10315666 8323 Heinrich Peters 31 Supervised Classification 15083 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkceigenpro=sklearn_extra.fast_kernel.FKCEigenPro)(1) 8174182 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 memory null 15083 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "fkceigenpro", "step_name": "fkceigenpro"}}] 15083 verbose false 15083 bandwidth 5 15084 batch_size "auto" 15084 coef0 1 15084 degree 2 15084 gamma 100.0 15084 kernel "laplace" 15084 kernel_params null 15084 n_components 500 15084 n_epoch 2 15084 random_state 17317 15084 subsample_size "auto" 15084 openml-python Sklearn_0.21.2. 31 credit-g https://www.openml.org/data/download/31/dataset_31_credit-g.arff -1 21552992 description https://api.openml.org/data/download/21552992/description.xml -1 21552993 predictions https://api.openml.org/data/download/21552993/predictions.arff area_under_roc_curve 0.689047619047619 [0.689048,0.689048] average_cost 0 f_measure 0.7612609206989248 [0.848118,0.558594] kappa 0.4126819126819128 kb_relative_information_score 0.42289218579065296 mean_absolute_error 0.226 mean_prior_absolute_error 0.42015968063872167 number_of_instances 1000 [700,300] precision 0.7628914854898957 [0.800761,0.674528] predictive_accuracy 0.774 prior_entropy 0.8812914463598482 recall 0.774 [0.901429,0.476667] relative_absolute_error 0.5378907363420439 root_mean_prior_squared_error 0.45825774337365466 root_mean_squared_error 0.4753945729601885 root_relative_squared_error 1.0373956137879394 total_cost 0 area_under_roc_curve 0.7285714285714286 [0.728571,0.728571] area_under_roc_curve 0.6047619047619047 [0.604762,0.604762] area_under_roc_curve 0.6452380952380953 [0.645238,0.645238] area_under_roc_curve 0.7380952380952382 [0.738095,0.738095] area_under_roc_curve 0.6523809523809524 [0.652381,0.652381] area_under_roc_curve 0.7023809523809524 [0.702381,0.702381] area_under_roc_curve 0.6761904761904762 [0.67619,0.67619] area_under_roc_curve 0.7285714285714286 [0.728571,0.728571] area_under_roc_curve 0.6880952380952381 [0.688095,0.688095] area_under_roc_curve 0.7261904761904762 [0.72619,0.72619] 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 0.8046052631578948 [0.881579,0.625] f_measure 0.6990958408679927 [0.835443,0.380952] f_measure 0.7185983827493261 [0.816327,0.490566] f_measure 0.78 [0.842857,0.633333] f_measure 0.727027027027027 [0.824324,0.5] f_measure 0.7635109717868338 [0.841379,0.581818] f_measure 0.748024948024948 [0.837838,0.538462] f_measure 0.8046052631578948 [0.881579,0.625] f_measure 0.7698790154359617 [0.862745,0.553191] f_measure 0.784075235109718 [0.855172,0.618182] kappa 0.5161290322580644 kappa 0.2528735632183907 kappa 0.3112244897959183 kappa 0.47619047619047633 kappa 0.32989690721649484 kappa 0.4250000000000001 kappa 0.3814432989690722 kappa 0.5161290322580644 kappa 0.4293478260869566 kappa 0.47500000000000014 kb_relative_information_score 0.5403566081518416 kb_relative_information_score 0.33607065621932586 kb_relative_information_score 0.3105349122277612 kb_relative_information_score 0.438213632185583 kb_relative_information_score 0.33607065621932536 kb_relative_information_score 0.4126778881940188 kb_relative_information_score 0.3871421442024542 kb_relative_information_score 0.5403566081518411 kb_relative_information_score 0.4637493761771478 kb_relative_information_score 0.46374937617714757 mean_absolute_error 0.18 mean_absolute_error 0.26 mean_absolute_error 0.27 mean_absolute_error 0.22 mean_absolute_error 0.26 mean_absolute_error 0.23 mean_absolute_error 0.24 mean_absolute_error 0.18 mean_absolute_error 0.21 mean_absolute_error 0.21 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] precision 0.8219512195121951 [0.817073,0.833333] precision 0.725 [0.75,0.666667] precision 0.7150197628458499 [0.779221,0.565217] precision 0.78 [0.842857,0.633333] precision 0.7247086247086247 [0.782051,0.590909] precision 0.7613333333333334 [0.813333,0.64] precision 0.7473193473193472 [0.794872,0.636364] precision 0.8219512195121951 [0.817073,0.833333] precision 0.7860382707299788 [0.795181,0.764706] precision 0.7826666666666666 [0.826667,0.68] predictive_accuracy 0.82 predictive_accuracy 0.74 predictive_accuracy 0.73 predictive_accuracy 0.78 predictive_accuracy 0.74 predictive_accuracy 0.77 predictive_accuracy 0.76 predictive_accuracy 0.82 predictive_accuracy 0.79 predictive_accuracy 0.79 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 recall 0.82 [0.957143,0.5] recall 0.74 [0.942857,0.266667] recall 0.73 [0.857143,0.433333] recall 0.78 [0.842857,0.633333] recall 0.74 [0.871429,0.433333] recall 0.77 [0.871429,0.533333] recall 0.76 [0.885714,0.466667] recall 0.82 [0.957143,0.5] recall 0.79 [0.942857,0.433333] recall 0.79 [0.885714,0.566667] relative_absolute_error 0.4284085510688829 relative_absolute_error 0.6188123515439421 relative_absolute_error 0.6426128266033244 relative_absolute_error 0.5236104513064125 relative_absolute_error 0.6188123515439421 relative_absolute_error 0.5474109263657949 relative_absolute_error 0.5712114014251772 relative_absolute_error 0.4284085510688829 relative_absolute_error 0.49980997624703005 relative_absolute_error 0.49980997624703005 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_squared_error 0.4242640687119285 root_mean_squared_error 0.5099019513592785 root_mean_squared_error 0.5196152422706632 root_mean_squared_error 0.469041575982343 root_mean_squared_error 0.5099019513592785 root_mean_squared_error 0.47958315233127197 root_mean_squared_error 0.4898979485566356 root_mean_squared_error 0.4242640687119285 root_mean_squared_error 0.458257569495584 root_mean_squared_error 0.458257569495584 root_relative_squared_error 0.9258197484859326 root_relative_squared_error 1.1126968583344015 root_relative_squared_error 1.133892988791197 root_relative_squared_error 1.0235322430763485 root_relative_squared_error 1.1126968583344015 root_relative_squared_error 1.0465358398542726 root_relative_squared_error 1.0690445620188496 root_relative_squared_error 0.9258197484859326 root_relative_squared_error 0.9999996205670852 root_relative_squared_error 0.9999996205670852 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 277.3337959952187 usercpu_time_millis 250.14595600077882 usercpu_time_millis 251.18762100464664 usercpu_time_millis 250.38827299431432 usercpu_time_millis 248.03642599727027 usercpu_time_millis 250.02386802225374 usercpu_time_millis 249.57978999009356 usercpu_time_millis 250.1446170062991 usercpu_time_millis 250.05341198993847 usercpu_time_millis 270.5932929966366 usercpu_time_millis_testing 2.3800539929652587 usercpu_time_millis_testing 2.3395600001094863 usercpu_time_millis_testing 2.305625006556511 usercpu_time_millis_testing 2.289812997332774 usercpu_time_millis_testing 2.431964996503666 usercpu_time_millis_testing 2.669681009138003 usercpu_time_millis_testing 2.3492539912695065 usercpu_time_millis_testing 2.3063770058797672 usercpu_time_millis_testing 2.608358990983106 usercpu_time_millis_testing 2.3007749987300485 usercpu_time_millis_training 274.9537420022534 usercpu_time_millis_training 247.80639600066934 usercpu_time_millis_training 248.88199599809013 usercpu_time_millis_training 248.09845999698155 usercpu_time_millis_training 245.6044610007666 usercpu_time_millis_training 247.35418701311573 usercpu_time_millis_training 247.23053599882405 usercpu_time_millis_training 247.83824000041932 usercpu_time_millis_training 247.44505299895536 usercpu_time_millis_training 268.29251799790654 wall_clock_time_millis 277.3447036743164 wall_clock_time_millis 250.16307830810547 wall_clock_time_millis 251.20115280151367 wall_clock_time_millis 250.40292739868164 wall_clock_time_millis 248.06666374206543 wall_clock_time_millis 250.03790855407715 wall_clock_time_millis 249.59397315979004 wall_clock_time_millis 250.16283988952637 wall_clock_time_millis 250.06794929504395 wall_clock_time_millis 270.64061164855957 wall_clock_time_millis_testing 2.383708953857422 wall_clock_time_millis_testing 2.346515655517578 wall_clock_time_millis_testing 2.3097991943359375 wall_clock_time_millis_testing 2.2962093353271484 wall_clock_time_millis_testing 2.4383068084716797 wall_clock_time_millis_testing 2.676248550415039 wall_clock_time_millis_testing 2.3555755615234375 wall_clock_time_millis_testing 2.312898635864258 wall_clock_time_millis_testing 2.6144981384277344 wall_clock_time_millis_testing 2.308368682861328 wall_clock_time_millis_training 274.960994720459 wall_clock_time_millis_training 247.8165626525879 wall_clock_time_millis_training 248.89135360717773 wall_clock_time_millis_training 248.1067180633545 wall_clock_time_millis_training 245.62835693359375 wall_clock_time_millis_training 247.3616600036621 wall_clock_time_millis_training 247.2383975982666 wall_clock_time_millis_training 247.8499412536621 wall_clock_time_millis_training 247.4534511566162 wall_clock_time_millis_training 268.33224296569824