10590819 32117 VAIBHAV JAISWAL 59 Supervised Classification predictive_accuracy 19162 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.tree._classes.DecisionTreeClassifier)(1) 8304366 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 ccp_alpha 0.0 19085 class_weight null 19085 criterion "gini" 19085 max_depth null 19085 max_features null 19085 max_leaf_nodes null 19085 min_impurity_decrease 0.0 19085 min_samples_leaf 1 19085 min_samples_split 2 19085 min_weight_fraction_leaf 0.0 19085 random_state 40607 19085 splitter "best" 19085 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 19162 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"}}] 19162 verbose false 19162 openml-python Sklearn_1.0.2. 61 iris https://www.openml.org/data/download/61/dataset_61_iris.arff -1 22109234 description https://api.openml.org/data/download/22109234/description.xml -1 22109235 predictions https://api.openml.org/data/download/22109235/predictions.arff area_under_roc_curve 0.97 [1,0.955,0.955] average_cost 0 f_measure 0.96 [1,0.94,0.94] kappa 0.94 kb_relative_information_score 0.945237190142858 mean_absolute_error 0.026666666666666665 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 0.060000000000000143 root_mean_prior_squared_error 0.4714045207910311 root_mean_squared_error 0.1632993161855452 root_relative_squared_error 0.34641016151377585 total_cost 0 unweighted_recall 0.96 [1,0.94,0.94] 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 0.95 [1,0.95,0.9] area_under_roc_curve 0.9 [1,0.85,0.85] 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 0.9326599326599326 [1,0.909091,0.888889] f_measure 0.8666666666666667 [1,0.8,0.8] f_measure 1 [1,1,1] kappa 0.9 kappa 1 kappa 1 kappa 0.9 kappa 1 kappa 0.9 kappa 1 kappa 0.9 kappa 0.8 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 0.9087286502380971 kb_relative_information_score 0.8174573004761941 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 0.04444444444444444 mean_absolute_error 0.08888888888888888 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 0.9444444444444445 [1,0.833333,1] precision 0.8666666666666667 [1,0.8,0.8] 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 0.9333333333333332 predictive_accuracy 0.8666666666666667 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 0.09999999999999995 relative_absolute_error 0.1999999999999999 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 0.21081851067789195 root_mean_squared_error 0.2981423969999719 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 0.44721359549995787 root_relative_squared_error 0.6324555320336757 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 0.9333333333333332 [1,1,0.8] unweighted_recall 0.8666666666666667 [1,0.8,0.8] 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 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 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 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 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 wall_clock_time_millis 6.99615478515625 wall_clock_time_millis 6.97636604309082 wall_clock_time_millis 5.997180938720703 wall_clock_time_millis 6.971836090087891 wall_clock_time_millis 7.999181747436523 wall_clock_time_millis 8.99505615234375 wall_clock_time_millis 6.999731063842773 wall_clock_time_millis 7.991313934326172 wall_clock_time_millis 9.01341438293457 wall_clock_time_millis 8.016109466552734 wall_clock_time_millis_testing 1.9996166229248047 wall_clock_time_millis_testing 1.9979476928710938 wall_clock_time_millis_testing 0.9989738464355469 wall_clock_time_millis_testing 1.9989013671875 wall_clock_time_millis_testing 1.9803047180175781 wall_clock_time_millis_testing 1.997232437133789 wall_clock_time_millis_testing 1.9974708557128906 wall_clock_time_millis_testing 1.995086669921875 wall_clock_time_millis_testing 1.9989013671875 wall_clock_time_millis_testing 1.9974708557128906 wall_clock_time_millis_training 4.996538162231445 wall_clock_time_millis_training 4.978418350219727 wall_clock_time_millis_training 4.998207092285156 wall_clock_time_millis_training 4.972934722900391 wall_clock_time_millis_training 6.018877029418945 wall_clock_time_millis_training 6.997823715209961 wall_clock_time_millis_training 5.002260208129883 wall_clock_time_millis_training 5.996227264404297 wall_clock_time_millis_training 7.01451301574707 wall_clock_time_millis_training 6.018638610839844 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 0.9333333333333333 [1,1,0.8] weighted_recall 0.8666666666666667 [1,0.8,0.8] weighted_recall 1 [1,1,1]