10413665 1 Jan van Rijn 3481 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8251409 C 6360.5322901186655 16360 cache_size 200 16360 class_weight null 16360 coef0 -0.05634340159786255 16360 decision_function_shape "ovr" 16360 degree 2 16360 gamma 0.0016484164275861373 16360 kernel "poly" 16360 max_iter -1 16360 probability false 16360 random_state 55216 16360 shrinking true 16360 tol 5.0719904564138633e-05 16360 verbose false 16360 openml-python Sklearn_0.21.2. 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 21749139 description https://api.openml.org/data/download/21749139/description.xml -1 21749140 predictions https://api.openml.org/data/download/21749140/predictions.arff area_under_roc_curve 0.9867950914362914 [0.998,0.966666,0.992866,0.977066,0.982266,0.978932,0.982733,0.995,0.9966,0.994867,0.994933,0.998267,0.977327,0.977466,0.998267,0.968599,0.999867,0.999867,0.9812,0.971,0.995,0.9608,0.998067,0.996533,0.998333,0.976066] average_cost 0 f_measure 0.9746142968325352 [0.990066,0.927393,0.981758,0.947195,0.957096,0.956522,0.96828,0.994975,0.994992,0.991653,0.993311,0.996667,0.954925,0.956667,0.996667,0.935323,0.996678,0.996678,0.969799,0.954469,0.994975,0.938983,0.991708,0.993333,0.998331,0.961345] kappa 0.9735898424034115 kb_relative_information_score 0.9742981243529742 mean_absolute_error 0.001953414034983865 mean_prior_absolute_error 0.07396449117237175 number_of_instances 7797 [300,300,300,300,300,298,300,300,300,300,300,300,299,300,300,300,300,300,300,300,300,300,300,300,300,300] precision 0.9747010922076798 [0.983553,0.918301,0.976898,0.937908,0.947712,0.953333,0.9699,1,0.996656,0.993311,0.996644,0.996667,0.953333,0.956667,0.996667,0.930693,0.993377,0.993377,0.976351,0.96587,1,0.955172,0.986799,0.993333,1,0.969492] predictive_accuracy 0.9746056175452097 prior_entropy 4.700438279892712 recall 0.9746056175452097 [0.996667,0.936667,0.986667,0.956667,0.966667,0.959732,0.966667,0.99,0.993333,0.99,0.99,0.996667,0.956522,0.956667,0.996667,0.94,1,1,0.963333,0.943333,0.99,0.923333,0.996667,0.993333,0.996667,0.953333] relative_absolute_error 0.026410159848615732 root_mean_prior_squared_error 0.19230768465256318 root_mean_squared_error 0.044197443760741015 root_relative_squared_error 0.22982671670448987 total_cost 0 area_under_roc_curve 0.982666666666667 [0.998667,0.982667,0.982,0.981333,0.965333,0.982667,0.983333,0.983333,1,1,1,0.999333,0.999333,0.966667,0.983333,0.914667,0.999333,1,0.999333,0.948,0.983333,0.965333,1,0.966,1,0.965333] area_under_roc_curve 0.9880000000000001 [0.999333,0.948667,1,0.982,0.997333,0.998667,0.998667,1,0.983333,0.999333,0.983333,1,0.982667,0.982667,1,0.949333,1,0.999333,0.983333,0.983333,0.983333,0.933333,1,1,1,1] area_under_roc_curve 0.9853333333333334 [0.999333,0.932,0.982667,0.966,0.982,0.981333,0.982667,0.983333,1,0.983333,0.983333,1,1,1,1,0.998667,1,1,0.95,0.949333,1,0.98,0.998667,1,1,0.966] area_under_roc_curve 0.9873333333333335 [1,0.982,0.982667,0.966,1,0.982667,0.998667,1,1,0.983333,1,1,0.964667,0.948667,1,0.964,1,1,0.982667,0.933333,1,0.983333,1,1,1,0.998667] area_under_roc_curve 0.9813333333333334 [1,0.979333,1,0.966,0.982,0.964667,0.982667,1,1,0.982667,0.983333,0.983333,0.964667,0.965333,0.999333,0.965333,1,1,0.949333,0.965333,1,0.932,0.982667,1,1,0.966667] area_under_roc_curve 0.9933333333333333 [1,0.998667,1,0.998667,1,0.966667,0.982667,1,1,1,1,1,0.966667,0.998667,1,0.95,1,1,0.999333,0.983333,1,0.983333,1,0.999333,1,0.999333] area_under_roc_curve 0.9860000000000002 [0.982667,0.983333,0.999333,0.982,0.932667,0.982667,1,0.983333,0.999333,1,0.999333,1,0.948667,0.964667,1,0.964667,0.999333,1,0.983333,0.999333,0.983333,0.998667,0.999333,1,0.983333,0.966667] area_under_roc_curve 0.9839813084112148 [1,0.963996,0.983333,0.964664,0.981998,0.965332,0.949332,1,1,1,1,1,0.998,0.95,1,0.997997,1,1,0.965332,0.981998,1,0.9,1,1,1,0.981998] area_under_roc_curve 0.9879848687138407 [1,0.94733,1,0.963996,0.998665,0.982092,0.965999,1,0.983333,1,1,1,0.982666,0.999332,1,0.981998,1,0.999332,1,0.966667,1,0.965999,1,1,1,0.95] area_under_roc_curve 0.9919893190921231 [1,0.948665,0.998665,1,0.982666,0.982759,0.983333,1,1,1,1,1,0.966667,0.998665,1,0.999332,1,1,0.999332,0.999332,1,0.965999,1,1,1,0.965999] 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 0.9665671992509322 [0.967742,0.966667,0.95082,0.935484,0.933333,0.966667,0.983051,0.983051,1,1,1,0.983607,0.983607,0.965517,0.983051,0.862069,0.983607,1,0.983607,0.9,0.983051,0.933333,1,0.949153,1,0.933333] f_measure 0.9768488820949882 [0.983607,0.915254,1,0.95082,0.9375,0.967742,0.967742,1,0.983051,0.983607,0.983051,1,0.966667,0.966667,1,0.931034,1,0.983607,0.983051,0.983051,0.983051,0.928571,1,1,1,1] f_measure 0.9718226753786477 [0.983607,0.896552,0.966667,0.949153,0.95082,0.935484,0.966667,0.983051,1,0.983051,0.983051,1,1,1,1,0.967742,1,1,0.947368,0.931034,1,0.90625,0.967742,1,1,0.949153] f_measure 0.9756400784455174 [1,0.95082,0.966667,0.949153,1,0.966667,0.967742,1,1,0.983051,1,1,0.918033,0.915254,1,0.903226,1,1,0.966667,0.928571,1,0.983051,1,1,1,0.967742] f_measure 0.9642752761980916 [1,0.892308,1,0.949153,0.95082,0.918033,0.966667,1,1,0.966667,0.983051,0.983051,0.918033,0.933333,0.983607,0.933333,1,1,0.931034,0.933333,1,0.896552,0.966667,1,1,0.965517] f_measure 0.9871237209221514 [1,0.967742,1,0.967742,1,0.965517,0.966667,1,1,1,1,1,0.965517,0.967742,1,0.947368,1,1,0.983607,0.983051,1,0.983051,1,0.983607,1,0.983607] f_measure 0.9729963952573504 [0.966667,0.983051,0.983607,0.95082,0.912281,0.966667,1,0.983051,0.983607,1,0.983607,1,0.915254,0.918033,1,0.918033,0.983607,1,0.983051,0.983607,0.983051,0.967742,0.983607,1,0.983051,0.965517] f_measure 0.9690205475736507 [1,0.903226,0.983051,0.918033,0.95082,0.933333,0.931034,1,1,1,1,1,0.95082,0.947368,1,0.952381,1,1,0.933333,0.95082,1,0.888889,1,1,1,0.95082] f_measure 0.9769635953181801 [1,0.885246,1,0.903226,0.967742,0.965517,0.949153,1,0.983051,1,1,1,0.966667,0.983607,1,0.95082,1,0.983607,1,0.965517,1,0.949153,1,1,1,0.947368] f_measure 0.9845239495369285 [1,0.915254,0.967742,1,0.966667,0.982456,0.983051,1,1,1,1,1,0.965517,0.967742,1,0.983607,1,1,0.983607,0.983607,1,0.949153,1,1,1,0.949153] kappa 0.9653333333333334 kappa 0.976 kappa 0.9706666666666667 kappa 0.9746666666666667 kappa 0.9626666666666667 kappa 0.9866666666666667 kappa 0.972 kappa 0.9679590336296472 kappa 0.9759691516709512 kappa 0.9839794069912716 kb_relative_information_score 0.9662666598598946 kb_relative_information_score 0.9766466356907967 kb_relative_information_score 0.971456017002881 kb_relative_information_score 0.975345520528593 kb_relative_information_score 0.9636669482461808 kb_relative_information_score 0.9870190553896202 kb_relative_information_score 0.972749584791336 kb_relative_information_score 0.9688188077186727 kb_relative_information_score 0.9766140772163907 kb_relative_information_score 0.9844068657839286 mean_absolute_error 0.002564102564102563 mean_absolute_error 0.0017751479289940823 mean_absolute_error 0.0021696252465483227 mean_absolute_error 0.0018737672583826422 mean_absolute_error 0.0027613412228796835 mean_absolute_error 0.0009861932938856014 mean_absolute_error 0.0020710059171597625 mean_absolute_error 0.002369902241532536 mean_absolute_error 0.001777426681149402 mean_absolute_error 0.0011849511207662681 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396448587535052 mean_prior_absolute_error 0.07396447325283656 mean_prior_absolute_error 0.07396447325283656 number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] precision 0.9669965127105005 [0.9375,0.966667,0.935484,0.90625,0.933333,0.966667,1,1,1,1,1,0.967742,0.967742,1,1,0.892857,0.967742,1,0.967742,0.9,1,0.933333,1,0.965517,1,0.933333] precision 0.9778736980374421 [0.967742,0.931034,1,0.935484,0.882353,0.9375,0.9375,1,1,0.967742,1,1,0.966667,0.966667,1,0.964286,1,0.967742,1,1,1,1,1,1,1,1] precision 0.9728708439181268 [0.967742,0.928571,0.966667,0.965517,0.935484,0.90625,0.966667,1,1,1,1,1,1,1,1,0.9375,1,1,1,0.964286,1,0.852941,0.9375,1,1,0.965517] precision 0.9763562077522033 [1,0.935484,0.966667,0.965517,1,0.966667,0.9375,1,1,1,1,1,0.903226,0.931034,1,0.875,1,1,0.966667,1,1,1,1,1,1,0.9375] precision 0.9652547396985662 [1,0.828571,1,0.965517,0.935484,0.903226,0.966667,1,1,0.966667,1,1,0.903226,0.933333,0.967742,0.933333,1,1,0.964286,0.933333,1,0.928571,0.966667,1,1,1] precision 0.9877843258891645 [1,0.9375,1,0.9375,1,1,0.966667,1,1,1,1,1,1,0.9375,1,1,1,1,0.967742,1,1,1,1,0.967742,1,0.967742] precision 0.9735853029165041 [0.966667,1,0.967742,0.935484,0.962963,0.966667,1,1,0.967742,1,0.967742,1,0.931034,0.903226,1,0.903226,0.967742,1,1,0.967742,1,0.9375,0.967742,1,1,1] precision 0.9705043277046774 [1,0.875,1,0.903226,0.935484,0.933333,0.964286,1,1,1,1,1,0.90625,1,1,0.909091,1,1,0.933333,0.935484,1,1,1,1,1,0.935484] precision 0.9776175853644257 [1,0.870968,1,0.875,0.9375,0.965517,0.965517,1,1,1,1,1,0.966667,0.967742,1,0.935484,1,0.967742,1,1,1,0.965517,1,1,1,1] precision 0.9848637267767208 [1,0.931034,0.9375,1,0.966667,1,1,1,1,1,1,1,1,0.9375,1,0.967742,1,1,0.967742,0.967742,1,0.965517,1,1,1,0.965517] predictive_accuracy 0.9666666666666667 predictive_accuracy 0.9769230769230769 predictive_accuracy 0.9717948717948718 predictive_accuracy 0.9756410256410257 predictive_accuracy 0.9641025641025641 predictive_accuracy 0.9871794871794871 predictive_accuracy 0.9730769230769231 predictive_accuracy 0.9691912708600771 predictive_accuracy 0.9768934531450577 predictive_accuracy 0.9845956354300385 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700435698259304 prior_entropy 4.700429514669705 prior_entropy 4.700429514669705 recall 0.9666666666666667 [1,0.966667,0.966667,0.966667,0.933333,0.966667,0.966667,0.966667,1,1,1,1,1,0.933333,0.966667,0.833333,1,1,1,0.9,0.966667,0.933333,1,0.933333,1,0.933333] recall 0.9769230769230769 [1,0.9,1,0.966667,1,1,1,1,0.966667,1,0.966667,1,0.966667,0.966667,1,0.9,1,1,0.966667,0.966667,0.966667,0.866667,1,1,1,1] recall 0.9717948717948718 [1,0.866667,0.966667,0.933333,0.966667,0.966667,0.966667,0.966667,1,0.966667,0.966667,1,1,1,1,1,1,1,0.9,0.9,1,0.966667,1,1,1,0.933333] recall 0.9756410256410256 [1,0.966667,0.966667,0.933333,1,0.966667,1,1,1,0.966667,1,1,0.933333,0.9,1,0.933333,1,1,0.966667,0.866667,1,0.966667,1,1,1,1] recall 0.9641025641025641 [1,0.966667,1,0.933333,0.966667,0.933333,0.966667,1,1,0.966667,0.966667,0.966667,0.933333,0.933333,1,0.933333,1,1,0.9,0.933333,1,0.866667,0.966667,1,1,0.933333] recall 0.9871794871794872 [1,1,1,1,1,0.933333,0.966667,1,1,1,1,1,0.933333,1,1,0.9,1,1,1,0.966667,1,0.966667,1,1,1,1] recall 0.9730769230769231 [0.966667,0.966667,1,0.966667,0.866667,0.966667,1,0.966667,1,1,1,1,0.9,0.933333,1,0.933333,1,1,0.966667,1,0.966667,1,1,1,0.966667,0.933333] recall 0.9691912708600771 [1,0.933333,0.966667,0.933333,0.966667,0.933333,0.9,1,1,1,1,1,1,0.9,1,1,1,1,0.933333,0.966667,1,0.8,1,1,1,0.966667] recall 0.9768934531450578 [1,0.9,1,0.933333,1,0.965517,0.933333,1,0.966667,1,1,1,0.966667,1,1,0.966667,1,1,1,0.933333,1,0.933333,1,1,1,0.9] recall 0.9845956354300385 [1,0.9,1,1,0.966667,0.965517,0.966667,1,1,1,1,1,0.933333,1,1,1,1,1,1,1,1,0.933333,1,1,1,0.933333] relative_absolute_error 0.034666666666666436 relative_absolute_error 0.023999999999999848 relative_absolute_error 0.029333333333333145 relative_absolute_error 0.025333333333333173 relative_absolute_error 0.037333333333333094 relative_absolute_error 0.013333333333333251 relative_absolute_error 0.02799999999999982 relative_absolute_error 0.03204108314261036 relative_absolute_error 0.024030816457970748 relative_absolute_error 0.016020544305313834 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230767088031558 root_mean_prior_squared_error 0.19230763806177284 root_mean_prior_squared_error 0.19230763806177284 root_mean_squared_error 0.05063696835418332 root_mean_squared_error 0.04213250442347431 root_mean_squared_error 0.04657923621688448 root_mean_squared_error 0.043287033374702896 root_mean_squared_error 0.05254846546645947 root_mean_squared_error 0.03140371465106638 root_mean_squared_error 0.04550830602384319 root_mean_squared_error 0.04868164173004579 root_mean_squared_error 0.042159538436152284 root_mean_squared_error 0.034423118986609394 root_relative_squared_error 0.2633122250296207 root_relative_squared_error 0.21908901433864847 root_relative_squared_error 0.24221201875003037 root_relative_squared_error 0.22509256464763927 root_relative_squared_error 0.27325200962040863 root_relative_squared_error 0.1632993097282147 root_relative_squared_error 0.2366431819664237 root_relative_squared_error 0.25314456520220274 root_relative_squared_error 0.21922966170802766 root_relative_squared_error 0.17900026922254664 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 12114.179389000015 usercpu_time_millis 12186.71924900002 usercpu_time_millis 12062.206027999993 usercpu_time_millis 12030.366432999983 usercpu_time_millis 12022.50031500003 usercpu_time_millis 12250.602923999992 usercpu_time_millis 12044.268786000031 usercpu_time_millis 12187.343580000059 usercpu_time_millis 12024.959051000053 usercpu_time_millis 12124.788301000024 usercpu_time_millis_testing 2647.836491000021 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