10591103 32117 VAIBHAV JAISWAL 34539 Supervised Classification 19176 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.neural_network._multilayer_perceptron.MLPClassifier)(1) 8304413 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 19176 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"}}] 19176 verbose false 19176 activation "relu" 19177 alpha 0.0001 19177 batch_size "auto" 19177 beta_1 0.9 19177 beta_2 0.999 19177 early_stopping false 19177 epsilon 1e-08 19177 hidden_layer_sizes [100] 19177 learning_rate "constant" 19177 learning_rate_init 0.001 19177 max_fun 15000 19177 max_iter 5000 19177 momentum 0.9 19177 n_iter_no_change 10 19177 nesterovs_momentum true 19177 power_t 0.5 19177 random_state 50171 19177 shuffle true 19177 solver "adam" 19177 tol 0.0001 19177 validation_fraction 0.1 19177 verbose false 19177 warm_start false 19177 openml-python Sklearn_1.0.2. 4135 Amazon_employee_access https://www.openml.org/data/download/1681098/phpmPOD5A -1 22109802 description https://api.openml.org/data/download/22109802/description.xml -1 22109803 predictions https://api.openml.org/data/download/22109803/predictions.arff area_under_roc_curve 0.6667819020580906 [0.666782,0.666782] average_cost 0 f_measure 0.9146778158345736 [0.012468,0.970116] kappa 0.01080164822699373 kb_relative_information_score -0.44019409170064283 mean_absolute_error 0.10483982482837913 mean_prior_absolute_error 0.10910149339756714 weighted_recall 0.9419878543745613 [0.006326,0.999482] number_of_instances 32769 [1897,30872] precision 0.9126797910953074 [0.428571,0.942427] predictive_accuracy 0.9419878543745613 prior_entropy 0.3190117574285477 relative_absolute_error 0.9609384946394965 root_mean_prior_squared_error 0.23353547592409915 root_mean_squared_error 0.2304442453117764 root_relative_squared_error 0.9867633360623658 total_cost 0 unweighted_recall 0.5029037542809441 [0.006326,0.999482] area_under_roc_curve 0.6354192367793403 [0.635419,0.635419] area_under_roc_curve 0.6902551607862488 [0.690255,0.690255] area_under_roc_curve 0.6661347245665185 [0.666135,0.666135] area_under_roc_curve 0.649426286805449 [0.649426,0.649426] area_under_roc_curve 0.6670707380696639 [0.667071,0.667071] area_under_roc_curve 0.638293011440165 [0.638293,0.638293] area_under_roc_curve 0.6773430174074644 [0.677343,0.677343] area_under_roc_curve 0.6797674458254479 [0.679767,0.679767] area_under_roc_curve 0.6872572587932416 [0.687257,0.687257] area_under_roc_curve 0.6882728904108883 [0.688273,0.688273] 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 0.9141917641325068 [0,0.970145] f_measure 0.9140392482074835 [0,0.969983] f_measure 0.914490833070082 [0.010417,0.970135] f_measure 0.9149147944916901 [0.020513,0.969964] f_measure 0.914490833070082 [0.010417,0.970135] f_measure 0.9141795270236219 [0.010309,0.969811] f_measure 0.9153909295640813 [0.020833,0.97045] f_measure 0.9153909295640813 [0.020833,0.97045] f_measure 0.9158057390519864 [0.030769,0.970278] f_measure 0.9138606676342524 [0,0.969811] kappa -0.000607470928176124 kappa -0.001209307831228121 kappa 0.009219889755962208 kappa 0.017591800538363508 kappa 0.009219889755962208 kappa 0.00793733385050583 kappa 0.01964915407431908 kappa 0.01964915407431908 kappa 0.027878797391365395 kappa -0.0018061408789897242 kb_relative_information_score -0.46367824647690875 kb_relative_information_score -0.33074319826441206 kb_relative_information_score -0.6100707431080048 kb_relative_information_score -0.431665915497208 kb_relative_information_score -0.35675517561582176 kb_relative_information_score -0.38221952159149064 kb_relative_information_score -0.37118841863187674 kb_relative_information_score -0.5649335992512391 kb_relative_information_score -0.3738364546642358 kb_relative_information_score -0.5168200333837707 mean_absolute_error 0.10688798122755679 mean_absolute_error 0.10029591686593944 mean_absolute_error 0.10985386180829795 mean_absolute_error 0.10431961991141206 mean_absolute_error 0.10273719958395648 mean_absolute_error 0.10172710101678996 mean_absolute_error 0.10277603793316197 mean_absolute_error 0.10930003003831769 mean_absolute_error 0.10291486530542665 mean_absolute_error 0.10758647275219722 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 0.8879603765169831 [0,0.942308] precision 0.8879437765411019 [0,0.94229] precision 0.9166461597951954 [0.5,0.94229] precision 0.911086232637192 [0.4,0.942543] precision 0.9166461597951954 [0.5,0.94229] precision 0.9021179752668866 [0.25,0.942255] precision 0.9459237293465675 [1,0.942595] precision 0.9459237293465675 [1,0.942595] precision 0.9229701080286177 [0.6,0.942848] precision 0.8878939575548191 [0,0.942255] predictive_accuracy 0.9420201403722918 predictive_accuracy 0.9417149832163564 predictive_accuracy 0.9420201403722918 predictive_accuracy 0.9417149832163564 predictive_accuracy 0.9420201403722918 predictive_accuracy 0.9414098260604211 predictive_accuracy 0.9426304546841624 predictive_accuracy 0.9426304546841624 predictive_accuracy 0.942325297528227 predictive_accuracy 0.9413919413919415 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 0.9814244442202074 relative_absolute_error 0.9208974043410391 relative_absolute_error 1.0061639685619477 relative_absolute_error 0.9554752199072152 relative_absolute_error 0.9409816528136503 relative_absolute_error 0.9317300455760953 relative_absolute_error 0.9413373776550504 relative_absolute_error 1.0010913606223975 relative_absolute_error 0.9426089132890606 relative_absolute_error 0.9876966912431264 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 0.23064837508880057 root_mean_squared_error 0.22977154166307812 root_mean_squared_error 0.23073797563058673 root_mean_squared_error 0.2315191312936088 root_mean_squared_error 0.23021322769383587 root_mean_squared_error 0.23241975525209996 root_mean_squared_error 0.2285458642244285 root_mean_squared_error 0.2304865131382823 root_mean_squared_error 0.22889373953782638 root_mean_squared_error 0.23117999079658502 root_relative_squared_error 0.9893661744565599 root_relative_squared_error 0.9856049975928225 root_relative_squared_error 0.9873028451357737 root_relative_squared_error 0.9906453257416986 root_relative_squared_error 0.9850575054619842 root_relative_squared_error 0.9944989982643325 root_relative_squared_error 0.9779230374892873 root_relative_squared_error 0.9862268643249922 root_relative_squared_error 0.9794115583352017 root_relative_squared_error 0.9915045616014722 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 0.4998380829015544 [0,0.999676] unweighted_recall 0.4996761658031088 [0,0.999352] unweighted_recall 0.5024696093976437 [0.005263,0.999676] unweighted_recall 0.5047772492455629 [0.010526,0.999028] unweighted_recall 0.5024696093976437 [0.005263,0.999676] unweighted_recall 0.5021456702981945 [0.005263,0.999028] unweighted_recall 0.5052631578947369 [0.010526,1] unweighted_recall 0.5052631578947369 [0.010526,1] unweighted_recall 0.507570797742656 [0.015789,0.999352] unweighted_recall 0.49951409135082603 [0,0.999028] usercpu_time_millis 19531.25 usercpu_time_millis 47078.125 usercpu_time_millis 40703.125 usercpu_time_millis 45906.25 usercpu_time_millis 24390.625 usercpu_time_millis 41296.875 usercpu_time_millis 34718.75 usercpu_time_millis 28312.5 usercpu_time_millis 38765.625 usercpu_time_millis 25625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 15.625 usercpu_time_millis_training 19515.625 usercpu_time_millis_training 47062.5 usercpu_time_millis_training 40671.875 usercpu_time_millis_training 45890.625 usercpu_time_millis_training 24359.375 usercpu_time_millis_training 41281.25 usercpu_time_millis_training 34703.125 usercpu_time_millis_training 28296.875 usercpu_time_millis_training 38734.375 usercpu_time_millis_training 25609.375 wall_clock_time_millis 19206.976175308228 wall_clock_time_millis 46358.68811607361 wall_clock_time_millis 40330.24287223816 wall_clock_time_millis 44843.37377548218 wall_clock_time_millis 24046.140909194946 wall_clock_time_millis 40680.036783218384 wall_clock_time_millis 34544.67988014221 wall_clock_time_millis 28142.526865005493 wall_clock_time_millis 38101.834774017334 wall_clock_time_millis 25328.521490097046 wall_clock_time_millis_testing 19.987821578979492 wall_clock_time_millis_testing 17.006874084472656 wall_clock_time_millis_testing 53.96771430969238 wall_clock_time_millis_testing 18.012523651123047 wall_clock_time_millis_testing 18.987655639648438 wall_clock_time_millis_testing 18.98956298828125 wall_clock_time_millis_testing 24.985790252685547 wall_clock_time_millis_testing 16.993045806884766 wall_clock_time_millis_testing 20.986557006835938 wall_clock_time_millis_testing 19.96636390686035 wall_clock_time_millis_training 19186.988353729248 wall_clock_time_millis_training 46341.681241989136 wall_clock_time_millis_training 40276.27515792847 wall_clock_time_millis_training 44825.361251831055 wall_clock_time_millis_training 24027.153253555298 wall_clock_time_millis_training 40661.0472202301 wall_clock_time_millis_training 34519.69408988953 wall_clock_time_millis_training 28125.53381919861 wall_clock_time_millis_training 38080.8482170105 wall_clock_time_millis_training 25308.555126190186 weighted_recall 0.9420201403722918 [0,0.999676] weighted_recall 0.9417149832163564 [0,0.999352] weighted_recall 0.9420201403722918 [0.005263,0.999676] weighted_recall 0.9417149832163564 [0.010526,0.999028] weighted_recall 0.9420201403722918 [0.005263,0.999676] weighted_recall 0.9414098260604211 [0.005263,0.999028] weighted_recall 0.9426304546841623 [0.010526,1] weighted_recall 0.9426304546841623 [0.010526,1] weighted_recall 0.942325297528227 [0.015789,0.999352] weighted_recall 0.9413919413919414 [0,0.999028]