10121491 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) 8046854 axis 0 8778 copy true 8778 missing_values "NaN" 8778 strategy "median" 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 "gini" 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 4 8783 min_samples_split 17 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 55124 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 21163520 description https://api.openml.org/data/download/21163520/description.xml -1 21163521 predictions https://api.openml.org/data/download/21163521/predictions.arff area_under_roc_curve 0.9118248611111112 [0.993978,0.865064,0.948789,0.919299,0.871469,0.940947,0.814907,0.955776,0.979988,0.828032] average_cost 0 f_measure 0.7569337802318191 [0.975369,0.705,0.872449,0.805,0.659898,0.830846,0.512702,0.802885,0.939948,0.465241] kappa 0.7294444444444445 kb_relative_information_score 1509.5222023409515 mean_absolute_error 0.05470117660117685 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7591775369905126 [0.961165,0.705,0.890625,0.805,0.670103,0.826733,0.476395,0.773148,0.983607,0.5] predictive_accuracy 0.7565000000000001 prior_entropy 3.321928094887362 recall 0.7565 [0.99,0.705,0.855,0.805,0.65,0.835,0.555,0.835,0.9,0.435] relative_absolute_error 0.30389542556208426 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.19933375807032322 root_relative_squared_error 0.6644458602344007 total_cost 0 area_under_roc_curve 0.9255555555555557 [0.996528,0.900833,0.914306,0.943194,0.894306,0.997639,0.849306,0.934583,0.999028,0.825833] area_under_roc_curve 0.9074722222222222 [0.974722,0.875417,0.917361,0.941944,0.838333,0.907083,0.823472,0.965417,0.973056,0.857917] area_under_roc_curve 0.8855138888888888 [1,0.878889,0.920417,0.849861,0.892361,0.890833,0.692361,0.917361,0.997222,0.815833] area_under_roc_curve 0.9237083333333332 [1,0.802917,0.97375,0.968472,0.90875,0.995139,0.841389,0.886944,0.974722,0.885] area_under_roc_curve 0.9067916666666668 [0.999722,0.788056,0.970833,0.937222,0.916667,0.886667,0.853194,0.946944,0.970972,0.797639] area_under_roc_curve 0.9326111111111111 [1,0.937778,0.995833,0.908611,0.893889,0.962222,0.858889,0.963333,0.999583,0.805972] area_under_roc_curve 0.9103611111111111 [0.996944,0.914167,0.895,0.913611,0.868472,0.909861,0.815,0.991944,0.973333,0.825278] area_under_roc_curve 0.9133194444444445 [0.974583,0.867083,0.940278,0.906667,0.794583,0.994167,0.869722,0.986944,0.967917,0.83125] area_under_roc_curve 0.9107083333333335 [1,0.811806,0.99625,0.965972,0.866389,0.917083,0.739861,0.982778,1,0.826944] area_under_roc_curve 0.904375 [0.997222,0.876389,0.968056,0.862361,0.84875,0.948333,0.805417,0.98625,0.940972,0.81] 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 0.7634537485050964 [0.97561,0.755556,0.809524,0.85,0.682927,0.923077,0.52381,0.722222,0.947368,0.444444] f_measure 0.7334198842548336 [0.926829,0.666667,0.833333,0.829268,0.606061,0.727273,0.488889,0.808511,0.947368,0.5] f_measure 0.7347590610915944 [1,0.714286,0.918919,0.684211,0.727273,0.810811,0.391304,0.756757,0.97561,0.368421] f_measure 0.8104419030976956 [1,0.684211,0.95,0.837209,0.73913,0.947368,0.615385,0.756757,0.974359,0.6] f_measure 0.7329632347004592 [0.97561,0.611111,0.888889,0.857143,0.631579,0.7,0.487805,0.765957,0.95,0.461538] f_measure 0.7911537227214377 [0.97561,0.8,0.926829,0.789474,0.731707,0.878049,0.625,0.8,0.947368,0.4375] f_measure 0.7509132703542067 [0.97561,0.697674,0.789474,0.769231,0.606061,0.809524,0.55814,0.869565,0.947368,0.486486] f_measure 0.7203476511294773 [0.974359,0.680851,0.810811,0.731707,0.578947,0.85,0.488889,0.769231,0.857143,0.461538] f_measure 0.7762916501546036 [1,0.764706,0.95,0.878049,0.578947,0.790698,0.444444,0.844444,1,0.511628] f_measure 0.742674279764063 [0.952381,0.666667,0.844444,0.810811,0.666667,0.894737,0.5,0.904762,0.833333,0.352941] kappa 0.7388888888888889 kappa 0.7055555555555556 kappa 0.7 kappa 0.788888888888889 kappa 0.7055555555555556 kappa 0.7722222222222223 kappa 0.7277777777777777 kappa 0.6833333333333333 kappa 0.7555555555555555 kappa 0.7166666666666667 kb_relative_information_score 153.00572107983658 kb_relative_information_score 149.13373123902306 kb_relative_information_score 146.82558223812308 kb_relative_information_score 157.32695136682906 kb_relative_information_score 145.81821207927172 kb_relative_information_score 157.5966492253718 kb_relative_information_score 149.73461818921575 kb_relative_information_score 147.6763534587761 kb_relative_information_score 154.50110265149505 kb_relative_information_score 147.90328081303332 mean_absolute_error 0.05326122072372073 mean_absolute_error 0.056095220057720045 mean_absolute_error 0.05786100011100007 mean_absolute_error 0.048847256909756914 mean_absolute_error 0.06020585664335662 mean_absolute_error 0.050185225885225865 mean_absolute_error 0.053341404428904414 mean_absolute_error 0.05881490037740037 mean_absolute_error 0.05085400432900431 mean_absolute_error 0.05754567654567654 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 0.7681643312827524 [0.952381,0.68,0.772727,0.85,0.666667,0.947368,0.5,0.8125,1,0.5] precision 0.7478097380202644 [0.904762,0.684211,0.9375,0.809524,0.769231,0.666667,0.44,0.703704,1,0.5625] precision 0.7464013111071934 [1,0.681818,1,0.722222,0.666667,0.882353,0.346154,0.823529,0.952381,0.388889] precision 0.8163785430853677 [1,0.722222,0.95,0.782609,0.653846,1,0.631579,0.823529,1,0.6] precision 0.7391270790612896 [0.952381,0.6875,1,0.818182,0.666667,0.7,0.47619,0.666667,0.95,0.473684] precision 0.7980952380952381 [0.952381,0.8,0.904762,0.833333,0.714286,0.857143,0.535714,0.8,1,0.583333] precision 0.7589701589297768 [0.952381,0.652174,0.833333,0.789474,0.769231,0.772727,0.521739,0.769231,1,0.529412] precision 0.7353500253902732 [1,0.592593,0.882353,0.714286,0.611111,0.85,0.44,0.789474,1,0.473684] precision 0.7824216701173223 [1,0.928571,0.95,0.857143,0.611111,0.73913,0.5,0.76,1,0.478261] precision 0.7540531151854681 [0.909091,0.75,0.76,0.882353,0.636364,0.944444,0.428571,0.863636,0.9375,0.428571] predictive_accuracy 0.765 predictive_accuracy 0.735 predictive_accuracy 0.73 predictive_accuracy 0.81 predictive_accuracy 0.735 predictive_accuracy 0.795 predictive_accuracy 0.755 predictive_accuracy 0.715 predictive_accuracy 0.78 predictive_accuracy 0.745 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 0.765 [1,0.85,0.85,0.85,0.7,0.9,0.55,0.65,0.9,0.4] recall 0.735 [0.95,0.65,0.75,0.85,0.5,0.8,0.55,0.95,0.9,0.45] recall 0.73 [1,0.75,0.85,0.65,0.8,0.75,0.45,0.7,1,0.35] recall 0.81 [1,0.65,0.95,0.9,0.85,0.9,0.6,0.7,0.95,0.6] recall 0.735 [1,0.55,0.8,0.9,0.6,0.7,0.5,0.9,0.95,0.45] recall 0.795 [1,0.8,0.95,0.75,0.75,0.9,0.75,0.8,0.9,0.35] recall 0.755 [1,0.75,0.75,0.75,0.5,0.85,0.6,1,0.9,0.45] recall 0.715 [0.95,0.8,0.75,0.75,0.55,0.85,0.55,0.75,0.75,0.45] recall 0.78 [1,0.65,0.95,0.9,0.55,0.85,0.4,0.95,1,0.55] recall 0.745 [1,0.6,0.95,0.75,0.7,0.85,0.6,0.95,0.75,0.3] relative_absolute_error 0.2958956706873377 relative_absolute_error 0.3116401114317784 relative_absolute_error 0.3214500006166674 relative_absolute_error 0.27137364949864984 relative_absolute_error 0.3344769813519816 relative_absolute_error 0.27880681047347733 relative_absolute_error 0.29634113571613596 relative_absolute_error 0.3267494465411136 relative_absolute_error 0.2825222462722465 relative_absolute_error 0.3196982030315367 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 0.19406384637509583 root_mean_squared_error 0.2036797898136921 root_mean_squared_error 0.2110595813605475 root_mean_squared_error 0.18647997966280572 root_mean_squared_error 0.21014075589741615 root_mean_squared_error 0.18352584514085699 root_mean_squared_error 0.2010168186870777 root_mean_squared_error 0.2046513545448988 root_mean_squared_error 0.19247369433811992 root_mean_squared_error 0.2041944506315022 root_relative_squared_error 0.6468794879169865 root_relative_squared_error 0.6789326327123075 root_relative_squared_error 0.703531937868492 root_relative_squared_error 0.6215999322093527 root_relative_squared_error 0.700469186324721 root_relative_squared_error 0.6117528171361903 root_relative_squared_error 0.6700560622902593 root_relative_squared_error 0.6821711818163297 root_relative_squared_error 0.6415789811270669 root_relative_squared_error 0.6806481687716744 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 186.24606999765092 usercpu_time_millis 172.2167679999984 usercpu_time_millis 173.9281679983833 usercpu_time_millis 165.33745400010957 usercpu_time_millis 136.90410999879532 usercpu_time_millis 140.96577199779858 usercpu_time_millis 141.0844839974743 usercpu_time_millis 140.1856919983402 usercpu_time_millis 139.64095700066537 usercpu_time_millis 138.5417569981655 usercpu_time_millis_testing 2.0291589989938075 usercpu_time_millis_testing 2.022554999712156 usercpu_time_millis_testing 2.0292760000302223 usercpu_time_millis_testing 1.6981779990601353 usercpu_time_millis_testing 1.663605999056017 usercpu_time_millis_testing 1.7104969992942642 usercpu_time_millis_testing 1.6873129989107838 usercpu_time_millis_testing 1.8020699990302091 usercpu_time_millis_testing 1.6764030006015673 usercpu_time_millis_testing 1.6702159991837107 usercpu_time_millis_training 184.2169109986571 usercpu_time_millis_training 170.19421300028625 usercpu_time_millis_training 171.89889199835306 usercpu_time_millis_training 163.63927600104944 usercpu_time_millis_training 135.2405039997393 usercpu_time_millis_training 139.25527499850432 usercpu_time_millis_training 139.39717099856352 usercpu_time_millis_training 138.38362199930998 usercpu_time_millis_training 137.9645540000638 usercpu_time_millis_training 136.8715409989818