10363425 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) 8218871 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 6.5031187555491305 13389 cache_size 200 13389 class_weight null 13389 coef0 0.3569381453006406 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.15364377981481867 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 4559 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 21648552 description https://api.openml.org/data/download/21648552/description.xml -1 21648553 predictions https://api.openml.org/data/download/21648553/predictions.arff area_under_roc_curve 0.9980798616979711 [0.998637,0.99702,0.998536,0.996007,0.999461,0.997903,0.999053,0.998433,0.998226,0.997379] average_cost 0 f_measure 0.996543155255422 [0.998249,0.994316,0.997378,0.994302,0.998689,0.996209,0.999052,0.9965,0.99527,0.995261] kappa 0.9961581323454866 kb_relative_information_score 0.9963736953098643 mean_absolute_error 0.0006914119359534211 mean_prior_absolute_error 0.17996797657803554 number_of_instances 10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055] precision 0.9965453120867511 [0.999124,0.993881,0.997378,0.996194,0.998253,0.996209,1,0.995629,0.99339,0.995261] predictive_accuracy 0.9965429403202328 prior_entropy 3.320771739846944 recall 0.9965429403202329 [0.997375,0.994751,0.997378,0.992417,0.999126,0.996209,0.998106,0.997373,0.997156,0.995261] relative_absolute_error 0.0038418609193709495 root_mean_prior_squared_error 0.29997328837006915 root_mean_squared_error 0.02629471307988397 root_relative_squared_error 0.08765684845726954 total_cost 0 area_under_roc_curve 0.9979843518284013 [1,0.999493,1,0.994736,1,0.990476,1,0.995614,0.999497,0.999497] area_under_roc_curve 0.9959600262694279 [0.991304,0.998986,0.990797,0.994736,0.995614,0.994736,1,0.999493,0.999497,0.99478] area_under_roc_curve 0.9964681427300817 [0.999492,0.995614,0.999492,0.994735,1,0.994735,1,0.995652,0.98947,0.994779] area_under_roc_curve 0.9974695828428396 [1,0.991304,0.999492,0.994735,1,0.999496,0.995238,0.998984,0.995238,1] area_under_roc_curve 0.9989842557055012 [1,0.995652,1,1,0.999492,1,1,0.999492,1,0.995238] area_under_roc_curve 0.9979777036200944 [1,0.998984,0.995614,0.995283,1,1,0.995238,0.995614,0.998994,1] area_under_roc_curve 0.9994969818913481 [0.995614,1,1,1,1,1,1,1,0.999497,1] area_under_roc_curve 0.9989847715736041 [1,0.995614,1,1,0.999492,1,1,0.999492,1,0.995238] area_under_roc_curve 0.9984853364413842 [1,0.995106,1,0.990566,1,1,1,1,1,0.998993] area_under_roc_curve 0.99898936767815 [1,0.999492,1,0.995238,1,0.999497,1,1,1,0.995283] 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 0.9963591456490973 [1,0.995633,1,0.990476,1,0.990385,1,0.995595,0.995305,0.995305] f_measure 0.9927233651679918 [0.991228,0.991304,0.9869,0.990476,0.995595,0.990476,1,0.995633,0.995305,0.990566] f_measure 0.993630521342169 [0.995671,0.995595,0.995671,0.990476,1,0.990476,1,0.995633,0.980952,0.990566] f_measure 0.9954500408505819 [1,0.991228,0.995633,0.990476,1,0.995305,0.995215,0.991379,0.995215,1] f_measure 0.9981799564673949 [1,0.995633,1,1,0.995671,1,1,0.995633,1,0.995215] f_measure 0.9963684143337868 [1,0.991379,0.995595,0.995261,1,1,0.995215,0.995595,0.990566,1] f_measure 0.9990902338717695 [0.995595,1,1,1,1,1,1,1,0.995261,1] f_measure 0.9981799561642927 [1,0.995595,1,1,0.995633,1,1,0.995633,1,0.995215] f_measure 0.9972700836986976 [1,0.991228,1,0.990476,1,1,1,1,1,0.990654] f_measure 0.9981799736684404 [1,0.995633,1,0.995215,1,0.995261,1,1,1,0.995261] kappa 0.9959588612070881 kappa 0.9919178189132222 kappa 0.9929214011448321 kappa 0.9949438160892465 kappa 0.9979775617934001 kappa 0.9959551533609675 kappa 0.9989888143917752 kappa 0.9979776287835502 kappa 0.9969664682955913 kappa 0.9979775971498658 kb_relative_information_score 0.9961659783456628 kb_relative_information_score 0.9924177911763615 kb_relative_information_score 0.9932912999896975 kb_relative_information_score 0.9952246983464592 kb_relative_information_score 0.9980954311379047 kb_relative_information_score 0.9961911963968381 kb_relative_information_score 0.9990618093796367 kb_relative_information_score 0.9980955516049365 kb_relative_information_score 0.9971292638216761 kb_relative_information_score 0.9980673626169734 mean_absolute_error 0.0007272727272727273 mean_absolute_error 0.0014545454545454545 mean_absolute_error 0.0012738853503184713 mean_absolute_error 0.0009099181073703367 mean_absolute_error 0.0003639672429481347 mean_absolute_error 0.0007279344858962694 mean_absolute_error 0.00018198362147406734 mean_absolute_error 0.0003639672429481347 mean_absolute_error 0.0005459508644222021 mean_absolute_error 0.0003639672429481347 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 0.9963885338554171 [1,0.991304,1,0.990476,1,1,1,1,0.990654,0.990654] precision 0.992767047523057 [1,0.982759,0.991228,0.990476,1,0.990476,1,0.991304,0.990654,0.990566] precision 0.993646261491638 [0.991379,1,0.991379,0.990476,1,0.990476,1,1,0.980952,0.990566] precision 0.9954979340134251 [1,1,0.991304,0.990476,1,0.990654,1,0.982906,1,1] precision 0.9981959202382429 [1,1,1,1,0.991379,1,1,0.991304,1,1] precision 0.9964254515120637 [1,0.982906,1,1,1,1,1,1,0.981308,1] precision 0.9990986660257181 [1,1,1,1,1,1,1,1,0.990566,1] precision 0.9981959884479961 [1,1,1,1,0.991304,1,1,0.991304,1,1] precision 0.9973039463485323 [1,0.991228,1,1,1,1,1,1,1,0.981481] precision 0.9981966602497162 [1,0.991304,1,1,1,0.990566,1,1,1,1] predictive_accuracy 0.9963636363636365 predictive_accuracy 0.9927272727272727 predictive_accuracy 0.9936305732484076 predictive_accuracy 0.9954504094631482 predictive_accuracy 0.9981801637852594 predictive_accuracy 0.9963603275705186 predictive_accuracy 0.9990900818926296 predictive_accuracy 0.9981801637852594 predictive_accuracy 0.997270245677889 predictive_accuracy 0.9981801637852594 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 0.9963636363636363 [1,1,1,0.990476,1,0.980952,1,0.991228,1,1] recall 0.9927272727272727 [0.982609,1,0.982609,0.990476,0.991228,0.990476,1,1,1,0.990566] recall 0.9936305732484076 [1,0.991228,1,0.990476,1,0.990476,1,0.991304,0.980952,0.990566] recall 0.9954504094631483 [1,0.982609,1,0.990476,1,1,0.990476,1,0.990476,1] recall 0.9981801637852593 [1,0.991304,1,1,1,1,1,1,1,0.990476] recall 0.9963603275705186 [1,1,0.991228,0.990566,1,1,0.990476,0.991228,1,1] recall 0.9990900818926297 [0.991228,1,1,1,1,1,1,1,1,1] recall 0.9981801637852593 [1,0.991228,1,1,1,1,1,1,1,0.990476] recall 0.997270245677889 [1,0.991228,1,0.981132,1,1,1,1,1,1] recall 0.9981801637852593 [1,1,1,0.990476,1,1,1,1,1,0.990566] relative_absolute_error 0.004041122702637684 relative_absolute_error 0.008082245405275365 relative_absolute_error 0.007078485490501897 relative_absolute_error 0.0050560610646442124 relative_absolute_error 0.002022408254043327 relative_absolute_error 0.004044816508086654 relative_absolute_error 0.0010111960412437977 relative_absolute_error 0.002022375539439567 relative_absolute_error 0.0030335633091593513 relative_absolute_error 0.0020223920824875953 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 0.026967994498529685 root_mean_squared_error 0.03813850356982369 root_mean_squared_error 0.03569153051241248 root_mean_squared_error 0.030164848870338084 root_mean_squared_error 0.019077925541005097 root_mean_squared_error 0.026980261042033476 root_mean_squared_error 0.013490130521016738 root_mean_squared_error 0.019077925541005097 root_mean_squared_error 0.023365591463136604 root_mean_squared_error 0.019077925541005097 root_relative_squared_error 0.08990131334695498 root_relative_squared_error 0.12713965661041707 root_relative_squared_error 0.11898379712825385 root_relative_squared_error 0.10055966238669839 root_relative_squared_error 0.06359900621400924 root_relative_squared_error 0.08994257714130263 root_relative_squared_error 0.04497092897171183 root_relative_squared_error 0.06359797743644019 root_relative_squared_error 0.07789129669615813 root_relative_squared_error 0.06359849766431201 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 1399.6727269986877 usercpu_time_millis 1336.0346389963524 usercpu_time_millis 1357.5304850091925 usercpu_time_millis 1369.664138997905 usercpu_time_millis 1395.4356299946085 usercpu_time_millis 1392.0262840110809 usercpu_time_millis 853.6088459950406 usercpu_time_millis 850.4304439993575 usercpu_time_millis 853.7458720093127 usercpu_time_millis 849.8038510006154 usercpu_time_millis_testing 140.27105100103654 usercpu_time_millis_testing 133.6257359944284 usercpu_time_millis_testing 140.93876200786326 usercpu_time_millis_testing 138.35833799385 usercpu_time_millis_testing 138.78394100174773 usercpu_time_millis_testing 143.47028300107922 usercpu_time_millis_testing 84.6409789955942 usercpu_time_millis_testing 83.93630100181326 usercpu_time_millis_testing 84.69477400649339 usercpu_time_millis_testing 84.32855299906805 usercpu_time_millis_training 1259.4016759976512 usercpu_time_millis_training 1202.408903001924 usercpu_time_millis_training 1216.5917230013292 usercpu_time_millis_training 1231.305801004055 usercpu_time_millis_training 1256.6516889928607 usercpu_time_millis_training 1248.5560010100016 usercpu_time_millis_training 768.9678669994464 usercpu_time_millis_training 766.4941429975443 usercpu_time_millis_training 769.0510980028193 usercpu_time_millis_training 765.4752980015473 wall_clock_time_millis 1399.7318744659424 wall_clock_time_millis 1336.0648155212402 wall_clock_time_millis 1357.5770854949951 wall_clock_time_millis 1377.244472503662 wall_clock_time_millis 1395.9136009216309 wall_clock_time_millis 1392.0972347259521 wall_clock_time_millis 853.6322116851807 wall_clock_time_millis 850.4619598388672 wall_clock_time_millis 853.7673950195312 wall_clock_time_millis 849.8272895812988 wall_clock_time_millis_testing 140.28453826904297 wall_clock_time_millis_testing 133.6386203765869 wall_clock_time_millis_testing 140.96403121948242 wall_clock_time_millis_testing 139.45746421813965 wall_clock_time_millis_testing 138.7958526611328 wall_clock_time_millis_testing 143.479585647583 wall_clock_time_millis_testing 84.65003967285156 wall_clock_time_millis_testing 83.94408226013184 wall_clock_time_millis_testing 84.7022533416748 wall_clock_time_millis_testing 84.33771133422852 wall_clock_time_millis_training 1259.4473361968994 wall_clock_time_millis_training 1202.4261951446533 wall_clock_time_millis_training 1216.6130542755127 wall_clock_time_millis_training 1237.7870082855225 wall_clock_time_millis_training 1257.117748260498 wall_clock_time_millis_training 1248.6176490783691 wall_clock_time_millis_training 768.9821720123291 wall_clock_time_millis_training 766.5178775787354 wall_clock_time_millis_training 769.0651416778564 wall_clock_time_millis_training 765.4895782470703