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