10558177 8323 Heinrich Peters 9946 Supervised Classification 18591 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1) 8275575 copy true 17405 with_mean true 17405 with_std true 17405 add_indicator false 17407 copy true 17407 fill_value null 17407 missing_values NaN 17407 strategy "median" 17407 verbose 0 17407 C 0.01 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 10000 17462 multi_class "warn" 17462 n_jobs null 17462 penalty "l2" 17462 random_state 1 17462 solver "lbfgs" 17462 tol 0.0001 17462 verbose 0 17462 warm_start false 17462 memory null 18591 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": "logisticregression", "step_name": "logisticregression"}}] 18591 verbose false 18591 openml-python Sklearn_0.21.2. 1510 wdbc https://www.openml.org/data/download/1592318/phpAmSP4g -1 22041317 description https://api.openml.org/data/download/22041317/description.xml -1 22041318 predictions https://api.openml.org/data/download/22041318/predictions.arff area_under_roc_curve 0.9931425400348819 [0.993143,0.993143] average_cost 0 f_measure 0.9500480123507387 [0.962162,0.929648] kappa 0.8920581579696202 kb_relative_information_score 0.7475205990091485 mean_absolute_error 0.1369977101445082 mean_prior_absolute_error 0.46764379083961705 weighted_recall 0.9507908611599297 [0.997199,0.872642] number_of_instances 569 [357,212] precision 0.9537664555818757 [0.929504,0.994624] predictive_accuracy 0.9507908611599296 prior_entropy 0.9526357368194003 relative_absolute_error 0.2929531254943849 root_mean_prior_squared_error 0.4834927399189952 root_mean_squared_error 0.20446281970920632 root_relative_squared_error 0.4228870525407728 total_cost 0 unweighted_recall 0.9349201944928915 [0.997199,0.872642] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9986772486772487 [0.998677,0.998677] area_under_roc_curve 0.9695767195767195 [0.969577,0.969577] area_under_roc_curve 0.9973544973544973 [0.997354,0.997354] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9907407407407406 [0.990741,0.990741] area_under_roc_curve 0.9935064935064934 [0.993506,0.993506] area_under_roc_curve 0.9948051948051948 [0.994805,0.994805] 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 0.9645092460881936 [0.972973,0.95] f_measure 0.9823623542652152 [0.986301,0.97561] f_measure 0.9106612685560054 [0.933333,0.871795] f_measure 0.9463967611336033 [0.96,0.923077] f_measure 0.9645092460881936 [0.972973,0.95] f_measure 0.9645092460881936 [0.972973,0.95] f_measure 0.9279778393351801 [0.947368,0.894737] f_measure 0.9282124229492651 [0.945946,0.9] f_measure 0.9282124229492651 [0.945946,0.9] f_measure 0.9820508416351768 [0.985915,0.97561] kappa 0.9230769230769231 kappa 0.9619238476953906 kappa 0.805725971370143 kappa 0.8834355828220858 kappa 0.9230769230769231 kappa 0.9230769230769231 kappa 0.8429752066115702 kappa 0.8467741935483871 kappa 0.8467741935483871 kappa 0.9615384615384615 kb_relative_information_score 0.768486651109087 kb_relative_information_score 0.7557605994529548 kb_relative_information_score 0.71456645857926 kb_relative_information_score 0.7530370442317392 kb_relative_information_score 0.7693272174222712 kb_relative_information_score 0.7307885271810376 kb_relative_information_score 0.7556436805010361 kb_relative_information_score 0.723649375155153 kb_relative_information_score 0.7089029664466238 kb_relative_information_score 0.7965181273407641 mean_absolute_error 0.1293627539793683 mean_absolute_error 0.13527679891932679 mean_absolute_error 0.15046733646500396 mean_absolute_error 0.1358054985409733 mean_absolute_error 0.12917145661243373 mean_absolute_error 0.14809167354024155 mean_absolute_error 0.12562280509191873 mean_absolute_error 0.14877052046054948 mean_absolute_error 0.1521305197216679 mean_absolute_error 0.11488988147018889 mean_prior_absolute_error 0.4665867821919071 mean_prior_absolute_error 0.4665867821919071 mean_prior_absolute_error 0.4665867821919071 mean_prior_absolute_error 0.4665867821919071 mean_prior_absolute_error 0.4665867821919071 mean_prior_absolute_error 0.4665867821919071 mean_prior_absolute_error 0.4665867821919071 mean_prior_absolute_error 0.4710418778996528 mean_prior_absolute_error 0.4710418778996528 mean_prior_absolute_error 0.4682574430823117 number_of_instances 57 [36,21] number_of_instances 57 [36,21] number_of_instances 57 [36,21] number_of_instances 57 [36,21] number_of_instances 57 [36,21] number_of_instances 57 [36,21] number_of_instances 57 [36,21] number_of_instances 57 [35,22] number_of_instances 57 [35,22] number_of_instances 56 [35,21] precision 0.966759002770083 [0.947368,1] precision 0.9829302987197724 [0.972973,1] precision 0.9147548358074673 [0.897436,0.944444] precision 0.9514170040485831 [0.923077,1] precision 0.966759002770083 [0.947368,1] precision 0.966759002770083 [0.947368,1] precision 0.9368421052631579 [0.9,1] precision 0.9370220422852001 [0.897436,1] precision 0.9370220422852001 [0.897436,1] precision 0.982638888888889 [0.972222,1] predictive_accuracy 0.9649122807017544 predictive_accuracy 0.9824561403508772 predictive_accuracy 0.912280701754386 predictive_accuracy 0.9473684210526316 predictive_accuracy 0.9649122807017544 predictive_accuracy 0.9649122807017544 predictive_accuracy 0.9298245614035088 predictive_accuracy 0.9298245614035088 predictive_accuracy 0.9298245614035088 predictive_accuracy 0.9821428571428571 prior_entropy 0.9495176370074769 prior_entropy 0.9495176370074769 prior_entropy 0.9495176370074769 prior_entropy 0.9495176370074769 prior_entropy 0.9495176370074769 prior_entropy 0.9495176370074769 prior_entropy 0.9495176370074769 prior_entropy 0.9626598502888526 prior_entropy 0.9626598502888526 prior_entropy 0.9544459669879928 relative_absolute_error 0.2772533618969117 relative_absolute_error 0.2899284850801612 relative_absolute_error 0.3224852100570581 relative_absolute_error 0.2910616068097628 relative_absolute_error 0.2768433687847281 relative_absolute_error 0.317393632208234 relative_absolute_error 0.26923781359980764 relative_absolute_error 0.3158328960556718 relative_absolute_error 0.3229660182232813 relative_absolute_error 0.24535623120889333 root_mean_prior_squared_error 0.4823984047513734 root_mean_prior_squared_error 0.4823984047513734 root_mean_prior_squared_error 0.4823984047513734 root_mean_prior_squared_error 0.4823984047513734 root_mean_prior_squared_error 0.4823984047513734 root_mean_prior_squared_error 0.4823984047513734 root_mean_prior_squared_error 0.4823984047513734 root_mean_prior_squared_error 0.4869941648669064 root_mean_prior_squared_error 0.4869941648669064 root_mean_prior_squared_error 0.4841269273621067 root_mean_squared_error 0.18424032499557313 root_mean_squared_error 0.1891914234403145 root_mean_squared_error 0.23179724764862464 root_mean_squared_error 0.19771098629849948 root_mean_squared_error 0.1796658883867262 root_mean_squared_error 0.20322239141305048 root_mean_squared_error 0.22270578257898294 root_mean_squared_error 0.2242737478445255 root_mean_squared_error 0.23191502927168853 root_mean_squared_error 0.16730289720417504 root_relative_squared_error 0.381925651455108 root_relative_squared_error 0.3921891564666826 root_relative_squared_error 0.48050997964657904 root_relative_squared_error 0.4098500002304093 root_relative_squared_error 0.37244295714312203 root_relative_squared_error 0.42127500715469957 root_relative_squared_error 0.4616635966981789 root_relative_squared_error 0.46052656073573006 root_relative_squared_error 0.4762172650160397 root_relative_squared_error 0.34557651671178263 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 0.9523809523809523 [1,0.904762] unweighted_recall 0.9761904761904762 [1,0.952381] unweighted_recall 0.8908730158730158 [0.972222,0.809524] unweighted_recall 0.9285714285714286 [1,0.857143] unweighted_recall 0.9523809523809523 [1,0.904762] unweighted_recall 0.9523809523809523 [1,0.904762] unweighted_recall 0.9047619047619048 [1,0.809524] unweighted_recall 0.9090909090909092 [1,0.818182] unweighted_recall 0.9090909090909092 [1,0.818182] unweighted_recall 0.9761904761904762 [1,0.952381] usercpu_time_millis 19.20800000152667 usercpu_time_millis 26.433999995788326 usercpu_time_millis 22.77200000025914 usercpu_time_millis 30.721999999514082 usercpu_time_millis 31.98799999881885 usercpu_time_millis 30.946000002586516 usercpu_time_millis 23.477999999158783 usercpu_time_millis 21.839999997609993 usercpu_time_millis 22.90799999900628 usercpu_time_millis 25.693999999930384 usercpu_time_millis_testing 1.339999998890562 usercpu_time_millis_testing 1.4259999989008065 usercpu_time_millis_testing 2.1280000000842847 usercpu_time_millis_testing 1.59200000052806 usercpu_time_millis_testing 1.2040000001434237 usercpu_time_millis_testing 1.6600000017206185 usercpu_time_millis_testing 1.0719999991124496 usercpu_time_millis_testing 1.2219999989611097 usercpu_time_millis_testing 1.1059999997087289 usercpu_time_millis_testing 3.081999999267282 usercpu_time_millis_training 17.86800000263611 usercpu_time_millis_training 25.00799999688752 usercpu_time_millis_training 20.644000000174856 usercpu_time_millis_training 29.129999998986023 usercpu_time_millis_training 30.783999998675426 usercpu_time_millis_training 29.286000000865897 usercpu_time_millis_training 22.406000000046333 usercpu_time_millis_training 20.617999998648884 usercpu_time_millis_training 21.80199999929755 usercpu_time_millis_training 22.6120000006631 wall_clock_time_millis 7.374048233032227 wall_clock_time_millis 11.279821395874023 wall_clock_time_millis 8.228778839111328 wall_clock_time_millis 14.180183410644531 wall_clock_time_millis 12.881040573120117 wall_clock_time_millis 18.30601692199707 wall_clock_time_millis 7.879972457885742 wall_clock_time_millis 7.022380828857422 wall_clock_time_millis 7.865190505981445 wall_clock_time_millis 11.314868927001953 wall_clock_time_millis_testing 0.3662109375 wall_clock_time_millis_testing 0.35691261291503906 wall_clock_time_millis_testing 0.5860328674316406 wall_clock_time_millis_testing 0.4031658172607422 wall_clock_time_millis_testing 0.3039836883544922 wall_clock_time_millis_testing 0.4189014434814453 wall_clock_time_millis_testing 0.2739429473876953 wall_clock_time_millis_testing 0.31638145446777344 wall_clock_time_millis_testing 0.2791881561279297 wall_clock_time_millis_testing 1.386880874633789 wall_clock_time_millis_training 7.007837295532227 wall_clock_time_millis_training 10.922908782958984 wall_clock_time_millis_training 7.6427459716796875 wall_clock_time_millis_training 13.777017593383789 wall_clock_time_millis_training 12.577056884765625 wall_clock_time_millis_training 17.887115478515625 wall_clock_time_millis_training 7.606029510498047 wall_clock_time_millis_training 6.705999374389648 wall_clock_time_millis_training 7.586002349853516 wall_clock_time_millis_training 9.927988052368164 weighted_recall 0.9649122807017544 [1,0.904762] weighted_recall 0.9824561403508771 [1,0.952381] weighted_recall 0.9122807017543859 [0.972222,0.809524] weighted_recall 0.9473684210526315 [1,0.857143] weighted_recall 0.9649122807017544 [1,0.904762] weighted_recall 0.9649122807017544 [1,0.904762] weighted_recall 0.9298245614035088 [1,0.809524] weighted_recall 0.9298245614035088 [1,0.818182] weighted_recall 0.9298245614035088 [1,0.818182] weighted_recall 0.9821428571428571 [1,0.952381]