10590845 32117 VAIBHAV JAISWAL 59 Supervised Classification predictive_accuracy 19165 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.svm._classes.SVC)(1) 8304367 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 19165 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"}}] 19165 verbose false 19165 C 1.0 19166 break_ties false 19166 cache_size 200 19166 class_weight null 19166 coef0 0.0 19166 decision_function_shape "ovr" 19166 degree 3 19166 gamma "scale" 19166 kernel "rbf" 19166 max_iter -1 19166 probability false 19166 random_state 35922 19166 shrinking true 19166 tol 0.001 19166 verbose false 19166 openml-python Sklearn_1.0.2. 61 iris https://www.openml.org/data/download/61/dataset_61_iris.arff -1 22109286 description https://api.openml.org/data/download/22109286/description.xml -1 22109287 predictions https://api.openml.org/data/download/22109287/predictions.arff area_under_roc_curve 0.975 [1,0.965,0.96] average_cost 0 f_measure 0.9666633329999667 [1,0.950495,0.949495] kappa 0.9499999999999998 kb_relative_information_score 0.9543643251190486 mean_absolute_error 0.02222222222222222 mean_prior_absolute_error 0.44444444444444337 weighted_recall 0.9666666666666667 [1,0.96,0.94] number_of_instances 150 [50,50,50] precision 0.9667867146858744 [1,0.941176,0.959184] predictive_accuracy 0.9666666666666667 prior_entropy 1.5849625007211599 relative_absolute_error 0.050000000000000114 root_mean_prior_squared_error 0.4714045207910311 root_mean_squared_error 0.14907119849998596 root_relative_squared_error 0.3162277660168382 total_cost 0 unweighted_recall 0.9666666666666667 [1,0.96,0.94] area_under_roc_curve 0.95 [1,0.95,0.9] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.95 [1,0.9,0.95] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.95 [1,0.9,0.95] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.9 [1,0.9,0.8] 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 1 [1,1,1] 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 1 kappa 1 kb_relative_information_score 0.9087286502380971 kb_relative_information_score 1.0000000000000002 kb_relative_information_score 1.0000000000000002 kb_relative_information_score 0.9087286502380971 kb_relative_information_score 1.0000000000000002 kb_relative_information_score 0.9087286502380971 kb_relative_information_score 1.0000000000000002 kb_relative_information_score 0.8174573004761941 kb_relative_information_score 1.0000000000000002 kb_relative_information_score 1.0000000000000002 mean_absolute_error 0.04444444444444444 mean_absolute_error 0 mean_absolute_error 0 mean_absolute_error 0.04444444444444444 mean_absolute_error 0 mean_absolute_error 0.04444444444444444 mean_absolute_error 0 mean_absolute_error 0.08888888888888888 mean_absolute_error 0 mean_absolute_error 0 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 1 [1,1,1] 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 1 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 0.09999999999999995 relative_absolute_error 0 relative_absolute_error 0 relative_absolute_error 0.09999999999999995 relative_absolute_error 0 relative_absolute_error 0.09999999999999995 relative_absolute_error 0 relative_absolute_error 0.1999999999999999 relative_absolute_error 0 relative_absolute_error 0 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 0.21081851067789195 root_mean_squared_error 0 root_mean_squared_error 0 root_mean_squared_error 0.21081851067789195 root_mean_squared_error 0 root_mean_squared_error 0.21081851067789195 root_mean_squared_error 0 root_mean_squared_error 0.2981423969999719 root_mean_squared_error 0 root_mean_squared_error 0 root_relative_squared_error 0.44721359549995787 root_relative_squared_error 0 root_relative_squared_error 0 root_relative_squared_error 0.44721359549995787 root_relative_squared_error 0 root_relative_squared_error 0.44721359549995787 root_relative_squared_error 0 root_relative_squared_error 0.6324555320336757 root_relative_squared_error 0 root_relative_squared_error 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 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 1 [1,1,1] unweighted_recall 1 [1,1,1] usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 0 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 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 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_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 wall_clock_time_millis 7.990837097167969 wall_clock_time_millis 7.998228073120117 wall_clock_time_millis 6.994962692260742 wall_clock_time_millis 7.999181747436523 wall_clock_time_millis 6.995916366577148 wall_clock_time_millis 11.993169784545898 wall_clock_time_millis 10.994195938110352 wall_clock_time_millis 7.994890213012695 wall_clock_time_millis 9.016752243041992 wall_clock_time_millis 7.993936538696289 wall_clock_time_millis_testing 1.9948482513427734 wall_clock_time_millis_testing 1.9996166229248047 wall_clock_time_millis_testing 1.9977092742919922 wall_clock_time_millis_testing 1.9977092742919922 wall_clock_time_millis_testing 1.9986629486083984 wall_clock_time_millis_testing 2.99835205078125 wall_clock_time_millis_testing 2.996206283569336 wall_clock_time_millis_testing 1.9991397857666016 wall_clock_time_millis_testing 2.000093460083008 wall_clock_time_millis_testing 2.0003318786621094 wall_clock_time_millis_training 5.995988845825195 wall_clock_time_millis_training 5.9986114501953125 wall_clock_time_millis_training 4.99725341796875 wall_clock_time_millis_training 6.001472473144531 wall_clock_time_millis_training 4.99725341796875 wall_clock_time_millis_training 8.994817733764648 wall_clock_time_millis_training 7.997989654541016 wall_clock_time_millis_training 5.995750427246094 wall_clock_time_millis_training 7.016658782958984 wall_clock_time_millis_training 5.99360466003418 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 1 [1,1,1] weighted_recall 1 [1,1,1]