10559249 8323 Heinrich Peters 32 Supervised Classification 17494 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4) 8270376 copy true 17405 with_mean true 17405 with_std true 17405 add_indicator false 17407 copy true 17407 fill_value null 17407 missing_values NaN 17407 strategy "median" 17407 verbose 0 17407 memory null 17494 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"}}] 17494 verbose false 17494 C 0.04554492916694445 17495 cache_size 200 17495 class_weight null 17495 coef0 -0.33190972541700026 17495 decision_function_shape "ovr" 17495 degree 3 17495 gamma 0.13666030899153944 17495 kernel "rbf" 17495 max_iter -1 17495 probability true 17495 random_state 1 17495 shrinking true 17495 tol 0.001 17495 verbose false 17495 openml-python Sklearn_0.21.2. 32 pendigits https://www.openml.org/data/download/32/dataset_32_pendigits.arff -1 22043463 description https://api.openml.org/data/download/22043463/description.xml -1 22043464 predictions https://api.openml.org/data/download/22043464/predictions.arff area_under_roc_curve 0.9996169028958252 [0.999978,0.998966,0.999527,0.998481,0.999978,0.999901,0.999556,0.999934,0.999946,0.99988] average_cost 0 f_measure 0.984703069446617 [0.994301,0.955026,0.972222,0.983003,0.992573,0.98673,0.99858,0.988646,0.989573,0.988101] kappa 0.9830149260480019 kb_relative_information_score 0.9801351111467115 mean_absolute_error 0.005987438720836205 mean_prior_absolute_error 0.17996797657803554 weighted_recall 0.9847161572052402 [0.992126,0.947507,0.979021,0.98673,0.993007,0.98673,0.999053,0.991243,0.989573,0.983886] number_of_instances 10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055] precision 0.9847209116667021 [0.996485,0.962667,0.965517,0.979304,0.99214,0.98673,0.998108,0.986063,0.989573,0.992352] predictive_accuracy 0.9847161572052401 prior_entropy 3.320771739846944 relative_absolute_error 0.03326946735015385 root_mean_prior_squared_error 0.29997328837006915 root_mean_squared_error 0.04877636599175286 root_relative_squared_error 0.16260236455313565 total_cost 0 unweighted_recall 0.9848876412116813 [0.992126,0.947507,0.979021,0.98673,0.993007,0.98673,0.999053,0.991243,0.989573,0.983886] area_under_roc_curve 0.9999356954260518 [0.999982,0.999786,0.999912,0.999866,0.999991,0.999962,1,0.999982,0.999934,0.999943] area_under_roc_curve 0.9995745569108275 [0.999894,0.998496,0.998535,0.999703,0.999964,0.999943,1,0.999795,0.999905,0.999611] area_under_roc_curve 0.9990818628556377 [0.999991,0.999136,0.999169,0.99291,0.999991,0.999856,1,0.99992,0.999828,0.999753] area_under_roc_curve 0.9992519086977448 [1,0.997976,0.999377,0.998936,0.999973,0.999534,0.996819,0.99985,0.999971,1] area_under_roc_curve 0.9999344971724233 [1,0.999602,0.999938,0.999962,0.999991,0.999895,1,0.999991,0.99999,0.99999] area_under_roc_curve 0.9999242873268109 [0.999947,0.999673,0.999733,0.999962,1,1,1,1,0.999952,1] area_under_roc_curve 0.9999141354477592 [1,0.999466,0.999777,0.999971,1,0.99999,1,0.999982,0.99999,0.99999] area_under_roc_curve 0.9996909193627875 [1,0.998014,0.999617,0.999971,0.999911,0.999943,1,0.999893,0.99999,0.999645] area_under_roc_curve 0.999396615093105 [1,0.998753,0.999644,0.995497,1,1,1,0.999982,0.99999,1] area_under_roc_curve 0.999737883675583 [0.999991,0.998459,0.999505,0.999866,0.999955,1,1,0.999893,0.99999,0.999791] 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 0.9899859082056636 [0.995671,0.982301,0.987124,0.985646,0.991228,0.985646,1,0.995633,0.990566,0.985782] f_measure 0.972709250708679 [0.982301,0.923767,0.940678,0.990476,0.991228,0.980952,1,0.973913,0.981308,0.966825] f_measure 0.9863382234653534 [0.995633,0.977578,0.987124,0.976526,0.995595,0.971154,1,0.991379,0.976303,0.990566] f_measure 0.9800053004395246 [1,0.935065,0.968889,0.971698,0.987013,0.986047,0.995215,0.978355,0.995215,0.985507] f_measure 0.9890972265594156 [1,0.973684,0.982759,0.986047,0.991228,0.976526,1,0.995595,0.995215,0.990385] f_measure 0.9918166547803876 [0.9869,0.978541,0.982301,0.990476,0.995671,1,1,1,0.985646,1] f_measure 0.9872688066276261 [0.995595,0.947368,0.973913,0.990566,0.995671,0.995261,1,0.986667,0.995261,0.995261] f_measure 0.9853901440317712 [0.995633,0.955357,0.973913,0.985915,0.991228,0.990566,1,0.987013,0.990566,0.985507] f_measure 0.9873038725859442 [0.995595,0.956522,0.969432,0.985782,1,0.990385,0.995305,0.995595,0.995261,0.990654] f_measure 0.9770974058066442 [0.995595,0.918919,0.956522,0.967136,0.9869,0.990566,0.995305,0.982609,0.990566,0.990476] kappa 0.9888865825230948 kappa 0.9696916817442897 kappa 0.9848317832338989 kappa 0.9777528726748081 kappa 0.9878655717341799 kappa 0.9908988605862971 kappa 0.9858434014848511 kappa 0.9838208814049628 kappa 0.9858433884594081 kappa 0.9747210110491493 kb_relative_information_score 0.9837566247618507 kb_relative_information_score 0.9707333438585397 kb_relative_information_score 0.9804378715856107 kb_relative_information_score 0.9765654664129287 kb_relative_information_score 0.9830407505797578 kb_relative_information_score 0.9846809287289245 kb_relative_information_score 0.9838760544195361 kb_relative_information_score 0.9799848555709858 kb_relative_information_score 0.981905785417673 kb_relative_information_score 0.9763745790052725 mean_absolute_error 0.0053413163127216555 mean_absolute_error 0.007916114076376496 mean_absolute_error 0.005722479366625476 mean_absolute_error 0.006584424853908404 mean_absolute_error 0.005610085508783638 mean_absolute_error 0.004865680161885072 mean_absolute_error 0.005740937744191627 mean_absolute_error 0.005923808473344356 mean_absolute_error 0.005512822058319043 mean_absolute_error 0.006655551634055682 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 0.9900427052787799 [0.991379,0.991071,0.974576,0.990385,0.991228,0.990385,1,0.991304,0.990566,0.990476] precision 0.9730150800500205 [1,0.944954,0.917355,0.990476,0.991228,0.980952,1,0.965517,0.972222,0.971429] precision 0.9865432550200872 [1,1,0.974576,0.962963,1,0.980583,1,0.982906,0.971698,0.990566] precision 0.9801777525695566 [1,0.931034,0.981982,0.962617,0.982759,0.972477,1,0.974138,1,1] precision 0.9892727945229913 [1,0.982301,0.966102,0.972477,1,0.971963,1,1,1,1] precision 0.9919019421126339 [0.982609,0.966102,0.991071,1,0.991379,1,1,1,0.990385,1] precision 0.9873489118575295 [1,0.947368,0.965517,0.990566,0.991379,1,1,1,0.990566,0.990566] precision 0.9854997133084918 [0.991304,0.972727,0.965517,0.981308,0.991228,0.990566,1,0.974359,0.990566,1] precision 0.9874204639731241 [1,0.948276,0.965217,0.990476,1,1,0.990654,1,1,0.981481] precision 0.9771805277250201 [1,0.944444,0.956522,0.953704,0.982609,0.981308,0.990654,0.974138,0.990566,1] predictive_accuracy 0.99 predictive_accuracy 0.9727272727272727 predictive_accuracy 0.986351228389445 predictive_accuracy 0.9799818016378526 predictive_accuracy 0.989080982711556 predictive_accuracy 0.991810737033667 predictive_accuracy 0.9872611464968153 predictive_accuracy 0.9854413102820746 predictive_accuracy 0.9872611464968153 predictive_accuracy 0.9772520473157416 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 relative_absolute_error 0.029679257593299164 relative_absolute_error 0.04398623392723284 relative_absolute_error 0.031797592425588606 relative_absolute_error 0.03658708829647721 relative_absolute_error 0.03117281419874831 relative_absolute_error 0.027036476253258585 relative_absolute_error 0.03189964829214542 relative_absolute_error 0.032915504317853256 relative_absolute_error 0.030631867839865056 relative_absolute_error 0.03698172071825611 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 0.04235268342698205 root_mean_squared_error 0.062409794308954235 root_mean_squared_error 0.048942130752061754 root_mean_squared_error 0.055798760877557425 root_mean_squared_error 0.04328355869088698 root_mean_squared_error 0.04000609065020127 root_mean_squared_error 0.04133466359560489 root_mean_squared_error 0.04896712025121619 root_mean_squared_error 0.04618289020349902 root_mean_squared_error 0.05366357871137217 root_relative_squared_error 0.14118817267116732 root_relative_squared_error 0.20805115761923648 root_relative_squared_error 0.16315693030879153 root_relative_squared_error 0.18601467488076298 root_relative_squared_error 0.14429196257367968 root_relative_squared_error 0.133366051900752 root_relative_squared_error 0.13779393888973654 root_relative_squared_error 0.16323629118746588 root_relative_squared_error 0.15395481038013245 root_relative_squared_error 0.17889382039982638 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 unweighted_recall 0.9898515155814064 [1,0.973684,1,0.980952,0.991228,0.980952,1,1,0.990566,0.981132] unweighted_recall 0.9731886525172653 [0.965217,0.903509,0.965217,0.990476,0.991228,0.980952,1,0.982456,0.990566,0.962264] unweighted_recall 0.98625721399479 [0.991304,0.95614,1,0.990476,0.991228,0.961905,1,1,0.980952,0.990566] unweighted_recall 0.9802517162471396 [1,0.93913,0.95614,0.980952,0.991304,1,0.990476,0.982609,0.990476,0.971429] unweighted_recall 0.9891614804032229 [1,0.965217,1,1,0.982609,0.981132,1,0.991228,0.990476,0.980952] unweighted_recall 0.991830108495192 [0.991228,0.991304,0.973684,0.981132,1,1,1,1,0.980952,1] unweighted_recall 0.9875868917576962 [0.991228,0.947368,0.982456,0.990566,1,0.990566,1,0.973684,1,1] unweighted_recall 0.9855407386390505 [1,0.938596,0.982456,0.990566,0.991228,0.990566,1,1,0.990566,0.971429] unweighted_recall 0.9873703125738876 [0.991228,0.964912,0.973684,0.981132,1,0.980952,1,0.991228,0.990566,1] unweighted_recall 0.9777593285921942 [0.991228,0.894737,0.956522,0.980952,0.991228,1,1,0.991228,0.990566,0.981132] usercpu_time_millis 11639.397999999801 usercpu_time_millis 11616.834000000154 usercpu_time_millis 12285.256000000118 usercpu_time_millis 11722.755999999663 usercpu_time_millis 11681.760000000168 usercpu_time_millis 11736.066000000164 usercpu_time_millis 11867.52999999976 usercpu_time_millis 11762.648000000127 usercpu_time_millis 11793.95599999998 usercpu_time_millis 11604.531999999836 usercpu_time_millis_testing 284.7159999998894 usercpu_time_millis_testing 267.11199999999735 usercpu_time_millis_testing 285.65200000002733 usercpu_time_millis_testing 273.3859999998458 usercpu_time_millis_testing 267.99000000005435 usercpu_time_millis_testing 278.0800000000454 usercpu_time_millis_testing 269.2299999998795 usercpu_time_millis_testing 276.21399999998175 usercpu_time_millis_testing 274.8579999999947 usercpu_time_millis_testing 266.96399999991627 usercpu_time_millis_training 11354.681999999912 usercpu_time_millis_training 11349.722000000156 usercpu_time_millis_training 11999.60400000009 usercpu_time_millis_training 11449.369999999817 usercpu_time_millis_training 11413.770000000113 usercpu_time_millis_training 11457.986000000119 usercpu_time_millis_training 11598.299999999881 usercpu_time_millis_training 11486.434000000145 usercpu_time_millis_training 11519.097999999985 usercpu_time_millis_training 11337.56799999992 wall_clock_time_millis 5872.561454772949 wall_clock_time_millis 5847.5611209869385 wall_clock_time_millis 6287.029266357422 wall_clock_time_millis 5916.908979415894 wall_clock_time_millis 5869.513273239136 wall_clock_time_millis 5923.436880111694 wall_clock_time_millis 5993.495225906372 wall_clock_time_millis 5951.351881027222 wall_clock_time_millis 5951.165199279785 wall_clock_time_millis 5824.170112609863 wall_clock_time_millis_testing 143.2192325592041 wall_clock_time_millis_testing 133.87608528137207 wall_clock_time_millis_testing 146.23212814331055 wall_clock_time_millis_testing 137.71891593933105 wall_clock_time_millis_testing 134.23418998718262 wall_clock_time_millis_testing 143.30506324768066 wall_clock_time_millis_testing 135.57004928588867 wall_clock_time_millis_testing 139.1301155090332 wall_clock_time_millis_testing 137.8490924835205 wall_clock_time_millis_testing 133.81409645080566 wall_clock_time_millis_training 5729.342222213745 wall_clock_time_millis_training 5713.685035705566 wall_clock_time_millis_training 6140.797138214111 wall_clock_time_millis_training 5779.1900634765625 wall_clock_time_millis_training 5735.279083251953 wall_clock_time_millis_training 5780.131816864014 wall_clock_time_millis_training 5857.925176620483 wall_clock_time_millis_training 5812.2217655181885 wall_clock_time_millis_training 5813.316106796265 wall_clock_time_millis_training 5690.356016159058 weighted_recall 0.99 [1,0.973684,1,0.980952,0.991228,0.980952,1,1,0.990566,0.981132] weighted_recall 0.9727272727272728 [0.965217,0.903509,0.965217,0.990476,0.991228,0.980952,1,0.982456,0.990566,0.962264] weighted_recall 0.986351228389445 [0.991304,0.95614,1,0.990476,0.991228,0.961905,1,1,0.980952,0.990566] weighted_recall 0.9799818016378526 [1,0.93913,0.95614,0.980952,0.991304,1,0.990476,0.982609,0.990476,0.971429] weighted_recall 0.989080982711556 [1,0.965217,1,1,0.982609,0.981132,1,0.991228,0.990476,0.980952] weighted_recall 0.991810737033667 [0.991228,0.991304,0.973684,0.981132,1,1,1,1,0.980952,1] weighted_recall 0.9872611464968153 [0.991228,0.947368,0.982456,0.990566,1,0.990566,1,0.973684,1,1] weighted_recall 0.9854413102820746 [1,0.938596,0.982456,0.990566,0.991228,0.990566,1,1,0.990566,0.971429] weighted_recall 0.9872611464968153 [0.991228,0.964912,0.973684,0.981132,1,0.980952,1,0.991228,0.990566,1] weighted_recall 0.9772520473157416 [0.991228,0.894737,0.956522,0.980952,0.991228,1,1,0.991228,0.990566,0.981132]