283524 2 Joaquin Vanschoren 4186 Supervised Classification predictive_accuracy 1194 weka.RandomSubSpace_REPTree(4) 2053 weka.classifiers.meta.RandomSubSpace -- -P 0.5 -S 1 -num-slots 1 -I 20 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 M 2 1077 V 0.001 1077 N 3 1077 S 1 1077 L -1 1077 I 0.0 1077 P 0.5 1194 S 1 1194 num-slots 1 1194 I 20 1194 W weka.classifiers.trees.REPTree 1194 weka weka_3.7.12 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 953457 description https://api.openml.org/data/download/953457/weka_generated_run3593702161509173274.xml -1 953460 model_readable https://api.openml.org/data/download/953460/WekaModel_weka.classifiers.meta.RandomSubSpace3384603341510974759.model -1 953459 model_serialized https://api.openml.org/data/download/953459/WekaSerialized_weka.classifiers.meta.RandomSubSpace4090090925270912348.model -1 953458 predictions https://api.openml.org/data/download/953458/weka_generated_predictions5685558865909724981.arff area_under_roc_curve 0.9968 [0.996087,0.994168,0.999733,0.994745,0.994108,0.997662,0.992292,0.999014,0.998631,0.997216,0.996414,0.999415,0.996508,0.994408,0.999576,0.989169,0.998591,0.999876,0.9985,0.995477,0.998425,0.992915,0.998183,0.999849,0.999904,0.995931] average_cost 0 f_measure 0.915117 [0.911158,0.851678,0.960588,0.875663,0.836641,0.9201,0.89061,0.963594,0.952694,0.894703,0.890906,0.95943,0.874871,0.86936,0.968414,0.844363,0.929638,0.970593,0.950542,0.886633,0.934722,0.845303,0.936185,0.969116,0.982308,0.92313] kappa 0.911713 kb_relative_information_score 68268.330801 mean_absolute_error 0.020466 mean_prior_absolute_error 0.073964 number_of_instances 77970 [3000,3000,3000,3000,3000,2980,3000,3000,3000,3000,3000,3000,2990,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.915511 [0.888502,0.828968,0.962517,0.871042,0.851813,0.91476,0.880456,0.965529,0.939119,0.87286,0.89861,0.953274,0.899929,0.878231,0.976287,0.848771,0.925644,0.967539,0.966253,0.900344,0.926909,0.837422,0.9459,0.960393,0.993186,0.948962] predictive_accuracy 0.915108 prior_entropy 4.700438 recall 0.915108 [0.935,0.875667,0.958667,0.880333,0.822,0.925503,0.901,0.961667,0.966667,0.917667,0.883333,0.965667,0.851171,0.860667,0.960667,0.84,0.933667,0.973667,0.935333,0.873333,0.942667,0.853333,0.926667,0.978,0.971667,0.898667] relative_absolute_error 0.276694 root_mean_prior_squared_error 0.192308 root_mean_squared_error 0.080926 root_relative_squared_error 0.420815 scimark_benchmark 1333.875095 [801.5811329083317, 1008.0852896014862, 542.9794410685319, 1111.7217792496772, 3205.007831901096] total_cost 0 usercpu_time_millis 60520 usercpu_time_millis_testing 310 usercpu_time_millis_training 60210 area_under_roc_curve 0.996069 [0.985089,0.995556,0.999467,0.993822,0.986311,0.999956,0.998444,0.999733,0.999911,0.998311,0.991867,1,0.995067,0.985422,0.997733,0.989644,0.9984,0.999733,1,0.994044,0.9948,0.995822,0.999689,0.9996,0.999733,0.999644] area_under_roc_curve 0.997617 [0.994978,0.9944,1,0.997244,0.994,0.997111,0.998978,0.999022,0.999733,0.997511,0.9964,0.999511,0.9972,0.995289,0.999378,0.992489,0.999467,0.999867,0.999644,0.992711,0.9988,0.996533,0.999333,0.999689,0.999689,0.999067] area_under_roc_curve 0.996241 [0.998222,0.9936,0.999956,0.997067,0.998444,0.999956,0.995733,1,0.999644,0.9976,0.989689,0.999733,0.991422,0.989689,0.999689,0.977422,0.998489,0.999956,0.999867,0.987156,0.997822,0.996044,0.999067,1,0.999244,0.996756] area_under_roc_curve 0.996768 [0.999422,0.993733,0.999778,0.996444,0.998622,0.997733,0.998933,1,0.998978,0.998222,0.997111,0.999911,0.999244,0.986267,0.999867,0.978844,0.998222,0.999778,0.999511,0.997156,0.996267,0.983733,0.998844,1,0.9996,0.999733] area_under_roc_curve 0.997728 [0.9948,0.992578,0.999822,0.997778,0.991244,0.996711,0.990933,0.9996,1,0.998222,0.9992,0.999822,0.998889,0.993244,1,0.993733,0.999911,1,0.999644,0.998978,0.999822,0.997956,0.9996,0.999511,0.999778,0.999156] area_under_roc_curve 0.998053 [0.997556,0.996933,0.999911,0.991778,0.998533,0.997378,0.999022,1,0.9988,0.9996,0.994533,0.999956,0.997422,0.996578,0.999956,0.997556,0.999156,0.999956,0.998622,0.999022,0.9996,0.995467,0.999689,1,0.999111,0.993244] area_under_roc_curve 0.996827 [0.998711,0.992978,0.999778,0.998222,0.986089,0.996667,0.997111,0.998267,0.999911,0.995822,0.998533,0.998,0.996089,0.994,0.999244,0.982578,0.997467,0.999956,0.999067,0.998844,0.996,0.996933,0.999556,0.999733,1,0.997956] area_under_roc_curve 0.997709 [0.996933,0.971644,0.999956,0.999156,0.997244,0.999556,0.996756,1,0.999956,0.999822,0.996444,0.999956,0.998711,0.997511,1,0.994044,0.998178,0.999956,0.999689,0.999156,0.9996,0.999511,0.999867,1,1,0.9968] area_under_roc_curve 0.996552 [0.995333,0.994978,0.999778,0.998311,0.995911,0.996444,0.998844,0.999378,0.996978,0.9936,0.993378,0.999378,0.993511,0.996889,0.999422,0.9796,0.999289,1,0.998933,0.987378,1,0.994089,0.9992,0.999822,1,0.999911] area_under_roc_curve 0.997617 [0.999644,0.998267,0.999733,0.991644,0.998933,0.998533,0.996489,0.999689,0.999956,0.998978,0.994756,0.9996,0.9984,0.993289,0.999467,0.989556,0.998978,1,0.997644,0.995289,0.999111,0.9904,0.999689,1,1,1] area_under_roc_curve 0.996222 [0.996222,0.996844,1,0.992311,0.995422,0.999511,0.999289,0.999778,0.999244,0.998578,0.997689,1,0.997289,0.995511,1,0.956978,0.999556,0.999867,0.999778,0.9968,0.999333,0.983111,0.999333,1,1,0.999333] area_under_roc_curve 0.99766 [0.997867,0.998044,0.999867,0.999378,0.9972,0.998933,0.997956,0.999956,0.999822,0.990044,0.9936,0.999822,0.995956,0.996133,0.999867,0.994533,0.999067,1,0.999822,0.999289,0.9988,0.985911,0.997467,1,0.999956,0.999867] area_under_roc_curve 0.996855 [0.992267,0.995689,0.999911,0.997111,0.997289,0.999733,0.995911,0.998756,0.987822,0.999867,0.999689,0.999733,0.998044,0.995733,0.998311,0.993067,0.999689,0.999244,0.999778,0.9936,0.998933,0.9908,0.994533,0.999067,1,0.993644] area_under_roc_curve 0.997511 [0.997822,0.995867,0.999867,0.996178,0.9984,0.993022,0.9936,0.999556,0.999867,0.998711,0.997244,0.999911,0.998222,0.992356,1,0.998489,1,0.999911,0.999244,0.991911,0.999022,0.989022,0.998267,0.999911,1,0.998889] area_under_roc_curve 0.995702 [0.997956,0.998178,0.999822,0.992,0.9972,0.998444,0.973089,0.999911,0.992044,0.995911,0.999511,0.999422,0.999067,0.998222,0.999244,0.9816,0.997956,0.999911,0.999644,0.989644,0.999822,0.997733,0.994978,1,1,0.986933] area_under_roc_curve 0.996451 [0.995733,0.996622,0.999333,0.996978,0.997867,0.993956,0.997467,0.997733,0.991689,0.998133,0.996933,0.995911,0.994578,0.9836,0.999867,0.989111,0.998756,0.999689,0.999422,0.992178,0.998622,0.994844,0.999156,1,1,0.999556] area_under_roc_curve 0.997812 [0.999289,0.994222,0.999689,0.997556,0.989867,0.998978,0.999867,0.999956,0.999644,0.998933,0.999556,0.999911,0.9988,0.997867,0.999689,0.992133,0.999422,0.999911,0.999467,0.999067,0.999778,0.991067,0.999467,1,0.999733,0.989244] area_under_roc_curve 0.998029 [0.9988,0.994578,1,0.993911,0.997422,0.999111,0.998933,0.998933,0.997422,0.999822,0.994978,0.999867,0.996222,0.998267,0.999822,0.9964,1,0.999689,0.999822,0.995333,0.999333,0.997378,0.996044,0.999956,1,0.996711] area_under_roc_curve 0.996528 [0.9976,0.992578,0.999733,0.995689,0.981733,0.999378,0.988267,0.999867,1,0.998622,0.997956,0.999733,0.995778,0.995911,1,0.986044,0.998356,1,0.999778,0.998578,0.997333,0.987467,0.999822,0.999956,1,0.999556] area_under_roc_curve 0.997221 [0.984756,0.993822,1,0.998711,0.997822,0.999689,0.999156,0.999689,0.999867,0.9932,0.996978,0.999511,0.998356,0.998044,0.999822,0.988356,0.997822,0.999911,0.999956,0.997778,0.995467,0.993289,1,0.999644,1,0.996089] area_under_roc_curve 0.997226 [0.998889,0.996133,0.999422,0.986978,0.999156,0.997111,0.994622,0.997156,0.998222,0.998489,0.999111,0.998889,0.997956,0.9984,0.999956,0.997867,0.999378,0.999778,0.998844,0.997778,0.989556,0.995422,0.997867,0.999867,0.999867,0.991156] area_under_roc_curve 0.998215 [0.9976,0.9988,0.999911,0.998578,0.998089,0.997644,0.997022,0.999244,0.999956,0.999289,0.999556,0.999333,0.998533,0.996178,0.999111,0.997156,0.999778,0.999822,0.999022,0.995689,0.992622,0.994089,0.998578,1,1,0.998] area_under_roc_curve 0.997426 [0.996756,0.993467,1,0.997956,0.993289,0.996,0.994356,0.995778,0.999822,0.9984,0.998133,0.999111,0.998622,0.995022,1,0.996089,0.999511,0.999911,0.9984,0.998667,0.995067,0.990133,0.998889,0.999911,0.999867,0.999911] area_under_roc_curve 0.996713 [0.995422,0.994578,0.999956,0.991689,0.982267,0.999067,0.992267,0.999956,0.999956,0.992756,0.997156,0.999778,0.998,0.997244,0.999289,0.994844,0.999333,0.999911,1,0.996089,0.998267,0.9972,1,0.999778,1,0.989733] area_under_roc_curve 0.996838 [0.9948,0.992889,0.999689,0.997022,0.993378,0.996489,0.997289,0.999556,0.999333,0.999867,0.999289,1,0.994933,0.988489,1,0.993911,0.999822,0.999867,0.999422,0.988667,1,0.989956,0.999067,1,1,0.994044] area_under_roc_curve 0.99643 [0.998622,0.997156,0.999689,0.996756,0.997733,0.997156,0.998667,0.9996,0.999911,0.999511,0.997689,1,0.991822,0.993467,1,0.958556,0.998711,1,0.998933,0.989422,0.999689,0.995467,0.999556,0.999867,1,0.9992] area_under_roc_curve 0.996545 [0.994267,0.989867,0.999689,0.992756,0.991822,0.9984,0.992533,0.999956,0.999867,0.999644,0.998533,0.999733,0.9988,0.995333,0.997111,0.975689,0.999778,1,0.998933,0.996222,0.999467,0.993333,0.998756,0.999911,1,0.999778] area_under_roc_curve 0.995491 [0.996622,0.999244,1,0.979089,0.989689,0.994667,0.967533,0.999733,0.999867,0.999156,0.998267,0.999111,0.997333,0.992933,1,0.986578,0.999378,0.999867,0.999689,0.997422,0.988667,0.998222,0.999867,0.999822,1,1] area_under_roc_curve 0.997853 [0.997911,0.998267,0.999556,0.992844,0.999067,0.999822,0.994311,0.999867,0.999556,0.999111,0.999867,1,0.995644,0.988711,0.998978,0.998089,0.998222,0.999733,0.997911,0.994578,0.998489,0.996622,0.998889,0.999956,1,0.998178] area_under_roc_curve 0.998308 [0.999067,0.999022,0.999733,0.997289,0.999156,0.989333,0.9984,0.998622,0.999733,0.997111,0.999689,0.998222,0.998267,0.993244,0.999822,0.998667,0.996622,1,0.999556,0.997778,0.999156,0.998356,1,0.999911,1,0.999244] area_under_roc_curve 0.996997 [0.984889,0.997022,0.9996,0.996933,0.997911,0.997467,0.999422,1,0.999778,0.999244,0.9992,0.998844,0.997556,0.994844,0.999778,0.983156,1,0.999822,0.9996,0.997956,0.999911,0.980578,0.998978,0.999822,0.999911,0.999689] area_under_roc_curve 0.996812 [0.998267,0.987289,0.999911,0.993289,0.990222,0.999956,0.994489,0.999956,0.999067,0.998267,0.995733,0.999467,0.998044,0.994044,0.999911,0.989778,0.999822,0.999867,1,0.9964,0.999289,0.987111,0.997511,1,0.999778,0.999644] area_under_roc_curve 0.996416 [0.988311,0.976244,0.999822,0.997956,0.995956,0.999333,0.998044,0.999289,0.999778,0.9896,0.996089,1,0.994578,0.997956,0.999867,0.983867,0.999378,1,1,0.997822,0.999733,0.995556,0.999556,0.999067,1,0.999022] area_under_roc_curve 0.998479 [0.996089,0.999333,0.999644,0.998489,0.995911,0.999911,0.997511,0.999822,0.999822,0.999378,1,0.998222,0.995689,0.996711,1,0.995111,0.999911,0.999867,1,0.9968,0.999556,0.995467,0.999244,1,0.999867,0.998089] area_under_roc_curve 0.996315 [0.988222,0.995378,1,0.987956,0.9992,0.9988,0.975556,0.999956,1,0.999644,0.999556,0.999911,0.997956,0.9888,0.999911,0.9992,0.999333,1,0.999778,0.998578,0.988267,0.989244,0.999111,1,1,0.999822] area_under_roc_curve 0.996175 [0.990222,0.983022,0.999556,0.997156,0.994044,0.998356,0.997289,0.999911,0.999644,0.993733,0.995689,0.998889,0.997689,0.997044,0.997956,0.996889,0.999822,0.999556,0.9996,0.996178,0.999511,0.974933,0.998844,0.999733,0.999911,0.995378] area_under_roc_curve 0.997285 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[0.990654,0.999199,0.999911,0.980908,0.996796,0.991609,0.997196,0.999955,0.999955,0.999733,0.997374,0.999955,0.998042,0.995105,0.999866,0.993814,0.99911,1,0.999043,0.992924,0.998976,0.996351,0.999466,0.999955,1,0.999644] area_under_roc_curve 0.997386 [0.995594,0.992924,0.999911,0.989853,0.995817,0.998897,0.999466,0.999599,0.999866,0.99911,0.995238,0.999777,0.993814,0.992568,0.997508,0.997508,0.999822,0.999644,0.998754,0.991945,0.998798,0.996351,0.999777,1,1,0.999555] area_under_roc_curve 0.997997 [0.99773,0.998576,1,0.998398,0.997641,0.996506,0.995505,0.999866,0.999866,0.99911,0.99911,0.999866,0.995505,0.995728,1,0.982109,0.999866,1,0.999555,0.998798,0.999688,0.997107,0.999911,1,0.999599,0.997819] area_under_roc_curve 0.996542 [0.997018,0.999688,0.999288,0.997463,0.996974,0.997379,0.948954,1,0.999866,0.998487,0.997285,0.999955,0.995194,0.994215,1,0.995594,0.998798,0.999955,0.999955,0.998709,0.999599,0.997953,0.999332,0.999866,1,0.998576] area_under_roc_curve 0.9977 [0.999777,0.992879,1,0.998264,0.991277,0.998887,0.997953,0.999866,0.999822,0.999154,1,0.999777,0.992966,0.990788,0.999822,0.992746,0.999421,1,0.999911,0.999911,0.999154,0.99862,0.999199,0.999866,0.999955,0.990031] area_under_roc_curve 0.996362 [0.998843,0.999466,0.99951,0.997641,0.991767,0.998851,0.974878,0.998798,0.990832,0.997953,0.995149,0.999866,0.998798,0.994793,0.999777,0.98972,0.999644,0.999911,0.999599,0.986738,0.999911,0.994704,0.999555,1,0.999911,0.998887] area_under_roc_curve 0.996939 [0.998932,0.999332,0.999243,0.998798,0.988385,0.997285,0.998709,0.998754,0.999154,0.99862,0.997552,0.999421,0.996736,0.990254,0.999822,0.994927,0.999866,0.999911,0.997463,0.993235,0.999199,0.98024,0.99822,0.999911,1,0.99644] area_under_roc_curve 0.997224 [0.998487,0.990521,1,0.993903,0.992657,0.999332,0.996217,0.999199,0.999822,0.990654,0.998042,0.999421,0.997609,0.995505,0.999421,0.9919,0.999199,0.999733,1,0.989364,0.999332,0.998487,0.99951,0.999688,0.999955,0.999866] area_under_roc_curve 0.997344 [0.988919,0.996885,0.999644,0.996084,0.993102,0.999777,0.998843,1,0.999955,0.995594,0.994215,0.998398,0.99692,0.98785,1,0.996262,0.999955,0.999822,0.997575,0.994348,0.999599,0.997552,0.999911,1,0.999866,0.999866] area_under_roc_curve 0.996818 [0.99644,0.997953,1,0.993903,0.997552,0.992529,0.991811,0.999644,0.999199,0.991411,0.995283,0.999955,0.995817,0.993057,0.998531,0.997864,0.986515,0.999822,0.998821,0.997508,0.999866,0.996751,0.999555,1,1,0.99733] area_under_roc_curve 0.997424 [0.998042,0.991188,0.999955,0.999911,0.995372,0.994989,0.996262,0.99951,0.999777,0.998843,0.992746,0.995728,0.996529,0.994526,0.999911,0.989898,1,0.999777,0.999822,0.99684,0.999955,0.994393,0.999644,0.999688,1,0.999644] area_under_roc_curve 0.996356 [0.998487,0.995416,0.999332,0.993235,0.996039,0.993146,0.998309,0.999866,0.991589,0.997285,0.993725,0.997152,0.997747,0.992701,0.999466,0.992256,0.999866,0.999866,0.999822,0.995283,0.999021,0.994393,0.999377,0.999733,0.99951,0.982688] 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 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 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 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 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 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 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 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 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 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 0.900461 [0.875,0.8,0.915254,0.818182,0.819672,0.931034,0.847458,0.966667,0.966667,0.933333,0.9,1,0.847458,0.813559,0.983051,0.857143,0.928571,0.95082,0.967742,0.819672,0.933333,0.806452,0.896552,0.95082,0.965517,0.918033] f_measure 0.90682 [0.888889,0.819672,1,0.852459,0.793651,0.877193,0.875,0.983051,0.95082,0.870968,0.836364,0.915254,0.915254,0.933333,0.915254,0.862069,0.896552,0.983607,0.965517,0.877193,0.865672,0.9,0.947368,0.9375,0.965517,0.949153] f_measure 0.912627 [0.949153,0.852459,0.95082,0.933333,0.862069,1,0.862069,1,0.967742,0.892308,0.881356,0.965517,0.842105,0.885246,0.95082,0.8125,0.852459,0.949153,1,0.862069,0.877193,0.793103,0.903226,0.983607,0.966667,0.933333] f_measure 0.914848 [0.983607,0.842105,0.966667,0.95082,0.90625,0.918033,0.920635,1,0.896552,0.852941,0.862069,0.983607,0.952381,0.851852,0.983051,0.813559,0.866667,0.935484,0.949153,0.872727,0.833333,0.813559,0.95082,1,0.931034,0.949153] f_measure 0.916592 [0.935484,0.821429,0.949153,0.915254,0.852459,0.866667,0.825397,0.966667,1,0.933333,0.933333,0.949153,0.888889,0.857143,0.983607,0.819672,0.966667,1,0.931034,0.9,0.95082,0.833333,0.95082,0.918033,0.983051,0.9] f_measure 0.927156 [0.933333,0.847458,0.952381,0.857143,0.912281,0.920635,0.885246,0.983051,0.881356,0.9375,0.877193,0.983051,0.95082,0.931034,0.966667,0.833333,0.965517,0.983607,0.947368,0.915254,0.966667,0.852941,0.966667,1,0.966667,0.888889] f_measure 0.904372 [0.9375,0.833333,0.952381,0.870968,0.792453,0.912281,0.870968,0.95082,0.933333,0.866667,0.852459,0.966667,0.9,0.862069,0.933333,0.819672,0.9,0.966667,0.95082,0.912281,0.896552,0.903226,0.915254,0.9375,0.983607,0.892857] f_measure 0.921847 [0.931034,0.819672,0.983607,0.896552,0.852459,0.933333,0.857143,1,0.949153,0.878788,0.935484,0.983607,0.931034,0.903226,0.966667,0.786885,0.847458,0.967742,0.935484,0.888889,0.931034,0.857143,0.983051,0.983051,1,0.965517] f_measure 0.909326 [0.915254,0.819672,0.966667,0.892308,0.852459,0.83871,0.818182,0.912281,0.966667,0.877193,0.896552,0.949153,0.896552,0.915254,0.949153,0.881356,0.915254,1,0.896552,0.827586,0.967742,0.852459,0.933333,0.935484,1,0.966667] f_measure 0.921761 [0.983051,0.878788,0.983051,0.862069,0.892308,0.903226,0.827586,0.95082,1,0.90625,0.872727,0.933333,0.892857,0.9,0.95082,0.8,0.903226,1,0.915254,0.852459,0.915254,0.877193,0.965517,1,1,1] f_measure 0.914215 [0.861538,0.847458,0.983607,0.866667,0.823529,0.935484,0.892308,0.983051,0.918033,0.865672,0.872727,1,0.866667,0.862069,0.983607,0.792453,0.931034,0.949153,0.931034,0.912281,0.933333,0.877193,0.983607,0.983051,0.966667,0.947368] f_measure 0.920236 [0.847458,0.920635,0.966667,0.933333,0.877193,0.933333,0.881356,0.983051,0.952381,0.870968,0.821429,0.966667,0.888889,0.8,1,0.847458,0.95082,0.965517,0.966667,0.881356,0.935484,0.819672,0.949153,1,0.983051,0.983607] f_measure 0.911096 [0.9,0.84375,0.967742,0.870968,0.842105,0.952381,0.885246,0.949153,0.918033,0.967742,0.95082,0.95082,0.892857,0.885246,0.933333,0.821429,0.983607,0.915254,0.965517,0.847458,0.935484,0.786885,0.949153,0.933333,0.983051,0.857143] f_measure 0.917731 [0.870968,0.885246,0.983051,0.833333,0.842105,0.931034,0.857143,0.918033,0.983607,0.9,0.833333,0.935484,0.915254,0.872727,0.983051,0.9,0.952381,0.966667,0.95082,0.881356,0.95082,0.918033,0.933333,0.966667,1,0.896552] f_measure 0.908742 [0.885246,0.83871,0.935484,0.861538,0.862069,0.892857,0.881356,0.952381,0.918033,0.896552,0.933333,0.896552,0.881356,0.920635,0.903226,0.847458,0.896552,0.949153,0.95082,0.872727,0.952381,0.866667,0.949153,0.966667,0.983051,0.933333] f_measure 0.911424 [0.881356,0.875,0.933333,0.888889,0.888889,0.896552,0.918033,0.878788,0.949153,0.90625,0.928571,0.95082,0.814815,0.852459,0.965517,0.842105,0.918033,0.966667,0.966667,0.877193,0.875,0.875,0.949153,0.967742,1,0.931034] f_measure 0.925712 [0.95082,0.847458,0.915254,0.920635,0.774194,0.949153,0.983607,0.983051,0.933333,0.892308,0.892857,0.95082,0.842105,0.870968,0.983051,0.813559,0.967742,0.967742,0.983051,0.983051,0.965517,0.866667,0.983051,0.967742,0.965517,0.915254] f_measure 0.923346 [0.918033,0.8125,0.983051,0.857143,0.825397,0.949153,0.918033,0.983051,0.885246,0.967742,0.912281,0.983051,0.912281,0.920635,0.967742,0.847458,0.983051,0.931034,0.95082,0.885246,0.95082,0.9,0.896552,0.966667,1,0.9] f_measure 0.920351 [0.952381,0.766667,0.933333,0.807018,0.8,0.933333,0.918033,0.983051,0.983051,0.933333,0.918033,0.966667,0.95082,0.965517,0.983051,0.836364,0.90625,0.983607,0.949153,0.909091,0.881356,0.8125,0.983607,0.983607,0.983051,0.90625] f_measure 0.928058 [0.877193,0.835821,0.983607,0.933333,0.862069,0.983607,0.933333,0.965517,0.966667,0.903226,0.933333,0.915254,0.933333,0.912281,0.95082,0.827586,0.935484,0.967742,0.983051,0.95082,0.947368,0.825397,0.983607,0.983607,0.983607,0.851852] f_measure 0.918072 [0.90625,0.857143,0.935484,0.827586,0.9,0.933333,0.870968,0.983051,0.935484,0.920635,0.949153,0.949153,0.933333,0.912281,0.983607,0.833333,0.931034,0.931034,0.915254,0.9,0.918033,0.848485,0.9,0.966667,1,0.928571] f_measure 0.921555 [0.9,0.881356,0.983607,0.892308,0.862069,0.935484,0.885246,0.935484,0.967742,0.918033,0.95082,0.966667,0.827586,0.852459,0.983051,0.866667,0.95082,0.966667,0.931034,0.851852,0.947368,0.83871,0.947368,1,1,0.918033] f_measure 0.911524 [0.885246,0.818182,1,0.896552,0.793103,0.847458,0.857143,0.949153,0.966667,0.903226,0.885246,0.95082,0.866667,0.862069,0.983051,0.885246,0.903226,0.966667,0.896552,0.918033,0.95082,0.881356,0.931034,0.952381,0.966667,0.983051] f_measure 0.907636 [0.903226,0.885246,0.967742,0.885246,0.711864,0.909091,0.84375,0.966667,0.952381,0.852459,0.947368,0.95082,0.881356,0.888889,0.949153,0.830189,0.903226,0.983607,0.967742,0.847458,0.931034,0.8125,0.966667,0.965517,0.983051,0.912281] f_measure 0.919556 [0.933333,0.761905,0.95082,0.847458,0.733333,0.915254,0.918033,0.966667,0.933333,0.967742,0.903226,1,0.896552,0.9,0.983051,0.870968,0.947368,0.983607,0.966667,0.847458,1,0.83871,0.95082,1,0.983051,0.909091] f_measure 0.918473 [0.935484,0.823529,0.95082,0.896552,0.885246,0.862069,0.965517,0.965517,0.952381,0.952381,0.903226,1,0.846154,0.903226,1,0.754717,0.931034,0.965517,0.918033,0.866667,0.952381,0.833333,0.920635,0.983607,1,0.912281] f_measure 0.904581 [0.852459,0.833333,0.95082,0.872727,0.8,0.935484,0.892857,0.966667,0.983607,0.966667,0.90625,0.952381,0.852459,0.866667,0.965517,0.741935,0.949153,1,0.947368,0.821429,0.923077,0.77193,0.862069,0.983607,1,0.920635] f_measure 0.918209 [0.881356,0.918033,1,0.852459,0.892857,0.903226,0.774194,0.967742,0.95082,0.888889,0.912281,0.933333,0.918033,0.870968,0.983607,0.806452,0.952381,0.949153,0.947368,0.862069,0.928571,0.847458,0.965517,0.966667,1,1] f_measure 0.91282 [0.9,0.885246,0.912281,0.892857,0.931034,0.95082,0.852459,0.95082,0.965517,0.875,0.965517,0.983607,0.784314,0.830769,0.983051,0.903226,0.915254,0.952381,0.933333,0.806452,0.903226,0.83871,0.949153,0.983051,1,0.885246] f_measure 0.927022 [0.875,0.966667,0.95082,0.915254,0.933333,0.918033,0.9,0.931034,0.966667,0.885246,0.966667,0.931034,0.888889,0.830189,0.966667,0.935484,0.9,0.967742,0.931034,0.931034,0.888889,0.861538,0.983051,0.983051,0.966667,0.928571] f_measure 0.908769 [0.918033,0.8,0.933333,0.933333,0.813559,0.847458,0.869565,0.983051,0.983051,0.933333,0.920635,0.933333,0.866667,0.77193,0.966667,0.877193,0.966667,0.983607,0.931034,0.830189,0.983607,0.813559,0.931034,0.923077,0.983051,0.931034] f_measure 0.904754 [0.865672,0.746269,0.983607,0.814815,0.714286,0.966667,0.857143,0.952381,0.949153,0.9,0.842105,0.966667,0.866667,0.836364,0.983051,0.807018,0.95082,0.983607,0.983607,0.857143,0.966667,0.9,0.949153,0.983051,0.966667,0.931034] f_measure 0.911114 [0.903226,0.885246,0.949153,0.827586,0.819672,0.947368,0.9,0.949153,0.9375,0.833333,0.836364,0.952381,0.836364,0.875,0.983051,0.862069,0.95082,0.966667,1,0.918033,0.892308,0.870968,0.909091,0.933333,0.983607,0.966667] f_measure 0.924732 [0.912281,0.933333,0.947368,0.892857,0.835821,0.949153,0.903226,0.983607,0.966667,0.9375,0.983051,0.931034,0.877193,0.857143,0.983051,0.819672,0.965517,0.983607,0.983607,0.931034,0.920635,0.8,0.933333,0.983607,0.966667,0.862069] f_measure 0.944729 [0.933333,0.903226,1,0.931034,0.933333,0.983051,0.885246,0.983051,1,0.935484,0.933333,0.983051,0.885246,0.842105,0.983607,0.933333,0.965517,0.983607,0.983607,0.915254,0.9,0.847458,0.983607,1,1,0.935484] f_measure 0.900336 [0.912281,0.761905,0.949153,0.83871,0.736842,0.90625,0.852459,0.966667,0.967742,0.881356,0.852459,0.918033,0.912281,0.885246,0.949153,0.857143,0.95082,0.966667,0.896552,0.852459,0.903226,0.862069,0.933333,0.947368,0.983051,0.965517] f_measure 0.905184 [0.983607,0.857143,0.933333,0.827586,0.9,0.877193,0.818182,0.965517,0.95082,0.825397,0.821429,0.983051,0.862069,0.847458,1,0.9,0.935484,0.949153,0.920635,0.827586,0.888889,0.866667,0.931034,0.983607,0.966667,0.912281] f_measure 0.906583 [0.870968,0.786885,0.966667,0.885246,0.779661,0.9,0.933333,0.949153,0.983607,0.896552,0.918033,0.935484,0.842105,0.827586,0.95082,0.862069,0.903226,1,0.918033,0.918033,0.935484,0.78125,0.931034,0.983051,0.965517,0.947368] f_measure 0.922218 [0.912281,0.915254,0.928571,0.888889,0.827586,0.90625,0.888889,0.983051,0.920635,0.83871,0.931034,1,0.9,0.949153,0.983051,0.870968,0.9375,0.952381,0.947368,0.933333,0.931034,0.870968,0.928571,0.966667,0.965517,0.9] f_measure 0.905335 [0.949153,0.83871,0.966667,0.813559,0.724138,0.947368,0.852459,0.983051,0.952381,0.852459,0.857143,0.9375,0.842105,0.862069,0.912281,0.806452,0.84375,0.983051,0.983607,0.931034,0.912281,0.90625,0.983051,0.95082,1,0.947368] f_measure 0.901838 [0.935484,0.84375,0.931034,0.903226,0.716981,0.885246,0.966667,0.965517,0.983607,0.918033,0.83871,1,0.745763,0.8125,1,0.866667,0.935484,1,0.892857,0.875,0.918033,0.833333,0.830189,0.966667,0.983051,0.9] f_measure 0.907617 [0.852459,0.862069,0.920635,0.793103,0.881356,0.903226,0.875,0.949153,0.983051,0.83871,0.918033,0.967742,0.892857,0.933333,0.983051,0.779661,0.95082,0.983607,0.912281,0.847458,0.9,0.830769,0.983051,0.967742,1,0.888889] f_measure 0.915976 [0.888889,0.892308,1,0.827586,0.912281,0.967742,0.888889,0.95082,0.983607,0.758621,0.701754,0.95082,0.918033,0.877193,0.983607,0.885246,0.931034,1,0.965517,0.83871,0.918033,0.892857,0.931034,0.967742,1,0.983051] f_measure 0.899094 [0.966667,0.847458,0.965517,0.830769,0.779661,0.881356,0.819672,0.983607,0.903226,0.875,0.872727,0.966667,0.827586,0.825397,0.983051,0.825397,0.920635,0.949153,0.947368,0.842105,0.933333,0.8,0.928571,0.952381,1,0.949153] f_measure 0.922414 [0.965517,0.84375,0.983607,0.881356,0.857143,0.920635,0.915254,0.965517,0.967742,0.920635,0.892857,0.983051,0.881356,0.857143,1,0.825397,0.918033,0.983051,0.983607,0.949153,0.928571,0.830769,0.912281,0.918033,0.983051,0.915254] f_measure 0.92713 [0.912281,0.875,0.95082,0.933333,0.852459,0.966667,0.95082,0.95082,0.983051,0.862069,0.83871,0.983607,0.885246,0.842105,1,0.825397,0.885246,0.983607,0.949153,0.965517,0.896552,0.896552,0.983051,1,1,0.933333] f_measure 0.91407 [0.903226,0.903226,0.965517,0.833333,0.888889,0.90625,0.931034,0.95082,0.949153,0.866667,0.813559,0.966667,0.807018,0.819672,0.966667,0.833333,0.931034,0.983607,0.947368,0.881356,0.966667,0.949153,0.9,0.95082,0.983051,0.967742] f_measure 0.916674 [0.967742,0.875,0.935484,0.885246,0.819672,0.9375,0.931034,0.983051,0.95082,0.931034,0.931034,0.9,0.836364,0.866667,0.966667,0.774194,0.966667,0.983607,0.947368,0.9,0.933333,0.877193,0.9,0.966667,0.918033,0.949153] f_measure 0.91131 [0.90625,0.833333,0.983607,0.909091,0.877193,0.95082,0.870968,1,0.983607,0.909091,0.806452,0.952381,0.819672,0.814815,0.983051,0.785714,0.888889,0.983051,0.965517,0.881356,0.949153,0.818182,0.949153,1,1,0.872727] f_measure 0.926189 [0.920635,0.885246,0.965517,0.9,0.870968,0.892308,0.935484,1,1,0.892308,0.903226,0.95082,0.842105,0.915254,0.967742,0.777778,0.949153,1,0.872727,0.885246,1,0.915254,0.888889,0.983607,0.983607,0.983051] f_measure 0.913616 [0.983607,0.888889,0.965517,0.8,0.866667,0.933333,0.935484,0.935484,1,0.95082,0.825397,0.9,0.872727,0.9,0.933333,0.821429,0.877193,1,0.949153,0.857143,0.966667,0.786885,0.983607,0.952381,0.983051,0.885246] f_measure 0.901147 [0.952381,0.818182,0.966667,0.885246,0.793103,0.885246,0.847458,0.965517,0.95082,0.833333,0.9,0.967742,0.870968,0.912281,1,0.830769,0.9,0.983607,0.933333,0.821429,0.965517,0.701754,0.912281,0.9,0.965517,0.966667] f_measure 0.909922 [0.933333,0.793103,0.918033,0.806452,0.830769,0.885246,0.966667,0.983051,0.966667,0.877193,0.878788,0.966667,0.842105,0.852459,0.965517,0.881356,0.952381,0.967742,0.912281,0.896552,0.952381,0.8,0.933333,0.983607,1,0.912281] f_measure 0.925666 [0.903226,0.819672,0.967742,0.912281,0.885246,0.903226,0.95082,0.918033,0.983607,0.952381,0.931034,0.949153,0.896552,0.915254,0.949153,0.892857,0.95082,1,0.912281,0.870968,0.888889,0.9,0.915254,0.966667,0.983051,0.949153] f_measure 0.908406 [0.888889,0.818182,0.95082,0.792453,0.77193,0.920635,0.903226,0.983607,0.966667,0.833333,0.885246,0.967742,0.881356,0.896552,0.983607,0.903226,0.918033,0.95082,0.931034,0.949153,0.918033,0.866667,0.892857,0.949153,0.983051,0.912281] f_measure 0.929614 [0.933333,0.903226,0.966667,0.896552,0.885246,0.935484,0.83871,0.983607,0.949153,0.885246,0.915254,0.933333,0.896552,0.888889,0.966667,0.877193,0.983051,0.967742,0.949153,0.918033,0.983051,0.875,1,0.983051,0.983051,0.872727] f_measure 0.920538 [0.888889,0.848485,0.965517,0.881356,0.836364,0.935484,0.870968,0.949153,0.918033,0.920635,0.915254,0.983607,0.9,0.872727,0.983051,0.9,0.983051,0.949153,0.983051,0.95082,0.952381,0.8,0.949153,0.966667,1,0.830189] f_measure 0.91811 [0.918033,0.881356,0.95082,0.888889,0.852459,0.903226,0.885246,0.928571,0.933333,0.835821,0.896552,0.983051,0.836364,0.9,1,0.9,0.872727,0.920635,0.965517,0.931034,0.966667,0.9,0.9375,0.966667,0.983051,0.933333] f_measure 0.92568 [0.875,0.8,1,0.952381,0.870968,0.967742,0.949153,0.966667,0.918033,0.933333,0.885246,0.965517,0.918033,0.866667,0.983607,0.866667,0.983051,0.933333,0.947368,0.931034,0.967742,0.793103,0.912281,0.966667,0.983051,0.931034] f_measure 0.89736 [0.935484,0.779661,0.915254,0.915254,0.774194,0.966667,0.875,0.952381,0.923077,0.857143,0.866667,0.95082,0.83871,0.842105,0.949153,0.881356,0.9,0.983051,0.983051,0.862069,0.920635,0.761905,0.949153,0.983051,0.965517,0.8] f_measure 0.921432 [0.933333,0.90625,1,0.931034,0.842105,0.903226,0.933333,0.931034,0.9375,0.785714,0.870968,1,0.872727,0.915254,0.983051,0.779661,0.918033,0.983051,0.965517,0.909091,0.918033,0.918033,0.90625,0.983607,0.983051,0.947368] f_measure 0.902168 [0.83871,0.813559,1,0.888889,0.77193,0.903226,0.9375,0.965517,0.949153,0.935484,0.862069,0.983051,0.9,0.806452,0.983607,0.866667,0.9,0.966667,0.949153,0.885246,0.847458,0.724138,0.881356,1,1,0.896552] f_measure 0.909323 [0.875,0.885246,0.95082,0.84375,0.733333,0.931034,0.9,0.983051,0.933333,0.866667,0.9,0.920635,0.896552,0.872727,0.965517,0.842105,0.933333,0.935484,0.949153,0.852459,0.966667,0.825397,0.947368,0.983607,1,0.949153] f_measure 0.924676 [0.888889,0.842105,0.966667,0.947368,0.83871,0.949153,0.9,0.965517,0.966667,0.918033,0.915254,0.935484,0.862069,0.903226,0.918033,0.861538,0.949153,0.949153,0.95082,0.870968,0.966667,0.862069,0.966667,1,1,0.947368] f_measure 0.912644 [0.878788,0.933333,0.965517,0.920635,0.851852,0.966667,0.852459,0.947368,0.949153,0.80597,0.823529,0.983607,0.836364,0.885246,0.983051,0.920635,0.870968,0.967742,0.965517,0.842105,0.888889,0.857143,0.933333,1,0.983607,0.915254] f_measure 0.910239 [0.90625,0.861538,0.966667,0.852459,0.888889,0.95082,0.9,0.966667,0.949153,0.825397,0.819672,0.95082,0.903226,0.830189,0.966667,0.819672,0.881356,0.983607,0.983051,0.933333,0.9,0.847458,0.912281,0.952381,0.965517,0.949153] f_measure 0.933546 [0.965517,0.862069,0.983051,0.865672,0.793103,0.935484,0.933333,1,0.966667,0.935484,0.852459,1,0.877193,0.933333,1,0.852459,0.983607,1,1,0.903226,0.965517,0.847458,0.920635,0.983051,0.965517,0.947368] f_measure 0.906937 [0.9,0.746269,0.965517,0.836364,0.786885,0.95082,0.857143,0.983051,0.983607,0.857143,0.806452,1,0.912281,0.881356,0.983051,0.813559,0.983051,0.983607,0.966667,0.814815,0.918033,0.847458,0.918033,0.966667,0.983051,0.935484] f_measure 0.912692 [0.923077,0.888889,0.949153,0.881356,0.8,0.877193,0.915254,0.965517,0.95082,0.877193,0.888889,0.983051,0.866667,0.833333,0.966667,0.84375,0.983051,0.966667,0.918033,0.888889,0.983607,0.833333,0.9,0.933333,1,0.912281] f_measure 0.911216 [0.915254,0.819672,0.949153,0.931034,0.842105,0.9,0.920635,0.949153,0.933333,0.918033,0.848485,0.983607,0.857143,0.881356,0.983051,0.740741,0.935484,0.95082,0.949153,0.965517,0.949153,0.793651,0.90625,0.967742,0.983051,0.918033] f_measure 0.926881 [0.903226,0.852459,0.965517,0.896552,0.83871,0.967742,0.912281,0.966667,0.9375,0.9,0.966667,0.967742,0.892857,0.9,0.965517,0.9375,0.857143,0.983051,1,0.877193,0.915254,0.827586,0.983051,1,0.965517,0.918033] f_measure 0.923944 [0.920635,0.9,0.909091,0.9,0.833333,0.95082,0.95082,0.967742,0.952381,0.857143,0.915254,0.967742,0.933333,0.877193,0.947368,0.872727,0.896552,1,0.931034,0.933333,0.9375,0.875,0.935484,1,0.965517,0.892857] f_measure 0.898596 [0.878788,0.774194,0.949153,0.875,0.857143,0.885246,0.8125,0.983607,0.949153,0.983607,0.866667,1,0.8,0.825397,0.983607,0.807018,0.888889,0.983051,0.965517,0.777778,0.947368,0.807018,0.928571,0.935484,0.983051,0.915254] f_measure 0.917928 [0.888889,0.8,0.933333,0.866667,0.814815,0.967742,0.896552,0.949153,0.967742,0.9,0.857143,0.965517,0.928571,0.872727,0.967742,0.862069,0.967742,0.983051,0.947368,0.915254,0.949153,0.865672,0.965517,0.9375,1,0.896552] f_measure 0.912668 [0.920635,0.888889,0.949153,0.878788,0.814815,0.909091,0.877193,0.965517,0.967742,0.965517,0.935484,0.90625,0.857143,0.862069,0.928571,0.741935,0.857143,0.966667,0.933333,0.903226,0.912281,0.933333,0.920635,0.967742,0.983051,0.983051] f_measure 0.913866 [0.923077,0.870968,0.983051,0.885246,0.754717,0.866667,0.825397,0.983051,0.966667,0.918033,0.933333,0.983051,0.807018,0.793651,1,0.84375,0.933333,1,0.965517,0.909091,0.967742,0.862069,0.949153,0.95082,0.965517,0.918033] f_measure 0.916416 [0.95082,0.857143,1,0.848485,0.877193,0.881356,0.877193,0.983607,0.983607,0.952381,0.912281,0.95082,0.857143,0.920635,0.983051,0.851852,0.903226,0.966667,0.915254,0.9,0.9,0.754098,0.933333,0.965517,1,0.9] f_measure 0.914802 [0.9375,0.8125,0.933333,0.885246,0.909091,0.892857,0.95082,0.966667,0.95082,0.95082,0.95082,0.949153,0.915254,0.877193,0.920635,0.862069,0.952381,0.983607,0.949153,0.949153,0.9375,0.774194,0.827586,0.95082,0.965517,0.830189] f_measure 0.896073 [0.892308,0.862069,0.933333,0.779661,0.78125,0.892857,0.949153,0.918033,0.920635,0.857143,0.903226,0.966667,0.851852,0.779661,0.966667,0.766667,0.892857,0.966667,0.967742,0.933333,0.933333,0.8125,0.967742,0.983607,0.928571,0.888889] f_measure 0.913881 [0.935484,0.862069,1,0.857143,0.833333,0.915254,0.847458,0.983051,0.903226,0.923077,0.896552,0.983607,0.875,0.833333,0.965517,0.888889,0.915254,0.933333,0.928571,0.836364,0.933333,0.881356,0.912281,0.983607,0.983051,0.95082] f_measure 0.905971 [0.923077,0.83871,0.966667,0.83871,0.851852,0.931034,0.827586,0.949153,0.931034,0.84375,0.872727,0.967742,0.836364,0.888889,0.965517,0.825397,0.903226,0.95082,1,0.872727,0.918033,0.888889,0.915254,0.952381,1,0.896552] f_measure 0.914222 [0.90625,0.8,0.912281,0.862069,0.896552,0.933333,0.949153,0.947368,0.967742,0.870968,0.870968,0.947368,0.779661,0.758621,0.967742,0.870968,0.983607,0.983051,0.933333,0.903226,1,0.918033,0.949153,0.983051,0.983051,0.892857] f_measure 0.901589 [0.931034,0.819672,0.933333,0.827586,0.786885,0.872727,0.84375,0.983607,0.909091,0.935484,0.928571,0.918033,0.881356,0.83871,0.965517,0.866667,0.949153,0.965517,0.915254,0.896552,0.9375,0.861538,0.885246,0.983051,0.947368,0.857143] f_measure 0.920255 [0.95082,0.878788,0.983607,0.793651,0.896552,0.912281,0.872727,0.965517,0.983051,0.862069,0.885246,0.967742,0.792453,0.84375,0.983051,0.83871,0.949153,0.983607,0.947368,0.935484,0.966667,0.847458,0.983607,0.9375,1,0.965517] f_measure 0.913072 [0.885246,0.830769,0.949153,0.779661,0.823529,0.9,0.920635,0.983607,0.952381,0.90625,0.928571,0.966667,0.896552,0.912281,0.965517,0.819672,0.947368,0.965517,0.965517,0.862069,0.966667,0.777778,0.947368,0.9375,1,0.949153] f_measure 0.918868 [0.935484,0.851852,0.983051,0.870968,0.813559,0.931034,0.866667,0.933333,0.983607,0.949153,0.95082,0.918033,0.915254,0.885246,0.915254,0.885246,0.920635,0.966667,0.949153,0.852459,0.967742,0.847458,0.915254,0.983051,1,0.9] f_measure 0.915697 [0.857143,0.896552,0.965517,0.888889,0.866667,0.9,0.830189,0.966667,0.966667,0.852941,0.912281,0.95082,0.892857,0.903226,0.983607,0.870968,0.933333,1,0.947368,0.918033,0.915254,0.825397,0.931034,0.949153,0.983051,0.9] f_measure 0.909969 [0.935484,0.903226,0.952381,0.931034,0.821429,0.965517,0.9375,0.967742,0.933333,0.915254,0.870968,0.95082,0.866667,0.877193,0.912281,0.786885,0.912281,0.952381,0.983051,0.862069,0.931034,0.75,0.920635,0.949153,1,0.872727] f_measure 0.919107 [0.915254,0.90625,0.949153,0.84375,0.9,0.915254,0.866667,0.983607,0.983607,0.903226,0.949153,0.983607,0.872727,0.875,0.983051,0.847458,0.912281,0.983051,0.931034,0.806452,0.935484,0.785714,0.967742,0.983051,0.983051,0.931034] f_measure 0.90999 [0.865672,0.935484,0.966667,0.78125,0.814815,0.918033,0.903226,0.983051,0.935484,0.912281,0.852459,0.947368,0.827586,0.881356,0.931034,0.862069,0.920635,0.95082,0.949153,0.862069,0.935484,0.842105,0.966667,1,1,0.915254] f_measure 0.936744 [0.896552,0.918033,0.983607,0.935484,0.870968,0.947368,0.912281,0.95082,0.95082,0.9375,0.931034,0.967742,0.896552,0.915254,0.966667,0.892857,0.95082,0.983607,0.983607,0.95082,0.935484,0.862069,0.949153,0.983051,0.965517,0.918033] f_measure 0.924099 [0.95082,0.935484,0.967742,0.885246,0.9,0.945455,0.862069,1,0.95082,0.885246,0.857143,0.983607,0.833333,0.807018,0.983051,0.825397,0.918033,0.966667,0.983607,0.892857,0.949153,0.931034,0.915254,0.983607,0.983607,0.931034] f_measure 0.930458 [0.966667,0.827586,0.965517,0.949153,0.833333,0.949153,0.915254,0.935484,0.952381,0.920635,0.967742,0.95082,0.872727,0.807018,0.965517,0.885246,0.967742,0.965517,0.967742,0.965517,0.949153,0.892308,0.920635,0.983051,0.983051,0.931034] f_measure 0.919249 [0.918033,0.895522,0.983051,0.888889,0.836364,0.903226,0.931034,0.95082,0.903226,0.870968,0.896552,0.983051,0.877193,0.83871,0.966667,0.852459,0.95082,0.983051,0.931034,0.872727,0.983607,0.852459,0.931034,0.983051,0.983051,0.933333] f_measure 0.907129 [0.935484,0.933333,0.935484,0.918033,0.842105,0.90625,0.903226,0.935484,0.933333,0.888889,0.881356,0.935484,0.847458,0.857143,0.947368,0.793103,0.965517,0.966667,0.947368,0.807018,0.935484,0.825397,0.903226,0.966667,0.983607,0.888889] f_measure 0.921863 [0.865672,0.877193,1,0.84375,0.857143,0.933333,0.885246,0.965517,0.935484,0.949153,0.857143,0.952381,0.945455,0.896552,0.928571,0.857143,0.918033,0.949153,1,0.847458,0.949153,0.903226,0.918033,0.95082,1,0.983607] f_measure 0.908367 [0.84375,0.84375,0.933333,0.9,0.8,0.933333,0.888889,0.983607,0.983607,0.851852,0.857143,0.966667,0.836364,0.813559,1,0.852459,0.967742,0.983607,0.918033,0.819672,0.920635,0.836364,0.983051,0.983051,0.965517,0.949153] f_measure 0.919267 [0.870968,0.888889,0.965517,0.9,0.881356,0.892857,0.9,0.935484,0.920635,0.819672,0.857143,0.983051,0.896552,0.857143,0.966667,0.881356,0.949153,0.949153,0.933333,0.920635,0.983607,0.881356,0.949153,1,0.983051,0.933333] f_measure 0.916349 [0.881356,0.741935,1,0.967742,0.8,0.892857,0.881356,0.935484,0.966667,0.918033,0.896552,0.888889,0.918033,0.872727,0.965517,0.8125,0.983051,0.967742,0.983051,0.9,0.966667,0.814815,0.966667,0.952381,0.983607,0.966667] f_measure 0.910221 [0.903226,0.754098,0.967742,0.9,0.8,0.866667,0.95082,0.952381,0.920635,0.875,0.888889,0.949153,0.928571,0.912281,0.949153,0.881356,0.95082,0.965517,0.949153,0.931034,0.933333,0.870968,0.909091,0.95082,0.909091,0.896552] kappa 0.896 kappa 0.902667 kappa 0.909333 kappa 0.912 kappa 0.913333 kappa 0.924 kappa 0.901333 kappa 0.918667 kappa 0.905333 kappa 0.918667 kappa 0.910667 kappa 0.917333 kappa 0.908 kappa 0.914667 kappa 0.905333 kappa 0.908 kappa 0.922667 kappa 0.92 kappa 0.917333 kappa 0.925333 kappa 0.914667 kappa 0.918667 kappa 0.908 kappa 0.904 kappa 0.916 kappa 0.916 kappa 0.901333 kappa 0.914667 kappa 0.909333 kappa 0.924 kappa 0.905333 kappa 0.901333 kappa 0.908 kappa 0.921333 kappa 0.942667 kappa 0.896 kappa 0.901333 kappa 0.902667 kappa 0.918667 kappa 0.901333 kappa 0.898667 kappa 0.904 kappa 0.913333 kappa 0.894667 kappa 0.918667 kappa 0.924 kappa 0.910667 kappa 0.913333 kappa 0.908 kappa 0.924 kappa 0.910667 kappa 0.897333 kappa 0.906667 kappa 0.922667 kappa 0.905333 kappa 0.926667 kappa 0.917333 kappa 0.914667 kappa 0.922667 kappa 0.893333 kappa 0.918667 kappa 0.898667 kappa 0.905333 kappa 0.921333 kappa 0.909333 kappa 0.906667 kappa 0.930667 kappa 0.902667 kappa 0.909333 kappa 0.908 kappa 0.923902 kappa 0.921232 kappa 0.894532 kappa 0.914557 kappa 0.909216 kappa 0.910552 kappa 0.913222 kappa 0.911887 kappa 0.89186 kappa 0.910552 kappa 0.902542 kappa 0.910552 kappa 0.897201 kappa 0.917227 kappa 0.909217 kappa 0.915892 kappa 0.911887 kappa 0.906547 kappa 0.915892 kappa 0.906547 kappa 0.934583 kappa 0.921232 kappa 0.927907 kappa 0.915893 kappa 0.903877 kappa 0.918562 kappa 0.905211 kappa 0.915892 kappa 0.913222 kappa 0.906546 kb_relative_information_score 676.446809 kb_relative_information_score 682.629355 kb_relative_information_score 678.587105 kb_relative_information_score 682.955427 kb_relative_information_score 688.175175 kb_relative_information_score 683.087834 kb_relative_information_score 679.576025 kb_relative_information_score 691.577678 kb_relative_information_score 677.633384 kb_relative_information_score 683.767379 kb_relative_information_score 684.482815 kb_relative_information_score 687.744989 kb_relative_information_score 680.827312 kb_relative_information_score 680.595408 kb_relative_information_score 680.985166 kb_relative_information_score 676.621753 kb_relative_information_score 685.733053 kb_relative_information_score 687.108164 kb_relative_information_score 681.859949 kb_relative_information_score 684.11175 kb_relative_information_score 679.422327 kb_relative_information_score 688.489623 kb_relative_information_score 682.722766 kb_relative_information_score 682.05413 kb_relative_information_score 680.846226 kb_relative_information_score 681.869558 kb_relative_information_score 677.157896 kb_relative_information_score 681.637323 kb_relative_information_score 684.046061 kb_relative_information_score 688.141906 kb_relative_information_score 686.312287 kb_relative_information_score 683.878742 kb_relative_information_score 684.421592 kb_relative_information_score 686.028389 kb_relative_information_score 692.084386 kb_relative_information_score 677.005194 kb_relative_information_score 680.940725 kb_relative_information_score 684.354485 kb_relative_information_score 683.096452 kb_relative_information_score 683.949747 kb_relative_information_score 679.272599 kb_relative_information_score 681.964917 kb_relative_information_score 686.2727 kb_relative_information_score 676.998388 kb_relative_information_score 682.509302 kb_relative_information_score 686.855176 kb_relative_information_score 683.225744 kb_relative_information_score 680.994438 kb_relative_information_score 682.369433 kb_relative_information_score 685.235141 kb_relative_information_score 682.347514 kb_relative_information_score 678.350157 kb_relative_information_score 685.956966 kb_relative_information_score 683.320769 kb_relative_information_score 684.091843 kb_relative_information_score 688.368774 kb_relative_information_score 683.093385 kb_relative_information_score 683.235608 kb_relative_information_score 686.131026 kb_relative_information_score 678.544274 kb_relative_information_score 683.512625 kb_relative_information_score 678.110523 kb_relative_information_score 683.409451 kb_relative_information_score 685.103115 kb_relative_information_score 685.550701 kb_relative_information_score 682.331916 kb_relative_information_score 687.528808 kb_relative_information_score 678.369514 kb_relative_information_score 682.686796 kb_relative_information_score 682.703027 kb_relative_information_score 687.763014 kb_relative_information_score 681.025471 kb_relative_information_score 673.780669 kb_relative_information_score 684.513399 kb_relative_information_score 682.269457 kb_relative_information_score 685.376967 kb_relative_information_score 680.791885 kb_relative_information_score 683.637394 kb_relative_information_score 674.954619 kb_relative_information_score 682.650157 kb_relative_information_score 679.87065 kb_relative_information_score 678.214026 kb_relative_information_score 678.397934 kb_relative_information_score 680.439623 kb_relative_information_score 676.42572 kb_relative_information_score 683.630912 kb_relative_information_score 683.138446 kb_relative_information_score 677.376532 kb_relative_information_score 685.74466 kb_relative_information_score 681.278363 kb_relative_information_score 690.614396 kb_relative_information_score 687.001835 kb_relative_information_score 686.093462 kb_relative_information_score 683.092679 kb_relative_information_score 678.14502 kb_relative_information_score 684.683054 kb_relative_information_score 685.224608 kb_relative_information_score 680.518447 kb_relative_information_score 682.794277 kb_relative_information_score 677.472147 mean_absolute_error 0.021209 mean_absolute_error 0.020252 mean_absolute_error 0.021026 mean_absolute_error 0.020229 mean_absolute_error 0.019705 mean_absolute_error 0.020824 mean_absolute_error 0.020531 mean_absolute_error 0.019271 mean_absolute_error 0.021163 mean_absolute_error 0.020344 mean_absolute_error 0.020485 mean_absolute_error 0.02002 mean_absolute_error 0.020744 mean_absolute_error 0.0213 mean_absolute_error 0.020726 mean_absolute_error 0.021278 mean_absolute_error 0.020506 mean_absolute_error 0.019942 mean_absolute_error 0.020712 mean_absolute_error 0.020265 mean_absolute_error 0.021057 mean_absolute_error 0.019947 mean_absolute_error 0.020324 mean_absolute_error 0.020349 mean_absolute_error 0.020489 mean_absolute_error 0.020541 mean_absolute_error 0.021311 mean_absolute_error 0.020682 mean_absolute_error 0.0205 mean_absolute_error 0.01994 mean_absolute_error 0.020272 mean_absolute_error 0.019836 mean_absolute_error 0.020301 mean_absolute_error 0.020636 mean_absolute_error 0.019161 mean_absolute_error 0.021512 mean_absolute_error 0.020837 mean_absolute_error 0.020239 mean_absolute_error 0.020547 mean_absolute_error 0.020393 mean_absolute_error 0.020887 mean_absolute_error 0.020507 mean_absolute_error 0.019923 mean_absolute_error 0.021442 mean_absolute_error 0.02079 mean_absolute_error 0.019764 mean_absolute_error 0.020444 mean_absolute_error 0.020844 mean_absolute_error 0.020522 mean_absolute_error 0.020261 mean_absolute_error 0.020596 mean_absolute_error 0.021352 mean_absolute_error 0.019793 mean_absolute_error 0.020561 mean_absolute_error 0.020661 mean_absolute_error 0.019721 mean_absolute_error 0.020294 mean_absolute_error 0.02067 mean_absolute_error 0.020055 mean_absolute_error 0.021077 mean_absolute_error 0.020643 mean_absolute_error 0.020809 mean_absolute_error 0.020601 mean_absolute_error 0.020332 mean_absolute_error 0.020245 mean_absolute_error 0.02027 mean_absolute_error 0.019566 mean_absolute_error 0.021273 mean_absolute_error 0.020381 mean_absolute_error 0.020207 mean_absolute_error 0.020093 mean_absolute_error 0.020871 mean_absolute_error 0.021336 mean_absolute_error 0.01989 mean_absolute_error 0.020473 mean_absolute_error 0.020016 mean_absolute_error 0.020496 mean_absolute_error 0.020229 mean_absolute_error 0.021343 mean_absolute_error 0.01991 mean_absolute_error 0.020541 mean_absolute_error 0.020823 mean_absolute_error 0.020906 mean_absolute_error 0.02077 mean_absolute_error 0.020928 mean_absolute_error 0.020257 mean_absolute_error 0.020635 mean_absolute_error 0.020872 mean_absolute_error 0.020051 mean_absolute_error 0.020576 mean_absolute_error 0.019272 mean_absolute_error 0.020137 mean_absolute_error 0.020082 mean_absolute_error 0.020245 mean_absolute_error 0.021061 mean_absolute_error 0.019734 mean_absolute_error 0.019598 mean_absolute_error 0.020632 mean_absolute_error 0.020231 mean_absolute_error 0.020652 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 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 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 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 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 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 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 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 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 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 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 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] 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 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] 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] 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 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] 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] 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] 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] 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] 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] 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] 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 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] 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 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] 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] 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] precision 0.903003 [0.823529,0.8,0.931034,0.75,0.806452,0.964286,0.862069,0.966667,0.966667,0.933333,0.9,1,0.862069,0.827586,1,0.923077,1,0.935484,0.9375,0.806452,0.933333,0.78125,0.928571,0.935484,1,0.903226] precision 0.910504 [0.848485,0.806452,1,0.83871,0.757576,0.925926,0.823529,1,0.935484,0.84375,0.92,0.931034,0.931034,0.933333,0.931034,0.892857,0.928571,0.967742,1,0.925926,0.783784,0.9,1,0.882353,1,0.965517] precision 0.914177 [0.965517,0.83871,0.935484,0.933333,0.892857,1,0.892857,1,0.9375,0.828571,0.896552,1,0.888889,0.870968,0.935484,0.764706,0.83871,0.965517,1,0.892857,0.925926,0.821429,0.875,0.967742,0.966667,0.933333] precision 0.917912 [0.967742,0.888889,0.966667,0.935484,0.852941,0.903226,0.878788,1,0.928571,0.763158,0.892857,0.967742,0.909091,0.958333,1,0.827586,0.866667,0.90625,0.965517,0.96,0.833333,0.827586,0.935484,1,0.964286,0.965517] precision 0.917837 [0.90625,0.884615,0.965517,0.931034,0.83871,0.866667,0.787879,0.966667,1,0.933333,0.933333,0.965517,0.848485,0.923077,0.967742,0.806452,0.966667,1,0.964286,0.9,0.935484,0.833333,0.935484,0.903226,1,0.9] precision 0.930843 [0.933333,0.862069,0.909091,0.818182,0.962963,0.878788,0.870968,1,0.896552,0.882353,0.925926,1,0.935484,0.964286,0.966667,0.833333,1,0.967742,1,0.931034,0.966667,0.763158,0.966667,1,0.966667,1] precision 0.906659 [0.882353,0.833333,0.909091,0.84375,0.913043,0.962963,0.84375,0.935484,0.933333,0.866667,0.83871,0.966667,0.9,0.892857,0.933333,0.806452,0.9,0.966667,0.935484,0.962963,0.928571,0.875,0.931034,0.882353,0.967742,0.961538] precision 0.924194 [0.964286,0.806452,0.967742,0.928571,0.83871,0.933333,0.923077,1,0.965517,0.805556,0.90625,0.967742,0.964286,0.875,0.966667,0.774194,0.862069,0.9375,0.90625,0.848485,0.964286,0.923077,1,1,1,1] precision 0.91171 [0.931034,0.806452,0.966667,0.828571,0.83871,0.8125,0.75,0.962963,0.966667,0.925926,0.928571,0.965517,0.928571,0.931034,0.965517,0.896552,0.931034,1,0.928571,0.857143,0.9375,0.83871,0.933333,0.90625,1,0.966667] precision 0.9246 [1,0.805556,1,0.892857,0.828571,0.875,0.857143,0.935484,1,0.852941,0.96,0.933333,0.961538,0.9,0.935484,0.8,0.875,1,0.931034,0.83871,0.931034,0.925926,1,1,1,1] precision 0.919468 [0.8,0.862069,0.967742,0.866667,0.736842,0.90625,0.828571,1,0.903226,0.783784,0.96,1,0.866667,0.892857,0.967742,0.913043,0.964286,0.965517,0.964286,0.962963,0.933333,0.925926,0.967742,1,0.966667,1] precision 0.921385 [0.862069,0.878788,0.966667,0.933333,0.925926,0.933333,0.896552,1,0.909091,0.84375,0.884615,0.966667,0.848485,0.8,1,0.862069,0.935484,1,0.966667,0.896552,0.90625,0.806452,0.965517,1,1,0.967742] precision 0.912892 [0.9,0.794118,0.9375,0.84375,0.888889,0.909091,0.870968,0.965517,0.903226,0.9375,0.935484,0.935484,0.961538,0.870968,0.933333,0.884615,0.967742,0.931034,1,0.862069,0.90625,0.774194,0.965517,0.933333,1,0.923077] precision 0.91908 [0.84375,0.870968,1,0.833333,0.888889,0.964286,0.818182,0.903226,0.967742,0.9,0.833333,0.90625,0.931034,0.96,1,0.9,0.909091,0.966667,0.935484,0.896552,0.935484,0.903226,0.933333,0.966667,1,0.928571] precision 0.911027 [0.870968,0.8125,0.90625,0.8,0.892857,0.961538,0.896552,0.909091,0.903226,0.928571,0.933333,0.928571,0.896552,0.878788,0.875,0.862069,0.928571,0.965517,0.935484,0.96,0.909091,0.866667,0.965517,0.966667,1,0.933333] precision 0.915935 [0.896552,0.823529,0.933333,0.848485,1,0.928571,0.903226,0.805556,0.965517,0.852941,1,0.935484,0.916667,0.83871,1,0.888889,0.903226,0.966667,0.966667,0.925926,0.823529,0.823529,0.965517,0.9375,1,0.964286] precision 0.927692 [0.935484,0.862069,0.931034,0.878788,0.75,0.965517,0.967742,1,0.933333,0.828571,0.961538,0.935484,0.888889,0.84375,1,0.827586,0.9375,0.9375,1,1,1,0.866667,1,0.9375,1,0.931034] precision 0.925455 [0.903226,0.764706,1,0.923077,0.787879,0.965517,0.903226,1,0.870968,0.9375,0.962963,1,0.962963,0.878788,0.9375,0.862069,1,0.964286,0.935484,0.870968,0.935484,0.9,0.928571,0.966667,1,0.9] precision 0.922773 [0.909091,0.766667,0.933333,0.851852,0.8,0.933333,0.903226,1,1,0.933333,0.903226,0.966667,0.935484,1,1,0.92,0.852941,0.967742,0.965517,1,0.896552,0.764706,0.967742,0.967742,1,0.852941] precision 0.93082 [0.925926,0.756757,0.967742,0.933333,0.892857,0.967742,0.933333,1,0.966667,0.875,0.933333,0.931034,0.933333,0.962963,0.935484,0.857143,0.90625,0.9375,1,0.935484,1,0.787879,0.967742,0.967742,0.967742,0.958333] precision 0.920662 [0.852941,0.923077,0.90625,0.857143,0.9,0.933333,0.84375,1,0.90625,0.878788,0.965517,0.965517,0.933333,0.962963,0.967742,0.833333,0.964286,0.964286,0.931034,0.9,0.903226,0.777778,0.9,0.966667,1,1] precision 0.923657 [0.9,0.896552,0.967742,0.828571,0.892857,0.90625,0.870968,0.90625,0.9375,0.903226,0.935484,0.966667,0.857143,0.83871,1,0.866667,0.935484,0.966667,0.964286,0.958333,1,0.8125,1,1,1,0.903226] precision 0.913299 [0.870968,0.75,1,0.928571,0.821429,0.862069,0.923077,0.965517,0.966667,0.875,0.870968,0.935484,0.866667,0.892857,1,0.870968,0.875,0.966667,0.928571,0.903226,0.935484,0.896552,0.964286,0.909091,0.966667,1] precision 0.911179 [0.875,0.870968,0.9375,0.870968,0.724138,1,0.794118,0.966667,0.909091,0.83871,1,0.935484,0.896552,0.848485,0.965517,0.956522,0.875,0.967742,0.9375,0.862069,0.964286,0.764706,0.966667,1,1,0.962963] precision 0.921348 [0.933333,0.727273,0.935484,0.862069,0.733333,0.931034,0.903226,0.966667,0.933333,0.9375,0.875,1,0.928571,0.9,1,0.84375,1,0.967742,0.966667,0.862069,1,0.8125,0.935484,1,1,1] precision 0.922877 [0.90625,0.736842,0.935484,0.928571,0.870968,0.892857,1,1,0.909091,0.909091,0.875,1,1,0.875,1,0.869565,0.964286,1,0.903226,0.866667,0.909091,0.833333,0.878788,0.967742,1,0.962963] precision 0.907078 [0.83871,0.833333,0.935484,0.96,0.8,0.90625,0.961538,0.966667,0.967742,0.966667,0.852941,0.909091,0.83871,0.866667,1,0.71875,0.965517,1,1,0.884615,0.857143,0.814815,0.892857,0.967742,1,0.878788] precision 0.920575 [0.896552,0.903226,1,0.83871,0.961538,0.875,0.75,0.9375,0.935484,0.848485,0.962963,0.933333,0.903226,0.84375,0.967742,0.78125,0.909091,0.965517,1,0.892857,1,0.862069,1,0.966667,1,1] precision 0.916854 [0.9,0.870968,0.962963,0.961538,0.964286,0.935484,0.83871,0.935484,1,0.823529,1,0.967742,0.952381,0.771429,1,0.875,0.931034,0.909091,0.933333,0.78125,0.875,0.8125,0.965517,1,1,0.870968] precision 0.930204 [0.823529,0.966667,0.935484,0.931034,0.933333,0.903226,0.9,0.964286,0.966667,0.870968,0.966667,0.964286,0.848485,0.956522,0.966667,0.90625,0.9,0.9375,0.964286,0.964286,0.848485,0.8,1,1,0.966667,1] precision 0.912593 [0.903226,0.742857,0.933333,0.933333,0.827586,0.862069,0.769231,1,1,0.933333,0.878788,0.933333,0.866667,0.814815,0.966667,0.925926,0.966667,0.967742,0.964286,0.956522,0.967742,0.827586,0.964286,0.857143,1,0.964286] precision 0.90842 [0.783784,0.675676,0.967742,0.916667,0.769231,0.966667,0.818182,0.909091,0.965517,0.9,0.888889,0.966667,0.866667,0.92,1,0.851852,0.935484,0.967742,0.967742,0.818182,0.966667,0.9,0.965517,1,0.966667,0.964286] precision 0.914123 [0.875,0.870968,0.965517,0.857143,0.806452,1,0.9,0.965517,0.882353,0.833333,0.92,0.909091,0.92,0.823529,1,0.892857,0.935484,0.966667,1,0.903226,0.828571,0.84375,1,0.933333,0.967742,0.966667] precision 0.927918 [0.962963,0.933333,1,0.961538,0.756757,0.965517,0.875,0.967742,0.966667,0.882353,1,0.964286,0.925926,0.818182,1,0.806452,1,0.967742,0.967742,0.964286,0.878788,0.8,0.933333,0.967742,0.966667,0.892857] precision 0.945385 [0.933333,0.875,1,0.964286,0.933333,1,0.870968,1,1,0.90625,0.933333,1,0.870968,0.888889,0.967742,0.933333,1,0.967742,0.967742,0.931034,0.9,0.862069,0.967742,1,1,0.90625] precision 0.902638 [0.962963,0.727273,0.965517,0.8125,0.777778,0.852941,0.83871,0.966667,0.9375,0.896552,0.83871,0.903226,0.962963,0.870968,0.965517,0.818182,0.935484,0.966667,0.928571,0.83871,0.875,0.892857,0.933333,1,1,1] precision 0.907682 [0.967742,0.818182,0.933333,0.857143,0.9,0.925926,0.75,1,0.935484,0.787879,0.884615,1,0.892857,0.862069,1,0.9,0.90625,0.965517,0.878788,0.857143,0.848485,0.866667,0.964286,0.967742,0.966667,0.962963] precision 0.908268 [0.84375,0.774194,0.966667,0.870968,0.793103,0.9,0.933333,0.965517,0.967742,0.928571,0.903226,0.90625,0.888889,0.857143,0.935484,0.892857,0.875,1,0.903226,0.903226,0.90625,0.735294,0.964286,1,1,1] precision 0.925591 [0.962963,0.931034,1,0.848485,0.857143,0.852941,0.848485,1,0.878788,0.8125,0.964286,1,0.9,0.965517,1,0.84375,0.882353,0.909091,1,0.933333,0.964286,0.84375,1,0.966667,1,0.9] precision 0.908185 [0.965517,0.8125,0.966667,0.827586,0.75,1,0.83871,1,0.909091,0.83871,0.818182,0.882353,0.888889,0.892857,0.962963,0.78125,0.794118,1,0.967742,0.964286,0.962963,0.852941,1,0.935484,1,1] precision 0.904919 [0.90625,0.794118,0.964286,0.875,0.826087,0.870968,0.966667,1,0.967742,0.903226,0.8125,1,0.758621,0.764706,1,0.866667,0.90625,1,0.961538,0.823529,0.903226,0.833333,0.956522,0.966667,1,0.9] precision 0.910414 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precision 0.911907 [0.823529,0.870968,0.935484,0.794118,0.733333,0.964286,0.9,1,0.933333,0.866667,0.9,0.878788,0.928571,0.96,1,0.888889,0.933333,0.90625,0.965517,0.83871,0.966667,0.787879,1,0.967742,1,0.965517] precision 0.926799 [0.848485,0.888889,0.966667,1,0.8125,0.965517,0.9,1,0.966667,0.903226,0.931034,0.90625,0.892857,0.875,0.903226,0.8,0.965517,0.965517,0.935484,0.84375,0.966667,0.892857,0.966667,1,1,1] precision 0.918579 [0.805556,0.933333,1,0.878788,0.958333,0.966667,0.83871,1,0.965517,0.72973,1,0.967742,0.92,0.870968,1,0.878788,0.84375,0.9375,1,0.888889,0.848485,0.818182,0.933333,1,0.967742,0.931034] precision 0.913758 [0.852941,0.8,0.966667,0.83871,1,0.935484,0.9,0.966667,0.965517,0.787879,0.806452,0.935484,0.875,0.956522,0.966667,0.806452,0.896552,0.967742,1,0.933333,0.9,0.862069,0.962963,0.909091,1,0.965517] precision 0.935802 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0.927162 [0.878788,0.9,1,0.9,0.833333,0.935484,0.935484,0.9375,0.909091,0.818182,0.931034,0.9375,0.903226,0.925926,1,0.96,0.928571,1,0.964286,0.933333,0.882353,0.823529,0.90625,1,1,0.961538] precision 0.902533 [0.805556,0.75,0.965517,0.823529,0.923077,0.84375,0.764706,0.967742,0.965517,0.967742,0.866667,1,0.8,0.787879,0.967742,0.851852,0.848485,1,1,0.875,1,0.851852,1,0.90625,1,0.931034] precision 0.922154 [0.848485,0.742857,0.933333,0.866667,0.916667,0.9375,0.928571,0.965517,0.9375,0.9,0.818182,1,0.962963,0.96,0.9375,0.892857,0.9375,1,1,0.931034,0.965517,0.783784,1,0.882353,1,0.928571] precision 0.916851 [0.878788,0.848485,0.965517,0.805556,0.916667,0.961538,0.925926,1,0.9375,1,0.90625,0.852941,0.923077,0.892857,1,0.71875,0.818182,0.966667,0.933333,0.875,0.962963,0.933333,0.878788,0.9375,1,1] precision 0.917128 [0.857143,0.84375,1,0.870968,0.869565,0.83871,0.787879,1,0.966667,0.903226,0.933333,1,0.851852,0.757576,1,0.794118,0.933333,1,1,1,0.9375,0.892857,0.965517,0.935484,1,0.903226] precision 0.919343 [0.935484,0.818182,1,0.777778,0.925926,0.866667,0.925926,0.967742,0.967742,0.909091,0.962963,0.935484,0.923077,0.878788,1,0.958333,0.875,0.966667,0.931034,0.9,0.9,0.741935,0.933333,1,1,0.9] precision 0.918253 [0.882353,0.764706,0.933333,0.870968,1,0.961538,0.935484,0.966667,0.935484,0.935484,0.935484,0.965517,0.9,0.925926,0.878788,0.892857,0.909091,0.967742,0.965517,0.965517,0.882353,0.75,0.857143,0.935484,1,0.956522] precision 0.900006 [0.828571,0.892857,0.933333,0.793103,0.735294,0.961538,0.965517,0.903226,0.878788,0.818182,0.875,0.966667,0.92,0.793103,0.966667,0.766667,0.961538,0.966667,0.9375,0.933333,0.933333,0.764706,0.9375,0.967742,1,1] precision 0.916442 [0.90625,0.892857,1,0.818182,0.833333,0.9,0.862069,1,0.875,0.857143,0.928571,0.967742,0.823529,0.833333,1,0.848485,0.931034,0.933333,1,0.92,0.933333,0.896552,0.962963,0.967742,1,0.935484] precision 0.910127 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[0.931034,0.852941,0.965517,0.794118,0.9,0.9,0.866667,0.967742,0.967742,0.875,0.965517,0.967742,0.96,0.823529,1,0.862069,0.962963,1,0.964286,0.78125,0.90625,0.846154,0.9375,1,1,0.964286] precision 0.913238 [0.783784,0.90625,0.966667,0.735294,0.916667,0.875,0.875,1,0.90625,0.962963,0.83871,1,0.857143,0.896552,0.964286,0.892857,0.878788,0.935484,0.965517,0.892857,0.90625,0.888889,0.966667,1,1,0.931034] precision 0.938198 [0.928571,0.903226,0.967742,0.90625,0.84375,0.964286,0.962963,0.935484,0.935484,0.882353,0.964286,0.9375,0.928571,0.931034,0.966667,0.961538,0.935484,0.967742,0.967742,0.935484,0.90625,0.892857,0.965517,1,1,0.903226] precision 0.925608 [0.935484,0.90625,0.9375,0.870968,0.9,1,0.892857,1,0.935484,0.870968,0.818182,0.967742,0.833333,0.851852,1,0.787879,0.903226,0.966667,0.967742,0.961538,0.965517,0.964286,0.931034,0.967742,0.967742,0.964286] precision 0.932488 [0.966667,0.857143,1,0.965517,0.833333,0.965517,0.931034,0.90625,0.909091,0.878788,0.9375,0.935484,0.923077,0.851852,1,0.870968,0.9375,1,0.9375,1,0.965517,0.828571,0.878788,1,1,0.964286] precision 0.922624 [0.903226,0.810811,1,0.848485,0.92,0.848485,0.964286,0.935484,0.875,0.84375,0.928571,1,0.925926,0.8125,0.966667,0.83871,0.935484,1,0.964286,0.96,0.967742,0.83871,0.964286,1,1,0.933333] precision 0.90997 [0.90625,0.933333,0.90625,0.903226,0.888889,0.852941,0.875,0.90625,0.933333,0.848485,0.896552,0.90625,0.833333,0.923077,1,0.821429,1,0.966667,1,0.851852,0.90625,0.787879,0.875,0.966667,0.967742,1] precision 0.925276 [0.783784,0.925926,1,0.794118,0.923077,0.933333,0.870968,1,0.90625,0.965517,0.818182,0.909091,1,0.928571,1,0.923077,0.903226,0.965517,1,0.862069,0.965517,0.875,0.903226,0.935484,1,0.967742] precision 0.911272 [0.794118,0.794118,0.933333,0.9,0.88,0.933333,0.848485,0.967742,0.967742,0.958333,0.818182,0.966667,0.884615,0.827586,1,0.83871,0.9375,0.967742,0.903226,0.806452,0.878788,0.92,1,1,1,0.965517] precision 0.920976 [0.84375,0.848485,1,0.9,0.896552,0.925926,0.9,0.90625,0.878788,0.806452,0.923077,1,0.928571,0.818182,0.966667,0.896552,0.965517,0.965517,0.933333,0.878788,0.967742,0.896552,0.965517,1,1,0.933333] precision 0.918737 [0.896552,0.71875,1,0.9375,0.8,0.925926,0.896552,0.90625,0.966667,0.903226,0.928571,0.848485,0.903226,0.96,1,0.764706,1,0.9375,1,0.9,0.966667,0.916667,0.966667,0.909091,0.967742,0.966667] precision 0.913832 [0.875,0.741935,0.9375,0.9,0.8,0.866667,0.935484,0.909091,0.878788,0.823529,1,0.965517,0.962963,0.962963,0.965517,0.896552,0.935484,1,0.965517,0.964286,0.933333,0.84375,0.833333,0.935484,1,0.928571] predictive_accuracy 0.9 predictive_accuracy 0.90641 predictive_accuracy 0.912821 predictive_accuracy 0.915385 predictive_accuracy 0.916667 predictive_accuracy 0.926923 predictive_accuracy 0.905128 predictive_accuracy 0.921795 predictive_accuracy 0.908974 predictive_accuracy 0.921795 predictive_accuracy 0.914103 predictive_accuracy 0.920513 predictive_accuracy 0.911538 predictive_accuracy 0.917949 predictive_accuracy 0.908974 predictive_accuracy 0.911538 predictive_accuracy 0.925641 predictive_accuracy 0.923077 predictive_accuracy 0.920513 predictive_accuracy 0.928205 predictive_accuracy 0.917949 predictive_accuracy 0.921795 predictive_accuracy 0.911538 predictive_accuracy 0.907692 predictive_accuracy 0.919231 predictive_accuracy 0.919231 predictive_accuracy 0.905128 predictive_accuracy 0.917949 predictive_accuracy 0.912821 predictive_accuracy 0.926923 predictive_accuracy 0.908974 predictive_accuracy 0.905128 predictive_accuracy 0.911538 predictive_accuracy 0.924359 predictive_accuracy 0.944872 predictive_accuracy 0.9 predictive_accuracy 0.905128 predictive_accuracy 0.90641 predictive_accuracy 0.921795 predictive_accuracy 0.905128 predictive_accuracy 0.902564 predictive_accuracy 0.907692 predictive_accuracy 0.916667 predictive_accuracy 0.898718 predictive_accuracy 0.921795 predictive_accuracy 0.926923 predictive_accuracy 0.914103 predictive_accuracy 0.916667 predictive_accuracy 0.911538 predictive_accuracy 0.926923 predictive_accuracy 0.914103 predictive_accuracy 0.901282 predictive_accuracy 0.910256 predictive_accuracy 0.925641 predictive_accuracy 0.908974 predictive_accuracy 0.929487 predictive_accuracy 0.920513 predictive_accuracy 0.917949 predictive_accuracy 0.925641 predictive_accuracy 0.897436 predictive_accuracy 0.921795 predictive_accuracy 0.902564 predictive_accuracy 0.908974 predictive_accuracy 0.924359 predictive_accuracy 0.912821 predictive_accuracy 0.910256 predictive_accuracy 0.933333 predictive_accuracy 0.90641 predictive_accuracy 0.912821 predictive_accuracy 0.911538 predictive_accuracy 0.926829 predictive_accuracy 0.924262 predictive_accuracy 0.898588 predictive_accuracy 0.917843 predictive_accuracy 0.912709 predictive_accuracy 0.913992 predictive_accuracy 0.91656 predictive_accuracy 0.915276 predictive_accuracy 0.896021 predictive_accuracy 0.913992 predictive_accuracy 0.90629 predictive_accuracy 0.913992 predictive_accuracy 0.901155 predictive_accuracy 0.920411 predictive_accuracy 0.912709 predictive_accuracy 0.919127 predictive_accuracy 0.915276 predictive_accuracy 0.910141 predictive_accuracy 0.919127 predictive_accuracy 0.910141 predictive_accuracy 0.937099 predictive_accuracy 0.924262 predictive_accuracy 0.93068 predictive_accuracy 0.919127 predictive_accuracy 0.907574 predictive_accuracy 0.921694 predictive_accuracy 0.908858 predictive_accuracy 0.919127 predictive_accuracy 0.91656 predictive_accuracy 0.910141 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 recall 0.9 [0.933333,0.8,0.9,0.9,0.833333,0.9,0.833333,0.966667,0.966667,0.933333,0.9,1,0.833333,0.8,0.966667,0.8,0.866667,0.966667,1,0.833333,0.933333,0.833333,0.866667,0.966667,0.933333,0.933333] recall 0.90641 [0.933333,0.833333,1,0.866667,0.833333,0.833333,0.933333,0.966667,0.966667,0.9,0.766667,0.9,0.9,0.933333,0.9,0.833333,0.866667,1,0.933333,0.833333,0.966667,0.9,0.9,1,0.933333,0.933333] recall 0.912821 [0.933333,0.866667,0.966667,0.933333,0.833333,1,0.833333,1,1,0.966667,0.866667,0.933333,0.8,0.9,0.966667,0.866667,0.866667,0.933333,1,0.833333,0.833333,0.766667,0.933333,1,0.966667,0.933333] recall 0.915385 [1,0.8,0.966667,0.966667,0.966667,0.933333,0.966667,1,0.866667,0.966667,0.833333,1,1,0.766667,0.966667,0.8,0.866667,0.966667,0.933333,0.8,0.833333,0.8,0.966667,1,0.9,0.933333] recall 0.916667 [0.966667,0.766667,0.933333,0.9,0.866667,0.866667,0.866667,0.966667,1,0.933333,0.933333,0.933333,0.933333,0.8,1,0.833333,0.966667,1,0.9,0.9,0.966667,0.833333,0.966667,0.933333,0.966667,0.9] recall 0.926923 [0.933333,0.833333,1,0.9,0.866667,0.966667,0.9,0.966667,0.866667,1,0.833333,0.966667,0.966667,0.9,0.966667,0.833333,0.933333,1,0.9,0.9,0.966667,0.966667,0.966667,1,0.966667,0.8] recall 0.905128 [1,0.833333,1,0.9,0.7,0.866667,0.9,0.966667,0.933333,0.866667,0.866667,0.966667,0.9,0.833333,0.933333,0.833333,0.9,0.966667,0.966667,0.866667,0.866667,0.933333,0.9,1,1,0.833333] recall 0.921795 [0.9,0.833333,1,0.866667,0.866667,0.933333,0.8,1,0.933333,0.966667,0.966667,1,0.9,0.933333,0.966667,0.8,0.833333,1,0.966667,0.933333,0.9,0.8,0.966667,0.966667,1,0.933333] recall 0.908974 [0.9,0.833333,0.966667,0.966667,0.866667,0.866667,0.9,0.866667,0.966667,0.833333,0.866667,0.933333,0.866667,0.9,0.933333,0.866667,0.9,1,0.866667,0.8,1,0.866667,0.933333,0.966667,1,0.966667] recall 0.921795 [0.966667,0.966667,0.966667,0.833333,0.966667,0.933333,0.8,0.966667,1,0.966667,0.8,0.933333,0.833333,0.9,0.966667,0.8,0.933333,1,0.9,0.866667,0.9,0.833333,0.933333,1,1,1] recall 0.914103 [0.933333,0.833333,1,0.866667,0.933333,0.966667,0.966667,0.966667,0.933333,0.966667,0.8,1,0.866667,0.833333,1,0.7,0.9,0.933333,0.9,0.866667,0.933333,0.833333,1,0.966667,0.966667,0.9] recall 0.920513 [0.833333,0.966667,0.966667,0.933333,0.833333,0.933333,0.866667,0.966667,1,0.9,0.766667,0.966667,0.933333,0.8,1,0.833333,0.966667,0.933333,0.966667,0.866667,0.966667,0.833333,0.933333,1,0.966667,1] recall 0.911538 [0.9,0.9,1,0.9,0.8,1,0.9,0.933333,0.933333,1,0.966667,0.966667,0.833333,0.9,0.933333,0.766667,1,0.9,0.933333,0.833333,0.966667,0.8,0.933333,0.933333,0.966667,0.8] recall 0.917949 [0.9,0.9,0.966667,0.833333,0.8,0.9,0.9,0.933333,1,0.9,0.833333,0.966667,0.9,0.8,0.966667,0.9,1,0.966667,0.966667,0.866667,0.966667,0.933333,0.933333,0.966667,1,0.866667] recall 0.908974 [0.9,0.866667,0.966667,0.933333,0.833333,0.833333,0.866667,1,0.933333,0.866667,0.933333,0.866667,0.866667,0.966667,0.933333,0.833333,0.866667,0.933333,0.966667,0.8,1,0.866667,0.933333,0.966667,0.966667,0.933333] recall 0.911538 [0.866667,0.933333,0.933333,0.933333,0.8,0.866667,0.933333,0.966667,0.933333,0.966667,0.866667,0.966667,0.733333,0.866667,0.933333,0.8,0.933333,0.966667,0.966667,0.833333,0.933333,0.933333,0.933333,1,1,0.9] recall 0.925641 [0.966667,0.833333,0.9,0.966667,0.8,0.933333,1,0.966667,0.933333,0.966667,0.833333,0.966667,0.8,0.9,0.966667,0.8,1,1,0.966667,0.966667,0.933333,0.866667,0.966667,1,0.933333,0.9] recall 0.923077 [0.933333,0.866667,0.966667,0.8,0.866667,0.933333,0.933333,0.966667,0.9,1,0.866667,0.966667,0.866667,0.966667,1,0.833333,0.966667,0.9,0.966667,0.9,0.966667,0.9,0.866667,0.966667,1,0.9] recall 0.920513 [1,0.766667,0.933333,0.766667,0.8,0.933333,0.933333,0.966667,0.966667,0.933333,0.933333,0.966667,0.966667,0.933333,0.966667,0.766667,0.966667,1,0.933333,0.833333,0.866667,0.866667,1,1,0.966667,0.966667] recall 0.928205 [0.833333,0.933333,1,0.933333,0.833333,1,0.933333,0.933333,0.966667,0.933333,0.933333,0.9,0.933333,0.866667,0.966667,0.8,0.966667,1,0.966667,0.966667,0.9,0.866667,1,1,1,0.766667] recall 0.917949 [0.966667,0.8,0.966667,0.8,0.9,0.933333,0.9,0.966667,0.966667,0.966667,0.933333,0.933333,0.933333,0.866667,1,0.833333,0.9,0.9,0.9,0.9,0.933333,0.933333,0.9,0.966667,1,0.866667] recall 0.921795 [0.9,0.866667,1,0.966667,0.833333,0.966667,0.9,0.966667,1,0.933333,0.966667,0.966667,0.8,0.866667,0.966667,0.866667,0.966667,0.966667,0.9,0.766667,0.9,0.866667,0.9,1,1,0.933333] recall 0.911538 [0.9,0.9,1,0.866667,0.766667,0.833333,0.8,0.933333,0.966667,0.933333,0.9,0.966667,0.866667,0.833333,0.966667,0.9,0.933333,0.966667,0.866667,0.933333,0.966667,0.866667,0.9,1,0.966667,0.966667] recall 0.907692 [0.933333,0.9,1,0.9,0.7,0.833333,0.9,0.966667,1,0.866667,0.9,0.966667,0.866667,0.933333,0.933333,0.733333,0.933333,1,1,0.833333,0.9,0.866667,0.966667,0.933333,0.966667,0.866667] recall 0.919231 [0.933333,0.8,0.966667,0.833333,0.733333,0.9,0.933333,0.966667,0.933333,1,0.933333,1,0.866667,0.9,0.966667,0.9,0.9,1,0.966667,0.833333,1,0.866667,0.966667,1,0.966667,0.833333] recall 0.919231 [0.966667,0.933333,0.966667,0.866667,0.9,0.833333,0.933333,0.933333,1,1,0.933333,1,0.733333,0.933333,1,0.666667,0.9,0.933333,0.933333,0.866667,1,0.833333,0.966667,1,1,0.866667] recall 0.905128 [0.866667,0.833333,0.966667,0.8,0.8,0.966667,0.833333,0.966667,1,0.966667,0.966667,1,0.866667,0.866667,0.933333,0.766667,0.933333,1,0.9,0.766667,1,0.733333,0.833333,1,1,0.966667] recall 0.917949 [0.866667,0.933333,1,0.866667,0.833333,0.933333,0.8,1,0.966667,0.933333,0.866667,0.933333,0.933333,0.9,1,0.833333,1,0.933333,0.9,0.833333,0.866667,0.833333,0.933333,0.966667,1,1] recall 0.912821 [0.9,0.9,0.866667,0.833333,0.9,0.966667,0.866667,0.966667,0.933333,0.933333,0.933333,1,0.666667,0.9,0.966667,0.933333,0.9,1,0.933333,0.833333,0.933333,0.866667,0.933333,0.966667,1,0.9] recall 0.926923 [0.933333,0.966667,0.966667,0.9,0.933333,0.933333,0.9,0.9,0.966667,0.9,0.966667,0.9,0.933333,0.733333,0.966667,0.966667,0.9,1,0.9,0.9,0.933333,0.933333,0.966667,0.966667,0.966667,0.866667] recall 0.908974 [0.933333,0.866667,0.933333,0.933333,0.8,0.833333,1,0.966667,0.966667,0.933333,0.966667,0.933333,0.866667,0.733333,0.966667,0.833333,0.966667,1,0.9,0.733333,1,0.8,0.9,1,0.966667,0.9] recall 0.905128 [0.966667,0.833333,1,0.733333,0.666667,0.966667,0.9,1,0.933333,0.9,0.8,0.966667,0.866667,0.766667,0.966667,0.766667,0.966667,1,1,0.9,0.966667,0.9,0.933333,0.966667,0.966667,0.9] recall 0.911538 [0.933333,0.9,0.933333,0.8,0.833333,0.9,0.9,0.933333,1,0.833333,0.766667,1,0.766667,0.933333,0.966667,0.833333,0.966667,0.966667,1,0.933333,0.966667,0.9,0.833333,0.933333,1,0.966667] recall 0.924359 [0.866667,0.933333,0.9,0.833333,0.933333,0.933333,0.933333,1,0.966667,1,0.966667,0.9,0.833333,0.9,0.966667,0.833333,0.933333,1,1,0.9,0.966667,0.8,0.933333,1,0.966667,0.833333] recall 0.944872 [0.933333,0.933333,1,0.9,0.933333,0.966667,0.9,0.966667,1,0.966667,0.933333,0.966667,0.9,0.8,1,0.933333,0.933333,1,1,0.9,0.9,0.833333,1,1,1,0.966667] recall 0.9 [0.866667,0.8,0.933333,0.866667,0.7,0.966667,0.866667,0.966667,1,0.866667,0.866667,0.933333,0.866667,0.9,0.933333,0.9,0.966667,0.966667,0.866667,0.866667,0.933333,0.833333,0.933333,0.9,0.966667,0.933333] recall 0.905128 [1,0.9,0.933333,0.8,0.9,0.833333,0.9,0.933333,0.966667,0.866667,0.766667,0.966667,0.833333,0.833333,1,0.9,0.966667,0.933333,0.966667,0.8,0.933333,0.866667,0.9,1,0.966667,0.866667] recall 0.90641 [0.9,0.8,0.966667,0.9,0.766667,0.9,0.933333,0.933333,1,0.866667,0.933333,0.966667,0.8,0.8,0.966667,0.833333,0.933333,1,0.933333,0.933333,0.966667,0.833333,0.9,0.966667,0.933333,0.9] recall 0.921795 [0.866667,0.9,0.866667,0.933333,0.8,0.966667,0.933333,0.966667,0.966667,0.866667,0.9,1,0.9,0.933333,0.966667,0.9,1,1,0.9,0.933333,0.9,0.9,0.866667,0.966667,0.933333,0.9] recall 0.905128 [0.933333,0.866667,0.966667,0.8,0.7,0.9,0.866667,0.966667,1,0.866667,0.9,1,0.8,0.833333,0.866667,0.833333,0.9,0.966667,1,0.9,0.866667,0.966667,0.966667,0.966667,1,0.9] recall 0.902564 [0.966667,0.9,0.9,0.933333,0.633333,0.9,0.966667,0.933333,1,0.933333,0.866667,1,0.733333,0.866667,1,0.866667,0.966667,1,0.833333,0.933333,0.933333,0.833333,0.733333,0.966667,0.966667,0.9] recall 0.907692 [0.866667,0.833333,0.966667,0.766667,0.866667,0.933333,0.933333,0.933333,0.966667,0.866667,0.933333,1,0.833333,0.933333,0.966667,0.766667,0.966667,1,0.866667,0.833333,0.9,0.9,0.966667,1,1,0.8] recall 0.916667 [0.933333,0.966667,1,0.8,0.866667,1,0.933333,0.966667,1,0.733333,0.666667,0.966667,0.933333,0.833333,1,0.9,0.9,1,0.933333,0.866667,0.933333,0.833333,0.9,1,1,0.966667] recall 0.898718 [0.966667,0.833333,0.933333,0.9,0.766667,0.866667,0.833333,1,0.933333,0.933333,0.8,0.966667,0.8,0.866667,0.966667,0.866667,0.966667,0.933333,0.9,0.8,0.933333,0.8,0.866667,1,1,0.933333] recall 0.921795 [0.933333,0.9,1,0.866667,0.8,0.966667,0.9,0.933333,1,0.966667,0.833333,0.966667,0.866667,0.9,1,0.866667,0.933333,0.966667,1,0.933333,0.866667,0.9,0.866667,0.933333,0.966667,0.9] recall 0.926923 [0.866667,0.933333,0.966667,0.933333,0.866667,0.966667,0.966667,0.966667,0.966667,0.833333,0.866667,1,0.9,0.8,1,0.866667,0.9,1,0.933333,0.933333,0.866667,0.866667,0.966667,1,1,0.933333] recall 0.914103 [0.933333,0.933333,0.933333,0.833333,0.933333,0.966667,0.9,0.966667,0.933333,0.866667,0.8,0.966667,0.766667,0.833333,0.966667,0.833333,0.9,1,0.9,0.866667,0.966667,0.933333,0.9,0.966667,0.966667,1] recall 0.916667 [1,0.933333,0.966667,0.9,0.833333,1,0.9,0.966667,0.966667,0.9,0.9,0.9,0.766667,0.866667,0.966667,0.8,0.966667,1,0.9,0.9,0.933333,0.833333,0.9,0.966667,0.933333,0.933333] recall 0.911538 [0.966667,0.833333,1,0.833333,0.833333,0.966667,0.9,1,1,1,0.833333,1,0.833333,0.733333,0.966667,0.733333,0.933333,0.966667,0.933333,0.866667,0.933333,0.9,0.933333,1,1,0.8] recall 0.926923 [0.966667,0.9,0.933333,0.9,0.9,0.966667,0.966667,1,1,0.966667,0.933333,0.966667,0.8,0.9,1,0.7,0.933333,1,0.8,0.9,1,0.9,0.8,1,1,0.966667] recall 0.914103 [1,0.933333,0.933333,0.733333,0.866667,0.933333,0.966667,0.966667,1,0.966667,0.866667,0.9,0.8,0.9,0.933333,0.766667,0.833333,1,0.933333,0.9,0.966667,0.8,1,1,0.966667,0.9] recall 0.901282 [1,0.9,0.966667,0.9,0.766667,0.9,0.833333,0.933333,0.966667,0.833333,0.9,1,0.9,0.866667,1,0.9,0.9,1,0.933333,0.766667,0.933333,0.666667,0.866667,0.9,0.933333,0.966667] recall 0.910256 [0.933333,0.766667,0.933333,0.833333,0.9,0.9,0.966667,0.966667,0.966667,0.833333,0.966667,0.966667,0.8,0.866667,0.933333,0.866667,1,1,0.866667,0.866667,1,0.733333,0.933333,1,1,0.866667] recall 0.925641 [0.933333,0.833333,1,0.866667,0.9,0.933333,0.966667,0.933333,1,1,0.9,0.933333,0.866667,0.9,0.933333,0.833333,0.966667,1,0.866667,0.9,0.933333,0.9,0.9,0.966667,0.966667,0.933333] recall 0.908974 [0.933333,0.9,0.966667,0.7,0.733333,0.966667,0.933333,1,0.966667,0.833333,0.9,1,0.866667,0.866667,1,0.933333,0.933333,0.966667,0.9,0.933333,0.933333,0.866667,0.833333,0.933333,0.966667,0.866667] recall 0.929487 [0.933333,0.933333,0.966667,0.866667,0.9,0.966667,0.866667,1,0.933333,0.9,0.9,0.933333,0.866667,0.933333,0.966667,0.833333,0.966667,1,0.933333,0.933333,0.966667,0.933333,1,0.966667,0.966667,0.8] recall 0.920513 [0.933333,0.933333,0.933333,0.866667,0.766667,0.966667,0.9,0.933333,0.933333,0.966667,0.9,1,0.9,0.8,0.966667,0.9,0.966667,0.933333,0.966667,0.966667,1,0.866667,0.933333,0.966667,1,0.733333] recall 0.917949 [0.933333,0.866667,0.966667,0.933333,0.866667,0.933333,0.9,0.866667,0.933333,0.933333,0.866667,0.966667,0.766667,0.9,1,0.9,0.8,0.966667,0.933333,0.9,0.966667,0.9,1,0.966667,0.966667,0.933333] recall 0.925641 [0.933333,0.8,1,1,0.9,1,0.933333,0.966667,0.933333,0.933333,0.9,0.933333,0.933333,0.866667,1,0.866667,0.966667,0.933333,0.9,0.9,1,0.766667,0.866667,0.966667,0.966667,0.9] recall 0.897436 [0.966667,0.766667,0.9,0.9,0.8,0.966667,0.933333,1,1,0.8,0.866667,0.966667,0.866667,0.8,0.933333,0.866667,0.9,0.966667,0.966667,0.833333,0.966667,0.8,0.933333,0.966667,0.933333,0.733333] recall 0.921795 [0.933333,0.966667,1,0.9,0.8,0.933333,0.933333,0.9,1,0.733333,0.9,1,0.8,0.9,0.966667,0.766667,0.933333,0.966667,0.933333,1,0.933333,0.933333,0.966667,1,0.966667,0.9] recall 0.902564 [0.866667,0.8,1,0.933333,0.733333,0.933333,1,0.933333,0.933333,0.966667,0.833333,0.966667,0.9,0.833333,1,0.866667,0.9,0.966667,0.933333,0.9,0.833333,0.7,0.866667,1,1,0.866667] recall 0.908974 [0.933333,0.9,0.966667,0.9,0.733333,0.9,0.9,0.966667,0.933333,0.866667,0.9,0.966667,0.866667,0.8,0.933333,0.8,0.933333,0.966667,0.933333,0.866667,0.966667,0.866667,0.9,1,1,0.933333] recall 0.924359 [0.933333,0.8,0.966667,0.9,0.866667,0.933333,0.9,0.933333,0.966667,0.933333,0.9,0.966667,0.833333,0.933333,0.933333,0.933333,0.933333,0.933333,0.966667,0.9,0.966667,0.833333,0.966667,1,1,0.9] recall 0.912821 [0.966667,0.933333,0.933333,0.966667,0.766667,0.966667,0.866667,0.9,0.933333,0.9,0.7,1,0.766667,0.9,0.966667,0.966667,0.9,1,0.933333,0.8,0.933333,0.9,0.933333,1,1,0.9] recall 0.910256 [0.966667,0.933333,0.966667,0.866667,0.8,0.966667,0.9,0.966667,0.933333,0.866667,0.833333,0.966667,0.933333,0.733333,0.966667,0.833333,0.866667,1,0.966667,0.933333,0.9,0.833333,0.866667,1,0.933333,0.933333] recall 0.933333 [0.933333,0.833333,0.966667,0.966667,0.766667,0.966667,0.933333,1,0.966667,0.966667,0.866667,1,0.833333,0.933333,1,0.866667,1,1,1,0.933333,0.933333,0.833333,0.966667,0.966667,0.933333,0.9] recall 0.90641 [0.9,0.833333,0.933333,0.766667,0.8,0.966667,0.9,0.966667,1,0.9,0.833333,1,0.866667,0.866667,0.966667,0.8,0.966667,1,0.966667,0.733333,0.933333,0.833333,0.933333,0.966667,0.966667,0.966667] recall 0.912821 [1,0.933333,0.933333,0.866667,0.733333,0.833333,0.9,0.933333,0.966667,0.833333,0.933333,0.966667,0.866667,0.833333,0.966667,0.9,0.966667,0.966667,0.933333,0.933333,1,0.833333,0.9,0.933333,1,0.866667] recall 0.911538 [0.9,0.833333,0.933333,0.9,0.8,0.9,0.966667,0.933333,0.933333,0.933333,0.933333,1,0.8,0.866667,0.966667,0.666667,0.966667,0.966667,0.933333,0.933333,0.933333,0.833333,0.966667,1,0.966667,0.933333] recall 0.926829 [0.933333,0.866667,0.933333,0.866667,0.866667,1,0.866667,0.966667,1,0.9,0.966667,1,0.862069,0.9,0.933333,1,0.9,0.966667,1,0.833333,0.9,0.8,0.966667,1,0.933333,0.933333] recall 0.924262 [0.966667,0.9,0.833333,0.9,0.833333,0.966667,0.966667,1,1,0.9,0.9,1,0.965517,0.833333,0.9,0.8,0.866667,1,0.9,0.933333,1,0.933333,0.966667,1,0.933333,0.833333] recall 0.898588 [0.966667,0.8,0.933333,0.933333,0.8,0.931034,0.866667,1,0.933333,1,0.866667,1,0.8,0.866667,1,0.766667,0.933333,0.966667,0.933333,0.7,0.9,0.766667,0.866667,0.966667,0.966667,0.9] recall 0.917843 [0.933333,0.866667,0.933333,0.866667,0.733333,1,0.866667,0.933333,1,0.9,0.9,0.933333,0.896552,0.8,1,0.833333,1,0.966667,0.9,0.9,0.933333,0.966667,0.933333,1,1,0.866667] recall 0.912709 [0.966667,0.933333,0.933333,0.966667,0.733333,0.862069,0.833333,0.933333,1,0.933333,0.966667,0.966667,0.8,0.833333,0.866667,0.766667,0.9,0.966667,0.933333,0.933333,0.866667,0.933333,0.966667,1,0.966667,0.966667] recall 0.913992 [1,0.9,0.966667,0.9,0.666667,0.896552,0.866667,0.966667,0.966667,0.933333,0.933333,0.966667,0.766667,0.833333,1,0.9,0.933333,1,0.933333,0.833333,1,0.833333,0.933333,0.966667,0.933333,0.933333] recall 0.91656 [0.966667,0.9,1,0.933333,0.833333,0.896552,0.833333,1,1,1,0.866667,0.966667,0.8,0.966667,0.966667,0.766667,0.933333,0.966667,0.9,0.9,0.9,0.766667,0.933333,0.933333,1,0.9] recall 0.915276 [1,0.866667,0.933333,0.9,0.833333,0.833333,0.966667,0.966667,0.966667,0.966667,0.966667,0.933333,0.931034,0.833333,0.966667,0.833333,1,1,0.933333,0.933333,1,0.8,0.8,0.966667,0.933333,0.733333] recall 0.896021 [0.966667,0.833333,0.933333,0.766667,0.833333,0.833333,0.933333,0.933333,0.966667,0.9,0.933333,0.966667,0.793103,0.766667,0.966667,0.766667,0.833333,0.966667,1,0.933333,0.933333,0.866667,1,1,0.866667,0.8] recall 0.913992 [0.966667,0.833333,1,0.9,0.833333,0.931034,0.833333,0.966667,0.933333,1,0.866667,1,0.933333,0.833333,0.933333,0.933333,0.9,0.933333,0.866667,0.766667,0.933333,0.866667,0.866667,1,0.966667,0.966667] recall 0.90629 [1,0.866667,0.966667,0.866667,0.766667,0.931034,0.8,0.933333,0.9,0.9,0.8,1,0.766667,0.933333,0.933333,0.866667,0.933333,0.966667,1,0.8,0.933333,0.933333,0.9,1,1,0.866667] recall 0.913992 [0.966667,0.866667,0.866667,0.833333,0.866667,0.965517,0.933333,0.9,1,0.9,0.9,0.9,0.766667,0.733333,1,0.9,1,0.966667,0.933333,0.933333,1,0.933333,0.933333,0.966667,0.966667,0.833333] recall 0.901155 [0.9,0.833333,0.933333,0.8,0.8,0.827586,0.9,1,1,0.966667,0.866667,0.933333,0.866667,0.866667,0.933333,0.866667,0.933333,0.933333,0.9,0.866667,1,0.933333,0.9,0.966667,0.9,0.8] recall 0.920411 [0.966667,0.966667,1,0.833333,0.866667,0.896552,0.8,0.933333,0.966667,0.833333,0.9,1,0.7,0.9,0.966667,0.866667,0.933333,1,0.9,0.966667,0.966667,0.833333,1,1,1,0.933333] recall 0.912709 [0.9,0.9,0.933333,0.766667,0.933333,0.931034,0.966667,1,1,0.966667,0.866667,0.966667,0.866667,0.866667,0.933333,0.833333,0.9,0.933333,0.933333,0.833333,0.966667,0.7,0.9,1,1,0.933333] recall 0.919127 [0.966667,0.766667,0.966667,0.9,0.8,0.931034,0.866667,0.933333,1,0.933333,0.966667,0.933333,0.9,0.9,0.9,0.9,0.966667,0.966667,0.933333,0.866667,1,0.833333,0.9,0.966667,1,0.9] recall 0.915276 [0.9,0.866667,0.933333,0.933333,0.866667,0.931034,0.733333,0.966667,0.966667,0.966667,0.866667,0.966667,0.833333,0.933333,1,0.9,0.933333,1,0.9,0.933333,0.9,0.866667,0.9,0.933333,0.966667,0.9] recall 0.910141 [0.966667,0.933333,1,0.9,0.766667,0.965517,1,1,0.933333,0.9,0.9,0.966667,0.866667,0.833333,0.866667,0.8,0.866667,1,0.966667,0.833333,0.9,0.8,0.966667,0.933333,1,0.8] recall 0.919127 [0.9,0.966667,0.933333,0.9,0.9,0.931034,0.866667,1,1,0.933333,0.933333,1,0.8,0.933333,0.966667,0.833333,0.866667,0.966667,0.9,0.833333,0.966667,0.733333,1,0.966667,0.966667,0.9] recall 0.910141 [0.966667,0.966667,0.966667,0.833333,0.733333,0.965517,0.933333,0.966667,0.966667,0.866667,0.866667,0.9,0.8,0.866667,0.9,0.833333,0.966667,0.966667,0.933333,0.833333,0.966667,0.8,0.966667,1,1,0.9] recall 0.937099 [0.866667,0.933333,1,0.966667,0.9,0.931034,0.866667,0.966667,0.966667,1,0.9,1,0.866667,0.9,0.966667,0.833333,0.966667,1,1,0.966667,0.966667,0.833333,0.933333,0.966667,0.933333,0.933333] recall 0.924262 [0.966667,0.966667,1,0.9,0.9,0.896552,0.833333,1,0.966667,0.9,0.9,1,0.833333,0.766667,0.966667,0.866667,0.933333,0.966667,1,0.833333,0.933333,0.9,0.9,1,1,0.9] recall 0.93068 [0.966667,0.8,0.933333,0.933333,0.833333,0.933333,0.9,0.966667,1,0.966667,1,0.966667,0.827586,0.766667,0.933333,0.9,1,0.933333,1,0.933333,0.933333,0.966667,0.966667,0.966667,0.966667,0.9] recall 0.919127 [0.933333,1,0.966667,0.933333,0.766667,0.965517,0.9,0.966667,0.933333,0.9,0.866667,0.966667,0.833333,0.866667,0.966667,0.866667,0.966667,0.966667,0.9,0.8,1,0.866667,0.9,0.966667,0.966667,0.933333] recall 0.907574 [0.966667,0.933333,0.966667,0.933333,0.8,0.966667,0.933333,0.966667,0.933333,0.933333,0.866667,0.966667,0.862069,0.8,0.9,0.766667,0.933333,0.966667,0.9,0.766667,0.966667,0.866667,0.933333,0.966667,1,0.8] recall 0.921694 [0.966667,0.833333,1,0.9,0.8,0.933333,0.9,0.933333,0.966667,0.933333,0.9,1,0.896552,0.866667,0.866667,0.8,0.933333,0.933333,1,0.833333,0.933333,0.933333,0.933333,0.966667,1,1] recall 0.908858 [0.9,0.9,0.933333,0.9,0.733333,0.933333,0.933333,1,1,0.766667,0.9,0.966667,0.793103,0.8,1,0.866667,1,1,0.933333,0.833333,0.966667,0.766667,0.966667,0.966667,0.933333,0.933333] recall 0.919127 [0.9,0.933333,0.933333,0.9,0.866667,0.862069,0.9,0.966667,0.966667,0.833333,0.8,0.966667,0.866667,0.9,0.966667,0.866667,0.933333,0.933333,0.933333,0.966667,1,0.866667,0.933333,1,0.966667,0.933333] recall 0.91656 [0.866667,0.766667,1,1,0.8,0.862069,0.866667,0.966667,0.966667,0.933333,0.866667,0.933333,0.933333,0.8,0.933333,0.866667,0.966667,1,0.966667,0.9,0.966667,0.733333,0.966667,1,1,0.966667] recall 0.910141 [0.933333,0.766667,1,0.9,0.8,0.866667,0.966667,1,0.966667,0.933333,0.8,0.933333,0.896552,0.866667,0.933333,0.866667,0.966667,0.933333,0.933333,0.9,0.933333,0.9,1,0.966667,0.833333,0.866667] relative_absolute_error 0.286751 relative_absolute_error 0.273809 relative_absolute_error 0.284274 relative_absolute_error 0.273495 relative_absolute_error 0.266408 relative_absolute_error 0.281536 relative_absolute_error 0.277575 relative_absolute_error 0.260539 relative_absolute_error 0.286124 relative_absolute_error 0.275051 relative_absolute_error 0.276951 relative_absolute_error 0.270671 relative_absolute_error 0.28046 relative_absolute_error 0.287981 relative_absolute_error 0.280214 relative_absolute_error 0.287682 relative_absolute_error 0.277241 relative_absolute_error 0.269619 relative_absolute_error 0.280022 relative_absolute_error 0.273981 relative_absolute_error 0.284691 relative_absolute_error 0.269689 relative_absolute_error 0.274781 relative_absolute_error 0.275119 relative_absolute_error 0.277007 relative_absolute_error 0.277711 relative_absolute_error 0.288128 relative_absolute_error 0.27962 relative_absolute_error 0.27716 relative_absolute_error 0.269594 relative_absolute_error 0.274074 relative_absolute_error 0.268186 relative_absolute_error 0.274464 relative_absolute_error 0.279002 relative_absolute_error 0.259061 relative_absolute_error 0.290838 relative_absolute_error 0.281716 relative_absolute_error 0.273638 relative_absolute_error 0.277799 relative_absolute_error 0.275712 relative_absolute_error 0.282396 relative_absolute_error 0.277258 relative_absolute_error 0.269358 relative_absolute_error 0.28989 relative_absolute_error 0.28108 relative_absolute_error 0.267205 relative_absolute_error 0.276403 relative_absolute_error 0.281804 relative_absolute_error 0.277462 relative_absolute_error 0.273922 relative_absolute_error 0.278452 relative_absolute_error 0.288682 relative_absolute_error 0.267597 relative_absolute_error 0.277985 relative_absolute_error 0.279343 relative_absolute_error 0.266626 relative_absolute_error 0.27437 relative_absolute_error 0.279453 relative_absolute_error 0.271142 relative_absolute_error 0.284955 relative_absolute_error 0.279096 relative_absolute_error 0.281334 relative_absolute_error 0.278528 relative_absolute_error 0.27489 relative_absolute_error 0.273707 relative_absolute_error 0.274049 relative_absolute_error 0.26453 relative_absolute_error 0.287605 relative_absolute_error 0.275552 relative_absolute_error 0.273205 relative_absolute_error 0.271653 relative_absolute_error 0.282171 relative_absolute_error 0.288457 relative_absolute_error 0.268914 relative_absolute_error 0.276797 relative_absolute_error 0.270613 relative_absolute_error 0.27711 relative_absolute_error 0.273495 relative_absolute_error 0.288561 relative_absolute_error 0.269186 relative_absolute_error 0.277714 relative_absolute_error 0.28152 relative_absolute_error 0.282655 relative_absolute_error 0.28081 relative_absolute_error 0.282947 relative_absolute_error 0.273873 relative_absolute_error 0.278987 relative_absolute_error 0.282187 relative_absolute_error 0.271089 relative_absolute_error 0.278187 relative_absolute_error 0.260551 relative_absolute_error 0.272254 relative_absolute_error 0.271506 relative_absolute_error 0.273715 relative_absolute_error 0.284747 relative_absolute_error 0.266798 relative_absolute_error 0.264961 relative_absolute_error 0.278946 relative_absolute_error 0.273517 relative_absolute_error 0.279219 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_squared_error 0.08425 root_mean_squared_error 0.080679 root_mean_squared_error 0.082376 root_mean_squared_error 0.081189 root_mean_squared_error 0.079277 root_mean_squared_error 0.080481 root_mean_squared_error 0.082185 root_mean_squared_error 0.076648 root_mean_squared_error 0.083045 root_mean_squared_error 0.07995 root_mean_squared_error 0.08069 root_mean_squared_error 0.07854 root_mean_squared_error 0.082339 root_mean_squared_error 0.081209 root_mean_squared_error 0.081655 root_mean_squared_error 0.083991 root_mean_squared_error 0.080107 root_mean_squared_error 0.078997 root_mean_squared_error 0.081462 root_mean_squared_error 0.080307 root_mean_squared_error 0.081921 root_mean_squared_error 0.078797 root_mean_squared_error 0.080733 root_mean_squared_error 0.080998 root_mean_squared_error 0.081836 root_mean_squared_error 0.080991 root_mean_squared_error 0.084056 root_mean_squared_error 0.080509 root_mean_squared_error 0.08006 root_mean_squared_error 0.078222 root_mean_squared_error 0.080165 root_mean_squared_error 0.080566 root_mean_squared_error 0.080553 root_mean_squared_error 0.07998 root_mean_squared_error 0.075322 root_mean_squared_error 0.084461 root_mean_squared_error 0.082323 root_mean_squared_error 0.080848 root_mean_squared_error 0.08032 root_mean_squared_error 0.081702 root_mean_squared_error 0.083089 root_mean_squared_error 0.08153 root_mean_squared_error 0.079312 root_mean_squared_error 0.083823 root_mean_squared_error 0.080052 root_mean_squared_error 0.07948 root_mean_squared_error 0.081357 root_mean_squared_error 0.081004 root_mean_squared_error 0.081398 root_mean_squared_error 0.080166 root_mean_squared_error 0.081435 root_mean_squared_error 0.083751 root_mean_squared_error 0.078917 root_mean_squared_error 0.080044 root_mean_squared_error 0.08063 root_mean_squared_error 0.078296 root_mean_squared_error 0.080159 root_mean_squared_error 0.081543 root_mean_squared_error 0.079472 root_mean_squared_error 0.083862 root_mean_squared_error 0.080193 root_mean_squared_error 0.083836 root_mean_squared_error 0.080411 root_mean_squared_error 0.079358 root_mean_squared_error 0.079798 root_mean_squared_error 0.080839 root_mean_squared_error 0.077237 root_mean_squared_error 0.084238 root_mean_squared_error 0.081064 root_mean_squared_error 0.080907 root_mean_squared_error 0.078412 root_mean_squared_error 0.080911 root_mean_squared_error 0.085218 root_mean_squared_error 0.079411 root_mean_squared_error 0.081446 root_mean_squared_error 0.080098 root_mean_squared_error 0.081708 root_mean_squared_error 0.080091 root_mean_squared_error 0.084686 root_mean_squared_error 0.080643 root_mean_squared_error 0.081546 root_mean_squared_error 0.082262 root_mean_squared_error 0.082977 root_mean_squared_error 0.081607 root_mean_squared_error 0.083307 root_mean_squared_error 0.080837 root_mean_squared_error 0.080924 root_mean_squared_error 0.082574 root_mean_squared_error 0.079679 root_mean_squared_error 0.081475 root_mean_squared_error 0.076095 root_mean_squared_error 0.078102 root_mean_squared_error 0.078303 root_mean_squared_error 0.080614 root_mean_squared_error 0.082755 root_mean_squared_error 0.079018 root_mean_squared_error 0.079214 root_mean_squared_error 0.081702 root_mean_squared_error 0.080869 root_mean_squared_error 0.083072 root_relative_squared_error 0.4381 root_relative_squared_error 0.41953 root_relative_squared_error 0.428353 root_relative_squared_error 0.422185 root_relative_squared_error 0.412239 root_relative_squared_error 0.418499 root_relative_squared_error 0.427363 root_relative_squared_error 0.398571 root_relative_squared_error 0.431834 root_relative_squared_error 0.41574 root_relative_squared_error 0.419587 root_relative_squared_error 0.408408 root_relative_squared_error 0.428163 root_relative_squared_error 0.422286 root_relative_squared_error 0.424607 root_relative_squared_error 0.436755 root_relative_squared_error 0.416559 root_relative_squared_error 0.410785 root_relative_squared_error 0.423603 root_relative_squared_error 0.417597 root_relative_squared_error 0.425988 root_relative_squared_error 0.409742 root_relative_squared_error 0.41981 root_relative_squared_error 0.421191 root_relative_squared_error 0.425545 root_relative_squared_error 0.421151 root_relative_squared_error 0.43709 root_relative_squared_error 0.418646 root_relative_squared_error 0.416314 root_relative_squared_error 0.406755 root_relative_squared_error 0.416856 root_relative_squared_error 0.418943 root_relative_squared_error 0.418874 root_relative_squared_error 0.415898 root_relative_squared_error 0.391674 root_relative_squared_error 0.439197 root_relative_squared_error 0.428079 root_relative_squared_error 0.420411 root_relative_squared_error 0.417665 root_relative_squared_error 0.424852 root_relative_squared_error 0.432062 root_relative_squared_error 0.423953 root_relative_squared_error 0.412422 root_relative_squared_error 0.435877 root_relative_squared_error 0.416272 root_relative_squared_error 0.413296 root_relative_squared_error 0.423055 root_relative_squared_error 0.421222 root_relative_squared_error 0.423271 root_relative_squared_error 0.416866 root_relative_squared_error 0.423462 root_relative_squared_error 0.435507 root_relative_squared_error 0.410367 root_relative_squared_error 0.416231 root_relative_squared_error 0.419278 root_relative_squared_error 0.40714 root_relative_squared_error 0.416827 root_relative_squared_error 0.424025 root_relative_squared_error 0.413253 root_relative_squared_error 0.436084 root_relative_squared_error 0.417001 root_relative_squared_error 0.435947 root_relative_squared_error 0.418137 root_relative_squared_error 0.412662 root_relative_squared_error 0.414949 root_relative_squared_error 0.420362 root_relative_squared_error 0.401633 root_relative_squared_error 0.43804 root_relative_squared_error 0.421534 root_relative_squared_error 0.420719 root_relative_squared_error 0.407744 root_relative_squared_error 0.420737 root_relative_squared_error 0.443135 root_relative_squared_error 0.412936 root_relative_squared_error 0.423521 root_relative_squared_error 0.41651 root_relative_squared_error 0.424881 root_relative_squared_error 0.416475 root_relative_squared_error 0.440365 root_relative_squared_error 0.419344 root_relative_squared_error 0.424037 root_relative_squared_error 0.427763 root_relative_squared_error 0.431478 root_relative_squared_error 0.424358 root_relative_squared_error 0.433199 root_relative_squared_error 0.420353 root_relative_squared_error 0.420806 root_relative_squared_error 0.429386 root_relative_squared_error 0.41433 root_relative_squared_error 0.423669 root_relative_squared_error 0.395694 root_relative_squared_error 0.406129 root_relative_squared_error 0.407175 root_relative_squared_error 0.419194 root_relative_squared_error 0.430326 root_relative_squared_error 0.410895 root_relative_squared_error 0.411911 root_relative_squared_error 0.424849 root_relative_squared_error 0.420519 root_relative_squared_error 0.431976 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 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 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