10363385 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) 8218831 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 82.60048604501297 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.490328497576602 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 32247 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 21648472 description https://api.openml.org/data/download/21648472/description.xml -1 21648473 predictions https://api.openml.org/data/download/21648473/predictions.arff area_under_roc_curve 0.9962163243628173 [0.993876,0.994345,0.995762,0.995382,0.998638,0.99511,0.998479,0.99658,0.996716,0.997429] average_cost 0 f_measure 0.9931961755283212 [0.993838,0.991236,0.993435,0.99241,0.99825,0.993818,0.997631,0.99387,0.981343,0.995733] kappa 0.9924175201126108 kb_relative_information_score 0.9928806249014898 mean_absolute_error 0.0013646288209606967 mean_prior_absolute_error 0.17996797657803554 number_of_instances 10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055] precision 0.9932742487410487 [1,0.992976,0.994741,0.993352,0.999124,0.997137,0.998104,0.99387,0.966024,0.996205] predictive_accuracy 0.9931768558951966 prior_entropy 3.320771739846944 recall 0.9931768558951966 [0.987752,0.989501,0.992133,0.991469,0.997378,0.990521,0.997159,0.99387,0.997156,0.995261] relative_absolute_error 0.007582620235600541 root_mean_prior_squared_error 0.29997328837006915 root_mean_squared_error 0.03694088278534633 root_relative_squared_error 0.12314724082956792 total_cost 0 area_under_roc_curve 0.9969788211569354 [0.995652,0.999493,0.995652,0.994233,1,0.990476,1,0.995614,0.998994,0.999497] area_under_roc_curve 0.9944504663976342 [0.982609,0.999493,0.990797,0.994736,0.995614,0.995238,0.995283,0.998986,0.992768,0.999497] area_under_roc_curve 0.9959697300300218 [0.995652,1,0.999492,0.995238,1,0.989973,1,0.991304,0.993226,0.994276] area_under_roc_curve 0.996453322680238 [0.995614,0.990796,0.999492,0.995238,1,0.999496,0.995238,0.994128,0.994735,1] area_under_roc_curve 0.9979833314608464 [1,0.991304,1,1,1,0.995283,1,0.999492,0.998491,0.995238] area_under_roc_curve 0.9949590884041261 [0.986842,0.994636,0.986842,0.994779,1,1,0.995238,0.995614,0.996479,1] area_under_roc_curve 0.9959753485667276 [0.991228,0.991228,1,0.995283,1,0.990566,0.999496,0.995614,0.996479,1] area_under_roc_curve 0.9964589691290812 [1,0.99072,0.995106,1,0.99072,1,1,0.999492,0.998489,0.990476] area_under_roc_curve 0.9969747624232572 [0.995614,0.999492,0.995614,0.989559,1,0.990476,0.999496,1,0.998993,1] area_under_roc_curve 0.9959595153887696 [0.995614,0.986334,0.994636,0.994735,1,0.999497,1,0.995614,0.998489,0.995283] 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 0.9945498188937013 [0.995633,0.995633,0.995633,0.985782,1,0.990385,1,0.995595,0.990654,0.995305] f_measure 0.9900180626612167 [0.982301,0.995633,0.9869,0.990476,0.995595,0.995215,0.995261,0.991304,0.972222,0.995305] f_measure 0.9927423960958716 [0.995633,1,0.995671,0.995215,1,0.985646,1,0.991228,0.976526,0.985915] f_measure 0.9936380661080587 [0.995595,0.9869,0.995633,0.995215,1,0.995305,0.995215,0.982759,0.990476,1] f_measure 0.9963692231338565 [1,0.991228,1,1,1,0.995261,1,0.995633,0.985915,0.995215] f_measure 0.9909688823881989 [0.986667,0.987013,0.986667,0.990566,1,1,0.995215,0.995595,0.967742,1] f_measure 0.9927965927276255 [0.99115,0.99115,1,0.995261,1,0.990476,0.995305,0.995595,0.967742,1] f_measure 0.9936308302047546 [1,0.986784,0.991228,1,0.986784,1,1,0.995633,0.986047,0.990385] f_measure 0.9945403602796974 [0.995595,0.995633,0.995595,0.981132,1,0.990385,0.995305,1,0.990654,1] f_measure 0.9927254953026969 [0.995595,0.982301,0.987013,0.990476,1,0.995261,1,0.995595,0.986047,0.995261] kappa 0.9939383975878495 kappa 0.9888871745136072 kappa 0.9919103216088818 kappa 0.9929213360115644 kappa 0.9959552017430541 kappa 0.9898883858128257 kappa 0.9919107979622424 kappa 0.9929217984318098 kappa 0.9939329700844084 kappa 0.9919106267792113 kb_relative_information_score 0.9942915795884023 kb_relative_information_score 0.9895779667037051 kb_relative_information_score 0.9923527450522246 kb_relative_information_score 0.9933478940893674 kb_relative_information_score 0.9961908622758092 kb_relative_information_score 0.9905624872668514 kb_relative_information_score 0.9924097852249093 kb_relative_information_score 0.9933775372230168 kb_relative_information_score 0.9942588329262027 kb_relative_information_score 0.9924382185886749 mean_absolute_error 0.001090909090909091 mean_absolute_error 0.0019999999999999996 mean_absolute_error 0.0014558689717925385 mean_absolute_error 0.0012738853503184713 mean_absolute_error 0.0007279344858962694 mean_absolute_error 0.0018198362147406732 mean_absolute_error 0.0014558689717925385 mean_absolute_error 0.0012738853503184713 mean_absolute_error 0.001091901728844404 mean_absolute_error 0.0014558689717925385 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 0.9946126785528472 [1,0.991304,1,0.981132,1,1,1,1,0.981481,0.990654] precision 0.9902050640519827 [1,0.991304,0.991228,0.990476,1,1,1,0.982759,0.954545,0.990654] precision 0.9928378598771028 [1,1,0.991379,1,1,0.990385,1,1,0.962963,0.981308] precision 0.9936856702165824 [1,0.991228,0.991304,1,1,0.990654,1,0.974359,0.990476,1] precision 0.9964440664108345 [1,1,1,1,1,1,1,0.991304,0.972222,1] precision 0.9913145963415015 [1,0.982759,1,0.990566,1,1,1,1,0.9375,1] precision 0.9931272482205574 [1,1,1,1,1,1,0.990654,1,0.9375,1] precision 0.9936975116874149 [1,0.99115,0.991228,1,0.99115,1,1,0.991304,0.972477,1] precision 0.9945906082653353 [1,0.991304,1,0.981132,1,1,0.990654,1,0.981481,1] precision 0.9928038098326267 [1,0.991071,0.982759,0.990476,1,0.990566,1,1,0.972477,1] predictive_accuracy 0.9945454545454545 predictive_accuracy 0.99 predictive_accuracy 0.9927206551410372 predictive_accuracy 0.9936305732484076 predictive_accuracy 0.9963603275705186 predictive_accuracy 0.9909008189262967 predictive_accuracy 0.9927206551410372 predictive_accuracy 0.9936305732484076 predictive_accuracy 0.994540491355778 predictive_accuracy 0.9927206551410372 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 0.9945454545454545 [0.991304,1,0.991304,0.990476,1,0.980952,1,0.991228,1,1] recall 0.99 [0.965217,1,0.982609,0.990476,0.991228,0.990476,0.990566,1,0.990566,1] recall 0.9927206551410374 [0.991304,1,1,0.990476,1,0.980952,1,0.982609,0.990476,0.990566] recall 0.9936305732484076 [0.991228,0.982609,1,0.990476,1,1,0.990476,0.991304,0.990476,1] recall 0.9963603275705186 [1,0.982609,1,1,1,0.990566,1,1,1,0.990476] recall 0.9909008189262967 [0.973684,0.991304,0.973684,0.990566,1,1,0.990476,0.991228,1,1] recall 0.9927206551410374 [0.982456,0.982456,1,0.990566,1,0.981132,1,0.991228,1,1] recall 0.9936305732484076 [1,0.982456,0.991228,1,0.982456,1,1,1,1,0.980952] recall 0.9945404913557779 [0.991228,1,0.991228,0.981132,1,0.980952,1,1,1,1] recall 0.9927206551410374 [0.991228,0.973684,0.991304,0.990476,1,1,1,0.991228,1,0.990566] relative_absolute_error 0.006061684053956525 relative_absolute_error 0.011113087432253626 relative_absolute_error 0.008089697703430739 relative_absolute_error 0.007078485490501897 relative_absolute_error 0.004044816508086654 relative_absolute_error 0.010112041270216634 relative_absolute_error 0.00808956832995038 relative_absolute_error 0.007078314388038485 relative_absolute_error 0.0060671266183187 relative_absolute_error 0.00808956832995038 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 0.03302891295379082 root_mean_squared_error 0.04472135954999579 root_mean_squared_error 0.038155851082010195 root_mean_squared_error 0.03569153051241248 root_mean_squared_error 0.026980261042033476 root_mean_squared_error 0.04265953837936685 root_mean_squared_error 0.038155851082010195 root_mean_squared_error 0.03569153051241248 root_mean_squared_error 0.03304393634003679 root_mean_squared_error 0.038155851082010195 root_relative_squared_error 0.11010617245305131 root_relative_squared_error 0.1490844622660098 root_relative_squared_error 0.12719902955181228 root_relative_squared_error 0.11898379712825385 root_relative_squared_error 0.08994257714130263 root_relative_squared_error 0.14221170119595622 root_relative_squared_error 0.12719699532862402 root_relative_squared_error 0.11898092102946943 root_relative_squared_error 0.11015492817853348 root_relative_squared_error 0.12719699532862402 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 4499.436872007209 usercpu_time_millis 4410.799714998575 usercpu_time_millis 4421.82046698872 usercpu_time_millis 4488.445886003319 usercpu_time_millis 4498.792640995816 usercpu_time_millis 4407.087970001157 usercpu_time_millis 4454.142531016259 usercpu_time_millis 4416.455970000243 usercpu_time_millis 4434.526684999582 usercpu_time_millis 4463.76739598054 usercpu_time_millis_testing 259.56979001057334 usercpu_time_millis_testing 257.8328569943551 usercpu_time_millis_testing 257.819901991752 usercpu_time_millis_testing 257.5575420050882 usercpu_time_millis_testing 260.8631199982483 usercpu_time_millis_testing 257.8093140036799 usercpu_time_millis_testing 259.97655901301187 usercpu_time_millis_testing 257.8645809990121 usercpu_time_millis_testing 258.9770199992927 usercpu_time_millis_testing 261.7063529905863 usercpu_time_millis_training 4239.8670819966355 usercpu_time_millis_training 4152.96685800422 usercpu_time_millis_training 4164.000564996968 usercpu_time_millis_training 4230.888343998231 usercpu_time_millis_training 4237.929520997568 usercpu_time_millis_training 4149.2786559974775 usercpu_time_millis_training 4194.165972003248 usercpu_time_millis_training 4158.591389001231 usercpu_time_millis_training 4175.54966500029 usercpu_time_millis_training 4202.061042989953 wall_clock_time_millis 4499.602556228638 wall_clock_time_millis 4410.910606384277 wall_clock_time_millis 4421.937465667725 wall_clock_time_millis 4488.561153411865 wall_clock_time_millis 4498.878479003906 wall_clock_time_millis 4407.177209854126 wall_clock_time_millis 4454.232215881348 wall_clock_time_millis 4416.562557220459 wall_clock_time_millis 4434.615850448608 wall_clock_time_millis 4463.850736618042 wall_clock_time_millis_testing 259.5832347869873 wall_clock_time_millis_testing 257.845401763916 wall_clock_time_millis_testing 257.83371925354004 wall_clock_time_millis_testing 257.57288932800293 wall_clock_time_millis_testing 260.87474822998047 wall_clock_time_millis_testing 257.82155990600586 wall_clock_time_millis_testing 259.9911689758301 wall_clock_time_millis_testing 257.892370223999 wall_clock_time_millis_testing 258.9914798736572 wall_clock_time_millis_testing 261.7182731628418 wall_clock_time_millis_training 4240.01932144165 wall_clock_time_millis_training 4153.065204620361 wall_clock_time_millis_training 4164.103746414185 wall_clock_time_millis_training 4230.988264083862 wall_clock_time_millis_training 4238.003730773926 wall_clock_time_millis_training 4149.35564994812 wall_clock_time_millis_training 4194.241046905518 wall_clock_time_millis_training 4158.67018699646 wall_clock_time_millis_training 4175.624370574951 wall_clock_time_millis_training 4202.1324634552