0.736151603499
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 256, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [88, 8, 8], 'momentum': 0.1}, {'shapes': 32, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.0}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.5}]
0 1.32912976742 1.40178573132 saving model
1 1.30087213516 1.37584781647 saving model
2 1.2424497366 1.27290165424 saving model
3 1.11464095116 1.15911090374 saving model
4 1.07876191139 1.1385114193 saving model
5 1.00039048195 1.11211943626 saving model
6 0.982449305058 1.08782660961 saving model
7 0.954300272465 1.06471514702 saving model
8 0.929393076897 1.06308054924 saving model
9 0.906503927708 1.08783435822
10 0.882912659645 1.05063867569 saving model
11 0.881003236771 1.02508449554 saving model
12 0.83897703886 1.03291630745
13 0.810205054283 1.00247049332 saving model
14 0.794302976131 1.02935218811
15 0.780334115028 1.02738714218
16 0.755563795567 1.0053563118
17 0.729867458344 1.02615725994
18 0.7112819314 1.03978800774
19 0.71670460701 1.00149321556 saving model
20 0.703217446804 1.0264441967
21 0.678828239441 1.00729870796
22 0.650842368603 1.01233887672
23 0.619131267071 1.00597262383
24 0.609146308899 1.01777744293
25 0.604069566727 1.01391816139
26 0.603940856457 1.01916062832
27 0.585701906681 1.01567602158
28 0.584384953976 0.998221874237 saving model
29 0.561041128635 1.01154947281
30 0.540294766426 0.991206943989 saving model
31 0.534096986055 1.0273604393
32 0.516515666246 1.00444412231
33 0.514938622713 1.0053627491
34 0.491302782297 1.01967954636
35 0.501459550858 1.0129827261
36 0.469459450245 1.00082612038
37 0.47519748807 1.01143467426
38 0.462811696529 0.996899306774
39 0.446715861559 1.01076388359
40 0.456423163414 1.02032089233
41 0.433290708065 0.997928678989
42 0.423938256502 1.00774288177
43 0.421300828457 0.995948910713
44 0.427916312218 0.992661833763
45 0.416446423531 1.00342726707
46 0.425679963827 1.00332796574
47 0.419159990549 1.00952804089
48 0.391065508127 0.996251642704
49 0.385937815905 1.00669884682
model number is: 21177
mae:  1.05432161611
corr:  0.613386962085
mult_acc:  0.32507
mult f_score:  0.35187
Confusion Matrix :
[[273 106]
 [ 79 228]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77557   0.72032   0.74692       379
        True    0.68263   0.74267   0.71139       307

   micro avg    0.73032   0.73032   0.73032       686
   macro avg    0.72910   0.73149   0.72916       686
weighted avg    0.73398   0.73032   0.73102       686

Accuracy  0.730320699708
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 64, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [32, 16, 80], 'momentum': 0.3}, {'shapes': 64, 'drop': 0.0}, {'shapes': 32, 'drop': 0.2}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.2}]
0 1.24634691179 1.30983781815 saving model
1 0.968229264021 1.08020162582 saving model
2 0.818137593567 1.03227722645 saving model
3 0.74869582504 1.05599606037
4 0.711663736403 1.04124081135
5 0.662916794419 1.04056286812
6 0.682365572453 0.983621120453 saving model
7 0.605624723434 0.961184024811 saving model
8 0.526859962195 0.971126616001
9 0.476024981588 0.97239023447
10 0.463969077915 0.995554208755
11 0.491146507859 0.976741969585
12 0.474716918916 0.987536549568
13 0.425041405112 0.972256481647
14 0.370068641752 1.00232636929
15 0.35540728122 1.01935970783
16 0.397770777345 0.977269470692
17 0.335721991211 0.992763757706
18 0.306955935061 0.997210502625
19 0.290774528682 1.00647902489
20 0.292785431445 1.01061093807
21 0.318626699224 0.978785872459
22 0.3183646366 0.974793255329
23 0.32211285457 1.0355745554
24 0.335866864026 1.08303868771
25 0.319755711779 1.04352843761
26 0.343124565855 0.98811686039
27 0.392844737321 0.981015145779
28 0.359193755686 0.983646452427
29 0.286332218722 0.979821622372
30 0.243890882283 0.976380169392
31 0.241604994237 0.983239173889
32 0.236098888889 0.993965923786
33 0.243241401017 0.991146326065
34 0.252360880002 1.02129924297
35 0.255373915285 0.99739253521
36 0.286998451129 1.01699149609
37 0.284626418725 1.01698899269
38 0.290036321804 1.00337600708
39 0.264944057912 1.01780068874
40 0.252726092562 1.04395723343
41 0.252945590392 1.08892130852
42 0.273581355438 1.0580508709
43 0.282528191432 1.0165554285
44 0.267659585923 1.02966833115
45 0.253134181723 1.05251860619
46 0.272167170048 1.09319853783
47 0.298590664193 1.10727190971
48 0.287315086648 1.10478293896
49 0.320482647792 1.06267309189
model number is: 88827
mae:  1.01293437765
corr:  0.619636434013
mult_acc:  0.31924
mult f_score:  0.33151
Confusion Matrix :
[[289  90]
 [100 207]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74293   0.76253   0.75260       379
        True    0.69697   0.67427   0.68543       307

   micro avg    0.72303   0.72303   0.72303       686
   macro avg    0.71995   0.71840   0.71902       686
weighted avg    0.72236   0.72303   0.72254       686

Accuracy  0.723032069971
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 300, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [156, 64, 48], 'momentum': 0.6}, {'shapes': 128, 'drop': 0.5}, {'shapes': 128, 'drop': 0.2}, {'shapes': 32, 'drop': 0.2}, {'shapes': 256, 'drop': 0.2}, {'shapes': 32, 'drop': 0.5}]
0 1.31252792478 1.31653916836 saving model
1 1.11510700732 1.0914375782 saving model
2 0.982751169801 0.99048858881 saving model
3 0.82055105269 0.947695910931 saving model
4 0.750008548796 0.931184053421 saving model
5 0.687364728749 0.973334312439
6 0.659810385108 0.973234713078
7 0.616318318993 0.971018910408
8 0.590196589381 0.922270953655 saving model
9 0.5431673944 0.898657679558 saving model
10 0.542763467133 0.946906387806
11 0.532407646626 0.926412642002
12 0.4769241862 0.892512798309 saving model
13 0.484203362465 0.89088755846 saving model
14 0.458926066011 0.907523214817
15 0.447520691156 0.892507374287
16 0.429431916028 0.885248720646 saving model
17 0.440001234412 0.904235184193
18 0.418836583942 0.918845415115
19 0.43402492106 0.889566600323
20 0.427166423947 0.916683673859
21 0.45232706219 0.945926070213
22 0.449095501006 0.893528461456
23 0.418739390001 0.895605683327
24 0.395599048585 0.906019985676
25 0.418362165242 0.899047374725
26 0.414802422374 0.867123425007 saving model
27 0.400100766867 0.915604531765
28 0.394757501781 0.906219482422
29 0.381426472217 0.91605246067
30 0.384592182189 0.891727566719
31 0.372091434896 0.902580857277
32 0.376034406945 0.900131821632
33 0.383053707331 0.933126807213
34 0.398477230221 0.898389816284
35 0.364473989606 0.895684599876
36 0.36485626325 0.933623850346
37 0.404825727642 0.91434109211
38 0.353713162243 0.886914134026
39 0.370445100218 0.919009149075
40 0.358833530545 0.913120448589
41 0.360868793726 0.876021981239
42 0.355151967704 0.897227406502
43 0.377580114082 0.915303707123
44 0.360484273359 0.889646053314
45 0.382103195786 0.918188631535
46 0.380207288265 0.883809328079
47 0.332116950676 0.908438622952
48 0.343400834501 0.902173876762
49 0.336067505181 0.878404259682
model number is: 24409
mae:  1.03056146344
corr:  0.628303244907
mult_acc:  0.31487
mult f_score:  0.33109
Confusion Matrix :
[[272 107]
 [ 78 229]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77714   0.71768   0.74623       379
        True    0.68155   0.74593   0.71229       307

   micro avg    0.73032   0.73032   0.73032       686
   macro avg    0.72935   0.73180   0.72926       686
weighted avg    0.73436   0.73032   0.73104       686

Accuracy  0.730320699708
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 64, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [88, 80, 80], 'momentum': 0.3}, {'shapes': 256, 'drop': 0.5}, {'shapes': 128, 'drop': 0.0}, {'shapes': 128, 'drop': 0.2}, {'shapes': 128, 'drop': 0.7}, {'shapes': 256, 'drop': 0.7}]
0 1.1790688321 1.18231391907 saving model
1 1.00166985393 1.1627458334 saving model
2 0.938281707466 1.11751461029 saving model
3 0.83992639184 1.08639764786 saving model
4 0.739824348688 1.03078210354 saving model
5 0.725343616307 1.04225575924
6 0.677110554278 1.01158952713 saving model
7 0.678891244531 1.04921400547
8 0.639005300403 1.03894793987
9 0.592756161094 0.985970914364 saving model
10 0.556217102706 1.03864109516
11 0.570970331877 1.04414212704
12 0.538096807152 1.05094110966
13 0.531434883922 1.04554474354
14 0.52604681924 1.07685375214
15 0.531271480769 1.01389980316
16 0.517704936862 1.01672399044
17 0.495202755928 1.02294850349
18 0.530209577829 1.01698970795
19 0.479109624028 0.999480843544
20 0.491758047044 1.02285325527
21 0.450091724843 0.994797110558
22 0.481714802235 1.00649642944
23 0.480108209699 1.0684030056
24 0.50615087077 0.999889373779
25 0.48333074972 1.00588524342
26 0.505628930777 1.01930069923
27 0.49969855696 1.0194658041
28 0.513671719283 1.06434750557
29 0.517473493516 1.07839250565
30 0.544337067008 1.01087224483
31 0.511267830431 1.09831821918
32 0.482990746945 1.00565433502
33 0.459093189985 1.03084969521
34 0.441252751648 1.02275407314
35 0.450794193149 1.04294812679
36 0.464283304662 1.06377637386
37 0.441715331376 1.03082942963
38 0.42038160041 1.02466356754
39 0.420500202477 1.03945457935
40 0.425664381683 0.990427076817
41 0.422238713503 1.0141620636
42 0.413689962775 1.02629446983
43 0.421671152115 1.03064346313
44 0.432853353769 1.02146041393
45 0.413275118172 1.00196671486
46 0.429677850008 0.991418898106
47 0.400141464919 0.98392868042 saving model
48 0.408958842605 0.967174232006 saving model
49 0.37553159073 0.964338719845 saving model
model number is: 69781
mae:  1.10153211296
corr:  0.566099319916
mult_acc:  0.26676
mult f_score:  0.28231
Confusion Matrix :
[[261 118]
 [ 71 236]]
Classification Report :
              precision    recall  f1-score   support

       False    0.78614   0.68865   0.73418       379
        True    0.66667   0.76873   0.71407       307

   micro avg    0.72449   0.72449   0.72449       686
   macro avg    0.72641   0.72869   0.72412       686
weighted avg    0.73268   0.72449   0.72518       686

Accuracy  0.724489795918
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 400, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [128, 8, 64], 'momentum': 0.9}, {'shapes': 64, 'drop': 0.7}, {'shapes': 256, 'drop': 0.5}, {'shapes': 128, 'drop': 0.2}, {'shapes': 32, 'drop': 0.2}, {'shapes': 64, 'drop': 0.7}]
0 1.31072386503 1.3850184679 saving model
1 1.20768014193 1.15989875793 saving model
2 1.04835860729 1.10531520844 saving model
3 0.965180081129 1.08391046524 saving model
4 0.956518387794 1.07311069965 saving model
5 0.904665237665 1.00945258141 saving model
6 0.855234032869 0.99826914072 saving model
7 0.822999584675 1.01118171215
8 0.768626719713 0.959319651127 saving model
9 0.760103988647 1.02091085911
10 0.75157880187 0.971737980843
11 0.738571679592 1.0549633503
12 0.711278694868 1.03685259819
13 0.695302790403 1.01538860798
14 0.626034402847 0.99336630106
15 0.648916625977 1.0419999361
16 0.675023537874 1.03862643242
17 0.698760354519 1.00161790848
18 0.701067596674 1.0875030756
19 0.695248049498 1.01254403591
20 0.658893591166 0.994042336941
21 0.575070846081 0.981105625629
22 0.539467942715 0.998667597771
23 0.534668111801 1.00636315346
24 0.504165658355 1.00300705433
25 0.463238587976 0.994799017906
26 0.46981523633 0.996579110622
27 0.448829159141 1.01156079769
28 0.443776363134 1.00781154633
29 0.443601661921 1.00620913506
30 0.449207955599 1.02235984802
31 0.467121967673 1.01641726494
32 0.462492913008 1.0217679739
33 0.490150400996 1.04718613625
34 0.459134691954 1.00709569454
35 0.442131865025 1.03107225895
36 0.417196846008 0.966187119484
37 0.408114856482 1.02421021461
38 0.412496414781 0.988181948662
39 0.384308472276 1.00045096874
40 0.383025211096 1.01546013355
41 0.376267629862 0.98397320509
42 0.387530502677 0.975854754448
43 0.373376494646 1.00023198128
44 0.390348693728 1.01013219357
45 0.356490078568 1.00271356106
46 0.355302938819 0.979675710201
47 0.358509737253 0.986300528049
48 0.353686478734 0.988227903843
49 0.366764581203 0.980196475983
model number is: 46331
mae:  1.04838815587
corr:  0.637781528698
mult_acc:  0.30612
mult f_score:  0.3428
Confusion Matrix :
[[279 100]
 [ 69 238]]
Classification Report :
              precision    recall  f1-score   support

       False    0.80172   0.73615   0.76754       379
        True    0.70414   0.77524   0.73798       307

   micro avg    0.75364   0.75364   0.75364       686
   macro avg    0.75293   0.75570   0.75276       686
weighted avg    0.75805   0.75364   0.75431       686

Accuracy  0.753644314869
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 300, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [88, 80, 16], 'momentum': 0.5}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.2}, {'shapes': 256, 'drop': 0.5}]
0 1.304315871 1.36006450653 saving model
1 1.10790444911 1.0941838026 saving model
2 0.92780404985 1.06145358086 saving model
3 0.851397907734 1.03104555607 saving model
4 0.816362479329 1.0270460844 saving model
5 0.803731152415 1.02009487152 saving model
6 0.779816102982 1.1202981472
7 0.761172920465 0.962938606739 saving model
8 0.649648272991 0.987677693367
9 0.615052649379 0.998805820942
10 0.594075126946 1.02810513973
11 0.616400125623 0.988546192646
12 0.613867740333 0.988554418087
13 0.499085952342 0.992792367935
14 0.456193521619 0.996340930462
15 0.439649991691 1.00461995602
16 0.418343809247 1.00304293633
17 0.419487692416 0.992450356483
18 0.431241445243 1.0529859066
19 0.48411257267 1.04438245296
20 0.393569913507 1.07574486732
21 0.356022688746 0.999279022217
22 0.340450617671 1.0617711544
23 0.337919390202 1.04659211636
24 0.329741325974 0.997617125511
25 0.323564764857 1.02367806435
26 0.308172222227 1.05649912357
27 0.292835257947 1.01959717274
28 0.294357892871 1.04073119164
29 0.274294795096 1.05421173573
30 0.292647266388 1.0493581295
31 0.276439969987 1.0778952837
32 0.283132725954 1.08158290386
33 0.293312513828 1.02142190933
34 0.317176681757 1.05786788464
35 0.309244384617 1.07829344273
36 0.26296345517 1.05655431747
37 0.26678288728 1.07855761051
38 0.304246693105 1.13989281654
39 0.291538444906 1.09146893024
40 0.340073309839 1.17669975758
41 0.431318837404 1.12114787102
42 0.494176013768 1.11142015457
43 0.487158329785 1.06272757053
44 0.461558681726 1.119176507
45 0.460642446578 1.08001685143
46 0.384199529886 1.06150901318
47 0.311309679598 1.04856550694
48 0.276414205134 1.06826090813
49 0.261157590151 1.06792247295
model number is: 77303
mae:  1.01190688877
corr:  0.630718716543
mult_acc:  0.32945
mult f_score:  0.34959
Confusion Matrix :
[[289  90]
 [ 81 226]]
Classification Report :
              precision    recall  f1-score   support

       False    0.78108   0.76253   0.77170       379
        True    0.71519   0.73616   0.72552       307

   micro avg    0.75073   0.75073   0.75073       686
   macro avg    0.74814   0.74934   0.74861       686
weighted avg    0.75159   0.75073   0.75103       686

Accuracy  0.750728862974
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [88, 80, 16], 'momentum': 0.8}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}, {'shapes': 128, 'drop': 0.5}]
0 1.31738414764 1.35373938084 saving model
1 1.14656493664 1.26598930359 saving model
2 0.970519709587 1.10623860359 saving model
3 0.867890375853 1.04097723961 saving model
4 0.803697580099 1.02067685127 saving model
5 0.746870476007 0.998203635216 saving model
6 0.697006893158 0.964363992214 saving model
7 0.694385665655 0.971151053905
8 0.7220721066 1.11150765419
9 0.767990207672 1.04601287842
10 0.689068877697 0.986084461212
11 0.575571870804 0.947955429554 saving model
12 0.500046637654 0.904227554798 saving model
13 0.469561833143 0.906200170517
14 0.447081851959 0.948953330517
15 0.454453632236 0.96485799551
16 0.483704614639 0.985930263996
17 0.482371005416 1.00174105167
18 0.499459528923 0.977057039738
19 0.435719299316 0.933117687702
20 0.416829165816 0.942277312279
21 0.373213338852 0.973324596882
22 0.374088332057 0.9213976264
23 0.375275975466 0.952986776829
24 0.353743702173 0.976546227932
25 0.346452853084 0.950226247311
26 0.317088860273 0.946695506573
27 0.306260046363 0.960102081299
28 0.306954711676 0.955040931702
29 0.321393728256 0.962609410286
30 0.333566591144 0.944505155087
31 0.363920855522 0.960932970047
32 0.319060894847 0.959233701229
33 0.335446584225 0.985293865204
34 0.292873470485 0.944316387177
35 0.281755903363 0.941297411919
36 0.293864101171 0.944765865803
37 0.287066113949 0.970708012581
38 0.300232705474 0.940518319607
39 0.275452260673 0.941723167896
40 0.282953390479 0.95646238327
41 0.274602878094 0.954891979694
42 0.259328733385 0.967345774174
43 0.269491170347 0.926182091236
44 0.274929857254 0.935030341148
45 0.262564277649 0.952081859112
46 0.261323641241 0.943813025951
47 0.25068012923 0.94279062748
48 0.245426365733 0.935208797455
49 0.269361270964 0.920260906219
model number is: 58586
mae:  1.03285559708
corr:  0.596646833131
mult_acc:  0.32216
mult f_score:  0.32973
Confusion Matrix :
[[296  83]
 [107 200]]
Classification Report :
              precision    recall  f1-score   support

       False    0.73449   0.78100   0.75703       379
        True    0.70671   0.65147   0.67797       307

   micro avg    0.72303   0.72303   0.72303       686
   macro avg    0.72060   0.71623   0.71750       686
weighted avg    0.72206   0.72303   0.72165       686

Accuracy  0.723032069971
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 400, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [156, 64, 32], 'momentum': 0.9}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}]
0 1.29067275524 1.24428188801 saving model
1 1.17565515041 1.30445313454
2 1.06811900139 1.1448225975 saving model
3 0.970058405399 1.1052531004 saving model
4 0.875893092155 1.05614280701 saving model
5 0.788971030712 1.01675331593 saving model
6 0.74585506916 1.00331699848 saving model
7 0.675573861599 0.980482161045 saving model
8 0.62683942318 0.998362421989
9 0.620604538918 0.980150341988 saving model
10 0.586726415157 0.991021096706
11 0.53548027277 0.974167525768 saving model
12 0.44698805213 0.963140368462 saving model
13 0.415073591471 0.973122835159
14 0.381158572435 0.961660861969 saving model
15 0.334047430754 0.974069237709
16 0.338832706213 0.984292447567
17 0.367150312662 1.01154208183
18 0.42045339942 0.976799070835
19 0.342496371269 0.960145533085 saving model
20 0.267942625284 0.969693779945
21 0.237658450007 0.953754782677 saving model
22 0.236590752006 0.948686778545 saving model
23 0.257062369585 0.956049919128
24 0.259676221013 0.980562150478
25 0.22290263176 0.961431562901
26 0.173103961349 0.952240884304
27 0.1788713485 0.958553016186
28 0.188397312164 0.981265425682
29 0.211888390779 0.978315651417
30 0.19123339653 0.961152434349
31 0.151591134071 0.940218091011 saving model
32 0.140368238091 0.946369469166
33 0.132708741724 0.956332027912
34 0.154413470626 0.964794933796
35 0.148188096285 0.955421030521
36 0.143217614293 0.944545567036
37 0.109832111001 0.961280345917
38 0.131556430459 0.954202532768
39 0.131121703982 0.959611535072
40 0.150036603212 0.942875385284
41 0.152966538072 0.950747549534
42 0.131521847844 0.948403596878
43 0.107689903677 0.9425162673
44 0.118770597875 0.939907670021 saving model
45 0.096626637876 0.944982528687
46 0.119928403199 0.966633141041
47 0.123248171806 0.966312348843
48 0.106787493825 0.943827629089
49 0.0994112715125 0.956472337246
model number is: 21040
mae:  1.05949690752
corr:  0.574452654974
mult_acc:  0.30612
mult f_score:  0.32205
Confusion Matrix :
[[281  98]
 [ 94 213]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74933   0.74142   0.74536       379
        True    0.68489   0.69381   0.68932       307

   micro avg    0.72012   0.72012   0.72012       686
   macro avg    0.71711   0.71762   0.71734       686
weighted avg    0.72049   0.72012   0.72028       686

Accuracy  0.720116618076
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 64, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [32, 16, 48], 'momentum': 0.6}, {'shapes': 32, 'drop': 0.7}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.5}, {'shapes': 128, 'drop': 0.2}]
0 1.14684403837 1.10828006268 saving model
1 0.890692877769 1.04241025448 saving model
2 0.784266734123 1.01635634899 saving model
3 0.685915696621 1.00775110722 saving model
4 0.607920062542 1.00546145439 saving model
5 0.582711993158 1.01577723026
6 0.586919432878 1.00698041916
7 0.618017560244 1.05997765064
8 0.564505121112 0.984956383705 saving model
9 0.443662843108 0.968528091908 saving model
10 0.430412939191 0.961635291576 saving model
11 0.437671950459 1.01021301746
12 0.425266773999 0.983714938164
13 0.440244886279 0.949078679085 saving model
14 0.410322919488 0.994039833546
15 0.352714443207 0.987264335155
16 0.382945770025 1.00335395336
17 0.401931750774 1.03136610985
18 0.484940110147 0.983113825321
19 0.440362623334 1.00020301342
20 0.433884114027 1.07092893124
21 0.422359162569 1.01165819168
22 0.403201571107 0.992310523987
23 0.333555946499 1.05331468582
24 0.409640114009 1.20482647419
25 0.596067431569 1.07688355446
26 0.488345165551 0.991704702377
27 0.363356845081 0.989324271679
28 0.321600151062 0.98823928833
29 0.345888392627 1.0128313303
30 0.347549055517 1.0560246706
31 0.346292260289 1.0322009325
32 0.3137137115 1.02492856979
33 0.27520172298 1.00046479702
34 0.270234291255 0.985746979713
35 0.266430240124 0.956773400307
36 0.293773962557 1.05370521545
37 0.386585697532 1.04911923409
38 0.387345565856 0.976719379425
39 0.383045569062 1.01247048378
40 0.338996116817 1.01212191582
41 0.381504361331 1.02272582054
42 0.392070755363 1.04460978508
43 0.434922385216 1.0129430294
44 0.32762337625 0.978966414928
45 0.252654630691 0.964726746082
46 0.219933549315 0.966845452785
47 0.242024808377 0.951972365379
48 0.247488404065 0.981295406818
49 0.29061935544 1.02590680122
model number is: 7635
mae:  1.01811201317
corr:  0.623965578458
mult_acc:  0.32945
mult f_score:  0.33211
Confusion Matrix :
[[302  77]
 [ 91 216]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76845   0.79683   0.78238       379
        True    0.73720   0.70358   0.72000       307

   micro avg    0.75510   0.75510   0.75510       686
   macro avg    0.75282   0.75021   0.75119       686
weighted avg    0.75446   0.75510   0.75447       686

Accuracy  0.755102040816
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [64, 16, 80], 'momentum': 0.6}, {'shapes': 256, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.2}]
0 1.16744357944 1.16669595242 saving model
1 0.929258841276 1.06966805458 saving model
2 0.851634776592 1.12877774239
3 0.769251048565 1.01324212551 saving model
4 0.662118637562 1.04019343853
5 0.601690548658 0.978384613991 saving model
6 0.554061412811 1.00438964367
7 0.49621964097 0.980066716671
8 0.492152869701 0.965427041054 saving model
9 0.500091010332 0.979989528656
10 0.531841722131 1.12090408802
11 0.578707534075 1.01410734653
12 0.501384851336 1.00160610676
13 0.45260052979 1.02739942074
14 0.48013946116 1.08867931366
15 0.590466508269 1.05166304111
16 0.536906287074 1.02981650829
17 0.425482526422 0.960804879665 saving model
18 0.352840316296 0.97633087635
19 0.338408535719 0.990989267826
20 0.377587985992 1.0366961956
21 0.418527176976 1.02177846432
22 0.378135728836 1.00053012371
23 0.365381264687 0.962406635284
24 0.307743027806 1.01147186756
25 0.370607069135 1.02101719379
26 0.378211274743 1.0299243927
27 0.321747463942 0.992031693459
28 0.284550714493 0.982875108719
29 0.264399814606 0.975133776665
30 0.265856523812 1.01452970505
31 0.280991274118 1.01965987682
32 0.297966435552 1.00320529938
33 0.255262252688 0.988800108433
34 0.262458558381 0.989684641361
35 0.25979565233 1.01853168011
36 0.303548198938 1.01430487633
37 0.30018286407 1.01606094837
38 0.26020398289 0.96559637785
39 0.239954097569 1.0095436573
40 0.29656560123 1.01279902458
41 0.319078673422 1.03095257282
42 0.274464696646 0.985234022141
43 0.218016898632 0.9678363204
44 0.217719949782 1.0020365715
45 0.27280087024 1.00508713722
46 0.271665908396 0.992551803589
47 0.229446810484 0.967592716217
48 0.195848037302 0.988519906998
49 0.204582600296 0.98855227232
model number is: 3547
mae:  1.09623818271
corr:  0.576453595658
mult_acc:  0.293
mult f_score:  0.32174
Confusion Matrix :
[[253 126]
 [ 76 231]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76900   0.66755   0.71469       379
        True    0.64706   0.75244   0.69578       307

   micro avg    0.70554   0.70554   0.70554       686
   macro avg    0.70803   0.70999   0.70524       686
weighted avg    0.71443   0.70554   0.70623       686

Accuracy  0.705539358601
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 128, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [256, 8, 64], 'momentum': 0.9}, {'shapes': 128, 'drop': 0.2}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.7}]
0 1.22055872381 1.20819365978 saving model
1 1.00456831753 1.13190758228 saving model
2 0.926281657815 1.10721302032 saving model
3 0.889196294546 1.05660545826 saving model
4 0.800187338889 1.05481672287 saving model
5 0.802027727664 0.975519955158 saving model
6 0.745596534014 0.975934267044
7 0.701048193127 0.991723716259
8 0.658748776466 0.97226190567 saving model
9 0.626650568098 0.990019738674
10 0.61821193248 0.968135893345 saving model
11 0.58507322818 0.940390586853 saving model
12 0.608728621155 0.962288856506
13 0.610529401898 0.938431143761 saving model
14 0.592010817677 0.964607715607
15 0.562981781363 0.935123920441 saving model
16 0.555436180532 0.982179582119
17 0.533959593624 1.00033187866
18 0.569647425413 0.936730265617
19 0.518728759885 0.965462446213
20 0.550997689366 0.989606440067
21 0.506708429009 0.943146705627
22 0.490814290196 0.943935871124
23 0.532096366584 0.963617324829
24 0.50847953856 0.980056941509
25 0.507878023386 1.07797825336
26 0.587324820459 1.01403689384
27 0.54409109056 0.978952586651
28 0.528220361471 0.969415664673
29 0.494582044333 0.950529932976
30 0.475349775702 0.958863914013
31 0.484723119438 0.945047557354
32 0.476848628372 0.946869492531
33 0.464756204188 0.983620047569
34 0.47385096103 0.991351187229
35 0.456546802074 0.981366157532
36 0.471864845604 0.99200874567
37 0.449927291274 0.996336042881
38 0.473666516691 1.00504803658
39 0.455211690068 0.990242660046
40 0.454230529815 0.96867030859
41 0.437221217155 0.953616142273
42 0.451245725155 0.976468086243
43 0.434150979668 1.00806152821
44 0.460588765144 0.98180949688
45 0.461362972856 0.995973825455
46 0.440035814792 1.00886189938
47 0.437755405903 1.02240645885
48 0.42810915187 1.00694811344
49 0.432088893652 1.01932644844
model number is: 18876
mae:  1.07293177047
corr:  0.604319732093
mult_acc:  0.29592
mult f_score:  0.30716
Confusion Matrix :
[[256 123]
 [ 70 237]]
Classification Report :
              precision    recall  f1-score   support

       False    0.78528   0.67546   0.72624       379
        True    0.65833   0.77199   0.71064       307

   micro avg    0.71866   0.71866   0.71866       686
   macro avg    0.72180   0.72372   0.71844       686
weighted avg    0.72847   0.71866   0.71926       686

Accuracy  0.718658892128
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 400, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [128, 16, 80], 'momentum': 0.6}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.2}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.2}, {'shapes': 64, 'drop': 0.2}]
0 1.27234230042 1.31640660763 saving model
1 1.0887334764 1.15429902077 saving model
2 1.00048480034 1.11385238171 saving model
3 0.889071667194 1.11918032169
4 0.826427614689 1.02902603149 saving model
5 0.758399450779 1.00322115421 saving model
6 0.693850153685 1.00097894669 saving model
7 0.639623045921 0.985685765743 saving model
8 0.588948765397 1.00209462643
9 0.591343146563 0.970304906368 saving model
10 0.553531602025 0.992149293423
11 0.511008265615 0.982490777969
12 0.491178622842 0.995774805546
13 0.512480485439 1.0999597311
14 0.576190626621 1.00517618656
15 0.567368432879 0.993562817574
16 0.515455144644 0.976765453815
17 0.448675110936 0.944216549397 saving model
18 0.377787938714 0.944756388664
19 0.354298233986 0.968229949474
20 0.32989089191 0.97737634182
21 0.324255102873 0.975357949734
22 0.33767926693 0.94419747591 saving model
23 0.320165941119 0.96850079298
24 0.320400452614 0.969131290913
25 0.331726977229 0.982790768147
26 0.340059182048 0.966180801392
27 0.331925445795 0.949861645699
28 0.315045511723 0.961943268776
29 0.297146567702 0.94668930769
30 0.279306192696 0.976537466049
31 0.283678051829 0.932207226753 saving model
32 0.267757880688 0.949132919312
33 0.271395596862 0.957665860653
34 0.262591737509 0.937309026718
35 0.251445174217 0.952423214912
36 0.24595874697 0.92594742775 saving model
37 0.237717118859 0.970700442791
38 0.247437769175 0.944113492966
39 0.227250008285 0.968244791031
40 0.253454250097 0.959636449814
41 0.250563003123 0.947707951069
42 0.236221955717 0.942439436913
43 0.243149015307 0.942277669907
44 0.232264964283 0.947299957275
45 0.217723169923 0.941883385181
46 0.212459492683 0.944804608822
47 0.223445989192 0.947055995464
48 0.230937232077 0.948529660702
49 0.2235925138 0.935130178928
model number is: 70765
mae:  1.06015540584
corr:  0.570793911949
mult_acc:  0.30466
mult f_score:  0.31707
Confusion Matrix :
[[275 104]
 [104 203]]
Classification Report :
              precision    recall  f1-score   support

       False    0.72559   0.72559   0.72559       379
        True    0.66124   0.66124   0.66124       307

   micro avg    0.69679   0.69679   0.69679       686
   macro avg    0.69342   0.69342   0.69342       686
weighted avg    0.69679   0.69679   0.69679       686

Accuracy  0.696793002915
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 300, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [32, 64, 80], 'momentum': 0.9}, {'shapes': 128, 'drop': 0.7}, {'shapes': 32, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}]
0 1.31237715483 1.39641916752 saving model
1 1.27935427427 1.3253506422 saving model
2 1.10889284015 1.18894326687 saving model
3 0.976362431049 1.09456729889 saving model
4 0.87968609333 1.09167432785 saving model
5 0.837724852562 1.08354508877 saving model
6 0.810870790482 1.0724593401 saving model
7 0.779014217854 1.03943300247 saving model
8 0.757628852129 1.0239546299 saving model
9 0.760532569885 1.03507459164
10 0.740924292803 1.07199966908
11 0.715101486444 1.01944887638 saving model
12 0.676114606857 0.997749686241 saving model
13 0.619489240646 1.00459575653
14 0.59056007266 1.00530660152
15 0.575894117355 1.01044392586
16 0.564892721176 1.01151740551
17 0.555705809593 0.999398350716
18 0.565694880486 0.994681537151 saving model
19 0.570224899054 1.03877663612
20 0.571954208612 1.02007162571
21 0.602643072605 1.01686501503
22 0.512415185571 0.988649189472 saving model
23 0.454464447498 0.986523509026 saving model
24 0.439284586906 0.987110376358
25 0.44855659306 0.987893879414
26 0.45589068234 1.01057076454
27 0.468129688501 1.06645679474
28 0.459254813194 1.01192760468
29 0.441287606955 1.01665866375
30 0.397306802869 1.00833940506
31 0.388226333261 0.990764319897
32 0.37385686934 1.0174767971
33 0.360362342 1.03260791302
34 0.345221734047 1.01327931881
35 0.345122942328 1.00951099396
36 0.346924832463 1.01000595093
37 0.342434281111 1.02126228809
38 0.368683150411 0.992037653923
39 0.361087626219 1.00981938839
40 0.327923154831 1.02135622501
41 0.32840693593 1.01664948463
42 0.307768115401 1.01749837399
43 0.309804531932 1.02932667732
44 0.322386974096 1.01404416561
45 0.337751016021 1.01284015179
46 0.305459809303 1.00791466236
47 0.280983237922 1.00302219391
48 0.272569739819 1.0220335722
49 0.27062228471 1.01436817646
model number is: 75574
mae:  1.00681988884
corr:  0.624683638048
mult_acc:  0.32653
mult f_score:  0.34934
Confusion Matrix :
[[297  82]
 [ 92 215]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76350   0.78364   0.77344       379
        True    0.72391   0.70033   0.71192       307

   micro avg    0.74636   0.74636   0.74636       686
   macro avg    0.74370   0.74198   0.74268       686
weighted avg    0.74578   0.74636   0.74591       686

Accuracy  0.746355685131
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 400, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [156, 8, 64], 'momentum': 0.9}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}, {'shapes': 128, 'drop': 0.5}]
0 1.29424991608 1.19786012173 saving model
1 1.09373676777 1.19137346745 saving model
2 1.01425616741 1.0981388092 saving model
3 0.934715533257 1.11140489578
4 0.897582936287 1.05690145493 saving model
5 0.817982149124 0.98909586668 saving model
6 0.722351455688 0.988403201103 saving model
7 0.697765433788 0.982164740562 saving model
8 0.63873103857 0.943857133389 saving model
9 0.584615123272 0.930234014988 saving model
10 0.560006248951 0.970443069935
11 0.531245273352 0.985576927662
12 0.551866942644 0.944910526276
13 0.524052274227 0.978499591351
14 0.502680557966 0.913100063801 saving model
15 0.431652134657 0.947041749954
16 0.412454420328 0.940058946609
17 0.364950209856 0.950064599514
18 0.353963428736 0.922091841698
19 0.327734661102 0.938385248184
20 0.333688437939 0.947611987591
21 0.335705864429 0.947216272354
22 0.348752909899 0.960307478905
23 0.349079698324 0.928951740265
24 0.337200701237 0.924177587032
25 0.319662767649 0.931899368763
26 0.298101139069 0.943550884724
27 0.301433086395 0.939327836037
28 0.286009764671 0.93050545454
29 0.28370603919 0.915054917336
30 0.306060302258 0.918702304363
31 0.292208188772 0.942906677723
32 0.288460785151 0.918037831783
33 0.271262454987 0.937166154385
34 0.284711486101 0.917956769466
35 0.26644551158 0.90437245369 saving model
36 0.252148550749 0.918251693249
37 0.240105697513 0.906832277775
38 0.239907896519 0.909839749336
39 0.246094340086 0.917235255241
40 0.238735541701 0.908557593822
41 0.233324819803 0.898444354534 saving model
42 0.250194197893 0.920757234097
43 0.271597856283 0.909574627876
44 0.252113199234 0.900288403034
45 0.249495011568 0.909427046776
46 0.222537061572 0.914295315742
47 0.225237509608 0.913562238216
48 0.225145727396 0.912106633186
49 0.225516813993 0.897340655327 saving model
model number is: 66816
mae:  1.08414466125
corr:  0.56989110542
mult_acc:  0.31341
mult f_score:  0.32838
Confusion Matrix :
[[265 114]
 [ 83 224]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76149   0.69921   0.72902       379
        True    0.66272   0.72964   0.69457       307

   micro avg    0.71283   0.71283   0.71283       686
   macro avg    0.71211   0.71443   0.71180       686
weighted avg    0.71729   0.71283   0.71361       686

Accuracy  0.712827988338
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 300, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [256, 8, 8], 'momentum': 0.5}, {'shapes': 64, 'drop': 0.2}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.0}, {'shapes': 128, 'drop': 0.2}]
0 1.24490194619 1.14655292034 saving model
1 1.00219106078 1.10100150108 saving model
2 0.863467526436 1.00803256035 saving model
3 0.729546403885 1.01360762119
4 0.664035556465 0.987197160721 saving model
5 0.617316167057 0.881069004536 saving model
6 0.574448701739 0.99324709177
7 0.525781432539 0.971101760864
8 0.522591765225 0.977409243584
9 0.517287175357 1.01496398449
10 0.510562574863 0.923052370548
11 0.456293022633 0.998208940029
12 0.4626913324 1.04743993282
13 0.463432863355 0.984726011753
14 0.427422244102 0.94314289093
15 0.433863462508 0.907460033894
16 0.399754787982 0.905268728733
17 0.389282747358 0.966986000538
18 0.375627472997 1.02355515957
19 0.409398680925 0.926742196083
20 0.353393760696 0.917526304722
21 0.356537923589 0.965378165245
22 0.329216277599 0.933992087841
23 0.325274375454 0.928139746189
24 0.314596484974 0.971350193024
25 0.317018185556 0.930133402348
26 0.308534070849 0.951699078083
27 0.32310519293 0.97774887085
28 0.35226501897 1.0212212801
29 0.392160443962 0.953130543232
30 0.369801638648 0.933440923691
31 0.316508069262 0.931052446365
32 0.339309067279 0.960535824299
33 0.315195773169 0.978812277317
34 0.355536379665 0.945814490318
35 0.37928724885 1.08500409126
36 0.487446466461 0.99672716856
37 0.380139838159 0.941839754581
38 0.315542076901 0.953656971455
39 0.345352892578 0.972391426563
40 0.352971285582 0.963509082794
41 0.326606407762 0.960863292217
42 0.307825103775 0.951530814171
43 0.318348027393 0.953212678432
44 0.345161715895 1.06826257706
45 0.339151289314 1.01333045959
46 0.329554885626 0.952810883522
47 0.280985107273 0.916155636311
48 0.262740713358 0.943736195564
49 0.263688257709 0.951525092125
model number is: 77532
mae:  0.979007574138
corr:  0.652480802575
mult_acc:  0.33528
mult f_score:  0.34902
Confusion Matrix :
[[307  72]
 [ 96 211]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76179   0.81003   0.78517       379
        True    0.74558   0.68730   0.71525       307

   micro avg    0.75510   0.75510   0.75510       686
   macro avg    0.75368   0.74866   0.75021       686
weighted avg    0.75454   0.75510   0.75388       686

Accuracy  0.755102040816
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 400, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [128, 32, 80], 'momentum': 0.8}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}, {'shapes': 32, 'drop': 0.2}]
0 1.2931049943 1.28468072414 saving model
1 1.08377935886 1.1344025135 saving model
2 0.927617804706 1.0762963295 saving model
3 0.841666844487 1.05222308636 saving model
4 0.791192884743 1.06168603897
5 0.736261063814 1.03056609631 saving model
6 0.686360663176 1.0636639595
7 0.660584621131 1.02343118191 saving model
8 0.691590190679 0.992350757122 saving model
9 0.621179611981 1.02061498165
10 0.571204117686 1.02680575848
11 0.520857516676 0.99540823698
12 0.500793735683 1.01736462116
13 0.486954577267 1.00044929981
14 0.451808266342 1.01617443562
15 0.450243475288 1.01275658607
16 0.424035873264 1.06084477901
17 0.445452663302 1.01514232159
18 0.409209162742 1.01282072067
19 0.377467282489 0.999513506889
20 0.37319964096 1.01689195633
21 0.368099011481 1.00478470325
22 0.380098218471 1.04956233501
23 0.368873105198 1.0841075182
24 0.382577573508 1.09913039207
25 0.395382104442 1.00737297535
26 0.357868462056 1.02497720718
27 0.301004204899 1.00326275826
28 0.281070827693 1.00182020664
29 0.276871329919 1.01446843147
30 0.277205951884 1.01086699963
31 0.279034713656 1.01186096668
32 0.265640897304 1.01014780998
33 0.270628010854 0.989553034306 saving model
34 0.262784306332 1.02837216854
35 0.276004208997 1.02228808403
36 0.276440596581 0.98394536972 saving model
37 0.291279348731 0.988809883595
38 0.259850333259 1.01146364212
39 0.261456342787 1.01677930355
40 0.277121017128 1.02489221096
41 0.271093077585 0.996526300907
42 0.251262845844 0.989442408085
43 0.242249427363 0.982619345188 saving model
44 0.250382540002 0.986201941967
45 0.251057917252 0.990182340145
46 0.236561892182 0.988795936108
47 0.217393668741 1.0172675848
48 0.230719122663 1.00565814972
49 0.229008317366 0.982981383801
model number is: 21840
mae:  1.07811298143
corr:  0.592367860657
mult_acc:  0.3105
mult f_score:  0.31817
Confusion Matrix :
[[268 111]
 [ 87 220]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75493   0.70712   0.73025       379
        True    0.66465   0.71661   0.68966       307

   micro avg    0.71137   0.71137   0.71137       686
   macro avg    0.70979   0.71187   0.70995       686
weighted avg    0.71453   0.71137   0.71208       686

Accuracy  0.711370262391
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 256, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [128, 32, 16], 'momentum': 0.3}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}, {'shapes': 64, 'drop': 0.2}, {'shapes': 128, 'drop': 0.2}, {'shapes': 32, 'drop': 0.5}]
0 1.28828055859 1.1999475956 saving model
1 1.09438043833 1.11584568024 saving model
2 0.992998480797 1.09350609779 saving model
3 0.914990371466 1.0361520052 saving model
4 0.85553663373 1.00381088257 saving model
5 0.81171245575 1.0799202919
6 0.749298465252 1.00025427341 saving model
7 0.707299554348 0.99995213747 saving model
8 0.672432553768 1.00918781757
9 0.645773559809 1.02777707577
10 0.615080821514 0.968773066998 saving model
11 0.599298000336 0.991173386574
12 0.617326956987 1.00953197479
13 0.624010562897 1.02389979362
14 0.618167716265 1.09963810444
15 0.635238909721 0.975169301033
16 0.577870506048 0.968291699886 saving model
17 0.49268989563 0.955153167248 saving model
18 0.490341642499 0.977618277073
19 0.44296066165 0.970350503922
20 0.462132659554 0.986145794392
21 0.465406808257 0.977017879486
22 0.444475594163 0.989681303501
23 0.45596947968 0.984950244427
24 0.405258440971 1.0215562582
25 0.431791096926 0.982444286346
26 0.402971971035 0.970740020275
27 0.386232280731 0.962046921253
28 0.369225233793 0.969447791576
29 0.360891014338 0.966242551804
30 0.364025065303 0.951742231846 saving model
31 0.346753033996 0.95096129179 saving model
32 0.352385953069 0.968650996685
33 0.357634583116 0.96583712101
34 0.336803391576 0.95923179388
35 0.350436970592 0.959220051765
36 0.332506921887 0.956390202045
37 0.346733120084 0.951418042183
38 0.337735426426 0.963471114635
39 0.34197551012 0.957236170769
40 0.336560186744 0.958696246147
41 0.357722643018 0.967677235603
42 0.315964591503 0.972552955151
43 0.335846653581 0.960338413715
44 0.312895184755 0.962357163429
45 0.330800285935 0.965354025364
46 0.320140376687 0.962277948856
47 0.321158462763 0.968608260155
48 0.319915261865 0.943679749966 saving model
49 0.312711897492 0.969815075397
model number is: 7355
mae:  1.02666677929
corr:  0.600580494848
mult_acc:  0.31487
mult f_score:  0.33889
Confusion Matrix :
[[277 102]
 [ 86 221]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76309   0.73087   0.74663       379
        True    0.68421   0.71987   0.70159       307

   micro avg    0.72595   0.72595   0.72595       686
   macro avg    0.72365   0.72537   0.72411       686
weighted avg    0.72779   0.72595   0.72647       686

Accuracy  0.725947521866
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 128, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [128, 8, 48], 'momentum': 0.5}, {'shapes': 128, 'drop': 0.2}, {'shapes': 32, 'drop': 0.2}, {'shapes': 64, 'drop': 0.2}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.2}]
0 1.2963837862 1.28509569168 saving model
1 1.04079164267 1.09852004051 saving model
2 0.879596111178 1.04342293739 saving model
3 0.78515996933 1.03399646282 saving model
4 0.727984309196 1.01167953014 saving model
5 0.662063932419 0.966240763664 saving model
6 0.61515815258 0.962380945683 saving model
7 0.6101680547 1.00596523285
8 0.600178036094 1.12233519554
9 0.569406931102 0.999728560448
10 0.477946600318 0.973557889462
11 0.426994030178 1.00960898399
12 0.415568253398 0.980228185654
13 0.41550886184 1.10099351406
14 0.439936777949 1.09489667416
15 0.406952354312 1.03031265736
16 0.363735558093 1.06677556038
17 0.411706466973 1.08204960823
18 0.470505809784 1.0084798336
19 0.448552201688 0.951678097248 saving model
20 0.381650592387 0.975919723511
21 0.326131671667 0.994599938393
22 0.297972196341 0.975261747837
23 0.29447388351 1.01347839832
24 0.260968075693 1.00839138031
25 0.266028098762 0.990023255348
26 0.254212333262 0.999155640602
27 0.248827400804 1.00316870213
28 0.265405467153 0.999793112278
29 0.312639439851 1.04180932045
30 0.354721168429 1.10577082634
31 0.433767971396 1.16922974586
32 0.443851973116 1.09700131416
33 0.4413563326 1.06336247921
34 0.434383624792 1.02836787701
35 0.314692286402 1.02444911003
36 0.240812571347 1.01440024376
37 0.208471617848 0.998505055904
38 0.190144717693 1.01598441601
39 0.186498368531 0.989105165005
40 0.199243290722 1.0243216753
41 0.224482558668 0.98698669672
42 0.250408708304 1.02831208706
43 0.23482998684 1.02609956264
44 0.210003949702 1.01967775822
45 0.188870440423 1.00681221485
46 0.194364230335 1.00546491146
47 0.180972273648 1.03894591331
48 0.189997258782 1.05476856232
49 0.216437003762 1.01751887798
model number is: 65463
mae:  1.04709671842
corr:  0.609188298873
mult_acc:  0.31778
mult f_score:  0.31815
Confusion Matrix :
[[297  82]
 [101 206]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74623   0.78364   0.76448       379
        True    0.71528   0.67101   0.69244       307

   micro avg    0.73324   0.73324   0.73324       686
   macro avg    0.73075   0.72733   0.72846       686
weighted avg    0.73238   0.73324   0.73224       686

Accuracy  0.733236151603
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [32, 80, 32], 'momentum': 0.1}, {'shapes': 32, 'drop': 0.7}, {'shapes': 32, 'drop': 0.7}, {'shapes': 128, 'drop': 0.2}, {'shapes': 128, 'drop': 0.5}, {'shapes': 64, 'drop': 0.2}]
0 1.25949902534 1.18353998661 saving model
1 0.984206110239 1.13656234741 saving model
2 0.887516754866 1.01446354389 saving model
3 0.777470338345 1.00269591808 saving model
4 0.699507963657 0.9705529809 saving model
5 0.689121419191 1.00658142567
6 0.644354224205 0.963585853577 saving model
7 0.547536709905 0.966298937798
8 0.499712949991 0.961562931538 saving model
9 0.464254188538 0.967421114445
10 0.466267234087 1.03396260738
11 0.46751371026 0.939107656479 saving model
12 0.422911527753 0.935997724533 saving model
13 0.423405352235 0.961303710938
14 0.437876904011 0.972922623158
15 0.451200693846 1.04138112068
16 0.405604684353 0.993951797485
17 0.398674377799 0.989765286446
18 0.396348631382 1.02008831501
19 0.511148908734 1.19569098949
20 0.691345250607 0.998157143593
21 0.460720127821 0.995477735996
22 0.35659070611 0.986012578011
23 0.299373117089 0.996176838875
24 0.272173526883 0.981723845005
25 0.282446393371 0.998859643936
26 0.292859762907 1.00378501415
27 0.324176827073 1.06605732441
28 0.419813492894 1.01868247986
29 0.381720551848 0.999133765697
30 0.324234715104 0.993132352829
31 0.285545486212 0.986575782299
32 0.275337268412 1.013489604
33 0.276513527334 1.00519549847
34 0.296593284607 0.97891908884
35 0.305669280887 1.02248823643
36 0.292600177228 1.02152490616
37 0.326192855835 1.00808620453
38 0.286530929804 1.02329528332
39 0.299691495299 1.00180363655
40 0.312427520752 1.00666439533
41 0.263296177983 1.01087594032
42 0.269740483165 1.00416815281
43 0.248509477079 1.00024664402
44 0.243242821097 0.9827003479
45 0.243521244824 1.00005209446
46 0.221164277196 1.01794540882
47 0.256236849725 1.00570344925
48 0.231849835813 1.00582158566
49 0.2407252267 0.993297994137
model number is: 82432
mae:  1.04242709752
corr:  0.597409510855
mult_acc:  0.30758
mult f_score:  0.3118
Confusion Matrix :
[[299  80]
 [103 204]]
Classification Report :
              precision    recall  f1-score   support

       False    0.74378   0.78892   0.76569       379
        True    0.71831   0.66450   0.69036       307

   micro avg    0.73324   0.73324   0.73324       686
   macro avg    0.73105   0.72671   0.72802       686
weighted avg    0.73238   0.73324   0.73197       686

Accuracy  0.733236151603
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 256, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [88, 48, 16], 'momentum': 0.9}, {'shapes': 64, 'drop': 0.7}, {'shapes': 256, 'drop': 0.7}, {'shapes': 32, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.2}]
0 1.14864142537 1.07151925564 saving model
1 0.88532975018 1.0165296793 saving model
2 0.742218716443 0.988898217678 saving model
3 0.687253060937 0.958251297474 saving model
4 0.592088999599 0.954046010971 saving model
5 0.551783820987 0.961129546165
6 0.564838799834 1.04233419895
7 0.538990916312 0.955195784569
8 0.463350727409 0.972821831703
9 0.421188528836 0.945054352283 saving model
10 0.388228587061 0.94865000248
11 0.358425049484 0.943918526173 saving model
12 0.337121829391 0.962843775749
13 0.357102611661 0.987307548523
14 0.393019477278 0.971809267998
15 0.367840758711 0.955582559109
16 0.412331549823 0.964519679546
17 0.418222840875 1.03010737896
18 0.423245503753 0.962937414646
19 0.35454216674 0.979562759399
20 0.325511178747 0.925427556038 saving model
21 0.308055124059 0.913760244846 saving model
22 0.304701093957 0.941401600838
23 0.296532318369 0.917848348618
24 0.296282422543 0.994430303574
25 0.322001343593 0.973396539688
26 0.350459307805 0.926744997501
27 0.304896465689 0.900795102119 saving model
28 0.270550788939 0.930552005768
29 0.275139933452 0.966106772423
30 0.310491247848 0.988735556602
31 0.329263340682 0.919652283192
32 0.334310463071 0.913814604282
33 0.356013458595 1.01017224789
34 0.377346686274 1.00293433666
35 0.334630984813 0.991627514362
36 0.306080019847 0.936260581017
37 0.28510899283 0.89786273241 saving model
38 0.255762623996 0.895280599594 saving model
39 0.26713770628 0.895261466503 saving model
40 0.250388834253 0.904051542282
41 0.263240659237 0.941869795322
42 0.302008445188 0.932308614254
43 0.277714990824 0.923091411591
44 0.247424191609 0.933253645897
45 0.2677471295 0.974188685417
46 0.336657565832 1.05678856373
47 0.361313072592 0.959117293358
48 0.300148397312 0.925916075706
49 0.259895959124 0.899286150932
model number is: 96281
mae:  0.994405067874
corr:  0.628427837458
mult_acc:  0.34694
mult f_score:  0.3528
Confusion Matrix :
[[270 109]
 [ 71 236]]
Classification Report :
              precision    recall  f1-score   support

       False    0.79179   0.71240   0.75000       379
        True    0.68406   0.76873   0.72393       307

   micro avg    0.73761   0.73761   0.73761       686
   macro avg    0.73792   0.74057   0.73696       686
weighted avg    0.74358   0.73761   0.73833       686

Accuracy  0.737609329446
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 128, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [88, 64, 16], 'momentum': 0.5}, {'shapes': 32, 'drop': 0.2}, {'shapes': 256, 'drop': 0.2}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.0}]
0 1.24286128283 1.2366284132 saving model
1 1.06501697302 1.16406202316 saving model
2 0.971108794212 1.14686095715 saving model
3 0.88054369688 1.04763495922 saving model
4 0.75679371357 0.984874904156 saving model
5 0.672045660019 1.01073455811
6 0.607527643442 1.00322234631
7 0.584114819765 0.969229638577 saving model
8 0.513190433383 1.04457867146
9 0.488786542416 1.03888750076
10 0.491951203346 0.993835031986
11 0.482544484735 1.0006673336
12 0.499283403158 0.971533298492
13 0.48768684864 1.02647614479
14 0.485109704733 0.994434952736
15 0.453286957741 0.996960639954
16 0.39534444809 0.98394215107
17 0.376863247156 0.933801114559 saving model
18 0.366173231602 1.0029040575
19 0.374252608418 0.980464458466
20 0.340181779861 0.993483603001
21 0.321735697985 0.949146926403
22 0.332973089814 0.939022541046
23 0.318852221966 0.991935074329
24 0.28896856606 0.96203994751
25 0.237151648104 0.974468767643
26 0.260650445521 0.945484757423
27 0.322457176447 0.984726727009
28 0.277455949783 0.971991896629
29 0.195039400458 0.965340971947
30 0.167286257446 0.97113931179
31 0.240976110101 0.943348824978
32 0.269754049182 0.961587071419
33 0.240322388709 0.948019742966
34 0.16514583379 0.943333148956
35 0.169159114361 0.948941230774
36 0.230673493445 0.93422973156
37 0.218141144514 0.969511270523
38 0.190836186707 0.938203215599
39 0.154611901939 0.947676479816
40 0.201004309952 0.926780104637 saving model
41 0.242586427927 0.973087608814
42 0.191115929186 0.947167277336
43 0.121560216695 0.941908657551
44 0.11432345137 0.940000295639
45 0.154862672836 0.93784570694
46 0.191736066341 0.973173320293
47 0.16992944479 0.952427506447
48 0.140790776163 0.931724429131
49 0.149373832345 0.941738188267
model number is: 31322
mae:  1.06623247228
corr:  0.587076383794
mult_acc:  0.30175
mult f_score:  0.30613
Confusion Matrix :
[[286  93]
 [ 85 222]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77089   0.75462   0.76267       379
        True    0.70476   0.72313   0.71383       307

   micro avg    0.74052   0.74052   0.74052       686
   macro avg    0.73783   0.73887   0.73825       686
weighted avg    0.74130   0.74052   0.74081       686

Accuracy  0.740524781341
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 64, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [256, 80, 80], 'momentum': 0.3}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.5}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}]
0 1.21222152263 1.19393706322 saving model
1 1.02297986448 1.0755469799 saving model
2 0.887253916264 1.01508498192 saving model
3 0.825016599894 1.0357170105
4 0.792210440338 1.07638633251
5 0.745888985693 1.02691662312
6 0.705790513754 0.973910629749 saving model
7 0.658078999817 1.00260233879
8 0.628181702644 1.00657236576
9 0.610950912535 1.01421296597
10 0.645895017684 0.996212601662
11 0.596261165291 0.931827366352 saving model
12 0.556878973544 0.960159778595
13 0.542656151205 1.00680971146
14 0.522013311088 0.969913125038
15 0.500139651448 0.977312088013
16 0.452584665269 0.999427199364
17 0.462614648789 0.94874048233
18 0.459522564709 1.04215061665
19 0.456066330522 0.999008357525
20 0.458200175315 1.01267576218
21 0.412546417862 0.968629002571
22 0.396713885665 0.989723563194
23 0.397299446166 0.945536851883
24 0.389411052316 0.937308371067
25 0.385015963763 0.97870105505
26 0.381940146536 0.954924046993
27 0.390485768765 0.986131072044
28 0.36198124662 0.990627765656
29 0.37696345225 0.983157455921
30 0.368569307029 0.9530351758
31 0.350177845359 0.949954926968
32 0.3739908427 0.933697044849
33 0.360489287972 0.995931446552
34 0.358283948153 0.973326027393
35 0.381486126781 0.929071843624 saving model
36 0.35066655837 0.941535770893
37 0.352021406591 0.962933003902
38 0.355813628063 0.95745319128
39 0.341352180392 0.955358088017
40 0.331685166433 0.970960199833
41 0.347655247152 0.940958619118
42 0.344668225572 0.966813504696
43 0.34840663895 0.967640578747
44 0.333469798043 0.975964009762
45 0.335098484159 0.958178818226
46 0.344811829925 0.940647661686
47 0.354195514321 0.959203898907
48 0.332749488577 0.95262169838
49 0.320787161216 0.957971990108
model number is: 15280
mae:  1.02887781332
corr:  0.603855816911
mult_acc:  0.31633
mult f_score:  0.34187
Confusion Matrix :
[[288  91]
 [ 91 216]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75989   0.75989   0.75989       379
        True    0.70358   0.70358   0.70358       307

   micro avg    0.73469   0.73469   0.73469       686
   macro avg    0.73174   0.73174   0.73174       686
weighted avg    0.73469   0.73469   0.73469       686

Accuracy  0.734693877551
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 300, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [256, 64, 32], 'momentum': 0.5}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.7}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.5}]
0 1.28998769522 1.36437427998 saving model
1 1.18639960289 1.20094060898 saving model
2 1.03721826077 1.09919416904 saving model
3 0.909934347868 1.07978606224 saving model
4 0.874294799566 1.02446508408 saving model
5 0.767022490501 1.00932824612 saving model
6 0.702463018894 1.0036611557 saving model
7 0.636575466394 0.979919850826 saving model
8 0.584458187222 0.957723021507 saving model
9 0.564601138234 0.993059158325
10 0.564455413818 0.953322768211 saving model
11 0.504814562201 0.929515838623 saving model
12 0.477745398879 0.943920135498
13 0.457535046339 0.945359528065
14 0.47802207768 0.963490962982
15 0.451514571905 0.953121840954
16 0.438988861442 0.932498693466
17 0.423299264908 0.953467130661
18 0.406154865026 0.966904819012
19 0.406159740686 0.985103011131
20 0.41580516994 0.962438881397
21 0.422195723653 0.982782483101
22 0.469311636686 0.983343958855
23 0.5328671664 0.988620281219
24 0.524693310261 1.00570726395
25 0.4381649822 0.943071007729
26 0.38972081542 0.988318681717
27 0.357385465503 0.952236115932
28 0.353213456273 0.951647222042
29 0.341235408187 0.961094617844
30 0.367962095141 0.952189564705
31 0.349186214805 0.999239683151
32 0.343661981821 0.941351294518
33 0.346591731906 0.93636316061
34 0.325713372231 0.945485055447
35 0.307014888525 0.921114504337 saving model
36 0.312672734261 0.945267379284
37 0.32459243834 0.968038976192
38 0.329166939855 0.916539728642 saving model
39 0.288586144149 0.925556182861
40 0.306166446209 0.928992390633
41 0.293203593791 0.956383645535
42 0.29610324204 0.943448424339
43 0.27414098382 0.927235245705
44 0.290001487732 0.918039977551
45 0.280671578646 0.933612465858
46 0.281216159463 0.951330840588
47 0.286553254724 0.927939355373
48 0.285019236803 0.937744915485
49 0.27470459491 0.93542188406
model number is: 76112
mae:  1.10631264657
corr:  0.575211035018
mult_acc:  0.29155
mult f_score:  0.30831
Confusion Matrix :
[[253 126]
 [ 78 229]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76435   0.66755   0.71268       379
        True    0.64507   0.74593   0.69184       307

   micro avg    0.70262   0.70262   0.70262       686
   macro avg    0.70471   0.70674   0.70226       686
weighted avg    0.71097   0.70262   0.70335       686

Accuracy  0.702623906706
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 300, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [64, 32, 64], 'momentum': 0.6}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}, {'shapes': 128, 'drop': 0.5}]
0 1.25850638151 1.1658103466 saving model
1 0.981446498632 1.09768307209 saving model
2 0.885851949453 1.01734852791 saving model
3 0.809664487839 1.00132584572 saving model
4 0.748541539907 1.03127157688
5 0.719963729382 0.984722495079 saving model
6 0.649356383085 0.964930832386 saving model
7 0.603583163023 0.964016020298 saving model
8 0.553379362822 0.949443340302 saving model
9 0.512804549932 0.965734899044
10 0.489877784252 0.935709476471 saving model
11 0.473546177149 1.02215003967
12 0.525160616636 1.04848515987
13 0.541167753935 0.936310768127
14 0.465976575017 1.026278615
15 0.486792457104 1.00803828239
16 0.479298636317 1.02470099926
17 0.567456290126 1.04383015633
18 0.531646510959 1.07429170609
19 0.511211708188 0.953059196472
20 0.413048097491 0.947571694851
21 0.372406724095 0.979210078716
22 0.353641313314 0.980127871037
23 0.38171005547 0.945401906967
24 0.368286156654 0.956653773785
25 0.35951564014 0.98536503315
26 0.345877972245 0.966462373734
27 0.365761578083 0.950921535492
28 0.402850338817 0.993458390236
29 0.390271368623 0.979986608028
30 0.396913018823 0.976314008236
31 0.348942023516 0.945363819599
32 0.347395306826 0.93206346035 saving model
33 0.319812208414 0.964576005936
34 0.313017317653 0.955225408077
35 0.307175701857 0.935028135777
36 0.297455644608 0.948471426964
37 0.327078330517 0.907443940639 saving model
38 0.316844066978 0.967813968658
39 0.321584329009 0.972105741501
40 0.31870778203 0.9561393857
41 0.290612250566 0.978155016899
42 0.330821248889 0.955682456493
43 0.285081286728 0.982259571552
44 0.295812307298 0.944314599037
45 0.296090179682 0.958705365658
46 0.284979018569 0.942920207977
47 0.28406715095 0.939466178417
48 0.265421539545 0.943928420544
49 0.264514860511 0.9398483634
model number is: 35413
mae:  1.01096657206
corr:  0.603858753798
mult_acc:  0.33965
mult f_score:  0.34282
Confusion Matrix :
[[285  94]
 [ 88 219]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76408   0.75198   0.75798       379
        True    0.69968   0.71336   0.70645       307

   micro avg    0.73469   0.73469   0.73469       686
   macro avg    0.73188   0.73267   0.73222       686
weighted avg    0.73526   0.73469   0.73492       686

Accuracy  0.734693877551
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 400, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [88, 8, 8], 'momentum': 0.3}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.0}, {'shapes': 128, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}]
0 1.29299860001 1.29070222378 saving model
1 1.1202559948 1.15253865719 saving model
2 1.00379863977 1.12423110008 saving model
3 0.891926658154 1.07621943951 saving model
4 0.84712138176 1.00335490704 saving model
5 0.784990394115 0.946791529655 saving model
6 0.733047223091 0.91896545887 saving model
7 0.706337594986 1.00075721741
8 0.693103039265 0.942494034767
9 0.609877586365 0.932758450508
10 0.547390651703 0.912648916245 saving model
11 0.51552503109 0.919265270233
12 0.470193082094 0.94824141264
13 0.441324925423 0.923459887505
14 0.427236384153 0.929353713989
15 0.415539348125 0.94954842329
16 0.39586097002 0.93719214201
17 0.41317268014 0.955054938793
18 0.362101560831 0.932315468788
19 0.35115275979 0.943034648895
20 0.328494668007 0.953134834766
21 0.313522571325 0.951699316502
22 0.319028770924 0.945485472679
23 0.31235357523 0.947643816471
24 0.303896158934 0.958601891994
25 0.308767074347 0.941074311733
26 0.288130587339 0.953880012035
27 0.284731936455 0.976650834084
28 0.268610572815 0.962351679802
29 0.272820347548 0.971638560295
30 0.275356721878 0.962776780128
31 0.264071026444 0.953068435192
32 0.26564489603 0.957026839256
33 0.263771438599 0.976359844208
34 0.254905858636 0.961473882198
35 0.239567670226 0.960469901562
36 0.253542262316 0.958480834961
37 0.248909035325 0.980112791061
38 0.252967262268 0.944217503071
39 0.240807777643 0.961989462376
40 0.250570401549 0.97955173254
41 0.239974114299 0.972253262997
42 0.23459944725 0.960275292397
43 0.236650180817 0.963264524937
44 0.229774525762 0.970285117626
45 0.231500005722 0.980004072189
46 0.234141877294 0.963059067726
47 0.219222944975 0.961539208889
48 0.209158322215 0.950473427773
49 0.20407243669 0.953094422817
model number is: 36189
mae:  1.05813411564
corr:  0.614789937981
mult_acc:  0.30321
mult f_score:  0.31489
Confusion Matrix :
[[266 113]
 [ 72 235]]
Classification Report :
              precision    recall  f1-score   support

       False    0.78698   0.70185   0.74198       379
        True    0.67529   0.76547   0.71756       307

   micro avg    0.73032   0.73032   0.73032       686
   macro avg    0.73113   0.73366   0.72977       686
weighted avg    0.73700   0.73032   0.73105       686

Accuracy  0.730320699708
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 128, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [88, 8, 16], 'momentum': 0.9}, {'shapes': 256, 'drop': 0.2}, {'shapes': 256, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}, {'shapes': 128, 'drop': 0.2}, {'shapes': 256, 'drop': 0.0}]
0 1.11343125254 1.12703549862 saving model
1 0.919506397843 1.0630300045 saving model
2 0.817820890248 1.01936614513 saving model
3 0.721124247462 1.02675819397
4 0.701714229584 1.02159225941
5 0.623277850449 0.958958923817 saving model
6 0.556119725853 0.983066558838
7 0.485995897651 0.983759701252
8 0.509050645679 0.978266835213
9 0.419145933539 0.989938020706
10 0.388836561888 0.993644833565
11 0.407184757292 0.938336849213 saving model
12 0.393636090308 0.973383545876
13 0.410032176226 0.950912535191
14 0.347924311832 0.988161444664
15 0.313109789789 1.01882588863
16 0.319818257168 0.969021737576
17 0.317656672746 0.939754962921
18 0.320975347236 1.00678360462
19 0.302995331213 1.0134935379
20 0.339377256855 1.10133373737
21 0.364554363489 0.97159320116
22 0.285371040925 0.947746694088
23 0.261036141589 0.99819868803
24 0.232335338742 1.01049137115
25 0.212593913823 0.997091829777
26 0.238042658195 0.924947142601 saving model
27 0.244236251339 0.990297734737
28 0.233711433783 1.00282168388
29 0.231080857292 1.00887799263
30 0.290734776109 0.946542561054
31 0.284831493348 0.952681303024
32 0.226122087985 0.933393478394
33 0.220184720308 0.955038666725
34 0.232049999386 0.945730030537
35 0.266988996789 0.930174469948
36 0.302987023816 0.930304408073
37 0.305151829869 0.986420869827
38 0.305589396134 1.03215074539
39 0.327452100813 0.987444460392
40 0.303178416565 0.95438593626
41 0.276973973215 0.981221020222
42 0.253473118693 0.96009850502
43 0.226218745485 0.993942379951
44 0.207391105965 0.997614860535
45 0.213844026998 0.999261915684
46 0.222537221014 0.974746465683
47 0.180717781745 0.979661822319
48 0.157182237133 1.01013469696
49 0.170653286204 0.990593850613
model number is: 692
mae:  1.07828081298
corr:  0.575874204728
mult_acc:  0.30466
mult f_score:  0.3162
Confusion Matrix :
[[265 114]
 [ 84 223]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75931   0.69921   0.72802       379
        True    0.66172   0.72638   0.69255       307

   micro avg    0.71137   0.71137   0.71137       686
   macro avg    0.71052   0.71280   0.71028       686
weighted avg    0.71564   0.71137   0.71215       686

Accuracy  0.711370262391
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [64, 64, 16], 'momentum': 0.8}, {'shapes': 32, 'drop': 0.2}, {'shapes': 128, 'drop': 0.2}, {'shapes': 128, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}, {'shapes': 32, 'drop': 0.2}]
0 1.21977317333 1.12672042847 saving model
1 0.976850819588 1.1219586134 saving model
2 0.871041941643 1.02472674847 saving model
3 0.782203215361 1.0330439806
4 0.70392794013 1.01554167271 saving model
5 0.605540138483 1.02985322475
6 0.592973005772 0.974624991417 saving model
7 0.574040517211 0.986640274525
8 0.526699626446 0.961036324501 saving model
9 0.501487585902 0.990245103836
10 0.446663999557 1.01996314526
11 0.426435863972 0.997344255447
12 0.416335752606 0.957691550255 saving model
13 0.403377100825 0.99345177412
14 0.388842192292 0.98683577776
15 0.382139456272 0.999954998493
16 0.370707094669 1.02202820778
17 0.411070585251 1.08938980103
18 0.489834934473 1.00554585457
19 0.487477746606 1.00630533695
20 0.417213597894 0.998989582062
21 0.362227427959 0.980618834496
22 0.34397855103 1.01027178764
23 0.315653654933 1.01709103584
24 0.394784072042 0.973423957825
25 0.362301272154 1.00288558006
26 0.318332093954 0.989044725895
27 0.284832933545 1.00823616982
28 0.294904142618 0.988143384457
29 0.311050322652 0.94864410162 saving model
30 0.297057434916 0.993388652802
31 0.303705495596 0.977733492851
32 0.321984148026 1.00129127502
33 0.280872516334 0.991205215454
34 0.266976687312 0.966467738152
35 0.250622917712 0.981378078461
36 0.269193762541 0.970318138599
37 0.26453153193 0.974241018295
38 0.26392929554 0.996440172195
39 0.288809114695 0.958527565002
40 0.271156653762 0.969448566437
41 0.303809759021 0.978640198708
42 0.256727214158 0.976417481899
43 0.235854747891 0.994806706905
44 0.236706906557 0.989965975285
45 0.229446205497 1.00023293495
46 0.224645894766 0.983958899975
47 0.226769137383 0.980316400528
48 0.22507506758 0.985162317753
49 0.22375267297 1.00006258488
model number is: 24520
mae:  1.01856234843
corr:  0.609964053351
mult_acc:  0.31778
mult f_score:  0.32332
Confusion Matrix :
[[285  94]
 [ 85 222]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77027   0.75198   0.76101       379
        True    0.70253   0.72313   0.71268       307

   micro avg    0.73907   0.73907   0.73907       686
   macro avg    0.73640   0.73755   0.73685       686
weighted avg    0.73996   0.73907   0.73938       686

Accuracy  0.739067055394
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [156, 16, 64], 'momentum': 0.6}, {'shapes': 32, 'drop': 0.5}, {'shapes': 32, 'drop': 0.2}, {'shapes': 32, 'drop': 0.2}, {'shapes': 256, 'drop': 0.5}, {'shapes': 64, 'drop': 0.7}]
0 1.22369228303 1.14493572712 saving model
1 1.0079839915 1.23501253128
2 0.940141761303 0.996154904366 saving model
3 0.8648373276 1.00732386112
4 0.801333203912 0.973592281342 saving model
5 0.767003227025 0.990739583969
6 0.733761638403 0.963746190071 saving model
7 0.687276062369 0.934942901134 saving model
8 0.668818558007 0.945525348186
9 0.645595644414 0.951846718788
10 0.613976989686 0.950933873653
11 0.608513636887 0.954896092415
12 0.634868262708 0.974986970425
13 0.622488657385 0.970351457596
14 0.59189452678 0.942691326141
15 0.555844995379 0.963352143764
16 0.574987767637 0.944626569748
17 0.547065422684 0.967268586159
18 0.545753992349 0.99932461977
19 0.52530470565 0.98953795433
20 0.53666081652 0.962375044823
21 0.535845144838 0.960161209106
22 0.529343391955 0.955821335316
23 0.527306193113 0.943237960339
24 0.524379000068 0.986575841904
25 0.501089128107 0.964028477669
26 0.503258428723 0.975196540356
27 0.520843826979 0.947666525841
28 0.487894374877 0.941971421242
29 0.503351941705 0.936401367188
30 0.513264142722 0.991392016411
31 0.515925851464 1.02689874172
32 0.527150383592 0.997816085815
33 0.532864265889 0.939233183861
34 0.503021327406 0.965072691441
35 0.495634119213 0.992141544819
36 0.478579682857 0.961192011833
37 0.487282963097 0.976889133453
38 0.467985364795 0.954533338547
39 0.46178452149 0.969547212124
40 0.477657582611 0.974060297012
41 0.468274495751 1.00227427483
42 0.473995835334 0.994640767574
43 0.48516690284 0.96637737751
44 0.457988161594 0.975030481815
45 0.456350520253 0.976331293583
46 0.443671378493 0.976448297501
47 0.453013915569 0.999381124973
48 0.466267481446 1.01662743092
49 0.436808352917 0.994140863419
model number is: 96365
mae:  1.0603173771
corr:  0.597396425966
mult_acc:  0.27843
mult f_score:  0.30543
Confusion Matrix :
[[274 105]
 [ 81 226]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77183   0.72296   0.74659       379
        True    0.68278   0.73616   0.70846       307

   micro avg    0.72886   0.72886   0.72886       686
   macro avg    0.72731   0.72956   0.72753       686
weighted avg    0.73198   0.72886   0.72953       686

Accuracy  0.728862973761
[{'input_dims': [300, 5, 20], 'batchsize': 32, 'memsize': 128, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [156, 64, 32], 'momentum': 0.1}, {'shapes': 128, 'drop': 0.7}, {'shapes': 256, 'drop': 0.7}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}]
0 1.17794938833 1.1407481432 saving model
1 0.93530203402 1.0058838129 saving model
2 0.862414476275 0.960815906525 saving model
3 0.765329018235 0.972306013107
4 0.692630067468 0.952617287636 saving model
5 0.6353910923 0.995763540268
6 0.589458977431 0.9667314291
7 0.55617492348 0.93081343174 saving model
8 0.53895560801 0.949013829231
9 0.526680649817 1.00126373768
10 0.519332148135 1.01194560528
11 0.521017362922 0.90967476368 saving model
12 0.486882034689 0.915153026581
13 0.431285217404 0.896412491798 saving model
14 0.390763758868 0.90578764677
15 0.393937517703 0.902147471905
16 0.432564796507 0.950485169888
17 0.412568075955 0.992103695869
18 0.40792189613 0.938747942448
19 0.392112577707 0.960967242718
20 0.408876363933 0.977366507053
21 0.451581650972 0.941277503967
22 0.458933060616 0.978555321693
23 0.395976552367 0.972736358643
24 0.367671070993 0.917097687721
25 0.338115654886 0.941698849201
26 0.303323175013 0.918433189392
27 0.295550677553 0.923655390739
28 0.290800039098 0.90539431572
29 0.298723889515 0.908771753311
30 0.30946740061 0.909711420536
31 0.385676777735 0.930681765079
32 0.338309105486 0.936186254025
33 0.319073553383 0.932915210724
34 0.334473127499 0.920592606068
35 0.310364189371 0.937214255333
36 0.307739024609 0.943054199219
37 0.299609075487 0.930544793606
38 0.311347186193 0.932435810566
39 0.309248919785 0.877350747585 saving model
40 0.335321472213 0.924773097038
41 0.314107595012 0.933926105499
42 0.319229790568 0.950965583324
43 0.310697857291 0.944876611233
44 0.321934034675 0.92253613472
45 0.297578882799 0.924758195877
46 0.302240471914 0.904413998127
47 0.278583515435 0.899697780609
48 0.264481371269 0.926414787769
49 0.291989858449 0.938686728477
model number is: 63378
mae:  1.05681884157
corr:  0.600824371487
mult_acc:  0.30029
mult f_score:  0.31544
Confusion Matrix :
[[284  95]
 [ 93 214]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75332   0.74934   0.75132       379
        True    0.69256   0.69707   0.69481       307

   micro avg    0.72595   0.72595   0.72595       686
   macro avg    0.72294   0.72320   0.72306       686
weighted avg    0.72612   0.72595   0.72603       686

Accuracy  0.725947521866
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 300, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [156, 64, 64], 'momentum': 0.9}, {'shapes': 256, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.0}]
0 1.2977992177 1.18248045444 saving model
1 1.05407451391 1.07884788513 saving model
2 0.883463805914 1.09166121483
3 0.779195666313 1.04062354565 saving model
4 0.701673722267 0.96740925312 saving model
5 0.680668270588 0.986657679081
6 0.606588929892 0.906240284443 saving model
7 0.574446326494 0.935940682888
8 0.51159658432 0.979194462299
9 0.490339067578 0.992064714432
10 0.501629677415 0.921624183655
11 0.454992395639 0.960452735424
12 0.457007172704 1.08646762371
13 0.499535313249 1.06000351906
14 0.578447374701 0.917527973652
15 0.519501060247 1.00301206112
16 0.382847687602 0.980470061302
17 0.335700210929 0.999981403351
18 0.366457334161 0.947672188282
19 0.40982182622 1.04152166843
20 0.464159843326 0.975965023041
21 0.333367846906 0.970524311066
22 0.291535082459 0.944846212864
23 0.278399822116 0.971933782101
24 0.315645708144 0.961560308933
25 0.327137731016 0.963812291622
26 0.276323853433 0.960730791092
27 0.264283184707 0.969749212265
28 0.269651354849 0.93726760149
29 0.268640586734 0.94498693943
30 0.212871971726 0.944625914097
31 0.209299488366 0.95061403513
32 0.238503238559 0.93923163414
33 0.245498034358 0.921483755112
34 0.232797515392 0.962908685207
35 0.182652071118 0.956030488014
36 0.213636533916 0.94892168045
37 0.230056554079 0.92938965559
38 0.222163006663 0.954442977905
39 0.163263097405 0.948925852776
40 0.16903784126 0.953010618687
41 0.197623556852 0.952975213528
42 0.245904786885 0.930628478527
43 0.183945797384 0.946187376976
44 0.142702844739 0.939797997475
45 0.154279245436 0.957350313663
46 0.189593496919 0.944613218307
47 0.204154184461 0.941073894501
48 0.15616677627 0.932863593102
49 0.153010062873 0.932813763618
model number is: 6721
mae:  1.04304576788
corr:  0.607369959868
mult_acc:  0.31195
mult f_score:  0.33358
Confusion Matrix :
[[306  73]
 [110 197]]
Classification Report :
              precision    recall  f1-score   support

       False    0.73558   0.80739   0.76981       379
        True    0.72963   0.64169   0.68284       307

   micro avg    0.73324   0.73324   0.73324       686
   macro avg    0.73260   0.72454   0.72633       686
weighted avg    0.73292   0.73324   0.73089       686

Accuracy  0.733236151603
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 400, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [88, 16, 48], 'momentum': 0.6}, {'shapes': 32, 'drop': 0.0}, {'shapes': 128, 'drop': 0.7}, {'shapes': 64, 'drop': 0.0}, {'shapes': 128, 'drop': 0.7}, {'shapes': 32, 'drop': 0.5}]
0 1.31563462019 1.38444685936 saving model
1 1.21962823868 1.12445342541 saving model
2 1.04989411235 1.12554812431
3 0.992246711254 1.04409611225 saving model
4 0.919434070587 1.02398955822 saving model
5 0.864082348347 1.00609993935 saving model
6 0.818666565418 1.00236225128 saving model
7 0.798264664412 1.00675749779
8 0.748081946373 0.984421551228 saving model
9 0.735394710302 0.977177977562 saving model
10 0.712052297592 1.02639102936
11 0.698744755983 0.977305591106
12 0.651816850901 1.00587975979
13 0.635326957703 0.971028327942 saving model
14 0.615628361702 0.970813453197 saving model
15 0.644399005175 0.977806568146
16 0.590620672703 1.00382816792
17 0.560500368476 0.964825630188 saving model
18 0.53741081357 0.966331541538
19 0.531263610721 0.965813100338
20 0.505715370178 0.974021136761
21 0.502147385478 0.960191369057 saving model
22 0.476183030009 0.954939424992 saving model
23 0.472372126579 0.965228617191
24 0.453851285577 0.983419120312
25 0.445425897837 0.954897522926 saving model
26 0.416597661376 0.982501685619
27 0.438098412752 0.968331933022
28 0.443044507504 0.989813804626
29 0.456332457066 1.00969922543
30 0.444186225533 1.01377773285
31 0.435380855203 1.04577589035
32 0.505822899938 1.06851041317
33 0.624193489552 1.05880606174
34 0.568237671256 1.07277297974
35 0.488126415014 0.95224750042 saving model
36 0.406240305305 0.959113657475
37 0.413252356648 0.996531188488
38 0.401970243454 0.975427091122
39 0.371609830856 0.96227312088
40 0.370005956292 0.952156960964 saving model
41 0.37320458293 0.974770307541
42 0.367260417342 0.946691632271 saving model
43 0.391331768036 0.962574243546
44 0.376581496 0.973430275917
45 0.36338160336 0.973484098911
46 0.363021418452 0.962659657001
47 0.334680578113 0.954191625118
48 0.342486101389 0.96385884285
49 0.339723300934 0.974644303322
model number is: 12471
mae:  1.0567255621
corr:  0.598447089739
mult_acc:  0.29738
mult f_score:  0.30979
Confusion Matrix :
[[266 113]
 [ 79 228]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77101   0.70185   0.73481       379
        True    0.66862   0.74267   0.70370       307

   micro avg    0.72012   0.72012   0.72012       686
   macro avg    0.71982   0.72226   0.71926       686
weighted avg    0.72519   0.72012   0.72089       686

Accuracy  0.720116618076
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 64, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [128, 80, 48], 'momentum': 0.3}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}, {'shapes': 256, 'drop': 0.0}, {'shapes': 128, 'drop': 0.5}]
0 1.25368970633 1.28699934483 saving model
1 0.999443745613 1.1434520483 saving model
2 0.94107183218 1.02733576298 saving model
3 0.899118196964 1.10729062557
4 0.855206358433 1.07320737839
5 0.79247636795 1.02278482914 saving model
6 0.732629209757 1.04510593414
7 0.675205534697 1.00759541988 saving model
8 0.641022059321 1.02027189732
9 0.586494767666 1.03649580479
10 0.535222953558 1.00730144978 saving model
11 0.503956657648 1.0243011713
12 0.518627682328 1.00363492966 saving model
13 0.542235249281 1.03193247318
14 0.478275573254 1.01965224743
15 0.454799085855 1.02792799473
16 0.469328975677 0.960520625114 saving model
17 0.427299383283 0.981257498264
18 0.452018639445 1.01263713837
19 0.4179358989 0.98940294981
20 0.412912666798 1.02195215225
21 0.385730332136 1.02747631073
22 0.380908447504 0.962850928307
23 0.364070937037 0.980900704861
24 0.361708018184 1.01280939579
25 0.38846270442 0.996448993683
26 0.347371393442 1.01170945168
27 0.332075831294 0.981003463268
28 0.318506383896 1.00266754627
29 0.309617432952 0.98339921236
30 0.322273570299 0.997725486755
31 0.307240697742 1.0010201931
32 0.302818283439 0.981300473213
33 0.27671444416 0.975235939026
34 0.272949124873 0.99163711071
35 0.255112576485 1.00463402271
36 0.271537199616 0.99090641737
37 0.265849635005 0.980920433998
38 0.268247845769 0.971049547195
39 0.243819089234 0.993817925453
40 0.251191566885 0.99205571413
41 0.257866877317 0.989451289177
42 0.272200621665 0.982987582684
43 0.301310575008 0.989715695381
44 0.311918228865 1.02100944519
45 0.31611173749 0.984785377979
46 0.282288092375 0.993309319019
47 0.261393356323 0.983728587627
48 0.2566598773 0.995137870312
49 0.250347968936 0.976437628269
model number is: 89461
mae:  1.12163778967
corr:  0.580274139753
mult_acc:  0.293
mult f_score:  0.30295
Confusion Matrix :
[[264 115]
 [ 76 231]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77647   0.69657   0.73435       379
        True    0.66763   0.75244   0.70750       307

   micro avg    0.72157   0.72157   0.72157       686
   macro avg    0.72205   0.72451   0.72093       686
weighted avg    0.72776   0.72157   0.72234       686

Accuracy  0.721574344023
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 300, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [88, 8, 48], 'momentum': 0.5}, {'shapes': 32, 'drop': 0.7}, {'shapes': 256, 'drop': 0.7}, {'shapes': 32, 'drop': 0.0}, {'shapes': 64, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}]
0 1.31528733969 1.37868666649 saving model
1 1.23762193918 1.25290262699 saving model
2 1.02987138629 1.14436817169 saving model
3 0.935551923513 1.09817457199 saving model
4 0.858402395248 1.05564403534 saving model
5 0.810401695967 1.02852010727 saving model
6 0.769016695023 1.01912903786 saving model
7 0.731259179115 1.02752077579
8 0.686269748211 1.00906634331 saving model
9 0.664748698473 1.01783454418
10 0.659893083572 1.01971638203
11 0.601839494705 1.01200461388
12 0.573660475016 1.02019000053
13 0.54172706008 1.02329409122
14 0.57614942193 1.01779675484
15 0.54960834384 1.01009321213
16 0.496777713299 1.03176689148
17 0.487782755494 1.01319360733
18 0.454892382026 1.02326488495
19 0.466249105334 1.05173933506
20 0.480694997311 1.0781545639
21 0.485915350914 1.10529959202
22 0.615909147263 1.10153377056
23 0.706202876568 1.06454002857
24 0.548150038719 1.00602436066 saving model
25 0.476314234734 1.01696896553
26 0.50691126585 1.06921565533
27 0.470046600699 1.01049828529
28 0.358806249499 1.00625538826
29 0.325552254915 1.00621175766
30 0.320134425163 1.0016579628 saving model
31 0.338579425216 1.00657510757
32 0.378350034356 1.06274282932
33 0.426347219944 1.0286642313
34 0.425890606642 1.01259100437
35 0.336889597774 1.00701606274
36 0.287862375379 0.996888160706 saving model
37 0.280621872842 0.998168408871
38 0.296007445455 1.016294837
39 0.309206536412 1.03872406483
40 0.352644988894 1.00942385197
41 0.312161204219 1.02024018764
42 0.27772680223 1.00079751015
43 0.253542114794 0.99761980772
44 0.231841848791 1.00488209724
45 0.238793809712 1.02192425728
46 0.270730046928 1.00388646126
47 0.302403222024 1.02659487724
48 0.288499237597 1.02114617825
49 0.255081292987 0.992541611195 saving model
model number is: 94776
mae:  1.06414078115
corr:  0.575290028381
mult_acc:  0.31487
mult f_score:  0.32807
Confusion Matrix :
[[286  93]
 [ 95 212]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75066   0.75462   0.75263       379
        True    0.69508   0.69055   0.69281       307

   micro avg    0.72595   0.72595   0.72595       686
   macro avg    0.72287   0.72259   0.72272       686
weighted avg    0.72579   0.72595   0.72586       686

Accuracy  0.725947521866
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 400, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [32, 48, 64], 'momentum': 0.9}, {'shapes': 256, 'drop': 0.7}, {'shapes': 128, 'drop': 0.7}, {'shapes': 32, 'drop': 0.7}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}]
0 1.32301762104 1.38841366768 saving model
1 1.22790699005 1.25361573696 saving model
2 1.05647639036 1.12759876251 saving model
3 0.918906569481 1.09134793282 saving model
4 0.87972137928 1.09472310543
5 0.840633738041 1.0462385416 saving model
6 0.779257524014 1.00353181362 saving model
7 0.695076596737 0.984439313412 saving model
8 0.651436388493 0.977108299732 saving model
9 0.601714420319 0.98958837986
10 0.598781955242 1.01733613014
11 0.610053193569 1.01655960083
12 0.578900516033 0.962102234364 saving model
13 0.517031556368 0.953843295574 saving model
14 0.46747148037 0.971177637577
15 0.43904902935 0.959787070751
16 0.402322036028 0.940970182419 saving model
17 0.395331460238 0.952682316303
18 0.376720327139 0.955726206303
19 0.396679526567 0.960324823856
20 0.450682985783 0.995457172394
21 0.410156697035 0.958975672722
22 0.363072288036 0.959191739559
23 0.339709210396 0.980966985226
24 0.328712248802 0.970776557922
25 0.312386447191 0.964176654816
26 0.303354287148 0.954328656197
27 0.309812945127 0.966381907463
28 0.311908841133 0.95949357748
29 0.299348539114 0.950102806091
30 0.293103659153 0.976569771767
31 0.263496720791 0.980728268623
32 0.270145863295 0.973439216614
33 0.256329590082 0.969305455685
34 0.261766064167 0.95881152153
35 0.261015278101 0.956604540348
36 0.254106417298 0.972398877144
37 0.266960155964 0.969055712223
38 0.25411952436 0.956459820271
39 0.268834623694 0.980007767677
40 0.25784920454 0.988519668579
41 0.270025467873 0.987273573875
42 0.262989595532 0.969481945038
43 0.253463366628 0.967474281788
44 0.252144354582 0.961059451103
45 0.235550129414 0.974311769009
46 0.253174734116 0.96017241478
47 0.237447759509 0.957409441471
48 0.238802519441 0.967675089836
49 0.244402074814 0.977849543095
model number is: 12995
mae:  1.12163853874
corr:  0.559499172279
mult_acc:  0.26385
mult f_score:  0.27503
Confusion Matrix :
[[257 122]
 [ 83 224]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75588   0.67810   0.71488       379
        True    0.64740   0.72964   0.68606       307

   micro avg    0.70117   0.70117   0.70117       686
   macro avg    0.70164   0.70387   0.70047       686
weighted avg    0.70733   0.70117   0.70199       686

Accuracy  0.701166180758
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 128, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [88, 8, 16], 'momentum': 0.6}, {'shapes': 64, 'drop': 0.2}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.0}, {'shapes': 64, 'drop': 0.7}, {'shapes': 256, 'drop': 0.2}]
0 1.29530179501 1.28660786152 saving model
1 1.09900084734 1.16222345829 saving model
2 0.941305923462 1.06948256493 saving model
3 0.873284983635 1.07417547703
4 0.833867073059 1.06149888039 saving model
5 0.808677911758 1.03039431572 saving model
6 0.717779684067 1.02297019958 saving model
7 0.649456393719 1.01021361351 saving model
8 0.570894873142 0.985143065453 saving model
9 0.512882518768 0.991411685944
10 0.49256581068 0.998857855797
11 0.43684092164 1.01523935795
12 0.493964743614 0.950720489025 saving model
13 0.486137986183 1.06179666519
14 0.521385931969 0.986620485783
15 0.364779090881 0.956984758377
16 0.339482194185 0.949705958366 saving model
17 0.323438978195 0.964083969593
18 0.339573127031 0.988557636738
19 0.358875006437 1.03722238541
20 0.390697032213 0.971659898758
21 0.309411114454 0.963834583759
22 0.292686212063 0.963225364685
23 0.290534764528 0.956704974174
24 0.258896636963 0.96067404747
25 0.256208300591 0.941716969013 saving model
26 0.230050474405 0.951328277588
27 0.22732784152 0.933966517448 saving model
28 0.215859535336 0.957100987434
29 0.23522426486 0.939520299435
30 0.216117331386 0.965256333351
31 0.228267338872 0.917785465717 saving model
32 0.20025767386 0.96019423008
33 0.19775416851 0.971024036407
34 0.183558374643 0.93865275383
35 0.173412784934 0.938519537449
36 0.172092968225 0.935960948467
37 0.162216317654 0.95939296484
38 0.164348638058 0.952201485634
39 0.163780006766 0.943630993366
40 0.185096895695 0.933689773083
41 0.163778060675 0.940925896168
42 0.164153787494 0.958154380322
43 0.175272247195 0.955143272877
44 0.17902058363 0.930600225925
45 0.194178953767 0.944328188896
46 0.164008107781 0.955467820168
47 0.151271364093 0.941932618618
48 0.147764045 0.934340536594
49 0.162833684683 0.932471811771
model number is: 5761
mae:  1.06465445018
corr:  0.582750717554
mult_acc:  0.31341
mult f_score:  0.31984
Confusion Matrix :
[[271 108]
 [ 87 220]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75698   0.71504   0.73541       379
        True    0.67073   0.71661   0.69291       307

   micro avg    0.71574   0.71574   0.71574       686
   macro avg    0.71386   0.71583   0.71416       686
weighted avg    0.71838   0.71574   0.71639       686

Accuracy  0.715743440233
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 256, 'windowsize': 2, 'lr': 0.001, 'num_epochs': 50, 'h_dims': [128, 80, 32], 'momentum': 0.6}, {'shapes': 32, 'drop': 0.2}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.7}, {'shapes': 128, 'drop': 0.5}, {'shapes': 128, 'drop': 0.5}]
0 1.32286307812 1.40767252445 saving model
1 1.30325849056 1.37795042992 saving model
2 1.25767657757 1.32248950005 saving model
3 1.16408412457 1.17975842953 saving model
4 1.04105229378 1.19027280807
5 0.996410167217 1.12056279182 saving model
6 0.956923019886 1.10593724251 saving model
7 0.919979703426 1.08707988262 saving model
8 0.888147985935 1.05542886257 saving model
9 0.853180646896 1.03731489182 saving model
10 0.83856793642 1.0330914259 saving model
11 0.807209026814 1.02579414845 saving model
12 0.793438076973 1.00564622879 saving model
13 0.763710749149 1.02217566967
14 0.749678683281 1.0137411356
15 0.724867069721 1.00104761124 saving model
16 0.697045624256 0.994006872177 saving model
17 0.676733863354 0.994335830212
18 0.667604696751 1.0016849041
19 0.654322350025 1.00533223152
20 0.638026666641 1.0086684227
21 0.604425799847 1.01824879646
22 0.628208947182 1.02359604836
23 0.696973717213 1.04398071766
24 0.671569216251 0.994673550129
25 0.572646057606 1.011246562
26 0.589539217949 1.03158438206
27 0.588812553883 1.01424109936
28 0.534272909164 1.0036188364
29 0.516469794512 1.02374017239
30 0.527834522724 1.04672718048
31 0.532956767082 1.01994729042
32 0.49475543499 1.02421593666
33 0.493147885799 1.01637876034
34 0.469747507572 1.03424561024
35 0.468173623085 1.01746082306
36 0.43439964056 1.02654576302
37 0.430739784241 1.02376830578
38 0.412505811453 1.0311909914
39 0.398352998495 1.04403996468
40 0.390446925163 1.03549563885
41 0.39639171958 1.03417134285
42 0.396345543861 1.03997850418
43 0.403780198097 1.01312887669
44 0.408359336853 1.02619373798
45 0.383568668365 1.04867994785
46 0.373948359489 1.02763843536
47 0.345808583498 1.03162753582
48 0.358360898495 1.02568614483
49 0.349533694983 1.03473925591
model number is: 6797
mae:  1.01192766413
corr:  0.632607520942
mult_acc:  0.32799
mult f_score:  0.35569
Confusion Matrix :
[[294  85]
 [ 91 216]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76364   0.77573   0.76963       379
        True    0.71761   0.70358   0.71053       307

   micro avg    0.74344   0.74344   0.74344       686
   macro avg    0.74062   0.73965   0.74008       686
weighted avg    0.74304   0.74344   0.74318       686

Accuracy  0.743440233236
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 64, 'windowsize': 2, 'lr': 0.005, 'num_epochs': 50, 'h_dims': [256, 16, 8], 'momentum': 0.6}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.2}, {'shapes': 64, 'drop': 0.5}, {'shapes': 64, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}]
0 1.26159760952 1.21111238003 saving model
1 1.11546138525 1.18179428577 saving model
2 0.994815033674 1.07379007339 saving model
3 0.917677229643 1.00790369511 saving model
4 0.816007763147 0.99349963665 saving model
5 0.775147163868 1.02833580971
6 0.736569184065 0.9840015769 saving model
7 0.671550875902 0.964260339737 saving model
8 0.620707499981 0.955259501934 saving model
9 0.562799227238 0.978359162807
10 0.588474786282 0.952703356743 saving model
11 0.540105932951 0.955392360687
12 0.526268097758 0.95457559824
13 0.500769171119 0.972651839256
14 0.495542293787 1.00088763237
15 0.543818485737 1.0415238142
16 0.547929054499 1.03193926811
17 0.559794420004 0.977851986885
18 0.506168746948 1.02347671986
19 0.481890684366 0.950290083885 saving model
20 0.454211461544 0.975963234901
21 0.444532757998 0.982295930386
22 0.405274826288 0.960669517517
23 0.408301666379 0.95985019207
24 0.403835791349 0.993617892265
25 0.368555432558 0.956161856651
26 0.373651519418 0.911794126034 saving model
27 0.371200487018 0.935992181301
28 0.355704164505 0.923748552799
29 0.356119722128 0.944798946381
30 0.364161980152 0.947721898556
31 0.361660784483 0.908334672451 saving model
32 0.341756427288 0.946909666061
33 0.358896350861 0.969236731529
34 0.34745734334 0.966420173645
35 0.342216965556 0.944163382053
36 0.344477644563 0.918590545654
37 0.336176261306 0.931180417538
38 0.33478924334 0.937317371368
39 0.344256931543 0.953610479832
40 0.353595638275 0.949001669884
41 0.35421911478 0.963906526566
42 0.348362013698 0.949842810631
43 0.350233218074 0.947968065739
44 0.351545619965 0.93023276329
45 0.34861664176 0.94421595335
46 0.33789127171 0.956886231899
47 0.319325068593 0.940221905708
48 0.32338205874 0.957466244698
49 0.315711507201 0.938879549503
model number is: 66782
mae:  1.06383211979
corr:  0.586252979432
mult_acc:  0.30321
mult f_score:  0.31861
Confusion Matrix :
[[268 111]
 [ 83 224]]
Classification Report :
              precision    recall  f1-score   support

       False    0.76353   0.70712   0.73425       379
        True    0.66866   0.72964   0.69782       307

   micro avg    0.71720   0.71720   0.71720       686
   macro avg    0.71609   0.71838   0.71603       686
weighted avg    0.72107   0.71720   0.71794       686

Accuracy  0.717201166181
[{'input_dims': [300, 5, 20], 'batchsize': 256, 'memsize': 400, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [64, 32, 64], 'momentum': 0.9}, {'shapes': 64, 'drop': 0.7}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 128, 'drop': 0.7}, {'shapes': 256, 'drop': 0.5}]
0 1.3408834219 1.34516596794 saving model
1 1.10813752413 1.12154817581 saving model
2 0.922755861282 1.11265969276 saving model
3 0.829147410393 1.04208850861 saving model
4 0.768072664738 1.07733297348
5 0.821419894695 1.05588304996
6 0.792385697365 1.09788441658
7 0.730081582069 1.02220129967 saving model
8 0.643826532364 0.979063808918 saving model
9 0.627595281601 1.02431452274
10 0.567013144493 1.00704610348
11 0.516911756992 1.00088524818
12 0.496001315117 1.00414252281
13 0.474982440472 0.970538139343 saving model
14 0.456574302912 1.02170932293
15 0.480510890484 0.998360574245
16 0.436852550507 1.01373517513
17 0.427305275202 0.981241047382
18 0.376620620489 0.986836791039
19 0.360625714064 0.997598707676
20 0.340595966578 1.00103271008
21 0.330802458525 0.982911407948
22 0.3122854352 0.96559548378 saving model
23 0.314208078384 0.972118377686
24 0.300228327513 0.993975579739
25 0.285160344839 0.998540997505
26 0.297902131081 1.00072741508
27 0.281218659878 0.97772449255
28 0.308182746172 0.989562511444
29 0.319448375702 0.99025529623
30 0.288140428066 1.02348351479
31 0.315238291025 1.01795756817
32 0.299605509639 0.979450941086
33 0.257426321507 0.989146947861
34 0.257735368609 0.982985079288
35 0.263230535388 0.994412481785
36 0.249195334315 1.00977599621
37 0.257993790507 0.989135503769
38 0.25024728179 1.00916159153
39 0.238438972831 0.99443179369
40 0.256474375725 1.00452697277
41 0.271996533871 1.00544977188
42 0.270976889133 1.00189852715
43 0.26284763813 1.00357139111
44 0.233651050925 1.01002526283
45 0.2282961905 0.978568255901
46 0.239604008198 1.00079834461
47 0.232317474484 0.993650555611
48 0.220778107643 0.991509437561
49 0.237046203017 0.976107239723
model number is: 21884
mae:  1.05496198795
corr:  0.58654800078
mult_acc:  0.3105
mult f_score:  0.31051
Confusion Matrix :
[[277 102]
 [ 99 208]]
Classification Report :
              precision    recall  f1-score   support

       False    0.73670   0.73087   0.73377       379
        True    0.67097   0.67752   0.67423       307

   micro avg    0.70700   0.70700   0.70700       686
   macro avg    0.70383   0.70420   0.70400       686
weighted avg    0.70728   0.70700   0.70713       686

Accuracy  0.706997084548
[{'input_dims': [300, 5, 20], 'batchsize': 64, 'memsize': 256, 'windowsize': 2, 'lr': 0.01, 'num_epochs': 50, 'h_dims': [32, 80, 32], 'momentum': 0.6}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.2}, {'shapes': 32, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}, {'shapes': 256, 'drop': 0.7}]
0 1.25644621849 1.08299970627 saving model
1 0.977643883228 1.08667087555
2 0.858675253391 1.01752054691 saving model
3 0.76478587389 0.971224725246 saving model
4 0.714564213157 1.07727873325
5 0.691647067666 0.986618220806
6 0.686468996108 1.03291332722
7 0.667544531822 1.02280843258
8 0.570746204257 0.976478397846
9 0.554987159371 0.955633163452 saving model
10 0.54008487463 0.994670510292
11 0.517292618752 1.00892472267
12 0.53824056834 1.0258897543
13 0.516138398647 1.05438423157
14 0.484051015973 1.10164761543
15 0.520172464848 1.09718084335
16 0.504647791386 1.06302058697
17 0.532798442245 1.08028078079
18 0.599883955717 1.10094714165
19 0.583156763017 1.07353055477
20 0.586980481446 1.0331236124
21 0.536010298133 1.02188420296
22 0.444422349334 1.0147767067
23 0.443156075478 1.04291415215
24 0.406143054366 1.01765811443
25 0.426182922721 0.989932179451
26 0.392900584638 1.00173711777
27 0.391407416761 1.02547430992
28 0.393048645556 1.03197205067
29 0.387358406186 1.02938807011
30 0.369827376306 1.02786445618
31 0.378585962951 1.02854776382
32 0.39318241328 1.01370990276
33 0.430632311106 0.987440109253
34 0.453766334057 1.01348602772
35 0.50620419085 1.02676892281
36 0.520396819711 1.01382362843
37 0.493697781861 1.02732610703
38 0.446703289449 1.0574734211
39 0.45505682379 1.04473102093
40 0.404244998097 1.0387134552
41 0.436601136625 1.06511962414
42 0.474172249436 1.11639165878
43 0.497991797328 1.13320374489
44 0.554643556476 1.2143021822
45 0.645880609751 1.05736100674
46 0.560601453483 1.03221678734
47 0.552364273369 1.05092203617
48 0.525842450559 1.07078421116
49 0.458827920258 1.07137036324
model number is: 66747
mae:  1.04880661836
corr:  0.596991113725
mult_acc:  0.29592
mult f_score:  0.31851
Confusion Matrix :
[[286  93]
 [ 93 214]]
Classification Report :
              precision    recall  f1-score   support

       False    0.75462   0.75462   0.75462       379
        True    0.69707   0.69707   0.69707       307

   micro avg    0.72886   0.72886   0.72886       686
   macro avg    0.72584   0.72584   0.72584       686
weighted avg    0.72886   0.72886   0.72886       686

Accuracy  0.728862973761
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 300, 'windowsize': 2, 'lr': 0.008, 'num_epochs': 50, 'h_dims': [88, 32, 16], 'momentum': 0.5}, {'shapes': 64, 'drop': 0.2}, {'shapes': 64, 'drop': 0.7}, {'shapes': 128, 'drop': 0.0}, {'shapes': 32, 'drop': 0.5}, {'shapes': 32, 'drop': 0.0}]
0 1.26053971052 1.13388323784 saving model
1 0.976677250862 1.16682112217
2 0.883844399452 1.04749643803 saving model
3 0.771805584431 1.05600428581
4 0.705761498213 0.960172116756 saving model
5 0.649620378017 1.02932262421
6 0.597355747223 1.05365037918
7 0.606269019842 1.04444897175
8 0.539532023668 1.03821241856
9 0.564661812782 1.01034188271
10 0.600200283527 0.967431843281
11 0.600873684883 1.00677466393
12 0.526557642221 0.903481900692 saving model
13 0.394756224751 0.923466980457
14 0.354379969835 1.00282669067
15 0.398187376559 0.935634553432
16 0.405865511298 0.993134081364
17 0.412035468221 0.940452992916
18 0.298880840838 0.946989774704
19 0.276952661574 0.946932733059
20 0.294298750162 0.956888258457
21 0.330243115127 0.935004472733
22 0.262413077056 0.963927567005
23 0.254131567478 0.95574092865
24 0.245630696416 0.942478775978
25 0.281755881011 0.986672878265
26 0.268425378203 0.959413647652
27 0.206722177565 0.932782411575
28 0.179179106653 0.923691868782
29 0.208982031047 0.935331046581
30 0.210851991177 0.97808945179
31 0.211475242674 0.969618022442
32 0.2107002303 0.95716291666
33 0.219128982723 0.96404671669
34 0.221414282918 0.945569038391
35 0.178448204696 0.962761640549
36 0.16312398985 0.955730736256
37 0.19493406415 0.958463430405
38 0.202396292984 0.9349193573
39 0.175662767887 0.935552060604
40 0.160830627382 0.965890705585
41 0.181162628531 0.996981501579
42 0.196267698705 0.944932818413
43 0.151785828918 0.92654556036
44 0.144189181924 0.948746800423
45 0.16207382381 0.9752394557
46 0.177088990808 0.962716162205
47 0.148882973939 0.942503154278
48 0.12930681631 0.954412162304
49 0.156622236967 0.978376805782
model number is: 31976
mae:  1.00720198932
corr:  0.621227301306
mult_acc:  0.32945
mult f_score:  0.35137
Confusion Matrix :
[[290  89]
 [ 84 223]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77540   0.76517   0.77025       379
        True    0.71474   0.72638   0.72052       307

   micro avg    0.74781   0.74781   0.74781       686
   macro avg    0.74507   0.74578   0.74538       686
weighted avg    0.74826   0.74781   0.74799       686

Accuracy  0.747813411079
[{'input_dims': [300, 5, 20], 'batchsize': 128, 'memsize': 300, 'windowsize': 2, 'lr': 0.002, 'num_epochs': 50, 'h_dims': [32, 8, 48], 'momentum': 0.6}, {'shapes': 64, 'drop': 0.7}, {'shapes': 256, 'drop': 0.0}, {'shapes': 256, 'drop': 0.5}, {'shapes': 32, 'drop': 0.5}, {'shapes': 256, 'drop': 0.5}]
0 1.32288712263 1.40467190742 saving model
1 1.26673958302 1.28957045078 saving model
2 1.07336137295 1.13757324219 saving model
3 0.934136199951 1.09119451046 saving model
4 0.85868743062 1.04430174828 saving model
5 0.805789768696 1.03347218037 saving model
6 0.755938756466 1.00717747211 saving model
7 0.71149392128 1.0238751173
8 0.683773434162 1.02890360355
9 0.65022225976 0.989795029163 saving model
10 0.621605271101 1.01421689987
11 0.592436480522 0.989062428474 saving model
12 0.556001198292 0.978530704975 saving model
13 0.533820083737 1.01622068882
14 0.519351047277 1.00998497009
15 0.494796538353 0.97578984499 saving model
16 0.503306111693 1.03473508358
17 0.463389897346 1.01828885078
18 0.442816993594 0.981164932251
19 0.45819517076 1.01258921623
20 0.406780615449 1.00650024414
21 0.447378152609 1.02053129673
22 0.414877456427 0.990645051003
23 0.443191835284 1.0223916769
24 0.547414132953 1.19709825516
25 0.776492065191 1.07816374302
26 0.544825464487 0.984356343746
27 0.436292716861 1.03568994999
28 0.546452116966 0.995328426361
29 0.486435729265 1.03569102287
30 0.423443847895 0.987796902657
31 0.345033305883 0.976281285286
32 0.32786462903 0.989381551743
33 0.319870465994 0.989769160748
34 0.321327275038 1.00499939919
35 0.377521908283 0.989827632904
36 0.422764703631 1.06106865406
37 0.461474442482 0.998503684998
38 0.368562325835 0.989488482475
39 0.293285742402 0.988510727882
40 0.272439947724 0.98626935482
41 0.279639264941 0.993077158928
42 0.307615564764 1.00291466713
43 0.308925758302 1.0207504034
44 0.34116294682 1.00420629978
45 0.330049151182 1.00002944469
46 0.291294141114 1.00252497196
47 0.278632643819 0.998281240463
48 0.253295660019 0.999069571495
49 0.252185757458 1.00704228878
model number is: 2637
mae:  1.01679597304
corr:  0.612004973137
mult_acc:  0.30175
mult f_score:  0.31546
Confusion Matrix :
[[295  84]
 [ 87 220]]
Classification Report :
              precision    recall  f1-score   support

       False    0.77225   0.77836   0.77530       379
        True    0.72368   0.71661   0.72013       307

   micro avg    0.75073   0.75073   0.75073       686
   macro avg    0.74797   0.74749   0.74771       686
weighted avg    0.75052   0.75073   0.75061       686

Accuracy  0.750728862974