10080246 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) 8005221 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 8 8783 min_samples_split 5 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 41044 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 21081028 description https://api.openml.org/data/download/21081028/description.xml -1 21081029 predictions https://api.openml.org/data/download/21081029/predictions.arff area_under_roc_curve 0.9247736111111111 [0.993943,0.883171,0.972046,0.936626,0.921004,0.940286,0.827154,0.966365,0.974922,0.832218] average_cost 0 f_measure 0.7575442895881602 [0.962406,0.69378,0.912821,0.781991,0.732824,0.825641,0.47343,0.836634,0.926209,0.429708] kappa 0.7305555555555555 kb_relative_information_score 1531.5022755637974 mean_absolute_error 0.05296247668997691 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7590537092252136 [0.964824,0.665138,0.936842,0.743243,0.746114,0.847368,0.457944,0.828431,0.943005,0.457627] predictive_accuracy 0.7575 prior_entropy 3.321928094887362 recall 0.7575 [0.96,0.725,0.89,0.825,0.72,0.805,0.49,0.845,0.91,0.405] relative_absolute_error 0.29423598161097375 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.19351993623476504 root_relative_squared_error 0.6450664541158736 total_cost 0 area_under_roc_curve 0.9358611111111109 [1,0.951528,0.995556,0.964306,0.931806,0.943611,0.825278,0.965139,0.998333,0.783056] area_under_roc_curve 0.9016111111111113 [0.971667,0.893889,0.919722,0.909306,0.800139,0.873333,0.8775,0.988889,0.948611,0.833056] area_under_roc_curve 0.9190833333333334 [0.999444,0.873056,0.947917,0.877917,0.9825,0.991528,0.773056,0.922083,1,0.823333] area_under_roc_curve 0.9206111111111112 [0.996667,0.846944,0.974028,0.987917,0.9475,0.910139,0.794028,0.966806,0.949167,0.832917] area_under_roc_curve 0.9318333333333334 [1,0.865,0.971667,0.915417,0.958056,0.945694,0.859444,0.930972,0.99625,0.875833] area_under_roc_curve 0.9418194444444444 [1,0.926944,0.999028,0.940694,0.925,0.936667,0.88375,0.988333,0.999028,0.81875] area_under_roc_curve 0.9394583333333334 [0.999583,0.896806,0.947639,0.911806,0.983056,0.959028,0.882778,0.964583,0.975,0.874306] area_under_roc_curve 0.9022777777777778 [0.974306,0.802778,0.997083,0.924444,0.847222,0.989722,0.75875,0.984028,0.920278,0.824167] area_under_roc_curve 0.9423750000000001 [1,0.845556,0.999444,0.988611,0.928611,0.911111,0.858194,0.988333,0.999444,0.904444] area_under_roc_curve 0.9148055555555555 [1,0.931667,0.970417,0.943333,0.910972,0.943333,0.762639,0.966111,0.965417,0.754167] 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 0.766730695143986 [0.930233,0.714286,0.894737,0.829268,0.780488,0.9,0.47619,0.842105,0.9,0.4] f_measure 0.7215082027811526 [0.923077,0.651163,0.864865,0.790698,0.631579,0.702703,0.428571,0.820513,0.947368,0.454545] f_measure 0.739235398850836 [0.947368,0.681818,0.918919,0.648649,0.808511,0.809524,0.378378,0.833333,0.97561,0.390244] f_measure 0.7873059135864697 [0.95,0.684211,0.95,0.851064,0.727273,0.777778,0.585366,0.9,0.947368,0.5] f_measure 0.7529337154990199 [0.97561,0.590909,0.918919,0.736842,0.742857,0.871795,0.55814,0.772727,0.9,0.461538] f_measure 0.7508913703854229 [1,0.772727,0.926829,0.837209,0.647059,0.780488,0.461538,0.818182,0.952381,0.3125] f_measure 0.772133279959367 [0.974359,0.695652,0.857143,0.75,0.8,0.809524,0.52381,0.85,0.974359,0.486486] f_measure 0.7231541118497641 [0.95,0.648649,0.909091,0.695652,0.611111,0.923077,0.388889,0.75,0.833333,0.521739] f_measure 0.7755068214771289 [0.974359,0.682927,0.974359,0.826087,0.769231,0.810811,0.5,0.878049,0.97561,0.363636] f_measure 0.770511366311034 [1,0.820513,0.904762,0.829268,0.769231,0.864865,0.416667,0.904762,0.842105,0.352941] kappa 0.7444444444444445 kappa 0.6833333333333333 kappa 0.7111111111111111 kappa 0.7666666666666667 kappa 0.7222222222222222 kappa 0.7388888888888889 kappa 0.7444444444444445 kappa 0.6944444444444444 kappa 0.7555555555555555 kappa 0.7444444444444445 kb_relative_information_score 155.74831378782676 kb_relative_information_score 142.77770183801942 kb_relative_information_score 152.53668734233915 kb_relative_information_score 156.28445727889832 kb_relative_information_score 154.79378695385626 kb_relative_information_score 153.355938520209 kb_relative_information_score 156.63226567316866 kb_relative_information_score 148.68162136518177 kb_relative_information_score 159.09828429386366 kb_relative_information_score 151.59321851045652 mean_absolute_error 0.05068464313464312 mean_absolute_error 0.06050335775335776 mean_absolute_error 0.05303380230880227 mean_absolute_error 0.049786890886890894 mean_absolute_error 0.05189574037074035 mean_absolute_error 0.05424195526695528 mean_absolute_error 0.050259229659229666 mean_absolute_error 0.05688465978465977 mean_absolute_error 0.04827716450216448 mean_absolute_error 0.05405732323232319 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 0.7677357425183513 [0.869565,0.681818,0.944444,0.809524,0.761905,0.9,0.454545,0.888889,0.9,0.466667] precision 0.7335606366532467 [0.947368,0.608696,0.941176,0.73913,0.666667,0.764706,0.409091,0.842105,1,0.416667] precision 0.7489911368587839 [1,0.625,1,0.705882,0.703704,0.772727,0.411765,0.9375,0.952381,0.380952] precision 0.79385582010582 [0.95,0.722222,0.95,0.740741,0.666667,0.875,0.571429,0.9,1,0.5625] precision 0.7636985579891757 [0.952381,0.541667,1,0.777778,0.866667,0.894737,0.521739,0.708333,0.9,0.473684] precision 0.7492764767650351 [1,0.708333,0.904762,0.782609,0.785714,0.761905,0.473684,0.75,0.909091,0.416667] precision 0.781752365281777 [1,0.615385,1,0.75,0.8,0.772727,0.5,0.85,1,0.529412] precision 0.7326007184250218 [0.95,0.705882,0.833333,0.615385,0.6875,0.947368,0.4375,0.75,0.9375,0.461538] precision 0.77986581272185 [1,0.666667,1,0.730769,0.789474,0.882353,0.458333,0.857143,0.952381,0.461538] precision 0.7784155129356367 [1,0.842105,0.863636,0.809524,0.789474,0.941176,0.357143,0.863636,0.888889,0.428571] predictive_accuracy 0.77 predictive_accuracy 0.715 predictive_accuracy 0.74 predictive_accuracy 0.79 predictive_accuracy 0.75 predictive_accuracy 0.765 predictive_accuracy 0.77 predictive_accuracy 0.725 predictive_accuracy 0.78 predictive_accuracy 0.77 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 0.715 [0.9,0.7,0.8,0.85,0.6,0.65,0.45,0.8,0.9,0.5] recall 0.74 [0.9,0.75,0.85,0.6,0.95,0.85,0.35,0.75,1,0.4] recall 0.79 [0.95,0.65,0.95,1,0.8,0.7,0.6,0.9,0.9,0.45] recall 0.75 [1,0.65,0.85,0.7,0.65,0.85,0.6,0.85,0.9,0.45] recall 0.765 [1,0.85,0.95,0.9,0.55,0.8,0.45,0.9,1,0.25] recall 0.77 [0.95,0.8,0.75,0.75,0.8,0.85,0.55,0.85,0.95,0.45] recall 0.725 [0.95,0.6,1,0.8,0.55,0.9,0.35,0.75,0.75,0.6] recall 0.78 [0.95,0.7,0.95,0.95,0.75,0.75,0.55,0.9,1,0.3] recall 0.77 [1,0.8,0.95,0.85,0.75,0.8,0.5,0.95,0.8,0.3] relative_absolute_error 0.2815813507480176 relative_absolute_error 0.33612976529643235 relative_absolute_error 0.2946322350489019 relative_absolute_error 0.27659383826050526 relative_absolute_error 0.2883096687263356 relative_absolute_error 0.3013441959275297 relative_absolute_error 0.27921794255127624 relative_absolute_error 0.31602588769255463 relative_absolute_error 0.26820646945646964 relative_absolute_error 0.3003184624017959 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 0.18754207821121555 root_mean_squared_error 0.2163691084422742 root_mean_squared_error 0.1958781617790337 root_mean_squared_error 0.18901346332299082 root_mean_squared_error 0.1909170057483807 root_mean_squared_error 0.1865875208825567 root_mean_squared_error 0.1860265660877668 root_mean_squared_error 0.20591166688489182 root_mean_squared_error 0.17912230578314736 root_mean_squared_error 0.19509789113182335 root_relative_squared_error 0.6251402607040522 root_relative_squared_error 0.7212303614742477 root_relative_squared_error 0.6529272059301127 root_relative_squared_error 0.6300448777433031 root_relative_squared_error 0.6363900191612692 root_relative_squared_error 0.6219584029418561 root_relative_squared_error 0.6200885536258898 root_relative_squared_error 0.6863722229496397 root_relative_squared_error 0.5970743526104916 root_relative_squared_error 0.6503263037727449 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 666.0972439985926 usercpu_time_millis 522.8383300000132 usercpu_time_millis 517.1142660001351 usercpu_time_millis 507.8104150006766 usercpu_time_millis 509.93414300046425 usercpu_time_millis 504.70996999956697 usercpu_time_millis 540.7650999995894 usercpu_time_millis 544.8753280006713 usercpu_time_millis 548.472159000994 usercpu_time_millis 534.2890930005524 usercpu_time_millis_testing 1.6155059993252507 usercpu_time_millis_testing 1.6438090005976846 usercpu_time_millis_testing 1.667823999923712 usercpu_time_millis_testing 1.630877000025066 usercpu_time_millis_testing 1.650707000408147 usercpu_time_millis_testing 1.6001280000637053 usercpu_time_millis_testing 1.6532649997316184 usercpu_time_millis_testing 1.7638300005273777 usercpu_time_millis_testing 1.695519000350032 usercpu_time_millis_testing 1.6716910004106467 usercpu_time_millis_training 664.4817379992674 usercpu_time_millis_training 521.1945209994155 usercpu_time_millis_training 515.4464420002114 usercpu_time_millis_training 506.1795380006515 usercpu_time_millis_training 508.2834360000561 usercpu_time_millis_training 503.10984199950326 usercpu_time_millis_training 539.1118349998578 usercpu_time_millis_training 543.1114980001439 usercpu_time_millis_training 546.776640000644 usercpu_time_millis_training 532.6174020001417