10591058 32117 VAIBHAV JAISWAL 34539 Supervised Classification 19161 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.neighbors._classification.KNeighborsClassifier)(1) 8304079 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 algorithm "auto" 19154 leaf_size 30 19154 metric "minkowski" 19154 metric_params null 19154 n_jobs null 19154 n_neighbors 5 19154 p 2 19154 weights "uniform" 19154 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 19161 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"}}] 19161 verbose false 19161 openml-python Sklearn_1.0.2. 4135 Amazon_employee_access https://www.openml.org/data/download/1681098/phpmPOD5A -1 22109712 description https://api.openml.org/data/download/22109712/description.xml -1 22109713 predictions https://api.openml.org/data/download/22109713/predictions.arff area_under_roc_curve 0.7060310786538064 [0.706031,0.706031] average_cost 0 f_measure 0.9218045940899435 [0.177062,0.967567] kappa 0.15388224354736602 kb_relative_information_score -0.6735097748429284 mean_absolute_error 0.09176966034971769 mean_prior_absolute_error 0.10910149339756714 weighted_recall 0.9375934572309195 [0.115973,0.98808] number_of_instances 32769 [1897,30872] precision 0.9146747185107625 [0.37415,0.947889] predictive_accuracy 0.9375934572309194 prior_entropy 0.3190117574285477 relative_absolute_error 0.8411402767449567 root_mean_prior_squared_error 0.23353547592409915 root_mean_squared_error 0.23388655464369784 root_relative_squared_error 1.0015033207190875 total_cost 0 unweighted_recall 0.5520262008602391 [0.115973,0.98808] area_under_roc_curve 0.7035494969432793 [0.703549,0.703549] area_under_roc_curve 0.7268338610631357 [0.726834,0.726834] area_under_roc_curve 0.7015719571036434 [0.701572,0.701572] area_under_roc_curve 0.7045641314169779 [0.704564,0.704564] area_under_roc_curve 0.6887593132491092 [0.688759,0.688759] area_under_roc_curve 0.693764172335601 [0.693764,0.693764] area_under_roc_curve 0.7155115680357356 [0.715512,0.715512] area_under_roc_curve 0.715805670639183 [0.715806,0.715806] area_under_roc_curve 0.7039972379929416 [0.703997,0.703997] area_under_roc_curve 0.7061915217082044 [0.706192,0.706192] 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 0.918622423543374 [0.160305,0.965035] f_measure 0.9234494346438553 [0.182573,0.968795] f_measure 0.9212465822152315 [0.175299,0.967158] f_measure 0.9239646606887232 [0.195918,0.968775] f_measure 0.923764484127455 [0.195122,0.968611] f_measure 0.9180153941042345 [0.142857,0.965725] f_measure 0.9230118715943412 [0.181818,0.968631] f_measure 0.9233651016409542 [0.193548,0.968284] f_measure 0.9191403691987687 [0.162791,0.965693] f_measure 0.9236241103636541 [0.183333,0.968948] kappa 0.13242195961394965 kappa 0.16170865899407932 kappa 0.15138356683642928 kappa 0.17442724418612027 kappa 0.1732992551556832 kappa 0.11768489387268649 kappa 0.16091062159079508 kappa 0.17106807511737113 kappa 0.13639635638693687 kappa 0.1628059799572862 kb_relative_information_score -0.774977154146662 kb_relative_information_score -0.6145040065229384 kb_relative_information_score -0.6686375209034152 kb_relative_information_score -0.5996619207816759 kb_relative_information_score -0.67484414846972 kb_relative_information_score -0.6572695262254677 kb_relative_information_score -0.6360089319828371 kb_relative_information_score -0.6428461109713206 kb_relative_information_score -0.798636251091401 kb_relative_information_score -0.6678532160511239 mean_absolute_error 0.0962465669819959 mean_absolute_error 0.0886176380836134 mean_absolute_error 0.09191333536771464 mean_absolute_error 0.08819041806530396 mean_absolute_error 0.0916081782117794 mean_absolute_error 0.09209642966127583 mean_absolute_error 0.08983826670735463 mean_absolute_error 0.09111992676228284 mean_absolute_error 0.09716203844980174 mean_absolute_error 0.09090354090354116 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 0.9095063350678804 [0.287671,0.947566] precision 0.9179297534413884 [0.423077,0.948217] precision 0.9137209020854696 [0.360656,0.947761] precision 0.9187868166529328 [0.436364,0.948479] precision 0.9183199576637249 [0.428571,0.948463] precision 0.9084556578544838 [0.290323,0.946501] precision 0.9174774039041554 [0.423077,0.947907] precision 0.9174329486115919 [0.413793,0.948431] precision 0.9103147772726145 [0.308824,0.947336] precision 0.9183991020379529 [0.431373,0.948217] predictive_accuracy 0.9328654256942325 predictive_accuracy 0.9398840402807446 predictive_accuracy 0.9368324687213915 predictive_accuracy 0.9398840402807446 predictive_accuracy 0.9395788831248093 predictive_accuracy 0.9340860543179736 predictive_accuracy 0.9395788831248093 predictive_accuracy 0.9389685688129387 predictive_accuracy 0.9340860543179736 predictive_accuracy 0.9401709401709403 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 0.8837170692494648 relative_absolute_error 0.8136697428980504 relative_absolute_error 0.8418446539342268 relative_absolute_error 0.8077460324933327 relative_absolute_error 0.8390496849636624 relative_absolute_error 0.8435216353165661 relative_absolute_error 0.8228388649343847 relative_absolute_error 0.8345777346107575 relative_absolute_error 0.889918120227946 relative_absolute_error 0.8345391783548192 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 0.23806256950706248 root_mean_squared_error 0.22797887358020977 root_mean_squared_error 0.23576986135885833 root_mean_squared_error 0.23045509631809108 root_mean_squared_error 0.23481012528081288 root_mean_squared_error 0.23775472984875826 root_mean_squared_error 0.2306404028409648 root_mean_squared_error 0.23314071419466106 root_mean_squared_error 0.23793435138524632 root_mean_squared_error 0.2320740482224664 root_relative_squared_error 1.0211693604336944 root_relative_squared_error 0.9779153480883115 root_relative_squared_error 1.0088337400062153 root_relative_squared_error 0.9860924351488883 root_relative_squared_error 1.0047271331165424 root_relative_squared_error 1.017326777625805 root_relative_squared_error 0.9868853417207494 root_relative_squared_error 0.9975839036132306 root_relative_squared_error 1.0180953587557107 root_relative_squared_error 0.9953390717294488 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 0.5471358664363846 [0.111111,0.983161] unweighted_recall 0.5533435452476902 [0.116402,0.990285] unweighted_recall 0.5515779244028438 [0.115789,0.987366] unweighted_recall 0.5581368386953779 [0.126316,0.989958] unweighted_recall 0.5579748691456532 [0.126316,0.989634] unweighted_recall 0.540241760864747 [0.094737,0.985747] unweighted_recall 0.5530356503503657 [0.115789,0.990282] unweighted_recall 0.5576509300462039 [0.126316,0.988986] unweighted_recall 0.5476505890576782 [0.110526,0.984775] unweighted_recall 0.5535039412590432 [0.116402,0.990606] usercpu_time_millis 1109.375 usercpu_time_millis 1109.375 usercpu_time_millis 1156.25 usercpu_time_millis 1093.75 usercpu_time_millis 1125 usercpu_time_millis 1171.875 usercpu_time_millis 1140.625 usercpu_time_millis 1109.375 usercpu_time_millis 1078.125 usercpu_time_millis 1078.125 usercpu_time_millis_testing 781.25 usercpu_time_millis_testing 765.625 usercpu_time_millis_testing 812.5 usercpu_time_millis_testing 750 usercpu_time_millis_testing 796.875 usercpu_time_millis_testing 828.125 usercpu_time_millis_testing 796.875 usercpu_time_millis_testing 796.875 usercpu_time_millis_testing 750 usercpu_time_millis_testing 750 usercpu_time_millis_training 328.125 usercpu_time_millis_training 343.75 usercpu_time_millis_training 343.75 usercpu_time_millis_training 343.75 usercpu_time_millis_training 328.125 usercpu_time_millis_training 343.75 usercpu_time_millis_training 343.75 usercpu_time_millis_training 312.5 usercpu_time_millis_training 328.125 usercpu_time_millis_training 328.125 wall_clock_time_millis 1122.3549842834473 wall_clock_time_millis 1124.3724822998047 wall_clock_time_millis 1188.340187072754 wall_clock_time_millis 1110.337734222412 wall_clock_time_millis 1165.327787399292 wall_clock_time_millis 1183.3243370056152 wall_clock_time_millis 1132.3513984680176 wall_clock_time_millis 1170.3283786773682 wall_clock_time_millis 1121.3579177856445 wall_clock_time_millis 1075.3824710845947 wall_clock_time_millis_testing 780.552864074707 wall_clock_time_millis_testing 774.5563983917236 wall_clock_time_millis_testing 844.5165157318115 wall_clock_time_millis_testing 771.5580463409424 wall_clock_time_millis_testing 830.5244445800781 wall_clock_time_millis_testing 831.5043449401855 wall_clock_time_millis_testing 789.5472049713135 wall_clock_time_millis_testing 834.5184326171875 wall_clock_time_millis_testing 780.5554866790771 wall_clock_time_millis_testing 743.5512542724609 wall_clock_time_millis_training 341.80212020874023 wall_clock_time_millis_training 349.81608390808105 wall_clock_time_millis_training 343.8236713409424 wall_clock_time_millis_training 338.7796878814697 wall_clock_time_millis_training 334.80334281921387 wall_clock_time_millis_training 351.8199920654297 wall_clock_time_millis_training 342.8041934967041 wall_clock_time_millis_training 335.80994606018066 wall_clock_time_millis_training 340.8024311065674 wall_clock_time_millis_training 331.8312168121338 weighted_recall 0.9328654256942325 [0.111111,0.983161] weighted_recall 0.9398840402807446 [0.116402,0.990285] weighted_recall 0.9368324687213915 [0.115789,0.987366] weighted_recall 0.9398840402807446 [0.126316,0.989958] weighted_recall 0.9395788831248093 [0.126316,0.989634] weighted_recall 0.9340860543179738 [0.094737,0.985747] weighted_recall 0.9395788831248093 [0.115789,0.990282] weighted_recall 0.9389685688129387 [0.126316,0.988986] weighted_recall 0.9340860543179738 [0.110526,0.984775] weighted_recall 0.9401709401709402 [0.116402,0.990606]