multiclass.json

{
    "version": "1.0.2",
    "meta_feature_names": [
        "NumberOfInstances","NumberOfFeatures","NumberOfClasses","PercentageOfNumericFeatures"
    ],
    "portfolio": [
        {
            "class": "lgbm",
            "hyperparameters": {
                "n_estimators": 134,
                "num_leaves": 225,
                "min_child_samples": 21,
                "learning_rate": 0.10182098014295998,
                "log_max_bin": 5,
                "colsample_bytree": 0.6103565306428956,
                "reg_alpha": 0.0009765625,
                "reg_lambda": 40.413729576022625
            }
        },
        {
            "class": "lgbm",
            "hyperparameters": {
                "n_estimators": 3726,
                "num_leaves": 155,
                "min_child_samples": 4,
                "learning_rate": 0.040941607728296484,
                "log_max_bin": 5,
                "colsample_bytree": 0.5326256194627191,
                "reg_alpha": 0.7408711930398492,
                "reg_lambda": 0.5467731065349226
            }
        },
        {
            "class": "lgbm",
            "hyperparameters": {
                "n_estimators": 573,
                "num_leaves": 16,
                "min_child_samples": 52,
                "learning_rate": 0.2422782244991656,
                "log_max_bin": 7,
                "colsample_bytree": 1.0,
                "reg_alpha": 0.03433194930183514,
                "reg_lambda": 0.03870494540146326
            }
        },
        {
            "class": "lgbm",
            "hyperparameters": {
                "n_estimators": 2931,
                "num_leaves": 106,
                "min_child_samples": 49,
                "learning_rate": 0.007146230961642236,
                "log_max_bin": 7,
                "colsample_bytree": 0.46947896116006055,
                "reg_alpha": 0.37428758811879526,
                "reg_lambda": 23.639977131692564
            }
        },
        {
            "class": "lgbm",
            "hyperparameters": {
                "n_estimators": 241,
                "num_leaves": 58,
                "min_child_samples": 2,
                "learning_rate": 0.022730855281657265,
                "log_max_bin": 5,
                "colsample_bytree": 0.5620897082415793,
                "reg_alpha": 0.0031614554887399314,
                "reg_lambda": 0.02175056245188971
            }
        },
        {
            "class": "lgbm",
            "hyperparameters": {
                "n_estimators": 8353,
                "num_leaves": 371,
                "min_child_samples": 71,
                "learning_rate": 0.017965875630873252,
                "log_max_bin": 10,
                "colsample_bytree": 0.9002082433803926,
                "reg_alpha": 0.4864366003694002,
                "reg_lambda": 0.024138585745106363,
                "FLAML_sample_size": 470619
            }
        },
        {
            "class": "lgbm",
            "hyperparameters": {
                "n_estimators": 320,
                "num_leaves": 24,
                "min_child_samples": 53,
                "learning_rate": 0.019316895546068795,
                "log_max_bin": 6,
                "colsample_bytree": 0.3955693254372702,
                "reg_alpha": 0.0013785083170001627,
                "reg_lambda": 0.04644365636517757
            }
        },
        {
            "class": "lgbm",
            "hyperparameters": {
                "n_estimators": 733,
                "num_leaves": 11,
                "min_child_samples": 94,
                "learning_rate": 0.06276798296942972,
                "log_max_bin": 6,
                "colsample_bytree": 0.6341928918435795,
                "reg_alpha": 0.5811038918218691,
                "reg_lambda": 43.304997517523944
            }
        },
        {
            "class": "lgbm",
            "hyperparameters": {}
        },
        {
            "class": "xgboost",
            "hyperparameters": {
                "n_estimators": 392,
                "max_leaves": 46,
                "min_child_weight": 0.20655273911443411,
                "learning_rate": 0.08039123467849849,
                "subsample": 0.6482821473906787,
                "colsample_bylevel": 0.5448604029329934,
                "colsample_bytree": 0.4211786481671673,
                "reg_alpha": 0.029040644754759502,
                "reg_lambda": 4.60220206538413
            }
        },
        {
            "class": "xgboost",
            "hyperparameters": {
                "n_estimators": 6357,
                "max_leaves": 206,
                "min_child_weight": 1.9495322566288034,
                "learning_rate": 0.0068766724195393905,
                "subsample": 0.9451618245005704,
                "colsample_bylevel": 0.9030482524943064,
                "colsample_bytree": 0.9278972006416252,
                "reg_alpha": 0.01857648400903689,
                "reg_lambda": 6.021166480604588,
                "FLAML_sample_size": 344444
            }
        },
        {
            "class": "xgboost",
            "hyperparameters": {
                "n_estimators": 1067,
                "max_leaves": 55,
                "min_child_weight": 1.578700876556201,
                "learning_rate": 0.01882776721912098,
                "subsample": 0.6486829588043383,
                "colsample_bylevel": 1.0,
                "colsample_bytree": 0.6470978147570122,
                "reg_alpha": 0.2623396481373557,
                "reg_lambda": 12.320026567378322
            }
        },
        {
            "class": "xgboost",
            "hyperparameters": {
                "n_estimators": 765,
                "max_leaves": 6,
                "min_child_weight": 0.001,
                "learning_rate": 1.0,
                "subsample": 0.9833803894285497,
                "colsample_bylevel": 1.0,
                "colsample_bytree": 1.0,
                "reg_alpha": 0.0012553728257619922,
                "reg_lambda": 0.03280542610559108
            }
        },
        {
            "class": "xgboost",
            "hyperparameters": {
                "n_estimators": 2866,
                "max_leaves": 2954,
                "min_child_weight": 0.003652484923138387,
                "learning_rate": 0.006320484540131336,
                "subsample": 0.45886345839532916,
                "colsample_bylevel": 0.4143419565729296,
                "colsample_bytree": 0.9117641224108227,
                "reg_alpha": 0.2873746517375349,
                "reg_lambda": 17.04964039639045
            }
        },
        {
            "class": "xgboost",
            "hyperparameters": {
                "n_estimators": 512,
                "max_leaves": 3194,
                "min_child_weight": 0.004561511536080627,
                "learning_rate": 0.05288849444758447,
                "subsample": 0.8653058105000044,
                "colsample_bylevel": 0.8833689901424637,
                "colsample_bytree": 0.9505209943737727,
                "reg_alpha": 0.0037017878164852017,
                "reg_lambda": 2.1872397928745113,
                "FLAML_sample_size": 470620
            }
        },
        {
            "class": "xgboost",
            "hyperparameters": {
                "n_estimators": 335,
                "max_leaves": 37,
                "min_child_weight": 0.0013851539632487603,
                "learning_rate": 0.2593737370075479,
                "subsample": 0.9810091528571387,
                "colsample_bylevel": 0.9484250613084422,
                "colsample_bytree": 0.192606132199437,
                "reg_alpha": 0.10585986776049093,
                "reg_lambda": 0.017684465384509407
            }
        },
        {
            "class": "xgboost",
            "hyperparameters": {
                "n_estimators": 8315,
                "max_leaves": 4,
                "min_child_weight": 0.7673654415794792,
                "learning_rate": 0.002432260930606481,
                "subsample": 0.8476000618302348,
                "colsample_bylevel": 0.8815698870579244,
                "colsample_bytree": 0.7057137578225323,
                "reg_alpha": 0.0016838090603716895,
                "reg_lambda": 0.28815989841009226
            }
        },
        {
            "class": "xgboost",
            "hyperparameters": {
                "n_estimators": 319,
                "max_leaves": 1312,
                "min_child_weight": 0.001,
                "learning_rate": 0.01872379806270421,
                "subsample": 0.6890079660561895,
                "colsample_bylevel": 0.7551225121854014,
                "colsample_bytree": 0.7860755604500558,
                "reg_alpha": 0.17028752704343114,
                "reg_lambda": 1.4375743264564231
            }
        },
        {
            "class": "xgboost",
            "hyperparameters": {
                "n_estimators": 5739,
                "max_leaves": 5,
                "min_child_weight": 0.1359602026207002,
                "learning_rate": 0.14496176867613397,
                "subsample": 0.864897070662231,
                "colsample_bylevel": 0.01,
                "colsample_bytree": 0.9394057513384305,
                "reg_alpha": 0.001103317921178771,
                "reg_lambda": 0.1655504349283218
            }
        },
        {
            "class": "xgboost",
            "hyperparameters": {
                "n_estimators": 3369,
                "max_leaves": 23,
                "min_child_weight": 0.006136645605168392,
                "learning_rate": 0.05726537983358939,
                "subsample": 1.0,
                "colsample_bylevel": 1.0,
                "colsample_bytree": 1.0,
                "reg_alpha": 0.40981311572427176,
                "reg_lambda": 4.343877111132155
            }
        },
        {
            "class": "xgb_limitdepth",
            "hyperparameters": {
                "n_estimators": 1191,
                "max_depth": 13,
                "min_child_weight": 6.4007885677724605,
                "learning_rate": 0.037622775650237326,
                "subsample": 1.0,
                "colsample_bylevel": 0.3697773165627811,
                "colsample_bytree": 0.813871237069598,
                "reg_alpha": 0.0009765625,
                "reg_lambda": 1.075702708240612
            }
        },
        {
            "class": "xgb_limitdepth",
            "hyperparameters": {
                "n_estimators": 1499,
                "max_depth": 11,
                "min_child_weight": 0.07563529776156448,
                "learning_rate": 0.039042609221240955,
                "subsample": 0.7832981935783824,
                "colsample_bylevel": 1.0,
                "colsample_bytree": 1.0,
                "reg_alpha": 0.0009765625,
                "reg_lambda": 23.513066752844153
            }
        },
        {
            "class": "xgb_limitdepth",
            "hyperparameters": {
                "n_estimators": 313,
                "max_depth": 7,
                "min_child_weight": 30.424259012001368,
                "learning_rate": 0.08466828646360688,
                "subsample": 0.9897083979469301,
                "colsample_bylevel": 0.6769490906308069,
                "colsample_bytree": 1.0,
                "reg_alpha": 0.0014544085935366477,
                "reg_lambda": 34.09911172306857
            }
        },
        {
            "class": "xgb_limitdepth",
            "hyperparameters": {
                "n_estimators": 566,
                "max_depth": 13,
                "min_child_weight": 0.013176186839973599,
                "learning_rate": 0.09285619488896565,
                "subsample": 0.5897287493640815,
                "colsample_bylevel": 0.923664288991597,
                "colsample_bytree": 0.8244714790646485,
                "reg_alpha": 0.023484974838756726,
                "reg_lambda": 0.5690298249126402,
                "FLAML_sample_size": 470620
            }
        },
        {
            "class": "xgb_limitdepth",
            "hyperparameters": {}
        },
        {
            "class": "xgb_limitdepth",
            "hyperparameters": {
                "n_estimators": 971,
                "max_depth": 8,
                "min_child_weight": 0.0044052948947322645,
                "learning_rate": 0.15171239415469703,
                "subsample": 0.8340342805529243,
                "colsample_bylevel": 0.9489310919814007,
                "colsample_bytree": 0.022724724669028674,
                "reg_alpha": 0.0009765625,
                "reg_lambda": 0.0025897714798936954
            }
        },
        {
            "class": "xgb_limitdepth",
            "hyperparameters": {
                "n_estimators": 464,
                "max_depth": 2,
                "min_child_weight": 0.0068282719220722,
                "learning_rate": 0.07962498837600937,
                "subsample": 0.47139986510869014,
                "colsample_bylevel": 0.4814471959023239,
                "colsample_bytree": 0.6050207253592859,
                "reg_alpha": 0.0010290828959872173,
                "reg_lambda": 0.0103104214002687
            }
        },
        {
            "class": "xgb_limitdepth",
            "hyperparameters": {
                "n_estimators": 1799,
                "max_depth": 3,
                "min_child_weight": 0.0010034151843327725,
                "learning_rate": 0.03453775119035777,
                "subsample": 0.31322065037892344,
                "colsample_bylevel": 1.0,
                "colsample_bytree": 0.2219038021462818,
                "reg_alpha": 0.03885163786709896,
                "reg_lambda": 1.1077175359756786
            }
        },
        {
            "class": "rf",
            "hyperparameters": {
                "n_estimators": 1000,
                "max_features": 0.1779692423238241,
                "max_leaves": 7499,
                "criterion": "gini"
            }
        },
        {
            "class": "rf",
            "hyperparameters": {
                "n_estimators": 400,
                "max_features": 0.8961466398827462,
                "max_leaves": 25095,
                "criterion": "entropy",
                "FLAML_sample_size": 470620
            }
        },
        {
            "class": "rf",
            "hyperparameters": {
                "n_estimators": 470,
                "max_features": 0.12698484669953783,
                "max_leaves": 31499,
                "criterion": "entropy"
            }
        },
        {
            "class": "rf",
            "hyperparameters": {
                "n_estimators": 632,
                "max_features": 1.0,
                "max_leaves": 1360,
                "criterion": "entropy"
            }
        },
        {
            "class": "rf",
            "hyperparameters": {
                "n_estimators": 1713,
                "max_features": 0.40966311008832224,
                "max_leaves": 10210,
                "criterion": "entropy",
                "FLAML_sample_size": 105352
            }
        },
        {
            "class": "rf",
            "hyperparameters": {}
        },
        {
            "class": "extra_tree",
            "hyperparameters": {
                "n_estimators": 1074,
                "max_features": 0.6008299059364026,
                "max_leaves": 9287
            }
        },
        {
            "class": "extra_tree",
            "hyperparameters": {
                "n_estimators": 833,
                "max_features": 0.055027081530106846,
                "max_leaves": 1361,
                "criterion": "gini"
            }
        },
        {
            "class": "extra_tree",
            "hyperparameters": {
                "n_estimators": 2047,
                "max_features": 0.9560062760906606,
                "max_leaves": 32767,
                "criterion": "entropy",
                "FLAML_sample_size": 470620
            }
        },
        {
            "class": "extra_tree",
            "hyperparameters": {
                "n_estimators": 812,
                "max_features": 1.0,
                "max_leaves": 1474,
                "criterion": "entropy"
            }
        },
        {
            "class": "extra_tree",
            "hyperparameters": {
                "n_estimators": 2047,
                "max_features": 1.0,
                "max_leaves": 18344
            }
        },
        {
            "class": "extra_tree",
            "hyperparameters": {}
        }
    ],
    "preprocessing": {
        "center": [
            40337.0,
            54.0,
            7.0,
            1.0
        ],
        "scale": [
            58722.0,
            766.0,
            6.0,
            1.0
        ]
    },
    "neighbors": [
        {
            "features": [
                8.217925138789552,
                0.0,
                0.0,
                -0.8148148148148149
            ],
            "choice": [
                5,
                23,
                29,
                36,
                1,
                32,
                33,
                19,
                14,
                13,
                20,
                10,
                38,
                17,
                39,
                30,
                0,
                3,
                34,
                2,
                28,
                11,
                31,
                24,
                9,
                15,
                22,
                7,
                37,
                4,
                8,
                6,
                18,
                27,
                26,
                16,
                25,
                35,
                12
            ]
        },
        {
            "features": [
                5.691767991553421,
                0.007832898172323759,
                58.0,
                0.0
            ],
            "choice": [
                0,
                28,
                33,
                34,
                35,
                30,
                37,
                7,
                9,
                8,
                6,
                4,
                15,
                2,
                39
            ]
        },
        {
            "features": [
                0.385937127482034,
                0.9530026109660574,
                0.5,
                0.0
            ],
            "choice": [
                3,
                22,
                0,
                4,
                1,
                20,
                7,
                9,
                11,
                19,
                27,
                8,
                24,
                5,
                6,
                15,
                17,
                23,
                36,
                18,
                2,
                32,
                34,
                26,
                38,
                30,
                29,
                31,
                37,
                28,
                39,
                25,
                33,
                35,
                12
            ]
        },
        {
            "features": [
                0.3123020333094922,
                -0.03524804177545692,
                15.5,
                0.0
            ],
            "choice": [
                11,
                3,
                0,
                22,
                7,
                6,
                27,
                9,
                16,
                17,
                20,
                26,
                38,
                1,
                34,
                14,
                4,
                28,
                5,
                37,
                23,
                36,
                31,
                19,
                25,
                18,
                30,
                29,
                15,
                33,
                12,
                24,
                35,
                39,
                2,
                8
            ]
        },
        {
            "features": [
                0.5964033922550321,
                0.0,
                -0.5,
                0.0
            ],
            "choice": [
                3,
                0,
                11,
                22,
                17,
                9,
                24,
                13,
                7,
                4,
                8,
                19,
                10,
                20,
                6,
                36,
                21,
                38,
                32,
                27,
                29,
                18,
                31,
                28,
                34,
                15,
                2,
                30,
                37,
                26,
                16,
                33,
                39,
                1,
                14,
                5,
                25,
                23,
                35,
                12
            ]
        },
        {
            "features": [
                -0.5336500800381458,
                9.328981723237598,
                0.5,
                0.0
            ],
            "choice": [
                22,
                0,
                27,
                26,
                24,
                25,
                28,
                34,
                35,
                33,
                20,
                37,
                30,
                3,
                9,
                7,
                6,
                8,
                15,
                4,
                1,
                2,
                39,
                12
            ]
        },
        {
            "features": [
                0.20201968597799802,
                -0.0587467362924282,
                0.0,
                0.0
            ],
            "choice": [
                4,
                6,
                1,
                7,
                37,
                36,
                38,
                34,
                19,
                21,
                29,
                39,
                32,
                12,
                33,
                24,
                9,
                26,
                14,
                10,
                16,
                23,
                15,
                27,
                11,
                20,
                5,
                13,
                3,
                18,
                31,
                35,
                0,
                25,
                28,
                30,
                22,
                17,
                2,
                8
            ]
        },
        {
            "features": [
                0.20677088655018563,
                0.16449086161879894,
                0.5,
                0.0
            ],
            "choice": [
                3,
                20,
                21,
                0,
                10,
                9,
                11,
                19,
                1,
                5,
                24,
                7,
                22,
                4,
                17,
                8,
                15,
                36,
                38,
                14,
                18,
                32,
                29,
                27,
                34,
                6,
                30,
                2,
                28,
                23,
                31,
                37,
                33,
                39,
                26,
                16,
                35,
                25,
                12
            ]
        },
        {
            "features": [
                -0.6604339089268076,
                -0.06266318537859007,
                -0.5,
                -1.0
            ],
            "choice": [
                12,
                18,
                8,
                2,
                24,
                23,
                14,
                19,
                21,
                10,
                5,
                31,
                38,
                36,
                29,
                1,
                34,
                20,
                33,
                32,
                16,
                39,
                7,
                25,
                3,
                11,
                26,
                17,
                13,
                4,
                0,
                30,
                28,
                15,
                9,
                35,
                22,
                27,
                37,
                6
            ]
        },
        {
            "features": [
                -0.6703620448894793,
                1.0469973890339426,
                0.3333333333333333,
                0.0
            ],
            "choice": [
                15,
                25,
                4,
                18,
                9,
                23,
                14,
                21,
                27,
                26,
                19,
                13,
                17,
                1,
                16,
                24,
                10,
                35,
                39,
                11,
                28,
                33,
                30,
                8,
                20,
                0,
                12,
                2,
                32,
                34,
                29,
                3,
                31,
                6,
                36,
                38,
                37,
                5,
                7,
                22
            ]
        },
        {
            "features": [
                0.34848949286468445,
                -0.015665796344647518,
                -0.6666666666666666,
                -1.0
            ],
            "choice": [
                1,
                10,
                21,
                20,
                5,
                19,
                2,
                13,
                14,
                23,
                17,
                3,
                0,
                15,
                11,
                24,
                9,
                22,
                12,
                34,
                32,
                8,
                7,
                18,
                30,
                4,
                28,
                33,
                36,
                37,
                27,
                39,
                29,
                38,
                31,
                6,
                25,
                26,
                16,
                35
            ]
        },
        {
            "features": [
                -0.5336500800381458,
                2.5404699738903394,
                -0.3333333333333333,
                0.0
            ],
            "choice": [
                9,
                2,
                18,
                25,
                8,
                23,
                27,
                15,
                19,
                20,
                4,
                5,
                24,
                7,
                14,
                3,
                1,
                11,
                6,
                0,
                22,
                17,
                26,
                12,
                37,
                36,
                16,
                38,
                34,
                35,
                32,
                31,
                29,
                30,
                28,
                39,
                33
            ]
        },
        {
            "features": [
                -0.5606757263036,
                0.9738903394255874,
                0.0,
                0.0
            ],
            "choice": [
                17,
                4,
                13,
                35,
                1,
                9,
                11,
                30,
                21,
                8,
                0,
                23,
                32,
                24,
                20,
                28,
                19,
                10,
                31,
                14,
                39,
                27,
                3,
                15,
                29,
                25,
                6,
                33,
                37,
                26,
                36,
                34,
                18,
                16,
                38,
                5,
                7,
                2,
                22,
                12
            ]
        },
        {
            "features": [
                0.0,
                -0.06266318537859007,
                -0.6666666666666666,
                0.0
            ],
            "choice": [
                19,
                2,
                12,
                1,
                24,
                5,
                18,
                10,
                22,
                31,
                37,
                20,
                8,
                13,
                0,
                21,
                7,
                23,
                3,
                11,
                17,
                14,
                29,
                4,
                9,
                34,
                32,
                28,
                33,
                30,
                16,
                35,
                26,
                6,
                27,
                15,
                25,
                39,
                36,
                38
            ]
        },
        {
            "features": [
                -0.6562617077075031,
                0.21148825065274152,
                0.5,
                0.0
            ],
            "choice": [
                27,
                9,
                24,
                18,
                10,
                2,
                16,
                26,
                20,
                6,
                7,
                25,
                14,
                5,
                23,
                3,
                21,
                19,
                15,
                1,
                11,
                4,
                8,
                13,
                17,
                0,
                38,
                36,
                37,
                34,
                32,
                28,
                22,
                31,
                29,
                30,
                33,
                39,
                35,
                12
            ]
        },
        {
            "features": [
                -0.6515105071353156,
                -0.04960835509138381,
                0.0,
                0.0
            ],
            "choice": [
                37,
                36,
                38,
                34,
                9,
                29,
                26,
                39,
                32,
                31,
                6,
                11,
                1,
                3,
                20,
                33,
                10,
                16,
                27,
                17,
                7,
                13,
                30,
                5,
                28,
                21,
                14,
                4,
                15,
                35,
                0,
                19,
                23,
                2,
                24,
                22,
                8,
                18,
                12,
                25
            ]
        },
        {
            "features": [
                -0.6739552467559007,
                -0.04699738903394256,
                -0.5,
                0.0
            ],
            "choice": [
                31,
                29,
                16,
                26,
                6,
                32,
                38,
                37,
                36,
                21,
                13,
                7,
                34,
                3,
                17,
                11,
                33,
                1,
                28,
                27,
                0,
                9,
                39,
                30,
                22,
                14,
                19,
                20,
                10,
                4,
                23,
                35,
                15,
                24,
                5,
                8,
                2,
                18,
                12,
                25
            ]
        }
    ],
    "configsource": [
        "lgbm/Helena",
        "lgbm/connect-4",
        "lgbm/jungle_chess_2pcs_raw_endgame_complete",
        "lgbm/Jannis",
        "lgbm/fabert",
        "lgbm/Covertype",
        "lgbm/segment",
        "lgbm/APSFailure",
        "lgbm/default",
        "xgboost/segment",
        "xgboost/Albert",
        "xgboost/Helena",
        "xgboost/car",
        "xgboost/house_8L",
        "xgboost/Covertype",
        "xgboost/cnae-9",
        "xgboost/KDDCup09_appetency",
        "xgboost/fabert",
        "xgboost/dilbert",
        "xgboost/jungle_chess_2pcs_raw_endgame_complete",
        "xgb_limitdepth/guillermo",
        "xgb_limitdepth/connect-4",
        "xgb_limitdepth/Helena",
        "xgb_limitdepth/Covertype",
        "xgb_limitdepth/default",
        "xgb_limitdepth/cnae-9",
        "xgb_limitdepth/vehicle",
        "xgb_limitdepth/mfeat-factors",
        "rf/Helena",
        "rf/Covertype",
        "rf/Fashion-MNIST",
        "rf/jungle_chess_2pcs_raw_endgame_complete",
        "rf/MiniBooNE",
        "rf/default",
        "extra_tree/houses",
        "extra_tree/fabert",
        "extra_tree/Covertype",
        "extra_tree/Amazon_employee_access",
        "extra_tree/fried",
        "extra_tree/default"
    ]
}