10590787 32117 VAIBHAV JAISWAL 37 Supervised Classification 19168 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._weight_boosting.AdaBoostClassifier)(1) 8304359 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 19168 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"}}] 19168 verbose false 19168 algorithm "SAMME.R" 19169 base_estimator null 19169 learning_rate 1.0 19169 n_estimators 50 19169 random_state 51066 19169 openml-python Sklearn_1.0.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 22109170 description https://api.openml.org/data/download/22109170/description.xml -1 22109171 predictions https://api.openml.org/data/download/22109171/predictions.arff area_under_roc_curve 0.814570895522388 [0.814571,0.814571] average_cost 0 f_measure 0.7570767844194574 [0.821012,0.637795] kappa 0.45961820851688684 kb_relative_information_score -0.13984345884551438 mean_absolute_error 0.49118018187866586 mean_prior_absolute_error 0.4544913419913401 weighted_recall 0.7604166666666666 [0.844,0.604478] number_of_instances 768 [500,268] precision 0.755886994949495 [0.799242,0.675] predictive_accuracy 0.7604166666666667 prior_entropy 0.9331348051619819 relative_absolute_error 1.0807250578780547 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.4916669326698426 root_relative_squared_error 1.0315248012347282 total_cost 0 unweighted_recall 0.7242388059701492 [0.844,0.604478] area_under_roc_curve 0.8703703703703703 [0.87037,0.87037] area_under_roc_curve 0.7651851851851852 [0.765185,0.765185] area_under_roc_curve 0.8414814814814815 [0.841481,0.841481] area_under_roc_curve 0.8507407407407407 [0.850741,0.850741] area_under_roc_curve 0.8022222222222222 [0.802222,0.802222] area_under_roc_curve 0.8392592592592591 [0.839259,0.839259] area_under_roc_curve 0.8133333333333334 [0.813333,0.813333] area_under_roc_curve 0.8437037037037037 [0.843704,0.843704] area_under_roc_curve 0.7884615384615384 [0.788462,0.788462] area_under_roc_curve 0.7338461538461538 [0.733846,0.733846] 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 0.7759425040978439 [0.834951,0.666667] f_measure 0.7083516483516483 [0.788462,0.56] f_measure 0.7902489667195549 [0.843137,0.692308] f_measure 0.7387584892172047 [0.825688,0.577778] f_measure 0.6906970580439968 [0.755102,0.571429] f_measure 0.7902489667195549 [0.843137,0.692308] f_measure 0.7759425040978439 [0.834951,0.666667] f_measure 0.8144055944055943 [0.865385,0.72] f_measure 0.7697435077054338 [0.838095,0.638298] f_measure 0.7129331264669612 [0.77551,0.592593] kappa 0.5024705435195743 kappa 0.3504601226993866 kappa 0.5357950263752826 kappa 0.4131568391496189 kappa 0.327021121631464 kappa 0.5357950263752826 kappa 0.5024705435195743 kappa 0.5866564417177915 kappa 0.47903225806451605 kappa 0.36858006042296065 kb_relative_information_score -0.13123113839867956 kb_relative_information_score -0.14502899725885532 kb_relative_information_score -0.13456285894819878 kb_relative_information_score -0.13818627545335244 kb_relative_information_score -0.14248949326331495 kb_relative_information_score -0.13394639433352148 kb_relative_information_score -0.13483326320274874 kb_relative_information_score -0.13394864078739166 kb_relative_information_score -0.147194007918808 kb_relative_information_score -0.15754160189380648 mean_absolute_error 0.4888695428323138 mean_absolute_error 0.4939133710468157 mean_absolute_error 0.49023359013846546 mean_absolute_error 0.49138371921049595 mean_absolute_error 0.4926997837926104 mean_absolute_error 0.48963419310410383 mean_absolute_error 0.49035454186010696 mean_absolute_error 0.49004159204815434 mean_absolute_error 0.4908533585611616 mean_absolute_error 0.4938485356792243 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 0.775208282283754 [0.811321,0.708333] precision 0.7064642282033586 [0.759259,0.608696] precision 0.7894305694305694 [0.826923,0.72] precision 0.74851419766674 [0.762712,0.722222] precision 0.6940028362442155 [0.770833,0.551724] precision 0.7894305694305694 [0.826923,0.72] precision 0.775208282283754 [0.811321,0.708333] precision 0.8155467720685112 [0.833333,0.782609] precision 0.7706766917293233 [0.8,0.714286] precision 0.7163220551378445 [0.791667,0.571429] predictive_accuracy 0.7792207792207791 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.6883116883116882 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.8181818181818181 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 1.074436564278009 relative_absolute_error 1.0855218804672746 relative_absolute_error 1.0774344648889638 relative_absolute_error 1.079962216406208 relative_absolute_error 1.0828546606762737 relative_absolute_error 1.0761171112111159 relative_absolute_error 1.0777002923559218 relative_absolute_error 1.0770124918462036 relative_absolute_error 1.084934980472848 relative_absolute_error 1.0915552314529444 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 0.49006616095573885 root_mean_squared_error 0.49540658006572225 root_mean_squared_error 0.49042537393439617 root_mean_squared_error 0.4915219690845878 root_mean_squared_error 0.4928173144814687 root_mean_squared_error 0.4901091852833311 root_mean_squared_error 0.49055553254200285 root_mean_squared_error 0.49021109086031994 root_mean_squared_error 0.49106593863094916 root_mean_squared_error 0.4944849983380901 root_relative_squared_error 1.0270153813581309 root_relative_squared_error 1.038207120363647 root_relative_squared_error 1.0277681720701954 root_relative_squared_error 1.0300662701151064 root_relative_squared_error 1.0327808824527012 root_relative_squared_error 1.0271055460128862 root_relative_squared_error 1.02804094114237 root_relative_squared_error 1.027319106146909 root_relative_squared_error 1.0349779224030733 root_relative_squared_error 1.0421839838174207 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 0.7448148148148148 [0.86,0.62963] unweighted_recall 0.6692592592592592 [0.82,0.518519] unweighted_recall 0.7633333333333333 [0.86,0.666667] unweighted_recall 0.6907407407407408 [0.9,0.481481] unweighted_recall 0.6662962962962963 [0.74,0.592593] unweighted_recall 0.7633333333333333 [0.86,0.666667] unweighted_recall 0.7448148148148148 [0.86,0.62963] unweighted_recall 0.7833333333333333 [0.9,0.666667] unweighted_recall 0.7284615384615385 [0.88,0.576923] unweighted_recall 0.6876923076923077 [0.76,0.615385] usercpu_time_millis 156.25 usercpu_time_millis 171.875 usercpu_time_millis 187.5 usercpu_time_millis 187.5 usercpu_time_millis 187.5 usercpu_time_millis 171.875 usercpu_time_millis 156.25 usercpu_time_millis 156.25 usercpu_time_millis 171.875 usercpu_time_millis 156.25 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_training 140.625 usercpu_time_millis_training 156.25 usercpu_time_millis_training 171.875 usercpu_time_millis_training 171.875 usercpu_time_millis_training 171.875 usercpu_time_millis_training 156.25 usercpu_time_millis_training 156.25 usercpu_time_millis_training 140.625 usercpu_time_millis_training 156.25 usercpu_time_millis_training 140.625 wall_clock_time_millis 159.90376472473145 wall_clock_time_millis 172.90091514587402 wall_clock_time_millis 186.89274787902832 wall_clock_time_millis 187.9115104675293 wall_clock_time_millis 182.91497230529785 wall_clock_time_millis 172.90019989013672 wall_clock_time_millis 168.9000129699707 wall_clock_time_millis 162.92977333068848 wall_clock_time_millis 162.92810440063477 wall_clock_time_millis 166.8996810913086 wall_clock_time_millis_testing 13.991832733154297 wall_clock_time_millis_testing 11.993885040283203 wall_clock_time_millis_testing 17.988920211791992 wall_clock_time_millis_testing 12.011528015136719 wall_clock_time_millis_testing 14.99176025390625 wall_clock_time_millis_testing 13.99087905883789 wall_clock_time_millis_testing 12.992382049560547 wall_clock_time_millis_testing 14.992237091064453 wall_clock_time_millis_testing 10.994434356689453 wall_clock_time_millis_testing 11.992454528808594 wall_clock_time_millis_training 145.91193199157715 wall_clock_time_millis_training 160.90703010559082 wall_clock_time_millis_training 168.90382766723633 wall_clock_time_millis_training 175.89998245239258 wall_clock_time_millis_training 167.9232120513916 wall_clock_time_millis_training 158.90932083129883 wall_clock_time_millis_training 155.90763092041016 wall_clock_time_millis_training 147.93753623962402 wall_clock_time_millis_training 151.9336700439453 wall_clock_time_millis_training 154.9072265625 weighted_recall 0.7792207792207793 [0.86,0.62963] weighted_recall 0.7142857142857143 [0.82,0.518519] weighted_recall 0.7922077922077922 [0.86,0.666667] weighted_recall 0.7532467532467533 [0.9,0.481481] weighted_recall 0.6883116883116883 [0.74,0.592593] weighted_recall 0.7922077922077922 [0.86,0.666667] weighted_recall 0.7792207792207793 [0.86,0.62963] weighted_recall 0.8181818181818182 [0.9,0.666667] weighted_recall 0.7763157894736842 [0.88,0.576923] weighted_recall 0.7105263157894737 [0.76,0.615385]