10325099 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) 8180785 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 0.6272435651551626 13389 cache_size 200 13389 class_weight null 13389 coef0 0.28238925509690915 13389 decision_function_shape "ovr" 13389 degree 1 13389 gamma 0.004979268646665967 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 42819 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 21571884 description https://api.openml.org/data/download/21571884/description.xml -1 21571885 predictions https://api.openml.org/data/download/21571885/predictions.arff area_under_roc_curve 0.9785121122154813 [0.978512,0.978512] average_cost 0 f_measure 0.9767173212638528 [0.978638,0.974318] kappa 0.952973033187945 kb_relative_information_score 0.9525171704394501 mean_absolute_error 0.023323615160349854 mean_prior_absolute_error 0.49387203415364794 number_of_instances 1372 [762,610] precision 0.9774632334769136 [0.995924,0.954403] predictive_accuracy 0.9766763848396502 prior_entropy 0.9911281447384036 recall 0.9766763848396501 [0.961942,0.995082] relative_absolute_error 0.04722602931004122 root_mean_prior_squared_error 0.4969220835611905 root_mean_squared_error 0.1527207096642425 root_relative_squared_error 0.3073333118338594 total_cost 0 area_under_roc_curve 0.987012987012987 [0.987013,0.987013] area_under_roc_curve 0.9805194805194807 [0.980519,0.980519] area_under_roc_curve 0.9852243313201037 [0.985224,0.985224] area_under_roc_curve 0.980263157894737 [0.980263,0.980263] area_under_roc_curve 0.9868421052631579 [0.986842,0.986842] area_under_roc_curve 0.9868421052631579 [0.986842,0.986842] area_under_roc_curve 0.9868421052631579 [0.986842,0.986842] area_under_roc_curve 0.9671052631578946 [0.967105,0.967105] area_under_roc_curve 0.9457506471095773 [0.945751,0.945751] area_under_roc_curve 0.9786453839516825 [0.978645,0.978645] 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 0.9855287763588493 [0.986842,0.983871] f_measure 0.9783057875035991 [0.980132,0.976] f_measure 0.9854014598540146 [0.986842,0.983607] f_measure 0.9781445157497672 [0.979866,0.976] f_measure 0.985421866415509 [0.986667,0.983871] f_measure 0.985421866415509 [0.986667,0.983871] f_measure 0.985421866415509 [0.986667,0.983871] f_measure 0.9636013954981383 [0.965986,0.96063] f_measure 0.9417745725427458 [0.945205,0.9375] f_measure 0.9781186959643561 [0.980132,0.97561] kappa 0.9707192870782941 kappa 0.9561533573395468 kappa 0.9704486626402071 kappa 0.9558870881184931 kappa 0.9705439690389164 kappa 0.9705439690389164 kappa 0.9705439690389164 kappa 0.9267144538354554 kappa 0.8829309976500747 kappa 0.9557445892107247 kb_relative_information_score 0.9704706584122915 kb_relative_information_score 0.9557059876184374 kb_relative_information_score 0.9702861445037456 kb_relative_information_score 0.9554292167556183 kb_relative_information_score 0.9702861445037456 kb_relative_information_score 0.9702861445037456 kb_relative_information_score 0.9702861445037456 kb_relative_information_score 0.9257153612593639 kb_relative_information_score 0.8811445780149825 kb_relative_information_score 0.9554292167556183 mean_absolute_error 0.014492753623188406 mean_absolute_error 0.021739130434782608 mean_absolute_error 0.014598540145985401 mean_absolute_error 0.021897810218978103 mean_absolute_error 0.014598540145985401 mean_absolute_error 0.014598540145985401 mean_absolute_error 0.014598540145985401 mean_absolute_error 0.0364963503649635 mean_absolute_error 0.058394160583941604 mean_absolute_error 0.021897810218978103 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 0.9859673337934206 [1,0.968254] precision 0.9792798913043478 [1,0.953125] precision 0.9854014598540146 [0.986842,0.983607] precision 0.9791286496350365 [1,0.953125] precision 0.9858649055729347 [1,0.968254] precision 0.9858649055729347 [1,0.968254] precision 0.9858649055729347 [1,0.968254] precision 0.9662685246626852 [1,0.924242] precision 0.9455558495323174 [0.985714,0.895522] precision 0.9782403265049838 [0.986667,0.967742] predictive_accuracy 0.9855072463768115 predictive_accuracy 0.9782608695652173 predictive_accuracy 0.9854014598540146 predictive_accuracy 0.9781021897810218 predictive_accuracy 0.9854014598540146 predictive_accuracy 0.9854014598540146 predictive_accuracy 0.9854014598540146 predictive_accuracy 0.9635036496350365 predictive_accuracy 0.9416058394160584 predictive_accuracy 0.9781021897810218 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 0.9855072463768116 [0.974026,1] recall 0.9782608695652174 [0.961039,1] recall 0.9854014598540146 [0.986842,0.983607] recall 0.9781021897810219 [0.960526,1] recall 0.9854014598540146 [0.973684,1] recall 0.9854014598540146 [0.973684,1] recall 0.9854014598540146 [0.973684,1] recall 0.9635036496350365 [0.934211,1] recall 0.9416058394160584 [0.907895,0.983607] recall 0.9781021897810219 [0.973684,0.983607] relative_absolute_error 0.029362111336681186 relative_absolute_error 0.044043167005021776 relative_absolute_error 0.02955506082018512 relative_absolute_error 0.04433259123027767 relative_absolute_error 0.02955506082018512 relative_absolute_error 0.02955506082018512 relative_absolute_error 0.02955506082018512 relative_absolute_error 0.07388765205046278 relative_absolute_error 0.11822024328074048 relative_absolute_error 0.04433259123027767 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 0.1203858530857692 root_mean_squared_error 0.14744195615489714 root_mean_squared_error 0.12082441866603538 root_mean_squared_error 0.14797908710009702 root_mean_squared_error 0.12082441866603538 root_mean_squared_error 0.12082441866603538 root_mean_squared_error 0.12082441866603538 root_mean_squared_error 0.19104017997521752 root_mean_squared_error 0.24164883733207076 root_mean_squared_error 0.14797908710009702 root_relative_squared_error 0.2424030280157903 root_relative_squared_error 0.2968818653721309 root_relative_squared_error 0.24311025771396072 root_relative_squared_error 0.29774804131786087 root_relative_squared_error 0.24311025771396072 root_relative_squared_error 0.24311025771396072 root_relative_squared_error 0.24311025771396072 root_relative_squared_error 0.38439106846331766 root_relative_squared_error 0.48622051542792144 root_relative_squared_error 0.29774804131786087 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 55.27517099835677 usercpu_time_millis 55.39952100298251 usercpu_time_millis 55.761578001693124 usercpu_time_millis 55.94025699974736 usercpu_time_millis 57.398214001295855 usercpu_time_millis 54.86376100088819 usercpu_time_millis 56.38458599787555 usercpu_time_millis 58.71784800183377 usercpu_time_millis 54.642537998006446 usercpu_time_millis 56.017349001194816 usercpu_time_millis_testing 4.970942998625105 usercpu_time_millis_testing 5.01126300150645 usercpu_time_millis_testing 4.952487000991823 usercpu_time_millis_testing 4.952569001034135 usercpu_time_millis_testing 6.553072002134286 usercpu_time_millis_testing 4.871286000707187 usercpu_time_millis_testing 5.035499998484738 usercpu_time_millis_testing 4.959975001838757 usercpu_time_millis_testing 4.835595998883946 usercpu_time_millis_testing 4.958067002007738 usercpu_time_millis_training 50.304227999731665 usercpu_time_millis_training 50.38825800147606 usercpu_time_millis_training 50.8090910007013 usercpu_time_millis_training 50.98768799871323 usercpu_time_millis_training 50.84514199916157 usercpu_time_millis_training 49.992475000181 usercpu_time_millis_training 51.34908599939081 usercpu_time_millis_training 53.757872999995016 usercpu_time_millis_training 49.8069419991225 usercpu_time_millis_training 51.05928199918708 wall_clock_time_millis 55.28879165649414 wall_clock_time_millis 55.47380447387695 wall_clock_time_millis 55.779457092285156 wall_clock_time_millis 55.971622467041016 wall_clock_time_millis 57.45577812194824 wall_clock_time_millis 54.879188537597656 wall_clock_time_millis 56.438446044921875 wall_clock_time_millis 58.74323844909668 wall_clock_time_millis 54.6720027923584 wall_clock_time_millis 56.058645248413086 wall_clock_time_millis_testing 4.976749420166016 wall_clock_time_millis_testing 5.019426345825195 wall_clock_time_millis_testing 4.961252212524414 wall_clock_time_millis_testing 4.960298538208008 wall_clock_time_millis_testing 6.56580924987793 wall_clock_time_millis_testing 4.878520965576172 wall_clock_time_millis_testing 5.042314529418945 wall_clock_time_millis_testing 4.966020584106445 wall_clock_time_millis_testing 4.842281341552734 wall_clock_time_millis_testing 4.9648284912109375 wall_clock_time_millis_training 50.312042236328125 wall_clock_time_millis_training 50.45437812805176 wall_clock_time_millis_training 50.81820487976074 wall_clock_time_millis_training 51.01132392883301 wall_clock_time_millis_training 50.88996887207031 wall_clock_time_millis_training 50.000667572021484 wall_clock_time_millis_training 51.39613151550293 wall_clock_time_millis_training 53.777217864990234 wall_clock_time_millis_training 49.829721450805664 wall_clock_time_millis_training 51.09381675720215