10417333 10405 Vasos Arnaoutis 31 Supervised Classification 17346 sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(5) 8254406 class_weight null 17334 criterion "gini" 17334 max_depth null 17334 max_features null 17334 max_leaf_nodes null 17334 min_impurity_decrease 0.0 17334 min_impurity_split null 17334 min_samples_leaf 1 17334 min_samples_split 2 17334 min_weight_fraction_leaf 0.0 17334 presort false 17334 random_state 6889 17334 splitter "best" 17334 add_indicator false 17338 copy true 17338 fill_value null 17338 missing_values NaN 17338 strategy "mean" 17338 verbose 0 17338 memory null 17346 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}] 17346 verbose false 17346 openml-python Sklearn_0.21.3. 31 credit-g https://www.openml.org/data/download/31/dataset_31_credit-g.arff -1 21756787 description https://api.openml.org/data/download/21756787/description.xml -1 21756788 predictions https://api.openml.org/data/download/21756788/predictions.arff area_under_roc_curve 0.6535714285714286 [0.653571,0.653571] average_cost 0 f_measure 0.6994952554007672 [0.776557,0.519685] kappa 0.29723502304147464 kb_relative_information_score 0.22115980825728893 mean_absolute_error 0.305 mean_prior_absolute_error 0.42015968063872167 number_of_instances 1000 [700,300] precision 0.7056559308719559 [0.796992,0.492537] predictive_accuracy 0.695 prior_entropy 0.8812914463598482 recall 0.695 [0.757143,0.55] relative_absolute_error 0.7259144893111654 root_mean_prior_squared_error 0.45825774337365466 root_mean_squared_error 0.552268050859363 root_relative_squared_error 1.2051472317600407 total_cost 0 area_under_roc_curve 0.7071428571428572 [0.707143,0.707143] area_under_roc_curve 0.6976190476190476 [0.697619,0.697619] area_under_roc_curve 0.6357142857142857 [0.635714,0.635714] area_under_roc_curve 0.6738095238095237 [0.67381,0.67381] area_under_roc_curve 0.611904761904762 [0.611905,0.611905] area_under_roc_curve 0.669047619047619 [0.669048,0.669048] area_under_roc_curve 0.680952380952381 [0.680952,0.680952] area_under_roc_curve 0.6952380952380952 [0.695238,0.695238] area_under_roc_curve 0.5642857142857143 [0.564286,0.564286] area_under_roc_curve 0.6 [0.6,0.6] 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 0.720100447647123 [0.775194,0.591549] f_measure 0.7487678807548985 [0.822695,0.576271] f_measure 0.6914258756928884 [0.776978,0.491803] f_measure 0.7286693112152903 [0.808511,0.542373] f_measure 0.6715178676730748 [0.76259,0.459016] f_measure 0.7137295794230102 [0.788321,0.539683] f_measure 0.7085561497326203 [0.772727,0.558824] f_measure 0.7264586160108547 [0.791045,0.575758] f_measure 0.6317018516334474 [0.733813,0.393443] f_measure 0.648303934871099 [0.731343,0.454545] kappa 0.3749999999999999 kappa 0.39903846153846156 kappa 0.2688679245283018 kappa 0.3509615384615385 kappa 0.22169811320754734 kappa 0.3287037037037037 kappa 0.3362831858407078 kappa 0.36936936936936926 kappa 0.12735849056603785 kappa 0.18918918918918912 kb_relative_information_score 0.25946342424463287 kb_relative_information_score 0.3616064002108901 kb_relative_information_score 0.20839193626150415 kb_relative_information_score 0.31053491222776136 kb_relative_information_score 0.15732044827837555 kb_relative_information_score 0.2594634242446328 kb_relative_information_score 0.23392768025306845 kb_relative_information_score 0.28499916823619714 kb_relative_information_score 0.05517747231211802 kb_relative_information_score 0.08071321630368222 mean_absolute_error 0.29 mean_absolute_error 0.25 mean_absolute_error 0.31 mean_absolute_error 0.27 mean_absolute_error 0.33 mean_absolute_error 0.29 mean_absolute_error 0.3 mean_absolute_error 0.28 mean_absolute_error 0.37 mean_absolute_error 0.36 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] precision 0.7468788755684167 [0.847458,0.512195] precision 0.7476930548810102 [0.816901,0.586207] precision 0.6929873772791023 [0.782609,0.483871] precision 0.7274890723652259 [0.802817,0.551724] precision 0.6731650303880318 [0.768116,0.451613] precision 0.7187245590230665 [0.80597,0.515152] precision 0.7258064516129034 [0.822581,0.5] precision 0.7380208333333332 [0.828125,0.527778] precision 0.6335203366058906 [0.73913,0.387097] precision 0.6609375 [0.765625,0.416667] predictive_accuracy 0.71 predictive_accuracy 0.75 predictive_accuracy 0.69 predictive_accuracy 0.73 predictive_accuracy 0.67 predictive_accuracy 0.71 predictive_accuracy 0.7 predictive_accuracy 0.72 predictive_accuracy 0.63 predictive_accuracy 0.64 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 recall 0.71 [0.714286,0.7] recall 0.75 [0.828571,0.566667] recall 0.69 [0.771429,0.5] recall 0.73 [0.814286,0.533333] recall 0.67 [0.757143,0.466667] recall 0.71 [0.771429,0.566667] recall 0.7 [0.728571,0.633333] recall 0.72 [0.757143,0.633333] recall 0.63 [0.728571,0.4] recall 0.64 [0.7,0.5] relative_absolute_error 0.6902137767220892 relative_absolute_error 0.5950118764845596 relative_absolute_error 0.737814726840854 relative_absolute_error 0.6426128266033244 relative_absolute_error 0.7854156769596188 relative_absolute_error 0.6902137767220892 relative_absolute_error 0.7140142517814715 relative_absolute_error 0.666413301662707 relative_absolute_error 0.8806175771971482 relative_absolute_error 0.8568171021377659 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_squared_error 0.5385164807134504 root_mean_squared_error 0.5 root_mean_squared_error 0.5567764362830022 root_mean_squared_error 0.5196152422706632 root_mean_squared_error 0.5744562646538028 root_mean_squared_error 0.5385164807134504 root_mean_squared_error 0.5477225575051661 root_mean_squared_error 0.5291502622129182 root_mean_squared_error 0.6082762530298219 root_mean_squared_error 0.6 root_relative_squared_error 1.1751388568994756 root_relative_squared_error 1.0910890371847115 root_relative_squared_error 1.2149853315823114 root_relative_squared_error 1.133892988791197 root_relative_squared_error 1.253565865411687 root_relative_squared_error 1.1751388568994756 root_relative_squared_error 1.1952281558253186 root_relative_squared_error 1.154700100247861 root_relative_squared_error 1.3273671025212643 root_relative_squared_error 1.3093068446216538 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 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 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 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 wall_clock_time_millis 3.992319107055664 wall_clock_time_millis 3.9947032928466797 wall_clock_time_millis 4.002094268798828 wall_clock_time_millis 7.981777191162109 wall_clock_time_millis 4.001140594482422 wall_clock_time_millis 4.923343658447266 wall_clock_time_millis 3.991842269897461 wall_clock_time_millis 7.989645004272461 wall_clock_time_millis 3.9968490600585938 wall_clock_time_millis 3.997325897216797 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 3.9899349212646484 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 3.9954185485839844 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_training 3.992319107055664 wall_clock_time_millis_training 3.9947032928466797 wall_clock_time_millis_training 4.002094268798828 wall_clock_time_millis_training 3.991842269897461 wall_clock_time_millis_training 4.001140594482422 wall_clock_time_millis_training 4.923343658447266 wall_clock_time_millis_training 3.991842269897461 wall_clock_time_millis_training 3.9942264556884766 wall_clock_time_millis_training 3.9968490600585938 wall_clock_time_millis_training 3.997325897216797