10590861 32117 VAIBHAV JAISWAL 59 Supervised Classification predictive_accuracy 19172 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._forest.ExtraTreesClassifier)(1) 8304371 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 19172 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"}}] 19172 verbose false 19172 bootstrap false 19173 ccp_alpha 0.0 19173 class_weight null 19173 criterion "gini" 19173 max_depth null 19173 max_features "auto" 19173 max_leaf_nodes null 19173 max_samples null 19173 min_impurity_decrease 0.0 19173 min_samples_leaf 1 19173 min_samples_split 2 19173 min_weight_fraction_leaf 0.0 19173 n_estimators 100 19173 n_jobs null 19173 oob_score false 19173 random_state 40064 19173 verbose 0 19173 warm_start false 19173 openml-python Sklearn_1.0.2. 61 iris https://www.openml.org/data/download/61/dataset_61_iris.arff -1 22109318 description https://api.openml.org/data/download/22109318/description.xml -1 22109319 predictions https://api.openml.org/data/download/22109319/predictions.arff area_under_roc_curve 0.9957333333333332 [1,0.9934,0.9938] average_cost 0 f_measure 0.9533286661999534 [1,0.929293,0.930693] kappa 0.93 kb_relative_information_score 0.9176264817582684 mean_absolute_error 0.04373333333333334 mean_prior_absolute_error 0.44444444444444337 weighted_recall 0.9533333333333334 [1,0.92,0.94] number_of_instances 150 [50,50,50] precision 0.9534480458850206 [1,0.938776,0.921569] predictive_accuracy 0.9533333333333333 prior_entropy 1.5849625007211599 relative_absolute_error 0.09840000000000025 root_mean_prior_squared_error 0.4714045207910311 root_mean_squared_error 0.15089363435509429 root_relative_squared_error 0.3200937362711121 total_cost 0 unweighted_recall 0.9533333333333333 [1,0.92,0.94] 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 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 0.9326599326599326 [1,0.888889,0.909091] 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 0.9 kappa 0.9 kappa 1 kappa 0.9 kappa 1 kappa 0.8 kappa 0.9 kappa 1 kb_relative_information_score 0.8952722637183241 kb_relative_information_score 0.957693503594392 kb_relative_information_score 0.9194213595089483 kb_relative_information_score 0.9157890986614386 kb_relative_information_score 0.9802497862903636 kb_relative_information_score 0.8572996897782847 kb_relative_information_score 0.9771130331123246 kb_relative_information_score 0.8378582803818049 kb_relative_information_score 0.8824444207504821 kb_relative_information_score 0.9531233817863235 mean_absolute_error 0.05422222222222222 mean_absolute_error 0.02888888888888889 mean_absolute_error 0.03866666666666667 mean_absolute_error 0.04044444444444444 mean_absolute_error 0.013777777777777776 mean_absolute_error 0.07733333333333334 mean_absolute_error 0.016 mean_absolute_error 0.07555555555555557 mean_absolute_error 0.06133333333333333 mean_absolute_error 0.03111111111111111 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 0.9444444444444445 [1,1,0.833333] 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 0.9333333333333332 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 0.12199999999999994 relative_absolute_error 0.06499999999999999 relative_absolute_error 0.08699999999999998 relative_absolute_error 0.09099999999999996 relative_absolute_error 0.030999999999999982 relative_absolute_error 0.17399999999999996 relative_absolute_error 0.03599999999999999 relative_absolute_error 0.16999999999999996 relative_absolute_error 0.13799999999999996 relative_absolute_error 0.06999999999999998 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 0.18081297888518216 root_mean_squared_error 0.06128258770283413 root_mean_squared_error 0.15142288099520787 root_mean_squared_error 0.16212478047616424 root_mean_squared_error 0.035714920629276996 root_mean_squared_error 0.20051045968837744 root_mean_squared_error 0.03771236166328253 root_mean_squared_error 0.24548364960262062 root_mean_squared_error 0.1840531324252743 root_mean_squared_error 0.07061633427661525 root_relative_squared_error 0.3835622504887569 root_relative_squared_error 0.13 root_relative_squared_error 0.32121643793554516 root_relative_squared_error 0.3439185950192284 root_relative_squared_error 0.07576278769950323 root_relative_squared_error 0.42534691723345064 root_relative_squared_error 0.07999999999999999 root_relative_squared_error 0.5207494599133061 root_relative_squared_error 0.39043565410961123 root_relative_squared_error 0.149799866488592 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 0.9333333333333332 [1,0.8,1] 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 140.625 usercpu_time_millis 156.25 usercpu_time_millis 156.25 usercpu_time_millis 140.625 usercpu_time_millis 140.625 usercpu_time_millis 156.25 usercpu_time_millis 140.625 usercpu_time_millis 140.625 usercpu_time_millis 156.25 usercpu_time_millis 140.625 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_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_testing 15.625 usercpu_time_millis_training 125 usercpu_time_millis_training 140.625 usercpu_time_millis_training 140.625 usercpu_time_millis_training 125 usercpu_time_millis_training 125 usercpu_time_millis_training 140.625 usercpu_time_millis_training 125 usercpu_time_millis_training 125 usercpu_time_millis_training 140.625 usercpu_time_millis_training 125 wall_clock_time_millis 140.93756675720215 wall_clock_time_millis 150.89035034179688 wall_clock_time_millis 150.91490745544434 wall_clock_time_millis 149.91426467895508 wall_clock_time_millis 146.91543579101562 wall_clock_time_millis 151.90958976745605 wall_clock_time_millis 143.93973350524902 wall_clock_time_millis 138.92006874084473 wall_clock_time_millis 156.91208839416504 wall_clock_time_millis 145.89285850524902 wall_clock_time_millis_testing 14.010190963745117 wall_clock_time_millis_testing 13.98777961730957 wall_clock_time_millis_testing 15.970230102539062 wall_clock_time_millis_testing 19.98591423034668 wall_clock_time_millis_testing 14.99032974243164 wall_clock_time_millis_testing 17.987489700317383 wall_clock_time_millis_testing 14.991044998168945 wall_clock_time_millis_testing 16.012907028198242 wall_clock_time_millis_testing 17.988920211791992 wall_clock_time_millis_testing 13.988018035888672 wall_clock_time_millis_training 126.92737579345703 wall_clock_time_millis_training 136.9025707244873 wall_clock_time_millis_training 134.94467735290527 wall_clock_time_millis_training 129.9283504486084 wall_clock_time_millis_training 131.92510604858398 wall_clock_time_millis_training 133.92210006713867 wall_clock_time_millis_training 128.94868850708008 wall_clock_time_millis_training 122.90716171264648 wall_clock_time_millis_training 138.92316818237305 wall_clock_time_millis_training 131.90484046936035 weighted_recall 0.9333333333333333 [1,1,0.8] weighted_recall 1 [1,1,1] weighted_recall 0.9333333333333333 [1,0.8,1] 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]