10591292 32117 VAIBHAV JAISWAL 59 Supervised Classification predictive_accuracy 19167 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._forest.RandomForestClassifier)(1) 8304105 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 bootstrap true 19095 ccp_alpha 0.0 19095 class_weight null 19095 criterion "gini" 19095 max_depth null 19095 max_features "auto" 19095 max_leaf_nodes null 19095 max_samples null 19095 min_impurity_decrease 0.0 19095 min_samples_leaf 1 19095 min_samples_split 2 19095 min_weight_fraction_leaf 0.0 19095 n_estimators 100 19095 n_jobs null 19095 oob_score false 19095 random_state 0 19095 verbose 0 19095 warm_start false 19095 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 19167 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"}}] 19167 verbose false 19167 openml-python Sklearn_1.0.2. 61 iris https://www.openml.org/data/download/61/dataset_61_iris.arff -1 22110190 description https://api.openml.org/data/download/22110190/description.xml -1 22110191 predictions https://api.openml.org/data/download/22110191/predictions.arff area_under_roc_curve 0.9967666666666666 [1,0.995,0.9953] average_cost 0 f_measure 0.96 [1,0.94,0.94] kappa 0.94 kb_relative_information_score 0.9304770940752537 mean_absolute_error 0.03666666666666669 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 0.08250000000000025 root_mean_prior_squared_error 0.4714045207910311 root_mean_squared_error 0.1418904115466894 root_relative_squared_error 0.30099501657004263 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 0.9966666666666666 [1,0.99,1] 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 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 0.9220650842826557 kb_relative_information_score 0.9782115942534999 kb_relative_information_score 0.9657755713212781 kb_relative_information_score 0.9211970641010165 kb_relative_information_score 0.9817767611376241 kb_relative_information_score 0.8510557410327138 kb_relative_information_score 0.9950832919693327 kb_relative_information_score 0.8531257324283321 kb_relative_information_score 0.8620083794133186 kb_relative_information_score 0.9744717208127679 mean_absolute_error 0.03644444444444445 mean_absolute_error 0.015111111111111115 mean_absolute_error 0.02088888888888889 mean_absolute_error 0.03644444444444445 mean_absolute_error 0.012444444444444449 mean_absolute_error 0.08088888888888889 mean_absolute_error 0.0035555555555555575 mean_absolute_error 0.07111111111111111 mean_absolute_error 0.07200000000000001 mean_absolute_error 0.01777777777777778 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 0.08199999999999999 relative_absolute_error 0.034 relative_absolute_error 0.046999999999999986 relative_absolute_error 0.08199999999999999 relative_absolute_error 0.028000000000000004 relative_absolute_error 0.1819999999999999 relative_absolute_error 0.008000000000000002 relative_absolute_error 0.15999999999999995 relative_absolute_error 0.16199999999999995 relative_absolute_error 0.039999999999999994 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 0.15637561617251372 root_mean_squared_error 0.039327683210007 root_mean_squared_error 0.07907802054511312 root_mean_squared_error 0.16661332479726826 root_mean_squared_error 0.04000000000000001 root_mean_squared_error 0.20356817039999156 root_mean_squared_error 0.009428090415820638 root_mean_squared_error 0.2354381258656106 root_mean_squared_error 0.20273682995998094 root_mean_squared_error 0.04066120181860508 root_relative_squared_error 0.3317227758234276 root_relative_squared_error 0.08342661445845684 root_relative_squared_error 0.16774981371077582 root_relative_squared_error 0.35344023540055536 root_relative_squared_error 0.08485281374238571 root_relative_squared_error 0.431833301170718 root_relative_squared_error 0.020000000000000007 root_relative_squared_error 0.4994396860482754 root_relative_squared_error 0.4300697617828995 root_relative_squared_error 0.08625543461139128 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 203.125 usercpu_time_millis 203.125 usercpu_time_millis 171.875 usercpu_time_millis 203.125 usercpu_time_millis 171.875 usercpu_time_millis 203.125 usercpu_time_millis 187.5 usercpu_time_millis 187.5 usercpu_time_millis 203.125 usercpu_time_millis 187.5 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 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_training 171.875 usercpu_time_millis_training 187.5 usercpu_time_millis_training 156.25 usercpu_time_millis_training 187.5 usercpu_time_millis_training 171.875 usercpu_time_millis_training 187.5 usercpu_time_millis_training 171.875 usercpu_time_millis_training 171.875 usercpu_time_millis_training 187.5 usercpu_time_millis_training 171.875 wall_clock_time_millis 199.88298416137695 wall_clock_time_millis 203.9036750793457 wall_clock_time_millis 189.89324569702148 wall_clock_time_millis 195.88327407836914 wall_clock_time_millis 192.8880214691162 wall_clock_time_millis 192.91138648986816 wall_clock_time_millis 197.9076862335205 wall_clock_time_millis 182.89732933044434 wall_clock_time_millis 195.88541984558105 wall_clock_time_millis 188.89093399047852 wall_clock_time_millis_testing 27.968406677246094 wall_clock_time_millis_testing 15.016317367553711 wall_clock_time_millis_testing 15.993356704711914 wall_clock_time_millis_testing 13.98921012878418 wall_clock_time_millis_testing 13.9923095703125 wall_clock_time_millis_testing 16.989469528198242 wall_clock_time_millis_testing 14.01066780090332 wall_clock_time_millis_testing 13.990640640258789 wall_clock_time_millis_testing 13.970136642456055 wall_clock_time_millis_testing 14.98866081237793 wall_clock_time_millis_training 171.91457748413086 wall_clock_time_millis_training 188.887357711792 wall_clock_time_millis_training 173.89988899230957 wall_clock_time_millis_training 181.89406394958496 wall_clock_time_millis_training 178.8957118988037 wall_clock_time_millis_training 175.92191696166992 wall_clock_time_millis_training 183.8970184326172 wall_clock_time_millis_training 168.90668869018555 wall_clock_time_millis_training 181.915283203125 wall_clock_time_millis_training 173.9022731781006 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]