10590790 32117 VAIBHAV JAISWAL 37 Supervised Classification 19174 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1) 8304362 Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3. copy true 19075 with_mean true 19075 with_std true 19075 add_indicator false 19084 copy true 19084 fill_value null 19084 missing_values NaN 19084 strategy "mean" 19084 verbose 0 19084 memory null 19156 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}] 19156 verbose false 19156 memory null 19174 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}] 19174 verbose false 19174 categorical_features null 19175 early_stopping "auto" 19175 l2_regularization 0.0 19175 learning_rate 0.1 19175 loss "auto" 19175 max_bins 255 19175 max_depth null 19175 max_iter 100 19175 max_leaf_nodes 31 19175 min_samples_leaf 20 19175 monotonic_cst null 19175 n_iter_no_change 10 19175 random_state 10333 19175 scoring "loss" 19175 tol 1e-07 19175 validation_fraction 0.1 19175 verbose 0 19175 warm_start false 19175 openml-python Sklearn_1.0.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 22109176 description https://api.openml.org/data/download/22109176/description.xml -1 22109177 predictions https://api.openml.org/data/download/22109177/predictions.arff area_under_roc_curve 0.805231343283582 [0.805231,0.805231] average_cost 0 f_measure 0.7382672414886097 [0.805093,0.613592] kappa 0.4191724179866832 kb_relative_information_score 0.3783886162575202 mean_absolute_error 0.2783843501252234 mean_prior_absolute_error 0.4544913419913401 weighted_recall 0.7408854166666666 [0.822,0.589552] number_of_instances 768 [500,268] precision 0.7368059629825338 [0.788868,0.639676] predictive_accuracy 0.7408854166666667 prior_entropy 0.9331348051619819 relative_absolute_error 0.6125184891432491 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.433256676521631 root_relative_squared_error 0.9089791837449043 total_cost 0 unweighted_recall 0.705776119402985 [0.822,0.589552] area_under_roc_curve 0.8851851851851852 [0.885185,0.885185] area_under_roc_curve 0.7437037037037038 [0.743704,0.743704] area_under_roc_curve 0.825925925925926 [0.825926,0.825926] area_under_roc_curve 0.7792592592592592 [0.779259,0.779259] area_under_roc_curve 0.748888888888889 [0.748889,0.748889] area_under_roc_curve 0.7844444444444445 [0.784444,0.784444] area_under_roc_curve 0.8422222222222222 [0.842222,0.842222] area_under_roc_curve 0.8303703703703704 [0.83037,0.83037] area_under_roc_curve 0.8584615384615385 [0.858462,0.858462] area_under_roc_curve 0.7538461538461538 [0.753846,0.753846] 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 0.8023022094980975 [0.854369,0.705882] f_measure 0.7083516483516483 [0.788462,0.56] f_measure 0.7662337662337663 [0.82,0.666667] f_measure 0.6553246753246754 [0.75,0.48] f_measure 0.6766364948183129 [0.747475,0.545455] f_measure 0.7495827986975903 [0.815534,0.627451] f_measure 0.7640300875594993 [0.823529,0.653846] f_measure 0.7732131813764467 [0.838095,0.653061] f_measure 0.7697435077054338 [0.838095,0.638298] f_measure 0.7148339598997493 [0.770833,0.607143] kappa 0.5610034207525657 kappa 0.3504601226993866 kappa 0.48666666666666675 kappa 0.23236196319018407 kappa 0.29305912596401024 kappa 0.4439376662865831 kappa 0.4777694046721929 kappa 0.4936170212765959 kappa 0.47903225806451605 kappa 0.37982195845697325 kb_relative_information_score 0.5343662327681351 kb_relative_information_score 0.28889594486739745 kb_relative_information_score 0.3944624091619901 kb_relative_information_score 0.2854037836638568 kb_relative_information_score 0.2471360987226458 kb_relative_information_score 0.33945555853687376 kb_relative_information_score 0.44287666614749016 kb_relative_information_score 0.4665904082264148 kb_relative_information_score 0.45801288803107193 kb_relative_information_score 0.3272875050958957 mean_absolute_error 0.21178720714686283 mean_absolute_error 0.31665376062590733 mean_absolute_error 0.27373786968165725 mean_absolute_error 0.3143560611642129 mean_absolute_error 0.3335277845195646 mean_absolute_error 0.30058296081295544 mean_absolute_error 0.2518107242921486 mean_absolute_error 0.2425805446746713 mean_absolute_error 0.24378515251609567 mean_absolute_error 0.29478509224030985 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 0.8020705709384955 [0.830189,0.75] precision 0.7064642282033586 [0.759259,0.608696] precision 0.7662337662337663 [0.82,0.666667] precision 0.6519229562707823 [0.722222,0.521739] precision 0.6781738669493772 [0.755102,0.535714] precision 0.7483459936290124 [0.792453,0.666667] precision 0.7629170829170829 [0.807692,0.68] precision 0.7744982290436836 [0.8,0.727273] precision 0.7706766917293233 [0.8,0.714286] precision 0.7230358504958048 [0.804348,0.566667] predictive_accuracy 0.8051948051948052 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.6623376623376623 predictive_accuracy 0.6753246753246753 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.7792207792207791 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 relative_absolute_error 0.46546552662406787 relative_absolute_error 0.6959410411650674 relative_absolute_error 0.601620576543924 relative_absolute_error 0.6908911615978856 relative_absolute_error 0.7330267392284153 relative_absolute_error 0.6606206674797089 relative_absolute_error 0.5534291375349918 relative_absolute_error 0.5331430660844884 relative_absolute_error 0.5388392176024284 relative_absolute_error 0.6515645716083587 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 0.3482024235136615 root_mean_squared_error 0.48670721118888566 root_mean_squared_error 0.421219166939215 root_mean_squared_error 0.4652805406976992 root_mean_squared_error 0.47812167453799903 root_mean_squared_error 0.44468303604056364 root_mean_squared_error 0.4087227542919454 root_mean_squared_error 0.4028366399339115 root_mean_squared_error 0.3909177981347665 root_mean_squared_error 0.4652978503682135 root_relative_squared_error 0.7297162572443082 root_relative_squared_error 1.0199761418623048 root_relative_squared_error 0.8827350219932916 root_relative_squared_error 0.9750729799650926 root_relative_squared_error 1.0019837177772006 root_relative_squared_error 0.9319074733746783 root_relative_squared_error 0.8565467049392943 root_relative_squared_error 0.8442113705217038 root_relative_squared_error 0.8239042025025628 root_relative_squared_error 0.9806687138906335 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 0.7733333333333333 [0.88,0.666667] unweighted_recall 0.6692592592592592 [0.82,0.518519] unweighted_recall 0.7433333333333333 [0.82,0.666667] unweighted_recall 0.6122222222222222 [0.78,0.444444] unweighted_recall 0.6477777777777778 [0.74,0.555556] unweighted_recall 0.7162962962962962 [0.84,0.592593] unweighted_recall 0.7348148148148148 [0.84,0.62963] unweighted_recall 0.7362962962962962 [0.88,0.592593] unweighted_recall 0.7284615384615385 [0.88,0.576923] unweighted_recall 0.696923076923077 [0.74,0.653846] usercpu_time_millis 2203.125 usercpu_time_millis 3046.875 usercpu_time_millis 2312.5 usercpu_time_millis 3046.875 usercpu_time_millis 2562.5 usercpu_time_millis 2828.125 usercpu_time_millis 2921.875 usercpu_time_millis 2062.5 usercpu_time_millis 2984.375 usercpu_time_millis 3140.625 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 62.5 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 62.5 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 62.5 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 62.5 usercpu_time_millis_testing 46.875 usercpu_time_millis_training 2156.25 usercpu_time_millis_training 2984.375 usercpu_time_millis_training 2265.625 usercpu_time_millis_training 2984.375 usercpu_time_millis_training 2515.625 usercpu_time_millis_training 2765.625 usercpu_time_millis_training 2875 usercpu_time_millis_training 2015.625 usercpu_time_millis_training 2921.875 usercpu_time_millis_training 3093.75 wall_clock_time_millis 820.507287979126 wall_clock_time_millis 817.5313472747803 wall_clock_time_millis 815.5326843261719 wall_clock_time_millis 816.5309429168701 wall_clock_time_millis 824.5275020599365 wall_clock_time_millis 826.5261650085449 wall_clock_time_millis 818.5300827026367 wall_clock_time_millis 825.5281448364258 wall_clock_time_millis 826.5259265899658 wall_clock_time_millis 822.5281238555908 wall_clock_time_millis_testing 8.994340896606445 wall_clock_time_millis_testing 7.995367050170898 wall_clock_time_millis_testing 8.994340896606445 wall_clock_time_millis_testing 7.994174957275391 wall_clock_time_millis_testing 9.99307632446289 wall_clock_time_millis_testing 8.994817733764648 wall_clock_time_millis_testing 8.993864059448242 wall_clock_time_millis_testing 8.99505615234375 wall_clock_time_millis_testing 9.993553161621094 wall_clock_time_millis_testing 7.995367050170898 wall_clock_time_millis_training 811.5129470825195 wall_clock_time_millis_training 809.5359802246094 wall_clock_time_millis_training 806.5383434295654 wall_clock_time_millis_training 808.5367679595947 wall_clock_time_millis_training 814.5344257354736 wall_clock_time_millis_training 817.5313472747803 wall_clock_time_millis_training 809.5362186431885 wall_clock_time_millis_training 816.533088684082 wall_clock_time_millis_training 816.5323734283447 wall_clock_time_millis_training 814.5327568054199 weighted_recall 0.8051948051948052 [0.88,0.666667] weighted_recall 0.7142857142857143 [0.82,0.518519] weighted_recall 0.7662337662337663 [0.82,0.666667] weighted_recall 0.6623376623376623 [0.78,0.444444] weighted_recall 0.6753246753246753 [0.74,0.555556] weighted_recall 0.7532467532467533 [0.84,0.592593] weighted_recall 0.7662337662337663 [0.84,0.62963] weighted_recall 0.7792207792207793 [0.88,0.592593] weighted_recall 0.7763157894736842 [0.88,0.576923] weighted_recall 0.7105263157894737 [0.74,0.653846]