10591274 32117 VAIBHAV JAISWAL 37 Supervised Classification 19157 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.linear_model._logistic.LogisticRegression)(1) 8304113 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 19157 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"}}] 19157 verbose false 19157 C 1.0 19158 class_weight null 19158 dual false 19158 fit_intercept true 19158 intercept_scaling 1 19158 l1_ratio null 19158 max_iter 5000 19158 multi_class "auto" 19158 n_jobs null 19158 penalty "l2" 19158 random_state 0 19158 solver "lbfgs" 19158 tol 0.0001 19158 verbose 0 19158 warm_start false 19158 openml-python Sklearn_1.0.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 22110154 description https://api.openml.org/data/download/22110154/description.xml -1 22110155 predictions https://api.openml.org/data/download/22110155/predictions.arff area_under_roc_curve 0.8302985074626865 [0.830299,0.830299] average_cost 0 f_measure 0.7712837601801246 [0.839319,0.644351] kappa 0.4870827833301905 kb_relative_information_score 0.3302308189416226 mean_absolute_error 0.3112472509968153 mean_prior_absolute_error 0.4544913419913401 weighted_recall 0.7786458333333334 [0.888,0.574627] number_of_instances 768 [500,268] precision 0.7739359318996416 [0.795699,0.733333] predictive_accuracy 0.7786458333333333 prior_entropy 0.9331348051619819 relative_absolute_error 0.6848254790357388 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.3962615271518511 root_relative_squared_error 0.8313627902789297 total_cost 0 unweighted_recall 0.7313134328358208 [0.888,0.574627] area_under_roc_curve 0.9155555555555555 [0.915556,0.915556] area_under_roc_curve 0.737037037037037 [0.737037,0.737037] area_under_roc_curve 0.8851851851851852 [0.885185,0.885185] area_under_roc_curve 0.8325925925925926 [0.832593,0.832593] area_under_roc_curve 0.8118518518518517 [0.811852,0.811852] area_under_roc_curve 0.8911111111111112 [0.891111,0.891111] area_under_roc_curve 0.8007407407407409 [0.800741,0.800741] area_under_roc_curve 0.8725925925925925 [0.872593,0.872593] area_under_roc_curve 0.8246153846153847 [0.824615,0.824615] area_under_roc_curve 0.7684615384615384 [0.768462,0.768462] 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 0.8441558441558441 [0.88,0.777778] f_measure 0.6727523684045422 [0.777778,0.478261] f_measure 0.7851016907620681 [0.849057,0.666667] f_measure 0.7339118036792455 [0.828829,0.55814] f_measure 0.7851016907620681 [0.849057,0.666667] f_measure 0.8304118821585662 [0.871287,0.754717] f_measure 0.7878921078921078 [0.846154,0.68] f_measure 0.7937567020135827 [0.862385,0.666667] f_measure 0.7781321991848308 [0.851852,0.636364] f_measure 0.6884765104249988 [0.780952,0.510638] kappa 0.6577777777777777 kappa 0.2655007949125597 kappa 0.5191256830601093 kappa 0.4021250510829588 kappa 0.5191256830601093 kappa 0.6260739633918567 kappa 0.5276073619631902 kappa 0.5367027677496993 kappa 0.4950166112956811 kappa 0.29516129032258054 kb_relative_information_score 0.4376775537035651 kb_relative_information_score 0.2253136869802951 kb_relative_information_score 0.35508545055106105 kb_relative_information_score 0.3020034876711093 kb_relative_information_score 0.3222572081206853 kb_relative_information_score 0.3764647340881997 kb_relative_information_score 0.33457747763686674 kb_relative_information_score 0.3662881492016593 kb_relative_information_score 0.33012512500761587 kb_relative_information_score 0.25083933642770556 mean_absolute_error 0.2724686429227813 mean_absolute_error 0.3508238710367217 mean_absolute_error 0.30444848280768944 mean_absolute_error 0.32001625580718607 mean_absolute_error 0.31805010765352315 mean_absolute_error 0.29641059849558893 mean_absolute_error 0.30924025135772254 mean_absolute_error 0.2985399012068318 mean_absolute_error 0.30693638222643427 mean_absolute_error 0.3358009098311272 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 0.8441558441558441 [0.88,0.777778] precision 0.6732269545336695 [0.724138,0.578947] precision 0.788961038961039 [0.803571,0.761905] precision 0.7526612731530764 [0.754098,0.75] precision 0.788961038961039 [0.803571,0.761905] precision 0.8299543593661242 [0.862745,0.769231] precision 0.788276136102223 [0.814815,0.73913] precision 0.8094871230464451 [0.79661,0.833333] precision 0.7878604557370438 [0.793103,0.777778] precision 0.6859193438140806 [0.745455,0.571429] predictive_accuracy 0.8441558441558442 predictive_accuracy 0.6883116883116882 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.8311688311688311 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.8051948051948052 predictive_accuracy 0.7894736842105263 predictive_accuracy 0.6973684210526316 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 0.5988310723539193 relative_absolute_error 0.7710400457340402 relative_absolute_error 0.6691163044692844 relative_absolute_error 0.7033311267675443 relative_absolute_error 0.6990099300432725 relative_absolute_error 0.6514506574045833 relative_absolute_error 0.6796476444007616 relative_absolute_error 0.6561304349094798 relative_absolute_error 0.6784226124751059 relative_absolute_error 0.7422219838086391 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 0.3423798956816317 root_mean_squared_error 0.4555950476081827 root_mean_squared_error 0.37635596700981755 root_mean_squared_error 0.40573485206760973 root_mean_squared_error 0.39606915769247036 root_mean_squared_error 0.3587430799842378 root_mean_squared_error 0.4068833690744238 root_mean_squared_error 0.3782507891505077 root_mean_squared_error 0.39782565560425703 root_mean_squared_error 0.43257742863509 root_relative_squared_error 0.7175141789979373 root_relative_squared_error 0.9547754136945054 root_relative_squared_error 0.7887167035389442 root_relative_squared_error 0.8502850574580595 root_relative_squared_error 0.8300289826957961 root_relative_squared_error 0.7518059610177374 root_relative_squared_error 0.852691966413881 root_relative_squared_error 0.7926876193835141 root_relative_squared_error 0.8384633063002362 root_relative_squared_error 0.9117066632953243 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 0.8288888888888889 [0.88,0.777778] unweighted_recall 0.6237037037037036 [0.84,0.407407] unweighted_recall 0.7462962962962962 [0.9,0.592593] unweighted_recall 0.6822222222222223 [0.92,0.444444] unweighted_recall 0.7462962962962962 [0.9,0.592593] unweighted_recall 0.8103703703703704 [0.88,0.740741] unweighted_recall 0.7548148148148148 [0.88,0.62963] unweighted_recall 0.7477777777777778 [0.94,0.555556] unweighted_recall 0.7292307692307692 [0.92,0.538462] unweighted_recall 0.6407692307692308 [0.82,0.461538] usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 31.25 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 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 15.625 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 15.625 usercpu_time_millis_training 15.625 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 wall_clock_time_millis 13.014793395996094 wall_clock_time_millis 11.992692947387695 wall_clock_time_millis 14.010906219482422 wall_clock_time_millis 13.992071151733398 wall_clock_time_millis 11.993646621704102 wall_clock_time_millis 11.993646621704102 wall_clock_time_millis 26.003360748291016 wall_clock_time_millis 22.966384887695312 wall_clock_time_millis 13.99374008178711 wall_clock_time_millis 12.98975944519043 wall_clock_time_millis_testing 1.9996166229248047 wall_clock_time_millis_testing 1.9989013671875 wall_clock_time_millis_testing 1.9989013671875 wall_clock_time_millis_testing 1.9998550415039062 wall_clock_time_millis_testing 1.9993782043457031 wall_clock_time_millis_testing 1.9996166229248047 wall_clock_time_millis_testing 4.019498825073242 wall_clock_time_millis_testing 2.995729446411133 wall_clock_time_millis_testing 2.0008087158203125 wall_clock_time_millis_testing 1.9993782043457031 wall_clock_time_millis_training 11.015176773071289 wall_clock_time_millis_training 9.993791580200195 wall_clock_time_millis_training 12.012004852294922 wall_clock_time_millis_training 11.992216110229492 wall_clock_time_millis_training 9.994268417358398 wall_clock_time_millis_training 9.994029998779297 wall_clock_time_millis_training 21.983861923217773 wall_clock_time_millis_training 19.97065544128418 wall_clock_time_millis_training 11.992931365966797 wall_clock_time_millis_training 10.990381240844727 weighted_recall 0.8441558441558441 [0.88,0.777778] weighted_recall 0.6883116883116883 [0.84,0.407407] weighted_recall 0.7922077922077922 [0.9,0.592593] weighted_recall 0.7532467532467533 [0.92,0.444444] weighted_recall 0.7922077922077922 [0.9,0.592593] weighted_recall 0.8311688311688312 [0.88,0.740741] weighted_recall 0.7922077922077922 [0.88,0.62963] weighted_recall 0.8051948051948052 [0.94,0.555556] weighted_recall 0.7894736842105263 [0.92,0.538462] weighted_recall 0.6973684210526315 [0.82,0.461538]