10325449 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) 8181134 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 1091.7044234294376 13389 cache_size 200 13389 class_weight null 13389 coef0 0.22557986981301337 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.0014491159214531093 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 43195 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 21572584 description https://api.openml.org/data/download/21572584/description.xml -1 21572585 predictions https://api.openml.org/data/download/21572585/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 12.272871001187013 usercpu_time_millis 12.747511998895789 usercpu_time_millis 11.633752001216635 usercpu_time_millis 12.588669000251684 usercpu_time_millis 12.305314005061518 usercpu_time_millis 12.715857999864966 usercpu_time_millis 12.58051800323301 usercpu_time_millis 11.80908100286615 usercpu_time_millis 11.532418000570033 usercpu_time_millis 12.481917001423426 usercpu_time_millis_testing 1.0292600018146913 usercpu_time_millis_testing 1.0263340009259991 usercpu_time_millis_testing 1.0335990009480156 usercpu_time_millis_testing 1.3040320009167772 usercpu_time_millis_testing 1.0522450029384345 usercpu_time_millis_testing 1.0641970002325252 usercpu_time_millis_testing 1.0431310001877137 usercpu_time_millis_testing 1.0337070016248617 usercpu_time_millis_testing 1.09962599890423 usercpu_time_millis_testing 1.0858060013561044 usercpu_time_millis_training 11.243610999372322 usercpu_time_millis_training 11.72117799796979 usercpu_time_millis_training 10.60015300026862 usercpu_time_millis_training 11.284636999334907 usercpu_time_millis_training 11.253069002123084 usercpu_time_millis_training 11.65166099963244 usercpu_time_millis_training 11.537387003045296 usercpu_time_millis_training 10.775374001241289 usercpu_time_millis_training 10.432792001665803 usercpu_time_millis_training 11.396111000067322 wall_clock_time_millis 28.27000617980957 wall_clock_time_millis 12.767314910888672 wall_clock_time_millis 11.641263961791992 wall_clock_time_millis 12.598514556884766 wall_clock_time_millis 12.314558029174805 wall_clock_time_millis 28.734207153320312 wall_clock_time_millis 12.588739395141602 wall_clock_time_millis 27.817726135253906 wall_clock_time_millis 27.54354476928711 wall_clock_time_millis 28.484582901000977 wall_clock_time_millis_testing 1.033782958984375 wall_clock_time_millis_testing 1.0311603546142578 wall_clock_time_millis_testing 1.0371208190917969 wall_clock_time_millis_testing 1.3091564178466797 wall_clock_time_millis_testing 1.056671142578125 wall_clock_time_millis_testing 1.0709762573242188 wall_clock_time_millis_testing 1.0476112365722656 wall_clock_time_millis_testing 1.039743423461914 wall_clock_time_millis_testing 1.1057853698730469 wall_clock_time_millis_testing 1.0900497436523438 wall_clock_time_millis_training 27.236223220825195 wall_clock_time_millis_training 11.736154556274414 wall_clock_time_millis_training 10.604143142700195 wall_clock_time_millis_training 11.289358139038086 wall_clock_time_millis_training 11.25788688659668 wall_clock_time_millis_training 27.663230895996094 wall_clock_time_millis_training 11.541128158569336 wall_clock_time_millis_training 26.777982711791992 wall_clock_time_millis_training 26.437759399414062 wall_clock_time_millis_training 27.394533157348633