10591558 32117 VAIBHAV JAISWAL 34539 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. 4135 Amazon_employee_access https://www.openml.org/data/download/1681098/phpmPOD5A -1 22110722 description https://api.openml.org/data/download/22110722/description.xml -1 22110723 predictions https://api.openml.org/data/download/22110723/predictions.arff area_under_roc_curve 0.7587889895298464 [0.758789,0.758789] average_cost 0 f_measure 0.9160907865132142 [0.030021,0.970537] kappa 0.027981928463178117 kb_relative_information_score -0.33462067134962403 mean_absolute_error 0.10231808109045373 mean_prior_absolute_error 0.10910149339756714 weighted_recall 0.9428118038389942 [0.015287,0.999806] number_of_instances 32769 [1897,30872] precision 0.9363134969181104 [0.828571,0.942934] predictive_accuracy 0.9428118038389941 prior_entropy 0.3190117574285477 relative_absolute_error 0.9378247529353739 root_mean_prior_squared_error 0.23353547592409915 root_mean_squared_error 0.22388742576444573 root_relative_squared_error 0.9586870040987301 total_cost 0 unweighted_recall 0.5075464724309998 [0.015287,0.999806] area_under_roc_curve 0.7650248786906818 [0.765025,0.765025] area_under_roc_curve 0.7575844025002056 [0.757584,0.757584] area_under_roc_curve 0.7702027176785501 [0.770203,0.770203] area_under_roc_curve 0.7560823828278179 [0.756082,0.756082] area_under_roc_curve 0.7335694678874056 [0.733569,0.733569] area_under_roc_curve 0.7456038054319473 [0.745604,0.745604] area_under_roc_curve 0.764124597207304 [0.764125,0.764125] area_under_roc_curve 0.7522752459379742 [0.752275,0.752275] area_under_roc_curve 0.777961059110361 [0.777961,0.777961] area_under_roc_curve 0.7688111777842908 [0.768811,0.768811] 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 0.9165777254510373 [0.03125,0.970764] f_measure 0.9150950087205858 [0.010526,0.970459] f_measure 0.9175876281725792 [0.051282,0.970907] f_measure 0.9166966836122827 [0.041026,0.970593] f_measure 0.9159674535439633 [0.030928,0.97044] f_measure 0.9166966836122827 [0.041026,0.970593] f_measure 0.9168614168041339 [0.041237,0.970755] f_measure 0.9161292153754683 [0.031088,0.970602] f_measure 0.9152322016361684 [0.020725,0.970288] f_measure 0.9140132780283701 [0,0.969973] kappa 0.029500835920707184 kappa 0.009925239292119034 kappa 0.04845279109736918 kappa 0.038165794244367286 kappa 0.028605306061952687 kappa 0.038165794244367286 kappa 0.03893929216767705 kappa 0.029338482325157005 kappa 0.018957075719008475 kappa -0.001209677419354981 kb_relative_information_score -0.3243120053454577 kb_relative_information_score -0.2907715904466352 kb_relative_information_score -0.3800813531740204 kb_relative_information_score -0.3222764343300051 kb_relative_information_score -0.3804315687833179 kb_relative_information_score -0.33817735721703973 kb_relative_information_score -0.31402125933603525 kb_relative_information_score -0.3520006281550171 kb_relative_information_score -0.34004098012361217 kb_relative_information_score -0.3037641455423438 mean_absolute_error 0.10164430977275571 mean_absolute_error 0.10148557374349039 mean_absolute_error 0.10344476234300508 mean_absolute_error 0.102261829391634 mean_absolute_error 0.10363903696352493 mean_absolute_error 0.1023608496655771 mean_absolute_error 0.10140951027530452 mean_absolute_error 0.10251605014531881 mean_absolute_error 0.10249128143875619 mean_absolute_error 0.1019274879728785 mean_prior_absolute_error 0.10891106478653569 mean_prior_absolute_error 0.10891106478653569 mean_prior_absolute_error 0.10918087433135354 mean_prior_absolute_error 0.10918087433135354 mean_prior_absolute_error 0.10918087433135354 mean_prior_absolute_error 0.10918087433135354 mean_prior_absolute_error 0.10918087433135354 mean_prior_absolute_error 0.10918087433135354 mean_prior_absolute_error 0.10918087433135354 mean_prior_absolute_error 0.10892663072181365 number_of_instances 3277 [189,3088] number_of_instances 3277 [189,3088] number_of_instances 3277 [190,3087] number_of_instances 3277 [190,3087] number_of_instances 3277 [190,3087] number_of_instances 3277 [190,3087] number_of_instances 3277 [190,3087] number_of_instances 3277 [190,3087] number_of_instances 3277 [190,3087] number_of_instances 3276 [189,3087] precision 0.9464653312949756 [1,0.943189] precision 0.9459227240734717 [1,0.942613] precision 0.9467378588114688 [1,0.94346] precision 0.9348539834200432 [0.8,0.943154] precision 0.9316835360861623 [0.75,0.942866] precision 0.9348539834200432 [0.8,0.943154] precision 0.9464663164958003 [1,0.943171] precision 0.9461949400581495 [1,0.942883] precision 0.9265805925889747 [0.666667,0.942578] precision 0.8879105775104553 [0,0.942272] predictive_accuracy 0.9432407689960329 predictive_accuracy 0.9426304546841624 predictive_accuracy 0.9435459261519682 predictive_accuracy 0.9429356118400976 predictive_accuracy 0.9426304546841624 predictive_accuracy 0.9429356118400976 predictive_accuracy 0.9432407689960329 predictive_accuracy 0.9429356118400976 predictive_accuracy 0.942325297528227 predictive_accuracy 0.9416971916971917 prior_entropy 0.31814512654009053 prior_entropy 0.31814512654009053 prior_entropy 0.3193730160067579 prior_entropy 0.3193730160067579 prior_entropy 0.3193730160067579 prior_entropy 0.3193730160067579 prior_entropy 0.3193730160067579 prior_entropy 0.3193730160067579 prior_entropy 0.3193730160067579 prior_entropy 0.3182159663170137 relative_absolute_error 0.9332780831036521 relative_absolute_error 0.9318206000685132 relative_absolute_error 0.9474623003023414 relative_absolute_error 0.9366276833548622 relative_absolute_error 0.9492416835662109 relative_absolute_error 0.9375346212645421 relative_absolute_error 0.9288211959865456 relative_absolute_error 0.9389561200452781 relative_absolute_error 0.9387292606551669 relative_absolute_error 0.9357444299657981 root_mean_prior_squared_error 0.2331274113100656 root_mean_prior_squared_error 0.2331274113100656 root_mean_prior_squared_error 0.23370536889200969 root_mean_prior_squared_error 0.23370536889200969 root_mean_prior_squared_error 0.23370536889200969 root_mean_prior_squared_error 0.23370536889200969 root_mean_prior_squared_error 0.23370536889200969 root_mean_prior_squared_error 0.23370536889200969 root_mean_prior_squared_error 0.23370536889200969 root_mean_prior_squared_error 0.23316079395861228 root_mean_squared_error 0.22269011454567922 root_mean_squared_error 0.22545643764256926 root_mean_squared_error 0.223105865118491 root_mean_squared_error 0.22397953645106883 root_mean_squared_error 0.2252168020776621 root_mean_squared_error 0.2266575590919515 root_mean_squared_error 0.2220260872148719 root_mean_squared_error 0.2244986171340258 root_mean_squared_error 0.2222293908108027 root_mean_squared_error 0.22296579248670972 root_relative_squared_error 0.9552292169087552 root_relative_squared_error 0.9670953594672155 root_relative_squared_error 0.954645869610225 root_relative_squared_error 0.9583842147613006 root_relative_squared_error 0.9636783405764633 root_relative_squared_error 0.969843184033505 root_relative_squared_error 0.9500256167305489 root_relative_squared_error 0.9606053048689774 root_relative_squared_error 0.9508955308317723 root_relative_squared_error 0.9562748037574781 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 0.5079365079365079 [0.015873,1] unweighted_recall 0.5026455026455027 [0.005291,1] unweighted_recall 0.5131578947368421 [0.026316,1] unweighted_recall 0.510364346239749 [0.021053,0.999676] unweighted_recall 0.5077327672923806 [0.015789,0.999676] unweighted_recall 0.510364346239749 [0.021053,0.999676] unweighted_recall 0.5105263157894737 [0.021053,1] unweighted_recall 0.5078947368421053 [0.015789,1] unweighted_recall 0.5051011883450122 [0.010526,0.999676] unweighted_recall 0.4996760609005507 [0,0.999352] usercpu_time_millis 5187.5 usercpu_time_millis 5250 usercpu_time_millis 4937.5 usercpu_time_millis 5031.25 usercpu_time_millis 5031.25 usercpu_time_millis 5031.25 usercpu_time_millis 5015.625 usercpu_time_millis 4937.5 usercpu_time_millis 4968.75 usercpu_time_millis 5156.25 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 31.25 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 15.625 usercpu_time_millis_testing 31.25 usercpu_time_millis_training 5171.875 usercpu_time_millis_training 5218.75 usercpu_time_millis_training 4921.875 usercpu_time_millis_training 5015.625 usercpu_time_millis_training 5015.625 usercpu_time_millis_training 5015.625 usercpu_time_millis_training 5000 usercpu_time_millis_training 4921.875 usercpu_time_millis_training 4953.125 usercpu_time_millis_training 5125 wall_clock_time_millis 5224.007129669189 wall_clock_time_millis 5262.000560760498 wall_clock_time_millis 5000.131368637085 wall_clock_time_millis 5054.124116897583 wall_clock_time_millis 5074.090957641602 wall_clock_time_millis 5059.099912643433 wall_clock_time_millis 5075.084209442139 wall_clock_time_millis 4985.136985778809 wall_clock_time_millis 5020.121097564697 wall_clock_time_millis 5234.997987747192 wall_clock_time_millis_testing 19.98758316040039 wall_clock_time_millis_testing 23.98395538330078 wall_clock_time_millis_testing 17.987966537475586 wall_clock_time_millis_testing 19.006013870239258 wall_clock_time_millis_testing 16.989469528198242 wall_clock_time_millis_testing 20.989179611206055 wall_clock_time_millis_testing 17.986774444580078 wall_clock_time_millis_testing 19.986391067504883 wall_clock_time_millis_testing 17.990589141845703 wall_clock_time_millis_testing 23.986101150512695 wall_clock_time_millis_training 5204.019546508789 wall_clock_time_millis_training 5238.016605377197 wall_clock_time_millis_training 4982.143402099609 wall_clock_time_millis_training 5035.118103027344 wall_clock_time_millis_training 5057.101488113403 wall_clock_time_millis_training 5038.110733032227 wall_clock_time_millis_training 5057.097434997559 wall_clock_time_millis_training 4965.150594711304 wall_clock_time_millis_training 5002.130508422852 wall_clock_time_millis_training 5211.01188659668 weighted_recall 0.9432407689960329 [0.015873,1] weighted_recall 0.9426304546841623 [0.005291,1] weighted_recall 0.9435459261519683 [0.026316,1] weighted_recall 0.9429356118400977 [0.021053,0.999676] weighted_recall 0.9426304546841623 [0.015789,0.999676] weighted_recall 0.9429356118400977 [0.021053,0.999676] weighted_recall 0.9432407689960329 [0.021053,1] weighted_recall 0.9429356118400977 [0.015789,1] weighted_recall 0.942325297528227 [0.010526,0.999676] weighted_recall 0.9416971916971917 [0,0.999352]