10412425 1 Jan van Rijn 3481 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8250189 C 1472.8662881498958 16360 cache_size 200 16360 class_weight null 16360 coef0 -0.3150805847806095 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.06620574278449574 16360 kernel "sigmoid" 16360 max_iter -1 16360 probability false 16360 random_state 13514 16360 shrinking false 16360 tol 0.004847036473626274 16360 verbose false 16360 openml-python Sklearn_0.21.2. 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 21746643 description https://api.openml.org/data/download/21746643/description.xml -1 21746644 predictions https://api.openml.org/data/download/21746644/predictions.arff area_under_roc_curve 0.5111519029683834 [0.448108,0.498066,0.522133,0.494331,0.536175,0.613979,0.524321,0.489593,0.509927,0.489193,0.499066,0.496798,0.506745,0.499533,0.500933,0.541108,0.516533,0.515866,0.527866,0.499133,0.526333,0.5,0.474949,0.512865,0.518267,0.5288] average_cost 0 kappa 0.02230551616356118 kb_relative_information_score 0.04859671342267072 mean_absolute_error 0.07231578220420798 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] predictive_accuracy 0.059894831345389254 prior_entropy 4.700438279892712 recall 0.059894831345389254 [0.023333,0,0.046667,0,0.196667,0.315436,0.11,0.013333,0.053333,0.013333,0.003333,0.003333,0.050167,0,0.003333,0.21,0.033333,0.036667,0.056667,0,0.056667,0,0.203333,0.033333,0.036667,0.06] relative_absolute_error 0.9777094529816813 root_mean_prior_squared_error 0.19230768465256318 root_mean_squared_error 0.2689159389181087 root_relative_squared_error 1.3983629380383393 total_cost 0 area_under_roc_curve 0.5126666666666667 [0.484,0.499333,0.531333,0.497333,0.486667,0.588667,0.669333,0.506,0.492667,0.494,0.493333,0.497333,0.489333,0.498,0.5,0.500667,0.533333,0.497333,0.5,0.497333,0.5,0.5,0.454,0.537333,0.533333,0.548667] area_under_roc_curve 0.5093333333333334 [0.439333,0.498,0.498,0.492,0.468,0.586667,0.5,0.498667,0.539333,0.498,0.499333,0.495333,0.542667,0.5,0.5,0.546,0.516667,0.532,0.548,0.498667,0.516,0.5,0.516,0.514,0.5,0.5] area_under_roc_curve 0.5039999999999999 [0.436667,0.498667,0.499333,0.490667,0.548,0.544,0.493333,0.497333,0.532,0.478,0.496667,0.496667,0.498,0.499333,0.499333,0.485333,0.499333,0.531333,0.5,0.498,0.542667,0.5,0.442667,0.515333,0.516667,0.564667] area_under_roc_curve 0.5146666666666667 [0.473333,0.498667,0.532667,0.498,0.590667,0.612,0.492667,0.476667,0.494667,0.498,0.514667,0.491333,0.493333,0.499333,0.498667,0.536667,0.55,0.564,0.516,0.5,0.516667,0.5,0.472,0.528667,0.516667,0.516] area_under_roc_curve 0.5140000000000001 [0.444,0.497333,0.547333,0.492,0.552,0.547333,0.483333,0.508,0.5,0.513333,0.494,0.508,0.54,0.498667,0.5,0.636667,0.499333,0.497333,0.565333,0.5,0.533333,0.5,0.462667,0.512,0.499333,0.532667] area_under_roc_curve 0.5140000000000001 [0.454667,0.5,0.532667,0.495333,0.667333,0.608667,0.484667,0.471333,0.492,0.493333,0.497333,0.494667,0.524667,0.5,0.5,0.506,0.5,0.498667,0.516,0.499333,0.516,0.5,0.564,0.498667,0.516667,0.532] area_under_roc_curve 0.5093333333333334 [0.452,0.499333,0.516,0.497333,0.530667,0.62,0.474,0.469333,0.536667,0.491333,0.498,0.495333,0.502,0.5,0.499333,0.591333,0.533333,0.497333,0.5,0.498667,0.530667,0.5,0.429333,0.498,0.55,0.532667] area_under_roc_curve 0.5087102803738317 [0.452581,0.5,0.516667,0.495995,0.513262,0.683934,0.485269,0.493324,0.51798,0.457276,0.5,0.492657,0.510483,0.5,0.49733,0.515287,0.5,0.513996,0.516667,0.499332,0.533333,0.5,0.501825,0.496662,0.533333,0.499332] area_under_roc_curve 0.5100801068090787 [0.419226,0.492657,0.532666,0.489319,0.471963,0.656897,0.499332,0.49733,0.507299,0.475278,0.499332,0.5,0.483979,0.5,0.514664,0.577882,0.516667,0.514664,0.516667,0.5,0.559991,0.5,0.493836,0.514664,0.516667,0.515999] area_under_roc_curve 0.5147245215843347 [0.425234,0.496662,0.514664,0.495327,0.533289,0.695471,0.661237,0.477971,0.486649,0.493324,0.497997,0.496662,0.483311,0.5,0.5,0.515287,0.516667,0.511994,0.6,0.5,0.514664,0.5,0.413129,0.513329,0.5,0.545995] 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 kappa 0.02533333333333333 kappa 0.018666666666666665 kappa 0.008 kappa 0.02933333333333333 kappa 0.028 kappa 0.028 kappa 0.018666666666666665 kappa 0.01742046823613689 kappa 0.020172802017965657 kappa 0.02946564597696422 kb_relative_information_score 0.0515493368003475 kb_relative_information_score 0.04507018774536303 kb_relative_information_score 0.03468014583002013 kb_relative_information_score 0.055450167955429876 kb_relative_information_score 0.05414400661351121 kb_relative_information_score 0.054151567124754274 kb_relative_information_score 0.04507397238014925 kb_relative_information_score 0.04385711120961364 kb_relative_information_score 0.04644757085324987 kb_relative_information_score 0.055543148045389824 mean_absolute_error 0.07209072978303867 mean_absolute_error 0.0725838264299815 mean_absolute_error 0.07337278106509001 mean_absolute_error 0.07179487179487298 mean_absolute_error 0.07189349112426155 mean_absolute_error 0.07189349112426155 mean_absolute_error 0.0725838264299815 mean_absolute_error 0.07267700207366568 mean_absolute_error 0.07247951022020463 mean_absolute_error 0.07178828873309094 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] predictive_accuracy 0.06282051282051282 predictive_accuracy 0.05641025641025641 predictive_accuracy 0.04615384615384615 predictive_accuracy 0.06666666666666667 predictive_accuracy 0.06538461538461539 predictive_accuracy 0.06538461538461539 predictive_accuracy 0.05641025641025641 predictive_accuracy 0.055198973042362 predictive_accuracy 0.057766367137355584 predictive_accuracy 0.06675224646983312 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 0.06282051282051282 [0.1,0,0.066667,0,0.033333,0.233333,0.5,0.033333,0.033333,0.033333,0,0,0,0,0,0.1,0.066667,0,0,0,0,0,0.166667,0.1,0.066667,0.1] recall 0.05641025641025641 [0,0,0,0,0,0.266667,0.033333,0.033333,0.1,0.033333,0,0,0.133333,0,0,0.3,0.033333,0.066667,0.1,0,0.033333,0,0.3,0.033333,0,0] recall 0.046153846153846156 [0.033333,0,0,0,0.266667,0.166667,0,0.033333,0.1,0,0,0,0.033333,0,0,0.066667,0,0.066667,0,0,0.1,0,0.133333,0.033333,0.033333,0.133333] recall 0.06666666666666667 [0.033333,0,0.066667,0,0.366667,0.333333,0,0,0,0,0.033333,0,0.033333,0,0,0.233333,0.1,0.133333,0.033333,0,0.033333,0,0.2,0.066667,0.033333,0.033333] recall 0.06538461538461539 [0,0,0.1,0,0.233333,0.166667,0,0.033333,0.033333,0.033333,0,0.033333,0.133333,0,0,0.466667,0,0,0.133333,0,0.066667,0,0.166667,0.033333,0,0.066667] recall 0.06538461538461539 [0.033333,0,0.066667,0,0.6,0.3,0.033333,0,0.033333,0,0,0,0.066667,0,0,0.066667,0,0,0.033333,0,0.033333,0,0.333333,0,0.033333,0.066667] recall 0.05641025641025641 [0,0,0.033333,0,0.2,0.366667,0,0,0.1,0,0,0,0.033333,0,0,0.333333,0.066667,0,0,0,0.066667,0,0.1,0,0.1,0.066667] recall 0.055198973042362 [0.033333,0,0.033333,0,0.133333,0.466667,0.066667,0,0.066667,0,0,0,0.068966,0,0,0.1,0,0.033333,0.033333,0,0.066667,0,0.266667,0,0.066667,0] recall 0.057766367137355584 [0,0,0.066667,0,0,0.413793,0,0,0.066667,0.033333,0,0,0,0,0.033333,0.333333,0.033333,0.033333,0.033333,0,0.133333,0,0.233333,0.033333,0.033333,0.033333] recall 0.06675224646983312 [0,0,0.033333,0,0.133333,0.448276,0.466667,0,0,0,0,0,0,0,0,0.1,0.033333,0.033333,0.2,0,0.033333,0,0.133333,0.033333,0,0.1] relative_absolute_error 0.9746666666666769 relative_absolute_error 0.9813333333333439 relative_absolute_error 0.992000000000011 relative_absolute_error 0.9706666666666769 relative_absolute_error 0.9720000000000103 relative_absolute_error 0.9720000000000103 relative_absolute_error 0.9813333333333439 relative_absolute_error 0.9825932163734012 relative_absolute_error 0.9799232933417129 relative_absolute_error 0.9705779758302792 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 0.2684971690410137 root_mean_squared_error 0.2694138571602832 root_mean_squared_error 0.27087410556398706 root_mean_squared_error 0.26794565082283567 root_mean_squared_error 0.2681296162759003 root_mean_squared_error 0.2681296162759003 root_mean_squared_error 0.2694138571602832 root_mean_squared_error 0.2695867245872201 root_mean_squared_error 0.26922018910216344 root_mean_squared_error 0.2679333662183397 root_relative_squared_error 1.3961852238040395 root_relative_squared_error 1.4009520018357489 root_relative_squared_error 1.408545293234748 root_relative_squared_error 1.3933173291829186 root_relative_squared_error 1.3942739495010275 root_relative_squared_error 1.3942739495010275 root_relative_squared_error 1.4009520018357489 root_relative_squared_error 1.4018511240511038 root_relative_squared_error 1.3999453782261362 root_relative_squared_error 1.3932538973427275 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 72163.71229300012 usercpu_time_millis 71288.6830819998 usercpu_time_millis 72033.69192900026 usercpu_time_millis 71145.96605799989 usercpu_time_millis 71440.11090799994 usercpu_time_millis 71002.66449499986 usercpu_time_millis 71444.14916299957 usercpu_time_millis 71034.60943799974 usercpu_time_millis 71742.52799599982 usercpu_time_millis 71551.34490699993 usercpu_time_millis_testing 5748.969147000025 usercpu_time_millis_testing 5755.922636999912 usercpu_time_millis_testing 5701.667438000186 usercpu_time_millis_testing 5729.165015000035 usercpu_time_millis_testing 5723.359732000063 usercpu_time_millis_testing 5734.609439999986 usercpu_time_millis_testing 5761.163512999701 usercpu_time_millis_testing 5706.267162999666 usercpu_time_millis_testing 5698.313900999892 usercpu_time_millis_testing 5723.416055999678 usercpu_time_millis_training 66414.7431460001 usercpu_time_millis_training 65532.76044499989 usercpu_time_millis_training 66332.02449100008 usercpu_time_millis_training 65416.801042999854 usercpu_time_millis_training 65716.75117599989 usercpu_time_millis_training 65268.05505499987 usercpu_time_millis_training 65682.98564999987 usercpu_time_millis_training 65328.34227500007 usercpu_time_millis_training 66044.21409499992 usercpu_time_millis_training 65827.92885100025 wall_clock_time_millis 72170.73965072632 wall_clock_time_millis 71292.22869873047 wall_clock_time_millis 72051.23901367188 wall_clock_time_millis 71151.686668396 wall_clock_time_millis 71453.33290100098 wall_clock_time_millis 71001.21736526489 wall_clock_time_millis 71445.50919532776 wall_clock_time_millis 71037.30177879333 wall_clock_time_millis 71747.52688407898 wall_clock_time_millis 71560.35876274109 wall_clock_time_millis_testing 5748.83508682251 wall_clock_time_millis_testing 5756.009340286255 wall_clock_time_millis_testing 5701.259136199951 wall_clock_time_millis_testing 5729.044198989868 wall_clock_time_millis_testing 5723.307371139526 wall_clock_time_millis_testing 5734.529256820679 wall_clock_time_millis_testing 5760.889530181885 wall_clock_time_millis_testing 5705.870628356934 wall_clock_time_millis_testing 5697.977542877197 wall_clock_time_millis_testing 5723.058223724365 wall_clock_time_millis_training 66421.90456390381 wall_clock_time_millis_training 65536.21935844421 wall_clock_time_millis_training 66349.97987747192 wall_clock_time_millis_training 65422.64246940613 wall_clock_time_millis_training 65730.02552986145 wall_clock_time_millis_training 65266.688108444214 wall_clock_time_millis_training 65684.61966514587 wall_clock_time_millis_training 65331.4311504364 wall_clock_time_millis_training 66049.54934120178 wall_clock_time_millis_training 65837.30053901672