10591556 32117 VAIBHAV JAISWAL 34539 Supervised Classification 19167 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._forest.RandomForestClassifier)(1) 8304105 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 bootstrap true 19095 ccp_alpha 0.0 19095 class_weight null 19095 criterion "gini" 19095 max_depth null 19095 max_features "auto" 19095 max_leaf_nodes null 19095 max_samples null 19095 min_impurity_decrease 0.0 19095 min_samples_leaf 1 19095 min_samples_split 2 19095 min_weight_fraction_leaf 0.0 19095 n_estimators 100 19095 n_jobs null 19095 oob_score false 19095 random_state 0 19095 verbose 0 19095 warm_start false 19095 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 19167 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"}}] 19167 verbose false 19167 openml-python Sklearn_1.0.2. 4135 Amazon_employee_access https://www.openml.org/data/download/1681098/phpmPOD5A -1 22110718 description https://api.openml.org/data/download/22110718/description.xml -1 22110719 predictions https://api.openml.org/data/download/22110719/predictions.arff area_under_roc_curve 0.8498863486256378 [0.849886,0.849886] average_cost 0 f_measure 0.943640822047758 [0.465736,0.973007] kappa 0.4399167541034526 kb_relative_information_score -0.1068801155369507 mean_absolute_error 0.07541700997894432 mean_prior_absolute_error 0.10910149339756714 weighted_recall 0.9486099667368549 [0.386927,0.983124] number_of_instances 32769 [1897,30872] precision 0.941199700805605 [0.584861,0.963096] predictive_accuracy 0.9486099667368549 prior_entropy 0.3190117574285477 relative_absolute_error 0.6912555239195842 root_mean_prior_squared_error 0.23353547592409915 root_mean_squared_error 0.20227916463979226 root_relative_squared_error 0.8661603289152291 total_cost 0 unweighted_recall 0.6850252963483621 [0.386927,0.983124] area_under_roc_curve 0.8641772555308824 [0.864177,0.864177] area_under_roc_curve 0.8380580571318913 [0.838058,0.838058] area_under_roc_curve 0.8383552418461119 [0.838355,0.838355] area_under_roc_curve 0.8432015412681364 [0.843202,0.843202] area_under_roc_curve 0.8524397729016417 [0.85244,0.85244] area_under_roc_curve 0.8651424479566263 [0.865142,0.865142] area_under_roc_curve 0.8508882751095425 [0.850888,0.850888] area_under_roc_curve 0.8164382043544235 [0.816438,0.816438] area_under_roc_curve 0.8764990708062673 [0.876499,0.876499] area_under_roc_curve 0.8545924794710024 [0.854592,0.854592] 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 0.9418044771091161 [0.44373,0.972289] f_measure 0.9468729853159196 [0.495238,0.974515] f_measure 0.9444155739914447 [0.476489,0.973216] f_measure 0.944099619707932 [0.467949,0.973406] f_measure 0.9470972721337529 [0.507645,0.974145] f_measure 0.9404214834998121 [0.438871,0.971291] f_measure 0.9423587724196545 [0.448052,0.972783] f_measure 0.9401456480042757 [0.439628,0.970952] f_measure 0.9436671193609351 [0.463023,0.97325] f_measure 0.9454511441776824 [0.47557,0.974219] kappa 0.4173659420922865 kappa 0.47082194577235803 kappa 0.45073232812394914 kappa 0.4426779391515311 kappa 0.48250400433930174 kappa 0.41126399242028144 kappa 0.42239101854271116 kappa 0.4115301543458825 kappa 0.43765150277393233 kappa 0.4512323020450962 kb_relative_information_score -0.12723148753800628 kb_relative_information_score -0.08526929892937554 kb_relative_information_score -0.13434111655958023 kb_relative_information_score -0.09591253168483702 kb_relative_information_score -0.09521228258704748 kb_relative_information_score -0.09935363790909751 kb_relative_information_score -0.0460665044924274 kb_relative_information_score -0.17287634699323665 kb_relative_information_score -0.10854349312146225 kb_relative_information_score -0.10397821783324619 mean_absolute_error 0.07742752517546565 mean_absolute_error 0.07378394873359824 mean_absolute_error 0.07618248397924958 mean_absolute_error 0.07460482148306412 mean_absolute_error 0.07382667073542913 mean_absolute_error 0.07556911809581972 mean_absolute_error 0.0730119011290818 mean_absolute_error 0.0785901739395791 mean_absolute_error 0.07627403112603029 mean_absolute_error 0.07489926739926783 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 0.9391033807133334 [0.565574,0.961965] precision 0.9448334743551291 [0.619048,0.964773] precision 0.9420650003348003 [0.589147,0.963787] precision 0.9417791382847429 [0.598361,0.962916] precision 0.9450459383602406 [0.605839,0.965924] precision 0.9375727986236208 [0.542636,0.961881] precision 0.939841174755291 [0.584746,0.961697] precision 0.937316452296815 [0.533835,0.96215] precision 0.9412992673629584 [0.595041,0.962611] precision 0.9433857474198926 [0.618644,0.963268] predictive_accuracy 0.9472078120231919 predictive_accuracy 0.9514800122062863 predictive_accuracy 0.9490387549588039 predictive_accuracy 0.9493439121147391 predictive_accuracy 0.9508696978944157 predictive_accuracy 0.94537686908758 predictive_accuracy 0.9481232834909978 predictive_accuracy 0.9447665547757095 predictive_accuracy 0.9490387549588039 predictive_accuracy 0.9508547008547009 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 0.710924324605793 relative_absolute_error 0.6774697215403581 relative_absolute_error 0.6977640035015932 relative_absolute_error 0.683314013923772 relative_absolute_error 0.6761868430488314 relative_absolute_error 0.6921461158707582 relative_absolute_error 0.6687242758974219 relative_absolute_error 0.7198163086793518 relative_absolute_error 0.6986024941927639 relative_absolute_error 0.6876120825820099 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 0.2040299660268661 root_mean_squared_error 0.2007824942796428 root_mean_squared_error 0.2040165047443889 root_mean_squared_error 0.20004592088015025 root_mean_squared_error 0.19785553089999913 root_mean_squared_error 0.2041967374822951 root_mean_squared_error 0.20086143442098692 root_mean_squared_error 0.20923170558476645 root_mean_squared_error 0.20049427784117763 root_mean_squared_error 0.20105027952284718 root_relative_squared_error 0.8751865123037842 root_relative_squared_error 0.8612564826733172 root_relative_squared_error 0.8729645609410908 root_relative_squared_error 0.855974861974982 root_relative_squared_error 0.8466024201242205 root_relative_squared_error 0.8737357573357678 root_relative_squared_error 0.859464356224528 root_relative_squared_error 0.8952798413520743 root_relative_squared_error 0.857893332924764 root_relative_squared_error 0.8622816731295531 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 0.673958076322066 [0.365079,0.982837] unweighted_recall 0.6985771856238177 [0.412698,0.984456] unweighted_recall 0.6914156138645935 [0.4,0.982831] unweighted_recall 0.6841687552213868 [0.384211,0.984127] unweighted_recall 0.7096746969464478 [0.436842,0.982507] unweighted_recall 0.674654322882035 [0.368421,0.980888] unweighted_recall 0.6736424394319132 [0.363158,0.984127] unweighted_recall 0.6767999931802294 [0.373684,0.979916] unweighted_recall 0.6815371762740183 [0.378947,0.984127] unweighted_recall 0.6858330633840838 [0.386243,0.985423] usercpu_time_millis 5390.625 usercpu_time_millis 5390.625 usercpu_time_millis 5671.875 usercpu_time_millis 5734.375 usercpu_time_millis 5312.5 usercpu_time_millis 5406.25 usercpu_time_millis 5156.25 usercpu_time_millis 5250 usercpu_time_millis 5546.875 usercpu_time_millis 5390.625 usercpu_time_millis_testing 109.375 usercpu_time_millis_testing 109.375 usercpu_time_millis_testing 125 usercpu_time_millis_testing 93.75 usercpu_time_millis_testing 109.375 usercpu_time_millis_testing 125 usercpu_time_millis_testing 109.375 usercpu_time_millis_testing 93.75 usercpu_time_millis_testing 109.375 usercpu_time_millis_testing 109.375 usercpu_time_millis_training 5281.25 usercpu_time_millis_training 5281.25 usercpu_time_millis_training 5546.875 usercpu_time_millis_training 5640.625 usercpu_time_millis_training 5203.125 usercpu_time_millis_training 5281.25 usercpu_time_millis_training 5046.875 usercpu_time_millis_training 5156.25 usercpu_time_millis_training 5437.5 usercpu_time_millis_training 5281.25 wall_clock_time_millis 5525.835037231445 wall_clock_time_millis 5478.8806438446045 wall_clock_time_millis 5801.672697067261 wall_clock_time_millis 5779.688358306885 wall_clock_time_millis 5356.92834854126 wall_clock_time_millis 5436.88702583313 wall_clock_time_millis 5225.024461746216 wall_clock_time_millis 5320.945262908936 wall_clock_time_millis 5590.792655944824 wall_clock_time_millis 5410.874366760254 wall_clock_time_millis_testing 111.9375228881836 wall_clock_time_millis_testing 104.96020317077637 wall_clock_time_millis_testing 148.91314506530762 wall_clock_time_millis_testing 106.94003105163574 wall_clock_time_millis_testing 111.93966865539551 wall_clock_time_millis_testing 112.93959617614746 wall_clock_time_millis_testing 106.95958137512207 wall_clock_time_millis_testing 106.93836212158203 wall_clock_time_millis_testing 109.9400520324707 wall_clock_time_millis_testing 108.93654823303223 wall_clock_time_millis_training 5413.897514343262 wall_clock_time_millis_training 5373.920440673828 wall_clock_time_millis_training 5652.759552001953 wall_clock_time_millis_training 5672.748327255249 wall_clock_time_millis_training 5244.988679885864 wall_clock_time_millis_training 5323.947429656982 wall_clock_time_millis_training 5118.064880371094 wall_clock_time_millis_training 5214.0069007873535 wall_clock_time_millis_training 5480.8526039123535 wall_clock_time_millis_training 5301.937818527222 weighted_recall 0.9472078120231919 [0.365079,0.982837] weighted_recall 0.9514800122062862 [0.412698,0.984456] weighted_recall 0.9490387549588037 [0.4,0.982831] weighted_recall 0.9493439121147391 [0.384211,0.984127] weighted_recall 0.9508696978944157 [0.436842,0.982507] weighted_recall 0.9453768690875801 [0.368421,0.980888] weighted_recall 0.9481232834909978 [0.363158,0.984127] weighted_recall 0.9447665547757095 [0.373684,0.979916] weighted_recall 0.9490387549588037 [0.378947,0.984127] weighted_recall 0.9508547008547008 [0.386243,0.985423]