10363377 8323 Heinrich Peters 32 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8218824 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 7062.385681297137 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.4212472624657243 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 39492 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. 32 pendigits https://www.openml.org/data/download/32/dataset_32_pendigits.arff -1 21648456 description https://api.openml.org/data/download/21648456/description.xml -1 21648457 predictions https://api.openml.org/data/download/21648457/predictions.arff area_under_roc_curve 0.9967698061767479 [0.996063,0.995606,0.995813,0.995433,0.998587,0.995533,0.998479,0.997068,0.99727,0.997903] average_cost 0 f_measure 0.9941864912000954 [0.996047,0.992126,0.99387,0.992881,0.997814,0.993824,0.997631,0.994746,0.986404,0.996209] kappa 0.9935295700290531 kb_relative_information_score 0.9939181179229152 mean_absolute_error 0.0011644832605531283 mean_prior_absolute_error 0.17996797657803554 number_of_instances 10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055] precision 0.994222833308094 [1,0.992126,0.995614,0.994297,0.99825,0.99619,0.998104,0.994746,0.975881,0.996209] predictive_accuracy 0.9941775836972343 prior_entropy 3.320771739846944 recall 0.9941775836972343 [0.992126,0.992126,0.992133,0.991469,0.997378,0.991469,0.997159,0.994746,0.997156,0.996209] relative_absolute_error 0.006470502601045799 root_mean_prior_squared_error 0.29997328837006915 root_mean_squared_error 0.03412452579235539 root_relative_squared_error 0.11375854822865715 total_cost 0 area_under_roc_curve 0.9974818392655873 [1,0.999493,0.995652,0.994233,1,0.990476,1,0.995614,0.999497,0.999497] area_under_roc_curve 0.9949534845062863 [0.986957,0.999493,0.990797,0.994736,0.995614,0.995238,0.995283,0.998986,0.993271,0.999497] area_under_roc_curve 0.9964727481386737 [1,1,0.999492,0.995238,1,0.989973,1,0.991304,0.993729,0.994276] area_under_roc_curve 0.9969614527615388 [0.995614,0.995144,0.999492,0.995238,1,0.999496,0.995238,0.994636,0.994735,1] area_under_roc_curve 0.9984863495694983 [1,0.991304,1,1,1,0.995283,1,0.999492,0.998994,1] area_under_roc_curve 0.9959600126487809 [0.991228,0.998476,0.986842,0.994779,1,1,0.995238,0.995614,0.997988,1] area_under_roc_curve 0.9969813847840315 [0.995614,0.991228,1,1,1,0.990566,0.999496,0.995614,0.997485,1] area_under_roc_curve 0.9959554444563724 [1,0.99072,0.995106,0.995283,0.99072,0.999496,1,0.999492,0.998489,0.990476] area_under_roc_curve 0.9974782870959663 [0.995614,0.999492,0.995614,0.990063,1,0.995238,0.999496,1,0.998993,1] area_under_roc_curve 0.9969670806022904 [0.995614,0.99072,0.995144,0.994735,0.999492,0.999497,1,1,0.999496,0.995283] 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 0.995454532556939 [1,0.995633,0.995633,0.985782,1,0.990385,1,0.995595,0.995305,0.995305] f_measure 0.9909225195765959 [0.986784,0.995633,0.9869,0.990476,0.995595,0.995215,0.995261,0.991304,0.976744,0.995305] f_measure 0.9936394298201994 [1,1,0.995671,0.995215,1,0.985646,1,0.991228,0.981132,0.985915] f_measure 0.9945441646936126 [0.995595,0.991304,0.995633,0.995215,1,0.995305,0.995215,0.987013,0.990476,1] f_measure 0.9972706785899061 [1,0.991228,1,1,1,0.995261,1,0.995633,0.990566,1] f_measure 0.9927418124996356 [0.99115,0.987124,0.986667,0.990566,1,1,0.995215,0.995595,0.981308,1] f_measure 0.9945748028201407 [0.995595,0.99115,1,1,1,0.990476,0.995305,0.995595,0.976744,1] f_measure 0.992720891851337 [1,0.986784,0.991228,0.995261,0.986784,0.995305,1,0.995633,0.986047,0.990385] f_measure 0.9954503821499234 [0.995595,0.995633,0.995595,0.985782,1,0.995215,0.995305,1,0.990654,1] f_measure 0.9945365971349105 [0.995595,0.986784,0.991304,0.990476,0.995633,0.995261,1,1,0.995305,0.995261] kappa 0.9949486229027601 kappa 0.9898973478701314 kappa 0.992921466276901 kappa 0.993932573724198 kappa 0.9969664013072906 kappa 0.9919104928048287 kappa 0.9939330426517958 kappa 0.9919106267792113 kappa 0.994944146388814 kappa 0.9939328863506506 kb_relative_information_score 0.9952289314768763 kb_relative_information_score 0.990515318592179 kb_relative_information_score 0.9932909943718432 kb_relative_information_score 0.994286143408986 kb_relative_information_score 0.9971572111821864 kb_relative_information_score 0.9924389271782882 kb_relative_information_score 0.994314294536786 kb_relative_information_score 0.9924112494397562 kb_relative_information_score 0.9952251207094633 kb_relative_information_score 0.9943149054281355 mean_absolute_error 0.0009090909090909091 mean_absolute_error 0.001818181818181818 mean_absolute_error 0.0012738853503184713 mean_absolute_error 0.001091901728844404 mean_absolute_error 0.0005459508644222021 mean_absolute_error 0.0014558689717925385 mean_absolute_error 0.001091901728844404 mean_absolute_error 0.0014558689717925385 mean_absolute_error 0.0009099181073703367 mean_absolute_error 0.001091901728844404 mean_prior_absolute_error 0.17996798929120086 mean_prior_absolute_error 0.17996798929120086 mean_prior_absolute_error 0.17996580653132724 mean_prior_absolute_error 0.17996580653132724 mean_prior_absolute_error 0.17996724559468558 mean_prior_absolute_error 0.17996724559468558 mean_prior_absolute_error 0.1799686846580439 mean_prior_absolute_error 0.1799701568033185 mean_prior_absolute_error 0.1799701568033185 mean_prior_absolute_error 0.1799686846580439 number_of_instances 1100 [115,114,115,105,114,105,106,114,106,106] number_of_instances 1100 [115,114,115,105,114,105,106,114,106,106] number_of_instances 1099 [115,114,115,105,114,105,105,115,105,106] number_of_instances 1099 [114,115,114,105,115,106,105,115,105,105] number_of_instances 1099 [114,115,114,106,115,106,105,114,105,105] number_of_instances 1099 [114,115,114,106,115,106,105,114,105,105] number_of_instances 1099 [114,114,114,106,115,106,106,114,105,105] number_of_instances 1099 [114,114,114,106,114,106,106,114,106,105] number_of_instances 1099 [114,114,114,106,114,105,106,114,106,106] number_of_instances 1099 [114,114,115,105,114,105,106,114,106,106] precision 0.9954965956049885 [1,0.991304,1,0.981132,1,1,1,1,0.990654,0.990654] precision 0.9910489491077109 [1,0.991304,0.991228,0.990476,1,1,1,0.982759,0.963303,0.990654] precision 0.9936976994178162 [1,1,0.991379,1,1,0.990385,1,1,0.971963,0.981308] precision 0.9945725958379225 [1,0.991304,0.991304,1,1,0.990654,1,0.982759,0.990476,1] precision 0.9973121736394395 [1,1,1,1,1,1,1,0.991304,0.981308,1] precision 0.9929236216353651 [1,0.974576,1,0.990566,1,1,1,1,0.963303,1] precision 0.9947557948331803 [1,1,1,1,1,1,0.990654,1,0.954545,1] precision 0.9927960974875902 [1,0.99115,0.991228,1,0.99115,0.990654,1,0.991304,0.972477,1] precision 0.9954918604859686 [1,0.991304,1,0.990476,1,1,0.990654,1,0.981481,1] precision 0.9945574393551488 [1,0.99115,0.991304,0.990476,0.991304,0.990566,1,1,0.990654,1] predictive_accuracy 0.9954545454545455 predictive_accuracy 0.990909090909091 predictive_accuracy 0.9936305732484076 predictive_accuracy 0.994540491355778 predictive_accuracy 0.997270245677889 predictive_accuracy 0.9927206551410372 predictive_accuracy 0.994540491355778 predictive_accuracy 0.9927206551410372 predictive_accuracy 0.9954504094631482 predictive_accuracy 0.994540491355778 prior_entropy 3.3207726565016804 prior_entropy 3.3207726565016804 prior_entropy 3.320615093773185 prior_entropy 3.320615093773185 prior_entropy 3.3207190205874304 prior_entropy 3.3207190205874304 prior_entropy 3.320822852867135 prior_entropy 3.3209290746720725 prior_entropy 3.3209290746720725 prior_entropy 3.3208228528671353 recall 0.9954545454545455 [1,1,0.991304,0.990476,1,0.980952,1,0.991228,1,1] recall 0.990909090909091 [0.973913,1,0.982609,0.990476,0.991228,0.990476,0.990566,1,0.990566,1] recall 0.9936305732484076 [1,1,1,0.990476,1,0.980952,1,0.982609,0.990476,0.990566] recall 0.9945404913557779 [0.991228,0.991304,1,0.990476,1,1,0.990476,0.991304,0.990476,1] recall 0.997270245677889 [1,0.982609,1,1,1,0.990566,1,1,1,1] recall 0.9927206551410374 [0.982456,1,0.973684,0.990566,1,1,0.990476,0.991228,1,1] recall 0.9945404913557779 [0.991228,0.982456,1,1,1,0.981132,1,0.991228,1,1] recall 0.9927206551410374 [1,0.982456,0.991228,0.990566,0.982456,1,1,1,1,0.980952] recall 0.9954504094631483 [0.991228,1,0.991228,0.981132,1,0.990476,1,1,1,1] recall 0.9945404913557779 [0.991228,0.982456,0.991304,0.990476,1,1,1,1,1,0.990566] relative_absolute_error 0.005051403378297105 relative_absolute_error 0.010102806756594206 relative_absolute_error 0.007078485490501897 relative_absolute_error 0.006067273277573055 relative_absolute_error 0.0030336123810649914 relative_absolute_error 0.008089633016173306 relative_absolute_error 0.006067176247462784 relative_absolute_error 0.008089502157758267 relative_absolute_error 0.005055938848598918 relative_absolute_error 0.006067176247462784 root_mean_prior_squared_error 0.29997330956058954 root_mean_prior_squared_error 0.29997330956058954 root_mean_prior_squared_error 0.29996967128171426 root_mean_prior_squared_error 0.29996967128171426 root_mean_prior_squared_error 0.29997206995355086 root_mean_prior_squared_error 0.29997206995355086 root_mean_prior_squared_error 0.2999744686062071 root_mean_prior_squared_error 0.29997692238045737 root_mean_prior_squared_error 0.29997692238045737 root_mean_prior_squared_error 0.2999744686062071 root_mean_squared_error 0.03015113445777636 root_mean_squared_error 0.04264014327112208 root_mean_squared_error 0.03569153051241248 root_mean_squared_error 0.03304393634003679 root_mean_squared_error 0.023365591463136604 root_mean_squared_error 0.038155851082010195 root_mean_squared_error 0.03304393634003679 root_mean_squared_error 0.038155851082010195 root_mean_squared_error 0.030164848870338084 root_mean_squared_error 0.03304393634003679 root_relative_squared_error 0.10051272395515022 root_relative_squared_error 0.1421464574084365 root_relative_squared_error 0.11898379712825385 root_relative_squared_error 0.11015759092859702 root_relative_squared_error 0.07789255668620963 root_relative_squared_error 0.12719801242801848 root_relative_squared_error 0.110155829239639 root_relative_squared_error 0.12719595487288038 root_relative_squared_error 0.10055723163957374 root_relative_squared_error 0.110155829239639 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 3823.9806419878732 usercpu_time_millis 3781.1840350041166 usercpu_time_millis 3759.014091003337 usercpu_time_millis 3813.9326439850265 usercpu_time_millis 3848.8935909990687 usercpu_time_millis 3752.603230983368 usercpu_time_millis 3802.5444130034884 usercpu_time_millis 3854.186987009598 usercpu_time_millis 3843.205337994732 usercpu_time_millis 3833.8554719957756 usercpu_time_millis_testing 238.95013799483422 usercpu_time_millis_testing 233.03707799641415 usercpu_time_millis_testing 235.31167799956165 usercpu_time_millis_testing 229.02314498787746 usercpu_time_millis_testing 235.1794310088735 usercpu_time_millis_testing 231.3585089868866 usercpu_time_millis_testing 229.80665900104214 usercpu_time_millis_testing 233.04818000178784 usercpu_time_millis_testing 231.9749909947859 usercpu_time_millis_testing 232.72260499652475 usercpu_time_millis_training 3585.030503993039 usercpu_time_millis_training 3548.1469570077024 usercpu_time_millis_training 3523.7024130037753 usercpu_time_millis_training 3584.909498997149 usercpu_time_millis_training 3613.714159990195 usercpu_time_millis_training 3521.2447219964815 usercpu_time_millis_training 3572.7377540024463 usercpu_time_millis_training 3621.13880700781 usercpu_time_millis_training 3611.230346999946 usercpu_time_millis_training 3601.132866999251 wall_clock_time_millis 3824.07546043396 wall_clock_time_millis 3781.261682510376 wall_clock_time_millis 3759.0904235839844 wall_clock_time_millis 3814.0130043029785 wall_clock_time_millis 3854.5336723327637 wall_clock_time_millis 3752.6769638061523 wall_clock_time_millis 3802.642822265625 wall_clock_time_millis 3854.266405105591 wall_clock_time_millis 3843.28031539917 wall_clock_time_millis 3833.930015563965 wall_clock_time_millis_testing 238.96431922912598 wall_clock_time_millis_testing 233.0496311187744 wall_clock_time_millis_testing 235.32605171203613 wall_clock_time_millis_testing 229.03704643249512 wall_clock_time_millis_testing 235.19372940063477 wall_clock_time_millis_testing 231.3697338104248 wall_clock_time_millis_testing 229.82001304626465 wall_clock_time_millis_testing 233.0625057220459 wall_clock_time_millis_testing 231.98890686035156 wall_clock_time_millis_testing 232.73587226867676 wall_clock_time_millis_training 3585.111141204834 wall_clock_time_millis_training 3548.2120513916016 wall_clock_time_millis_training 3523.7643718719482 wall_clock_time_millis_training 3584.9759578704834 wall_clock_time_millis_training 3619.339942932129 wall_clock_time_millis_training 3521.3072299957275 wall_clock_time_millis_training 3572.8228092193604 wall_clock_time_millis_training 3621.203899383545 wall_clock_time_millis_training 3611.2914085388184 wall_clock_time_millis_training 3601.194143295288