8911346 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) 6848584 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 0.4175776484229303 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 7 7684 min_samples_split 10 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 18738374 description https://api.openml.org/data/download/18738374/description.xml -1 18738375 predictions https://api.openml.org/data/download/18738375/predictions.arff area_under_roc_curve 0.9828022222222224 [0.999989,0.977647,0.996594,0.992533,0.978558,0.994653,0.948175,0.992431,0.998803,0.948639] average_cost 0 f_measure 0.8285207029338962 [0.987654,0.791878,0.945,0.888325,0.8,0.904177,0.547264,0.886256,0.966752,0.567901] kappa 0.8094444444444444 kb_relative_information_score 1582.7262640670576 mean_absolute_error 0.060422120102675114 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8297529859796706 [0.97561,0.804124,0.945,0.902062,0.844444,0.888889,0.544554,0.842342,0.989529,0.560976] predictive_accuracy 0.8284999999999999 prior_entropy 3.321928094887362 recall 0.8285 [1,0.78,0.945,0.875,0.76,0.92,0.55,0.935,0.945,0.575] relative_absolute_error 0.3356784450148514 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1576910640941451 root_relative_squared_error 0.525636880313809 total_cost 0 area_under_roc_curve 0.9814722222222223 [1,0.979722,0.994167,0.997778,0.970278,1,0.928056,0.993333,0.999167,0.952222] area_under_roc_curve 0.9805277777777779 [0.999722,0.978056,0.995833,0.991111,0.965278,0.990556,0.948611,0.989167,0.997222,0.949722] area_under_roc_curve 0.9777222222222223 [1,0.980833,1,0.975278,0.985,0.994722,0.906111,0.991111,1,0.944167] area_under_roc_curve 0.988388888888889 [1,0.981667,0.995,0.995278,0.990556,0.996389,0.9775,0.995556,0.999722,0.952222] area_under_roc_curve 0.9847777777777779 [1,0.970556,0.999167,0.9975,0.993611,0.995833,0.9575,0.991667,1,0.941944] area_under_roc_curve 0.9861666666666666 [1,0.979722,1,0.992778,0.994167,0.994444,0.955,0.994722,0.999722,0.951111] area_under_roc_curve 0.9844722222222222 [1,0.976389,0.994444,0.9975,0.986111,0.99,0.971389,0.988611,1,0.940278] area_under_roc_curve 0.9835833333333333 [1,0.971111,0.998333,0.991389,0.959722,0.996944,0.960833,0.995556,0.995833,0.966111] area_under_roc_curve 0.9825 [1,0.979167,0.999722,0.998056,0.976667,0.988333,0.945,0.995,1,0.943056] area_under_roc_curve 0.9791944444444445 [1,0.981111,0.991944,0.989722,0.9675,0.998889,0.928333,0.993333,0.996667,0.944444] 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 0.8148153368179042 [0.97561,0.772727,0.926829,0.888889,0.780488,1,0.432432,0.9,0.947368,0.52381] f_measure 0.8094689905554268 [0.97561,0.769231,0.871795,0.9,0.764706,0.818182,0.578947,0.837209,0.974359,0.604651] f_measure 0.7954307887234715 [1,0.714286,0.947368,0.736842,0.75,0.878049,0.473684,0.842105,0.97561,0.636364] f_measure 0.8604034254034254 [1,0.810811,0.974359,0.904762,0.8,0.923077,0.666667,0.85,0.974359,0.7] f_measure 0.8165741621051754 [0.97561,0.722222,0.974359,0.904762,0.764706,0.930233,0.536585,0.844444,1,0.512821] f_measure 0.8516643488963398 [1,0.878049,1,0.864865,0.85,0.878049,0.651163,0.930233,0.95,0.514286] f_measure 0.8441518353177605 [1,0.85,0.947368,0.926829,0.857143,0.883721,0.6,0.863636,1,0.512821] f_measure 0.8270755281203978 [1,0.714286,0.97561,0.871795,0.789474,0.864865,0.571429,0.930233,0.918919,0.634146] f_measure 0.8589498295657311 [1,0.857143,0.952381,0.952381,0.842105,0.923077,0.514286,0.952381,1,0.595745] f_measure 0.8024115484536888 [0.952381,0.842105,0.883721,0.918919,0.8,0.95,0.44898,0.909091,0.918919,0.4] kappa 0.7944444444444444 kappa 0.788888888888889 kappa 0.7722222222222223 kappa 0.8444444444444444 kappa 0.7999999999999999 kappa 0.8388888888888889 kappa 0.8277777777777777 kappa 0.8055555555555555 kappa 0.8444444444444444 kappa 0.7777777777777778 kb_relative_information_score 157.2980988260277 kb_relative_information_score 156.06879997830984 kb_relative_information_score 154.49993936453922 kb_relative_information_score 161.20131235486113 kb_relative_information_score 157.88839696628028 kb_relative_information_score 161.1053296613947 kb_relative_information_score 159.1181059468868 kb_relative_information_score 158.93426458457122 kb_relative_information_score 161.5693503359739 kb_relative_information_score 155.04266604821257 mean_absolute_error 0.06189484851814853 mean_absolute_error 0.06210253548673552 mean_absolute_error 0.0636132039238539 mean_absolute_error 0.05790749085359087 mean_absolute_error 0.06182169664779665 mean_absolute_error 0.05767856333111337 mean_absolute_error 0.06022853262293263 mean_absolute_error 0.05960418342768345 mean_absolute_error 0.05696393766233768 mean_absolute_error 0.06240620855255858 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 0.819796918767507 [0.952381,0.708333,0.904762,1,0.761905,1,0.470588,0.9,1,0.5] precision 0.8174100105335803 [0.952381,0.789474,0.894737,0.9,0.928571,0.75,0.611111,0.782609,1,0.565217] precision 0.799134199134199 [1,0.681818,1,0.777778,0.75,0.857143,0.5,0.888889,0.952381,0.583333] precision 0.8647568252181256 [1,0.882353,1,0.863636,0.72,0.947368,0.684211,0.85,1,0.7] precision 0.8236779275263255 [0.952381,0.8125,1,0.863636,0.928571,0.869565,0.52381,0.76,1,0.526316] precision 0.8533723054439167 [1,0.857143,1,0.941176,0.85,0.857143,0.608696,0.869565,0.95,0.6] precision 0.8498831317423995 [1,0.85,1,0.904762,1,0.826087,0.6,0.791667,1,0.526316] precision 0.8337513162119434 [1,0.681818,0.952381,0.894737,0.833333,0.941176,0.545455,0.869565,1,0.619048] precision 0.8682048555732768 [1,1,0.909091,0.909091,0.888889,0.947368,0.6,0.909091,1,0.518519] precision 0.8186710432662457 [0.909091,0.888889,0.826087,1,0.933333,0.95,0.37931,0.833333,1,0.466667] predictive_accuracy 0.815 predictive_accuracy 0.81 predictive_accuracy 0.795 predictive_accuracy 0.86 predictive_accuracy 0.82 predictive_accuracy 0.855 predictive_accuracy 0.845 predictive_accuracy 0.825 predictive_accuracy 0.86 predictive_accuracy 0.8 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 0.815 [1,0.85,0.95,0.8,0.8,1,0.4,0.9,0.9,0.55] recall 0.81 [1,0.75,0.85,0.9,0.65,0.9,0.55,0.9,0.95,0.65] recall 0.795 [1,0.75,0.9,0.7,0.75,0.9,0.45,0.8,1,0.7] recall 0.86 [1,0.75,0.95,0.95,0.9,0.9,0.65,0.85,0.95,0.7] recall 0.82 [1,0.65,0.95,0.95,0.65,1,0.55,0.95,1,0.5] recall 0.855 [1,0.9,1,0.8,0.85,0.9,0.7,1,0.95,0.45] recall 0.845 [1,0.85,0.9,0.95,0.75,0.95,0.6,0.95,1,0.5] recall 0.825 [1,0.75,1,0.85,0.75,0.8,0.6,1,0.85,0.65] recall 0.86 [1,0.75,1,1,0.8,0.9,0.45,1,1,0.7] recall 0.8 [1,0.8,0.95,0.85,0.7,0.95,0.55,1,0.85,0.35] relative_absolute_error 0.34386026954527005 relative_absolute_error 0.34501408603741995 relative_absolute_error 0.3534066884658554 relative_absolute_error 0.3217082825199496 relative_absolute_error 0.3434538702655373 relative_absolute_error 0.3204364629506302 relative_absolute_error 0.3346029590162928 relative_absolute_error 0.33113435237601957 relative_absolute_error 0.3164663203463208 relative_absolute_error 0.34670115862532586 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 0.1605657916547761 root_mean_squared_error 0.1652165618161598 root_mean_squared_error 0.16779746036296117 root_mean_squared_error 0.1498013594326003 root_mean_squared_error 0.15837735169892875 root_mean_squared_error 0.15060495260022844 root_mean_squared_error 0.15527795894255486 root_mean_squared_error 0.15523333995725913 root_mean_squared_error 0.14963052610827723 root_mean_squared_error 0.16317852254898735 root_relative_squared_error 0.5352193055159207 root_relative_squared_error 0.550721872720533 root_relative_squared_error 0.5593248678765376 root_relative_squared_error 0.49933786477533465 root_relative_squared_error 0.5279245056630962 root_relative_squared_error 0.5020165086674284 root_relative_squared_error 0.5175931964751832 root_relative_squared_error 0.5174444665241974 root_relative_squared_error 0.4987684203609244 root_relative_squared_error 0.5439284084966248 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 28007.972691999385 usercpu_time_millis 31895.30318900006 usercpu_time_millis 32283.678457000406 usercpu_time_millis 32276.808434999566 usercpu_time_millis 32199.050428999726 usercpu_time_millis 32248.086499000237 usercpu_time_millis 32181.83186200031 usercpu_time_millis 32504.60425500023 usercpu_time_millis 32291.969247999987 usercpu_time_millis 32395.5419670001 usercpu_time_millis_testing 91.63654399981169 usercpu_time_millis_testing 90.82738699999027 usercpu_time_millis_testing 97.62253400003829 usercpu_time_millis_testing 127.6227669995933 usercpu_time_millis_testing 93.21727099995769 usercpu_time_millis_testing 90.37297400027455 usercpu_time_millis_testing 99.81512800004566 usercpu_time_millis_testing 100.04203400012557 usercpu_time_millis_testing 91.96939000003113 usercpu_time_millis_testing 92.5259340001503 usercpu_time_millis_training 27916.336147999573 usercpu_time_millis_training 31804.47580200007 usercpu_time_millis_training 32186.055923000367 usercpu_time_millis_training 32149.185667999973 usercpu_time_millis_training 32105.83315799977 usercpu_time_millis_training 32157.713524999963 usercpu_time_millis_training 32082.016734000263 usercpu_time_millis_training 32404.562221000106 usercpu_time_millis_training 32199.999857999956 usercpu_time_millis_training 32303.01603299995