10412658 1 Jan van Rijn 3481 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8250421 C 0.13596581269056157 16360 cache_size 200 16360 class_weight null 16360 coef0 0.0 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.395145144318553 16360 kernel "rbf" 16360 max_iter -1 16360 probability false 16360 random_state 64897 16360 shrinking false 16360 tol 0.0012282787010128315 16360 verbose false 16360 openml-python Sklearn_0.21.2. 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 21747109 description https://api.openml.org/data/download/21747109/description.xml -1 21747110 predictions https://api.openml.org/data/download/21747110/predictions.arff area_under_roc_curve 0.5078698145925037 [0.505,0.51,0.516667,0.506667,0.505,0.5,0.505,0.51,0.51,0.503333,0.506667,0.508333,0.5,0.508333,0.508333,0.506667,0.508333,0.513333,0.506667,0.51,0.50787,0.51,0.515,0.506667,0.511667,0.505] average_cost 0 kappa 0.015739629185007337 kb_relative_information_score 0.04221172963403008 mean_absolute_error 0.07279920284922935 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 0.05361036296011286 prior_entropy 4.700438279892712 recall 0.053610362960112866 [0.01,0.02,0.033333,0.013333,0.01,0,0.01,0.02,0.02,0.006667,0.013333,0.016667,0,0.016667,0.016667,0.013333,0.016667,0.026667,0.013333,0.02,1,0.02,0.03,0.013333,0.023333,0.01] relative_absolute_error 0.9842453006209867 root_mean_prior_squared_error 0.19230768465256318 root_mean_squared_error 0.2698132740419369 root_relative_squared_error 1.4030290808679897 total_cost 0 area_under_roc_curve 0.5093333333333333 [0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.533333,0.5,0.5,0.5,0.533333,0.5,0.5,0.5,0.516667,0.516667,0.533333,0.516667,0.5,0.509333,0.516667,0.55,0.5,0.5,0.5] area_under_roc_curve 0.5073333333333334 [0.5,0.5,0.533333,0.516667,0.5,0.5,0.533333,0.5,0.516667,0.5,0.5,0.5,0.5,0.516667,0.5,0.516667,0.5,0.5,0.5,0.5,0.507333,0.5,0.533333,0.5,0.516667,0.5] area_under_roc_curve 0.51 [0.516667,0.516667,0.516667,0.516667,0.5,0.5,0.5,0.5,0.516667,0.516667,0.516667,0.516667,0.5,0.5,0.516667,0.5,0.516667,0.516667,0.516667,0.5,0.51,0.516667,0.5,0.516667,0.516667,0.5] area_under_roc_curve 0.5073333333333334 [0.5,0.516667,0.533333,0.5,0.533333,0.5,0.516667,0.516667,0.516667,0.5,0.5,0.5,0.5,0.533333,0.5,0.5,0.5,0.516667,0.5,0.5,0.507333,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5086666666666666 [0.533333,0.516667,0.516667,0.516667,0.516667,0.5,0.5,0.5,0.533333,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.516667,0.516667,0.5,0.533333,0.508667,0.5,0.516667,0.5,0.5,0.5] area_under_roc_curve 0.5066666666666666 [0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.55,0.5,0.5,0.533333,0.5,0.5,0.506667,0.5,0.5,0.516667,0.5,0.533333] area_under_roc_curve 0.5033333333333334 [0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.503333,0.5,0.5,0.5,0.516667,0.5] area_under_roc_curve 0.5060080106809078 [0.5,0.516667,0.516667,0.5,0.5,0.5,0.5,0.516667,0.5,0.516667,0.516667,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.506008,0.533333,0.5,0.516667,0.5,0.5] area_under_roc_curve 0.5113484646194927 [0.5,0.5,0.55,0.5,0.5,0.5,0.5,0.516667,0.516667,0.5,0.5,0.533333,0.5,0.516667,0.516667,0.516667,0.533333,0.5,0.5,0.5,0.511348,0.516667,0.516667,0.5,0.55,0.5] area_under_roc_curve 0.5086782376502003 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.516667,0.516667,0.566667,0.508678,0.516667,0.533333,0.516667,0.516667,0.516667] 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 0.018666666666666665 kappa 0.014666666666666665 kappa 0.02 kappa 0.014666666666666665 kappa 0.01733333333333333 kappa 0.013333333333333329 kappa 0.0066666666666666645 kappa 0.012016021361815754 kappa 0.022696929238985312 kappa 0.01735647530040053 kb_relative_information_score 0.0450450093967655 kb_relative_information_score 0.04115299153952546 kb_relative_information_score 0.04634234868251216 kb_relative_information_score 0.041152991539525494 kb_relative_information_score 0.043747670111018856 kb_relative_information_score 0.03985565225377884 kb_relative_information_score 0.033368955825046356 kb_relative_information_score 0.038623261659960446 kb_relative_information_score 0.04901532323430315 kb_relative_information_score 0.043819291667477875 mean_absolute_error 0.0725838264299815 mean_absolute_error 0.07287968441814718 mean_absolute_error 0.07248520710059293 mean_absolute_error 0.07287968441814718 mean_absolute_error 0.07268244575937007 mean_absolute_error 0.07297830374753575 mean_absolute_error 0.07347140039447857 mean_absolute_error 0.07307198578058778 mean_absolute_error 0.07228201836674357 mean_absolute_error 0.07267700207366568 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 0.05641025641025641 predictive_accuracy 0.052564102564102565 predictive_accuracy 0.05769230769230769 predictive_accuracy 0.052564102564102565 predictive_accuracy 0.05512820512820513 predictive_accuracy 0.05128205128205129 predictive_accuracy 0.04487179487179487 predictive_accuracy 0.05006418485237484 predictive_accuracy 0.06033376123234916 predictive_accuracy 0.055198973042362 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 0.05641025641025641 [0,0,0,0.033333,0,0,0,0.066667,0,0,0,0.066667,0,0,0,0.033333,0.033333,0.066667,0.033333,0,1,0.033333,0.1,0,0,0] recall 0.052564102564102565 [0,0,0.066667,0.033333,0,0,0.066667,0,0.033333,0,0,0,0,0.033333,0,0.033333,0,0,0,0,1,0,0.066667,0,0.033333,0] recall 0.057692307692307696 [0.033333,0.033333,0.033333,0.033333,0,0,0,0,0.033333,0.033333,0.033333,0.033333,0,0,0.033333,0,0.033333,0.033333,0.033333,0,1,0.033333,0,0.033333,0.033333,0] recall 0.052564102564102565 [0,0.033333,0.066667,0,0.066667,0,0.033333,0.033333,0.033333,0,0,0,0,0.066667,0,0,0,0.033333,0,0,1,0,0,0,0,0] recall 0.05512820512820513 [0.066667,0.033333,0.033333,0.033333,0.033333,0,0,0,0.066667,0,0,0,0,0,0,0,0.033333,0.033333,0,0.066667,1,0,0.033333,0,0,0] recall 0.05128205128205128 [0,0.033333,0,0,0,0,0,0,0,0,0.033333,0,0,0,0.1,0,0,0.066667,0,0,1,0,0,0.033333,0,0.066667] recall 0.04487179487179487 [0,0.033333,0,0,0,0,0,0.033333,0,0,0.033333,0,0,0,0,0,0,0,0.033333,0,1,0,0,0,0.033333,0] recall 0.05006418485237484 [0,0.033333,0.033333,0,0,0,0,0.033333,0,0.033333,0.033333,0,0,0,0,0.033333,0,0,0,0,1,0.066667,0,0.033333,0,0] recall 0.06033376123234917 [0,0,0.1,0,0,0,0,0.033333,0.033333,0,0,0.066667,0,0.033333,0.033333,0.033333,0.066667,0,0,0,1,0.033333,0.033333,0,0.1,0] recall 0.055198973042362 [0,0,0,0,0,0,0,0,0,0,0,0,0,0.033333,0,0,0,0.033333,0.033333,0.133333,1,0.033333,0.066667,0.033333,0.033333,0.033333] relative_absolute_error 0.9813333333333439 relative_absolute_error 0.9853333333333439 relative_absolute_error 0.9800000000000105 relative_absolute_error 0.9853333333333439 relative_absolute_error 0.9826666666666773 relative_absolute_error 0.9866666666666773 relative_absolute_error 0.9933333333333443 relative_absolute_error 0.9879333968971699 relative_absolute_error 0.9772532026241602 relative_absolute_error 0.9825933840592651 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 0.2694138571602832 root_mean_squared_error 0.2699623759306974 root_mean_squared_error 0.2692307692307715 root_mean_squared_error 0.2699623759306974 root_mean_squared_error 0.26959682075159946 root_mean_squared_error 0.2701449680218674 root_mean_squared_error 0.2710560834854635 root_mean_squared_error 0.27031830456073036 root_mean_squared_error 0.2688531539088645 root_mean_squared_error 0.2695867245872201 root_relative_squared_error 1.4009520018357489 root_relative_squared_error 1.4038042993291144 root_relative_squared_error 1.3999999446399352 root_relative_squared_error 1.4038042993291144 root_relative_squared_error 1.4019034124729717 root_relative_squared_error 1.4047537781656532 root_relative_squared_error 1.4094915783890067 root_relative_squared_error 1.4056553403372316 root_relative_squared_error 1.3980367946826107 root_relative_squared_error 1.4018513632860685 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 95478.27287400013 usercpu_time_millis 95546.63019899999 usercpu_time_millis 95587.022918 usercpu_time_millis 95743.36198899982 usercpu_time_millis 95748.24363300012 usercpu_time_millis 95762.44235499963 usercpu_time_millis 95738.3842420004 usercpu_time_millis 95734.38374200033 usercpu_time_millis 95722.62952399887 usercpu_time_millis 95679.38207000133 usercpu_time_millis_testing 5473.845514999994 usercpu_time_millis_testing 5511.958580000282 usercpu_time_millis_testing 5522.3589739998715 usercpu_time_millis_testing 5529.622772000039 usercpu_time_millis_testing 5543.421829999716 usercpu_time_millis_testing 5536.784334999538 usercpu_time_millis_testing 5522.249325000303 usercpu_time_millis_testing 5530.011476999789 usercpu_time_millis_testing 5525.157714999295 usercpu_time_millis_testing 5527.92138300083 usercpu_time_millis_training 90004.42735900014 usercpu_time_millis_training 90034.67161899971 usercpu_time_millis_training 90064.66394400013 usercpu_time_millis_training 90213.73921699979 usercpu_time_millis_training 90204.8218030004 usercpu_time_millis_training 90225.65802000009 usercpu_time_millis_training 90216.13491700009 usercpu_time_millis_training 90204.37226500054 usercpu_time_millis_training 90197.47180899957 usercpu_time_millis_training 90151.46068700051 wall_clock_time_millis 95481.01425170898 wall_clock_time_millis 95549.75748062134 wall_clock_time_millis 95589.93577957153 wall_clock_time_millis 95746.09684944153 wall_clock_time_millis 95750.97846984863 wall_clock_time_millis 95765.19465446472 wall_clock_time_millis 95741.0581111908 wall_clock_time_millis 95737.08772659302 wall_clock_time_millis 95725.29649734497 wall_clock_time_millis 95682.10792541504 wall_clock_time_millis_testing 5474.033832550049 wall_clock_time_millis_testing 5512.149810791016 wall_clock_time_millis_testing 5522.57513999939 wall_clock_time_millis_testing 5529.827833175659 wall_clock_time_millis_testing 5543.627500534058 wall_clock_time_millis_testing 5536.983966827393 wall_clock_time_millis_testing 5522.408723831177 wall_clock_time_millis_testing 5530.200242996216 wall_clock_time_millis_testing 5525.316476821899 wall_clock_time_millis_testing 5528.099775314331 wall_clock_time_millis_training 90006.98041915894 wall_clock_time_millis_training 90037.60766983032 wall_clock_time_millis_training 90067.36063957214 wall_clock_time_millis_training 90216.26901626587 wall_clock_time_millis_training 90207.35096931458 wall_clock_time_millis_training 90228.21068763733 wall_clock_time_millis_training 90218.64938735962 wall_clock_time_millis_training 90206.8874835968 wall_clock_time_millis_training 90199.98002052307 wall_clock_time_millis_training 90154.00815010071