10291008 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) 8167102 l2_regularization 1e-10 12677 learning_rate 1.0 12677 loss "auto" 12677 max_bins 2 12677 max_depth 5 12677 max_iter 250 12677 max_leaf_nodes 4 12677 min_samples_leaf 3 12677 n_iter_no_change null 12677 random_state 38460 12677 scoring null 12677 tol 1e-07 12677 validation_fraction 0.2 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 21503534 description https://api.openml.org/data/download/21503534/description.xml -1 21503535 predictions https://api.openml.org/data/download/21503535/predictions.arff area_under_roc_curve 0.749223880597015 [0.749224,0.749224] average_cost 0 f_measure 0.7201102081354617 [0.793774,0.582677] kappa 0.3773861967694568 kb_relative_information_score 0.23631848635169622 mean_absolute_error 0.3440623347038377 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.7182686237373738 [0.772727,0.616667] predictive_accuracy 0.7239583333333333 prior_entropy 0.9331348051619819 recall 0.7239583333333334 [0.816,0.552239] relative_absolute_error 0.7570272586411414 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.4430612961612076 root_relative_squared_error 0.9295494268360492 total_cost 0 area_under_roc_curve 0.8077777777777778 [0.807778,0.807778] area_under_roc_curve 0.6944444444444444 [0.694444,0.694444] area_under_roc_curve 0.8074074074074075 [0.807407,0.807407] area_under_roc_curve 0.8033333333333333 [0.803333,0.803333] area_under_roc_curve 0.7344444444444445 [0.734444,0.734444] area_under_roc_curve 0.7540740740740741 [0.754074,0.754074] area_under_roc_curve 0.7377777777777778 [0.737778,0.737778] area_under_roc_curve 0.7670370370370371 [0.767037,0.767037] area_under_roc_curve 0.7450000000000001 [0.745,0.745] area_under_roc_curve 0.6792307692307693 [0.679231,0.679231] 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 0.7640300875594993 [0.823529,0.653846] f_measure 0.6398091704214153 [0.742857,0.44898] f_measure 0.7902489667195549 [0.843137,0.692308] f_measure 0.7759425040978439 [0.834951,0.666667] f_measure 0.6906970580439968 [0.755102,0.571429] f_measure 0.7260499634869146 [0.792079,0.603774] f_measure 0.688825590794173 [0.785047,0.510638] f_measure 0.7348651348651349 [0.807692,0.6] f_measure 0.7271274988126593 [0.811321,0.565217] f_measure 0.6578947368421053 [0.74,0.5] kappa 0.4777694046721929 kappa 0.19574468085106392 kappa 0.5357950263752826 kappa 0.5024705435195743 kappa 0.327021121631464 kappa 0.39596563317146066 kappa 0.302481291847184 kappa 0.4095092024539878 kappa 0.38110749185667747 kappa 0.24000000000000016 kb_relative_information_score 0.3086218093332852 kb_relative_information_score 0.1493151311411392 kb_relative_information_score 0.2957612245631538 kb_relative_information_score 0.30734937326760453 kb_relative_information_score 0.17880317374904486 kb_relative_information_score 0.22681614509940803 kb_relative_information_score 0.22817020648695652 kb_relative_information_score 0.2574566703127531 kb_relative_information_score 0.26506088175079356 kb_relative_information_score 0.14450047129124471 mean_absolute_error 0.31428605963597245 mean_absolute_error 0.37842641124825405 mean_absolute_error 0.3253313912709602 mean_absolute_error 0.3194554100313064 mean_absolute_error 0.36824741987901777 mean_absolute_error 0.350554818491937 mean_absolute_error 0.3447368048919754 mean_absolute_error 0.3355444855589805 mean_absolute_error 0.3277092834551759 mean_absolute_error 0.3765406820040392 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 0.7629170829170829 [0.807692,0.68] precision 0.6357733175914994 [0.709091,0.5] precision 0.7894305694305694 [0.826923,0.72] precision 0.775208282283754 [0.811321,0.708333] precision 0.6940028362442155 [0.770833,0.551724] precision 0.7250788427259015 [0.784314,0.615385] precision 0.6888585099111415 [0.736842,0.6] precision 0.7337348641696468 [0.777778,0.652174] precision 0.7275375939849624 [0.767857,0.65] precision 0.6578947368421053 [0.74,0.5] predictive_accuracy 0.7662337662337663 predictive_accuracy 0.6493506493506493 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.6883116883116882 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.7012987012987013 predictive_accuracy 0.7402597402597402 predictive_accuracy 0.736842105263158 predictive_accuracy 0.6578947368421052 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 0.7662337662337663 [0.84,0.62963] recall 0.6493506493506493 [0.78,0.407407] recall 0.7922077922077922 [0.86,0.666667] recall 0.7792207792207793 [0.86,0.62963] recall 0.6883116883116883 [0.74,0.592593] recall 0.7272727272727273 [0.8,0.592593] recall 0.7012987012987013 [0.84,0.444444] recall 0.7402597402597403 [0.84,0.555556] recall 0.7368421052631579 [0.86,0.5] recall 0.6578947368421053 [0.74,0.5] relative_absolute_error 0.6907373123704186 relative_absolute_error 0.8317048568376377 relative_absolute_error 0.7150127215203769 relative_absolute_error 0.7020985009732784 relative_absolute_error 0.8093334886987781 relative_absolute_error 0.7704487225557667 relative_absolute_error 0.7576619031784556 relative_absolute_error 0.7374590409901741 relative_absolute_error 0.7243370323234953 relative_absolute_error 0.832269251808292 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 0.415758753546685 root_mean_squared_error 0.4777182710924395 root_mean_squared_error 0.4104016214325287 root_mean_squared_error 0.41146203298687917 root_mean_squared_error 0.4516606249951765 root_mean_squared_error 0.4362931098641875 root_mean_squared_error 0.45677318413742946 root_mean_squared_error 0.430404701349053 root_mean_squared_error 0.44551591160545906 root_mean_squared_error 0.48793446843982413 root_relative_squared_error 0.8712918149541329 root_relative_squared_error 1.0011383185709495 root_relative_squared_error 0.8600650510607101 root_relative_squared_error 0.8622873203452572 root_relative_squared_error 0.9465301748629966 root_relative_squared_error 0.9143249836659555 root_relative_squared_error 0.9572443953000024 root_relative_squared_error 0.9019848414595044 root_relative_squared_error 0.9389760036634494 root_relative_squared_error 1.0283779889572446 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 231.93303297739476 usercpu_time_millis 223.4391839883756 usercpu_time_millis 269.6664750110358 usercpu_time_millis 281.93645999999717 usercpu_time_millis 316.83332796092145 usercpu_time_millis 241.6700699541252 usercpu_time_millis 299.7576760244556 usercpu_time_millis 288.8511479832232 usercpu_time_millis 228.35590998874977 usercpu_time_millis 218.21118899970315 usercpu_time_millis_testing 7.254297990584746 usercpu_time_millis_testing 8.000290981726721 usercpu_time_millis_testing 8.617672021500766 usercpu_time_millis_testing 7.315302995266393 usercpu_time_millis_testing 7.699104986386374 usercpu_time_millis_testing 8.209985971916467 usercpu_time_millis_testing 8.26321600470692 usercpu_time_millis_testing 9.628189000068232 usercpu_time_millis_testing 8.254443004261702 usercpu_time_millis_testing 7.1972800069488585 usercpu_time_millis_training 224.67873498681 usercpu_time_millis_training 215.43889300664887 usercpu_time_millis_training 261.04880298953503 usercpu_time_millis_training 274.6211570047308 usercpu_time_millis_training 309.1342229745351 usercpu_time_millis_training 233.46008398220874 usercpu_time_millis_training 291.49446001974866 usercpu_time_millis_training 279.22295898315497 usercpu_time_millis_training 220.10146698448807 usercpu_time_millis_training 211.0139089927543 wall_clock_time_millis 231.9502830505371 wall_clock_time_millis 223.4652042388916 wall_clock_time_millis 269.6857452392578 wall_clock_time_millis 281.96072578430176 wall_clock_time_millis 316.85471534729004 wall_clock_time_millis 241.69087409973145 wall_clock_time_millis 299.7925281524658 wall_clock_time_millis 288.86985778808594 wall_clock_time_millis 228.37233543395996 wall_clock_time_millis 218.2326316833496 wall_clock_time_millis_testing 7.262706756591797 wall_clock_time_millis_testing 8.01706314086914 wall_clock_time_millis_testing 8.628606796264648 wall_clock_time_millis_testing 7.326364517211914 wall_clock_time_millis_testing 7.710456848144531 wall_clock_time_millis_testing 8.223533630371094 wall_clock_time_millis_testing 8.272409439086914 wall_clock_time_millis_testing 9.64045524597168 wall_clock_time_millis_testing 8.26573371887207 wall_clock_time_millis_testing 7.210969924926758 wall_clock_time_millis_training 224.6875762939453 wall_clock_time_millis_training 215.44814109802246 wall_clock_time_millis_training 261.05713844299316 wall_clock_time_millis_training 274.63436126708984 wall_clock_time_millis_training 309.1442584991455 wall_clock_time_millis_training 233.46734046936035 wall_clock_time_millis_training 291.5201187133789 wall_clock_time_millis_training 279.22940254211426 wall_clock_time_millis_training 220.1066017150879 wall_clock_time_millis_training 211.02166175842285