9200647 3886 Benjamin Strang 3778 Supervised Classification predictive_accuracy 7756 sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one-hot-encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,feature-scaling=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.svm.classes.SVC))(1) 7130525 axis 0 7633 categorical_features [1, 2, 4] 7633 copy true 7633 fill_empty 0 7633 missing_values "NaN" 7633 strategy "median" 7633 strategy_nominal "most_frequent" 7633 verbose 0 7633 categorical_features [1, 2, 4] 7644 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7644 handle_unknown "ignore" 7644 n_values "auto" 7644 sparse true 7644 threshold 0.0 7645 copy true 7646 with_mean false 7646 with_std true 7646 C 1.0 7650 cache_size 1000 7650 class_weight null 7650 coef0 0.0 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma "auto" 7650 kernel "rbf" 7650 max_iter 10000 7650 probability true 7650 random_state 45900 7650 shrinking true 7650 tol 0.001 7650 verbose false 7650 cv 3 7756 error_score "raise" 7756 fit_params null 7756 iid true 7756 n_iter 250 7756 n_jobs -1 7756 param_distributions {"classifier__C": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "mylib.distributions.loguniform_gen", "a": 0.03125, "b": 32768, "args": [], "kwds": {"base": 2, "low": 0.03125, "high": 32768}}}, "classifier__gamma": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "mylib.distributions.loguniform_gen", "a": 3.0517578125e-05, "b": 8, "args": [], "kwds": {"base": 2, "low": 3.0517578125e-05, "high": 8}}}, "classifier__shrinking": [true, false], "classifier__tol": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "mylib.distributions.loguniform_gen", "a": 1e-05, "b": 0.1, "args": [], "kwds": {"base": 10, "low": 1e-05, "high": 0.1}}}, "imputation__strategy": ["mean", "median", "most_frequent"]} 7756 pre_dispatch "2*n_jobs" 7756 random_state 1 7756 refit true 7756 return_train_score "warn" 7756 scoring null 7756 verbose 0 7756 memory null 7757 openml-python Sklearn_0.19.1. study_123 915 plasma_retinol https://www.openml.org/data/download/53449/plasma_retinol.arff -1 19327715 description https://api.openml.org/data/download/19327715/description.xml -1 19327716 predictions https://api.openml.org/data/download/19327716/predictions.arff area_under_roc_curve 0.525716764438569 [0.525717,0.525717] average_cost 0 f_measure 0.45167252723281415 [0.713987,0.092715] kappa -0.008836524300441847 kb_relative_information_score 0.3210997662452722 mean_absolute_error 0.4868461016202772 mean_prior_absolute_error 0.48797756747283555 number_of_instances 315 [182,133] precision 0.4968574635241302 [0.575758,0.388889] predictive_accuracy 0.5650793650793651 prior_entropy 0.9826954278450184 recall 0.5650793650793651 [0.93956,0.052632] relative_absolute_error 0.9976813158473287 root_mean_prior_squared_error 0.49391381645157195 root_mean_squared_error 0.49545027517843554 root_relative_squared_error 1.003110783046933 total_cost 0 area_under_roc_curve 0.6396761133603239 [0.639676,0.639676] area_under_roc_curve 0.5263157894736842 [0.526316,0.526316] area_under_roc_curve 0.5753968253968254 [0.575397,0.575397] area_under_roc_curve 0.5178571428571429 [0.517857,0.517857] area_under_roc_curve 0.5555555555555556 [0.555556,0.555556] area_under_roc_curve 0.47863247863247865 [0.478632,0.478632] area_under_roc_curve 0.5341880341880342 [0.534188,0.534188] area_under_roc_curve 0.5897435897435898 [0.589744,0.589744] area_under_roc_curve 0.43589743589743596 [0.435897,0.435897] area_under_roc_curve 0.5170940170940171 [0.517094,0.517094] 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 0.5115749525616697 [0.711111,0.235294] f_measure 0.4563464235624123 [0.695652,0.125] f_measure 0.4563464235624123 [0.695652,0.125] f_measure 0.4880296729234573 [0.634146,0.285714] kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0.04728132387706861 kappa -0.03827751196172264 kappa -0.03827751196172264 kappa 0 kappa -0.04966139954853274 kb_relative_information_score 0.22250577988887354 kb_relative_information_score 0.05135770641819351 kb_relative_information_score 0.35281278924184134 kb_relative_information_score 0.8084782770369793 kb_relative_information_score 0.011608816576700966 kb_relative_information_score -0.003980652623626351 kb_relative_information_score -0.08889271681834607 kb_relative_information_score 0.02427164267730297 kb_relative_information_score -0.131597874018786 kb_relative_information_score -0.9254640021338613 mean_absolute_error 0.48306137532375587 mean_absolute_error 0.4843558699641247 mean_absolute_error 0.4863703482945046 mean_absolute_error 0.47913140366973966 mean_absolute_error 0.4900591243722271 mean_absolute_error 0.4856462158397792 mean_absolute_error 0.4874385126579045 mean_absolute_error 0.48615686967011645 mean_absolute_error 0.48890660824946297 mean_absolute_error 0.4976976683700942 mean_prior_absolute_error 0.48550867507886475 mean_prior_absolute_error 0.48550867507886475 mean_prior_absolute_error 0.49033911671924324 mean_prior_absolute_error 0.49033911671924324 mean_prior_absolute_error 0.49033911671924324 mean_prior_absolute_error 0.48753434415386215 mean_prior_absolute_error 0.48753434415386215 mean_prior_absolute_error 0.48753434415386215 mean_prior_absolute_error 0.48753434415386215 mean_prior_absolute_error 0.48753434415386215 number_of_instances 32 [19,13] number_of_instances 32 [19,13] number_of_instances 32 [18,14] number_of_instances 32 [18,14] number_of_instances 32 [18,14] number_of_instances 31 [18,13] number_of_instances 31 [18,13] number_of_instances 31 [18,13] number_of_instances 31 [18,13] number_of_instances 31 [18,13] precision 0.553763440860215 [0.592593,0.5] precision 0.47158218125960055 [0.571429,0.333333] precision 0.47158218125960055 [0.571429,0.333333] precision 0.4854488078541374 [0.565217,0.375] predictive_accuracy 0.59375 predictive_accuracy 0.59375 predictive_accuracy 0.5625 predictive_accuracy 0.5625 predictive_accuracy 0.5625 predictive_accuracy 0.5806451612903225 predictive_accuracy 0.5483870967741935 predictive_accuracy 0.5483870967741935 predictive_accuracy 0.5806451612903225 predictive_accuracy 0.5161290322580645 prior_entropy 0.9826954278450184 prior_entropy 0.9826954278450184 prior_entropy 0.9826954278450184 prior_entropy 0.9826954278450184 prior_entropy 0.9826954278450184 prior_entropy 0.9826954278450184 prior_entropy 0.9826954278450184 prior_entropy 0.9826954278450184 prior_entropy 0.9826954278450184 prior_entropy 0.9826954278450184 recall 0.59375 [1,0] recall 0.59375 [1,0] recall 0.5625 [1,0] recall 0.5625 [1,0] recall 0.5625 [1,0] recall 0.5806451612903226 [0.888889,0.153846] recall 0.5483870967741935 [0.888889,0.076923] recall 0.5483870967741935 [0.888889,0.076923] recall 0.5806451612903226 [1,0] recall 0.5161290322580645 [0.722222,0.230769] relative_absolute_error 0.9949593078749595 relative_absolute_error 0.9976255725717924 relative_absolute_error 0.9919060742057602 relative_absolute_error 0.9771429350273092 relative_absolute_error 0.9994289822339905 relative_absolute_error 0.996127189116574 relative_absolute_error 0.9998034364202095 relative_absolute_error 0.9971746103628117 relative_absolute_error 1.0028147024144163 relative_absolute_error 1.0208463759283892 root_mean_prior_squared_error 0.4914081457279547 root_mean_prior_squared_error 0.4914081457279547 root_mean_prior_squared_error 0.4962987077639487 root_mean_prior_squared_error 0.4962987077639487 root_mean_prior_squared_error 0.4962987077639487 root_mean_prior_squared_error 0.49346492759139854 root_mean_prior_squared_error 0.49346492759139854 root_mean_prior_squared_error 0.49346492759139854 root_mean_prior_squared_error 0.49346492759139854 root_mean_prior_squared_error 0.49346492759139854 root_mean_squared_error 0.4883573080597874 root_mean_squared_error 0.4902451143718975 root_mean_squared_error 0.49426826593844436 root_mean_squared_error 0.48842390816369424 root_mean_squared_error 0.49637144292989527 root_mean_squared_error 0.49885336663709445 root_mean_squared_error 0.49882763887970216 root_mean_squared_error 0.4961218544563014 root_mean_squared_error 0.4970479335485603 root_mean_squared_error 0.5063374506303399 root_relative_squared_error 0.9937916420501172 root_relative_squared_error 0.9976332680559572 root_relative_squared_error 0.9959088311258105 root_relative_squared_error 0.9841329435739737 root_relative_squared_error 1.0001465552192839 root_relative_squared_error 1.0109195988294384 root_relative_squared_error 1.010867461877137 root_relative_squared_error 1.0053842263479014 root_relative_squared_error 1.0072609131000463 root_relative_squared_error 1.026085993794477 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