mirror of
https://github.com/microsoft/FLAML.git
synced 2026-02-09 02:09:16 +08:00
* precommit: end-of-file-fixer * exclude .gitignore * apply --------- Co-authored-by: Shaokun <shaokunzhang529@gmail.com>
1329 lines
33 KiB
JSON
1329 lines
33 KiB
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"
|
|
]
|
|
}
|