10557725 8323 Heinrich Peters 15 Supervised Classification 18591 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1) 8275919 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 25.0 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 100 17462 multi_class "warn" 17462 n_jobs null 17462 penalty "l2" 17462 random_state 1 17462 solver "liblinear" 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. 15 breast-w https://www.openml.org/data/download/52350/openml_phpJNxH0q -1 22040410 description https://api.openml.org/data/download/22040410/description.xml -1 22040411 predictions https://api.openml.org/data/download/22040411/predictions.arff area_under_roc_curve 0.9943376397470511 [0.994338,0.994338] average_cost 0 f_measure 0.9656652360515021 [0.973799,0.950207] kappa 0.9240065955172225 kb_relative_information_score 0.8984135873146648 mean_absolute_error 0.04774310529692332 mean_prior_absolute_error 0.4519499019385762 weighted_recall 0.9656652360515021 [0.973799,0.950207] number_of_instances 699 [458,241] precision 0.9656652360515021 [0.973799,0.950207] predictive_accuracy 0.9656652360515021 prior_entropy 0.92931856324281 relative_absolute_error 0.1056380476954103 root_mean_prior_squared_error 0.47529612442517866 root_mean_squared_error 0.16366065596593807 root_relative_squared_error 0.34433408470112953 total_cost 0 unweighted_recall 0.9620032977586113 [0.973799,0.950207] area_under_roc_curve 0.9972826086956522 [0.997283,0.997283] area_under_roc_curve 0.9873188405797103 [0.987319,0.987319] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9972826086956522 [0.997283,0.997283] area_under_roc_curve 0.9981884057971013 [0.998188,0.998188] area_under_roc_curve 0.986413043478261 [0.986413,0.986413] area_under_roc_curve 0.9893333333333333 [0.989333,0.989333] area_under_roc_curve 0.9953703703703703 [0.99537,0.99537] 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 0.9569173448377291 [0.967742,0.93617] f_measure 0.9716825396825397 [0.977778,0.96] f_measure 0.9711114047839302 [0.978723,0.956522] f_measure 0.9716825396825397 [0.977778,0.96] f_measure 0.9856391149459097 [0.989247,0.978723] f_measure 0.9714285714285714 [0.978261,0.958333] f_measure 0.9711114047839302 [0.978723,0.956522] f_measure 0.9573446961202065 [0.967033,0.938776] f_measure 0.9428571428571428 [0.955556,0.92] f_measure 0.956721134961068 [0.966292,0.938776] kappa 0.9039341262580056 kappa 0.9378330373001776 kappa 0.9353049907578558 kappa 0.9378330373001776 kappa 0.9679780420860019 kappa 0.9365942028985507 kappa 0.9353049907578558 kappa 0.9058295964125561 kappa 0.8755555555555555 kappa 0.9050894085281982 kb_relative_information_score 0.885741046508758 kb_relative_information_score 0.9086365153642317 kb_relative_information_score 0.9248739063126306 kb_relative_information_score 0.9228106274369198 kb_relative_information_score 0.9405062248174545 kb_relative_information_score 0.921826774040112 kb_relative_information_score 0.8825904335110196 kb_relative_information_score 0.8582759266689437 kb_relative_information_score 0.858226665361368 kb_relative_information_score 0.8810560202685425 mean_absolute_error 0.052932154146821106 mean_absolute_error 0.043541079862311344 mean_absolute_error 0.0344255039690489 mean_absolute_error 0.036595646633139224 mean_absolute_error 0.03100670645807229 mean_absolute_error 0.03648379166606586 mean_absolute_error 0.05655547490779017 mean_absolute_error 0.06511961432140885 mean_absolute_error 0.06557529092333203 mean_absolute_error 0.055303800005653596 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45577746077032805 mean_prior_absolute_error 0.45289338212491465 number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [45,25] number_of_instances 69 [45,24] precision 0.9571296418659971 [0.957447,0.956522] precision 0.9736263736263737 [1,0.923077] precision 0.9726190476190477 [0.958333,1] precision 0.9736263736263737 [1,0.923077] precision 0.9860182370820668 [0.978723,1] precision 0.9714285714285714 [0.978261,0.958333] precision 0.9726190476190477 [0.958333,1] precision 0.9579682539682539 [0.977778,0.92] precision 0.9428571428571428 [0.955556,0.92] precision 0.9573517786561265 [0.977273,0.92] predictive_accuracy 0.9571428571428571 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9857142857142857 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9571428571428571 predictive_accuracy 0.942857142857143 predictive_accuracy 0.9565217391304348 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9407371142179634 prior_entropy 0.9321331970800204 relative_absolute_error 0.11727383077408851 relative_absolute_error 0.09646743673666325 relative_absolute_error 0.07627142314255146 relative_absolute_error 0.08107948258479962 relative_absolute_error 0.06869690653321327 relative_absolute_error 0.08083166231957069 relative_absolute_error 0.12530147885701934 relative_absolute_error 0.1442757573935133 relative_absolute_error 0.14387567742490065 relative_absolute_error 0.1221121839894759 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.4793057111336632 root_mean_prior_squared_error 0.4762876085727333 root_mean_squared_error 0.1676591476901049 root_mean_squared_error 0.17207834187968712 root_mean_squared_error 0.1432817050793233 root_mean_squared_error 0.12223255596775155 root_mean_squared_error 0.09493545262373763 root_mean_squared_error 0.146197617521938 root_mean_squared_error 0.16299640614515612 root_mean_squared_error 0.19870965279498867 root_mean_squared_error 0.20688715681405995 root_mean_squared_error 0.1885206991450673 root_relative_squared_error 0.35321193624256153 root_relative_squared_error 0.36252196887626753 root_relative_squared_error 0.3018553367141466 root_relative_squared_error 0.25751054064194606 root_relative_squared_error 0.20000301505334078 root_relative_squared_error 0.30799836615190446 root_relative_squared_error 0.34338881598947446 root_relative_squared_error 0.4186268520435013 root_relative_squared_error 0.4316392482049221 root_relative_squared_error 0.3958127311142896 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 0.947463768115942 [0.978261,0.916667] unweighted_recall 0.9782608695652174 [0.956522,1] unweighted_recall 0.9583333333333333 [1,0.916667] unweighted_recall 0.9782608695652174 [0.956522,1] unweighted_recall 0.9791666666666667 [1,0.958333] unweighted_recall 0.9682971014492754 [0.978261,0.958333] unweighted_recall 0.9583333333333333 [1,0.916667] unweighted_recall 0.957427536231884 [0.956522,0.958333] unweighted_recall 0.9377777777777778 [0.955556,0.92] unweighted_recall 0.9569444444444445 [0.955556,0.958333] usercpu_time_millis 6.2359999997170235 usercpu_time_millis 5.31200000023091 usercpu_time_millis 5.384000000049127 usercpu_time_millis 5.650000000059663 usercpu_time_millis 5.812000000332773 usercpu_time_millis 5.760000000009313 usercpu_time_millis 5.3339999999479915 usercpu_time_millis 5.719999999655556 usercpu_time_millis 6.008000000292668 usercpu_time_millis 5.251999999927648 usercpu_time_millis_testing 0.6419999999707215 usercpu_time_millis_testing 0.49600000011196244 usercpu_time_millis_testing 0.6039999998392886 usercpu_time_millis_testing 0.5099999998492422 usercpu_time_millis_testing 0.5420000002231973 usercpu_time_millis_testing 0.5059999998593412 usercpu_time_millis_testing 0.5679999999301799 usercpu_time_millis_testing 0.5479999999806751 usercpu_time_millis_testing 0.5140000002938905 usercpu_time_millis_testing 0.5019999998694402 usercpu_time_millis_training 5.593999999746302 usercpu_time_millis_training 4.816000000118947 usercpu_time_millis_training 4.780000000209839 usercpu_time_millis_training 5.140000000210421 usercpu_time_millis_training 5.270000000109576 usercpu_time_millis_training 5.254000000149972 usercpu_time_millis_training 4.7660000000178115 usercpu_time_millis_training 5.171999999674881 usercpu_time_millis_training 5.493999999998778 usercpu_time_millis_training 4.750000000058208 wall_clock_time_millis 3.1337738037109375 wall_clock_time_millis 2.6733875274658203 wall_clock_time_millis 2.748250961303711 wall_clock_time_millis 2.8581619262695312 wall_clock_time_millis 2.950906753540039 wall_clock_time_millis 2.9370784759521484 wall_clock_time_millis 2.6891231536865234 wall_clock_time_millis 2.875804901123047 wall_clock_time_millis 3.027677536010742 wall_clock_time_millis 2.6400089263916016 wall_clock_time_millis_testing 0.3237724304199219 wall_clock_time_millis_testing 0.2522468566894531 wall_clock_time_millis_testing 0.34618377685546875 wall_clock_time_millis_testing 0.2579689025878906 wall_clock_time_millis_testing 0.2739429473876953 wall_clock_time_millis_testing 0.2560615539550781 wall_clock_time_millis_testing 0.2932548522949219 wall_clock_time_millis_testing 0.2758502960205078 wall_clock_time_millis_testing 0.2598762512207031 wall_clock_time_millis_testing 0.2529621124267578 wall_clock_time_millis_training 2.8100013732910156 wall_clock_time_millis_training 2.421140670776367 wall_clock_time_millis_training 2.402067184448242 wall_clock_time_millis_training 2.6001930236816406 wall_clock_time_millis_training 2.6769638061523438 wall_clock_time_millis_training 2.6810169219970703 wall_clock_time_millis_training 2.3958683013916016 wall_clock_time_millis_training 2.599954605102539 wall_clock_time_millis_training 2.767801284790039 wall_clock_time_millis_training 2.3870468139648438 weighted_recall 0.9571428571428572 [0.978261,0.916667] weighted_recall 0.9714285714285714 [0.956522,1] weighted_recall 0.9714285714285714 [1,0.916667] weighted_recall 0.9714285714285714 [0.956522,1] weighted_recall 0.9857142857142858 [1,0.958333] weighted_recall 0.9714285714285714 [0.978261,0.958333] weighted_recall 0.9714285714285714 [1,0.916667] weighted_recall 0.9571428571428572 [0.956522,0.958333] weighted_recall 0.9428571428571428 [0.955556,0.92] weighted_recall 0.9565217391304348 [0.955556,0.958333]