10092440 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) 8017547 axis 0 8778 copy true 8778 missing_values "NaN" 8778 strategy "mean" 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 13 8783 min_samples_split 19 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 46272 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 21105417 description https://api.openml.org/data/download/21105417/description.xml -1 21105418 predictions https://api.openml.org/data/download/21105418/predictions.arff area_under_roc_curve 0.9308361111111111 [0.994665,0.91141,0.949819,0.949476,0.878953,0.946669,0.862779,0.962876,0.98296,0.868753] average_cost 0 f_measure 0.7382165472082501 [0.975369,0.665169,0.880407,0.792553,0.652632,0.79,0.484848,0.791367,0.934726,0.415094] kappa 0.7083333333333334 kb_relative_information_score 1465.5433114760285 mean_absolute_error 0.062403063056804216 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.743005114554511 [0.961165,0.604082,0.896373,0.846591,0.688889,0.79,0.454148,0.760369,0.978142,0.450292] predictive_accuracy 0.7375 prior_entropy 3.321928094887362 recall 0.7375 [0.99,0.74,0.865,0.745,0.62,0.79,0.52,0.825,0.895,0.385] relative_absolute_error 0.3466836836489016 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.196640012084485 root_relative_squared_error 0.6554667069482732 total_cost 0 area_under_roc_curve 0.9424305555555555 [0.999861,0.944167,0.912361,0.98625,0.931944,0.997778,0.809167,0.950694,0.996111,0.895972] area_under_roc_curve 0.9237916666666668 [0.974444,0.911944,0.883056,0.986111,0.852778,0.93125,0.880417,0.954583,0.947222,0.916111] area_under_roc_curve 0.9169444444444445 [1,0.9025,0.962639,0.9275,0.912778,0.94,0.796389,0.900139,0.999861,0.827639] area_under_roc_curve 0.9459444444444446 [1,0.846667,0.992361,0.983472,0.931944,0.963333,0.918333,0.979861,0.973889,0.869583] area_under_roc_curve 0.9365972222222222 [0.999722,0.903056,0.99625,0.975278,0.897222,0.877083,0.883611,0.983611,0.971806,0.878333] area_under_roc_curve 0.9537222222222224 [1,0.926806,0.998056,0.913889,0.918333,0.963056,0.891389,0.988472,0.995972,0.94125] area_under_roc_curve 0.9045277777777777 [1,0.961111,0.861806,0.900278,0.774028,0.927778,0.906389,0.9575,0.996111,0.760278] area_under_roc_curve 0.919513888888889 [0.974722,0.922222,0.939028,0.910972,0.856528,0.961111,0.84,0.993333,0.956389,0.840833] area_under_roc_curve 0.9437500000000001 [1,0.891111,0.998472,0.981944,0.864028,0.937639,0.866806,0.9825,1,0.915] area_under_roc_curve 0.9232083333333333 [0.999444,0.904583,0.959583,0.932222,0.861944,0.969861,0.837639,0.936667,0.979028,0.851111] 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 0.7577092899633109 [0.97561,0.705882,0.829268,0.857143,0.7,0.894737,0.421053,0.722222,0.947368,0.52381] f_measure 0.7452907545380753 [0.926829,0.744186,0.8,0.8,0.666667,0.809524,0.583333,0.8,0.947368,0.375] f_measure 0.6885337709303774 [1,0.571429,0.888889,0.722222,0.608696,0.820513,0.363636,0.545455,0.97561,0.388889] f_measure 0.7268023361039593 [1,0.6,0.883721,0.780488,0.651163,0.742857,0.577778,0.731707,0.947368,0.352941] f_measure 0.6992668770645852 [0.97561,0.55,0.894737,0.789474,0.588235,0.697674,0.428571,0.77551,0.95,0.342857] f_measure 0.7752538584822776 [0.97561,0.8,0.952381,0.764706,0.7,0.837209,0.511628,0.863636,0.947368,0.4] f_measure 0.71909880538504 [0.97561,0.666667,0.833333,0.789474,0.685714,0.666667,0.465116,0.818182,0.947368,0.342857] f_measure 0.7496302522664878 [0.974359,0.565217,0.894737,0.809524,0.611111,0.756757,0.555556,0.930233,0.857143,0.541667] f_measure 0.7672816364662176 [1,0.756757,0.952381,0.810811,0.647059,0.790698,0.439024,0.826087,1,0.45] f_measure 0.7367347877290596 [0.952381,0.705882,0.864865,0.8,0.666667,0.894737,0.489796,0.829268,0.810811,0.352941] kappa 0.7277777777777777 kappa 0.7222222222222222 kappa 0.65 kappa 0.7 kappa 0.6722222222222222 kappa 0.7555555555555555 kappa 0.6888888888888889 kappa 0.7166666666666667 kappa 0.7444444444444445 kappa 0.7055555555555556 kb_relative_information_score 149.8388690496913 kb_relative_information_score 144.93864329291284 kb_relative_information_score 141.89060699829287 kb_relative_information_score 148.3902242202006 kb_relative_information_score 145.10974009151477 kb_relative_information_score 153.90178002207855 kb_relative_information_score 143.59497287845954 kb_relative_information_score 144.6826500628474 kb_relative_information_score 152.1979071058088 kb_relative_information_score 140.9979177542319 mean_absolute_error 0.058363204362305784 mean_absolute_error 0.06509244741072774 mean_absolute_error 0.06512845172804785 mean_absolute_error 0.06152239002662873 mean_absolute_error 0.06306563745855402 mean_absolute_error 0.0566076043961722 mean_absolute_error 0.06490876974893153 mean_absolute_error 0.06204536343945008 mean_absolute_error 0.05811740795753948 mean_absolute_error 0.06917935403968004 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 0.7743938812083974 [0.952381,0.580645,0.809524,1,0.7,0.944444,0.444444,0.8125,1,0.5] precision 0.752314135140222 [0.904762,0.695652,0.8,0.8,0.75,0.772727,0.5,0.8,1,0.5] precision 0.7091347400331067 [1,0.482759,1,0.8125,0.538462,0.842105,0.333333,0.692308,0.952381,0.4375] precision 0.7326211180124226 [1,0.6,0.826087,0.761905,0.608696,0.866667,0.52,0.714286,1,0.428571] precision 0.7060881680371935 [0.952381,0.55,0.944444,0.833333,0.714286,0.652174,0.409091,0.655172,0.95,0.4] precision 0.7809246188594016 [0.952381,0.8,0.909091,0.928571,0.7,0.782609,0.478261,0.791667,1,0.466667] precision 0.7315789102202146 [0.952381,0.571429,0.9375,0.833333,0.8,0.636364,0.434783,0.75,1,0.4] precision 0.7687052060613441 [1,0.5,0.944444,0.772727,0.6875,0.823529,0.625,0.869565,1,0.464286] precision 0.7749158641869639 [1,0.823529,0.909091,0.882353,0.785714,0.73913,0.428571,0.730769,1,0.45] precision 0.759293160146723 [0.909091,0.580645,0.941176,0.933333,0.75,0.944444,0.413793,0.809524,0.882353,0.428571] predictive_accuracy 0.755 predictive_accuracy 0.75 predictive_accuracy 0.685 predictive_accuracy 0.73 predictive_accuracy 0.705 predictive_accuracy 0.78 predictive_accuracy 0.72 predictive_accuracy 0.745 predictive_accuracy 0.77 predictive_accuracy 0.735 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 0.755 [1,0.9,0.85,0.75,0.7,0.85,0.4,0.65,0.9,0.55] recall 0.75 [0.95,0.8,0.8,0.8,0.6,0.85,0.7,0.8,0.9,0.3] recall 0.685 [1,0.7,0.8,0.65,0.7,0.8,0.4,0.45,1,0.35] recall 0.73 [1,0.6,0.95,0.8,0.7,0.65,0.65,0.75,0.9,0.3] recall 0.705 [1,0.55,0.85,0.75,0.5,0.75,0.45,0.95,0.95,0.3] recall 0.78 [1,0.8,1,0.65,0.7,0.9,0.55,0.95,0.9,0.35] recall 0.72 [1,0.8,0.75,0.75,0.6,0.7,0.5,0.9,0.9,0.3] recall 0.745 [0.95,0.65,0.85,0.85,0.55,0.7,0.5,1,0.75,0.65] recall 0.77 [1,0.7,1,0.75,0.55,0.85,0.45,0.95,1,0.45] recall 0.735 [1,0.9,0.8,0.7,0.6,0.85,0.6,0.85,0.75,0.3] relative_absolute_error 0.3242400242350325 relative_absolute_error 0.36162470783737677 relative_absolute_error 0.3618247318224885 relative_absolute_error 0.34179105570349333 relative_absolute_error 0.35036465254752275 relative_absolute_error 0.3144866910898459 relative_absolute_error 0.3606042763829534 relative_absolute_error 0.3446964635525008 relative_absolute_error 0.3228744886529975 relative_absolute_error 0.3843297446648895 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 0.18900799153960915 root_mean_squared_error 0.20249865018270513 root_mean_squared_error 0.20690870253005686 root_mean_squared_error 0.1918846400551462 root_mean_squared_error 0.20151964878906467 root_mean_squared_error 0.17869242649044975 root_mean_squared_error 0.20733083915594416 root_mean_squared_error 0.20110754472980583 root_mean_squared_error 0.18130279931959078 root_mean_squared_error 0.20364212353011127 root_relative_squared_error 0.6300266384653642 root_relative_squared_error 0.6749955006090174 root_relative_squared_error 0.6896956751001899 root_relative_squared_error 0.6396154668504876 root_relative_squared_error 0.6717321626302158 root_relative_squared_error 0.5956414216348328 root_relative_squared_error 0.691102797186481 root_relative_squared_error 0.6703584824326865 root_relative_squared_error 0.6043426643986363 root_relative_squared_error 0.6788070784337046 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 151.9455220004602 usercpu_time_millis 142.50715000162018 usercpu_time_millis 140.24454599893943 usercpu_time_millis 143.25774000099045 usercpu_time_millis 117.04119400201307 usercpu_time_millis 120.80664400127716 usercpu_time_millis 111.68127599921718 usercpu_time_millis 109.6082940002816 usercpu_time_millis 112.92850299832935 usercpu_time_millis 112.8885790003551 usercpu_time_millis_testing 1.9750960000237683 usercpu_time_millis_testing 1.9218680008634692 usercpu_time_millis_testing 1.9744589990295935 usercpu_time_millis_testing 1.9405170005484251 usercpu_time_millis_testing 1.5744070005894173 usercpu_time_millis_testing 1.759442000548006 usercpu_time_millis_testing 1.643878998947912 usercpu_time_millis_testing 1.4966270009608706 usercpu_time_millis_testing 1.5203449984255712 usercpu_time_millis_testing 1.521476000561961 usercpu_time_millis_training 149.97042600043642 usercpu_time_millis_training 140.5852820007567 usercpu_time_millis_training 138.27008699990984 usercpu_time_millis_training 141.31722300044203 usercpu_time_millis_training 115.46678700142365 usercpu_time_millis_training 119.04720200072916 usercpu_time_millis_training 110.03739700026927 usercpu_time_millis_training 108.11166699932073 usercpu_time_millis_training 111.40815799990378 usercpu_time_millis_training 111.36710299979313