10591584 32117 VAIBHAV JAISWAL 34539 Supervised Classification 19174 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1) 8304109 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 19174 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"}}] 19174 verbose false 19174 categorical_features null 19175 early_stopping "auto" 19175 l2_regularization 0.0 19175 learning_rate 0.1 19175 loss "auto" 19175 max_bins 255 19175 max_depth null 19175 max_iter 100 19175 max_leaf_nodes 31 19175 min_samples_leaf 20 19175 monotonic_cst null 19175 n_iter_no_change 10 19175 random_state 0 19175 scoring "loss" 19175 tol 1e-07 19175 validation_fraction 0.1 19175 verbose 0 19175 warm_start false 19175 openml-python Sklearn_1.0.2. 4135 Amazon_employee_access https://www.openml.org/data/download/1681098/phpmPOD5A -1 22110774 description https://api.openml.org/data/download/22110774/description.xml -1 22110775 predictions https://api.openml.org/data/download/22110775/predictions.arff area_under_roc_curve 0.834586135444148 [0.834586,0.834586] average_cost 0 f_measure 0.9273857055858078 [0.19891,0.972149] kappa 0.18585381375435692 kb_relative_information_score -0.14027656603319158 mean_absolute_error 0.0888588199427474 mean_prior_absolute_error 0.10910149339756714 weighted_recall 0.9461686349903873 [0.115445,0.997214] number_of_instances 32769 [1897,30872] precision 0.9349810958644821 [0.718033,0.948312] predictive_accuracy 0.9461686349903873 prior_entropy 0.3190117574285477 relative_absolute_error 0.8144601615941663 root_mean_prior_squared_error 0.23353547592409915 root_mean_squared_error 0.20801924136252692 root_relative_squared_error 0.8907393642845715 total_cost 0 unweighted_recall 0.5563298721962898 [0.115445,0.997214] area_under_roc_curve 0.8364885749924609 [0.836489,0.836489] area_under_roc_curve 0.8311633015324724 [0.831163,0.831163] area_under_roc_curve 0.8404864201319624 [0.840486,0.840486] area_under_roc_curve 0.835574480418734 [0.835574,0.835574] area_under_roc_curve 0.8301041719946124 [0.830104,0.830104] area_under_roc_curve 0.8312686478100012 [0.831269,0.831269] area_under_roc_curve 0.8327272262288374 [0.832727,0.832727] area_under_roc_curve 0.8159522957052495 [0.815952,0.815952] area_under_roc_curve 0.8449857637290504 [0.844986,0.844986] area_under_roc_curve 0.8498250900259323 [0.849825,0.849825] 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 0.9262069958984996 [0.176744,0.972078] f_measure 0.9242123266386987 [0.144231,0.971951] f_measure 0.9260118565337347 [0.193833,0.971076] f_measure 0.930483348395114 [0.24,0.972982] f_measure 0.9280574725239432 [0.208145,0.972367] f_measure 0.926616085344635 [0.190909,0.971898] f_measure 0.9270233459222325 [0.192661,0.972222] f_measure 0.9280574725239432 [0.208145,0.972367] f_measure 0.9280574725239432 [0.208145,0.972367] f_measure 0.9288548863249705 [0.221239,0.972178] kappa 0.16509794494816069 kappa 0.13511774317427572 kappa 0.17830174330895635 kappa 0.22603915610648823 kappa 0.1950516326355863 kappa 0.17790963159229856 kappa 0.18045431164084788 kappa 0.1950516326355863 kappa 0.1950516326355863 kappa 0.20624457935819543 kb_relative_information_score -0.14147522436630336 kb_relative_information_score -0.11453150587165695 kb_relative_information_score -0.1930378544467694 kb_relative_information_score -0.10059110529169075 kb_relative_information_score -0.1259112354112989 kb_relative_information_score -0.16575225370295943 kb_relative_information_score -0.1154871767605595 kb_relative_information_score -0.1732534350355978 kb_relative_information_score -0.14625571948047256 kb_relative_information_score -0.12632097408162576 mean_absolute_error 0.08946551882290193 mean_absolute_error 0.08813759351227787 mean_absolute_error 0.09105510010159686 mean_absolute_error 0.0875316455939026 mean_absolute_error 0.08795318315509518 mean_absolute_error 0.08863854145695114 mean_absolute_error 0.08802618439095078 mean_absolute_error 0.08947219723648406 mean_absolute_error 0.0893030531632982 mean_absolute_error 0.08900522667107258 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 0.9351964955253425 [0.730769,0.947708] precision 0.9375311919446794 [0.789474,0.946593] precision 0.9276491627422356 [0.594595,0.948148] precision 0.9393849428031359 [0.771429,0.949722] precision 0.9365724637616553 [0.741935,0.948552] precision 0.9335757360682883 [0.7,0.947952] precision 0.9365049108324028 [0.75,0.947984] precision 0.9365724637616553 [0.741935,0.948552] precision 0.9365724637616553 [0.741935,0.948552] precision 0.9335771993999841 [0.675676,0.949367] predictive_accuracy 0.9459871833994506 predictive_accuracy 0.9456820262435154 predictive_accuracy 0.9441562404638388 predictive_accuracy 0.9478181263350625 predictive_accuracy 0.9465974977113213 predictive_accuracy 0.9456820262435154 predictive_accuracy 0.946292340555386 predictive_accuracy 0.9465974977113213 predictive_accuracy 0.9465974977113213 predictive_accuracy 0.9462759462759464 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 0.8214548172699737 relative_absolute_error 0.8092620679544952 relative_absolute_error 0.8339839798796015 relative_absolute_error 0.8017122607779491 relative_absolute_error 0.8055731710680907 relative_absolute_error 0.8118504454172224 relative_absolute_error 0.8062417976595397 relative_absolute_error 0.8194859931689544 relative_absolute_error 0.8179367834358238 relative_absolute_error 0.8171117208094125 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 0.21073441683067692 root_mean_squared_error 0.20859459247164952 root_mean_squared_error 0.21047715779827447 root_mean_squared_error 0.20681579714399093 root_mean_squared_error 0.2052492042577441 root_mean_squared_error 0.20968571574541944 root_mean_squared_error 0.20702222158508912 root_mean_squared_error 0.20925414067475637 root_mean_squared_error 0.20621056057945766 root_mean_squared_error 0.20606326240686737 root_relative_squared_error 0.9039452531405437 root_relative_squared_error 0.8947664768353354 root_relative_squared_error 0.900608996687327 root_relative_squared_error 0.884942430396437 root_relative_squared_error 0.8782391488514988 root_relative_squared_error 0.8972225017317029 root_relative_squared_error 0.8858256982566358 root_relative_squared_error 0.8953758386759538 root_relative_squared_error 0.88235268858861 root_relative_squared_error 0.8837817838424633 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 0.5491311305754311 [0.100529,0.997733] unweighted_recall 0.5390348712887573 [0.079365,0.998705] unweighted_recall 0.5554651935962355 [0.115789,0.995141] unweighted_recall 0.5697568751811501 [0.142105,0.997408] unweighted_recall 0.5592305593916764 [0.121053,0.997408] unweighted_recall 0.553805431947215 [0.110526,0.997085] unweighted_recall 0.5541293710466643 [0.110526,0.997732] unweighted_recall 0.5592305593916764 [0.121053,0.997408] unweighted_recall 0.5592305593916764 [0.121053,0.997408] unweighted_recall 0.5641939315408703 [0.132275,0.996113] usercpu_time_millis 4843.75 usercpu_time_millis 4828.125 usercpu_time_millis 5171.875 usercpu_time_millis 5000 usercpu_time_millis 5625 usercpu_time_millis 5312.5 usercpu_time_millis 5765.625 usercpu_time_millis 5187.5 usercpu_time_millis 5140.625 usercpu_time_millis 5812.5 usercpu_time_millis_testing 62.5 usercpu_time_millis_testing 125 usercpu_time_millis_testing 125 usercpu_time_millis_testing 140.625 usercpu_time_millis_testing 125 usercpu_time_millis_testing 125 usercpu_time_millis_testing 171.875 usercpu_time_millis_testing 109.375 usercpu_time_millis_testing 125 usercpu_time_millis_testing 187.5 usercpu_time_millis_training 4781.25 usercpu_time_millis_training 4703.125 usercpu_time_millis_training 5046.875 usercpu_time_millis_training 4859.375 usercpu_time_millis_training 5500 usercpu_time_millis_training 5187.5 usercpu_time_millis_training 5593.75 usercpu_time_millis_training 5078.125 usercpu_time_millis_training 5015.625 usercpu_time_millis_training 5625 wall_clock_time_millis 1951.8589973449707 wall_clock_time_millis 1955.8777809143066 wall_clock_time_millis 1922.8973388671875 wall_clock_time_millis 1891.9157981872559 wall_clock_time_millis 1911.9040966033936 wall_clock_time_millis 1937.8907680511475 wall_clock_time_millis 1899.909496307373 wall_clock_time_millis 1970.8707332611084 wall_clock_time_millis 1948.882818222046 wall_clock_time_millis 1900.909423828125 wall_clock_time_millis_testing 58.96615982055664 wall_clock_time_millis_testing 50.97031593322754 wall_clock_time_millis_testing 50.97007751464844 wall_clock_time_millis_testing 45.972585678100586 wall_clock_time_millis_testing 46.97227478027344 wall_clock_time_millis_testing 53.969621658325195 wall_clock_time_millis_testing 46.97155952453613 wall_clock_time_millis_testing 49.970388412475586 wall_clock_time_millis_testing 47.97220230102539 wall_clock_time_millis_testing 48.97141456604004 wall_clock_time_millis_training 1892.892837524414 wall_clock_time_millis_training 1904.907464981079 wall_clock_time_millis_training 1871.927261352539 wall_clock_time_millis_training 1845.9432125091553 wall_clock_time_millis_training 1864.9318218231201 wall_clock_time_millis_training 1883.9211463928223 wall_clock_time_millis_training 1852.937936782837 wall_clock_time_millis_training 1920.9003448486328 wall_clock_time_millis_training 1900.9106159210205 wall_clock_time_millis_training 1851.938009262085 weighted_recall 0.9459871833994508 [0.100529,0.997733] weighted_recall 0.9456820262435154 [0.079365,0.998705] weighted_recall 0.9441562404638388 [0.115789,0.995141] weighted_recall 0.9478181263350626 [0.142105,0.997408] weighted_recall 0.9465974977113213 [0.121053,0.997408] weighted_recall 0.9456820262435154 [0.110526,0.997085] weighted_recall 0.946292340555386 [0.110526,0.997732] weighted_recall 0.9465974977113213 [0.121053,0.997408] weighted_recall 0.9465974977113213 [0.121053,0.997408] weighted_recall 0.9462759462759462 [0.132275,0.996113]