10228048 6138 Felix Neutatz 10101 Supervised Classification 9826 fastsklearnfeature.feature_selection.openml_wrapper.ComplexPipelineWrapper.ComplexPipelineWrapper(my_pipeline=sklearn.pipeline.Pipeline(features=sklearn.pipeline.Pipeline(V2=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer)),classifier=sklearn.linear_model.logistic.LogisticRegression))(1) 8153374 n_jobs null 9799 remainder "drop" 9799 sparse_threshold 0.3 9799 transformer_weights null 9799 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "identity", "step_name": "identity", "argument_1": [1]}}] 9799 accept_sparse false 9800 check_inverse true 9800 func {"oml-python:serialized_object": "function", "value": "fastsklearnfeature.candidates.Identity.identity"} 9800 inv_kw_args null 9800 inverse_func null 9800 kw_args null 9800 pass_y "deprecated" 9800 validate false 9800 C 0.001 9801 class_weight "balanced" 9801 dual false 9801 fit_intercept true 9801 intercept_scaling 1 9801 max_iter 10000 9801 multi_class "auto" 9801 n_jobs null 9801 penalty "l2" 9801 random_state 35360 9801 solver "lbfgs" 9801 tol 0.0001 9801 verbose 0 9801 warm_start false 9801 memory null 9827 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "features", "step_name": "features"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "classifier", "step_name": "classifier"}}] 9827 memory null 9828 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "V2", "step_name": "V2"}}] 9828 openml-python Sklearn_0.20.3. 1464 blood-transfusion-service-center https://www.openml.org/data/download/1586225/php0iVrYT -1 21377069 description https://api.openml.org/data/download/21377069/description.xml -1 21377070 predictions https://api.openml.org/data/download/21377070/predictions.arff area_under_roc_curve 0.593317563571851 [0.593318,0.593318] average_cost 0 f_measure 0.679856586479265 [0.769373,0.393204] kappa 0.1684158098829556 kb_relative_information_score -28.92358622296051 mean_absolute_error 0.3342245989304813 mean_prior_absolute_error 0.3630445632798566 number_of_instances 748 [570,178] precision 0.7005979829280355 [0.811284,0.346154] predictive_accuracy 0.6657754010695187 prior_entropy 0.7928159530865964 recall 0.6657754010695188 [0.731579,0.455056] relative_absolute_error 0.9206159043148674 root_mean_prior_squared_error 0.4258399633559147 root_mean_squared_error 0.5781216125786004 root_relative_squared_error 1.357603001894422 total_cost 0 area_under_roc_curve 0.5365497076023392 [0.53655,0.53655] area_under_roc_curve 0.6345029239766082 [0.634503,0.634503] area_under_roc_curve 0.4970760233918129 [0.497076,0.497076] area_under_roc_curve 0.5614035087719299 [0.561404,0.561404] area_under_roc_curve 0.6578947368421053 [0.657895,0.657895] area_under_roc_curve 0.5716374269005848 [0.571637,0.571637] area_under_roc_curve 0.6622807017543859 [0.662281,0.662281] area_under_roc_curve 0.6301169590643276 [0.630117,0.630117] area_under_roc_curve 0.6862745098039216 [0.686275,0.686275] area_under_roc_curve 0.4979360165118679 [0.497936,0.497936] 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 0.6321582264725061 [0.728972,0.325581] f_measure 0.7333333333333333 [0.824561,0.444444] f_measure 0.6364223602484471 [0.765217,0.228571] f_measure 0.68 [0.789474,0.333333] f_measure 0.6776 [0.74,0.48] f_measure 0.674982674982675 [0.774775,0.358974] f_measure 0.7489691461372878 [0.831858,0.486486] f_measure 0.6645867852091332 [0.732673,0.44898] f_measure 0.7002702702702702 [0.76,0.5] f_measure 0.6242410370850738 [0.733945,0.25641] kappa 0.06451612903225794 kappa 0.26900584795321625 kappa -0.005961251862891171 kappa 0.12280701754385981 kappa 0.24942263279445723 kappa 0.13554633471645922 kappa 0.3185078909612627 kappa 0.20867526377491205 kappa 0.2890312249799839 kappa -0.0037418147801682507 kb_relative_information_score -14.784068412227553 kb_relative_information_score 13.145462567878619 kb_relative_information_score -8.577505972203964 kb_relative_information_score 0.7323376878314225 kb_relative_information_score -5.4742247521921605 kb_relative_information_score -2.370943532180369 kb_relative_information_score 16.24874378789043 kb_relative_information_score -8.577505972203953 kb_relative_information_score -1.8747377627469581 kb_relative_information_score -17.391143862805947 mean_absolute_error 0.38666666666666666 mean_absolute_error 0.26666666666666666 mean_absolute_error 0.36 mean_absolute_error 0.32 mean_absolute_error 0.3466666666666667 mean_absolute_error 0.3333333333333333 mean_absolute_error 0.25333333333333335 mean_absolute_error 0.36 mean_absolute_error 0.32432432432432434 mean_absolute_error 0.3918918918918919 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.35873873873873896 mean_prior_absolute_error 0.35873873873873896 number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 74 [57,17] number_of_instances 74 [57,17] precision 0.66 [0.78,0.28] precision 0.7333333333333333 [0.824561,0.444444] precision 0.6330223123732251 [0.758621,0.235294] precision 0.68 [0.789474,0.333333] precision 0.743953488372093 [0.860465,0.375] precision 0.6851851851851851 [0.796296,0.333333] precision 0.7515413533834586 [0.839286,0.473684] precision 0.7242521994134898 [0.840909,0.354839] precision 0.7696315970884613 [0.883721,0.387097] precision 0.6447268947268948 [0.769231,0.227273] predictive_accuracy 0.6133333333333334 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.64 predictive_accuracy 0.68 predictive_accuracy 0.6533333333333333 predictive_accuracy 0.6666666666666667 predictive_accuracy 0.7466666666666667 predictive_accuracy 0.64 predictive_accuracy 0.6756756756756757 predictive_accuracy 0.6081081081081081 prior_entropy 0.7928159530865964 prior_entropy 0.7928159530865964 prior_entropy 0.7928159530865964 prior_entropy 0.7928159530865964 prior_entropy 0.7928159530865964 prior_entropy 0.7928159530865964 prior_entropy 0.7928159530865964 prior_entropy 0.7928159530865964 prior_entropy 0.7928159530865964 prior_entropy 0.7928159530865964 recall 0.6133333333333333 [0.684211,0.388889] recall 0.7333333333333333 [0.824561,0.444444] recall 0.64 [0.77193,0.222222] recall 0.68 [0.789474,0.333333] recall 0.6533333333333333 [0.649123,0.666667] recall 0.6666666666666666 [0.754386,0.388889] recall 0.7466666666666667 [0.824561,0.5] recall 0.64 [0.649123,0.611111] recall 0.6756756756756757 [0.666667,0.705882] recall 0.6081081081081081 [0.701754,0.294118] relative_absolute_error 1.0619598652409545 relative_absolute_error 0.732386113959279 relative_absolute_error 0.9887212538450265 relative_absolute_error 0.8788633367511348 relative_absolute_error 0.9521019481470627 relative_absolute_error 0.9154826424490986 relative_absolute_error 0.6957668082613151 relative_absolute_error 0.9887212538450265 relative_absolute_error 0.904068307383224 relative_absolute_error 1.0924158714213954 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4207539065176338 root_mean_prior_squared_error 0.4207539065176338 root_mean_squared_error 0.621825270205921 root_mean_squared_error 0.5163977794943222 root_mean_squared_error 0.6 root_mean_squared_error 0.565685424949238 root_mean_squared_error 0.5887840577551898 root_mean_squared_error 0.5773502691896257 root_mean_squared_error 0.5033222956847166 root_mean_squared_error 0.6 root_mean_squared_error 0.5694947974514994 root_mean_squared_error 0.6260126930757011 root_relative_squared_error 1.4559747180184737 root_relative_squared_error 1.2091211911275788 root_relative_squared_error 1.4048718710350763 root_relative_squared_error 1.3245259022761806 root_relative_squared_error 1.3786102680902632 root_relative_squared_error 1.351838588198391 root_relative_squared_error 1.1785055587870965 root_relative_squared_error 1.4048718710350763 root_relative_squared_error 1.3535104217211396 root_relative_squared_error 1.487835723872156 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 usercpu_time_millis 7.536203999999991 usercpu_time_millis 5.759265000000013 usercpu_time_millis 8.26082699999997 usercpu_time_millis 5.2574019999998 usercpu_time_millis 6.85828600000038 usercpu_time_millis 6.72546400000007 usercpu_time_millis 6.037579000000015 usercpu_time_millis 5.465136000000204 usercpu_time_millis 5.960464999999804 usercpu_time_millis 6.243525000000361 usercpu_time_millis_testing 0.7274719999998958 usercpu_time_millis_testing 0.7355530000001664 usercpu_time_millis_testing 0.6577489999997077 usercpu_time_millis_testing 0.41981999999984865 usercpu_time_millis_testing 0.5541570000002771 usercpu_time_millis_testing 0.48216100000031403 usercpu_time_millis_testing 0.4515099999999883 usercpu_time_millis_testing 0.4670990000001929 usercpu_time_millis_testing 0.5853909999999907 usercpu_time_millis_testing 0.5613100000001481 usercpu_time_millis_training 6.808732000000095 usercpu_time_millis_training 5.023711999999847 usercpu_time_millis_training 7.603078000000263 usercpu_time_millis_training 4.837581999999951 usercpu_time_millis_training 6.304129000000103 usercpu_time_millis_training 6.243302999999756 usercpu_time_millis_training 5.586069000000027 usercpu_time_millis_training 4.998037000000011 usercpu_time_millis_training 5.375073999999813 usercpu_time_millis_training 5.6822150000002125