10153325 1 Jan van Rijn 14 Supervised Classification 8815 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(1) 8078992 axis 0 8778 copy true 8778 missing_values "NaN" 8778 strategy "most_frequent" 8778 verbose 0 8778 copy true 8779 with_mean true 8779 with_std true 8779 memory null 8780 copy true 8781 fill_value -1 8781 missing_values NaN 8781 strategy "constant" 8781 verbose 0 8781 categorical_features null 8782 categories null 8782 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 8782 handle_unknown "ignore" 8782 n_values null 8782 sparse true 8782 class_weight null 8783 criterion "entropy" 8783 max_depth null 8783 max_features 1.0 8783 max_leaf_nodes null 8783 min_impurity_decrease 0.0 8783 min_impurity_split null 8783 min_samples_leaf 8 8783 min_samples_split 17 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 9157 8783 splitter "best" 8783 n_jobs null 8812 remainder "passthrough" 8812 sparse_threshold 0.3 8812 transformer_weights null 8812 memory null 8813 memory null 8815 threshold 0.0 8816 openml-python Sklearn_0.20.0. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 21227189 description https://api.openml.org/data/download/21227189/description.xml -1 21227190 predictions https://api.openml.org/data/download/21227190/predictions.arff area_under_roc_curve 0.9241854166666668 [0.993718,0.875801,0.971453,0.938269,0.914039,0.943679,0.815086,0.963294,0.975358,0.851156] average_cost 0 f_measure 0.7607478635466024 [0.962406,0.688995,0.915167,0.783848,0.733333,0.838046,0.473171,0.837438,0.942356,0.432718] kappa 0.7344444444444445 kb_relative_information_score 1532.8366005090907 mean_absolute_error 0.053087884615384884 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7618816954441446 [0.964824,0.66055,0.941799,0.746606,0.752632,0.862434,0.461905,0.825243,0.944724,0.458101] predictive_accuracy 0.7609999999999999 prior_entropy 3.321928094887362 recall 0.761 [0.96,0.72,0.89,0.825,0.715,0.815,0.485,0.85,0.94,0.41] relative_absolute_error 0.2949326923076847 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.19303880891569422 root_relative_squared_error 0.6434626963856376 total_cost 0 area_under_roc_curve 0.9353472222222223 [0.999583,0.952083,0.995556,0.964583,0.931528,0.946111,0.798611,0.965139,0.998333,0.801944] area_under_roc_curve 0.9072361111111111 [0.971667,0.919722,0.920139,0.909306,0.800556,0.899167,0.874167,0.990278,0.948611,0.83875] area_under_roc_curve 0.9202777777777779 [0.999444,0.876806,0.947083,0.902917,0.982917,0.990417,0.720694,0.92125,1,0.86125] area_under_roc_curve 0.9208611111111111 [0.996667,0.84875,0.973611,0.985139,0.94625,0.908333,0.7975,0.941667,0.949167,0.861528] area_under_roc_curve 0.9256111111111112 [0.997222,0.843889,0.971667,0.94125,0.931944,0.945694,0.832639,0.928056,0.99625,0.8675] area_under_roc_curve 0.9350277777777777 [1,0.926528,0.999028,0.911667,0.901111,0.937222,0.861667,0.986944,0.999028,0.827083] area_under_roc_curve 0.9358472222222223 [0.999583,0.896806,0.947639,0.911389,0.956389,0.95875,0.880972,0.961111,0.975,0.870833] area_under_roc_curve 0.9040972222222221 [0.974167,0.79875,0.996806,0.921111,0.847361,0.990417,0.758333,0.983472,0.920139,0.850417] area_under_roc_curve 0.9398055555555556 [1,0.810694,0.999444,0.987778,0.93375,0.916111,0.85875,0.987083,0.999444,0.905] area_under_roc_curve 0.9174722222222222 [1,0.883611,0.964444,0.944167,0.910972,0.945,0.765694,0.965972,0.969583,0.825278] 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 0.767927276340567 [0.930233,0.714286,0.894737,0.829268,0.780488,0.923077,0.47619,0.842105,0.9,0.388889] f_measure 0.7246530891170074 [0.923077,0.681818,0.864865,0.790698,0.594595,0.702703,0.358974,0.871795,0.947368,0.510638] f_measure 0.7443787196815049 [0.947368,0.681818,0.918919,0.736842,0.826087,0.857143,0.358974,0.833333,0.97561,0.307692] f_measure 0.7928233822746701 [0.95,0.684211,0.95,0.851064,0.727273,0.777778,0.6,0.9,0.947368,0.540541] f_measure 0.7558232399185321 [0.97561,0.604651,0.918919,0.777778,0.702703,0.871795,0.577778,0.744186,0.952381,0.432432] f_measure 0.7462402075947252 [1,0.772727,0.926829,0.790698,0.647059,0.780488,0.461538,0.818182,0.952381,0.3125] f_measure 0.7719352912730062 [0.974359,0.695652,0.857143,0.75,0.810811,0.809524,0.52381,0.837209,0.974359,0.486486] f_measure 0.7231875651457004 [0.95,0.611111,0.930233,0.680851,0.611111,0.923077,0.388889,0.75,0.864865,0.521739] f_measure 0.7770438153364982 [0.974359,0.619048,0.974359,0.8,0.820513,0.864865,0.5,0.878049,0.97561,0.363636] f_measure 0.7874775279653328 [1,0.820513,0.904762,0.829268,0.769231,0.864865,0.454545,0.904762,0.926829,0.4] kappa 0.7444444444444445 kappa 0.6888888888888889 kappa 0.7166666666666667 kappa 0.7722222222222223 kappa 0.7277777777777777 kappa 0.7333333333333334 kappa 0.7444444444444445 kappa 0.6944444444444444 kappa 0.7555555555555555 kappa 0.7666666666666667 kb_relative_information_score 155.12426302789584 kb_relative_information_score 144.89027784776795 kb_relative_information_score 151.09098685174587 kb_relative_information_score 156.36843740782774 kb_relative_information_score 153.7177792797014 kb_relative_information_score 152.802694847321 kb_relative_information_score 155.53034469353616 kb_relative_information_score 149.29034249838023 kb_relative_information_score 159.76242347625518 kb_relative_information_score 154.25905057868042 mean_absolute_error 0.051142976467976456 mean_absolute_error 0.05999085775335778 mean_absolute_error 0.054911366411366375 mean_absolute_error 0.049842446442446446 mean_absolute_error 0.05320492840492837 mean_absolute_error 0.053760545010545016 mean_absolute_error 0.05119672965922967 mean_absolute_error 0.05684299311799311 mean_absolute_error 0.048078679653679644 mean_absolute_error 0.051907323232323194 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 0.7695559179569478 [0.869565,0.681818,0.944444,0.809524,0.761905,0.947368,0.454545,0.888889,0.9,0.4375] precision 0.7372042371487114 [0.947368,0.625,0.941176,0.73913,0.647059,0.764706,0.368421,0.894737,1,0.444444] precision 0.7525820305425569 [1,0.625,1,0.777778,0.730769,0.818182,0.368421,0.9375,0.952381,0.315789] precision 0.7992864923747277 [0.95,0.722222,0.95,0.740741,0.666667,0.875,0.6,0.9,1,0.588235] precision 0.7647372386441574 [0.952381,0.565217,1,0.875,0.764706,0.894737,0.52,0.695652,0.909091,0.470588] precision 0.7449286506780787 [1,0.708333,0.904762,0.73913,0.785714,0.761905,0.473684,0.75,0.909091,0.416667] precision 0.7832485289646415 [1,0.615385,1,0.75,0.882353,0.772727,0.5,0.782609,1,0.529412] precision 0.7324741163163224 [0.95,0.6875,0.869565,0.592593,0.6875,0.947368,0.4375,0.75,0.941176,0.461538] precision 0.7823586429050825 [1,0.590909,1,0.72,0.842105,0.941176,0.458333,0.857143,0.952381,0.461538] precision 0.7897647192848432 [1,0.842105,0.863636,0.809524,0.789474,0.941176,0.416667,0.863636,0.904762,0.466667] predictive_accuracy 0.77 predictive_accuracy 0.72 predictive_accuracy 0.745 predictive_accuracy 0.795 predictive_accuracy 0.755 predictive_accuracy 0.76 predictive_accuracy 0.77 predictive_accuracy 0.725 predictive_accuracy 0.78 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 0.77 [1,0.75,0.85,0.85,0.8,0.9,0.5,0.8,0.9,0.35] recall 0.72 [0.9,0.75,0.8,0.85,0.55,0.65,0.35,0.85,0.9,0.6] recall 0.745 [0.9,0.75,0.85,0.7,0.95,0.9,0.35,0.75,1,0.3] recall 0.795 [0.95,0.65,0.95,1,0.8,0.7,0.6,0.9,0.9,0.5] recall 0.755 [1,0.65,0.85,0.7,0.65,0.85,0.65,0.8,1,0.4] recall 0.76 [1,0.85,0.95,0.85,0.55,0.8,0.45,0.9,1,0.25] recall 0.77 [0.95,0.8,0.75,0.75,0.75,0.85,0.55,0.9,0.95,0.45] recall 0.725 [0.95,0.55,1,0.8,0.55,0.9,0.35,0.75,0.8,0.6] recall 0.78 [0.95,0.65,0.95,0.9,0.8,0.8,0.55,0.9,1,0.3] recall 0.79 [1,0.8,0.95,0.85,0.75,0.8,0.5,0.95,0.95,0.35] relative_absolute_error 0.284127647044314 relative_absolute_error 0.3332825430742103 relative_absolute_error 0.3050631467298135 relative_absolute_error 0.2769024802358139 relative_absolute_error 0.2955829355829357 relative_absolute_error 0.2986696945030282 relative_absolute_error 0.28442627588460956 relative_absolute_error 0.3157944062110732 relative_absolute_error 0.2671037758537761 relative_absolute_error 0.28837401795735146 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 0.18900134990641826 root_mean_squared_error 0.2116280010364839 root_mean_squared_error 0.1959380221056485 root_mean_squared_error 0.1873008443458284 root_mean_squared_error 0.19326628318817995 root_mean_squared_error 0.18995472954240575 root_mean_squared_error 0.18838443616818845 root_mean_squared_error 0.20442202562178727 root_mean_squared_error 0.1772685741204852 root_mean_squared_error 0.19110917919891965 root_relative_squared_error 0.6300044996880612 root_relative_squared_error 0.7054266701216134 root_relative_squared_error 0.653126740352162 root_relative_squared_error 0.6243361478194284 root_relative_squared_error 0.6442209439606001 root_relative_squared_error 0.6331824318080196 root_relative_squared_error 0.6279481205606285 root_relative_squared_error 0.6814067520726248 root_relative_squared_error 0.5908952470682843 root_relative_squared_error 0.6370305973297326 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 2915.2970389986876 usercpu_time_millis 2872.0737409967114 usercpu_time_millis 2745.5864229996223 usercpu_time_millis 2729.7089960011363 usercpu_time_millis 2711.5572419934324 usercpu_time_millis 2702.2144719994685 usercpu_time_millis 2719.1982199983613 usercpu_time_millis 2750.1154859965027 usercpu_time_millis 2737.858418000542 usercpu_time_millis 2712.431143001595 usercpu_time_millis_testing 1.7388889973517507 usercpu_time_millis_testing 1.9461689989839215 usercpu_time_millis_testing 1.7492340011813212 usercpu_time_millis_testing 1.71477500043693 usercpu_time_millis_testing 1.7579629966348875 usercpu_time_millis_testing 1.6774809992057271 usercpu_time_millis_testing 1.7575019992364105 usercpu_time_millis_testing 1.7887399990286212 usercpu_time_millis_testing 1.7647710010351148 usercpu_time_millis_testing 1.758780999807641 usercpu_time_millis_training 2913.558150001336 usercpu_time_millis_training 2870.1275719977275 usercpu_time_millis_training 2743.837188998441 usercpu_time_millis_training 2727.9942210006993 usercpu_time_millis_training 2709.7992789967975 usercpu_time_millis_training 2700.536991000263 usercpu_time_millis_training 2717.440717999125 usercpu_time_millis_training 2748.326745997474 usercpu_time_millis_training 2736.0936469995067 usercpu_time_millis_training 2710.6723620017874