10591309 32117 VAIBHAV JAISWAL 59 Supervised Classification predictive_accuracy 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. 61 iris https://www.openml.org/data/download/61/dataset_61_iris.arff -1 22110224 description https://api.openml.org/data/download/22110224/description.xml -1 22110225 predictions https://api.openml.org/data/download/22110225/predictions.arff area_under_roc_curve 0.9979999999999999 [1,0.9968,0.9972] average_cost 0 f_measure 0.9667260843731431 [0.989899,0.949495,0.960784] kappa 0.9499999999999998 kb_relative_information_score 0.9333934926014165 mean_absolute_error 0.037042495909056374 mean_prior_absolute_error 0.44444444444444337 weighted_recall 0.9666666666666667 [0.98,0.94,0.98] number_of_instances 150 [50,50,50] precision 0.9671637885923599 [1,0.959184,0.942308] predictive_accuracy 0.9666666666666667 prior_entropy 1.5849625007211599 relative_absolute_error 0.08334561579537704 root_mean_prior_squared_error 0.4714045207910311 root_mean_squared_error 0.12072222224569029 root_relative_squared_error 0.25609050596951155 total_cost 0 unweighted_recall 0.9666666666666667 [0.98,0.94,0.98] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.9733333333333334 [1,0.96,0.96] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] 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 1 [1,1,1] f_measure 1 [1,1,1] f_measure 0.9326599326599326 [0.888889,0.909091,1] f_measure 0.9326599326599326 [1,0.888889,0.909091] f_measure 1 [1,1,1] f_measure 0.9326599326599326 [1,0.888889,0.909091] f_measure 1 [1,1,1] f_measure 0.9326599326599326 [1,0.909091,0.888889] f_measure 0.9326599326599326 [1,0.888889,0.909091] f_measure 1 [1,1,1] kappa 1 kappa 1 kappa 0.9 kappa 0.9 kappa 1 kappa 0.9 kappa 1 kappa 0.9 kappa 0.9 kappa 1 kb_relative_information_score 0.9513180540116211 kb_relative_information_score 0.9766929794828397 kb_relative_information_score 0.9137344145952685 kb_relative_information_score 0.9349830049372474 kb_relative_information_score 0.9715671918205742 kb_relative_information_score 0.8517949354362665 kb_relative_information_score 0.9847941979602762 kb_relative_information_score 0.9010853079912335 kb_relative_information_score 0.8788712179622739 kb_relative_information_score 0.9690936218165862 mean_absolute_error 0.027750349261143982 mean_absolute_error 0.016236155954036956 mean_absolute_error 0.047106048127792996 mean_absolute_error 0.031669371085158514 mean_absolute_error 0.019226942696668324 mean_absolute_error 0.07892109497671253 mean_absolute_error 0.010900724150933497 mean_absolute_error 0.050528922286645676 mean_absolute_error 0.06663594882481333 mean_absolute_error 0.02144940172665814 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] precision 1 [1,1,1] precision 1 [1,1,1] precision 0.9444444444444445 [1,0.833333,1] precision 0.9444444444444445 [1,1,0.833333] precision 1 [1,1,1] precision 0.9444444444444445 [1,1,0.833333] precision 1 [1,1,1] precision 0.9444444444444445 [1,0.833333,1] precision 0.9444444444444445 [1,1,0.833333] precision 1 [1,1,1] predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9333333333333332 predictive_accuracy 0.9333333333333332 predictive_accuracy 1 predictive_accuracy 0.9333333333333332 predictive_accuracy 1 predictive_accuracy 0.9333333333333332 predictive_accuracy 0.9333333333333332 predictive_accuracy 1 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 relative_absolute_error 0.062438285837573944 relative_absolute_error 0.03653135089658313 relative_absolute_error 0.10598860828753422 relative_absolute_error 0.07125608494160664 relative_absolute_error 0.04326062106750372 relative_absolute_error 0.17757246369760313 relative_absolute_error 0.024526629339600356 relative_absolute_error 0.11369007514495273 relative_absolute_error 0.14993088485582995 relative_absolute_error 0.048261153884980805 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_squared_error 0.10243376881912145 root_mean_squared_error 0.038741168946775414 root_mean_squared_error 0.14508741069761594 root_mean_squared_error 0.13218170833839285 root_mean_squared_error 0.05216331487324739 root_mean_squared_error 0.20105632414087612 root_mean_squared_error 0.020544198915020285 root_mean_squared_error 0.1551289284826364 root_mean_squared_error 0.15996167190099808 root_mean_squared_error 0.04475702824285623 root_relative_squared_error 0.21729483766348767 root_relative_squared_error 0.08218242982007576 root_relative_squared_error 0.30777687590724556 root_relative_squared_error 0.28039974694469993 root_relative_squared_error 0.11065510102812695 root_relative_squared_error 0.42650487060136216 root_relative_squared_error 0.04358082710056846 root_relative_squared_error 0.3290781518648254 root_relative_squared_error 0.3393299487934 root_relative_squared_error 0.09494399452884439 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 1 [1,1,1] unweighted_recall 1 [1,1,1] unweighted_recall 0.9333333333333332 [0.8,1,1] unweighted_recall 0.9333333333333332 [1,0.8,1] unweighted_recall 1 [1,1,1] unweighted_recall 0.9333333333333332 [1,0.8,1] unweighted_recall 1 [1,1,1] unweighted_recall 0.9333333333333332 [1,1,0.8] unweighted_recall 0.9333333333333332 [1,0.8,1] unweighted_recall 1 [1,1,1] usercpu_time_millis 531.25 usercpu_time_millis 453.125 usercpu_time_millis 453.125 usercpu_time_millis 421.875 usercpu_time_millis 468.75 usercpu_time_millis 468.75 usercpu_time_millis 468.75 usercpu_time_millis 546.875 usercpu_time_millis 609.375 usercpu_time_millis 609.375 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 531.25 usercpu_time_millis_training 453.125 usercpu_time_millis_training 453.125 usercpu_time_millis_training 421.875 usercpu_time_millis_training 468.75 usercpu_time_millis_training 468.75 usercpu_time_millis_training 468.75 usercpu_time_millis_training 546.875 usercpu_time_millis_training 609.375 usercpu_time_millis_training 609.375 wall_clock_time_millis 523.6773490905762 wall_clock_time_millis 465.787410736084 wall_clock_time_millis 449.74517822265625 wall_clock_time_millis 435.732364654541 wall_clock_time_millis 477.72693634033203 wall_clock_time_millis 475.7044315338135 wall_clock_time_millis 471.729040145874 wall_clock_time_millis 545.6891059875488 wall_clock_time_millis 605.6528091430664 wall_clock_time_millis 599.6532440185547 wall_clock_time_millis_testing 1.9762516021728516 wall_clock_time_millis_testing 1.9998550415039062 wall_clock_time_millis_testing 1.9986629486083984 wall_clock_time_millis_testing 1.9977092742919922 wall_clock_time_millis_testing 1.9981861114501953 wall_clock_time_millis_testing 1.9981861114501953 wall_clock_time_millis_testing 1.9984245300292969 wall_clock_time_millis_testing 2.999544143676758 wall_clock_time_millis_testing 3.9970874786376953 wall_clock_time_millis_testing 1.9986629486083984 wall_clock_time_millis_training 521.7010974884033 wall_clock_time_millis_training 463.7875556945801 wall_clock_time_millis_training 447.74651527404785 wall_clock_time_millis_training 433.734655380249 wall_clock_time_millis_training 475.72875022888184 wall_clock_time_millis_training 473.7062454223633 wall_clock_time_millis_training 469.7306156158447 wall_clock_time_millis_training 542.6895618438721 wall_clock_time_millis_training 601.6557216644287 wall_clock_time_millis_training 597.6545810699463 weighted_recall 1 [1,1,1] weighted_recall 1 [1,1,1] weighted_recall 0.9333333333333333 [0.8,1,1] weighted_recall 0.9333333333333333 [1,0.8,1] weighted_recall 1 [1,1,1] weighted_recall 0.9333333333333333 [1,0.8,1] weighted_recall 1 [1,1,1] weighted_recall 0.9333333333333333 [1,1,0.8] weighted_recall 0.9333333333333333 [1,0.8,1] weighted_recall 1 [1,1,1]