8916707 1935 Hilde Weerts 14 Supervised Classification 8315 sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier)(1) 6853715 categorical_features [] 7644 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7644 handle_unknown "ignore" 7644 n_values "auto" 7644 sparse true 7644 threshold 0.0 7645 bootstrap true 7684 class_weight null 7684 criterion "gini" 7684 max_depth null 7684 max_features 0.20922084649364314 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 10 7684 min_samples_split 7 7684 min_weight_fraction_leaf 0.0 7684 n_estimators 500 7684 n_jobs 1 7684 oob_score false 7684 random_state 1 7684 verbose 0 7684 warm_start false 7684 memory null 8315 axis 0 8316 categorical_features [] 8316 copy true 8316 fill_empty 0 8316 missing_values "NaN" 8316 strategy "mean" 8316 strategy_nominal "most_frequent" 8316 verbose 0 8316 openml-python Sklearn_0.19.1. study_98 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 18749046 description https://api.openml.org/data/download/18749046/description.xml -1 18749047 predictions https://api.openml.org/data/download/18749047/predictions.arff area_under_roc_curve 0.9815238888888889 [1,0.975044,0.996506,0.992239,0.976317,0.993222,0.945575,0.992625,0.998394,0.945317] average_cost 0 f_measure 0.8202614133763529 [0.992519,0.771208,0.940594,0.904523,0.78836,0.894866,0.540541,0.876457,0.964286,0.529262] kappa 0.8011111111111111 kb_relative_information_score 1477.2570125805246 mean_absolute_error 0.07683944725137622 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.821243750931536 [0.99005,0.793651,0.931373,0.909091,0.837079,0.875598,0.531401,0.820961,0.984375,0.53886] predictive_accuracy 0.821 prior_entropy 3.321928094887362 recall 0.821 [0.995,0.75,0.95,0.9,0.745,0.915,0.55,0.94,0.945,0.52] relative_absolute_error 0.42688581806318804 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.16995535955052174 root_relative_squared_error 0.5665178651683971 total_cost 0 area_under_roc_curve 0.9786944444444445 [1,0.976111,0.994722,0.996111,0.959167,1,0.914167,0.991944,0.998889,0.955833] area_under_roc_curve 0.980138888888889 [1,0.975278,0.995833,0.989167,0.9625,0.992222,0.950833,0.989167,0.9975,0.948889] area_under_roc_curve 0.9796944444444445 [1,0.979444,1,0.981111,0.982778,0.993611,0.920278,0.992778,1,0.946944] area_under_roc_curve 0.98625 [1,0.981667,0.994167,0.994722,0.991944,0.993333,0.971667,0.995556,0.997778,0.941667] area_under_roc_curve 0.9830555555555557 [1,0.969444,0.998333,0.993333,0.991389,0.993056,0.9525,0.994167,1,0.938333] area_under_roc_curve 0.9836111111111111 [1,0.9725,1,0.994444,0.993333,0.991111,0.946389,0.993056,0.998611,0.946667] area_under_roc_curve 0.9812222222222223 [1,0.9725,0.996944,0.994167,0.974167,0.9825,0.971111,0.989444,1,0.931389] area_under_roc_curve 0.9845277777777778 [1,0.9675,0.997778,0.994444,0.973333,0.996389,0.956667,0.996111,0.996944,0.966111] area_under_roc_curve 0.9821944444444445 [1,0.980556,1,0.9975,0.981944,0.987778,0.942222,0.996111,1,0.935833] area_under_roc_curve 0.9783611111111112 [1,0.983056,0.988611,0.993333,0.955,0.999722,0.929444,0.993611,0.996111,0.944722] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.7906943150887383 [0.974359,0.829268,0.883721,0.947368,0.8,0.974359,0.315789,0.878049,0.923077,0.380952] f_measure 0.8026650462868371 [1,0.810811,0.926829,0.878049,0.685714,0.837209,0.514286,0.790698,0.974359,0.608696] f_measure 0.8165666041275798 [1,0.731707,0.974359,0.8,0.8,0.9,0.487805,0.871795,1,0.6] f_measure 0.8444744322857286 [1,0.789474,0.974359,0.926829,0.772727,0.878049,0.7,0.85,0.974359,0.578947] f_measure 0.7899309779875605 [1,0.628571,0.947368,0.9,0.722222,0.869565,0.536585,0.808511,1,0.486486] f_measure 0.8389172659910646 [1,0.8,0.952381,0.894737,0.85,0.9,0.652174,0.952381,0.95,0.4375] f_measure 0.8477098016172573 [1,0.789474,0.923077,0.95,0.8,0.883721,0.666667,0.869565,1,0.594595] f_measure 0.8400147400262336 [1,0.731707,0.95,0.904762,0.842105,0.871795,0.619048,0.930233,0.918919,0.631579] f_measure 0.8289725014604065 [1,0.8,0.97561,0.952381,0.764706,0.9,0.45,0.888889,1,0.55814] f_measure 0.7970972003652542 [0.952381,0.790698,0.904762,0.888889,0.833333,0.947368,0.428571,0.930233,0.894737,0.4] kappa 0.7666666666666667 kappa 0.7833333333333334 kappa 0.7944444444444444 kappa 0.8277777777777777 kappa 0.7722222222222223 kappa 0.8277777777777777 kappa 0.8333333333333333 kappa 0.8222222222222222 kappa 0.8111111111111111 kappa 0.7722222222222223 kb_relative_information_score 146.19255024660941 kb_relative_information_score 147.42491416038573 kb_relative_information_score 146.2080026578261 kb_relative_information_score 149.19951617250638 kb_relative_information_score 146.7589136772655 kb_relative_information_score 150.16565251296672 kb_relative_information_score 148.0157622897908 kb_relative_information_score 148.37588003096323 kb_relative_information_score 150.35229630667126 kb_relative_information_score 144.56352452553713 mean_absolute_error 0.07905985782735697 mean_absolute_error 0.07660495099184982 mean_absolute_error 0.07849933298298295 mean_absolute_error 0.0754380096114372 mean_absolute_error 0.07770437923770816 mean_absolute_error 0.07465031651687383 mean_absolute_error 0.07675008003014341 mean_absolute_error 0.07663447652960065 mean_absolute_error 0.07440793121985446 mean_absolute_error 0.07864513756595526 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.7937091741210734 [1,0.809524,0.826087,1,0.8,1,0.333333,0.857143,0.947368,0.363636] precision 0.8104458371977554 [1,0.882353,0.904762,0.857143,0.8,0.782609,0.6,0.73913,1,0.538462] precision 0.8185213032581453 [1,0.714286,1,0.8,0.8,0.9,0.47619,0.894737,1,0.6] precision 0.8464682539682539 [1,0.833333,1,0.904762,0.708333,0.857143,0.7,0.85,1,0.611111] precision 0.7971989094783213 [1,0.733333,1,0.9,0.8125,0.769231,0.52381,0.703704,1,0.529412] precision 0.8422882672882672 [1,0.8,0.909091,0.944444,0.85,0.9,0.576923,0.909091,0.95,0.583333] precision 0.8542775273364854 [1,0.833333,0.947368,0.95,0.933333,0.826087,0.636364,0.769231,1,0.647059] precision 0.8438688783883292 [1,0.714286,0.95,0.863636,0.888889,0.894737,0.590909,0.869565,1,0.666667] precision 0.8395115753811406 [1,0.933333,0.952381,0.909091,0.928571,0.9,0.45,0.8,1,0.521739] precision 0.807245827843654 [0.909091,0.73913,0.863636,1,0.9375,1,0.409091,0.869565,0.944444,0.4] predictive_accuracy 0.79 predictive_accuracy 0.805 predictive_accuracy 0.815 predictive_accuracy 0.845 predictive_accuracy 0.795 predictive_accuracy 0.845 predictive_accuracy 0.85 predictive_accuracy 0.84 predictive_accuracy 0.83 predictive_accuracy 0.795 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 recall 0.79 [0.95,0.85,0.95,0.9,0.8,0.95,0.3,0.9,0.9,0.4] recall 0.805 [1,0.75,0.95,0.9,0.6,0.9,0.45,0.85,0.95,0.7] recall 0.815 [1,0.75,0.95,0.8,0.8,0.9,0.5,0.85,1,0.6] recall 0.845 [1,0.75,0.95,0.95,0.85,0.9,0.7,0.85,0.95,0.55] recall 0.795 [1,0.55,0.9,0.9,0.65,1,0.55,0.95,1,0.45] recall 0.845 [1,0.8,1,0.85,0.85,0.9,0.75,1,0.95,0.35] recall 0.85 [1,0.75,0.9,0.95,0.7,0.95,0.7,1,1,0.55] recall 0.84 [1,0.75,0.95,0.95,0.8,0.85,0.65,1,0.85,0.6] recall 0.83 [1,0.7,1,1,0.65,0.9,0.45,1,1,0.6] recall 0.795 [1,0.85,0.95,0.8,0.75,0.9,0.45,1,0.85,0.4] relative_absolute_error 0.43922143237420586 relative_absolute_error 0.4255830610658327 relative_absolute_error 0.4361074054610169 relative_absolute_error 0.4191000533968738 relative_absolute_error 0.4316909957650459 relative_absolute_error 0.41472398064929955 relative_absolute_error 0.4263893335007973 relative_absolute_error 0.42574709183111514 relative_absolute_error 0.4133773956658586 relative_absolute_error 0.4369174309219742 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.1738878302557347 root_mean_squared_error 0.17336139806105316 root_mean_squared_error 0.17229818382049022 root_mean_squared_error 0.1656864667801413 root_mean_squared_error 0.1720077005285001 root_mean_squared_error 0.16447383110133848 root_mean_squared_error 0.1694831306258823 root_mean_squared_error 0.16884501024604837 root_mean_squared_error 0.16410176245020427 root_mean_squared_error 0.17497878008364334 root_relative_squared_error 0.5796261008524494 root_relative_squared_error 0.5778713268701775 root_relative_squared_error 0.5743272794016344 root_relative_squared_error 0.5522882226004713 root_relative_squared_error 0.5733590017616672 root_relative_squared_error 0.5482461036711286 root_relative_squared_error 0.5649437687529414 root_relative_squared_error 0.5628167008201616 root_relative_squared_error 0.5470058748340145 root_relative_squared_error 0.5832626002788115 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 9848.638841998763 usercpu_time_millis 11093.83068599709 usercpu_time_millis 11018.672901001992 usercpu_time_millis 11013.296105997142 usercpu_time_millis 10997.506685002008 usercpu_time_millis 10827.862570000434 usercpu_time_millis 10795.371010004601 usercpu_time_millis 10932.743359997403 usercpu_time_millis 11254.080896000232 usercpu_time_millis 10989.881338999112 usercpu_time_millis_testing 96.09971099780523 usercpu_time_millis_testing 91.59916899807286 usercpu_time_millis_testing 98.2614390013623 usercpu_time_millis_testing 91.08820599794853 usercpu_time_millis_testing 91.07459700317122 usercpu_time_millis_testing 89.48106000025291 usercpu_time_millis_testing 100.22215300341486 usercpu_time_millis_testing 91.83402199778357 usercpu_time_millis_testing 140.4957699996885 usercpu_time_millis_testing 88.81092299998272 usercpu_time_millis_training 9752.539131000958 usercpu_time_millis_training 11002.231516999018 usercpu_time_millis_training 10920.41146200063 usercpu_time_millis_training 10922.207899999194 usercpu_time_millis_training 10906.432087998837 usercpu_time_millis_training 10738.381510000181 usercpu_time_millis_training 10695.148857001186 usercpu_time_millis_training 10840.90933799962 usercpu_time_millis_training 11113.585126000544 usercpu_time_millis_training 10901.07041599913