10290983 8323 Heinrich Peters 37 Supervised Classification 12736 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,histgradientboostingclassifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1) 8158102 l2_regularization 1e-09 12677 learning_rate 0.01 12677 loss "auto" 12677 max_bins 16 12677 max_depth 2 12677 max_iter 500 12677 max_leaf_nodes 4 12677 min_samples_leaf 20 12677 n_iter_no_change null 12677 random_state 5357 12677 scoring null 12677 tol 1e-07 12677 validation_fraction 0.1 12677 verbose 0 12677 memory null 12736 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "histgradientboostingclassifier", "step_name": "histgradientboostingclassifier"}}] 12736 verbose false 12736 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 openml-python Sklearn_0.21.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 21503484 description https://api.openml.org/data/download/21503484/description.xml -1 21503485 predictions https://api.openml.org/data/download/21503485/predictions.arff area_under_roc_curve 0.82619776119403 [0.826198,0.826198] average_cost 0 f_measure 0.754971884900978 [0.82588,0.62268] kappa 0.4513600449704881 kb_relative_information_score 0.30554705742874083 mean_absolute_error 0.32219894110863695 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.7556222400411485 [0.787659,0.695853] predictive_accuracy 0.76171875 prior_entropy 0.9331348051619819 recall 0.76171875 [0.868,0.563433] relative_absolute_error 0.7089220659230426 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.3990909746574255 root_relative_squared_error 0.8372990147468697 total_cost 0 area_under_roc_curve 0.8800000000000001 [0.88,0.88] area_under_roc_curve 0.7640740740740741 [0.764074,0.764074] area_under_roc_curve 0.8651851851851851 [0.865185,0.865185] area_under_roc_curve 0.8044444444444444 [0.804444,0.804444] area_under_roc_curve 0.7962962962962963 [0.796296,0.796296] area_under_roc_curve 0.8733333333333334 [0.873333,0.873333] area_under_roc_curve 0.8118518518518517 [0.811852,0.811852] area_under_roc_curve 0.8607407407407407 [0.860741,0.860741] area_under_roc_curve 0.8638461538461538 [0.863846,0.863846] area_under_roc_curve 0.7884615384615384 [0.788462,0.788462] 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 0.8265747857584592 [0.87619,0.734694] f_measure 0.6553246753246754 [0.75,0.48] f_measure 0.7640300875594993 [0.823529,0.653846] f_measure 0.7059025198560083 [0.810811,0.511628] f_measure 0.7083516483516483 [0.788462,0.56] f_measure 0.8181818181818181 [0.86,0.740741] f_measure 0.7582394021073267 [0.830189,0.625] f_measure 0.833530106257379 [0.890909,0.727273] f_measure 0.7662349018964857 [0.841121,0.622222] f_measure 0.7075748194014448 [0.784314,0.56] kappa 0.6127659574468087 kappa 0.23236196319018407 kappa 0.4777694046721929 kappa 0.33919084593379656 kappa 0.3504601226993866 kappa 0.6007407407407408 kappa 0.459016393442623 kappa 0.6259109311740889 kappa 0.4687499999999999 kappa 0.3448275862068965 kb_relative_information_score 0.3819184960406794 kb_relative_information_score 0.2228823475783388 kb_relative_information_score 0.33040104688297084 kb_relative_information_score 0.26569555479269164 kb_relative_information_score 0.2289910851546952 kb_relative_information_score 0.318018336849984 kb_relative_information_score 0.300990867135801 kb_relative_information_score 0.3699979756026203 kb_relative_information_score 0.3507089273888647 kb_relative_information_score 0.2864146977258243 mean_absolute_error 0.2948644265327235 mean_absolute_error 0.3486077689210872 mean_absolute_error 0.3164165735050218 mean_absolute_error 0.3362313097404447 mean_absolute_error 0.35265963364527164 mean_absolute_error 0.3208488703137152 mean_absolute_error 0.32221913063839325 mean_absolute_error 0.29858684003157215 mean_absolute_error 0.3049641731288172 mean_absolute_error 0.32642169746539 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 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 0.8299881936245572 [0.836364,0.818182] precision 0.6519229562707823 [0.722222,0.521739] precision 0.7629170829170829 [0.807692,0.68] precision 0.7201005961251863 [0.737705,0.6875] precision 0.7064642282033586 [0.759259,0.608696] precision 0.8181818181818182 [0.86,0.740741] precision 0.7606679035250463 [0.785714,0.714286] precision 0.8603259485612428 [0.816667,0.941176] precision 0.7714681440443213 [0.789474,0.736842] precision 0.7056342780026992 [0.769231,0.583333] predictive_accuracy 0.8311688311688311 predictive_accuracy 0.6623376623376623 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.8181818181818181 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.8441558441558442 predictive_accuracy 0.7763157894736843 predictive_accuracy 0.7105263157894737 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 recall 0.8311688311688312 [0.92,0.666667] recall 0.6623376623376623 [0.78,0.444444] recall 0.7662337662337663 [0.84,0.62963] recall 0.7272727272727273 [0.9,0.407407] recall 0.7142857142857143 [0.82,0.518519] recall 0.8181818181818182 [0.86,0.740741] recall 0.7662337662337663 [0.88,0.555556] recall 0.8441558441558441 [0.98,0.592593] recall 0.7763157894736842 [0.9,0.538462] recall 0.7105263157894737 [0.8,0.538462] relative_absolute_error 0.648052483564709 relative_absolute_error 0.766169500660979 relative_absolute_error 0.6954197517556703 relative_absolute_error 0.7389685418879394 relative_absolute_error 0.7750746813518231 relative_absolute_error 0.7051610453682821 relative_absolute_error 0.7081726009397009 relative_absolute_error 0.6562335969704521 relative_absolute_error 0.6740634314661713 relative_absolute_error 0.7214910762832223 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 0.36673777009259156 root_mean_squared_error 0.445668284952721 root_mean_squared_error 0.3856968181280078 root_mean_squared_error 0.414785091814614 root_mean_squared_error 0.41454076805900664 root_mean_squared_error 0.37861441915375216 root_mean_squared_error 0.41180806226944644 root_mean_squared_error 0.37868579160457205 root_mean_squared_error 0.37626730868956576 root_mean_squared_error 0.4110322706946224 root_relative_squared_error 0.7685601676221241 root_relative_squared_error 0.9339722268056815 root_relative_squared_error 0.8082920150737148 root_relative_squared_error 0.8692513443916957 root_relative_squared_error 0.8687393232095953 root_relative_squared_error 0.7934496667073428 root_relative_squared_error 0.8630124824231771 root_relative_squared_error 0.7935992395826752 root_relative_squared_error 0.7930266116632247 root_relative_squared_error 0.8662977659377958 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 440.3897649899591 usercpu_time_millis 485.29874201631173 usercpu_time_millis 427.7663740213029 usercpu_time_millis 456.37153001734987 usercpu_time_millis 429.4303290080279 usercpu_time_millis 427.8080540243536 usercpu_time_millis 448.72361700981855 usercpu_time_millis 521.6440339863766 usercpu_time_millis 504.3453380058054 usercpu_time_millis 426.7043440195266 usercpu_time_millis_testing 14.483148988801986 usercpu_time_millis_testing 19.195160013623536 usercpu_time_millis_testing 13.476654014084488 usercpu_time_millis_testing 16.45395701052621 usercpu_time_millis_testing 45.345268008532 usercpu_time_millis_testing 15.015987999504432 usercpu_time_millis_testing 14.642221009125933 usercpu_time_millis_testing 13.474677980411798 usercpu_time_millis_testing 17.61831998010166 usercpu_time_millis_testing 13.19843000965193 usercpu_time_millis_training 425.9066160011571 usercpu_time_millis_training 466.1035820026882 usercpu_time_millis_training 414.2897200072184 usercpu_time_millis_training 439.91757300682366 usercpu_time_millis_training 384.0850609994959 usercpu_time_millis_training 412.7920660248492 usercpu_time_millis_training 434.0813960006926 usercpu_time_millis_training 508.1693560059648 usercpu_time_millis_training 486.7270180257037 usercpu_time_millis_training 413.5059140098747 wall_clock_time_millis 440.4299259185791 wall_clock_time_millis 485.3236675262451 wall_clock_time_millis 427.78587341308594 wall_clock_time_millis 456.3908576965332 wall_clock_time_millis 429.45289611816406 wall_clock_time_millis 427.83355712890625 wall_clock_time_millis 448.7452507019043 wall_clock_time_millis 521.6758251190186 wall_clock_time_millis 504.3962001800537 wall_clock_time_millis 426.72133445739746 wall_clock_time_millis_testing 14.499187469482422 wall_clock_time_millis_testing 19.208431243896484 wall_clock_time_millis_testing 13.49020004272461 wall_clock_time_millis_testing 16.46566390991211 wall_clock_time_millis_testing 45.35865783691406 wall_clock_time_millis_testing 15.028238296508789 wall_clock_time_millis_testing 14.655351638793945 wall_clock_time_millis_testing 13.484716415405273 wall_clock_time_millis_testing 17.63296127319336 wall_clock_time_millis_testing 13.206958770751953 wall_clock_time_millis_training 425.9307384490967 wall_clock_time_millis_training 466.11523628234863 wall_clock_time_millis_training 414.2956733703613 wall_clock_time_millis_training 439.9251937866211 wall_clock_time_millis_training 384.09423828125 wall_clock_time_millis_training 412.80531883239746 wall_clock_time_millis_training 434.08989906311035 wall_clock_time_millis_training 508.1911087036133 wall_clock_time_millis_training 486.76323890686035 wall_clock_time_millis_training 413.5143756866455