10590851 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) 8304373 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 33404 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 22109298 description https://api.openml.org/data/download/22109298/description.xml -1 22109299 predictions https://api.openml.org/data/download/22109299/predictions.arff area_under_roc_curve 0.9977999999999999 [1,0.9964,0.997] average_cost 0 f_measure 0.9733226623982927 [1,0.959184,0.960784] kappa 0.9600000000000001 kb_relative_information_score 0.9314123638669158 mean_absolute_error 0.0384334191223985 mean_prior_absolute_error 0.44444444444444337 weighted_recall 0.9733333333333334 [1,0.94,0.98] number_of_instances 150 [50,50,50] precision 0.9738247863247864 [1,0.979167,0.942308] predictive_accuracy 0.9733333333333333 prior_entropy 1.5849625007211599 relative_absolute_error 0.08647519302539683 root_mean_prior_squared_error 0.4714045207910311 root_mean_squared_error 0.1216031088266124 root_relative_squared_error 0.25795914859399033 total_cost 0 unweighted_recall 0.9733333333333333 [1,0.94,0.98] 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 0.9866666666666667 [1,0.98,0.98] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.9866666666666667 [1,0.98,0.98] 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 1 [1,1,1] f_measure 0.9326599326599326 [1,0.888889,0.909091] f_measure 1 [1,1,1] f_measure 0.9326599326599326 [1,0.888889,0.909091] 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 1 kappa 0.9 kappa 1 kappa 0.9 kappa 1 kappa 0.9 kappa 0.9 kappa 1 kb_relative_information_score 0.9550952903339404 kb_relative_information_score 0.973433658492187 kb_relative_information_score 0.9278159275973149 kb_relative_information_score 0.9362745418040218 kb_relative_information_score 0.9688823276516804 kb_relative_information_score 0.8450316921142358 kb_relative_information_score 0.98459344770181 kb_relative_information_score 0.8925791075705731 kb_relative_information_score 0.8654272080666086 kb_relative_information_score 0.964990437336803 mean_absolute_error 0.026997967847969952 mean_absolute_error 0.01848860464919967 mean_absolute_error 0.041565027019445415 mean_absolute_error 0.031166258573875387 mean_absolute_error 0.020985968241071407 mean_absolute_error 0.08248594192332623 mean_absolute_error 0.011037323559660379 mean_absolute_error 0.05488095648774424 mean_absolute_error 0.07254879872598442 mean_absolute_error 0.02417734419570766 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 1 [1,1,1] 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 1 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 0.060745427657932366 relative_absolute_error 0.04159936046069924 relative_absolute_error 0.09352131079375216 relative_absolute_error 0.0701240817912196 relative_absolute_error 0.047218428542410644 relative_absolute_error 0.18559336932748396 relative_absolute_error 0.024833978009235844 relative_absolute_error 0.12348215209742451 relative_absolute_error 0.1632347971334649 relative_absolute_error 0.05439902444034222 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 0.0913243820172043 root_mean_squared_error 0.04156233543371584 root_mean_squared_error 0.12585830773538778 root_mean_squared_error 0.1307271397419779 root_mean_squared_error 0.05485202266122967 root_mean_squared_error 0.20216509891144774 root_mean_squared_error 0.020957758892940503 root_mean_squared_error 0.1631737729188261 root_mean_squared_error 0.17760594021964998 root_mean_squared_error 0.04886145882715428 root_relative_squared_error 0.19372826943610785 root_relative_squared_error 0.08816702768139117 root_relative_squared_error 0.266985788605068 root_relative_squared_error 0.2773141409900219 root_relative_squared_error 0.116358711556661 root_relative_squared_error 0.4288569370786014 root_relative_squared_error 0.04445812029501269 root_relative_squared_error 0.34614384402808723 root_relative_squared_error 0.3767590941249812 root_relative_squared_error 0.10365080662604424 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 1 [1,1,1] 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 468.75 usercpu_time_millis 500 usercpu_time_millis 484.375 usercpu_time_millis 468.75 usercpu_time_millis 484.375 usercpu_time_millis 484.375 usercpu_time_millis 484.375 usercpu_time_millis 500 usercpu_time_millis 468.75 usercpu_time_millis 468.75 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 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 468.75 usercpu_time_millis_training 484.375 usercpu_time_millis_training 484.375 usercpu_time_millis_training 468.75 usercpu_time_millis_training 484.375 usercpu_time_millis_training 484.375 usercpu_time_millis_training 484.375 usercpu_time_millis_training 500 usercpu_time_millis_training 468.75 usercpu_time_millis_training 468.75 wall_clock_time_millis 475.7263660430908 wall_clock_time_millis 488.7223243713379 wall_clock_time_millis 486.7434501647949 wall_clock_time_millis 471.73213958740234 wall_clock_time_millis 477.7231216430664 wall_clock_time_millis 485.72230339050293 wall_clock_time_millis 474.7505187988281 wall_clock_time_millis 505.72991371154785 wall_clock_time_millis 456.7413330078125 wall_clock_time_millis 473.74701499938965 wall_clock_time_millis_testing 1.9991397857666016 wall_clock_time_millis_testing 1.9986629486083984 wall_clock_time_millis_testing 1.9984245300292969 wall_clock_time_millis_testing 1.9989013671875 wall_clock_time_millis_testing 2.9976367950439453 wall_clock_time_millis_testing 1.9996166229248047 wall_clock_time_millis_testing 1.9981861114501953 wall_clock_time_millis_testing 2.0227432250976562 wall_clock_time_millis_testing 2.0017623901367188 wall_clock_time_millis_testing 1.9991397857666016 wall_clock_time_millis_training 473.7272262573242 wall_clock_time_millis_training 486.7236614227295 wall_clock_time_millis_training 484.7450256347656 wall_clock_time_millis_training 469.73323822021484 wall_clock_time_millis_training 474.72548484802246 wall_clock_time_millis_training 483.7226867675781 wall_clock_time_millis_training 472.75233268737793 wall_clock_time_millis_training 503.7071704864502 wall_clock_time_millis_training 454.7395706176758 wall_clock_time_millis_training 471.74787521362305 weighted_recall 1 [1,1,1] weighted_recall 1 [1,1,1] weighted_recall 1 [1,1,1] weighted_recall 0.9333333333333333 [1,0.8,1] weighted_recall 1 [1,1,1] weighted_recall 0.9333333333333333 [1,0.8,1] 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]