10591282 32117 VAIBHAV JAISWAL 37 Supervised Classification 19170 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._gb.GradientBoostingClassifier)(1) 8304107 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 19170 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"}}] 19170 verbose false 19170 ccp_alpha 0.0 19171 criterion "friedman_mse" 19171 init null 19171 learning_rate 0.1 19171 loss "deviance" 19171 max_depth 3 19171 max_features null 19171 max_leaf_nodes null 19171 min_impurity_decrease 0.0 19171 min_samples_leaf 1 19171 min_samples_split 2 19171 min_weight_fraction_leaf 0.0 19171 n_estimators 100 19171 n_iter_no_change null 19171 random_state 0 19171 subsample 1.0 19171 tol 0.0001 19171 validation_fraction 0.1 19171 verbose 0 19171 warm_start false 19171 openml-python Sklearn_1.0.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 22110170 description https://api.openml.org/data/download/22110170/description.xml -1 22110171 predictions https://api.openml.org/data/download/22110171/predictions.arff area_under_roc_curve 0.8348134328358209 [0.834813,0.834813] average_cost 0 f_measure 0.7697576365817644 [0.831395,0.654762] kappa 0.48716689180891565 kb_relative_information_score 0.3654183162337834 mean_absolute_error 0.2913023399119143 mean_prior_absolute_error 0.4544913419913401 weighted_recall 0.7734375 [0.858,0.615672] number_of_instances 768 [500,268] precision 0.768969231872053 [0.806391,0.699153] predictive_accuracy 0.7734375 prior_entropy 0.9331348051619819 relative_absolute_error 0.6409414503598283 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.396427301086436 root_relative_squared_error 0.8317105865482334 total_cost 0 unweighted_recall 0.7368358208955224 [0.858,0.615672] area_under_roc_curve 0.9362962962962963 [0.936296,0.936296] area_under_roc_curve 0.7785185185185184 [0.778519,0.778519] area_under_roc_curve 0.8614814814814816 [0.861481,0.861481] area_under_roc_curve 0.8266666666666667 [0.826667,0.826667] area_under_roc_curve 0.822962962962963 [0.822963,0.822963] area_under_roc_curve 0.8414814814814815 [0.841481,0.841481] area_under_roc_curve 0.8325925925925926 [0.832593,0.832593] area_under_roc_curve 0.8466666666666666 [0.846667,0.846667] area_under_roc_curve 0.83 [0.83,0.83] area_under_roc_curve 0.7653846153846153 [0.765385,0.765385] 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 0.868905604199722 [0.901961,0.807692] f_measure 0.6931707748034278 [0.780952,0.530612] f_measure 0.7902489667195549 [0.843137,0.692308] f_measure 0.7732131813764467 [0.838095,0.653061] f_measure 0.7521404431548276 [0.811881,0.641509] f_measure 0.7348651348651349 [0.807692,0.6] f_measure 0.7878921078921078 [0.846154,0.68] f_measure 0.8119639794168095 [0.867925,0.708333] f_measure 0.7697435077054338 [0.838095,0.638298] f_measure 0.7129331264669612 [0.77551,0.592593] kappa 0.7098718914845515 kappa 0.3148936170212767 kappa 0.5357950263752826 kappa 0.4936170212765959 kappa 0.4534927157265597 kappa 0.4095092024539878 kappa 0.5276073619631902 kappa 0.5792349726775957 kappa 0.47903225806451605 kappa 0.36858006042296065 kb_relative_information_score 0.5247553351498615 kb_relative_information_score 0.2816187837710464 kb_relative_information_score 0.38645392626148906 kb_relative_information_score 0.31922650368877475 kb_relative_information_score 0.31439923997068475 kb_relative_information_score 0.3586661143187995 kb_relative_information_score 0.37993541520190843 kb_relative_information_score 0.4396322690352092 kb_relative_information_score 0.36506134127121975 kb_relative_information_score 0.28268244888398586 mean_absolute_error 0.23108773742247393 mean_absolute_error 0.3196028251957911 mean_absolute_error 0.28343207583174895 mean_absolute_error 0.311735483109739 mean_absolute_error 0.31017934894619476 mean_absolute_error 0.29609648529180504 mean_absolute_error 0.28691150166028045 mean_absolute_error 0.2612250747492316 mean_absolute_error 0.29150786530588635 mean_absolute_error 0.3216416882782034 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 0.868971028971029 [0.884615,0.84] precision 0.6912632821723731 [0.745455,0.590909] precision 0.7894305694305694 [0.826923,0.72] precision 0.7744982290436836 [0.8,0.727273] precision 0.7512977218859571 [0.803922,0.653846] precision 0.7337348641696468 [0.777778,0.652174] precision 0.788276136102223 [0.814815,0.73913] precision 0.8172541743970315 [0.821429,0.809524] precision 0.7706766917293233 [0.8,0.714286] precision 0.7163220551378445 [0.791667,0.571429] predictive_accuracy 0.8701298701298701 predictive_accuracy 0.7012987012987013 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.7402597402597402 predictive_accuracy 0.7922077922077922 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 0.5078841958623443 relative_absolute_error 0.7024224897452804 relative_absolute_error 0.6229264846374457 relative_absolute_error 0.6851316600651073 relative_absolute_error 0.6817115913192668 relative_absolute_error 0.6507602999944804 relative_absolute_error 0.6305735601971311 relative_absolute_error 0.5741199793113364 relative_absolute_error 0.6443209048836849 relative_absolute_error 0.7109258044281777 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 0.31501884692951054 root_mean_squared_error 0.4436254227505043 root_mean_squared_error 0.38480991434208484 root_mean_squared_error 0.40638850120072906 root_mean_squared_error 0.39711750450303873 root_mean_squared_error 0.3847847770662932 root_mean_squared_error 0.4017348480617418 root_mean_squared_error 0.37951173706546354 root_mean_squared_error 0.38981938603813826 root_mean_squared_error 0.44678691298166234 root_relative_squared_error 0.66017453762438 root_relative_squared_error 0.9296910683196926 root_relative_squared_error 0.8064333602583094 root_relative_squared_error 0.8516548882425719 root_relative_squared_error 0.8322259682973967 root_relative_squared_error 0.8063806809040909 root_relative_squared_error 0.8419023818790952 root_relative_squared_error 0.7953301460603724 root_relative_squared_error 0.8215891727269689 root_relative_squared_error 0.9416547851879463 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 0.8488888888888889 [0.92,0.777778] unweighted_recall 0.6507407407407407 [0.82,0.481481] unweighted_recall 0.7633333333333333 [0.86,0.666667] unweighted_recall 0.7362962962962962 [0.88,0.592593] unweighted_recall 0.7248148148148148 [0.82,0.62963] unweighted_recall 0.6977777777777778 [0.84,0.555556] unweighted_recall 0.7548148148148148 [0.88,0.62963] unweighted_recall 0.7748148148148148 [0.92,0.62963] unweighted_recall 0.7284615384615385 [0.88,0.576923] unweighted_recall 0.6876923076923077 [0.76,0.615385] usercpu_time_millis 218.75 usercpu_time_millis 218.75 usercpu_time_millis 187.5 usercpu_time_millis 187.5 usercpu_time_millis 187.5 usercpu_time_millis 203.125 usercpu_time_millis 187.5 usercpu_time_millis 187.5 usercpu_time_millis 203.125 usercpu_time_millis 187.5 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_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 218.75 usercpu_time_millis_training 218.75 usercpu_time_millis_training 187.5 usercpu_time_millis_training 187.5 usercpu_time_millis_training 187.5 usercpu_time_millis_training 203.125 usercpu_time_millis_training 187.5 usercpu_time_millis_training 187.5 usercpu_time_millis_training 203.125 usercpu_time_millis_training 187.5 wall_clock_time_millis 215.85607528686523 wall_clock_time_millis 306.8063259124756 wall_clock_time_millis 181.89239501953125 wall_clock_time_millis 186.91492080688477 wall_clock_time_millis 184.91721153259277 wall_clock_time_millis 206.88271522521973 wall_clock_time_millis 196.8858242034912 wall_clock_time_millis 194.89336013793945 wall_clock_time_millis 189.9104118347168 wall_clock_time_millis 193.9108371734619 wall_clock_time_millis_testing 4.997730255126953 wall_clock_time_millis_testing 2.0036697387695312 wall_clock_time_millis_testing 1.9998550415039062 wall_clock_time_millis_testing 1.9993782043457031 wall_clock_time_millis_testing 2.9993057250976562 wall_clock_time_millis_testing 2.999544143676758 wall_clock_time_millis_testing 2.0003318786621094 wall_clock_time_millis_testing 3.000020980834961 wall_clock_time_millis_testing 1.9991397857666016 wall_clock_time_millis_testing 2.998828887939453 wall_clock_time_millis_training 210.85834503173828 wall_clock_time_millis_training 304.80265617370605 wall_clock_time_millis_training 179.89253997802734 wall_clock_time_millis_training 184.91554260253906 wall_clock_time_millis_training 181.91790580749512 wall_clock_time_millis_training 203.88317108154297 wall_clock_time_millis_training 194.8854923248291 wall_clock_time_millis_training 191.8933391571045 wall_clock_time_millis_training 187.9112720489502 wall_clock_time_millis_training 190.91200828552246 weighted_recall 0.8701298701298701 [0.92,0.777778] weighted_recall 0.7012987012987013 [0.82,0.481481] weighted_recall 0.7922077922077922 [0.86,0.666667] weighted_recall 0.7792207792207793 [0.88,0.592593] weighted_recall 0.7532467532467533 [0.82,0.62963] weighted_recall 0.7402597402597403 [0.84,0.555556] weighted_recall 0.7922077922077922 [0.88,0.62963] weighted_recall 0.8181818181818182 [0.92,0.62963] weighted_recall 0.7763157894736842 [0.88,0.576923] weighted_recall 0.7105263157894737 [0.76,0.615385]