10363349 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) 8218802 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 3.081620245614723 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.053322514098660845 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.31447231452702795 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 40151 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 21648400 description https://api.openml.org/data/download/21648400/description.xml -1 21648401 predictions https://api.openml.org/data/download/21648401/predictions.arff area_under_roc_curve 0.9965096843520809 [0.997325,0.995016,0.997409,0.995806,0.999258,0.993587,0.998479,0.995349,0.996804,0.995907] average_cost 0 f_measure 0.9937230901855042 [0.996931,0.990385,0.994326,0.992417,0.996947,0.991437,0.997631,0.989952,0.993842,0.993359] kappa 0.993023931661226 kb_relative_information_score 0.9934207025503957 mean_absolute_error 0.0012554585152838413 mean_prior_absolute_error 0.17996797657803554 number_of_instances 10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055] precision 0.9937299638150652 [0.999121,0.98952,0.993025,0.992417,0.994778,0.995224,0.998104,0.987794,0.993371,0.994302] predictive_accuracy 0.9937227074235808 prior_entropy 3.320771739846944 recall 0.9937227074235808 [0.994751,0.991251,0.995629,0.992417,0.999126,0.987678,0.997159,0.992119,0.994313,0.992417] relative_absolute_error 0.0069760106167525 root_mean_prior_squared_error 0.29997328837006915 root_mean_squared_error 0.03543245003219282 root_relative_squared_error 0.11811868391588501 total_cost 0 area_under_roc_curve 0.9964717217654548 [1,0.998986,1,0.994233,1,0.985714,0.999497,0.991228,0.999497,0.99478] area_under_roc_curve 0.994940716560203 [0.995652,0.995107,0.989782,0.994736,0.999493,0.994736,0.995283,0.998986,0.995283,0.990063] area_under_roc_curve 0.9944453397861193 [0.995144,0.995614,0.999492,0.994232,1,0.989973,1,0.990288,0.98947,0.989559] area_under_roc_curve 0.995447286462934 [1,0.995144,0.999492,0.995238,1,0.985346,0.995238,0.994128,0.988967,1] area_under_roc_curve 0.9979685114110024 [1,0.990796,0.999492,1,0.995144,1,1,0.999492,1,0.995238] area_under_roc_curve 0.9964446370352028 [0.991228,0.998476,0.995614,0.995283,0.999492,0.990566,0.995238,0.998477,1,1] area_under_roc_curve 0.9974752106835914 [0.995614,0.995106,1,1,1,0.990566,0.999496,0.995106,0.999497,0.999497] area_under_roc_curve 0.9984812469008952 [1,0.991228,0.995106,0.999496,0.999492,1,1,1,1,1] area_under_roc_curve 0.9979777222281861 [1,0.998985,0.995614,0.990063,1,1,1,0.995614,1,0.999496] area_under_roc_curve 0.9954447445267535 [0.995614,0.99072,0.999492,0.994735,0.998985,0.998994,1,0.990213,0.995283,0.990566] 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 0.9936271916405791 [1,0.991304,1,0.985782,1,0.985507,0.995305,0.99115,0.995305,0.990566] f_measure 0.9909160634743311 [0.995633,0.991228,0.978355,0.990476,0.995633,0.990476,0.995261,0.991304,0.995261,0.985782] f_measure 0.9899908042131385 [0.991304,0.995595,0.995671,0.985782,1,0.985646,1,0.982609,0.980952,0.981132] f_measure 0.9918175075692569 [1,0.991304,0.995633,0.995215,1,0.980952,0.995215,0.982759,0.976303,1] f_measure 0.9963561640121827 [1,0.9869,0.995633,1,0.991304,1,1,0.995633,1,0.995215] f_measure 0.993644786445318 [0.99115,0.987124,0.995595,0.995261,0.995671,0.990476,0.995215,0.987013,1,1] f_measure 0.9954461877175957 [0.995595,0.991228,1,1,1,0.990476,0.995305,0.991228,0.995261,0.995261] f_measure 0.9972663159840144 [1,0.99115,0.991228,0.995305,0.995633,1,1,1,1,1] f_measure 0.9963598987979357 [1,0.991304,0.995595,0.985782,1,1,1,0.995595,1,0.995305] f_measure 0.9918103640274294 [0.995595,0.986784,0.995671,0.990476,0.991304,0.990566,1,0.982456,0.995261,0.990476] kappa 0.9929280071124043 kappa 0.9898969488785614 kappa 0.9888764875133074 kappa 0.9908987265946552 kappa 0.9959551273085954 kappa 0.9929212839040872 kappa 0.9949440766108106 kappa 0.9969664906243675 kappa 0.9959552910607884 kappa 0.9908991955481415 kb_relative_information_score 0.9932974115047692 kb_relative_information_score 0.9904588077225518 kb_relative_information_score 0.9894817374313216 kb_relative_information_score 0.9913588761260362 kb_relative_information_score 0.9962192965286297 kb_relative_information_score 0.9933205842366547 kb_relative_information_score 0.9952524851571494 kb_relative_information_score 0.9971858234474419 kb_relative_information_score 0.9961911029037647 kb_relative_information_score 0.9914431609346621 mean_absolute_error 0.0012727272727272726 mean_absolute_error 0.001818181818181818 mean_absolute_error 0.0020018198362147404 mean_absolute_error 0.001637852593266606 mean_absolute_error 0.0007279344858962694 mean_absolute_error 0.0012738853503184713 mean_absolute_error 0.0009099181073703367 mean_absolute_error 0.0005459508644222021 mean_absolute_error 0.0007279344858962694 mean_absolute_error 0.001637852593266606 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 0.9937018566108492 [1,0.982759,1,0.981132,1,1,0.990654,1,0.990654,0.990566] precision 0.990963196972942 [1,0.991228,0.974138,0.990476,0.991304,0.990476,1,0.982759,1,0.990476] precision 0.9900071639941475 [0.991304,1,0.991379,0.981132,1,0.990385,1,0.982609,0.980952,0.981132] precision 0.9918735658062034 [1,0.991304,0.991304,1,1,0.990385,1,0.974359,0.971698,1] precision 0.9963681704954716 [1,0.991228,0.991304,1,0.991304,1,1,0.991304,1,1] precision 0.993777811604203 [1,0.974576,1,1,0.991379,1,1,0.974359,1,1] precision 0.9954760816368706 [1,0.991228,1,1,1,1,0.990654,0.991228,0.990566,0.990566] precision 0.997286661916803 [1,1,0.991228,0.990654,0.991304,1,1,1,1,1] precision 0.9963915420777884 [1,0.982759,1,0.990476,1,1,1,1,1,0.990654] precision 0.9918759208992937 [1,0.99115,0.991379,0.990476,0.982759,0.981308,1,0.982456,1,1] predictive_accuracy 0.9936363636363637 predictive_accuracy 0.990909090909091 predictive_accuracy 0.9899909008189263 predictive_accuracy 0.991810737033667 predictive_accuracy 0.9963603275705186 predictive_accuracy 0.9936305732484076 predictive_accuracy 0.9954504094631482 predictive_accuracy 0.997270245677889 predictive_accuracy 0.9963603275705186 predictive_accuracy 0.991810737033667 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 0.9936363636363637 [1,1,1,0.990476,1,0.971429,1,0.982456,1,0.990566] recall 0.990909090909091 [0.991304,0.991228,0.982609,0.990476,1,0.990476,0.990566,1,0.990566,0.981132] recall 0.9899909008189263 [0.991304,0.991228,1,0.990476,1,0.980952,1,0.982609,0.980952,0.981132] recall 0.991810737033667 [1,0.991304,1,0.990476,1,0.971698,0.990476,0.991304,0.980952,1] recall 0.9963603275705186 [1,0.982609,1,1,0.991304,1,1,1,1,0.990476] recall 0.9936305732484076 [0.982456,1,0.991228,0.990566,1,0.981132,0.990476,1,1,1] recall 0.9954504094631483 [0.991228,0.991228,1,1,1,0.981132,1,0.991228,1,1] recall 0.997270245677889 [1,0.982456,0.991228,1,1,1,1,1,1,1] recall 0.9963603275705186 [1,1,0.991228,0.981132,1,1,1,0.991228,1,1] recall 0.991810737033667 [0.991228,0.982456,1,0.990476,1,1,1,0.982456,0.990566,0.981132] relative_absolute_error 0.007071964729615945 relative_absolute_error 0.010102806756594206 relative_absolute_error 0.011123334342217265 relative_absolute_error 0.009100909916359583 relative_absolute_error 0.004044816508086654 relative_absolute_error 0.007078428889151644 relative_absolute_error 0.005055980206218989 relative_absolute_error 0.0030335633091593513 relative_absolute_error 0.004044751078879134 relative_absolute_error 0.009100764371194177 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 0.03567530340063379 root_mean_squared_error 0.04264014327112208 root_mean_squared_error 0.04474170131113412 root_mean_squared_error 0.04047039156305021 root_mean_squared_error 0.026980261042033476 root_mean_squared_error 0.03569153051241248 root_mean_squared_error 0.030164848870338084 root_mean_squared_error 0.023365591463136604 root_mean_squared_error 0.026980261042033476 root_mean_squared_error 0.04047039156305021 root_relative_squared_error 0.11892825882706734 root_relative_squared_error 0.1421464574084365 root_relative_squared_error 0.14915408321101664 root_relative_squared_error 0.1349149445346518 root_relative_squared_error 0.08994257714130263 root_relative_squared_error 0.11898284569606474 root_relative_squared_error 0.10055805419206237 root_relative_squared_error 0.07789129669615813 root_relative_squared_error 0.0899411222301118 root_relative_squared_error 0.13491278691513547 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 766.9091680145357 usercpu_time_millis 742.7651970065199 usercpu_time_millis 755.8154660073342 usercpu_time_millis 772.2243759781122 usercpu_time_millis 770.2421409921953 usercpu_time_millis 760.6505029980326 usercpu_time_millis 774.8180159978801 usercpu_time_millis 763.2890270033386 usercpu_time_millis 765.8904169948073 usercpu_time_millis 769.1500520013506 usercpu_time_millis_testing 57.19821300590411 usercpu_time_millis_testing 55.847600000561215 usercpu_time_millis_testing 57.10324000392575 usercpu_time_millis_testing 56.26004099030979 usercpu_time_millis_testing 57.32978599553462 usercpu_time_millis_testing 56.80677099735476 usercpu_time_millis_testing 57.25144200550858 usercpu_time_millis_testing 53.123963996768 usercpu_time_millis_testing 56.98756600031629 usercpu_time_millis_testing 56.217618999653496 usercpu_time_millis_training 709.7109550086316 usercpu_time_millis_training 686.9175970059587 usercpu_time_millis_training 698.7122260034084 usercpu_time_millis_training 715.9643349878024 usercpu_time_millis_training 712.9123549966607 usercpu_time_millis_training 703.8437320006778 usercpu_time_millis_training 717.5665739923716 usercpu_time_millis_training 710.1650630065706 usercpu_time_millis_training 708.902850994491 usercpu_time_millis_training 712.9324330016971 wall_clock_time_millis 770.6336975097656 wall_clock_time_millis 747.4336624145508 wall_clock_time_millis 759.615421295166 wall_clock_time_millis 775.3384113311768 wall_clock_time_millis 776.580810546875 wall_clock_time_millis 763.8962268829346 wall_clock_time_millis 779.0849208831787 wall_clock_time_millis 768.639087677002 wall_clock_time_millis 770.9090709686279 wall_clock_time_millis 772.6700305938721 wall_clock_time_millis_testing 57.21092224121094 wall_clock_time_millis_testing 55.860280990600586 wall_clock_time_millis_testing 58.08281898498535 wall_clock_time_millis_testing 56.27131462097168 wall_clock_time_millis_testing 57.33990669250488 wall_clock_time_millis_testing 56.81777000427246 wall_clock_time_millis_testing 57.26313591003418 wall_clock_time_millis_testing 54.04973030090332 wall_clock_time_millis_testing 57.00063705444336 wall_clock_time_millis_testing 56.37550354003906 wall_clock_time_millis_training 713.4227752685547 wall_clock_time_millis_training 691.5733814239502 wall_clock_time_millis_training 701.5326023101807 wall_clock_time_millis_training 719.0670967102051 wall_clock_time_millis_training 719.2409038543701 wall_clock_time_millis_training 707.0784568786621 wall_clock_time_millis_training 721.8217849731445 wall_clock_time_millis_training 714.5893573760986 wall_clock_time_millis_training 713.9084339141846 wall_clock_time_millis_training 716.294527053833