10327916 8323 Heinrich Peters 15 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8183567 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 C 4268.510636410245 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.0061078893286028715 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 51097 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 memory null 16345 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": "svc", "step_name": "svc"}}] 16345 verbose false 16345 openml-python Sklearn_0.21.2. 15 breast-w https://www.openml.org/data/download/52350/openml_phpJNxH0q -1 21577518 description https://api.openml.org/data/download/21577518/description.xml -1 21577519 predictions https://api.openml.org/data/download/21577519/predictions.arff area_under_roc_curve 0.9389642863614126 [0.938964,0.938964] average_cost 0 f_measure 0.946933496387843 [0.959826,0.922432] kappa 0.8822648415129899 kb_relative_information_score 0.8778049611629037 mean_absolute_error 0.05293276108726753 mean_prior_absolute_error 0.4519499019385762 number_of_instances 699 [458,241] precision 0.9469067221839826 [0.954644,0.932203] predictive_accuracy 0.9470672389127324 prior_entropy 0.92931856324281 recall 0.9470672389127325 [0.965066,0.912863] relative_absolute_error 0.11712085976835002 root_mean_prior_squared_error 0.47529612442517866 root_mean_squared_error 0.23007120873170447 root_relative_squared_error 0.484058667656825 total_cost 0 area_under_roc_curve 0.9682971014492754 [0.968297,0.968297] area_under_roc_curve 0.9157608695652174 [0.915761,0.915761] area_under_roc_curve 0.9583333333333335 [0.958333,0.958333] area_under_roc_curve 0.9257246376811594 [0.925725,0.925725] area_under_roc_curve 0.9365942028985509 [0.936594,0.936594] area_under_roc_curve 0.9682971014492754 [0.968297,0.968297] area_under_roc_curve 0.9583333333333335 [0.958333,0.958333] area_under_roc_curve 0.9148550724637681 [0.914855,0.914855] area_under_roc_curve 0.8688888888888889 [0.868889,0.868889] area_under_roc_curve 0.9777777777777779 [0.977778,0.977778] 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 0.9714285714285714 [0.978261,0.958333] f_measure 0.9281955747295486 [0.946237,0.893617] f_measure 0.9711114047839302 [0.978723,0.956522] f_measure 0.9289078268670106 [0.945055,0.897959] f_measure 0.9428571428571428 [0.956522,0.916667] f_measure 0.9714285714285714 [0.978261,0.958333] f_measure 0.9711114047839302 [0.978723,0.956522] f_measure 0.915047619047619 [0.933333,0.88] f_measure 0.8970760233918128 [0.926316,0.844444] f_measure 0.9712648221343874 [0.977273,0.96] kappa 0.9365942028985507 kappa 0.8398902104300092 kappa 0.9353049907578558 kappa 0.8430493273542602 kappa 0.8731884057971014 kappa 0.9365942028985507 kappa 0.9353049907578558 kappa 0.8134991119005328 kappa 0.7720930232558141 kappa 0.9373297002724795 kb_relative_information_score 0.9339168302310057 kb_relative_information_score 0.8347920755775141 kb_relative_information_score 0.9339168302310057 kb_relative_information_score 0.8347920755775141 kb_relative_information_score 0.8678336604620113 kb_relative_information_score 0.9339168302310057 kb_relative_information_score 0.9339168302310057 kb_relative_information_score 0.801750490693017 kb_relative_information_score 0.7719524769556625 kb_relative_information_score 0.9332891356923737 mean_absolute_error 0.02857142857142857 mean_absolute_error 0.07142857142857142 mean_absolute_error 0.02857142857142857 mean_absolute_error 0.07142857142857142 mean_absolute_error 0.05714285714285714 mean_absolute_error 0.02857142857142857 mean_absolute_error 0.02857142857142857 mean_absolute_error 0.08571428571428572 mean_absolute_error 0.1 mean_absolute_error 0.028985507246376812 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 0.9714285714285714 [0.978261,0.958333] precision 0.9282410466499271 [0.93617,0.913043] precision 0.9726190476190477 [0.958333,1] precision 0.9296507936507936 [0.955556,0.88] precision 0.9428571428571428 [0.956522,0.916667] precision 0.9714285714285714 [0.978261,0.958333] precision 0.9726190476190477 [0.958333,1] precision 0.9173826173826175 [0.954545,0.846154] precision 0.905 [0.88,0.95] precision 0.9732441471571908 [1,0.923077] predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9285714285714286 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9285714285714286 predictive_accuracy 0.942857142857143 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9142857142857143 predictive_accuracy 0.9 predictive_accuracy 0.9710144927536232 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 recall 0.9714285714285714 [0.978261,0.958333] recall 0.9285714285714286 [0.956522,0.875] recall 0.9714285714285714 [1,0.916667] recall 0.9285714285714286 [0.934783,0.916667] recall 0.9428571428571428 [0.956522,0.916667] recall 0.9714285714285714 [0.978261,0.958333] recall 0.9714285714285714 [1,0.916667] recall 0.9142857142857143 [0.913043,0.916667] recall 0.9 [0.977778,0.76] recall 0.9710144927536232 [0.955556,1] relative_absolute_error 0.06330142676539643 relative_absolute_error 0.15825356691349107 relative_absolute_error 0.06330142676539643 relative_absolute_error 0.15825356691349107 relative_absolute_error 0.12660285353079287 relative_absolute_error 0.06330142676539643 relative_absolute_error 0.06330142676539643 relative_absolute_error 0.1899042802961893 relative_absolute_error 0.21940532081377154 relative_absolute_error 0.0640007303934995 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 0.1690308509457033 root_mean_squared_error 0.2672612419124244 root_mean_squared_error 0.1690308509457033 root_mean_squared_error 0.2672612419124244 root_mean_squared_error 0.23904572186687872 root_mean_squared_error 0.1690308509457033 root_mean_squared_error 0.1690308509457033 root_mean_squared_error 0.29277002188455997 root_mean_squared_error 0.31622776601683794 root_mean_squared_error 0.17025130615174972 root_relative_squared_error 0.35610173956993896 root_relative_squared_error 0.5630462878945582 root_relative_squared_error 0.35610173956993896 root_relative_squared_error 0.5630462878945582 root_relative_squared_error 0.5036039096844597 root_relative_squared_error 0.35610173956993896 root_relative_squared_error 0.35610173956993896 root_relative_squared_error 0.616786305598795 root_relative_squared_error 0.6597621490236155 root_relative_squared_error 0.35745482999638206 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 27.469021995784715 usercpu_time_millis 25.449070002650842 usercpu_time_millis 26.065974998346064 usercpu_time_millis 27.692515999660827 usercpu_time_millis 28.6041489962372 usercpu_time_millis 30.52412000397453 usercpu_time_millis 22.649375001492444 usercpu_time_millis 20.94799600308761 usercpu_time_millis 24.653608998050913 usercpu_time_millis 25.8908519972465 usercpu_time_millis_testing 1.090824996936135 usercpu_time_millis_testing 1.0448280008859 usercpu_time_millis_testing 1.1342009966028854 usercpu_time_millis_testing 1.098669999919366 usercpu_time_millis_testing 1.1414139953558333 usercpu_time_millis_testing 1.1024140039808117 usercpu_time_millis_testing 1.0649030009517446 usercpu_time_millis_testing 1.0509960047784261 usercpu_time_millis_testing 1.067605997377541 usercpu_time_millis_testing 1.099975997931324 usercpu_time_millis_training 26.37819699884858 usercpu_time_millis_training 24.404242001764942 usercpu_time_millis_training 24.93177400174318 usercpu_time_millis_training 26.59384599974146 usercpu_time_millis_training 27.462735000881366 usercpu_time_millis_training 29.42170599999372 usercpu_time_millis_training 21.5844720005407 usercpu_time_millis_training 19.896999998309184 usercpu_time_millis_training 23.586003000673372 usercpu_time_millis_training 24.790875999315176 wall_clock_time_millis 27.482032775878906 wall_clock_time_millis 25.463581085205078 wall_clock_time_millis 26.079893112182617 wall_clock_time_millis 27.70709991455078 wall_clock_time_millis 28.619050979614258 wall_clock_time_millis 30.53903579711914 wall_clock_time_millis 22.665739059448242 wall_clock_time_millis 20.96390724182129 wall_clock_time_millis 24.668455123901367 wall_clock_time_millis 25.904417037963867 wall_clock_time_millis_testing 1.0981559753417969 wall_clock_time_millis_testing 1.0523796081542969 wall_clock_time_millis_testing 1.1408329010009766 wall_clock_time_millis_testing 1.1050701141357422 wall_clock_time_millis_testing 1.148223876953125 wall_clock_time_millis_testing 1.1088848114013672 wall_clock_time_millis_testing 1.0726451873779297 wall_clock_time_millis_testing 1.0585784912109375 wall_clock_time_millis_testing 1.0745525360107422 wall_clock_time_millis_testing 1.1076927185058594 wall_clock_time_millis_training 26.38387680053711 wall_clock_time_millis_training 24.41120147705078 wall_clock_time_millis_training 24.93906021118164 wall_clock_time_millis_training 26.60202980041504 wall_clock_time_millis_training 27.470827102661133 wall_clock_time_millis_training 29.430150985717773 wall_clock_time_millis_training 21.593093872070312 wall_clock_time_millis_training 19.90532875061035 wall_clock_time_millis_training 23.593902587890625 wall_clock_time_millis_training 24.796724319458008