10363428 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) 8218874 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 21.816851587853648 13389 cache_size 200 13389 class_weight null 13389 coef0 0.4723685507387202 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.011068733091048558 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 54612 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 21648558 description https://api.openml.org/data/download/21648558/description.xml -1 21648559 predictions https://api.openml.org/data/download/21648559/predictions.arff area_under_roc_curve 0.9972694155098346 [0.997762,0.994243,0.997175,0.995806,0.999411,0.995957,0.999476,0.999391,0.997903,0.995433] average_cost 0 f_measure 0.9950867819170847 [0.997371,0.990368,0.995626,0.992417,0.998253,0.99383,0.999053,0.994774,0.996209,0.992881] kappa 0.9945404866355294 kb_relative_information_score 0.9948504914353326 mean_absolute_error 0.0009825327510917024 mean_prior_absolute_error 0.17996797657803554 number_of_instances 10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055] precision 0.9950937595117169 [0.999122,0.991236,0.996497,0.992417,0.997382,0.995247,0.999053,0.989601,0.996209,0.994297] predictive_accuracy 0.9950873362445415 prior_entropy 3.320771739846944 recall 0.9950873362445415 [0.995626,0.989501,0.994755,0.992417,0.999126,0.992417,0.999053,1,0.996209,0.991469] relative_absolute_error 0.005459486569632395 root_mean_prior_squared_error 0.29997328837006915 root_mean_squared_error 0.031345378464642956 root_relative_squared_error 0.10449389889000045 total_cost 0 area_under_roc_curve 0.9979843518284013 [1,0.999493,1,0.994736,1,0.990476,1,1,0.999497,0.99478] area_under_roc_curve 0.9944336264446018 [0.991304,0.989707,0.990289,0.995238,1,0.994736,1,0.998479,0.99478,0.990063] area_under_roc_curve 0.9964681427300817 [1,0.991228,0.999492,0.994232,1,0.994735,1,0.999492,0.994735,0.990063] area_under_roc_curve 0.9969665647341877 [1,0.986957,0.999492,0.994232,1,0.999496,0.995238,0.998984,0.995238,1] area_under_roc_curve 0.9989842557055012 [1,0.995144,1,1,0.995652,1,1,0.999492,1,1] area_under_roc_curve 0.9989837398373984 [1,0.998984,0.991228,1,1,1,1,1,1,1] area_under_roc_curve 0.9979787353563001 [0.995106,1,1,0.995283,1,0.995283,1,0.999492,0.994735,0.999497] area_under_roc_curve 0.9984771573604061 [1,0.995614,1,1,0.999492,1,1,0.998985,1,0.990476] area_under_roc_curve 0.9959595339968613 [0.995614,0.994599,0.995614,0.989559,1,0.985714,0.999496,0.999492,1,0.998993] area_under_roc_curve 0.9964604888212525 [0.995614,0.99072,0.995652,0.994735,0.998985,0.998994,1,0.999492,1,0.990566] 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 0.9963590140357622 [1,0.995633,1,0.990476,1,0.990385,1,1,0.995305,0.990566] f_measure 0.9900110220645334 [0.991228,0.978166,0.982609,0.995215,1,0.990476,1,0.987013,0.990566,0.985782] f_measure 0.9936264599152019 [1,0.99115,0.995671,0.985782,1,0.990476,1,0.995671,0.990476,0.985782] f_measure 0.994536535068978 [1,0.986784,0.995633,0.985782,1,0.995305,0.995215,0.991379,0.995215,1] f_measure 0.9981801637852593 [1,0.991304,1,1,0.995633,1,1,0.995633,1,1] f_measure 0.998179955534243 [1,0.991379,0.99115,1,1,1,1,1,1,1] f_measure 0.9963601580872311 [0.991228,1,1,0.995261,1,0.995261,1,0.995633,0.990476,0.995261] f_measure 0.9972693912925388 [1,0.995595,1,1,0.995633,1,1,0.991304,1,0.990385] f_measure 0.9927154526113819 [0.995595,0.9869,0.995595,0.981132,1,0.985507,0.995305,0.995633,1,0.990654] f_measure 0.9936303869265031 [0.995595,0.986784,0.995633,0.990476,0.991304,0.990566,1,0.995633,1,0.990476] kappa 0.9959588315145014 kappa 0.9888867356301358 kappa 0.9929214011448321 kappa 0.9939326351355081 kappa 0.9979775804022204 kappa 0.9979775748196104 kappa 0.9959551980213962 kappa 0.9969664180546431 kappa 0.9919105597925747 kappa 0.9929216616659168 kb_relative_information_score 0.9961381807462248 kb_relative_information_score 0.9895492246413126 kb_relative_information_score 0.9932916056075516 kb_relative_information_score 0.9942864490268403 kb_relative_information_score 0.998123865390725 kb_relative_information_score 0.9981241706928866 kb_relative_information_score 0.9961628533050966 kb_relative_information_score 0.9971292638216762 kb_relative_information_score 0.9923543845311397 kb_relative_information_score 0.9933485867366221 mean_absolute_error 0.0007272727272727273 mean_absolute_error 0.0019999999999999996 mean_absolute_error 0.0012738853503184713 mean_absolute_error 0.001091901728844404 mean_absolute_error 0.0003639672429481347 mean_absolute_error 0.0003639672429481347 mean_absolute_error 0.0007279344858962694 mean_absolute_error 0.0005459508644222021 mean_absolute_error 0.0014558689717925385 mean_absolute_error 0.0012738853503184713 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 0.9963800376786967 [1,0.991304,1,0.990476,1,1,1,1,0.990654,0.990566] precision 0.9900849874762918 [1,0.973913,0.982609,1,1,0.990476,1,0.974359,0.990566,0.990476] precision 0.993654763871078 [1,1,0.991379,0.981132,1,0.990476,1,0.991379,0.990476,0.990476] precision 0.9946051841722318 [1,1,0.991304,0.981132,1,0.990654,1,0.982906,1,1] precision 0.9981880761166277 [1,0.991304,1,1,1,1,1,0.991304,1,1] precision 0.9982112720966224 [1,0.982906,1,1,1,1,1,1,1,1] precision 0.9963768240349755 [0.991228,1,1,1,1,1,1,0.991304,0.990476,0.990566] precision 0.9973095344957185 [1,1,1,1,0.991304,1,1,0.982759,1,1] precision 0.9927865967133314 [1,0.982609,1,0.981132,1,1,0.990654,0.991304,1,0.981481] precision 0.9936958253237875 [1,0.99115,1,0.990476,0.982759,0.981308,1,0.991304,1,1] predictive_accuracy 0.9963636363636365 predictive_accuracy 0.99 predictive_accuracy 0.9936305732484076 predictive_accuracy 0.994540491355778 predictive_accuracy 0.9981801637852594 predictive_accuracy 0.9981801637852594 predictive_accuracy 0.9963603275705186 predictive_accuracy 0.997270245677889 predictive_accuracy 0.9927206551410372 predictive_accuracy 0.9936305732484076 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 [1,1,1,0.990476,1,0.980952,1,1,1,0.990566] recall 0.99 [0.982609,0.982456,0.982609,0.990476,1,0.990476,1,1,0.990566,0.981132] recall 0.9936305732484076 [1,0.982456,1,0.990476,1,0.990476,1,1,0.990476,0.981132] recall 0.9945404913557779 [1,0.973913,1,0.990476,1,1,0.990476,1,0.990476,1] recall 0.9981801637852593 [1,0.991304,1,1,0.991304,1,1,1,1,1] recall 0.9981801637852593 [1,1,0.982456,1,1,1,1,1,1,1] recall 0.9963603275705186 [0.991228,1,1,0.990566,1,0.990566,1,1,0.990476,1] recall 0.997270245677889 [1,0.991228,1,1,1,1,1,1,1,0.980952] recall 0.9927206551410374 [0.991228,0.991228,0.991228,0.981132,1,0.971429,1,1,1,1] recall 0.9936305732484076 [0.991228,0.982456,0.991304,0.990476,1,1,1,1,1,0.981132] relative_absolute_error 0.004041122702637684 relative_absolute_error 0.011113087432253626 relative_absolute_error 0.007078485490501897 relative_absolute_error 0.006067273277573055 relative_absolute_error 0.002022408254043327 relative_absolute_error 0.002022408254043327 relative_absolute_error 0.004044784164975191 relative_absolute_error 0.0030335633091593513 relative_absolute_error 0.008089502157758267 relative_absolute_error 0.007078372288706582 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 0.04472135954999579 root_mean_squared_error 0.03569153051241248 root_mean_squared_error 0.03304393634003679 root_mean_squared_error 0.019077925541005097 root_mean_squared_error 0.019077925541005097 root_mean_squared_error 0.026980261042033476 root_mean_squared_error 0.023365591463136604 root_mean_squared_error 0.038155851082010195 root_mean_squared_error 0.03569153051241248 root_relative_squared_error 0.08990131334695498 root_relative_squared_error 0.1490844622660098 root_relative_squared_error 0.11898379712825385 root_relative_squared_error 0.11015759092859702 root_relative_squared_error 0.06359900621400924 root_relative_squared_error 0.06359900621400924 root_relative_squared_error 0.08994185794342366 root_relative_squared_error 0.07789129669615813 root_relative_squared_error 0.12719595487288038 root_relative_squared_error 0.11898189428669914 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 707.798580013332 usercpu_time_millis 677.6310900022509 usercpu_time_millis 651.1313640075969 usercpu_time_millis 660.5333240149776 usercpu_time_millis 694.7225170006277 usercpu_time_millis 686.4103929983685 usercpu_time_millis 682.6454989932245 usercpu_time_millis 691.9470769935288 usercpu_time_millis 655.283246000181 usercpu_time_millis 658.5094839974772 usercpu_time_millis_testing 100.17195000546053 usercpu_time_millis_testing 88.40349699312355 usercpu_time_millis_testing 88.34192200447433 usercpu_time_millis_testing 89.3505370040657 usercpu_time_millis_testing 92.43126200453844 usercpu_time_millis_testing 90.56618600152433 usercpu_time_millis_testing 91.053957992699 usercpu_time_millis_testing 92.20677800476551 usercpu_time_millis_testing 87.75005799543578 usercpu_time_millis_testing 89.07800700399093 usercpu_time_millis_training 607.6266300078714 usercpu_time_millis_training 589.2275930091273 usercpu_time_millis_training 562.7894420031225 usercpu_time_millis_training 571.1827870109119 usercpu_time_millis_training 602.2912549960893 usercpu_time_millis_training 595.8442069968442 usercpu_time_millis_training 591.5915410005255 usercpu_time_millis_training 599.7402989887632 usercpu_time_millis_training 567.5331880047452 usercpu_time_millis_training 569.4314769934863 wall_clock_time_millis 708.0223560333252 wall_clock_time_millis 677.6764392852783 wall_clock_time_millis 651.172399520874 wall_clock_time_millis 663.257360458374 wall_clock_time_millis 695.1930522918701 wall_clock_time_millis 686.4335536956787 wall_clock_time_millis 682.6701164245605 wall_clock_time_millis 692.185640335083 wall_clock_time_millis 655.3230285644531 wall_clock_time_millis 658.5502624511719 wall_clock_time_millis_testing 100.38018226623535 wall_clock_time_millis_testing 88.41466903686523 wall_clock_time_millis_testing 88.35148811340332 wall_clock_time_millis_testing 90.46721458435059 wall_clock_time_millis_testing 92.44155883789062 wall_clock_time_millis_testing 90.576171875 wall_clock_time_millis_testing 91.0651683807373 wall_clock_time_millis_testing 92.23508834838867 wall_clock_time_millis_testing 87.76235580444336 wall_clock_time_millis_testing 89.08867835998535 wall_clock_time_millis_training 607.6421737670898 wall_clock_time_millis_training 589.2617702484131 wall_clock_time_millis_training 562.8209114074707 wall_clock_time_millis_training 572.7901458740234 wall_clock_time_millis_training 602.7514934539795 wall_clock_time_millis_training 595.8573818206787 wall_clock_time_millis_training 591.6049480438232 wall_clock_time_millis_training 599.9505519866943 wall_clock_time_millis_training 567.5606727600098 wall_clock_time_millis_training 569.4615840911865