10591561 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) 8304110 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 0 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 22110728 description https://api.openml.org/data/download/22110728/description.xml -1 22110729 predictions https://api.openml.org/data/download/22110729/predictions.arff area_under_roc_curve 0.6695200773223443 [0.66952,0.66952] average_cost 0 f_measure 0.9146228075815129 [0.010433,0.970183] kappa 0.009236194156947082 kb_relative_information_score -0.46428107881366054 mean_absolute_error 0.10518853379532156 mean_prior_absolute_error 0.10910149339756714 weighted_recall 0.9421099209618847 [0.005271,0.999676] number_of_instances 32769 [1897,30872] precision 0.9167705114640236 [0.5,0.94238] predictive_accuracy 0.9421099209618847 prior_entropy 0.3190117574285477 relative_absolute_error 0.9641346833999174 root_mean_prior_squared_error 0.23353547592409915 root_mean_squared_error 0.23024092879791183 root_relative_squared_error 0.9858927337992192 total_cost 0 unweighted_recall 0.5024737815863702 [0.005271,0.999676] area_under_roc_curve 0.6709399073388711 [0.67094,0.67094] area_under_roc_curve 0.6931182663047948 [0.693118,0.693118] area_under_roc_curve 0.6623275876766747 [0.662328,0.662328] area_under_roc_curve 0.6592024278383033 [0.659202,0.659202] area_under_roc_curve 0.6710227950829455 [0.671023,0.671023] area_under_roc_curve 0.6345284981160384 [0.634528,0.634528] area_under_roc_curve 0.6645474229792168 [0.664547,0.664547] area_under_roc_curve 0.6759210952551447 [0.675921,0.675921] area_under_roc_curve 0.6860160605595623 [0.686016,0.686016] area_under_roc_curve 0.689251563563193 [0.689252,0.689252] 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 0.9150950087205858 [0.010526,0.970459] f_measure 0.9143351878968687 [0.010363,0.969973] f_measure 0.9135907365760829 [0,0.969821] f_measure 0.9143351878968687 [0.010363,0.969973] f_measure 0.9135907365760829 [0,0.969821] f_measure 0.9153909295640813 [0.020833,0.97045] f_measure 0.9153909295640813 [0.020833,0.97045] f_measure 0.9159674535439633 [0.030928,0.97044] f_measure 0.9141658404468842 [0,0.970135] kappa 0.009925239292119034 kappa 0 kappa 0.008575669112859946 kappa -0.001209374562396564 kappa 0.008575669112859946 kappa -0.001209374562396564 kappa 0.01964915407431908 kappa 0.01964915407431908 kappa 0.028605306061952687 kappa -0.0006076564715424516 kb_relative_information_score -0.5407807694169435 kb_relative_information_score -0.37208144003895305 kb_relative_information_score -0.6500083982862833 kb_relative_information_score -0.4419043897636079 kb_relative_information_score -0.430717367062696 kb_relative_information_score -0.4243087659437675 kb_relative_information_score -0.44067083511798594 kb_relative_information_score -0.47989223785021273 kb_relative_information_score -0.4028760910990857 kb_relative_information_score -0.45949132312417845 mean_absolute_error 0.10761364731082085 mean_absolute_error 0.1016677198127462 mean_absolute_error 0.11123110949872543 mean_absolute_error 0.10462323911236235 mean_absolute_error 0.10498098961885506 mean_absolute_error 0.10333570338132864 mean_absolute_error 0.10444313519900188 mean_absolute_error 0.10534767905248338 mean_absolute_error 0.1035853432419099 mean_absolute_error 0.1050567315045668 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 0.9459227240734717 [1,0.942613] precision 0.9069662451198002 [0.333333,0.942272] precision 0.887368590243823 [0,0.941985] precision 0.9069662451198002 [0.333333,0.942272] precision 0.887368590243823 [0,0.941985] precision 0.9459237293465675 [1,0.942595] precision 0.9459237293465675 [1,0.942595] precision 0.9316835360861623 [0.75,0.942866] precision 0.8879271873165003 [0,0.94229] predictive_accuracy 0.9426304546841624 predictive_accuracy 0.942325297528227 predictive_accuracy 0.9417149832163564 predictive_accuracy 0.9414098260604211 predictive_accuracy 0.9417149832163564 predictive_accuracy 0.9414098260604211 predictive_accuracy 0.9426304546841624 predictive_accuracy 0.9426304546841624 predictive_accuracy 0.9426304546841624 predictive_accuracy 0.942002442002442 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 0.9880873676310321 relative_absolute_error 0.933493029491665 relative_absolute_error 1.0187783362235188 relative_absolute_error 0.9582561025737969 relative_absolute_error 0.961532780001814 relative_absolute_error 0.9464634169141624 relative_absolute_error 0.9566065104225757 relative_absolute_error 0.9648913300763943 relative_absolute_error 0.948749896685552 relative_absolute_error 0.9644724233954308 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 0.229203392472899 root_mean_squared_error 0.2292236994920396 root_mean_squared_error 0.23113059398694002 root_mean_squared_error 0.23128056287043047 root_mean_squared_error 0.2304535026869764 root_mean_squared_error 0.23202780171981752 root_mean_squared_error 0.22911697299675104 root_mean_squared_error 0.23021995281107402 root_mean_squared_error 0.22874364885753184 root_mean_squared_error 0.23098488982383317 root_relative_squared_error 0.9831679217166465 root_relative_squared_error 0.9832550286725659 root_relative_squared_error 0.9889828166238688 root_relative_squared_error 0.9896245172583106 root_relative_squared_error 0.986085616173688 root_relative_squared_error 0.992821871486541 root_relative_squared_error 0.9803667501649102 root_relative_squared_error 0.985086281511375 root_relative_squared_error 0.9787693365454067 root_relative_squared_error 0.9906677958252048 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 0.5026455026455027 [0.005291,1] unweighted_recall 0.5 [0,1] unweighted_recall 0.5023076398479192 [0.005263,0.999352] unweighted_recall 0.4996760609005507 [0,0.999352] unweighted_recall 0.5023076398479192 [0.005263,0.999352] unweighted_recall 0.4996760609005507 [0,0.999352] unweighted_recall 0.5052631578947369 [0.010526,1] unweighted_recall 0.5052631578947369 [0.010526,1] unweighted_recall 0.5077327672923806 [0.015789,0.999676] unweighted_recall 0.49983803045027536 [0,0.999676] usercpu_time_millis 23671.875 usercpu_time_millis 38562.5 usercpu_time_millis 28625 usercpu_time_millis 27171.875 usercpu_time_millis 24546.875 usercpu_time_millis 40343.75 usercpu_time_millis 27906.25 usercpu_time_millis 27609.375 usercpu_time_millis 34375 usercpu_time_millis 34093.75 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 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_training 23656.25 usercpu_time_millis_training 38546.875 usercpu_time_millis_training 28609.375 usercpu_time_millis_training 27140.625 usercpu_time_millis_training 24515.625 usercpu_time_millis_training 40328.125 usercpu_time_millis_training 27875 usercpu_time_millis_training 27593.75 usercpu_time_millis_training 34359.375 usercpu_time_millis_training 34078.125 wall_clock_time_millis 23137.547254562378 wall_clock_time_millis 37385.01191139221 wall_clock_time_millis 28235.991716384888 wall_clock_time_millis 26493.596076965332 wall_clock_time_millis 24119.845628738403 wall_clock_time_millis 39427.642822265625 wall_clock_time_millis 27243.093490600586 wall_clock_time_millis 26913.431406021118 wall_clock_time_millis 33681.77843093872 wall_clock_time_millis 33133.84962081909 wall_clock_time_millis_testing 16.99090003967285 wall_clock_time_millis_testing 22.011280059814453 wall_clock_time_millis_testing 17.990827560424805 wall_clock_time_millis_testing 20.98679542541504 wall_clock_time_millis_testing 17.994403839111328 wall_clock_time_millis_testing 17.994403839111328 wall_clock_time_millis_testing 19.969701766967773 wall_clock_time_millis_testing 18.985986709594727 wall_clock_time_millis_testing 16.01433753967285 wall_clock_time_millis_testing 16.98756217956543 wall_clock_time_millis_training 23120.556354522705 wall_clock_time_millis_training 37363.0006313324 wall_clock_time_millis_training 28218.000888824463 wall_clock_time_millis_training 26472.609281539917 wall_clock_time_millis_training 24101.851224899292 wall_clock_time_millis_training 39409.648418426514 wall_clock_time_millis_training 27223.123788833618 wall_clock_time_millis_training 26894.445419311523 wall_clock_time_millis_training 33665.76409339905 wall_clock_time_millis_training 33116.86205863953 weighted_recall 0.9426304546841623 [0.005291,1] weighted_recall 0.942325297528227 [0,1] weighted_recall 0.9417149832163564 [0.005263,0.999352] weighted_recall 0.9414098260604211 [0,0.999352] weighted_recall 0.9417149832163564 [0.005263,0.999352] weighted_recall 0.9414098260604211 [0,0.999352] weighted_recall 0.9426304546841623 [0.010526,1] weighted_recall 0.9426304546841623 [0.010526,1] weighted_recall 0.9426304546841623 [0.015789,0.999676] weighted_recall 0.942002442002442 [0,0.999676]