10363373 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) 8218820 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 128.0 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.03125 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 20250 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 21648448 description https://api.openml.org/data/download/21648448/description.xml -1 21648449 predictions https://api.openml.org/data/download/21648449/predictions.arff area_under_roc_curve 0.9976755068793465 [0.998199,0.995657,0.998435,0.995382,0.998974,0.997429,0.999476,0.998871,0.998276,0.995907] average_cost 0 f_measure 0.995814428269859 [0.99781,0.99256,0.996507,0.99241,0.997816,0.995733,0.999053,0.996939,0.995741,0.993359] kappa 0.9953493179741035 kb_relative_information_score 0.9956120461150685 mean_absolute_error 0.0008369723435225618 mean_prior_absolute_error 0.17996797657803554 number_of_instances 10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055] precision 0.99581544182157 [0.999123,0.992995,0.995637,0.993352,0.99738,0.996205,0.999053,0.995633,0.994329,0.994302] predictive_accuracy 0.9958151382823871 prior_entropy 3.320771739846944 recall 0.9958151382823872 [0.9965,0.992126,0.997378,0.991469,0.998252,0.995261,0.999053,0.998249,0.997156,0.992417] relative_absolute_error 0.004650673744501672 root_mean_prior_squared_error 0.29997328837006915 root_mean_squared_error 0.028930474305177954 root_relative_squared_error 0.09644350156100295 total_cost 0 area_under_roc_curve 0.9979843518284013 [1,0.995107,1,0.994736,1,0.995238,1,1,0.999497,0.99478] area_under_roc_curve 0.9954564933390586 [0.991304,0.995107,0.990289,0.994233,1,0.990476,1,0.999493,0.999497,0.994277] area_under_roc_curve 0.9969665554301417 [0.999492,0.995614,0.999492,0.994735,1,0.999497,1,0.999492,0.989973,0.990566] area_under_roc_curve 0.9974695828428396 [1,0.995652,0.999492,0.995238,1,0.999496,0.995238,0.998984,0.994735,0.995238] area_under_roc_curve 0.9979731075155485 [1,0.994636,1,0.995283,0.995652,0.995283,1,0.999492,0.999497,1] area_under_roc_curve 0.9989837398373984 [1,0.999492,0.995614,0.995283,0.999492,1,1,1,1,1] area_under_roc_curve 0.9994969818913481 [0.995614,1,1,1,1,1,1,1,0.999497,1] area_under_roc_curve 0.998481753464952 [1,0.995106,1,1,0.995106,1,1,1,1,0.994735] area_under_roc_curve 0.9979818117686751 [1,0.995106,1,0.990063,1,0.995238,1,1,1,0.998993] area_under_roc_curve 0.9959610443849866 [0.995614,0.99072,0.999492,0.994232,0.999492,0.998994,0.999496,0.991228,1,0.990566] 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 0.9963635955212207 [1,0.991228,1,0.990476,1,0.995215,1,1,0.995305,0.990566] f_measure 0.9918184497888859 [0.991228,0.991228,0.982609,0.985782,1,0.990385,1,0.995633,0.995305,0.985915] f_measure 0.9945313554945875 [0.995671,0.995595,0.995671,0.990476,1,0.995261,1,0.995671,0.985646,0.990476] f_measure 0.9954538590300298 [1,0.995633,0.995633,0.995215,1,0.995305,0.995215,0.991379,0.990476,0.995215] f_measure 0.9963640799256116 [1,0.987013,1,0.995261,0.995633,0.995261,1,0.995633,0.995261,1] f_measure 0.9981799423957332 [1,0.995671,0.995595,0.995261,0.995671,1,1,1,1,1] f_measure 0.9990902338717695 [0.995595,1,1,1,1,1,1,1,0.995261,1] f_measure 0.997270245677889 [1,0.991228,1,1,0.991228,1,1,1,1,0.990476] f_measure 0.9963601860283492 [1,0.991228,1,0.985782,1,0.995215,1,1,1,0.990654] f_measure 0.9927170649257404 [0.995595,0.986784,0.995671,0.985782,0.995633,0.990566,0.995305,0.99115,1,0.990476] kappa 0.9959588649186308 kappa 0.9909075295757858 kappa 0.9939325290606461 kappa 0.9949437695647133 kappa 0.9959551310303834 kappa 0.9979775599324996 kappa 0.9989888143917752 kappa 0.9969664682955913 kappa 0.9959552873392948 kappa 0.9919105821215769 kb_relative_information_score 0.9961662836711948 kb_relative_information_score 0.9914520313432305 kb_relative_information_score 0.9942298549271702 kb_relative_information_score 0.9951965685154356 kb_relative_information_score 0.9961911675779709 kb_relative_information_score 0.9980957364400663 kb_relative_information_score 0.9990618093796367 kb_relative_information_score 0.9971576962759845 kb_relative_information_score 0.9961629760384154 kb_relative_information_score 0.9924094796261752 mean_absolute_error 0.0007272727272727273 mean_absolute_error 0.001636363636363636 mean_absolute_error 0.001091901728844404 mean_absolute_error 0.0009099181073703367 mean_absolute_error 0.0007279344858962694 mean_absolute_error 0.0003639672429481347 mean_absolute_error 0.00018198362147406734 mean_absolute_error 0.0005459508644222021 mean_absolute_error 0.0007279344858962694 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 0.996372132540357 [1,0.991228,1,0.990476,1,1,1,1,0.990654,0.990566] precision 0.9918687281453454 [1,0.991228,0.982609,0.981132,1,1,1,0.991304,0.990654,0.981308] precision 0.9945638586411412 [0.991379,1,0.991379,0.990476,1,0.990566,1,0.991379,0.990385,1] precision 0.9954979340134251 [1,1,0.991304,1,1,0.990654,1,0.982906,0.990476,1] precision 0.9963925122782061 [1,0.982759,1,1,1,1,1,0.991304,0.990566,1] precision 0.9981958520284897 [1,0.991379,1,1,0.991379,1,1,1,1,1] precision 0.9990986660257181 [1,1,1,1,1,1,1,1,0.990566,1] precision 0.997270245677889 [1,0.991228,1,1,0.991228,1,1,1,1,0.990476] precision 0.9963853623544252 [1,0.991228,1,0.990476,1,1,1,1,1,0.981481] precision 0.9927880470252937 [1,0.99115,0.991379,0.981132,0.991304,0.981308,0.990654,1,1,1] predictive_accuracy 0.9963636363636365 predictive_accuracy 0.9918181818181818 predictive_accuracy 0.994540491355778 predictive_accuracy 0.9954504094631482 predictive_accuracy 0.9963603275705186 predictive_accuracy 0.9981801637852594 predictive_accuracy 0.9990900818926296 predictive_accuracy 0.997270245677889 predictive_accuracy 0.9963603275705186 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 0.9963636363636363 [1,0.991228,1,0.990476,1,0.990476,1,1,1,0.990566] recall 0.9918181818181818 [0.982609,0.991228,0.982609,0.990476,1,0.980952,1,1,1,0.990566] recall 0.9945404913557779 [1,0.991228,1,0.990476,1,1,1,1,0.980952,0.981132] recall 0.9954504094631483 [1,0.991304,1,0.990476,1,1,0.990476,1,0.990476,0.990476] recall 0.9963603275705186 [1,0.991304,1,0.990566,0.991304,0.990566,1,1,1,1] recall 0.9981801637852593 [1,1,0.991228,0.990566,1,1,1,1,1,1] recall 0.9990900818926297 [0.991228,1,1,1,1,1,1,1,1,1] recall 0.997270245677889 [1,0.991228,1,1,0.991228,1,1,1,1,0.990476] recall 0.9963603275705186 [1,0.991228,1,0.981132,1,0.990476,1,1,1,1] recall 0.9927206551410374 [0.991228,0.982456,1,0.990476,1,1,1,0.982456,1,0.981132] relative_absolute_error 0.004041122702637684 relative_absolute_error 0.009092526080934785 relative_absolute_error 0.006067273277573055 relative_absolute_error 0.0050560610646442124 relative_absolute_error 0.004044816508086654 relative_absolute_error 0.002022408254043327 relative_absolute_error 0.0010111960412437977 relative_absolute_error 0.0030335633091593513 relative_absolute_error 0.004044751078879134 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 0.026967994498529685 root_mean_squared_error 0.04045199174779452 root_mean_squared_error 0.03304393634003679 root_mean_squared_error 0.030164848870338084 root_mean_squared_error 0.026980261042033476 root_mean_squared_error 0.019077925541005097 root_mean_squared_error 0.013490130521016738 root_mean_squared_error 0.023365591463136604 root_mean_squared_error 0.026980261042033476 root_mean_squared_error 0.038155851082010195 root_relative_squared_error 0.08990131334695498 root_relative_squared_error 0.13485197002043245 root_relative_squared_error 0.11015759092859702 root_relative_squared_error 0.10055966238669839 root_relative_squared_error 0.08994257714130263 root_relative_squared_error 0.06359900621400924 root_relative_squared_error 0.04497092897171183 root_relative_squared_error 0.07789129669615813 root_relative_squared_error 0.0899411222301118 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 683.0704349995358 usercpu_time_millis 649.8377979878569 usercpu_time_millis 661.4676769968355 usercpu_time_millis 662.7012349927099 usercpu_time_millis 682.478192000417 usercpu_time_millis 688.2948170095915 usercpu_time_millis 670.8793830039212 usercpu_time_millis 671.859548005159 usercpu_time_millis 668.0808649980463 usercpu_time_millis 671.4912260067649 usercpu_time_millis_testing 83.09300499968231 usercpu_time_millis_testing 78.26158999523614 usercpu_time_millis_testing 78.61333299661055 usercpu_time_millis_testing 85.99521599535365 usercpu_time_millis_testing 83.39219099434558 usercpu_time_millis_testing 82.40020500670653 usercpu_time_millis_testing 83.01710100204218 usercpu_time_millis_testing 81.53359399875626 usercpu_time_millis_testing 79.34596699487884 usercpu_time_millis_testing 81.49791300820652 usercpu_time_millis_training 599.9774299998535 usercpu_time_millis_training 571.5762079926208 usercpu_time_millis_training 582.854344000225 usercpu_time_millis_training 576.7060189973563 usercpu_time_millis_training 599.0860010060715 usercpu_time_millis_training 605.894612002885 usercpu_time_millis_training 587.8622820018791 usercpu_time_millis_training 590.3259540064028 usercpu_time_millis_training 588.7348980031675 usercpu_time_millis_training 589.9933129985584 wall_clock_time_millis 683.0945014953613 wall_clock_time_millis 649.8608589172363 wall_clock_time_millis 661.5147590637207 wall_clock_time_millis 662.7523899078369 wall_clock_time_millis 682.5170516967773 wall_clock_time_millis 688.3227825164795 wall_clock_time_millis 670.905351638794 wall_clock_time_millis 671.8840599060059 wall_clock_time_millis 668.114423751831 wall_clock_time_millis 671.527624130249 wall_clock_time_millis_testing 83.10461044311523 wall_clock_time_millis_testing 78.27091217041016 wall_clock_time_millis_testing 78.62234115600586 wall_clock_time_millis_testing 86.00616455078125 wall_clock_time_millis_testing 83.41741561889648 wall_clock_time_millis_testing 82.41510391235352 wall_clock_time_millis_testing 83.02998542785645 wall_clock_time_millis_testing 81.5432071685791 wall_clock_time_millis_testing 79.35714721679688 wall_clock_time_millis_testing 81.51078224182129 wall_clock_time_millis_training 599.9898910522461 wall_clock_time_millis_training 571.5899467468262 wall_clock_time_millis_training 582.8924179077148 wall_clock_time_millis_training 576.7462253570557 wall_clock_time_millis_training 599.0996360778809 wall_clock_time_millis_training 605.907678604126 wall_clock_time_millis_training 587.8753662109375 wall_clock_time_millis_training 590.3408527374268 wall_clock_time_millis_training 588.7572765350342 wall_clock_time_millis_training 590.0168418884277