10328140 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) 8183791 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 28.474882028277037 13389 cache_size 200 13389 class_weight null 13389 coef0 0.9087230217297251 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.1449257658205107 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 43094 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 21577966 description https://api.openml.org/data/download/21577966/description.xml -1 21577967 predictions https://api.openml.org/data/download/21577967/predictions.arff area_under_roc_curve 0.9398385547844678 [0.939839,0.939839] average_cost 0 f_measure 0.9456366237482118 [0.958515,0.921162] kappa 0.879677109568936 kb_relative_information_score 0.8745023925456848 mean_absolute_error 0.05436337625178827 mean_prior_absolute_error 0.4519499019385762 number_of_instances 699 [458,241] precision 0.9456366237482118 [0.958515,0.921162] predictive_accuracy 0.9456366237482118 prior_entropy 0.92931856324281 recall 0.9456366237482118 [0.958515,0.921162] relative_absolute_error 0.12028628841073787 root_mean_prior_squared_error 0.47529612442517866 root_mean_squared_error 0.23315955106276104 root_relative_squared_error 0.4905563901762155 total_cost 0 area_under_roc_curve 0.9257246376811594 [0.925725,0.925725] area_under_roc_curve 0.9574275362318839 [0.957428,0.957428] area_under_roc_curve 0.9583333333333335 [0.958333,0.958333] area_under_roc_curve 0.9356884057971013 [0.935688,0.935688] area_under_roc_curve 0.9682971014492754 [0.968297,0.968297] area_under_roc_curve 0.9682971014492754 [0.968297,0.968297] area_under_roc_curve 0.9166666666666665 [0.916667,0.916667] area_under_roc_curve 0.9257246376811594 [0.925725,0.925725] area_under_roc_curve 0.9088888888888889 [0.908889,0.908889] area_under_roc_curve 0.9347222222222222 [0.934722,0.934722] 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 0.9289078268670106 [0.945055,0.897959] f_measure 0.9573446961202065 [0.967033,0.938776] f_measure 0.9711114047839302 [0.978723,0.956522] f_measure 0.9294684165801151 [0.94382,0.901961] f_measure 0.9714285714285714 [0.978261,0.958333] f_measure 0.9714285714285714 [0.978261,0.958333] f_measure 0.9414502164502165 [0.958333,0.909091] f_measure 0.9289078268670106 [0.945055,0.897959] f_measure 0.9274438670457889 [0.946237,0.893617] f_measure 0.9284181438692417 [0.942529,0.901961] kappa 0.8430493273542602 kappa 0.9058295964125561 kappa 0.9353049907578558 kappa 0.8460861917326298 kappa 0.9365942028985507 kappa 0.9365942028985507 kappa 0.8679245283018867 kappa 0.8430493273542602 kappa 0.8401826484018265 kappa 0.844804318488529 kb_relative_information_score 0.8347920755775141 kb_relative_information_score 0.9008752453465084 kb_relative_information_score 0.9339168302310057 kb_relative_information_score 0.8347920755775141 kb_relative_information_score 0.9339168302310057 kb_relative_information_score 0.9339168302310057 kb_relative_information_score 0.8678336604620114 kb_relative_information_score 0.8347920755775142 kb_relative_information_score 0.8371089121111873 kb_relative_information_score 0.8332228392309345 mean_absolute_error 0.07142857142857142 mean_absolute_error 0.04285714285714286 mean_absolute_error 0.02857142857142857 mean_absolute_error 0.07142857142857142 mean_absolute_error 0.02857142857142857 mean_absolute_error 0.02857142857142857 mean_absolute_error 0.05714285714285714 mean_absolute_error 0.07142857142857142 mean_absolute_error 0.07142857142857142 mean_absolute_error 0.07246376811594203 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 0.9296507936507936 [0.955556,0.88] precision 0.9579682539682539 [0.977778,0.92] precision 0.9726190476190477 [0.958333,1] precision 0.9339239571797712 [0.976744,0.851852] precision 0.9714285714285714 [0.978261,0.958333] precision 0.9714285714285714 [0.978261,0.958333] precision 0.9474285714285713 [0.92,1] precision 0.9296507936507936 [0.955556,0.88] precision 0.9301948051948051 [0.916667,0.954545] precision 0.9329422590292156 [0.97619,0.851852] predictive_accuracy 0.9285714285714286 predictive_accuracy 0.9571428571428571 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9285714285714286 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.942857142857143 predictive_accuracy 0.9285714285714286 predictive_accuracy 0.9285714285714286 predictive_accuracy 0.927536231884058 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 0.9285714285714286 [0.934783,0.916667] recall 0.9571428571428572 [0.956522,0.958333] recall 0.9714285714285714 [1,0.916667] recall 0.9285714285714286 [0.913043,0.958333] recall 0.9714285714285714 [0.978261,0.958333] recall 0.9714285714285714 [0.978261,0.958333] recall 0.9428571428571428 [1,0.833333] recall 0.9285714285714286 [0.934783,0.916667] recall 0.9285714285714286 [0.977778,0.84] recall 0.927536231884058 [0.911111,0.958333] relative_absolute_error 0.15825356691349107 relative_absolute_error 0.09495214014809465 relative_absolute_error 0.06330142676539643 relative_absolute_error 0.15825356691349107 relative_absolute_error 0.06330142676539643 relative_absolute_error 0.06330142676539643 relative_absolute_error 0.12660285353079287 relative_absolute_error 0.15825356691349107 relative_absolute_error 0.1567180862955511 relative_absolute_error 0.16000182598374876 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 0.2672612419124244 root_mean_squared_error 0.20701966780270625 root_mean_squared_error 0.1690308509457033 root_mean_squared_error 0.2672612419124244 root_mean_squared_error 0.1690308509457033 root_mean_squared_error 0.1690308509457033 root_mean_squared_error 0.23904572186687872 root_mean_squared_error 0.2672612419124244 root_mean_squared_error 0.2672612419124244 root_mean_squared_error 0.26919095102908275 root_relative_squared_error 0.5630462878945582 root_relative_squared_error 0.43613377923190605 root_relative_squared_error 0.35610173956993896 root_relative_squared_error 0.5630462878945582 root_relative_squared_error 0.35610173956993896 root_relative_squared_error 0.35610173956993896 root_relative_squared_error 0.5036039096844597 root_relative_squared_error 0.5630462878945582 root_relative_squared_error 0.5576007873561383 root_relative_squared_error 0.5651857117084224 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 12.819872004911304 usercpu_time_millis 12.102177002816461 usercpu_time_millis 12.7503039984731 usercpu_time_millis 11.979128001257777 usercpu_time_millis 12.107030001061503 usercpu_time_millis 12.105836998671293 usercpu_time_millis 12.143350002588704 usercpu_time_millis 11.502927998662926 usercpu_time_millis 12.35171499865828 usercpu_time_millis 12.197705000289716 usercpu_time_millis_testing 1.1603290040511638 usercpu_time_millis_testing 1.1140370042994618 usercpu_time_millis_testing 1.190686998597812 usercpu_time_millis_testing 1.1571080030989833 usercpu_time_millis_testing 1.1200930021004751 usercpu_time_millis_testing 1.1599330027820542 usercpu_time_millis_testing 1.1954549991060048 usercpu_time_millis_testing 1.1372919980203733 usercpu_time_millis_testing 1.230262998433318 usercpu_time_millis_testing 1.1495950020616874 usercpu_time_millis_training 11.65954300086014 usercpu_time_millis_training 10.988139998517 usercpu_time_millis_training 11.559616999875288 usercpu_time_millis_training 10.822019998158794 usercpu_time_millis_training 10.986936998961028 usercpu_time_millis_training 10.945903995889239 usercpu_time_millis_training 10.9478950034827 usercpu_time_millis_training 10.365636000642553 usercpu_time_millis_training 11.121452000224963 usercpu_time_millis_training 11.048109998228028 wall_clock_time_millis 12.833595275878906 wall_clock_time_millis 12.111902236938477 wall_clock_time_millis 12.761831283569336 wall_clock_time_millis 11.991739273071289 wall_clock_time_millis 12.11857795715332 wall_clock_time_millis 12.119293212890625 wall_clock_time_millis 12.188911437988281 wall_clock_time_millis 11.517047882080078 wall_clock_time_millis 12.370109558105469 wall_clock_time_millis 12.212276458740234 wall_clock_time_millis_testing 1.1687278747558594 wall_clock_time_millis_testing 1.1208057403564453 wall_clock_time_millis_testing 1.1970996856689453 wall_clock_time_millis_testing 1.163482666015625 wall_clock_time_millis_testing 1.127481460571289 wall_clock_time_millis_testing 1.1675357818603516 wall_clock_time_millis_testing 1.2183189392089844 wall_clock_time_millis_testing 1.146554946899414 wall_clock_time_millis_testing 1.2392997741699219 wall_clock_time_millis_testing 1.1570453643798828 wall_clock_time_millis_training 11.664867401123047 wall_clock_time_millis_training 10.991096496582031 wall_clock_time_millis_training 11.56473159790039 wall_clock_time_millis_training 10.828256607055664 wall_clock_time_millis_training 10.991096496582031 wall_clock_time_millis_training 10.951757431030273 wall_clock_time_millis_training 10.970592498779297 wall_clock_time_millis_training 10.370492935180664 wall_clock_time_millis_training 11.130809783935547 wall_clock_time_millis_training 11.055231094360352