10067700 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) 7992559 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 8 8783 min_samples_split 10 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 29051 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 21055935 description https://api.openml.org/data/download/21055935/description.xml -1 21055936 predictions https://api.openml.org/data/download/21055936/predictions.arff area_under_roc_curve 0.9160069444444444 [0.993694,0.871439,0.947869,0.926596,0.876194,0.936193,0.842319,0.957343,0.977285,0.831136] average_cost 0 f_measure 0.7558514339077875 [0.975369,0.668281,0.866995,0.794118,0.676923,0.811083,0.553488,0.795,0.935065,0.482192] kappa 0.7294444444444445 kb_relative_information_score 1499.6414083956258 mean_absolute_error 0.056911773781774116 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7572960794380467 [0.961165,0.647887,0.854369,0.778846,0.694737,0.817259,0.517391,0.795,0.972973,0.533333] predictive_accuracy 0.7565000000000001 prior_entropy 3.321928094887362 recall 0.7565 [0.99,0.69,0.88,0.81,0.66,0.805,0.595,0.795,0.9,0.44] relative_absolute_error 0.31617652100984645 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.19704736518879712 root_relative_squared_error 0.6568245506293137 total_cost 0 area_under_roc_curve 0.9283055555555555 [0.996667,0.924583,0.937222,0.96875,0.871111,0.973472,0.855417,0.904722,0.999583,0.851528] area_under_roc_curve 0.9155833333333332 [0.972083,0.893611,0.889722,0.942639,0.878056,0.956528,0.864444,0.937361,0.971667,0.849722] area_under_roc_curve 0.8879305555555554 [1,0.837361,0.943472,0.819167,0.890833,0.938056,0.717778,0.912778,0.999861,0.82] area_under_roc_curve 0.9367361111111111 [1,0.870278,0.972361,0.987917,0.898194,0.892778,0.937639,0.991667,0.974167,0.842361] area_under_roc_curve 0.9010277777777779 [0.996944,0.762639,0.969583,0.934167,0.871389,0.879722,0.821944,0.945972,0.972917,0.855] area_under_roc_curve 0.9399722222222223 [1,0.908611,0.996667,0.947639,0.950139,0.965,0.876806,0.962361,0.998333,0.794167] area_under_roc_curve 0.9172777777777779 [0.999861,0.9575,0.870833,0.910278,0.869861,0.903333,0.915833,0.960694,0.973472,0.811111] area_under_roc_curve 0.9252916666666667 [0.974583,0.898472,0.966806,0.91125,0.829861,0.992083,0.827639,0.989444,0.989861,0.872917] area_under_roc_curve 0.9180694444444444 [1,0.800417,0.996389,0.956389,0.869167,0.913889,0.832639,0.98625,1,0.825556] area_under_roc_curve 0.8922361111111111 [0.996667,0.865833,0.942222,0.889028,0.838611,0.945417,0.779028,0.989861,0.888889,0.786806] 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 0.7483567561022632 [0.97561,0.653846,0.809524,0.829268,0.685714,0.894737,0.583333,0.666667,0.947368,0.4375] f_measure 0.7289330333119329 [0.926829,0.611111,0.761905,0.85,0.666667,0.744186,0.5,0.75,0.923077,0.555556] f_measure 0.7002501644993445 [1,0.55814,0.918919,0.666667,0.652174,0.780488,0.444444,0.606061,0.97561,0.4] f_measure 0.8104367114175105 [1,0.680851,0.863636,0.878049,0.780488,0.888889,0.666667,0.8,0.974359,0.571429] f_measure 0.7458431972640709 [0.97561,0.628571,0.923077,0.790698,0.666667,0.7,0.52381,0.8,0.95,0.5] f_measure 0.7811326553290011 [0.97561,0.736842,0.930233,0.731707,0.731707,0.878049,0.585366,0.85,0.947368,0.444444] f_measure 0.7756423290910479 [0.97561,0.782609,0.857143,0.761905,0.702703,0.682927,0.697674,0.863636,0.947368,0.484848] f_measure 0.7386944927188829 [0.974359,0.681818,0.871795,0.772727,0.594595,0.820513,0.487805,0.85,0.857143,0.47619] f_measure 0.7820909281965865 [1,0.705882,0.952381,0.857143,0.628571,0.842105,0.526316,0.808511,1,0.5] f_measure 0.7385372890090574 [0.952381,0.631579,0.790698,0.8,0.65,0.9,0.521739,0.883721,0.810811,0.444444] kappa 0.7222222222222222 kappa 0.7 kappa 0.6666666666666666 kappa 0.788888888888889 kappa 0.7222222222222222 kappa 0.7611111111111112 kappa 0.7555555555555555 kappa 0.7055555555555556 kappa 0.7611111111111112 kappa 0.7111111111111111 kb_relative_information_score 152.9512704642588 kb_relative_information_score 148.58275505033728 kb_relative_information_score 140.93683925089303 kb_relative_information_score 157.60303224839947 kb_relative_information_score 146.34494266066454 kb_relative_information_score 154.8469276253104 kb_relative_information_score 153.707884993609 kb_relative_information_score 149.3008150977355 kb_relative_information_score 152.4044937754584 kb_relative_information_score 142.9624472289801 mean_absolute_error 0.052497913197913186 mean_absolute_error 0.058423737373737364 mean_absolute_error 0.06488055555555554 mean_absolute_error 0.05204110611610611 mean_absolute_error 0.05984911477411475 mean_absolute_error 0.053416466866466845 mean_absolute_error 0.05298417970917968 mean_absolute_error 0.05732688700188701 mean_absolute_error 0.054290842490842504 mean_absolute_error 0.0634069347319347 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 0.7739813658563658 [0.952381,0.53125,0.772727,0.809524,0.8,0.944444,0.5,0.846154,1,0.583333] precision 0.733009908664943 [0.904762,0.6875,0.727273,0.85,0.684211,0.695652,0.458333,0.75,0.947368,0.625] precision 0.7133055883856799 [1,0.521739,1,0.684211,0.576923,0.761905,0.4,0.769231,0.952381,0.466667] precision 0.8239670514670514 [1,0.592593,0.791667,0.857143,0.761905,1,0.636364,0.933333,1,0.666667] precision 0.7488923667865315 [0.952381,0.733333,0.947368,0.73913,0.684211,0.7,0.5,0.72,0.95,0.5625] precision 0.7806866804692892 [0.952381,0.777778,0.869565,0.714286,0.714286,0.857143,0.571429,0.85,1,0.5] precision 0.7862559116075741 [0.952381,0.692308,1,0.727273,0.764706,0.666667,0.652174,0.791667,1,0.615385] precision 0.7497970192861833 [1,0.625,0.894737,0.708333,0.647059,0.842105,0.47619,0.85,1,0.454545] precision 0.7924230399230399 [1,0.857143,0.909091,0.818182,0.733333,0.888889,0.555556,0.703704,1,0.458333] precision 0.7468199703110189 [0.909091,0.666667,0.73913,0.933333,0.65,0.9,0.461538,0.826087,0.882353,0.5] predictive_accuracy 0.75 predictive_accuracy 0.73 predictive_accuracy 0.7 predictive_accuracy 0.81 predictive_accuracy 0.75 predictive_accuracy 0.785 predictive_accuracy 0.78 predictive_accuracy 0.735 predictive_accuracy 0.785 predictive_accuracy 0.74 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 0.75 [1,0.85,0.85,0.85,0.6,0.85,0.7,0.55,0.9,0.35] recall 0.73 [0.95,0.55,0.8,0.85,0.65,0.8,0.55,0.75,0.9,0.5] recall 0.7 [1,0.6,0.85,0.65,0.75,0.8,0.5,0.5,1,0.35] recall 0.81 [1,0.8,0.95,0.9,0.8,0.8,0.7,0.7,0.95,0.5] recall 0.75 [1,0.55,0.9,0.85,0.65,0.7,0.55,0.9,0.95,0.45] recall 0.785 [1,0.7,1,0.75,0.75,0.9,0.6,0.85,0.9,0.4] recall 0.78 [1,0.9,0.75,0.8,0.65,0.7,0.75,0.95,0.9,0.4] recall 0.735 [0.95,0.75,0.85,0.85,0.55,0.8,0.5,0.85,0.75,0.5] recall 0.785 [1,0.6,1,0.9,0.55,0.8,0.5,0.95,1,0.55] recall 0.74 [1,0.6,0.85,0.7,0.65,0.9,0.6,0.95,0.75,0.4] relative_absolute_error 0.2916550733217403 relative_absolute_error 0.3245763187429857 relative_absolute_error 0.36044753086419784 relative_absolute_error 0.28911725620058987 relative_absolute_error 0.33249508207841566 relative_absolute_error 0.2967581492581495 relative_absolute_error 0.2943565539398874 relative_absolute_error 0.3184827055660393 relative_absolute_error 0.30161579161579205 relative_absolute_error 0.3522607485107487 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 0.19307048359879583 root_mean_squared_error 0.20085450423446294 root_mean_squared_error 0.21715745416517493 root_mean_squared_error 0.1750858144258954 root_mean_squared_error 0.20901920387112138 root_mean_squared_error 0.1845628151232188 root_mean_squared_error 0.19139822436033258 root_mean_squared_error 0.19623000237739813 root_mean_squared_error 0.19022417982101963 root_mean_squared_error 0.2092087532452247 root_relative_squared_error 0.6435682786626532 root_relative_squared_error 0.6695150141148768 root_relative_squared_error 0.7238581805505835 root_relative_squared_error 0.5836193814196518 root_relative_squared_error 0.696730679570405 root_relative_squared_error 0.615209383744063 root_relative_squared_error 0.6379940812011089 root_relative_squared_error 0.6541000079246608 root_relative_squared_error 0.6340805994033992 root_relative_squared_error 0.6973625108174162 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 179.6472209989588 usercpu_time_millis 161.8194359989502 usercpu_time_millis 165.49497000050906 usercpu_time_millis 156.96247300002142 usercpu_time_millis 124.48442299955786 usercpu_time_millis 128.68583900126396 usercpu_time_millis 124.99390299944935 usercpu_time_millis 127.18985499941482 usercpu_time_millis 126.80783199994039 usercpu_time_millis 125.47935400016286 usercpu_time_millis_testing 1.7733999993652105 usercpu_time_millis_testing 1.7507869997643866 usercpu_time_millis_testing 1.7596640000192565 usercpu_time_millis_testing 1.3978879997011973 usercpu_time_millis_testing 1.3600799993582768 usercpu_time_millis_testing 1.3808500007144175 usercpu_time_millis_testing 1.409810000041034 usercpu_time_millis_testing 1.3691389995074132 usercpu_time_millis_testing 1.3675760001206072 usercpu_time_millis_testing 1.3712119998672279 usercpu_time_millis_training 177.8738209995936 usercpu_time_millis_training 160.06864899918583 usercpu_time_millis_training 163.7353060004898 usercpu_time_millis_training 155.56458500032022 usercpu_time_millis_training 123.12434300019959 usercpu_time_millis_training 127.30498900054954 usercpu_time_millis_training 123.58409299940831 usercpu_time_millis_training 125.8207159999074 usercpu_time_millis_training 125.44025599981978 usercpu_time_millis_training 124.10814200029563