10591275 32117 VAIBHAV JAISWAL 37 Supervised Classification 19159 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.linear_model._stochastic_gradient.SGDClassifier)(1) 8304102 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 19159 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"}}] 19159 verbose false 19159 alpha 0.0001 19160 average false 19160 class_weight null 19160 early_stopping false 19160 epsilon 0.1 19160 eta0 0.0 19160 fit_intercept true 19160 l1_ratio 0.15 19160 learning_rate "optimal" 19160 loss "hinge" 19160 max_iter 1000 19160 n_iter_no_change 5 19160 n_jobs null 19160 penalty "l2" 19160 power_t 0.5 19160 random_state 0 19160 shuffle true 19160 tol 0.001 19160 validation_fraction 0.1 19160 verbose 0 19160 warm_start false 19160 openml-python Sklearn_1.0.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 22110156 description https://api.openml.org/data/download/22110156/description.xml -1 22110157 predictions https://api.openml.org/data/download/22110157/predictions.arff area_under_roc_curve 0.6899850746268656 [0.689985,0.689985] average_cost 0 f_measure 0.7262481273588076 [0.799224,0.590099] kappa 0.3904481457623999 kb_relative_information_score 0.3826517149016522 mean_absolute_error 0.26953125 mean_prior_absolute_error 0.4544913419913401 weighted_recall 0.73046875 [0.824,0.55597] number_of_instances 768 [500,268] precision 0.7245269801822848 [0.775895,0.628692] predictive_accuracy 0.73046875 prior_entropy 0.9331348051619819 relative_absolute_error 0.5930393499226123 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.5191639914323797 root_relative_squared_error 1.0892140542429474 total_cost 0 unweighted_recall 0.6899850746268656 [0.824,0.55597] area_under_roc_curve 0.6462962962962963 [0.646296,0.646296] area_under_roc_curve 0.6977777777777778 [0.697778,0.697778] area_under_roc_curve 0.6737037037037037 [0.673704,0.673704] area_under_roc_curve 0.6451851851851852 [0.645185,0.645185] area_under_roc_curve 0.6507407407407407 [0.650741,0.650741] area_under_roc_curve 0.7688888888888888 [0.768889,0.768889] area_under_roc_curve 0.6877777777777778 [0.687778,0.687778] area_under_roc_curve 0.7377777777777778 [0.737778,0.737778] area_under_roc_curve 0.7161538461538463 [0.716154,0.716154] area_under_roc_curve 0.6784615384615384 [0.678462,0.678462] 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 0.6669465591879385 [0.729167,0.551724] f_measure 0.7348651348651349 [0.807692,0.6] f_measure 0.7283211069094945 [0.831858,0.536585] f_measure 0.6997233286894414 [0.814159,0.487805] f_measure 0.6931707748034278 [0.780952,0.530612] f_measure 0.7704614534401768 [0.808511,0.7] f_measure 0.7232230932973366 [0.796117,0.588235] f_measure 0.7818349122696949 [0.851852,0.652174] f_measure 0.7285318559556786 [0.778947,0.631579] f_measure 0.7105263157894737 [0.78,0.576923] kappa 0.28295128939828074 kappa 0.4095092024539878 kappa 0.3906705539358601 kappa 0.326530612244898 kappa 0.3148936170212767 kappa 0.5116279069767443 kappa 0.3854047890535918 kappa 0.5103338632750399 kappa 0.41323529411764703 kappa 0.35692307692307695 kb_relative_information_score 0.22785618780042838 kb_relative_information_score 0.40604322138494553 kb_relative_information_score 0.4357410603156983 kb_relative_information_score 0.3763453824541927 kb_relative_information_score 0.316949704592687 kb_relative_information_score 0.46543889924645093 kb_relative_information_score 0.37634538245419263 kb_relative_information_score 0.5248345771079564 kb_relative_information_score 0.3629141743626787 kb_relative_information_score 0.33257675409423476 mean_absolute_error 0.33766233766233766 mean_absolute_error 0.2597402597402597 mean_absolute_error 0.24675324675324675 mean_absolute_error 0.2727272727272727 mean_absolute_error 0.2987012987012987 mean_absolute_error 0.23376623376623376 mean_absolute_error 0.2727272727272727 mean_absolute_error 0.2077922077922078 mean_absolute_error 0.27631578947368424 mean_absolute_error 0.2894736842105263 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 0.6750514562576274 [0.76087,0.516129] precision 0.7337348641696468 [0.777778,0.652174] precision 0.7599464028035458 [0.746032,0.785714] precision 0.7245928674500103 [0.730159,0.714286] precision 0.6912632821723731 [0.745455,0.590909] precision 0.7839433293978748 [0.863636,0.636364] precision 0.7214837049742711 [0.773585,0.625] precision 0.7918306738633417 [0.793103,0.789474] precision 0.739577438219204 [0.822222,0.580645] precision 0.7105263157894737 [0.78,0.576923] predictive_accuracy 0.6623376623376623 predictive_accuracy 0.7402597402597402 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.7012987012987013 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.7236842105263157 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 0.742113652370537 relative_absolute_error 0.5708566556696436 relative_absolute_error 0.5423138228861615 relative_absolute_error 0.599399488453126 relative_absolute_error 0.6564851540200902 relative_absolute_error 0.5137709901026793 relative_absolute_error 0.599399488453126 relative_absolute_error 0.45668532453571503 relative_absolute_error 0.6107418038978688 relative_absolute_error 0.6398247469406244 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 0.5810872031479765 root_mean_squared_error 0.5096471914376255 root_mean_squared_error 0.496742636335202 root_mean_squared_error 0.5222329678670935 root_mean_squared_error 0.5465357250000211 root_mean_squared_error 0.48349377841522817 root_mean_squared_error 0.5222329678670935 root_mean_squared_error 0.4558423058385518 root_mean_squared_error 0.5256574830378469 root_mean_squared_error 0.5380275868489703 root_relative_squared_error 1.217765157217718 root_relative_squared_error 1.0680506967704846 root_relative_squared_error 1.0410070491251833 root_relative_squared_error 1.0944262905356 root_relative_squared_error 1.1453567717103283 root_relative_squared_error 1.0132418574973725 root_relative_squared_error 1.0944262905356 root_relative_squared_error 0.9552935845579276 root_relative_squared_error 1.1078835791520962 root_relative_squared_error 1.133954995096847 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 0.6462962962962963 [0.7,0.592593] unweighted_recall 0.6977777777777778 [0.84,0.555556] unweighted_recall 0.6737037037037037 [0.94,0.407407] unweighted_recall 0.6451851851851852 [0.92,0.37037] unweighted_recall 0.6507407407407407 [0.82,0.481481] unweighted_recall 0.768888888888889 [0.76,0.777778] unweighted_recall 0.6877777777777778 [0.82,0.555556] unweighted_recall 0.7377777777777779 [0.92,0.555556] unweighted_recall 0.7161538461538461 [0.74,0.692308] unweighted_recall 0.6784615384615384 [0.78,0.576923] usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 wall_clock_time_millis 10.971307754516602 wall_clock_time_millis 9.997844696044922 wall_clock_time_millis 13.9923095703125 wall_clock_time_millis 17.990589141845703 wall_clock_time_millis 17.99178123474121 wall_clock_time_millis 16.989707946777344 wall_clock_time_millis 9.996652603149414 wall_clock_time_millis 12.991666793823242 wall_clock_time_millis 10.994195938110352 wall_clock_time_millis 12.012958526611328 wall_clock_time_millis_testing 1.9996166229248047 wall_clock_time_millis_testing 2.000093460083008 wall_clock_time_millis_testing 1.9993782043457031 wall_clock_time_millis_testing 2.0003318786621094 wall_clock_time_millis_testing 3.9980411529541016 wall_clock_time_millis_testing 2.0012855529785156 wall_clock_time_millis_testing 1.9986629486083984 wall_clock_time_millis_testing 3.9987564086914062 wall_clock_time_millis_testing 2.002716064453125 wall_clock_time_millis_testing 2.020120620727539 wall_clock_time_millis_training 8.971691131591797 wall_clock_time_millis_training 7.997751235961914 wall_clock_time_millis_training 11.992931365966797 wall_clock_time_millis_training 15.990257263183594 wall_clock_time_millis_training 13.99374008178711 wall_clock_time_millis_training 14.988422393798828 wall_clock_time_millis_training 7.997989654541016 wall_clock_time_millis_training 8.992910385131836 wall_clock_time_millis_training 8.991479873657227 wall_clock_time_millis_training 9.992837905883789 weighted_recall 0.6623376623376623 [0.7,0.592593] weighted_recall 0.7402597402597403 [0.84,0.555556] weighted_recall 0.7532467532467533 [0.94,0.407407] weighted_recall 0.7272727272727273 [0.92,0.37037] weighted_recall 0.7012987012987013 [0.82,0.481481] weighted_recall 0.7662337662337663 [0.76,0.777778] weighted_recall 0.7272727272727273 [0.82,0.555556] weighted_recall 0.7922077922077922 [0.92,0.555556] weighted_recall 0.7236842105263158 [0.74,0.692308] weighted_recall 0.7105263157894737 [0.78,0.576923]