10590816 32117 VAIBHAV JAISWAL 59 Supervised Classification predictive_accuracy 19157 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.linear_model._logistic.LogisticRegression)(1) 8304364 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 19157 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"}}] 19157 verbose false 19157 C 1.0 19158 class_weight null 19158 dual false 19158 fit_intercept true 19158 intercept_scaling 1 19158 l1_ratio null 19158 max_iter 5000 19158 multi_class "auto" 19158 n_jobs null 19158 penalty "l2" 19158 random_state 17773 19158 solver "lbfgs" 19158 tol 0.0001 19158 verbose 0 19158 warm_start false 19158 openml-python Sklearn_1.0.2. 61 iris https://www.openml.org/data/download/61/dataset_61_iris.arff -1 22109228 description https://api.openml.org/data/download/22109228/description.xml -1 22109229 predictions https://api.openml.org/data/download/22109229/predictions.arff area_under_roc_curve 0.9979333333333333 [1,0.997,0.9968] average_cost 0 f_measure 0.96 [1,0.94,0.94] kappa 0.94 kb_relative_information_score 0.8683186410686373 mean_absolute_error 0.08001240956791511 mean_prior_absolute_error 0.44444444444444337 weighted_recall 0.96 [1,0.94,0.94] number_of_instances 150 [50,50,50] precision 0.96 [1,0.94,0.94] predictive_accuracy 0.96 prior_entropy 1.5849625007211599 relative_absolute_error 0.18002792152780944 root_mean_prior_squared_error 0.4714045207910311 root_mean_squared_error 0.1490517323086738 root_relative_squared_error 0.31618647198919614 total_cost 0 unweighted_recall 0.96 [1,0.94,0.94] 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 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 0.9326599326599326 [1,0.909091,0.888889] 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 0.861111111111111 [1,0.833333,0.75] f_measure 0.9326599326599326 [1,0.888889,0.909091] f_measure 1 [1,1,1] kappa 0.9 kappa 1 kappa 1 kappa 0.9 kappa 1 kappa 0.9 kappa 1 kappa 0.8 kappa 0.9 kappa 1 kb_relative_information_score 0.8830735196858756 kb_relative_information_score 0.8971121270314744 kb_relative_information_score 0.8904170843764361 kb_relative_information_score 0.9072511838987536 kb_relative_information_score 0.895962709037547 kb_relative_information_score 0.793024766539609 kb_relative_information_score 0.909828579843088 kb_relative_information_score 0.8237629360506875 kb_relative_information_score 0.810367300364716 kb_relative_information_score 0.8723862038581953 mean_absolute_error 0.07243495889096649 mean_absolute_error 0.06709133297065077 mean_absolute_error 0.06846811116534492 mean_absolute_error 0.05483815483895205 mean_absolute_error 0.06789902982474558 mean_absolute_error 0.11890000553313623 mean_absolute_error 0.060805009205837264 mean_absolute_error 0.09763670885919679 mean_absolute_error 0.11039989452474835 mean_absolute_error 0.08165088986557262 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 0.9444444444444445 [1,0.833333,1] 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 0.9047619047619048 [1,0.714286,1] precision 0.9444444444444445 [1,1,0.833333] precision 1 [1,1,1] predictive_accuracy 0.9333333333333332 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9333333333333332 predictive_accuracy 1 predictive_accuracy 0.9333333333333332 predictive_accuracy 1 predictive_accuracy 0.8666666666666667 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 0.16297865750467455 relative_absolute_error 0.1509554991839642 relative_absolute_error 0.15405325012202603 relative_absolute_error 0.12338584838764208 relative_absolute_error 0.1527728171056775 relative_absolute_error 0.2675250124495564 relative_absolute_error 0.13681127071313381 relative_absolute_error 0.2196825949331927 relative_absolute_error 0.2483997626806837 relative_absolute_error 0.18371450219753832 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 0.13522225982521277 root_mean_squared_error 0.11538962930048483 root_mean_squared_error 0.13091442489068508 root_mean_squared_error 0.1279654711050613 root_mean_squared_error 0.11408989358841319 root_mean_squared_error 0.210209580521922 root_mean_squared_error 0.09289199274588908 root_mean_squared_error 0.1926064144483103 root_mean_squared_error 0.19022031911109208 root_mean_squared_error 0.13392580009970312 root_relative_squared_error 0.28684973066933156 root_relative_squared_error 0.24477836807092423 root_relative_squared_error 0.2777114327860211 root_relative_squared_error 0.2714557571283601 root_relative_squared_error 0.2420212122636557 root_relative_squared_error 0.4459218595722919 root_relative_squared_error 0.19705367396564924 root_relative_squared_error 0.4085799052692805 root_relative_squared_error 0.40351823268876674 root_relative_squared_error 0.2840995242790022 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 0.9333333333333332 [1,1,0.8] 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 0.8666666666666667 [1,1,0.6] unweighted_recall 0.9333333333333332 [1,0.8,1] unweighted_recall 1 [1,1,1] usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 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_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 wall_clock_time_millis 15.987634658813477 wall_clock_time_millis 15.994548797607422 wall_clock_time_millis 14.990568161010742 wall_clock_time_millis 17.986774444580078 wall_clock_time_millis 15.990734100341797 wall_clock_time_millis 17.989397048950195 wall_clock_time_millis 18.00847053527832 wall_clock_time_millis 17.987966537475586 wall_clock_time_millis 20.007610321044922 wall_clock_time_millis 17.009258270263672 wall_clock_time_millis_testing 2.000093460083008 wall_clock_time_millis_testing 1.9984245300292969 wall_clock_time_millis_testing 1.9767284393310547 wall_clock_time_millis_testing 2.9990673065185547 wall_clock_time_millis_testing 1.001119613647461 wall_clock_time_millis_testing 0.9992122650146484 wall_clock_time_millis_testing 1.9991397857666016 wall_clock_time_millis_testing 1.9979476928710938 wall_clock_time_millis_testing 1.9981861114501953 wall_clock_time_millis_testing 0.9996891021728516 wall_clock_time_millis_training 13.987541198730469 wall_clock_time_millis_training 13.996124267578125 wall_clock_time_millis_training 13.013839721679688 wall_clock_time_millis_training 14.987707138061523 wall_clock_time_millis_training 14.989614486694336 wall_clock_time_millis_training 16.990184783935547 wall_clock_time_millis_training 16.00933074951172 wall_clock_time_millis_training 15.990018844604492 wall_clock_time_millis_training 18.009424209594727 wall_clock_time_millis_training 16.00956916809082 weighted_recall 0.9333333333333333 [1,1,0.8] 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 0.8666666666666667 [1,1,0.6] weighted_recall 0.9333333333333333 [1,0.8,1] weighted_recall 1 [1,1,1]