10325422 8323 Heinrich Peters 10093 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8181107 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 13542.881398520914 13389 cache_size 200 13389 class_weight null 13389 coef0 0.358340536864697 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.00010486359917591148 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 51005 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. 1462 banknote-authentication https://www.openml.org/data/download/1586223/php50jXam -1 21572530 description https://api.openml.org/data/download/21572530/description.xml -1 21572531 predictions https://api.openml.org/data/download/21572531/predictions.arff area_under_roc_curve 0.9849081364829396 [0.984908,0.984908] average_cost 0 f_measure 0.9832628103331266 [0.984677,0.981496] kappa 0.9661828500883044 kb_relative_information_score 0.9658717162533549 mean_absolute_error 0.016763848396501458 mean_prior_absolute_error 0.49387203415364794 number_of_instances 1372 [762,610] precision 0.9838452645784109 [1,0.963665] predictive_accuracy 0.9832361516034986 prior_entropy 0.9911281447384036 recall 0.9832361516034985 [0.969816,1] relative_absolute_error 0.03394370856659212 root_mean_prior_squared_error 0.4969220835611905 root_mean_squared_error 0.12947528102499511 root_relative_squared_error 0.26055449195799657 total_cost 0 area_under_roc_curve 0.9935064935064934 [0.993506,0.993506] area_under_roc_curve 0.9805194805194807 [0.980519,0.980519] area_under_roc_curve 0.9934210526315789 [0.993421,0.993421] area_under_roc_curve 0.9868421052631579 [0.986842,0.986842] area_under_roc_curve 0.9868421052631579 [0.986842,0.986842] area_under_roc_curve 0.9934210526315789 [0.993421,0.993421] area_under_roc_curve 0.9868421052631579 [0.986842,0.986842] area_under_roc_curve 0.9736842105263158 [0.973684,0.973684] area_under_roc_curve 0.9605263157894737 [0.960526,0.960526] area_under_roc_curve 0.9934210526315789 [0.993421,0.993421] 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 0.9927593990347404 [0.993464,0.99187] f_measure 0.9783057875035991 [0.980132,0.976] f_measure 0.9927062319881188 [0.993377,0.99187] f_measure 0.985421866415509 [0.986667,0.983871] f_measure 0.985421866415509 [0.986667,0.983871] f_measure 0.9927062319881188 [0.993377,0.99187] f_measure 0.985421866415509 [0.986667,0.983871] f_measure 0.9708718102878687 [0.972973,0.968254] f_measure 0.9563309294070591 [0.958904,0.953125] f_measure 0.9927062319881188 [0.993377,0.99187] kappa 0.9853347502656747 kappa 0.9561533573395468 kappa 0.9852481964035749 kappa 0.9705439690389164 kappa 0.9705439690389164 kappa 0.9852481964035749 kappa 0.9705439690389164 kappa 0.9412773253321904 kappa 0.9121982482375561 kappa 0.9852481964035749 kb_relative_information_score 0.9852353292061459 kb_relative_information_score 0.9557059876184374 kb_relative_information_score 0.9851430722518728 kb_relative_information_score 0.9702861445037456 kb_relative_information_score 0.9702861445037456 kb_relative_information_score 0.9851430722518728 kb_relative_information_score 0.9702861445037456 kb_relative_information_score 0.9405722890074912 kb_relative_information_score 0.9108584335112369 kb_relative_information_score 0.9851430722518728 mean_absolute_error 0.007246376811594203 mean_absolute_error 0.021739130434782608 mean_absolute_error 0.0072992700729927005 mean_absolute_error 0.014598540145985401 mean_absolute_error 0.014598540145985401 mean_absolute_error 0.0072992700729927005 mean_absolute_error 0.014598540145985401 mean_absolute_error 0.029197080291970802 mean_absolute_error 0.043795620437956206 mean_absolute_error 0.0072992700729927005 mean_prior_absolute_error 0.49358690378246245 mean_prior_absolute_error 0.49358690378246245 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 number_of_instances 138 [77,61] number_of_instances 138 [77,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] precision 0.992870500233754 [1,0.983871] precision 0.9792798913043478 [1,0.953125] precision 0.9928184600894748 [1,0.983871] precision 0.9858649055729347 [1,0.968254] precision 0.9858649055729347 [1,0.968254] precision 0.9928184600894748 [1,0.983871] precision 0.9858649055729347 [1,0.968254] precision 0.972599663110612 [1,0.938462] precision 0.9601263754221593 [1,0.910448] precision 0.9928184600894748 [1,0.983871] predictive_accuracy 0.9927536231884058 predictive_accuracy 0.9782608695652173 predictive_accuracy 0.9927007299270073 predictive_accuracy 0.9854014598540146 predictive_accuracy 0.9854014598540146 predictive_accuracy 0.9927007299270073 predictive_accuracy 0.9854014598540146 predictive_accuracy 0.9708029197080292 predictive_accuracy 0.9562043795620438 predictive_accuracy 0.9927007299270073 prior_entropy 0.9903020513891087 prior_entropy 0.9903020513891087 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 recall 0.9927536231884058 [0.987013,1] recall 0.9782608695652174 [0.961039,1] recall 0.9927007299270073 [0.986842,1] recall 0.9854014598540146 [0.973684,1] recall 0.9854014598540146 [0.973684,1] recall 0.9927007299270073 [0.986842,1] recall 0.9854014598540146 [0.973684,1] recall 0.9708029197080292 [0.947368,1] recall 0.9562043795620438 [0.921053,1] recall 0.9927007299270073 [0.986842,1] relative_absolute_error 0.014681055668340593 relative_absolute_error 0.044043167005021776 relative_absolute_error 0.01477753041009256 relative_absolute_error 0.02955506082018512 relative_absolute_error 0.02955506082018512 relative_absolute_error 0.01477753041009256 relative_absolute_error 0.02955506082018512 relative_absolute_error 0.05911012164037024 relative_absolute_error 0.08866518246055534 relative_absolute_error 0.01477753041009256 root_mean_prior_squared_error 0.49663510423610374 root_mean_prior_squared_error 0.49663510423610374 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_squared_error 0.08512565307587486 root_mean_squared_error 0.14744195615489714 root_mean_squared_error 0.0854357657716761 root_mean_squared_error 0.12082441866603538 root_mean_squared_error 0.12082441866603538 root_mean_squared_error 0.0854357657716761 root_mean_squared_error 0.12082441866603538 root_mean_squared_error 0.1708715315433522 root_mean_squared_error 0.20927403192454674 root_mean_squared_error 0.0854357657716761 root_relative_squared_error 0.17140482489011802 root_relative_squared_error 0.2968818653721309 root_relative_squared_error 0.1719049118055508 root_relative_squared_error 0.24311025771396072 root_relative_squared_error 0.24311025771396072 root_relative_squared_error 0.1719049118055508 root_relative_squared_error 0.24311025771396072 root_relative_squared_error 0.3438098236111016 root_relative_squared_error 0.4210793182017436 root_relative_squared_error 0.1719049118055508 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 14.058542998100165 usercpu_time_millis 13.441886003420223 usercpu_time_millis 13.95152999975835 usercpu_time_millis 13.49007899989374 usercpu_time_millis 13.491007997799898 usercpu_time_millis 13.560317001974909 usercpu_time_millis 15.12884300245787 usercpu_time_millis 13.471359001414385 usercpu_time_millis 13.599236001027748 usercpu_time_millis 14.301817001978634 usercpu_time_millis_testing 1.3538239982153755 usercpu_time_millis_testing 1.3196780018915888 usercpu_time_millis_testing 1.3142489988240413 usercpu_time_millis_testing 1.3186270007281564 usercpu_time_millis_testing 1.269880998734152 usercpu_time_millis_testing 1.355019001493929 usercpu_time_millis_testing 1.3819060004607309 usercpu_time_millis_testing 1.371069000015268 usercpu_time_millis_testing 1.364171999739483 usercpu_time_millis_testing 1.3426469995465595 usercpu_time_millis_training 12.70471899988479 usercpu_time_millis_training 12.122208001528634 usercpu_time_millis_training 12.637281000934308 usercpu_time_millis_training 12.171451999165583 usercpu_time_millis_training 12.221126999065746 usercpu_time_millis_training 12.20529800048098 usercpu_time_millis_training 13.74693700199714 usercpu_time_millis_training 12.100290001399117 usercpu_time_millis_training 12.235064001288265 usercpu_time_millis_training 12.959170002432074 wall_clock_time_millis 14.069318771362305 wall_clock_time_millis 13.453006744384766 wall_clock_time_millis 13.965129852294922 wall_clock_time_millis 13.503313064575195 wall_clock_time_millis 13.502359390258789 wall_clock_time_millis 29.573678970336914 wall_clock_time_millis 31.142473220825195 wall_clock_time_millis 29.485702514648438 wall_clock_time_millis 13.628244400024414 wall_clock_time_millis 14.317035675048828 wall_clock_time_millis_testing 1.3606548309326172 wall_clock_time_millis_testing 1.325368881225586 wall_clock_time_millis_testing 1.3206005096435547 wall_clock_time_millis_testing 1.3244152069091797 wall_clock_time_millis_testing 1.275777816772461 wall_clock_time_millis_testing 1.3616085052490234 wall_clock_time_millis_testing 1.3892650604248047 wall_clock_time_millis_testing 1.3778209686279297 wall_clock_time_millis_testing 1.3720989227294922 wall_clock_time_millis_testing 1.3496875762939453 wall_clock_time_millis_training 12.708663940429688 wall_clock_time_millis_training 12.12763786315918 wall_clock_time_millis_training 12.644529342651367 wall_clock_time_millis_training 12.178897857666016 wall_clock_time_millis_training 12.226581573486328 wall_clock_time_millis_training 28.21207046508789 wall_clock_time_millis_training 29.75320816040039 wall_clock_time_millis_training 28.107881546020508 wall_clock_time_millis_training 12.256145477294922 wall_clock_time_millis_training 12.967348098754883