9200801 3886 Benjamin Strang 3974 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) 7130665 axis 0 7633 categorical_features [] 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 [] 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 21374 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 1140 AP_Ovary_Lung https://www.openml.org/data/download/54023/AP_Ovary_Lung.arff -1 19328019 description https://api.openml.org/data/download/19328019/description.xml -1 19328020 predictions https://api.openml.org/data/download/19328020/predictions.arff area_under_roc_curve 0.9743065576398909 [0.974307,0.974307] average_cost 0 f_measure 0.93775642678464 [0.950739,0.917355] kappa 0.8682284040995607 kb_relative_information_score 253.65252277432174 mean_absolute_error 0.1134264927631047 mean_prior_absolute_error 0.47546012269938587 number_of_instances 324 [198,126] precision 0.9391670350722074 [0.927885,0.956897] predictive_accuracy 0.9382716049382717 prior_entropy 0.964521851445031 recall 0.9382716049382716 [0.974747,0.880952] relative_absolute_error 0.23856152671465922 root_mean_prior_squared_error 0.48749849810276596 root_mean_squared_error 0.21911082002697466 root_relative_squared_error 0.44945947706445144 total_cost 0 area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9961538461538462 [0.996154,0.996154] area_under_roc_curve 0.9961538461538462 [0.996154,0.996154] area_under_roc_curve 0.9615384615384616 [0.961538,0.961538] area_under_roc_curve 0.9875 [0.9875,0.9875] area_under_roc_curve 0.9958333333333333 [0.995833,0.995833] area_under_roc_curve 0.9541666666666668 [0.954167,0.954167] area_under_roc_curve 0.9125 [0.9125,0.9125] area_under_roc_curve 0.9757085020242915 [0.975709,0.975709] area_under_roc_curve 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 1 [1,1] f_measure 0.9393939393939394 [0.95,0.923077] f_measure 0.9694604582409461 [0.97561,0.96] f_measure 0.9393939393939394 [0.95,0.923077] f_measure 0.9053552492046659 [0.926829,0.869565] f_measure 0.9361471861471862 [0.952381,0.909091] f_measure 0.8722943722943723 [0.904762,0.818182] f_measure 0.9361471861471862 [0.952381,0.909091] f_measure 0.9055769230769231 [0.923077,0.88] f_measure 0.968525641025641 [0.974359,0.96] kappa 1 kappa 0.8730769230769232 kappa 0.9356725146198831 kappa 0.8730769230769232 kappa 0.7966101694915254 kappa 0.8620689655172413 kappa 0.7241379310344828 kappa 0.8620689655172413 kappa 0.8032786885245902 kappa 0.9344262295081968 kb_relative_information_score 25.936717145389224 kb_relative_information_score 27.50081907239376 kb_relative_information_score 27.866531914680753 kb_relative_information_score 27.006018683322374 kb_relative_information_score 21.75736119926414 kb_relative_information_score 26.428864480444282 kb_relative_information_score 21.567655983742664 kb_relative_information_score 24.444547503793043 kb_relative_information_score 24.322429816783163 kb_relative_information_score 26.821576974508385 mean_absolute_error 0.12484190319587783 mean_absolute_error 0.09046629105890405 mean_absolute_error 0.08805826297240184 mean_absolute_error 0.09532984683536808 mean_absolute_error 0.16287484135654076 mean_absolute_error 0.08692968139298841 mean_absolute_error 0.15518799852854387 mean_absolute_error 0.11601328261891186 mean_absolute_error 0.12216268523271885 mean_absolute_error 0.09411918653222476 mean_prior_absolute_error 0.47657557166759623 mean_prior_absolute_error 0.47657557166759623 mean_prior_absolute_error 0.47657557166759623 mean_prior_absolute_error 0.47657557166759623 mean_prior_absolute_error 0.4723926380368098 mean_prior_absolute_error 0.4723926380368098 mean_prior_absolute_error 0.4723926380368098 mean_prior_absolute_error 0.4723926380368098 mean_prior_absolute_error 0.47929447852760737 mean_prior_absolute_error 0.47929447852760737 number_of_instances 33 [20,13] number_of_instances 33 [20,13] number_of_instances 33 [20,13] number_of_instances 33 [20,13] number_of_instances 32 [20,12] number_of_instances 32 [20,12] number_of_instances 32 [20,12] number_of_instances 32 [20,12] number_of_instances 32 [19,13] number_of_instances 32 [19,13] precision 1 [1,1] precision 0.9393939393939394 [0.95,0.923077] precision 0.9711399711399712 [0.952381,1] precision 0.9393939393939394 [0.95,0.923077] precision 0.9063852813852813 [0.904762,0.909091] precision 0.9431818181818181 [0.909091,1] precision 0.8772727272727273 [0.863636,0.9] precision 0.9431818181818181 [0.909091,1] precision 0.9067708333333333 [0.9,0.916667] precision 0.9703125 [0.95,1] predictive_accuracy 1 predictive_accuracy 0.9393939393939393 predictive_accuracy 0.9696969696969697 predictive_accuracy 0.9393939393939393 predictive_accuracy 0.90625 predictive_accuracy 0.9375 predictive_accuracy 0.875 predictive_accuracy 0.9375 predictive_accuracy 0.90625 predictive_accuracy 0.96875 prior_entropy 0.964521851445031 prior_entropy 0.964521851445031 prior_entropy 0.964521851445031 prior_entropy 0.964521851445031 prior_entropy 0.964521851445031 prior_entropy 0.964521851445031 prior_entropy 0.964521851445031 prior_entropy 0.964521851445031 prior_entropy 0.964521851445031 prior_entropy 0.964521851445031 recall 1 [1,1] recall 0.9393939393939394 [0.95,0.923077] recall 0.9696969696969697 [1,0.923077] recall 0.9393939393939394 [0.95,0.923077] recall 0.90625 [0.95,0.833333] recall 0.9375 [1,0.833333] recall 0.875 [0.95,0.75] recall 0.9375 [1,0.833333] recall 0.90625 [0.947368,0.846154] recall 0.96875 [1,0.923077] relative_absolute_error 0.2619561526392147 relative_absolute_error 0.1898256990855646 relative_absolute_error 0.184772926283811 relative_absolute_error 0.2000309132543183 relative_absolute_error 0.3447870018326772 relative_absolute_error 0.1840199748968456 relative_absolute_error 0.32851485402795655 relative_absolute_error 0.24558655931016407 relative_absolute_error 0.2548802264695446 relative_absolute_error 0.19637027078083372 root_mean_prior_squared_error 0.48864121256875365 root_mean_prior_squared_error 0.48864121256875365 root_mean_prior_squared_error 0.48864121256875365 root_mean_prior_squared_error 0.48864121256875365 root_mean_prior_squared_error 0.4843421321647287 root_mean_prior_squared_error 0.4843421321647287 root_mean_prior_squared_error 0.4843421321647287 root_mean_prior_squared_error 0.4843421321647287 root_mean_prior_squared_error 0.49141544692924854 root_mean_prior_squared_error 0.49141544692924854 root_mean_squared_error 0.17053842753837944 root_mean_squared_error 0.17179850331401217 root_mean_squared_error 0.16679521536754904 root_mean_squared_error 0.2411804850686248 root_mean_squared_error 0.24055959678881908 root_mean_squared_error 0.18842675310272455 root_mean_squared_error 0.28791505392650346 root_mean_squared_error 0.2569552371145665 root_mean_squared_error 0.255800248627516 root_mean_squared_error 0.171064961287009 root_relative_squared_error 0.3490054116431779 root_relative_squared_error 0.3515841457802527 root_relative_squared_error 0.3413449604275455 root_relative_squared_error 0.4935737691889625 root_relative_squared_error 0.4966728698857088 root_relative_squared_error 0.38903646944891235 root_relative_squared_error 0.5944456094283807 root_relative_squared_error 0.5305242308079322 root_relative_squared_error 0.5205376636529393 root_relative_squared_error 0.34810660176833635 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