10100510 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) 8025683 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 12 8783 min_samples_split 12 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 2120 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 21121557 description https://api.openml.org/data/download/21121557/description.xml -1 21121559 predictions https://api.openml.org/data/download/21121559/predictions.arff area_under_roc_curve 0.9340704166666667 [0.990886,0.893229,0.966782,0.943867,0.907835,0.951894,0.866378,0.973778,0.97756,0.868496] average_cost 0 f_measure 0.7537149226913056 [0.952854,0.679426,0.895288,0.781775,0.69,0.835897,0.48139,0.841076,0.935,0.444444] kappa 0.7272222222222222 kb_relative_information_score 1525.6890893344005 mean_absolute_error 0.05674541132580439 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7543505336657883 [0.945813,0.651376,0.93956,0.751152,0.69,0.857895,0.477833,0.822967,0.935,0.47191] predictive_accuracy 0.7545000000000001 prior_entropy 3.321928094887362 recall 0.7545 [0.96,0.71,0.855,0.815,0.69,0.815,0.485,0.86,0.935,0.42] relative_absolute_error 0.3152522851433481 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1907633996878132 root_relative_squared_error 0.6358779989593676 total_cost 0 area_under_roc_curve 0.9449583333333332 [0.999861,0.96625,0.964861,0.907639,0.93375,0.997083,0.878056,0.994583,0.998056,0.809444] area_under_roc_curve 0.9073333333333333 [0.971389,0.889167,0.918056,0.930833,0.820972,0.896667,0.844583,0.986389,0.948056,0.867222] area_under_roc_curve 0.9402083333333333 [0.99875,0.875694,0.945417,0.933472,0.984583,0.99125,0.862639,0.946528,0.999722,0.864028] area_under_roc_curve 0.9250277777777779 [0.995,0.871389,0.971806,0.987917,0.889444,0.881389,0.832917,0.940972,0.974583,0.904861] area_under_roc_curve 0.9335972222222222 [1,0.910694,0.966111,0.913056,0.924167,0.969306,0.914861,0.928889,0.996667,0.812222] area_under_roc_curve 0.944875 [1,0.924028,0.998472,0.9325,0.913472,0.936111,0.895833,0.989444,0.99875,0.860139] area_under_roc_curve 0.9433750000000001 [0.999722,0.893472,0.9475,0.964028,0.954306,0.980972,0.888056,0.987361,0.974444,0.843889] area_under_roc_curve 0.926888888888889 [0.973472,0.879306,0.999444,0.933056,0.839167,0.992917,0.868194,0.986389,0.92,0.876944] area_under_roc_curve 0.9513472222222222 [0.974444,0.844444,0.995972,0.989306,0.959861,0.9425,0.897778,0.986389,1,0.922778] area_under_roc_curve 0.924486111111111 [0.996389,0.889861,0.96375,0.942083,0.8625,0.938056,0.780972,0.991944,0.969306,0.91] 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 0.7553374789921347 [0.97561,0.681818,0.842105,0.820513,0.8,0.923077,0.465116,0.842105,0.9,0.30303] f_measure 0.6958932791750128 [0.894737,0.666667,0.833333,0.772727,0.571429,0.648649,0.242424,0.871795,0.947368,0.509804] f_measure 0.7605237152048973 [0.95,0.681818,0.918919,0.8,0.8,0.878049,0.478261,0.8,0.97561,0.322581] f_measure 0.770311077015253 [0.904762,0.682927,0.923077,0.851064,0.666667,0.777778,0.585366,0.8,0.947368,0.564103] f_measure 0.7144931961527478 [0.97561,0.604651,0.888889,0.722222,0.651163,0.864865,0.421053,0.727273,0.930233,0.358974] f_measure 0.7814300120042857 [1,0.782609,0.947368,0.790698,0.628571,0.857143,0.529412,0.818182,0.904762,0.555556] f_measure 0.7770549651832791 [0.974359,0.666667,0.923077,0.780488,0.75,0.829268,0.608696,0.863636,0.974359,0.4] f_measure 0.7365028230343033 [0.95,0.651163,0.9,0.6,0.628571,0.883721,0.486486,0.863636,0.864865,0.536585] f_measure 0.7920492228783236 [0.974359,0.684211,0.894737,0.826087,0.736842,0.810811,0.55,0.888889,0.97561,0.578947] f_measure 0.7296142719171648 [0.930233,0.682927,0.878049,0.829268,0.628571,0.864865,0.4,0.926829,0.926829,0.228571] kappa 0.7333333333333334 kappa 0.6611111111111111 kappa 0.7388888888888889 kappa 0.7444444444444445 kappa 0.6833333333333333 kappa 0.7666666666666667 kappa 0.7555555555555555 kappa 0.7111111111111111 kappa 0.7722222222222223 kappa 0.7055555555555556 kb_relative_information_score 154.06558426764485 kb_relative_information_score 143.1012700947818 kb_relative_information_score 154.92288286857433 kb_relative_information_score 153.30086262661627 kb_relative_information_score 151.20417595620617 kb_relative_information_score 154.95044200128893 kb_relative_information_score 156.8214134497329 kb_relative_information_score 149.5966025945583 kb_relative_information_score 160.25937273895826 kb_relative_information_score 147.46648273605948 mean_absolute_error 0.05398257832302453 mean_absolute_error 0.0661966933285078 mean_absolute_error 0.05474111542052715 mean_absolute_error 0.054405392968744366 mean_absolute_error 0.05837316848528145 mean_absolute_error 0.055486198623059195 mean_absolute_error 0.052575641419535246 mean_absolute_error 0.060719744637065226 mean_absolute_error 0.04965767687297671 mean_absolute_error 0.061315903179320175 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 0.7584030407680292 [0.952381,0.625,0.888889,0.842105,0.72,0.947368,0.434783,0.888889,0.9,0.384615] precision 0.7099762301044384 [0.944444,0.636364,0.9375,0.708333,0.545455,0.705882,0.307692,0.894737,1,0.419355] precision 0.771547952047952 [0.95,0.625,1,0.8,0.72,0.857143,0.423077,0.933333,0.952381,0.454545] precision 0.7813485101642996 [0.863636,0.666667,0.947368,0.740741,0.636364,0.875,0.571429,0.933333,1,0.578947] precision 0.7229067847581443 [0.952381,0.565217,1,0.8125,0.608696,0.941176,0.444444,0.666667,0.869565,0.368421] precision 0.786444678509896 [1,0.692308,1,0.73913,0.733333,0.818182,0.642857,0.75,0.863636,0.625] precision 0.7815591864276076 [1,0.75,0.947368,0.761905,0.75,0.809524,0.538462,0.791667,1,0.466667] precision 0.7404180367799295 [0.95,0.608696,0.9,0.6,0.733333,0.826087,0.529412,0.791667,0.941176,0.52381] precision 0.7971058679882209 [1,0.722222,0.944444,0.730769,0.777778,0.882353,0.55,0.8,0.952381,0.611111] precision 0.7313598830836683 [0.869565,0.666667,0.857143,0.809524,0.733333,0.941176,0.36,0.904762,0.904762,0.266667] predictive_accuracy 0.76 predictive_accuracy 0.695 predictive_accuracy 0.765 predictive_accuracy 0.77 predictive_accuracy 0.715 predictive_accuracy 0.79 predictive_accuracy 0.78 predictive_accuracy 0.74 predictive_accuracy 0.795 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 0.76 [1,0.75,0.8,0.8,0.9,0.9,0.5,0.8,0.9,0.25] recall 0.695 [0.85,0.7,0.75,0.85,0.6,0.6,0.2,0.85,0.9,0.65] recall 0.765 [0.95,0.75,0.85,0.8,0.9,0.9,0.55,0.7,1,0.25] recall 0.77 [0.95,0.7,0.9,1,0.7,0.7,0.6,0.7,0.9,0.55] recall 0.715 [1,0.65,0.8,0.65,0.7,0.8,0.4,0.8,1,0.35] recall 0.79 [1,0.9,0.9,0.85,0.55,0.9,0.45,0.9,0.95,0.5] recall 0.78 [0.95,0.6,0.9,0.8,0.75,0.85,0.7,0.95,0.95,0.35] recall 0.74 [0.95,0.7,0.9,0.6,0.55,0.95,0.45,0.95,0.8,0.55] recall 0.795 [0.95,0.65,0.85,0.95,0.7,0.75,0.55,1,1,0.55] recall 0.735 [1,0.7,0.9,0.85,0.55,0.8,0.45,0.95,0.95,0.2] relative_absolute_error 0.29990321290569216 relative_absolute_error 0.36775940738059937 relative_absolute_error 0.3041173078918178 relative_absolute_error 0.30225218315969127 relative_absolute_error 0.3242953804737862 relative_absolute_error 0.3082566590169959 relative_absolute_error 0.29208689677519617 relative_absolute_error 0.3373319146503628 relative_absolute_error 0.2758759826276487 relative_absolute_error 0.3406439065517792 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 0.18890377225470323 root_mean_squared_error 0.21286528308361008 root_mean_squared_error 0.18227716531279173 root_mean_squared_error 0.19059383861827647 root_mean_squared_error 0.1949723771996661 root_mean_squared_error 0.18037224756676645 root_mean_squared_error 0.18234499282114985 root_mean_squared_error 0.19531000573533538 root_mean_squared_error 0.17489142468029564 root_mean_squared_error 0.2020604504580829 root_relative_squared_error 0.6296792408490112 root_relative_squared_error 0.709550943612034 root_relative_squared_error 0.6075905510426395 root_relative_squared_error 0.6353127953942553 root_relative_squared_error 0.6499079239988873 root_relative_squared_error 0.6012408252225553 root_relative_squared_error 0.6078166427371665 root_relative_squared_error 0.6510333524511184 root_relative_squared_error 0.5829714156009858 root_relative_squared_error 0.6735348348602769 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 650.6645670000353 usercpu_time_millis 537.5638930000832 usercpu_time_millis 530.4615459999695 usercpu_time_millis 523.3597649998956 usercpu_time_millis 543.4863360000008 usercpu_time_millis 512.6050000001214 usercpu_time_millis 543.8018039999406 usercpu_time_millis 548.2048230001055 usercpu_time_millis 521.7866440000307 usercpu_time_millis 522.702696999886 usercpu_time_millis_testing 1.6759290000436522 usercpu_time_millis_testing 1.696886000104314 usercpu_time_millis_testing 1.6604209999968589 usercpu_time_millis_testing 1.6888679999738088 usercpu_time_millis_testing 1.647932999958357 usercpu_time_millis_testing 1.681399000062811 usercpu_time_millis_testing 1.6885000000002037 usercpu_time_millis_testing 1.826848000064274 usercpu_time_millis_testing 1.6884530000425002 usercpu_time_millis_testing 1.7345579999528127 usercpu_time_millis_training 648.9886379999916 usercpu_time_millis_training 535.8670069999789 usercpu_time_millis_training 528.8011249999727 usercpu_time_millis_training 521.6708969999218 usercpu_time_millis_training 541.8384030000425 usercpu_time_millis_training 510.9236010000586 usercpu_time_millis_training 542.1133039999404 usercpu_time_millis_training 546.3779750000413 usercpu_time_millis_training 520.0981909999882 usercpu_time_millis_training 520.9681389999332