10591559 32117 VAIBHAV JAISWAL 34539 Supervised Classification 19172 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._forest.ExtraTreesClassifier)(1) 8304108 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 19172 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"}}] 19172 verbose false 19172 bootstrap false 19173 ccp_alpha 0.0 19173 class_weight null 19173 criterion "gini" 19173 max_depth null 19173 max_features "auto" 19173 max_leaf_nodes null 19173 max_samples null 19173 min_impurity_decrease 0.0 19173 min_samples_leaf 1 19173 min_samples_split 2 19173 min_weight_fraction_leaf 0.0 19173 n_estimators 100 19173 n_jobs null 19173 oob_score false 19173 random_state 0 19173 verbose 0 19173 warm_start false 19173 openml-python Sklearn_1.0.2. 4135 Amazon_employee_access https://www.openml.org/data/download/1681098/phpmPOD5A -1 22110724 description https://api.openml.org/data/download/22110724/description.xml -1 22110725 predictions https://api.openml.org/data/download/22110725/predictions.arff area_under_roc_curve 0.8032511816437158 [0.803251,0.803251] average_cost 0 f_measure 0.9415041485493042 [0.466276,0.970706] kappa 0.43737289858618444 kb_relative_information_score -0.04814918340581267 mean_absolute_error 0.07189020110470133 mean_prior_absolute_error 0.10910149339756714 weighted_recall 0.9444597027678598 [0.419083,0.976743] number_of_instances 32769 [1897,30872] precision 0.9393118524160816 [0.525446,0.964743] predictive_accuracy 0.9444597027678598 prior_entropy 0.3190117574285477 relative_absolute_error 0.6589295789264092 root_mean_prior_squared_error 0.23353547592409915 root_mean_squared_error 0.21619848147671727 root_relative_squared_error 0.9257629087025027 total_cost 0 unweighted_recall 0.6979127208534144 [0.419083,0.976743] area_under_roc_curve 0.8081222414123967 [0.808122,0.808122] area_under_roc_curve 0.8133284329851688 [0.813328,0.813328] area_under_roc_curve 0.7887056075563056 [0.788706,0.788706] area_under_roc_curve 0.803386868531874 [0.803387,0.803387] area_under_roc_curve 0.8110633727175081 [0.811063,0.811063] area_under_roc_curve 0.8079160486249637 [0.807916,0.807916] area_under_roc_curve 0.8078248341943294 [0.807825,0.807825] area_under_roc_curve 0.7726791468467086 [0.772679,0.772679] area_under_roc_curve 0.8104802823384993 [0.81048,0.81048] area_under_roc_curve 0.8090036216048526 [0.809004,0.809004] 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 0.939545213854229 [0.44898,0.96957] f_measure 0.9441704953048781 [0.486647,0.972173] f_measure 0.9390404776337681 [0.451429,0.969052] f_measure 0.9416031670145105 [0.457317,0.97141] f_measure 0.9453182937519278 [0.504348,0.972459] f_measure 0.9401394895956185 [0.451039,0.970243] f_measure 0.9422593112053586 [0.463415,0.971731] f_measure 0.939316774592033 [0.459384,0.968856] f_measure 0.9405522334326822 [0.455621,0.970399] f_measure 0.943056001883479 [0.48415,0.971152] kappa 0.4188838608405526 kappa 0.4592538188963233 kappa 0.42072089490401904 kappa 0.4294827154504621 kappa 0.47710618523512505 kappa 0.42179174030438166 kappa 0.4358930220184348 kappa 0.4283763350382181 kappa 0.42650177955574853 kappa 0.4555451567618152 kb_relative_information_score -0.12323095480610113 kb_relative_information_score -0.01046535264517894 kb_relative_information_score -0.10775790144272605 kb_relative_information_score -0.03138229876011309 kb_relative_information_score -0.01016079889605656 kb_relative_information_score -0.01918021063678769 kb_relative_information_score 0.011065599454730242 kb_relative_information_score -0.11363723571501996 kb_relative_information_score -0.07551624266992917 kb_relative_information_score -0.0011857994032832774 mean_absolute_error 0.07602685382972262 mean_absolute_error 0.06932560268538326 mean_absolute_error 0.07450717119316481 mean_absolute_error 0.07110466890448613 mean_absolute_error 0.06958498626792826 mean_absolute_error 0.07093683246872162 mean_absolute_error 0.0694140982606045 mean_absolute_error 0.07523954836740937 mean_absolute_error 0.07246566981995747 mean_absolute_error 0.07029609279609297 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 0.9373680815777026 [0.5,0.964137] precision 0.9420562287452326 [0.554054,0.965804] precision 0.9371012618057492 [0.49375,0.964389] precision 0.9390192050267441 [0.543478,0.963364] precision 0.9434848549925243 [0.56129,0.967008] precision 0.9376861234978059 [0.517007,0.963578] precision 0.9397394509251027 [0.550725,0.963683] precision 0.9377760534025082 [0.491018,0.965273] precision 0.9381654348107541 [0.52027,0.963886] precision 0.9412469325641921 [0.531646,0.966325] predictive_accuracy 0.942325297528227 predictive_accuracy 0.9472078120231919 predictive_accuracy 0.9414098260604211 predictive_accuracy 0.9456820262435154 predictive_accuracy 0.9478181263350625 predictive_accuracy 0.9435459261519682 predictive_accuracy 0.946292340555386 predictive_accuracy 0.9411046689044857 predictive_accuracy 0.9438510833079036 predictive_accuracy 0.9453601953601953 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 0.6980636354876733 relative_absolute_error 0.6365340640205893 relative_absolute_error 0.6824196238531911 relative_absolute_error 0.6512557198313895 relative_absolute_error 0.6373367743579746 relative_absolute_error 0.6497184868975779 relative_absolute_error 0.6357715917344584 relative_absolute_error 0.6891275493825458 relative_absolute_error 0.663721281440109 relative_absolute_error 0.6453526775800243 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 0.22095639205395892 root_mean_squared_error 0.21235330789181744 root_mean_squared_error 0.22157080632484313 root_mean_squared_error 0.2132159983371388 root_mean_squared_error 0.21085762941862093 root_mean_squared_error 0.2163684794262513 root_mean_squared_error 0.21444487310461538 root_mean_squared_error 0.2232460884097079 root_mean_squared_error 0.21466006651503813 root_mean_squared_error 0.21393123916710996 root_relative_squared_error 0.9477924145096824 root_relative_squared_error 0.9108894861333229 root_relative_squared_error 0.948077519037341 root_relative_squared_error 0.9123281991679935 root_relative_squared_error 0.9022369936056274 root_relative_squared_error 0.925817324831038 root_relative_squared_error 0.9175864214044044 root_relative_squared_error 0.9552458699092412 root_relative_squared_error 0.9185072107360445 root_relative_squared_error 0.9175266370257955 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 0.6912360871233928 [0.407407,0.975065] unweighted_recall 0.7062446884338076 [0.433862,0.978627] unweighted_recall 0.6947752033144085 [0.415789,0.973761] unweighted_recall 0.6871643394199785 [0.394737,0.979592] unweighted_recall 0.7179334390397762 [0.457895,0.977972] unweighted_recall 0.6885001619695497 [0.4,0.977] unweighted_recall 0.6899578879170716 [0.4,0.979916] unweighted_recall 0.7020220619576152 [0.431579,0.972465] unweighted_recall 0.6911317409169181 [0.405263,0.977] unweighted_recall 0.7102364755425981 [0.444444,0.976029] usercpu_time_millis 3343.75 usercpu_time_millis 3390.625 usercpu_time_millis 3187.5 usercpu_time_millis 3078.125 usercpu_time_millis 3156.25 usercpu_time_millis 3156.25 usercpu_time_millis 3265.625 usercpu_time_millis 3218.75 usercpu_time_millis 3218.75 usercpu_time_millis 3281.25 usercpu_time_millis_testing 140.625 usercpu_time_millis_testing 140.625 usercpu_time_millis_testing 140.625 usercpu_time_millis_testing 140.625 usercpu_time_millis_testing 140.625 usercpu_time_millis_testing 140.625 usercpu_time_millis_testing 140.625 usercpu_time_millis_testing 140.625 usercpu_time_millis_testing 140.625 usercpu_time_millis_testing 140.625 usercpu_time_millis_training 3203.125 usercpu_time_millis_training 3250 usercpu_time_millis_training 3046.875 usercpu_time_millis_training 2937.5 usercpu_time_millis_training 3015.625 usercpu_time_millis_training 3015.625 usercpu_time_millis_training 3125 usercpu_time_millis_training 3078.125 usercpu_time_millis_training 3078.125 usercpu_time_millis_training 3140.625 wall_clock_time_millis 3393.0304050445557 wall_clock_time_millis 3393.073081970215 wall_clock_time_millis 3263.124465942383 wall_clock_time_millis 3135.199785232544 wall_clock_time_millis 3198.1470584869385 wall_clock_time_millis 3180.1583766937256 wall_clock_time_millis 3290.090560913086 wall_clock_time_millis 3215.1598930358887 wall_clock_time_millis 3242.1438694000244 wall_clock_time_millis 3285.1178646087646 wall_clock_time_millis_testing 141.91865921020508 wall_clock_time_millis_testing 138.94033432006836 wall_clock_time_millis_testing 148.9124298095703 wall_clock_time_millis_testing 143.91446113586426 wall_clock_time_millis_testing 145.89858055114746 wall_clock_time_millis_testing 137.9227638244629 wall_clock_time_millis_testing 148.89264106750488 wall_clock_time_millis_testing 143.91756057739258 wall_clock_time_millis_testing 141.89887046813965 wall_clock_time_millis_testing 138.92245292663574 wall_clock_time_millis_training 3251.1117458343506 wall_clock_time_millis_training 3254.1327476501465 wall_clock_time_millis_training 3114.2120361328125 wall_clock_time_millis_training 2991.2853240966797 wall_clock_time_millis_training 3052.248477935791 wall_clock_time_millis_training 3042.2356128692627 wall_clock_time_millis_training 3141.197919845581 wall_clock_time_millis_training 3071.242332458496 wall_clock_time_millis_training 3100.2449989318848 wall_clock_time_millis_training 3146.195411682129 weighted_recall 0.942325297528227 [0.407407,0.975065] weighted_recall 0.9472078120231919 [0.433862,0.978627] weighted_recall 0.9414098260604211 [0.415789,0.973761] weighted_recall 0.9456820262435154 [0.394737,0.979592] weighted_recall 0.9478181263350626 [0.457895,0.977972] weighted_recall 0.9435459261519683 [0.4,0.977] weighted_recall 0.946292340555386 [0.4,0.979916] weighted_recall 0.9411046689044859 [0.431579,0.972465] weighted_recall 0.9438510833079036 [0.405263,0.977] weighted_recall 0.9453601953601953 [0.444444,0.976029]