1064 3229 Test Test 115 Supervised Classification 44 sklearn.ensemble._forest.RandomForestClassifier(1) 869 Python_3.8.18. Sklearn_1.3.2. NumPy_1.23.5. SciPy_1.10.1. bootstrap true 44 ccp_alpha 0.0 44 class_weight null 44 criterion "gini" 44 max_depth null 44 max_features "sqrt" 44 max_leaf_nodes null 44 max_samples null 44 min_impurity_decrease 0.0 44 min_samples_leaf 1 44 min_samples_split 2 44 min_weight_fraction_leaf 0.0 44 n_estimators 100 44 n_jobs null 44 oob_score false 44 random_state 12428 44 verbose 0 44 warm_start false 44 openml-python Sklearn_1.3.2. 20 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 3073 description https://test.openml.org/data/download/3073/description.xml -1 3074 predictions https://test.openml.org/data/download/3074/predictions.arff area_under_roc_curve 0.8290970149253732 [0.829097,0.829097] average_cost 0 f_measure 0.763912323037323 [0.828185,0.644] kappa 0.47350258811929996 kb_relative_information_score 0.31630880734562944 mean_absolute_error 0.3164453124999999 mean_prior_absolute_error 0.4544913419913401 weighted_recall 0.7682291666666666 [0.858,0.600746] number_of_instances 768 [500,268] precision 0.7632413096157146 [0.800373,0.693966] predictive_accuracy 0.7682291666666667 prior_entropy 0.9331348051619819 relative_absolute_error 0.6962625759018957 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.3975666545268437 root_relative_squared_error 0.8341009676234274 total_cost 0 unweighted_recall 0.7293731343283583 [0.858,0.600746] area_under_roc_curve 0.9122222222222222 [0.912222,0.912222] area_under_roc_curve 0.7514814814814816 [0.751481,0.751481] area_under_roc_curve 0.8662962962962965 [0.866296,0.866296] area_under_roc_curve 0.827037037037037 [0.827037,0.827037] area_under_roc_curve 0.8188888888888889 [0.818889,0.818889] area_under_roc_curve 0.8277777777777776 [0.827778,0.827778] area_under_roc_curve 0.8333333333333334 [0.833333,0.833333] area_under_roc_curve 0.8677777777777779 [0.867778,0.867778] area_under_roc_curve 0.8307692307692308 [0.830769,0.830769] area_under_roc_curve 0.7646153846153845 [0.764615,0.764615] 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 0.8426867250396664 [0.882353,0.769231] f_measure 0.6454817324382541 [0.759259,0.434783] f_measure 0.7922077922077921 [0.84,0.703704] f_measure 0.7582394021073267 [0.830189,0.625] f_measure 0.7521404431548276 [0.811881,0.641509] f_measure 0.8164678458796105 [0.862745,0.730769] f_measure 0.7582394021073267 [0.830189,0.625] f_measure 0.8265747857584592 [0.87619,0.734694] f_measure 0.7387331256490135 [0.82243,0.577778] f_measure 0.6986949936304455 [0.767677,0.566038] kappa 0.6518462697814618 kappa 0.20429252782193966 kappa 0.5437037037037038 kappa 0.459016393442623 kappa 0.4534927157265597 kappa 0.5938206480783723 kappa 0.459016393442623 kappa 0.6127659574468087 kappa 0.40624999999999994 kappa 0.333841463414634 kb_relative_information_score 0.43838791742046945 kb_relative_information_score 0.2116168596634245 kb_relative_information_score 0.3538653996393575 kb_relative_information_score 0.28854016861973725 kb_relative_information_score 0.2556612131586179 kb_relative_information_score 0.29193937336067516 kb_relative_information_score 0.32650249638870654 kb_relative_information_score 0.40550245748154745 kb_relative_information_score 0.3248976194912248 kb_relative_information_score 0.2652798337767348 mean_absolute_error 0.2692207792207793 mean_absolute_error 0.3551948051948053 mean_absolute_error 0.30376623376623385 mean_absolute_error 0.3300000000000001 mean_absolute_error 0.3376623376623377 mean_absolute_error 0.33259740259740256 mean_absolute_error 0.3111688311688313 mean_absolute_error 0.28480519480519473 mean_absolute_error 0.31078947368421067 mean_absolute_error 0.32934210526315794 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.45242652084757423 mean_prior_absolute_error 0.45242652084757423 weighted_recall 0.8441558441558441 [0.9,0.740741] weighted_recall 0.6623376623376623 [0.82,0.37037] weighted_recall 0.7922077922077922 [0.84,0.703704] weighted_recall 0.7662337662337663 [0.88,0.555556] weighted_recall 0.7532467532467533 [0.82,0.62963] weighted_recall 0.8181818181818182 [0.88,0.703704] weighted_recall 0.7662337662337663 [0.88,0.555556] weighted_recall 0.8311688311688312 [0.92,0.666667] weighted_recall 0.75 [0.88,0.5] weighted_recall 0.6973684210526315 [0.76,0.576923] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 76 [50,26] number_of_instances 76 [50,26] precision 0.8424575424575425 [0.865385,0.8] precision 0.6435760247012515 [0.706897,0.526316] precision 0.7922077922077922 [0.84,0.703704] precision 0.7606679035250463 [0.785714,0.714286] precision 0.7512977218859571 [0.803922,0.653846] precision 0.8159440559440558 [0.846154,0.76] precision 0.7606679035250463 [0.785714,0.714286] precision 0.8299881936245572 [0.836364,0.818182] precision 0.7419205909510618 [0.77193,0.684211] precision 0.7002625611648168 [0.77551,0.555556] predictive_accuracy 0.8441558441558442 predictive_accuracy 0.6623376623376623 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.8181818181818181 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.8311688311688311 predictive_accuracy 0.75 predictive_accuracy 0.6973684210526316 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9269862002370954 prior_entropy 0.9269862002370954 relative_absolute_error 0.591692923601586 relative_absolute_error 0.7806464766282382 relative_absolute_error 0.6676168588056486 relative_absolute_error 0.7252733810282826 relative_absolute_error 0.7421136523705372 relative_absolute_error 0.7309819475849787 relative_absolute_error 0.6838862734922335 relative_absolute_error 0.6259443229417642 relative_absolute_error 0.6869391146698888 relative_absolute_error 0.7279460643601742 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4744699650121647 root_mean_prior_squared_error 0.4744699650121647 root_mean_squared_error 0.3434035148713158 root_mean_squared_error 0.443280275443655 root_mean_squared_error 0.3808790243224628 root_mean_squared_error 0.4035926324736528 root_mean_squared_error 0.4082875228300533 root_mean_squared_error 0.3963125488344223 root_mean_squared_error 0.3992915804694187 root_mean_squared_error 0.36887156811854416 root_mean_squared_error 0.39351987845195585 root_mean_squared_error 0.4294105507001797 root_relative_squared_error 0.719659343745507 root_relative_squared_error 0.9289677545689996 root_relative_squared_error 0.7981955245654596 root_relative_squared_error 0.8457956789852633 root_relative_squared_error 0.8556346048160325 root_relative_squared_error 0.8305390494304252 root_relative_squared_error 0.8367821071121208 root_relative_squared_error 0.7730318972944832 root_relative_squared_error 0.8293883859263179 root_relative_squared_error 0.9050321039587199 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 153.53279999999714 usercpu_time_millis 151.64109999999908 usercpu_time_millis 154.8298999999993 usercpu_time_millis 152.26000000000184 usercpu_time_millis 152.1006999999983 usercpu_time_millis 154.31569999999795 usercpu_time_millis 153.14919999999788 usercpu_time_millis 155.1866000000004 usercpu_time_millis 152.54219999999918 usercpu_time_millis 151.880000000002 usercpu_time_millis_testing 6.735700000000122 usercpu_time_millis_testing 6.7416999999991845 usercpu_time_millis_testing 7.097900000001545 usercpu_time_millis_testing 6.634600000001711 usercpu_time_millis_testing 6.752499999997497 usercpu_time_millis_testing 6.797199999997616 usercpu_time_millis_testing 6.604599999999294 usercpu_time_millis_testing 6.955500000000114 usercpu_time_millis_testing 6.721599999998773 usercpu_time_millis_testing 6.577400000001177 usercpu_time_millis_training 146.79709999999702 usercpu_time_millis_training 144.8993999999999 usercpu_time_millis_training 147.73199999999775 usercpu_time_millis_training 145.62540000000013 usercpu_time_millis_training 145.34820000000082 usercpu_time_millis_training 147.51850000000033 usercpu_time_millis_training 146.54459999999858 usercpu_time_millis_training 148.23110000000028 usercpu_time_millis_training 145.8206000000004 usercpu_time_millis_training 145.30260000000084 wall_clock_time_millis 153.5360813140869 wall_clock_time_millis 151.65448188781738 wall_clock_time_millis 154.83736991882324 wall_clock_time_millis 152.2960662841797 wall_clock_time_millis 152.1129608154297 wall_clock_time_millis 154.31976318359375 wall_clock_time_millis 153.1522274017334 wall_clock_time_millis 155.20596504211426 wall_clock_time_millis 152.54592895507812 wall_clock_time_millis 151.92461013793945 wall_clock_time_millis_training 146.79765701293945 wall_clock_time_millis_training 144.91033554077148 wall_clock_time_millis_training 147.7358341217041 wall_clock_time_millis_training 145.6584930419922 wall_clock_time_millis_training 145.35760879516602 wall_clock_time_millis_training 147.5198268890381 wall_clock_time_millis_training 146.5451717376709 wall_clock_time_millis_training 148.24604988098145 wall_clock_time_millis_training 145.82133293151855 wall_clock_time_millis_training 145.34497261047363 wall_clock_time_millis_testing 6.738424301147461 wall_clock_time_millis_testing 6.744146347045898 wall_clock_time_millis_testing 7.101535797119141 wall_clock_time_millis_testing 6.6375732421875 wall_clock_time_millis_testing 6.755352020263672 wall_clock_time_millis_testing 6.799936294555664 wall_clock_time_millis_testing 6.6070556640625 wall_clock_time_millis_testing 6.9599151611328125 wall_clock_time_millis_testing 6.72459602355957 wall_clock_time_millis_testing 6.57963752746582 unweighted_recall 0.8203703703703704 [0.9,0.740741] unweighted_recall 0.5951851851851852 [0.82,0.37037] unweighted_recall 0.7718518518518518 [0.84,0.703704] unweighted_recall 0.7177777777777778 [0.88,0.555556] unweighted_recall 0.7248148148148148 [0.82,0.62963] unweighted_recall 0.7918518518518518 [0.88,0.703704] unweighted_recall 0.7177777777777778 [0.88,0.555556] unweighted_recall 0.7933333333333333 [0.92,0.666667] unweighted_recall 0.69 [0.88,0.5] unweighted_recall 0.6684615384615384 [0.76,0.576923]