10591096 32117 VAIBHAV JAISWAL 34539 Supervised Classification 19163 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.naive_bayes.GaussianNB)(1) 8304081 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 19163 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"}}] 19163 verbose false 19163 priors null 19164 var_smoothing 1e-09 19164 openml-python Sklearn_1.0.2. 4135 Amazon_employee_access https://www.openml.org/data/download/1681098/phpmPOD5A -1 22109788 description https://api.openml.org/data/download/22109788/description.xml -1 22109789 predictions https://api.openml.org/data/download/22109789/predictions.arff area_under_roc_curve 0.5609948397281684 [0.561,0.560995] average_cost 0 f_measure 0.9024262765355535 [0.066624,0.953784] kappa 0.022901453464471765 kb_relative_information_score -2.2270385067416787 mean_absolute_error 0.1599330300944636 mean_prior_absolute_error 0.10910149339756714 weighted_recall 0.9119289572461778 [0.054296,0.964628] number_of_instances 32769 [1897,30872] precision 0.8935699588609207 [0.086192,0.943181] predictive_accuracy 0.9119289572461778 prior_entropy 0.3190117574285477 relative_absolute_error 1.4659105491037208 root_mean_prior_squared_error 0.23353547592409915 root_mean_squared_error 0.27436638421051485 root_relative_squared_error 1.1748381402219423 total_cost 0 unweighted_recall 0.5094621996269938 [0.054296,0.964628] area_under_roc_curve 0.5858573816195907 [0.585861,0.585857] area_under_roc_curve 0.602316729053348 [0.602326,0.602316] area_under_roc_curve 0.5420422669064949 [0.542058,0.542041] area_under_roc_curve 0.5465910910395088 [0.546621,0.546589] area_under_roc_curve 0.5620902796413394 [0.562113,0.562089] area_under_roc_curve 0.5778458022312023 [0.577815,0.577848] area_under_roc_curve 0.5800318230117006 [0.58002,0.580033] area_under_roc_curve 0.5803027978108537 [0.580303,0.580303] area_under_roc_curve 0.5909334860570681 [0.590967,0.590931] area_under_roc_curve 0.6003462338091428 [0.600369,0.600345] 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 0.9058711590370853 [0.080808,0.956369] f_measure 0.9040307483946785 [0.099071,0.953298] f_measure 0.9021317075853881 [0.080997,0.952671] f_measure 0.89863004168686 [0.032258,0.951954] f_measure 0.9031699692626856 [0.08254,0.953678] f_measure 0.9021666169096378 [0.053156,0.954422] f_measure 0.904732157062626 [0.068027,0.95623] f_measure 0.8978091371111385 [0.031746,0.951114] f_measure 0.9020007118340124 [0.070064,0.953205] f_measure 0.903611451859399 [0.066225,0.95488] kappa 0.04056432282869338 kappa 0.05379140500427145 kappa 0.035346464605138544 kappa -0.013223123460480735 kappa 0.038285664962351654 kappa 0.01085790359427151 kappa 0.02816267244495641 kappa -0.014958035247345163 kappa 0.025435449932678406 kappa 0.024091574604019797 kb_relative_information_score -2.080702985351503 kb_relative_information_score -2.091180216882428 kb_relative_information_score -2.3309084125801043 kb_relative_information_score -2.1021336110175532 kb_relative_information_score -2.586245276460172 kb_relative_information_score -2.131402913758718 kb_relative_information_score -2.245782216319697 kb_relative_information_score -1.8327569725082602 kb_relative_information_score -2.769586391071654 kb_relative_information_score -2.0980947713645115 mean_absolute_error 0.15389039662391732 mean_absolute_error 0.1541468669904923 mean_absolute_error 0.16355413723354856 mean_absolute_error 0.15959998994525937 mean_absolute_error 0.1676529272436159 mean_absolute_error 0.15737337164527143 mean_absolute_error 0.1579894233359858 mean_absolute_error 0.15504908574917903 mean_absolute_error 0.1737381304510447 mean_absolute_error 0.15633487372316415 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 0.8961013549305125 [0.111111,0.944146] precision 0.8973434624875567 [0.119403,0.944957] precision 0.8947740052200366 [0.099237,0.943738] precision 0.8892336473091476 [0.041667,0.9414] precision 0.8951510721549518 [0.104,0.943845] precision 0.8920461003435219 [0.072072,0.942514] precision 0.894155597953742 [0.096154,0.943271] precision 0.8890494470769197 [0.04,0.941307] precision 0.8936837798036691 [0.08871,0.943229] precision 0.8940862771059264 [0.088496,0.943408] predictive_accuracy 0.9166920964296612 predictive_accuracy 0.9111992676228258 predictive_accuracy 0.9099786389990845 predictive_accuracy 0.9084528532194079 predictive_accuracy 0.9118095819346963 predictive_accuracy 0.9130302105584376 predictive_accuracy 0.916386939273726 predictive_accuracy 0.9069270674397315 predictive_accuracy 0.9108941104668905 predictive_accuracy 0.9139194139194139 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 1.4129913882078058 relative_absolute_error 1.4153462487270527 relative_absolute_error 1.4980108763113342 relative_absolute_error 1.461794393227596 relative_absolute_error 1.5355521584742513 relative_absolute_error 1.4414005439053204 relative_absolute_error 1.447043031149421 relative_absolute_error 1.4201121460029698 relative_absolute_error 1.5912872242052765 relative_absolute_error 1.4352309686547253 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 0.2667873503813661 root_mean_squared_error 0.26447397675478657 root_mean_squared_error 0.2782363370693458 root_mean_squared_error 0.28250733381940113 root_mean_squared_error 0.2728389763221172 root_mean_squared_error 0.27480194330378926 root_mean_squared_error 0.2688617348118958 root_mean_squared_error 0.2840783847531426 root_mean_squared_error 0.2775713620643021 root_mean_squared_error 0.27282009604831176 root_relative_squared_error 1.1443843041972095 root_relative_squared_error 1.1344610883317758 root_relative_squared_error 1.1905431971394416 root_relative_squared_error 1.2088183303565516 root_relative_squared_error 1.1674484741862747 root_relative_squared_error 1.1758477976206418 root_relative_squared_error 1.1504302878729806 root_relative_squared_error 1.215540687404615 root_relative_squared_error 1.1876978410049364 root_relative_squared_error 1.1700942144533066 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 0.5162019902952546 [0.063492,0.968912] unweighted_recall 0.523221824711462 [0.084656,0.961788] unweighted_recall 0.5150981194482805 [0.068421,0.961775] unweighted_recall 0.49453139651850714 [0.026316,0.962747] unweighted_recall 0.5160699367466285 [0.068421,0.963719] unweighted_recall 0.5043697679573083 [0.042105,0.966634] unweighted_recall 0.5110906517995669 [0.052632,0.96955] unweighted_recall 0.4937215487698839 [0.026316,0.961127] unweighted_recall 0.5106448093021669 [0.057895,0.963395] unweighted_recall 0.5097721628333873 [0.05291,0.966634] usercpu_time_millis 234.375 usercpu_time_millis 250 usercpu_time_millis 234.375 usercpu_time_millis 250 usercpu_time_millis 250 usercpu_time_millis 250 usercpu_time_millis 250 usercpu_time_millis 250 usercpu_time_millis 250 usercpu_time_millis 234.375 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_training 218.75 usercpu_time_millis_training 234.375 usercpu_time_millis_training 234.375 usercpu_time_millis_training 234.375 usercpu_time_millis_training 234.375 usercpu_time_millis_training 234.375 usercpu_time_millis_training 250 usercpu_time_millis_training 234.375 usercpu_time_millis_training 234.375 usercpu_time_millis_training 218.75 wall_clock_time_millis 251.85561180114746 wall_clock_time_millis 248.85797500610352 wall_clock_time_millis 239.8843765258789 wall_clock_time_millis 243.83831024169922 wall_clock_time_millis 246.83856964111328 wall_clock_time_millis 249.8774528503418 wall_clock_time_millis 251.83343887329102 wall_clock_time_millis 243.8793182373047 wall_clock_time_millis 250.8540153503418 wall_clock_time_millis 243.85929107666016 wall_clock_time_millis_testing 16.011714935302734 wall_clock_time_millis_testing 17.969846725463867 wall_clock_time_millis_testing 13.010740280151367 wall_clock_time_millis_testing 12.994527816772461 wall_clock_time_millis_testing 12.974262237548828 wall_clock_time_millis_testing 12.991666793823242 wall_clock_time_millis_testing 12.993812561035156 wall_clock_time_millis_testing 15.01321792602539 wall_clock_time_millis_testing 22.009849548339844 wall_clock_time_millis_testing 14.99176025390625 wall_clock_time_millis_training 235.84389686584473 wall_clock_time_millis_training 230.88812828063965 wall_clock_time_millis_training 226.87363624572754 wall_clock_time_millis_training 230.84378242492676 wall_clock_time_millis_training 233.86430740356445 wall_clock_time_millis_training 236.88578605651855 wall_clock_time_millis_training 238.83962631225586 wall_clock_time_millis_training 228.8661003112793 wall_clock_time_millis_training 228.84416580200195 wall_clock_time_millis_training 228.8675308227539 weighted_recall 0.9166920964296613 [0.063492,0.968912] weighted_recall 0.9111992676228258 [0.084656,0.961788] weighted_recall 0.9099786389990845 [0.068421,0.961775] weighted_recall 0.9084528532194079 [0.026316,0.962747] weighted_recall 0.9118095819346964 [0.068421,0.963719] weighted_recall 0.9130302105584376 [0.042105,0.966634] weighted_recall 0.9163869392737259 [0.052632,0.96955] weighted_recall 0.9069270674397315 [0.026316,0.961127] weighted_recall 0.9108941104668904 [0.057895,0.963395] weighted_recall 0.9139194139194139 [0.05291,0.966634]