10098558 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) 8023711 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 "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 15 8783 min_samples_split 11 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 24627 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 21117653 description https://api.openml.org/data/download/21117653/description.xml -1 21117654 predictions https://api.openml.org/data/download/21117654/predictions.arff area_under_roc_curve 0.9414415277777779 [0.991129,0.906801,0.969465,0.936371,0.923653,0.955908,0.88846,0.968965,0.977296,0.896367] average_cost 0 f_measure 0.7471877310049931 [0.953317,0.657596,0.895288,0.757282,0.690176,0.820779,0.474227,0.846715,0.937343,0.439153] kappa 0.7205555555555556 kb_relative_information_score 1519.246237338056 mean_absolute_error 0.058767163610435894 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7483749720154144 [0.937198,0.60166,0.93956,0.735849,0.695431,0.854054,0.489362,0.824645,0.939698,0.466292] predictive_accuracy 0.7484999999999999 prior_entropy 3.321928094887362 recall 0.7485 [0.97,0.725,0.855,0.78,0.685,0.79,0.46,0.87,0.935,0.415] relative_absolute_error 0.3264842422801894 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1895690592937089 root_relative_squared_error 0.6318968643123533 total_cost 0 area_under_roc_curve 0.9449583333333332 [0.999861,0.918194,0.964861,0.882778,0.952778,0.997778,0.870556,0.968889,0.9975,0.896389] area_under_roc_curve 0.913375 [0.974167,0.91125,0.94,0.929444,0.838056,0.89625,0.834583,0.987083,0.948056,0.874861] area_under_roc_curve 0.9359583333333334 [0.974028,0.886667,0.945139,0.860833,0.97375,0.990833,0.891667,0.941667,0.996944,0.898056] area_under_roc_curve 0.936388888888889 [0.997222,0.882361,0.972361,0.985972,0.907778,0.901111,0.89625,0.945,0.973889,0.901944] area_under_roc_curve 0.9370833333333334 [0.997083,0.889167,0.966806,0.908611,0.946389,0.961806,0.924861,0.930833,0.99875,0.846528] area_under_roc_curve 0.9489583333333332 [0.999861,0.920139,0.998056,0.959444,0.942083,0.938194,0.870694,0.978056,0.99875,0.884306] area_under_roc_curve 0.9615833333333333 [0.999722,0.955139,0.9475,0.961111,0.980833,0.979583,0.925,0.962917,0.974722,0.929306] area_under_roc_curve 0.9331527777777778 [0.973611,0.852222,0.999444,0.939306,0.86125,0.992361,0.909861,0.987778,0.919444,0.89625] area_under_roc_curve 0.9678194444444445 [0.999583,0.917083,0.997917,0.993194,0.953194,0.970833,0.923889,0.993472,1,0.929028] area_under_roc_curve 0.9367500000000003 [0.995972,0.940694,0.9675,0.939167,0.882361,0.93625,0.824861,0.993472,0.968611,0.918611] 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 0.72847263671636 [0.97561,0.6,0.842105,0.8,0.790698,0.923077,0.4,0.789474,0.878049,0.285714] f_measure 0.7063709866374285 [0.95,0.681818,0.833333,0.780488,0.578947,0.684211,0.315789,0.837209,0.947368,0.454545] f_measure 0.7175355233282061 [0.95,0.625,0.918919,0.611111,0.755556,0.878049,0.35,0.833333,0.97561,0.277778] f_measure 0.7406266295491671 [0.904762,0.595745,0.923077,0.826087,0.590909,0.777778,0.540541,0.8,0.947368,0.5] f_measure 0.7375972821929175 [0.97561,0.636364,0.888889,0.7,0.666667,0.789474,0.5,0.755556,0.97561,0.487805] f_measure 0.7745961278929464 [0.97561,0.744186,0.947368,0.8,0.647059,0.857143,0.484848,0.844444,0.904762,0.540541] f_measure 0.7948902595414222 [0.974359,0.75,0.923077,0.761905,0.756757,0.761905,0.65,0.883721,0.974359,0.512821] f_measure 0.7460244233980687 [0.95,0.604651,0.9,0.636364,0.628571,0.9,0.571429,0.878049,0.864865,0.526316] f_measure 0.7706254291429083 [0.95,0.666667,0.894737,0.833333,0.790698,0.75,0.487805,0.883721,0.97561,0.473684] f_measure 0.7453237356248817 [0.930233,0.695652,0.878049,0.8,0.666667,0.864865,0.444444,0.952381,0.926829,0.294118] kappa 0.7 kappa 0.6722222222222222 kappa 0.6888888888888889 kappa 0.7111111111111111 kappa 0.7111111111111111 kappa 0.7611111111111112 kappa 0.7722222222222223 kappa 0.7166666666666667 kappa 0.75 kappa 0.7222222222222222 kb_relative_information_score 151.35407409414685 kb_relative_information_score 142.64813446641335 kb_relative_information_score 147.40088387632147 kb_relative_information_score 150.89874159034093 kb_relative_information_score 150.96249285485473 kb_relative_information_score 154.10811776549284 kb_relative_information_score 161.58926262863616 kb_relative_information_score 149.22233689554204 kb_relative_information_score 161.69871395725283 kb_relative_information_score 149.36347920907284 mean_absolute_error 0.05759576611940971 mean_absolute_error 0.06837413016794952 mean_absolute_error 0.061624157072655186 mean_absolute_error 0.058475901290831606 mean_absolute_error 0.05979170103029237 mean_absolute_error 0.05719493735529734 mean_absolute_error 0.04773753891202101 mean_absolute_error 0.06282516267347163 mean_absolute_error 0.05176841116740761 mean_absolute_error 0.06228393031501975 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 0.7384911554247938 [0.952381,0.5,0.888889,0.933333,0.73913,0.947368,0.4,0.833333,0.857143,0.333333] precision 0.714034679089027 [0.95,0.625,0.9375,0.761905,0.611111,0.722222,0.333333,0.782609,1,0.416667] precision 0.7262738095238095 [0.95,0.535714,1,0.6875,0.68,0.857143,0.35,0.9375,0.952381,0.3125] precision 0.7561027828094392 [0.863636,0.518519,0.947368,0.730769,0.541667,0.875,0.588235,0.933333,1,0.5625] precision 0.748064935064935 [0.952381,0.583333,1,0.7,0.636364,0.833333,0.666667,0.68,0.952381,0.47619] precision 0.7799185503328726 [0.952381,0.695652,1,0.72,0.785714,0.818182,0.615385,0.76,0.863636,0.588235] precision 0.7977846033358215 [1,0.75,0.947368,0.727273,0.823529,0.727273,0.65,0.826087,1,0.526316] precision 0.7531213486712208 [0.95,0.565217,0.9,0.583333,0.733333,0.9,0.545455,0.857143,0.941176,0.555556] precision 0.7852518978605935 [0.95,0.75,0.944444,0.714286,0.73913,1,0.47619,0.826087,0.952381,0.5] precision 0.7537598164836017 [0.869565,0.615385,0.857143,0.933333,0.75,0.941176,0.4,0.909091,0.904762,0.357143] predictive_accuracy 0.73 predictive_accuracy 0.705 predictive_accuracy 0.72 predictive_accuracy 0.74 predictive_accuracy 0.74 predictive_accuracy 0.785 predictive_accuracy 0.795 predictive_accuracy 0.745 predictive_accuracy 0.775 predictive_accuracy 0.75 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 0.73 [1,0.75,0.8,0.7,0.85,0.9,0.4,0.75,0.9,0.25] recall 0.705 [0.95,0.75,0.75,0.8,0.55,0.65,0.3,0.9,0.9,0.5] recall 0.72 [0.95,0.75,0.85,0.55,0.85,0.9,0.35,0.75,1,0.25] recall 0.74 [0.95,0.7,0.9,0.95,0.65,0.7,0.5,0.7,0.9,0.45] recall 0.74 [1,0.7,0.8,0.7,0.7,0.75,0.4,0.85,1,0.5] recall 0.785 [1,0.8,0.9,0.9,0.55,0.9,0.4,0.95,0.95,0.5] recall 0.795 [0.95,0.75,0.9,0.8,0.7,0.8,0.65,0.95,0.95,0.5] recall 0.745 [0.95,0.65,0.9,0.7,0.55,0.9,0.6,0.9,0.8,0.5] recall 0.775 [0.95,0.6,0.85,1,0.85,0.6,0.5,0.95,1,0.45] recall 0.75 [1,0.8,0.9,0.7,0.6,0.8,0.5,1,0.95,0.25] relative_absolute_error 0.3199764784411654 relative_absolute_error 0.3798562787108311 relative_absolute_error 0.34235642818141804 relative_absolute_error 0.32486611828239814 relative_absolute_error 0.33217611683495796 relative_absolute_error 0.31774965197387445 relative_absolute_error 0.26520854951122813 relative_absolute_error 0.34902868151928723 relative_absolute_error 0.2876022842633759 relative_absolute_error 0.3460218350834435 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 0.19422621684161986 root_mean_squared_error 0.2104386326147341 root_mean_squared_error 0.19635385273710756 root_mean_squared_error 0.19218201042001248 root_mean_squared_error 0.19313915910426657 root_mean_squared_error 0.1809219602951694 root_mean_squared_error 0.1705259956634481 root_mean_squared_error 0.19319327042484982 root_mean_squared_error 0.16703070544040527 root_mean_squared_error 0.19372603956344586 root_relative_squared_error 0.6474207228053999 root_relative_squared_error 0.7014621087157807 root_relative_squared_error 0.6545128424570257 root_relative_squared_error 0.640606701400042 root_relative_squared_error 0.6437971970142223 root_relative_squared_error 0.6030732009838984 root_relative_squared_error 0.5684199855448273 root_relative_squared_error 0.6439775680828332 root_relative_squared_error 0.5567690181346846 root_relative_squared_error 0.6457534652114866 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 662.4681920000057 usercpu_time_millis 524.5270460000029 usercpu_time_millis 448.610773999917 usercpu_time_millis 443.9725110000836 usercpu_time_millis 447.74864900023204 usercpu_time_millis 438.06083000004037 usercpu_time_millis 460.18705799997406 usercpu_time_millis 467.5292280001031 usercpu_time_millis 439.91456499975357 usercpu_time_millis 446.9769659999656 usercpu_time_millis_testing 1.8559960001311993 usercpu_time_millis_testing 1.4340049999645998 usercpu_time_millis_testing 1.320097999951031 usercpu_time_millis_testing 1.3212200001362362 usercpu_time_millis_testing 1.3206470000568515 usercpu_time_millis_testing 1.3099870000132796 usercpu_time_millis_testing 1.312266000013551 usercpu_time_millis_testing 1.3240099999620725 usercpu_time_millis_testing 1.3100459998440783 usercpu_time_millis_testing 1.3183339999613963 usercpu_time_millis_training 660.6121959998745 usercpu_time_millis_training 523.0930410000383 usercpu_time_millis_training 447.29067599996597 usercpu_time_millis_training 442.6512909999474 usercpu_time_millis_training 446.4280020001752 usercpu_time_millis_training 436.7508430000271 usercpu_time_millis_training 458.8747919999605 usercpu_time_millis_training 466.20521800014103 usercpu_time_millis_training 438.6045189999095 usercpu_time_millis_training 445.6586320000042