10160738 287 Hugo Spee 9 Supervised Classification predictive_accuracy 8876 sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1) 8086228 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 23406 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 21242276 description https://api.openml.org/data/download/21242276/description.xml -1 21242275 predictions https://api.openml.org/data/download/21242275/predictions.arff area_under_roc_curve 0.8837395846305097 [0.0,1,0.920889,0.862697,0.864361,0.876174,0.940491] average_cost 0 f_measure 0.8194957439174592 [0.0,1,0.844444,0.825397,0.792793,0.806452,0.833333] kappa 0.7675309550079685 kb_relative_information_score 160.65072156918148 mean_absolute_error 0.0515679442508711 mean_prior_absolute_error 0.22091907172440978 number_of_instances 205 [0,3,22,67,54,32,27] precision 0.8245374787738209 [0.0,1,0.826087,0.881356,0.77193,0.833333,0.757576] predictive_accuracy 0.8195121951219513 prior_entropy 2.326811368739461 recall 0.8195121951219512 [0.0,1,0.863636,0.776119,0.814815,0.78125,0.925926] relative_absolute_error 0.23342459231043955 root_mean_prior_squared_error 0.33175843320586096 root_mean_squared_error 0.22708576408676767 root_relative_squared_error 0.6844913086078437 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 0.8365079365079365 [0.0,0.0,0.75,0.75,0.816667,1,0.972222] area_under_roc_curve 0.9210526315789473 [0.0,1,0.973684,1,0.833333,0.833333,0.947368] area_under_roc_curve 0.8403508771929825 [0.0,1,0.973684,0.857143,0.866667,0.833333,0.5] area_under_roc_curve 0.9046365914786967 [0.0,1,1,0.892857,0.8,1,0.973684] area_under_roc_curve 0.8761437908496731 [0.0,0.0,0.972222,0.857143,0.833333,0.803922,1] 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 0.9060049019607842 [0.0,0.0,1,0.916667,0.966667,0.71875,0.970588] area_under_roc_curve 0.8952380952380953 [0.0,0.0,1,0.845238,0.866667,0.833333,1] 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 0.7551020408163265 [0.0,0.0,0.666667,0.666667,0.714286,1,0.857143] f_measure 0.8634920634920634 [0.0,1,0.8,1,0.8,0.8,0.666667] f_measure 0.8554112554112555 [0.0,1,1,0.857143,0.727273,1,0.8] f_measure 0.8034848484848485 [0.0,0.0,0.8,0.833333,0.727273,0.666667,1] 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 0.8428571428571429 [0.0,0.0,1,0.909091,0.909091,0.571429,0.857143] f_measure 0.8507692307692309 [0.0,0.0,1,0.769231,0.8,0.8,1] kappa 0.7 kappa 0.6865671641791045 kappa 0.818443804034582 kappa 0.6846846846846846 kappa 0.8157894736842105 kappa 0.7427652733118971 kappa 0.6753246753246753 kappa 0.9348534201954397 kappa 0.8076923076923077 kappa 0.8058252427184466 kb_relative_information_score 15.169300956825786 kb_relative_information_score 14.628733820887712 kb_relative_information_score 17.837098405696164 kb_relative_information_score 15.307012219698152 kb_relative_information_score 18.150479179000946 kb_relative_information_score 14.927124077643231 kb_relative_information_score 13.904325032270085 kb_relative_information_score 18.097741981715775 kb_relative_information_score 16.084824808661825 kb_relative_information_score 16.54408108678201 mean_absolute_error 0.06802721088435373 mean_absolute_error 0.06802721088435373 mean_absolute_error 0.04081632653061224 mean_absolute_error 0.06802721088435373 mean_absolute_error 0.04081632653061224 mean_absolute_error 0.05714285714285714 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 0.7904761904761906 [0.0,0.0,1,0.8,0.625,1,0.75] precision 0.9206349206349206 [0.0,1,0.666667,1,1,1,0.5] precision 0.8634920634920634 [0.0,1,1,0.857143,0.8,1,0.666667] precision 0.8333333333333334 [0.0,0.0,0.666667,1,0.666667,0.666667,1] 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 0.8541666666666667 [0.0,0.0,1,1,0.833333,0.666667,0.75] precision 0.8642857142857142 [0.0,0.0,1,0.714286,0.8,1,1] predictive_accuracy 0.7619047619047619 predictive_accuracy 0.7619047619047619 predictive_accuracy 0.8571428571428571 predictive_accuracy 0.7619047619047619 predictive_accuracy 0.8571428571428571 predictive_accuracy 0.8 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 0.7619047619047619 [0.0,0.0,0.5,0.571429,0.833333,1,1] 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 0.8571428571428571 [0.0,1,1,0.857143,0.666667,1,1] recall 0.8 [0.0,0.0,1,0.714286,0.8,0.666667,1] 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 [0.0,0.0,1,0.833333,0.8,0.666667,1] relative_absolute_error 0.30733545955349373 relative_absolute_error 0.3102136376938835 relative_absolute_error 0.1848299912816042 relative_absolute_error 0.3080499854693403 relative_absolute_error 0.1848299912816042 relative_absolute_error 0.26012269938650306 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 0.2608202654786505 root_mean_squared_error 0.20203050891044214 root_mean_squared_error 0.2608202654786505 root_mean_squared_error 0.20203050891044214 root_mean_squared_error 0.23904572186687872 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 0.7920533498183895 root_relative_squared_error 0.6092104939070502 root_relative_squared_error 0.7864873657456001 root_relative_squared_error 0.6092104939070502 root_relative_squared_error 0.7246434111844648 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 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 0 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 15.625 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 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0