8914226 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) 6851319 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 0.42502200092060005 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 18 7684 min_samples_split 6 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 18744106 description https://api.openml.org/data/download/18744106/description.xml -1 18744107 predictions https://api.openml.org/data/download/18744107/predictions.arff area_under_roc_curve 0.9779530555555555 [0.999908,0.966286,0.994925,0.985269,0.969411,0.990992,0.941619,0.991664,0.996111,0.943344] average_cost 0 f_measure 0.786934451209989 [0.958435,0.739018,0.925743,0.851385,0.710027,0.86,0.507463,0.861827,0.929648,0.525799] kappa 0.7644444444444445 kb_relative_information_score 1470.8969760777118 mean_absolute_error 0.07571091637205284 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7878962370558454 [0.937799,0.764706,0.916667,0.857868,0.775148,0.86,0.50495,0.810573,0.934343,0.516908] predictive_accuracy 0.7879999999999999 prior_entropy 3.321928094887362 recall 0.788 [0.98,0.715,0.935,0.845,0.655,0.86,0.51,0.92,0.925,0.535] relative_absolute_error 0.4206162020669472 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.17356480456857085 root_relative_squared_error 0.578549348561894 total_cost 0 area_under_roc_curve 0.9760833333333333 [0.999722,0.965,0.992222,0.995556,0.953333,0.999444,0.918611,0.9925,0.991667,0.952778] area_under_roc_curve 0.9782500000000001 [0.999722,0.973611,0.993611,0.986111,0.956389,0.988056,0.950556,0.988611,0.996944,0.948889] area_under_roc_curve 0.9754722222222224 [1,0.974167,0.999167,0.962778,0.964722,0.992778,0.922222,0.991667,1,0.947222] area_under_roc_curve 0.9824166666666667 [1,0.971111,0.993889,0.988611,0.986389,0.9925,0.968611,0.994167,0.998889,0.93] area_under_roc_curve 0.9808055555555556 [1,0.961944,0.9975,0.991111,0.987222,0.992778,0.948611,0.992222,0.998889,0.937778] area_under_roc_curve 0.9812222222222221 [1,0.961667,0.999167,0.990278,0.991389,0.987778,0.945556,0.992222,0.996389,0.947778] area_under_roc_curve 0.9787777777777777 [0.999722,0.969444,0.995556,0.986389,0.9825,0.974444,0.968056,0.987222,1,0.924444] area_under_roc_curve 0.9792500000000001 [1,0.9575,0.9975,0.979444,0.9625,0.995278,0.951389,0.994722,0.988333,0.965833] area_under_roc_curve 0.9784166666666665 [1,0.960556,0.999444,0.996944,0.972222,0.987778,0.932222,0.993889,1,0.941111] area_under_roc_curve 0.9729722222222221 [1,0.975833,0.983056,0.979167,0.949167,0.998333,0.9175,0.993889,0.993333,0.939444] 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 0.7752993634587507 [0.95,0.744186,0.926829,0.888889,0.731707,0.974359,0.358974,0.878049,0.9,0.4] f_measure 0.7522389647188884 [0.97561,0.789474,0.871795,0.8,0.555556,0.780488,0.486486,0.790698,0.926829,0.545455] f_measure 0.7721461429105396 [0.974359,0.697674,0.947368,0.8,0.648649,0.85,0.47619,0.789474,0.952381,0.585366] f_measure 0.7909960353153903 [1,0.722222,0.95,0.883721,0.695652,0.789474,0.555556,0.820513,0.947368,0.545455] f_measure 0.7719625554197269 [1,0.647059,0.9,0.85,0.606061,0.869565,0.512821,0.808511,0.97561,0.55] f_measure 0.7997821978167978 [0.952381,0.75,0.952381,0.769231,0.756757,0.878049,0.571429,0.930233,0.923077,0.514286] f_measure 0.798227152963995 [0.863636,0.769231,0.894737,0.85,0.787879,0.809524,0.7,0.844444,0.95,0.512821] f_measure 0.7992445230108304 [0.930233,0.75,0.97561,0.85,0.685714,0.864865,0.536585,0.909091,0.918919,0.571429] f_measure 0.8125651480302644 [0.974359,0.727273,0.952381,0.930233,0.8,0.871795,0.45,0.909091,0.952381,0.55814] f_measure 0.7949618523880853 [0.97561,0.780488,0.883721,0.888889,0.833333,0.918919,0.434783,0.930233,0.842105,0.461538] kappa 0.75 kappa 0.7277777777777777 kappa 0.7444444444444445 kappa 0.7666666666666667 kappa 0.7555555555555555 kappa 0.7833333333333334 kappa 0.7777777777777778 kappa 0.7777777777777778 kappa 0.7944444444444444 kappa 0.7666666666666667 kb_relative_information_score 145.57080332726903 kb_relative_information_score 146.04132591776025 kb_relative_information_score 146.00641883246217 kb_relative_information_score 148.46065602270343 kb_relative_information_score 147.47869367046576 kb_relative_information_score 149.15311926575203 kb_relative_information_score 147.23845812863883 kb_relative_information_score 147.01333834569044 kb_relative_information_score 149.5899616401348 kb_relative_information_score 144.34420092683627 mean_absolute_error 0.07772422878065165 mean_absolute_error 0.07546263570046065 mean_absolute_error 0.07694197521404939 mean_absolute_error 0.07454971455499969 mean_absolute_error 0.07547516516909916 mean_absolute_error 0.07369150733047564 mean_absolute_error 0.07650269229443833 mean_absolute_error 0.07570350137036837 mean_absolute_error 0.07348960503199282 mean_absolute_error 0.07756813827399518 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 0.77902637027351 [0.95,0.695652,0.904762,1,0.714286,1,0.368421,0.857143,0.9,0.4] precision 0.7540659993974707 [0.952381,0.833333,0.894737,0.8,0.625,0.761905,0.529412,0.73913,0.904762,0.5] precision 0.7776454534382923 [1,0.652174,1,0.8,0.705882,0.85,0.454545,0.833333,0.909091,0.571429] precision 0.8004410168397582 [1,0.8125,0.95,0.826087,0.615385,0.833333,0.625,0.842105,1,0.5] precision 0.7806576269734166 [1,0.785714,0.9,0.85,0.769231,0.769231,0.526316,0.703704,0.952381,0.55] precision 0.8000715955198389 [0.909091,0.75,0.909091,0.789474,0.823529,0.857143,0.545455,0.869565,0.947368,0.6] precision 0.8084627857522594 [0.791667,0.789474,0.944444,0.85,1,0.772727,0.7,0.76,0.95,0.526316] precision 0.8065720042957895 [0.869565,0.75,0.952381,0.85,0.8,0.941176,0.52381,0.833333,1,0.545455] precision 0.8243966597856759 [1,0.923077,0.909091,0.869565,0.933333,0.894737,0.45,0.833333,0.909091,0.521739] precision 0.8094626372229345 [0.952381,0.761905,0.826087,1,0.9375,1,0.384615,0.869565,0.888889,0.473684] predictive_accuracy 0.775 predictive_accuracy 0.755 predictive_accuracy 0.77 predictive_accuracy 0.79 predictive_accuracy 0.78 predictive_accuracy 0.805 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.815 predictive_accuracy 0.79 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 0.775 [0.95,0.8,0.95,0.8,0.75,0.95,0.35,0.9,0.9,0.4] recall 0.755 [1,0.75,0.85,0.8,0.5,0.8,0.45,0.85,0.95,0.6] recall 0.77 [0.95,0.75,0.9,0.8,0.6,0.85,0.5,0.75,1,0.6] recall 0.79 [1,0.65,0.95,0.95,0.8,0.75,0.5,0.8,0.9,0.6] recall 0.78 [1,0.55,0.9,0.85,0.5,1,0.5,0.95,1,0.55] recall 0.805 [1,0.75,1,0.75,0.7,0.9,0.6,1,0.9,0.45] recall 0.8 [0.95,0.75,0.85,0.85,0.65,0.85,0.7,0.95,0.95,0.5] recall 0.8 [1,0.75,1,0.85,0.6,0.8,0.55,1,0.85,0.6] recall 0.815 [0.95,0.6,1,1,0.7,0.85,0.45,1,1,0.6] recall 0.79 [1,0.8,0.95,0.8,0.75,0.85,0.5,1,0.8,0.45] relative_absolute_error 0.4318012710036207 relative_absolute_error 0.41923686500255963 relative_absolute_error 0.4274554178558304 relative_absolute_error 0.41416508086110987 relative_absolute_error 0.41930647316166253 relative_absolute_error 0.40939726294708734 relative_absolute_error 0.4250149571913246 relative_absolute_error 0.4205750076131581 relative_absolute_error 0.40827558351107174 relative_absolute_error 0.4309341015221959 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 0.17720015839860698 root_mean_squared_error 0.17754471561711535 root_mean_squared_error 0.17536056879182674 root_mean_squared_error 0.17015074675474523 root_mean_squared_error 0.17318868013385957 root_mean_squared_error 0.16917379134307114 root_mean_squared_error 0.1742784235593036 root_mean_squared_error 0.17294273503379867 root_mean_squared_error 0.16806290703222396 root_mean_squared_error 0.17742997525139698 root_relative_squared_error 0.5906671946620236 root_relative_squared_error 0.5918157187237183 root_relative_squared_error 0.5845352293060895 root_relative_squared_error 0.5671691558491511 root_relative_squared_error 0.577295600446199 root_relative_squared_error 0.5639126378102375 root_relative_squared_error 0.5809280785310124 root_relative_squared_error 0.5764757834459959 root_relative_squared_error 0.5602096901074135 root_relative_squared_error 0.5914332508379903 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 17293.54955799863 usercpu_time_millis 17251.802656996006 usercpu_time_millis 17163.904405999347 usercpu_time_millis 17438.551471997926 usercpu_time_millis 17215.76654400269 usercpu_time_millis 17170.917303999886 usercpu_time_millis 17380.85801499983 usercpu_time_millis 17292.535065000266 usercpu_time_millis 17260.94004100014 usercpu_time_millis 17288.7988720031 usercpu_time_millis_testing 88.24035100042238 usercpu_time_millis_testing 87.28594299827819 usercpu_time_millis_testing 89.03786800146918 usercpu_time_millis_testing 87.14555500046117 usercpu_time_millis_testing 85.17756000219379 usercpu_time_millis_testing 85.303408002801 usercpu_time_millis_testing 85.91190799779724 usercpu_time_millis_testing 85.68761100104894 usercpu_time_millis_testing 91.21807200062904 usercpu_time_millis_testing 87.27142000134336 usercpu_time_millis_training 17205.30920699821 usercpu_time_millis_training 17164.516713997727 usercpu_time_millis_training 17074.866537997877 usercpu_time_millis_training 17351.405916997464 usercpu_time_millis_training 17130.588984000497 usercpu_time_millis_training 17085.613895997085 usercpu_time_millis_training 17294.946107002033 usercpu_time_millis_training 17206.847453999217 usercpu_time_millis_training 17169.72196899951 usercpu_time_millis_training 17201.527452001756