8911031 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) 6848287 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 false 7684 class_weight null 7684 criterion "gini" 7684 max_depth null 7684 max_features 0.8875374569208283 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 12 7684 min_samples_split 13 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 18737748 description https://api.openml.org/data/download/18737748/description.xml -1 18737749 predictions https://api.openml.org/data/download/18737749/predictions.arff area_under_roc_curve 0.9704316666666666 [0.9997,0.95754,0.987585,0.973389,0.945142,0.9883,0.934053,0.985881,0.995017,0.937711] average_cost 0 f_measure 0.7773573797765875 [0.975369,0.702326,0.888889,0.830287,0.69657,0.845771,0.531707,0.841346,0.934726,0.526582] kappa 0.7516666666666666 kb_relative_information_score 1525.805090109966 mean_absolute_error 0.0611668881604154 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7804220970446464 [0.961165,0.656522,0.897959,0.868852,0.73743,0.841584,0.519048,0.810185,0.978142,0.533333] predictive_accuracy 0.7765000000000001 prior_entropy 3.321928094887362 recall 0.7765 [0.99,0.755,0.88,0.795,0.66,0.85,0.545,0.875,0.895,0.52] relative_absolute_error 0.33981604533563065 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.17545510910721165 root_relative_squared_error 0.5848503636906967 total_cost 0 area_under_roc_curve 0.9728055555555557 [0.999444,0.959167,0.985,0.981944,0.955278,0.998611,0.929167,0.97,0.996944,0.9525] area_under_roc_curve 0.9666111111111111 [0.998889,0.973889,0.975278,0.986111,0.9075,0.984167,0.933889,0.981389,0.986111,0.938889] area_under_roc_curve 0.9634166666666667 [1,0.952222,0.995556,0.9425,0.958056,0.985556,0.894167,0.984167,1,0.921944] area_under_roc_curve 0.977777777777778 [1,0.944722,0.989167,0.991111,0.973889,0.997778,0.956944,0.99,0.9975,0.936667] area_under_roc_curve 0.9794722222222222 [1,0.964167,0.998056,0.9925,0.973889,0.987778,0.944167,0.990556,0.996944,0.946667] area_under_roc_curve 0.9773611111111111 [1,0.961944,1,0.972778,0.976389,0.991111,0.933611,0.993056,0.998056,0.946667] area_under_roc_curve 0.9712777777777777 [1,0.975556,0.970556,0.980556,0.948889,0.981944,0.961389,0.983889,0.999444,0.910556] area_under_roc_curve 0.9689722222222221 [1,0.963611,0.995278,0.942222,0.91,0.996111,0.943611,0.993056,0.9875,0.958333] area_under_roc_curve 0.9740555555555556 [1,0.941111,0.998889,0.995833,0.942778,0.975833,0.941944,0.990833,1,0.953333] area_under_roc_curve 0.959527777777778 [1,0.953889,0.979444,0.956944,0.913611,0.991111,0.906111,0.991389,0.991944,0.910833] 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 0.7630408680747945 [0.97561,0.693878,0.829268,0.864865,0.634146,0.864865,0.512821,0.722222,0.947368,0.585366] f_measure 0.7486851274527783 [0.926829,0.761905,0.8,0.842105,0.666667,0.8,0.487805,0.780488,0.947368,0.473684] f_measure 0.7369238503384845 [1,0.636364,0.918919,0.702703,0.681818,0.829268,0.358974,0.777778,0.97561,0.487805] f_measure 0.7848896750289412 [1,0.634146,0.883721,0.85,0.697674,0.8,0.651163,0.829268,0.947368,0.555556] f_measure 0.7774347782767161 [0.97561,0.615385,0.894737,0.878049,0.736842,0.820513,0.536585,0.826087,0.95,0.540541] f_measure 0.811606940872696 [0.97561,0.8,0.952381,0.777778,0.75,0.878049,0.604651,0.930233,0.947368,0.5] f_measure 0.7844417390983501 [0.97561,0.708333,0.857143,0.842105,0.727273,0.772727,0.682927,0.844444,0.947368,0.486486] f_measure 0.7735807990459154 [0.974359,0.666667,0.923077,0.809524,0.666667,0.85,0.5,0.930233,0.857143,0.55814] f_measure 0.8211644355879046 [1,0.789474,0.952381,0.9,0.705882,0.878049,0.5,0.863636,1,0.622222] f_measure 0.7641171428933642 [0.952381,0.723404,0.871795,0.823529,0.702703,0.974359,0.465116,0.878049,0.810811,0.439024] kappa 0.7333333333333334 kappa 0.7222222222222222 kappa 0.7055555555555556 kappa 0.7611111111111112 kappa 0.7555555555555555 kappa 0.7944444444444444 kappa 0.7611111111111112 kappa 0.7444444444444445 kappa 0.8055555555555555 kappa 0.7333333333333334 kb_relative_information_score 152.36833442276358 kb_relative_information_score 149.7474174086368 kb_relative_information_score 145.75361058061856 kb_relative_information_score 156.39457268844987 kb_relative_information_score 154.14093002467848 kb_relative_information_score 156.37629306476742 kb_relative_information_score 152.13993756852167 kb_relative_information_score 153.81017489759176 kb_relative_information_score 158.13134661794422 kb_relative_information_score 146.94247283599765 mean_absolute_error 0.06090624752233195 mean_absolute_error 0.06360689046009069 mean_absolute_error 0.06548254871427345 mean_absolute_error 0.057491634935324984 mean_absolute_error 0.06054540704378364 mean_absolute_error 0.05906134910127154 mean_absolute_error 0.06085853351428225 mean_absolute_error 0.060331425748214235 mean_absolute_error 0.05625839339106889 mean_absolute_error 0.06712645117351318 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 0.7759756579582832 [0.952381,0.586207,0.809524,0.941176,0.619048,0.941176,0.526316,0.8125,1,0.571429] precision 0.7529018759018758 [0.904762,0.727273,0.8,0.888889,0.75,0.72,0.47619,0.761905,1,0.5] precision 0.7454555506413091 [1,0.583333,1,0.764706,0.625,0.809524,0.368421,0.875,0.952381,0.47619] precision 0.7923861283643894 [1,0.619048,0.826087,0.85,0.652174,0.933333,0.608696,0.809524,1,0.625] precision 0.7798244290968748 [0.952381,0.631579,0.944444,0.857143,0.777778,0.842105,0.52381,0.730769,0.95,0.588235] precision 0.814089732731037 [0.952381,0.8,0.909091,0.875,0.75,0.857143,0.565217,0.869565,1,0.5625] precision 0.8035901386195505 [0.952381,0.607143,1,0.888889,0.923077,0.708333,0.666667,0.76,1,0.529412] precision 0.7902250857456807 [1,0.636364,0.947368,0.772727,0.846154,0.85,0.458333,0.869565,1,0.521739] precision 0.8270876623376623 [1,0.833333,0.909091,0.9,0.857143,0.857143,0.5625,0.791667,1,0.56] precision 0.7801013098765154 [0.909091,0.62963,0.894737,1,0.764706,1,0.434783,0.857143,0.882353,0.428571] predictive_accuracy 0.76 predictive_accuracy 0.75 predictive_accuracy 0.735 predictive_accuracy 0.785 predictive_accuracy 0.78 predictive_accuracy 0.815 predictive_accuracy 0.785 predictive_accuracy 0.77 predictive_accuracy 0.825 predictive_accuracy 0.76 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 0.76 [1,0.85,0.85,0.8,0.65,0.8,0.5,0.65,0.9,0.6] recall 0.75 [0.95,0.8,0.8,0.8,0.6,0.9,0.5,0.8,0.9,0.45] recall 0.735 [1,0.7,0.85,0.65,0.75,0.85,0.35,0.7,1,0.5] recall 0.785 [1,0.65,0.95,0.85,0.75,0.7,0.7,0.85,0.9,0.5] recall 0.78 [1,0.6,0.85,0.9,0.7,0.8,0.55,0.95,0.95,0.5] recall 0.815 [1,0.8,1,0.7,0.75,0.9,0.65,1,0.9,0.45] recall 0.785 [1,0.85,0.75,0.8,0.6,0.85,0.7,0.95,0.9,0.45] recall 0.77 [0.95,0.7,0.9,0.85,0.55,0.85,0.55,1,0.75,0.6] recall 0.825 [1,0.75,1,0.9,0.6,0.9,0.45,0.95,1,0.7] recall 0.76 [1,0.85,0.85,0.7,0.65,0.95,0.5,0.9,0.75,0.45] relative_absolute_error 0.3383680417907334 relative_absolute_error 0.35337161366717085 relative_absolute_error 0.36379193730151954 relative_absolute_error 0.31939797186291696 relative_absolute_error 0.33636337246546505 relative_absolute_error 0.32811860611817556 relative_absolute_error 0.3381029639682351 relative_absolute_error 0.33517458749007945 relative_absolute_error 0.31254662995038307 relative_absolute_error 0.3729247287417403 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 0.1768869903373673 root_mean_squared_error 0.18473963846649086 root_mean_squared_error 0.1898268227919032 root_mean_squared_error 0.1659776969599555 root_mean_squared_error 0.172621272916469 root_mean_squared_error 0.1653058536045329 root_mean_squared_error 0.17577254433984604 root_mean_squared_error 0.17086138381748545 root_mean_squared_error 0.16396664603561217 root_mean_squared_error 0.18640172550803266 root_relative_squared_error 0.589623301124558 root_relative_squared_error 0.6157987948883031 root_relative_squared_error 0.632756075973011 root_relative_squared_error 0.5532589898665187 root_relative_squared_error 0.5754042430548971 root_relative_squared_error 0.55101951201511 root_relative_squared_error 0.5859084811328205 root_relative_squared_error 0.5695379460582851 root_relative_squared_error 0.5465554867853742 root_relative_squared_error 0.621339085026776 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 61997.19575299991 usercpu_time_millis 61047.668960999996 usercpu_time_millis 61183.19867800005 usercpu_time_millis 61603.62877599994 usercpu_time_millis 60632.294039000044 usercpu_time_millis 62703.78557499999 usercpu_time_millis 61413.66343599997 usercpu_time_millis 61299.202556999946 usercpu_time_millis 61524.241930000244 usercpu_time_millis 62114.406952000085 usercpu_time_millis_testing 88.85363499996402 usercpu_time_millis_testing 88.54877199996736 usercpu_time_millis_testing 87.26396600002317 usercpu_time_millis_testing 87.81554699999106 usercpu_time_millis_testing 86.80434200005038 usercpu_time_millis_testing 85.4347780000353 usercpu_time_millis_testing 87.19132800001717 usercpu_time_millis_testing 86.89892899997176 usercpu_time_millis_testing 87.30257400020491 usercpu_time_millis_testing 87.96912900015741 usercpu_time_millis_training 61908.34211799995 usercpu_time_millis_training 60959.12018900003 usercpu_time_millis_training 61095.93471200003 usercpu_time_millis_training 61515.81322899995 usercpu_time_millis_training 60545.489697 usercpu_time_millis_training 62618.35079699995 usercpu_time_millis_training 61326.47210799996 usercpu_time_millis_training 61212.30362799997 usercpu_time_millis_training 61436.93935600004 usercpu_time_millis_training 62026.43782299993