10559798 869 Pieter Gijsbers 10101 Supervised Classification 18758 sklearn.tree._classes.DecisionTreeClassifier(15) 8276285 ccp_alpha 0.0 18758 class_weight null 18758 criterion "gini" 18758 max_depth 2 18758 max_features null 18758 max_leaf_nodes null 18758 min_impurity_decrease 0.0 18758 min_impurity_split null 18758 min_samples_leaf 1 18758 min_samples_split 2 18758 min_weight_fraction_leaf 0.0 18758 presort "deprecated" 18758 random_state 0 18758 splitter "best" 18758 openml-python Sklearn_0.23.1. 1464 blood-transfusion-service-center https://www.openml.org/data/download/1586225/php0iVrYT -1 22045149 description https://api.openml.org/data/download/22045149/description.xml -1 22045150 predictions https://api.openml.org/data/download/22045150/predictions.arff area_under_roc_curve 0.7109402720283856 [0.71094,0.71094] average_cost 0 kappa 0 kb_relative_information_score 0.0899764708297634 mean_absolute_error 0.314487012224216 mean_prior_absolute_error 0.3630445632798566 weighted_recall 0.7620320855614974 [1,0] number_of_instances 748 [570,178] predictive_accuracy 0.7620320855614974 prior_entropy 0.7916465694609683 relative_absolute_error 0.8662490615009993 root_mean_prior_squared_error 0.4258399633559147 root_mean_squared_error 0.3975767692495536 root_relative_squared_error 0.9336295403474408 total_cost 0 unweighted_recall 0.5 [1,0] area_under_roc_curve 0.7173489278752436 [0.717349,0.717349] area_under_roc_curve 0.8148148148148148 [0.814815,0.814815] area_under_roc_curve 0.732943469785575 [0.732943,0.732943] area_under_roc_curve 0.6676413255360624 [0.667641,0.667641] area_under_roc_curve 0.7402534113060428 [0.740253,0.740253] area_under_roc_curve 0.6895711500974658 [0.689571,0.689571] area_under_roc_curve 0.6983430799220274 [0.698343,0.698343] area_under_roc_curve 0.7110136452241715 [0.711014,0.711014] area_under_roc_curve 0.7244582043343654 [0.724458,0.724458] area_under_roc_curve 0.7657378740970072 [0.765738,0.765738] 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 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kb_relative_information_score 0.07928292283018848 kb_relative_information_score 0.16810471273591077 kb_relative_information_score 0.12475346436290692 kb_relative_information_score 0.03203869482575265 kb_relative_information_score 0.11250790011122219 kb_relative_information_score 0.07303247205312956 kb_relative_information_score 0.059081102854182325 kb_relative_information_score 0.04815403926648583 kb_relative_information_score 0.09570621353511073 kb_relative_information_score 0.10792391874073562 mean_absolute_error 0.3182317102119961 mean_absolute_error 0.29827357505617197 mean_absolute_error 0.3112208980707552 mean_absolute_error 0.32786931713652023 mean_absolute_error 0.30876246788441947 mean_absolute_error 0.3179041966111638 mean_absolute_error 0.3219855977165521 mean_absolute_error 0.3281742634683815 mean_absolute_error 0.3071115424056603 mean_absolute_error 0.3051132303242927 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.35873873873873896 mean_prior_absolute_error 0.35873873873873896 number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 74 [57,17] number_of_instances 74 [57,17] predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.7702702702702703 predictive_accuracy 0.7702702702702703 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7778597106646706 prior_entropy 0.7778597106646706 relative_absolute_error 0.8740068209279221 relative_absolute_error 0.8191928419954917 relative_absolute_error 0.8547519904535897 relative_absolute_error 0.9004760064903694 relative_absolute_error 0.8480000399637998 relative_absolute_error 0.8731073218777381 relative_absolute_error 0.8843166774843049 relative_absolute_error 0.901313525711462 relative_absolute_error 0.8560869213216543 relative_absolute_error 0.8505165385734925 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4207539065176338 root_mean_prior_squared_error 0.4207539065176338 root_mean_squared_error 0.4051739266294777 root_mean_squared_error 0.37629167430451493 root_mean_squared_error 0.3956083101582898 root_mean_squared_error 0.41490604738805975 root_mean_squared_error 0.3914589061282986 root_mean_squared_error 0.41016452316589047 root_mean_squared_error 0.4049951361542299 root_mean_squared_error 0.4002279152690335 root_mean_squared_error 0.38937102264059326 root_mean_squared_error 0.38569435042665606 root_relative_squared_error 0.9486957539976385 root_relative_squared_error 0.8810693142251758 root_relative_squared_error 0.9262983114818357 root_relative_squared_error 0.971483058496386 root_relative_squared_error 0.9165826764763453 root_relative_squared_error 0.9603810018204574 root_relative_squared_error 0.9482771244818308 root_relative_squared_error 0.9371149002741251 root_relative_squared_error 0.925412733213149 root_relative_squared_error 0.9166744371284681 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 unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 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wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_training 0 wall_clock_time_millis_training 0 wall_clock_time_millis_training 0 wall_clock_time_millis_training 0 wall_clock_time_millis_training 5.045413970947266 wall_clock_time_millis_training 0 wall_clock_time_millis_training 0 wall_clock_time_millis_training 0 wall_clock_time_millis_training 0 wall_clock_time_millis_training 0 weighted_recall 0.76 [1,0] weighted_recall 0.76 [1,0] weighted_recall 0.76 [1,0] weighted_recall 0.76 [1,0] weighted_recall 0.76 [1,0] weighted_recall 0.76 [1,0] weighted_recall 0.76 [1,0] weighted_recall 0.76 [1,0] weighted_recall 0.7702702702702703 [1,0] weighted_recall 0.7702702702702703 [1,0]