10160695 287 Hugo Spee 9 Supervised Classification predictive_accuracy 8876 sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1) 8086196 class_weight null 8847 criterion "gini" 8847 max_depth null 8847 max_features null 8847 max_leaf_nodes null 8847 min_impurity_decrease 0.0 8847 min_impurity_split null 8847 min_samples_leaf 1 8847 min_samples_split 2 8847 min_weight_fraction_leaf 0.0 8847 presort false 8847 random_state 27922 8847 splitter "best" 8847 memory null 8876 copy true 8877 fill_value null 8877 missing_values NaN 8877 strategy "mean" 8877 verbose 0 8877 auto-jupyter-notebook openml-python Sklearn_0.20.1. 9 autos https://www.openml.org/data/download/9/dataset_9_autos.arff -1 21242190 description https://api.openml.org/data/download/21242190/description.xml -1 21242189 predictions https://api.openml.org/data/download/21242189/predictions.arff area_under_roc_curve 0.8719885516024418 [0.0,1,0.920889,0.851395,0.857739,0.848988,0.924782] average_cost 0 f_measure 0.8003805690504089 [0.0,1,0.844444,0.813008,0.778761,0.738462,0.827586] kappa 0.7428011873068332 kb_relative_information_score 156.1598284453251 mean_absolute_error 0.057142857142857176 mean_prior_absolute_error 0.22091907172440978 number_of_instances 205 [0,3,22,67,54,32,27] precision 0.8070364933403107 [0.0,1,0.826087,0.892857,0.745763,0.727273,0.774194] predictive_accuracy 0.8 prior_entropy 2.326811368739461 recall 0.8 [0.0,1,0.863636,0.746269,0.814815,0.75,0.888889] relative_absolute_error 0.2586596833710276 root_mean_prior_squared_error 0.33175843320586096 root_mean_squared_error 0.2390457218668788 root_relative_squared_error 0.7205415083406408 total_cost 0 area_under_roc_curve 0.8531746031746033 [0.0,0.0,0.805556,0.75,0.9,0.944444,0.972222] area_under_roc_curve 0.7833333333333333 [0.0,0.0,0.75,0.785714,0.7,0.777778,0.972222] area_under_roc_curve 0.9116541353383457 [0.0,1,0.973684,0.964286,0.833333,0.833333,0.973684] area_under_roc_curve 0.8514619883040935 [0.0,1,0.973684,0.857143,0.933333,0.777778,0.5] area_under_roc_curve 0.8713032581453634 [0.0,1,1,0.892857,0.766667,1,0.723684] area_under_roc_curve 0.8467320261437908 [0.0,0.0,0.972222,0.785714,0.833333,0.77451,1] area_under_roc_curve 0.834841628959276 [0.0,0.0,1,0.78022,0.8,0.803922,0.941176] area_under_roc_curve 0.9666666666666666 [0.0,0.0,0.75,1,0.966667,1,1] area_under_roc_curve 0.903921568627451 [0.0,0.0,1,0.916667,0.933333,0.75,0.970588] area_under_roc_curve 0.8976190476190476 [0.0,0.0,1,0.797619,0.933333,0.833333,1] 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 0.7586923658352229 [0.0,0.0,0.666667,0.666667,0.888889,0.75,0.857143] f_measure 0.6732632446918162 [0.0,0.0,0.666667,0.727273,0.571429,0.571429,0.857143] f_measure 0.8539682539682542 [0.0,1,0.8,0.933333,0.8,0.8,0.8] f_measure 0.8095238095238095 [0.0,1,1,0.857143,0.666667,1,0.5] f_measure 0.7520779220779221 [0.0,0.0,0.8,0.727273,0.727273,0.571429,1] f_measure 0.75 [0.0,0.0,1,0.714286,0.75,0.666667,0.75] f_measure 0.943939393939394 [0.0,0.0,0.666667,1,0.909091,1,1] f_measure 0.8429653679653679 [0.0,0.0,1,0.909091,0.833333,0.666667,0.857143] f_measure 0.8465151515151514 [0.0,0.0,1,0.727273,0.833333,0.8,1] kappa 0.7 kappa 0.5663716814159291 kappa 0.8157894736842105 kappa 0.6902654867256637 kappa 0.7514792899408285 kappa 0.6825396825396826 kappa 0.6753246753246753 kappa 0.9348534201954397 kappa 0.8070739549839228 kappa 0.8070739549839228 kb_relative_information_score 15.169300956825786 kb_relative_information_score 12.347718896120043 kb_relative_information_score 17.837098405696164 kb_relative_information_score 15.307012219698152 kb_relative_information_score 16.807472146718524 kb_relative_information_score 13.982288971553498 kb_relative_information_score 13.904325032270085 kb_relative_information_score 18.097741981715775 kb_relative_information_score 16.084824808661825 kb_relative_information_score 16.62204502606543 mean_absolute_error 0.06802721088435373 mean_absolute_error 0.09523809523809522 mean_absolute_error 0.04081632653061224 mean_absolute_error 0.06802721088435373 mean_absolute_error 0.05442176870748299 mean_absolute_error 0.07142857142857142 mean_absolute_error 0.07142857142857142 mean_absolute_error 0.014285714285714285 mean_absolute_error 0.04285714285714286 mean_absolute_error 0.04285714285714286 mean_prior_absolute_error 0.22134514183031703 mean_prior_absolute_error 0.21929149018097804 mean_prior_absolute_error 0.22083172891798225 mean_prior_absolute_error 0.22083172891798225 mean_prior_absolute_error 0.22083172891798225 mean_prior_absolute_error 0.2196765498652291 mean_prior_absolute_error 0.2196765498652291 mean_prior_absolute_error 0.22203504043126684 mean_prior_absolute_error 0.22203504043126684 mean_prior_absolute_error 0.2227088948787062 number_of_instances 21 [0,0,3,7,5,3,3] number_of_instances 21 [0,0,2,7,6,3,3] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,6,5,4,3] number_of_instances 20 [0,0,2,6,5,4,3] number_of_instances 20 [0,0,3,6,5,3,3] precision 0.7928571428571429 [0.0,0.0,0.666667,0.8,1,0.6,0.75] precision 0.75 [0.0,0.0,1,1,0.5,0.5,0.75] precision 0.8948412698412698 [0.0,1,0.666667,0.875,1,1,0.666667] precision 0.8095238095238095 [0.0,1,1,0.857143,0.666667,1,0.5] precision 0.8083333333333333 [0.0,0.0,0.666667,1,0.666667,0.5,1] precision 0.79 [0.0,0.0,1,0.714286,1,0.666667,0.6] precision 0.9583333333333334 [0.0,0.0,1,1,0.833333,1,1] precision 0.8910714285714285 [0.0,0.0,1,1,0.714286,1,0.75] precision 0.8685714285714287 [0.0,0.0,1,0.8,0.714286,1,1] predictive_accuracy 0.7619047619047619 predictive_accuracy 0.6666666666666667 predictive_accuracy 0.8571428571428571 predictive_accuracy 0.7619047619047619 predictive_accuracy 0.8095238095238095 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.95 predictive_accuracy 0.85 predictive_accuracy 0.85 prior_entropy 2.326811368739461 prior_entropy 2.326811368739461 prior_entropy 2.326811368739461 prior_entropy 2.326811368739461 prior_entropy 2.326811368739461 prior_entropy 2.326811368739461 prior_entropy 2.326811368739461 prior_entropy 2.326811368739461 prior_entropy 2.326811368739461 prior_entropy 2.326811368739461 recall 0.7619047619047619 [0.0,0.0,0.666667,0.571429,0.8,1,1] recall 0.6666666666666666 [0.0,0.0,0.5,0.571429,0.666667,0.666667,1] recall 0.8571428571428571 [0.0,1,1,1,0.666667,0.666667,1] recall 0.7619047619047619 [0.0,1,1,0.714286,1,0.666667,0] recall 0.8095238095238095 [0.0,1,1,0.857143,0.666667,1,0.5] recall 0.75 [0.0,0.0,1,0.571429,0.8,0.666667,1] recall 0.75 [0.0,0.0,1,0.714286,0.6,0.666667,1] recall 0.95 [0.0,0.0,0.5,1,1,1,1] recall 0.85 [0.0,0.0,1,0.833333,1,0.5,1] recall 0.85 [0.0,0.0,1,0.666667,1,0.666667,1] relative_absolute_error 0.30733545955349373 relative_absolute_error 0.43429909277143686 relative_absolute_error 0.1848299912816042 relative_absolute_error 0.3080499854693403 relative_absolute_error 0.2464399883754723 relative_absolute_error 0.3251533742331288 relative_absolute_error 0.3251533742331288 relative_absolute_error 0.06433990895295903 relative_absolute_error 0.19301972685887708 relative_absolute_error 0.1924357034795764 root_mean_prior_squared_error 0.33239995202935096 root_mean_prior_squared_error 0.3292963353269754 root_mean_prior_squared_error 0.3316267709289768 root_mean_prior_squared_error 0.3316267709289768 root_mean_prior_squared_error 0.3316267709289768 root_mean_prior_squared_error 0.3298804876679233 root_mean_prior_squared_error 0.3298804876679233 root_mean_prior_squared_error 0.33343609089308945 root_mean_prior_squared_error 0.33343609089308945 root_mean_prior_squared_error 0.33444503458341845 root_mean_squared_error 0.2608202654786505 root_mean_squared_error 0.30860669992418377 root_mean_squared_error 0.20203050891044214 root_mean_squared_error 0.2608202654786505 root_mean_squared_error 0.23328473740792172 root_mean_squared_error 0.2672612419124244 root_mean_squared_error 0.2672612419124244 root_mean_squared_error 0.11952286093343936 root_mean_squared_error 0.20701966780270625 root_mean_squared_error 0.20701966780270625 root_relative_squared_error 0.7846579516221471 root_relative_squared_error 0.9371701619993803 root_relative_squared_error 0.6092104939070502 root_relative_squared_error 0.7864873657456001 root_relative_squared_error 0.7034556853007606 root_relative_squared_error 0.8101759634278975 root_relative_squared_error 0.8101759634278975 root_relative_squared_error 0.3584580799676011 root_relative_squared_error 0.6208676068874726 root_relative_squared_error 0.6189945922222106 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 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 0