10412967 1 Jan van Rijn 3481 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8250729 C 24506.56541052985 16360 cache_size 200 16360 class_weight null 16360 coef0 0.0 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.0012925603951445361 16360 kernel "rbf" 16360 max_iter -1 16360 probability false 16360 random_state 25671 16360 shrinking true 16360 tol 4.104869123217376e-05 16360 verbose false 16360 openml-python Sklearn_0.21.2. 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 21747727 description https://api.openml.org/data/download/21747727/description.xml -1 21747728 predictions https://api.openml.org/data/download/21747728/predictions.arff area_under_roc_curve 0.9855946201414048 [0.998,0.964799,0.994466,0.975199,0.982333,0.980677,0.9778,0.993333,0.9966,0.9948,0.994933,0.999733,0.972111,0.972266,0.998333,0.966866,0.9998,0.999867,0.981066,0.969333,0.993267,0.954,0.996667,0.996533,0.998333,0.974266] average_cost 0 f_measure 0.972303203466258 [0.990066,0.921053,0.981818,0.940789,0.958678,0.959866,0.964706,0.993289,0.994992,0.99,0.993311,0.993377,0.944908,0.946667,0.998331,0.932007,0.995025,0.996678,0.966555,0.952703,0.991625,0.928571,0.996656,0.993333,0.998331,0.956376] kappa 0.9711889189855398 kb_relative_information_score 0.9719618883820257 mean_absolute_error 0.002130997129073307 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 0.9724168911880454 [0.983553,0.909091,0.97377,0.928571,0.95082,0.956667,0.972881,1,0.996656,0.99,0.996644,0.986842,0.943333,0.946667,1,0.927393,0.990099,0.993377,0.969799,0.965753,0.996633,0.947917,1,0.993333,1,0.962838] predictive_accuracy 0.972297037322047 prior_entropy 4.700438279892712 recall 0.972297037322047 [0.996667,0.933333,0.99,0.953333,0.966667,0.963087,0.956667,0.986667,0.993333,0.99,0.99,1,0.946488,0.946667,0.996667,0.936667,1,1,0.963333,0.94,0.986667,0.91,0.993333,0.993333,0.996667,0.95] relative_absolute_error 0.028811083471217157 root_mean_prior_squared_error 0.19230768465256318 root_mean_squared_error 0.04616272445462147 root_relative_squared_error 0.24004617671947093 total_cost 0 area_under_roc_curve 0.9806666666666668 [0.998667,0.983333,0.982,0.980667,0.965333,0.982667,0.983333,0.983333,1,1,1,0.998667,0.966,0.966,0.983333,0.914667,0.998667,1,0.998667,0.948667,0.966667,0.965333,1,0.966667,1,0.964667] area_under_roc_curve 0.9886666666666666 [0.999333,0.948667,1,0.998667,0.998,0.998667,0.982667,1,0.983333,0.998667,0.983333,1,0.999333,0.983333,1,0.948667,1,0.999333,0.983333,0.983333,0.983333,0.933333,1,1,1,1] area_under_roc_curve 0.9833333333333333 [0.999333,0.915333,0.998667,0.949333,0.981333,0.998,0.982667,0.983333,1,0.983333,0.983333,1,0.998667,0.966,1,0.998667,1,1,0.95,0.95,1,0.962667,1,1,1,0.966] area_under_roc_curve 0.9880000000000001 [1,0.998667,0.999333,0.95,1,0.982667,0.999333,0.983333,1,0.983333,1,1,0.964667,0.948667,1,0.964667,1,1,0.982667,0.948667,1,0.983333,1,0.999333,1,0.999333] area_under_roc_curve 0.9813333333333334 [1,0.962667,1,0.965333,0.982,0.981333,0.982667,1,1,0.982667,0.983333,0.999333,0.948,0.965333,1,0.965333,1,1,0.949333,0.965333,1,0.932,0.983333,1,1,0.966667] area_under_roc_curve 0.9913333333333334 [1,0.998667,0.983333,0.998,0.983333,0.966667,0.966,1,1,1,1,1,0.966667,0.998667,1,0.95,1,1,0.999333,0.983333,1,0.983333,1,0.999333,1,0.998] area_under_roc_curve 0.9853333333333334 [0.982667,0.982667,0.999333,0.982,0.949333,0.982667,1,0.983333,0.999333,1,0.999333,1,0.948,0.948,1,0.948,0.999333,1,0.983333,0.999333,0.982667,0.999333,1,1,0.983333,0.966667] area_under_roc_curve 0.9826461949265687 [1,0.962661,0.983333,0.964664,0.981998,0.965332,0.948665,1,1,1,1,1,0.998,0.95,1,0.998665,1,1,0.965332,0.981998,1,0.866667,1,1,1,0.981998] area_under_roc_curve 0.9853137516688919 [1,0.946662,1,0.963329,0.999332,0.982759,0.965999,1,0.983333,1,1,0.999332,0.965999,0.998665,1,0.980663,1,0.999332,1,0.933333,1,0.949332,1,1,1,0.95] area_under_roc_curve 0.9893190921228304 [1,0.948665,0.998665,1,0.982666,0.965517,0.966667,1,1,1,1,1,0.966667,0.997997,1,0.999332,1,1,0.998665,0.999332,1,0.964664,0.983333,1,1,0.949332] 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 0.9627944082715537 [0.967742,0.983051,0.95082,0.920635,0.933333,0.966667,0.983051,0.983051,1,1,1,0.967742,0.949153,0.949153,0.983051,0.862069,0.967742,1,0.967742,0.915254,0.965517,0.933333,1,0.965517,1,0.918033] f_measure 0.9780953109816864 [0.983607,0.915254,1,0.967742,0.952381,0.967742,0.966667,1,0.983051,0.967742,0.983051,1,0.983607,0.983051,1,0.915254,1,0.983607,0.983051,0.983051,0.983051,0.928571,1,1,1,1] f_measure 0.9679532995493344 [0.983607,0.877193,0.967742,0.931034,0.935484,0.952381,0.966667,0.983051,1,0.983051,0.983051,1,0.967742,0.949153,1,0.967742,1,1,0.947368,0.947368,1,0.875,1,1,1,0.949153] f_measure 0.9768690965422183 [1,0.967742,0.983607,0.947368,1,0.966667,0.983607,0.983051,1,0.983051,1,1,0.918033,0.915254,1,0.918033,1,1,0.966667,0.915254,1,0.983051,1,0.983607,1,0.983607] f_measure 0.9642608427051431 [1,0.875,1,0.933333,0.95082,0.935484,0.966667,1,1,0.966667,0.983051,0.983607,0.9,0.933333,1,0.933333,1,1,0.931034,0.933333,1,0.896552,0.983051,1,1,0.965517] f_measure 0.9833545279422458 [1,0.967742,0.983051,0.952381,0.983051,0.965517,0.949153,1,1,1,1,1,0.965517,0.967742,1,0.947368,1,1,0.983607,0.983051,1,0.983051,1,0.983607,1,0.952381] f_measure 0.9717242288296509 [0.966667,0.966667,0.983607,0.95082,0.931034,0.966667,1,0.983051,0.983607,1,0.983607,1,0.9,0.9,1,0.9,0.983607,1,0.983051,0.983607,0.966667,0.983607,1,1,0.983051,0.965517] f_measure 0.9662716344200865 [1,0.875,0.983051,0.918033,0.95082,0.933333,0.915254,1,1,1,1,1,0.95082,0.947368,1,0.967742,1,1,0.933333,0.95082,1,0.846154,1,1,1,0.95082] f_measure 0.9719033771245018 [1,0.870968,1,0.888889,0.983607,0.982456,0.949153,1,0.983051,1,1,0.983607,0.949153,0.967742,1,0.920635,1,0.983607,1,0.928571,1,0.931034,1,1,1,0.947368] f_measure 0.9794208330832054 [1,0.915254,0.967742,1,0.966667,0.964286,0.965517,1,1,1,1,1,0.965517,0.952381,1,0.983607,1,1,0.967742,0.983607,1,0.918033,0.983051,1,1,0.931034] kappa 0.9613333333333334 kappa 0.9773333333333333 kappa 0.9666666666666667 kappa 0.976 kappa 0.9626666666666667 kappa 0.9826666666666666 kappa 0.9706666666666667 kappa 0.9652889530987844 kappa 0.9706289128173313 kappa 0.9786391727135313 kb_relative_information_score 0.9623721276711269 kb_relative_information_score 0.9779452321423071 kb_relative_information_score 0.9675665178563336 kb_relative_information_score 0.9766428598143397 kb_relative_information_score 0.9636682097911096 kb_relative_information_score 0.9831270375323805 kb_relative_information_score 0.9714522455055894 kb_relative_information_score 0.9662207953530418 kb_relative_information_score 0.9714167868668656 kb_relative_information_score 0.979208312266907 mean_absolute_error 0.002859960552268244 mean_absolute_error 0.0016765285996055222 mean_absolute_error 0.0024654832347140027 mean_absolute_error 0.0017751479289940823 mean_absolute_error 0.0027613412228796835 mean_absolute_error 0.0012820512820512818 mean_absolute_error 0.0021696252465483227 mean_absolute_error 0.0025673940949935805 mean_absolute_error 0.0021724103880714912 mean_absolute_error 0.0015799348276883574 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 0.9636829614582674 [0.9375,1,0.935484,0.878788,0.933333,0.966667,1,1,1,1,1,0.9375,0.965517,0.965517,1,0.892857,0.9375,1,0.9375,0.931034,1,0.933333,1,1,1,0.903226] precision 0.9789827826048627 [0.967742,0.931034,1,0.9375,0.909091,0.9375,0.966667,1,1,0.9375,1,1,0.967742,1,1,0.931034,1,0.967742,1,1,1,1,1,1,1,1] precision 0.9695009633067851 [0.967742,0.925926,0.9375,0.964286,0.90625,0.909091,0.966667,1,1,1,1,1,0.9375,0.965517,1,0.9375,1,1,1,1,1,0.823529,1,1,1,0.965517] precision 0.9773200636034339 [1,0.9375,0.967742,1,1,0.966667,0.967742,1,1,1,1,1,0.903226,0.931034,1,0.903226,1,1,0.966667,0.931034,1,1,1,0.967742,1,0.967742] precision 0.9650972702976972 [1,0.823529,1,0.933333,0.935484,0.90625,0.966667,1,1,0.966667,1,0.967742,0.9,0.933333,1,0.933333,1,1,0.964286,0.933333,1,0.928571,1,1,1,1] precision 0.9843916511741871 [1,0.9375,1,0.909091,1,1,0.965517,1,1,1,1,1,1,0.9375,1,1,1,1,0.967742,1,1,1,1,0.967742,1,0.909091] precision 0.9720341486470517 [0.966667,0.966667,0.967742,0.935484,0.964286,0.966667,1,1,0.967742,1,0.967742,1,0.9,0.9,1,0.9,0.967742,1,1,0.967742,0.966667,0.967742,1,1,1,1] precision 0.9683356731917137 [1,0.823529,1,0.903226,0.935484,0.933333,0.931034,1,1,1,1,1,0.90625,1,1,0.9375,1,1,0.933333,0.935484,1,1,1,1,1,0.935484] precision 0.9733145852670863 [1,0.84375,1,0.848485,0.967742,1,0.965517,1,1,1,1,0.967742,0.965517,0.9375,1,0.878788,1,0.967742,1,1,1,0.964286,1,1,1,1] precision 0.9801586951304723 [1,0.931034,0.9375,1,0.966667,1,1,1,1,1,1,1,1,0.909091,1,0.967742,1,1,0.9375,0.967742,1,0.903226,1,1,1,0.964286] predictive_accuracy 0.9628205128205128 predictive_accuracy 0.9782051282051282 predictive_accuracy 0.967948717948718 predictive_accuracy 0.9769230769230769 predictive_accuracy 0.9641025641025641 predictive_accuracy 0.9833333333333333 predictive_accuracy 0.9717948717948718 predictive_accuracy 0.9666238767650834 predictive_accuracy 0.9717586649550707 predictive_accuracy 0.9794608472400513 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 0.9628205128205128 [1,0.966667,0.966667,0.966667,0.933333,0.966667,0.966667,0.966667,1,1,1,1,0.933333,0.933333,0.966667,0.833333,1,1,1,0.9,0.933333,0.933333,1,0.933333,1,0.933333] recall 0.9782051282051282 [1,0.9,1,1,1,1,0.966667,1,0.966667,1,0.966667,1,1,0.966667,1,0.9,1,1,0.966667,0.966667,0.966667,0.866667,1,1,1,1] recall 0.967948717948718 [1,0.833333,1,0.9,0.966667,1,0.966667,0.966667,1,0.966667,0.966667,1,1,0.933333,1,1,1,1,0.9,0.9,1,0.933333,1,1,1,0.933333] recall 0.9769230769230769 [1,1,1,0.9,1,0.966667,1,0.966667,1,0.966667,1,1,0.933333,0.9,1,0.933333,1,1,0.966667,0.9,1,0.966667,1,1,1,1] recall 0.9641025641025641 [1,0.933333,1,0.933333,0.966667,0.966667,0.966667,1,1,0.966667,0.966667,1,0.9,0.933333,1,0.933333,1,1,0.9,0.933333,1,0.866667,0.966667,1,1,0.933333] recall 0.9833333333333333 [1,1,0.966667,1,0.966667,0.933333,0.933333,1,1,1,1,1,0.933333,1,1,0.9,1,1,1,0.966667,1,0.966667,1,1,1,1] recall 0.9717948717948718 [0.966667,0.966667,1,0.966667,0.9,0.966667,1,0.966667,1,1,1,1,0.9,0.9,1,0.9,1,1,0.966667,1,0.966667,1,1,1,0.966667,0.933333] recall 0.9666238767650834 [1,0.933333,0.966667,0.933333,0.966667,0.933333,0.9,1,1,1,1,1,1,0.9,1,1,1,1,0.933333,0.966667,1,0.733333,1,1,1,0.966667] recall 0.9717586649550706 [1,0.9,1,0.933333,1,0.965517,0.933333,1,0.966667,1,1,1,0.933333,1,1,0.966667,1,1,1,0.866667,1,0.9,1,1,1,0.9] recall 0.9794608472400513 [1,0.9,1,1,0.966667,0.931034,0.933333,1,1,1,1,1,0.933333,1,1,1,1,1,1,1,1,0.933333,0.966667,1,1,0.9] relative_absolute_error 0.038666666666666426 relative_absolute_error 0.02266666666666652 relative_absolute_error 0.03333333333333311 relative_absolute_error 0.023999999999999848 relative_absolute_error 0.037333333333333094 relative_absolute_error 0.01733333333333323 relative_absolute_error 0.029333333333333145 relative_absolute_error 0.034711173404494554 relative_absolute_error 0.029370997893075356 relative_absolute_error 0.021360725740418442 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 0.0534785990118313 root_mean_squared_error 0.04094543441710592 root_mean_squared_error 0.04965363264368482 root_mean_squared_error 0.04213250442347431 root_mean_squared_error 0.05254846546645947 root_mean_squared_error 0.03580574370197164 root_mean_squared_error 0.04657923621688448 root_mean_squared_error 0.050669459193813986 root_mean_squared_error 0.046609123442428 root_mean_squared_error 0.0397483940265309 root_relative_squared_error 0.2780887038650852 root_relative_squared_error 0.21291625054962193 root_relative_squared_error 0.2581988795372251 root_relative_squared_error 0.21908901433864847 root_relative_squared_error 0.27325200962040863 root_relative_squared_error 0.186189859887763 root_relative_squared_error 0.24221201875003037 root_relative_squared_error 0.26348121716553147 root_relative_squared_error 0.24236751026735753 root_relative_squared_error 0.20669170724130556 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 11040.130298000804 usercpu_time_millis 11075.312602999475 usercpu_time_millis 10966.899133001789 usercpu_time_millis 11051.143484999557 usercpu_time_millis 10965.176243000315 usercpu_time_millis 11113.338987001043 usercpu_time_millis 11034.636242999113 usercpu_time_millis 11050.117675000365 usercpu_time_millis 10926.960800001325 usercpu_time_millis 11061.657133999688 usercpu_time_millis_testing 2716.846785000598 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