233237 2 Joaquin Vanschoren 4186 Supervised Classification predictive_accuracy 1185 weka.Bagging_REPTree(8) 2034 weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 40 -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 100 1185 S 1 1185 num-slots 1 1185 I 40 1185 W weka.classifiers.trees.REPTree 1185 weka weka_3.7.12 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 777396 description https://api.openml.org/data/download/777396/weka_generated_run4699817855609331484.xml -1 777399 model_readable https://api.openml.org/data/download/777399/WekaModel_weka.classifiers.meta.Bagging4409909300169258603.model -1 777398 model_serialized https://api.openml.org/data/download/777398/WekaSerialized_weka.classifiers.meta.Bagging8462178343177509783.model -1 777397 predictions https://api.openml.org/data/download/777397/weka_generated_predictions2819441311425155164.arff area_under_roc_curve 0.995663 [0.99248,0.992712,0.997173,0.993444,0.993838,0.998404,0.990986,0.998346,0.998929,0.99535,0.99502,0.999047,0.995246,0.992569,0.999568,0.988953,0.99609,0.999864,0.997275,0.994902,0.997831,0.99107,0.996234,0.999825,0.997381,0.99472] average_cost 0 f_measure 0.901974 [0.894907,0.84569,0.947085,0.867794,0.829142,0.915135,0.883358,0.966504,0.938321,0.870196,0.869753,0.951268,0.834219,0.853768,0.963224,0.831151,0.908664,0.965563,0.94671,0.871803,0.923957,0.82129,0.917607,0.968379,0.963538,0.902145] kappa 0.897961 kb_relative_information_score 68713.97761 mean_absolute_error 0.018348 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 0.902676 [0.866417,0.827223,0.957737,0.855293,0.857805,0.911178,0.862726,0.976199,0.935987,0.861247,0.869174,0.939818,0.855786,0.852209,0.970558,0.837052,0.913718,0.968478,0.961182,0.880095,0.906902,0.795625,0.927768,0.957031,0.97606,0.946213] predictive_accuracy 0.901885 prior_entropy 4.700438 recall 0.901885 [0.925333,0.865,0.936667,0.880667,0.802333,0.919128,0.905,0.957,0.940667,0.879333,0.870333,0.963,0.813712,0.855333,0.956,0.825333,0.903667,0.962667,0.932667,0.863667,0.941667,0.848667,0.907667,0.98,0.951333,0.862] relative_absolute_error 0.24807 root_mean_prior_squared_error 0.192308 root_mean_squared_error 0.08075 root_relative_squared_error 0.4199 scimark_benchmark 1300.781739 [810.520672375184, 1009.1411391007196, 534.865153646429, 1094.0901920563226, 3055.2915382985393] total_cost 0 usercpu_time_millis 181440 usercpu_time_millis_testing 120 usercpu_time_millis_training 181320 area_under_roc_curve 0.994478 [0.982756,0.994911,0.978444,0.994933,0.987022,0.999956,0.998533,0.998933,0.999556,0.996578,0.989067,0.999244,0.994711,0.983556,0.997422,0.992978,0.995111,0.999733,1,0.993022,0.996978,0.985556,0.999111,0.999778,0.999022,0.999511] area_under_roc_curve 0.996449 [0.9948,0.995067,1,0.996222,0.997067,0.9988,0.999244,0.992444,0.999511,0.998267,0.996667,0.999156,0.994222,0.9972,0.999511,0.992533,0.992044,0.999911,0.999511,0.994667,0.997733,0.997867,0.999778,0.999778,0.976778,0.998889] area_under_roc_curve 0.993932 [0.973289,0.991267,0.999867,0.9944,0.999156,0.999867,0.997778,0.999956,0.999644,0.997956,0.9754,0.999911,0.984711,0.992178,0.999778,0.964911,0.995956,1,0.999867,0.989111,0.9956,0.995689,0.998578,1,0.999067,0.998311] area_under_roc_curve 0.995902 [0.999156,0.995244,0.9996,0.998178,0.998933,0.998,0.998533,1,0.998756,0.997511,0.997511,1,0.998889,0.989733,0.999733,0.984044,0.994356,0.999733,0.999556,0.995689,0.995467,0.970244,0.999644,1,0.985244,0.999689] area_under_roc_curve 0.996273 [0.997378,0.9844,0.995511,0.997022,0.994089,0.996889,0.99,0.999644,1,0.998356,0.998089,0.999289,0.998756,0.992711,0.999689,0.992889,0.999822,1,0.999778,0.998222,0.999778,0.998356,0.999644,0.999644,0.975933,0.9972] area_under_roc_curve 0.995859 [0.971333,0.996267,0.999867,0.992756,0.999911,0.998489,0.998978,1,0.999289,0.998978,0.990444,0.999244,0.995778,0.995644,1,0.998667,0.999422,1,0.979667,0.996933,0.999467,0.9976,0.987956,1,0.9988,0.996844] area_under_roc_curve 0.996238 [0.998089,0.992667,0.999689,0.998356,0.986444,0.995378,0.996756,0.996311,0.999867,0.992756,0.999111,0.998044,0.989511,0.997067,0.998933,0.993867,0.991333,0.999956,0.998622,0.998756,0.991956,0.995156,0.997156,0.999778,0.9996,0.997022] area_under_roc_curve 0.996873 [0.991333,0.970644,1,0.997422,0.9952,0.999467,0.995689,1,0.999911,0.997822,0.995956,1,0.997733,0.9948,1,0.994044,0.996978,1,0.999289,0.997867,0.999689,0.998133,0.999911,1,0.999911,0.996889] area_under_roc_curve 0.996108 [0.9928,0.992356,0.9996,0.997822,0.996311,0.996133,0.998133,0.9988,0.999333,0.996533,0.994933,0.998222,0.996711,0.993867,0.999111,0.987156,0.998311,0.999911,0.998533,0.987156,0.999911,0.9932,0.984978,0.999733,1,0.999244] area_under_roc_curve 0.997726 [0.998756,0.996178,0.999956,0.992178,0.9972,0.997222,0.996667,0.999867,1,0.998844,0.999022,0.999289,0.997644,0.996178,0.999778,0.991733,0.999244,1,0.998467,0.995778,0.998356,0.991644,0.997111,1,0.999778,1] area_under_roc_curve 0.996239 [0.996844,0.995467,1,0.992444,0.995778,0.999422,0.999289,0.999244,0.999111,0.998844,0.998044,0.999911,0.994889,0.993556,0.999911,0.969289,0.999556,0.999778,0.999733,0.993822,0.999422,0.981911,0.998978,1,1,0.996978] area_under_roc_curve 0.997219 [0.997822,0.996889,0.999689,0.998756,0.997289,0.998667,0.997422,1,0.999733,0.991956,0.990889,0.999111,0.997333,0.995956,0.999778,0.9932,0.999111,1,0.999733,0.997778,0.999289,0.981644,0.997067,1,0.999022,0.999556] area_under_roc_curve 0.995165 [0.985689,0.995467,0.999778,0.993956,0.995333,0.999644,0.992044,0.998711,0.9984,1,0.999867,0.998267,0.994622,0.994267,0.998222,0.990889,0.999556,0.999333,0.999289,0.994,0.991867,0.991156,0.9766,0.999467,0.999956,0.987911] area_under_roc_curve 0.996343 [0.998844,0.996489,0.998778,0.990089,0.9968,0.998356,0.992622,0.9996,0.999733,0.991422,0.997511,0.999956,0.997511,0.970289,0.999956,0.997733,1,1,0.9996,0.996978,0.997467,0.988356,0.998444,1,0.999956,0.998422] area_under_roc_curve 0.993609 [0.9932,0.996844,0.999089,0.994356,0.996711,0.999022,0.973622,0.999333,0.997422,0.997556,0.9976,0.999289,0.997911,0.996267,0.999467,0.961067,0.989244,0.999822,0.999689,0.992133,0.999733,0.987244,0.976889,0.999867,0.999822,0.990644] area_under_roc_curve 0.993715 [0.9936,0.9964,0.999067,0.995689,0.993644,0.998756,0.9956,0.9976,0.986822,0.991244,0.971467,0.996933,0.991378,0.967489,0.999822,0.976267,0.997644,0.999867,0.999733,0.997511,0.9976,0.994933,0.998178,1,0.999911,0.999422] area_under_roc_curve 0.996358 [0.999022,0.9944,0.999556,0.996578,0.991778,0.999067,1,0.996844,0.999867,0.9984,0.998178,0.9996,0.998222,0.998267,0.999422,0.986267,0.999378,0.999733,0.9996,0.997689,0.999733,0.993156,0.989178,0.999956,0.999778,0.971644] area_under_roc_curve 0.997003 [0.999022,0.995111,0.999867,0.991156,0.998578,0.999244,0.998356,0.998667,0.986933,0.9996,0.995511,0.999022,0.994667,0.998178,0.999778,0.985244,1,0.999867,0.999778,0.994356,0.999822,0.995111,0.997156,0.999556,0.999911,0.9976] area_under_roc_curve 0.995456 [0.998444,0.993378,0.999511,0.983511,0.987778,0.999289,0.970756,0.999867,1,0.997778,0.999156,0.999867,0.995156,0.997689,1,0.994933,0.998089,0.999911,0.999689,0.994311,0.996489,0.9772,0.999867,0.999867,0.9996,0.999733] area_under_roc_curve 0.995488 [0.965667,0.996222,0.999822,0.998311,0.997644,0.999822,0.996578,0.999067,0.999733,0.983244,0.998178,0.999111,0.997422,0.997733,0.999644,0.989422,0.998067,0.999911,1,0.994578,0.988111,0.989467,0.999422,0.999956,1,0.995556] area_under_roc_curve 0.995997 [0.998356,0.988889,0.999333,0.994533,0.997867,0.998133,0.995111,0.9936,0.997822,0.996533,0.9972,0.999378,0.996756,0.9972,0.999956,0.995867,0.998578,0.999733,0.979689,0.9968,0.9948,0.9916,0.9964,1,0.999467,0.992311] area_under_roc_curve 0.995633 [0.971133,0.997733,0.999733,0.998489,0.997467,0.995489,0.9732,0.999156,0.999822,0.999289,0.997644,0.999289,0.997467,0.994933,0.996978,0.997733,0.999778,0.999867,0.997933,0.9956,0.988222,0.994133,0.998178,0.999956,1,0.997244] area_under_roc_curve 0.996391 [0.994,0.994711,1,0.995867,0.994489,0.995733,0.995956,0.995578,0.999822,0.998889,0.998356,0.998356,0.9972,0.991156,1,0.996444,0.999111,0.999867,0.997467,0.998489,0.998133,0.9924,0.999378,0.999689,0.975244,0.999822] area_under_roc_curve 0.995109 [0.995022,0.994578,1,0.984711,0.986178,0.998844,0.990667,0.998622,1,0.9952,0.998756,0.999733,0.996711,0.996756,0.996267,0.990267,0.995067,0.999778,0.999956,0.992489,0.977022,0.998089,0.9992,0.999689,0.999333,0.989911] area_under_roc_curve 0.99543 [0.973089,0.993822,0.999822,0.995467,0.993556,0.997244,0.997733,0.999467,0.998178,0.999644,0.998444,1,0.994089,0.983,0.999511,0.996489,0.999467,0.999911,0.999556,0.988267,1,0.9924,0.998844,1,0.999778,0.9834] area_under_roc_curve 0.994926 [0.9984,0.996444,0.999333,0.994222,0.998444,0.997822,0.999244,0.9972,0.999822,0.998578,0.997778,0.999644,0.990756,0.994889,1,0.947978,0.9856,1,0.9992,0.988356,0.999422,0.987867,0.998356,0.999867,1,0.998844] area_under_roc_curve 0.995787 [0.978422,0.990267,0.999467,0.992044,0.995111,0.998133,0.994044,0.999956,0.999867,0.998844,0.997156,0.999822,0.996711,0.991467,0.999111,0.982933,0.9972,1,0.9996,0.995556,0.9992,0.987778,0.998222,0.999911,0.999911,0.999733] area_under_roc_curve 0.99453 [0.996,0.996222,0.999778,0.980178,0.988311,0.998356,0.968867,0.999956,0.999333,0.997822,0.996756,0.996311,0.995689,0.994089,1,0.9916,0.997911,0.999822,0.999689,0.993067,0.975222,0.993689,0.999778,0.999689,1,0.999644] area_under_roc_curve 0.994972 [0.998444,0.998089,0.991311,0.964467,0.999511,0.999911,0.991689,0.999244,0.999689,0.999067,0.999467,0.997467,0.995022,0.9932,0.998311,0.996533,0.998267,0.999822,0.979733,0.994756,0.987667,0.996844,0.996089,0.999911,1,0.994756] area_under_roc_curve 0.996744 [0.998089,0.999067,0.997556,0.994533,0.998311,0.9968,0.998622,0.996489,0.997778,0.996489,0.999422,0.998178,0.997022,0.995156,0.999956,0.998978,0.964333,0.999956,0.999333,0.996356,0.999289,0.995289,1,0.999956,0.999956,0.998444] area_under_roc_curve 0.996236 [0.972333,0.994489,0.999644,0.997422,0.997778,0.997778,0.9996,1,0.999733,0.998489,0.998356,0.998667,0.996622,0.989733,1,0.989156,0.999778,0.999867,0.999511,0.997111,0.999822,0.977133,0.999556,1,0.999778,0.999778] area_under_roc_curve 0.995366 [0.996756,0.990978,1,0.993333,0.995111,0.999822,0.995644,0.9996,0.999244,0.997422,0.992667,0.9996,0.994667,0.989378,0.999911,0.986,0.998711,0.999867,1,0.994222,0.998889,0.987511,0.970978,1,0.999822,0.999378] area_under_roc_curve 0.995964 [0.992844,0.9772,0.9992,0.997867,0.993378,0.999689,0.9976,0.999378,0.999867,0.983422,0.996622,1,0.985422,0.994622,0.999911,0.993378,0.998356,1,1,0.994933,0.999778,0.995111,0.997867,0.999333,1,0.999289] area_under_roc_curve 0.997708 [0.998222,0.999156,0.999111,0.995689,0.994933,0.999867,0.998178,0.999778,0.999067,0.998933,0.9996,0.995067,0.994533,0.996444,1,0.994311,0.996933,0.999778,0.999956,0.995244,0.999644,0.991378,0.9984,1,0.999822,0.996356] area_under_roc_curve 0.995512 [0.971222,0.9944,1,0.997956,0.999156,0.997244,0.976933,0.998267,1,0.998889,0.999689,0.9964,0.996444,0.985133,1,0.999156,0.996889,1,0.9992,0.994978,0.994022,0.9892,0.9988,1,1,0.999333] area_under_roc_curve 0.995566 [0.988756,0.984844,0.9996,0.988578,0.994,0.997689,0.998756,0.999778,0.999822,0.995911,0.9968,0.998267,0.998,0.997067,0.999333,0.995511,0.998711,0.999822,0.999067,0.998133,0.998933,0.984667,0.999111,0.999778,0.976356,0.997422] area_under_roc_curve 0.995646 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[0.969715,0.999377,0.999777,0.995817,0.9917,0.999494,0.99951,0.999688,0.999243,0.997641,0.997463,0.999866,0.996173,0.987272,0.999555,0.979973,0.995327,0.999955,0.999822,0.989275,0.999021,0.992212,0.997686,0.999733,1,0.995728] area_under_roc_curve 0.996295 [0.993413,0.999377,0.999777,0.98142,0.998131,0.99692,0.997908,1,0.999911,0.999288,0.991366,0.99911,0.996262,0.976702,0.999911,0.994215,0.998932,1,0.999466,0.992345,0.999154,0.993458,0.998264,1,0.998798,0.999555] area_under_roc_curve 0.996778 [0.997018,0.994749,0.999599,0.992256,0.993947,0.999494,0.99822,0.995016,0.999822,0.999243,0.992879,0.998576,0.992034,0.990877,0.997463,0.995817,0.999555,0.999644,0.997686,0.993369,0.99822,0.99239,0.999332,1,0.99951,0.999599] area_under_roc_curve 0.997206 [0.993191,0.998487,1,0.999288,0.997107,0.998437,0.994304,0.999955,0.999644,0.999021,0.998487,0.999243,0.995906,0.996262,0.999733,0.973031,0.999421,0.999866,0.999466,0.997285,0.999332,0.994571,0.999466,1,0.999466,0.99644] area_under_roc_curve 0.996044 [0.986604,0.999154,0.999243,0.997063,0.991856,0.999448,0.952514,0.999911,0.999911,0.998798,0.998798,0.999288,0.994126,0.996306,1,0.995995,0.998042,1,0.999955,0.998576,0.996573,0.998531,0.998976,0.999866,0.999911,0.997819] area_under_roc_curve 0.997078 [0.999065,0.992345,0.997797,0.996395,0.989675,0.999288,0.99862,0.999955,0.999332,0.998042,0.998576,0.998264,0.990161,0.994482,1,0.995461,0.996929,1,0.999911,0.999599,0.99862,0.994793,0.999599,1,0.999243,0.98765] area_under_roc_curve 0.994514 [0.994615,0.998709,0.978994,0.994971,0.987939,0.998299,0.976124,0.997152,0.999377,0.99644,0.980174,0.998398,0.997819,0.993458,0.999377,0.988162,0.999733,0.999955,0.998887,0.99239,0.999955,0.991277,0.999466,1,0.997508,0.998309] area_under_roc_curve 0.995129 [0.998887,0.998398,0.978883,0.997152,0.988429,0.997908,0.998487,0.998932,0.999332,0.990788,0.995995,0.998843,0.996046,0.9919,0.999599,0.992924,0.999866,0.999866,0.99951,0.99328,0.999599,0.969537,0.99733,0.999599,0.999955,0.992345] area_under_roc_curve 0.996356 [0.997997,0.988919,0.999955,0.991678,0.989809,0.999288,0.994615,0.990654,0.999421,0.997196,0.997908,0.998887,0.995034,0.996484,0.999822,0.990966,0.998754,0.999733,1,0.988807,0.996306,0.998976,0.994971,0.999466,0.999911,0.999644] area_under_roc_curve 0.996058 [0.979217,0.997686,0.999555,0.98883,0.992301,0.999733,0.997641,1,0.999866,0.993191,0.997775,0.997508,0.992736,0.981575,1,0.99684,0.999955,0.999822,0.998887,0.991589,0.998976,0.994927,0.999466,1,0.999866,0.999466] area_under_roc_curve 0.997186 [0.997374,0.998843,0.998932,0.995639,0.997508,0.995678,0.992523,0.999688,0.998976,0.988696,0.995861,0.999955,0.997018,0.994126,0.999822,0.999021,0.991455,0.999688,0.999288,0.996262,0.999866,0.994393,0.997641,1,0.999866,0.998665] area_under_roc_curve 0.996314 [0.998398,0.991233,0.999688,0.999466,0.995639,0.998805,0.970271,0.999822,0.999688,0.99822,0.992746,0.997508,0.996262,0.991099,0.999866,0.993992,0.999644,0.999777,0.999644,0.994437,0.999688,0.989497,0.999599,0.999777,1,0.999466] area_under_roc_curve 0.993763 [0.997775,0.995416,0.998687,0.99012,0.995861,0.996618,0.99911,0.99951,0.993191,0.98814,0.991678,0.999288,0.989977,0.987806,0.999199,0.996395,0.999644,0.999822,0.999555,0.996529,0.99348,0.988807,0.997107,0.999644,0.976391,0.967957] 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 0.893553 [0.892308,0.763636,0.870968,0.818182,0.774194,0.931034,0.885246,0.983051,0.931034,0.95082,0.9,0.966667,0.847458,0.847458,0.966667,0.807018,0.912281,0.95082,0.983607,0.827586,0.888889,0.830769,0.857143,0.967742,0.965517,0.912281] f_measure 0.911864 [0.885246,0.870968,1,0.903226,0.852459,0.912281,0.861538,0.949153,0.947368,0.9,0.877193,0.920635,0.847458,0.933333,0.947368,0.877193,0.912281,0.983607,0.983051,0.827586,0.861538,0.870968,0.935484,0.95082,0.966667,0.931034] f_measure 0.906825 [0.965517,0.825397,0.952381,0.966667,0.912281,0.965517,0.866667,0.983051,0.966667,0.861538,0.852459,0.967742,0.807018,0.885246,0.965517,0.75,0.9,1,0.983607,0.807018,0.872727,0.793651,0.923077,0.983607,0.947368,0.872727] f_measure 0.899568 [0.95082,0.821429,0.949153,0.920635,0.885246,0.903226,0.865672,1,0.881356,0.866667,0.878788,0.95082,0.952381,0.851852,0.966667,0.827586,0.766667,0.935484,0.931034,0.851852,0.847458,0.786885,0.933333,0.983051,0.947368,0.933333] f_measure 0.902394 [0.861538,0.785714,0.947368,0.885246,0.785714,0.83871,0.857143,0.966667,1,0.885246,0.866667,0.888889,0.852459,0.872727,0.966667,0.847458,0.966667,1,0.928571,0.918033,0.920635,0.852459,0.966667,0.935484,0.965517,0.9] f_measure 0.919297 [0.870968,0.847458,0.983051,0.933333,0.915254,0.933333,0.95082,0.965517,0.885246,0.878788,0.827586,0.966667,0.862069,0.881356,1,0.885246,0.896552,0.983607,0.965517,0.915254,0.95082,0.882353,0.935484,1,0.896552,0.888889] f_measure 0.893591 [0.935484,0.819672,0.95082,0.892308,0.693878,0.931034,0.835821,0.966667,0.949153,0.807018,0.857143,0.918033,0.866667,0.885246,0.949153,0.847458,0.857143,0.966667,0.966667,0.915254,0.896552,0.865672,0.885246,0.952381,0.933333,0.888889] f_measure 0.915434 [0.918033,0.806452,1,0.9,0.842105,0.933333,0.847458,1,0.983051,0.852459,0.857143,0.983607,0.847458,0.866667,0.983051,0.8,0.813559,0.983607,0.935484,0.90625,0.949153,0.877193,0.983051,0.983051,0.983607,0.965517] f_measure 0.893507 [0.903226,0.833333,0.933333,0.920635,0.852459,0.825397,0.830769,0.912281,0.915254,0.857143,0.866667,0.966667,0.847458,0.862069,0.949153,0.847458,0.896552,0.966667,0.862069,0.821429,0.9375,0.857143,0.9,0.935484,1,0.931034] f_measure 0.916954 [0.966667,0.830769,0.965517,0.833333,0.852459,0.9,0.903226,0.983051,0.983051,0.920635,0.862069,0.965517,0.896552,0.866667,0.983607,0.862069,0.95082,1,0.915254,0.896552,0.870968,0.833333,0.896552,0.983607,0.935484,0.983051] f_measure 0.915101 [0.878788,0.83871,0.983607,0.918033,0.888889,0.935484,0.95082,0.966667,0.9,0.869565,0.830189,0.952381,0.881356,0.885246,0.949153,0.847458,0.949153,0.966667,0.931034,0.862069,0.933333,0.830189,0.949153,0.983051,0.983051,0.928571] f_measure 0.903786 [0.861538,0.83871,0.933333,0.918033,0.807018,0.918033,0.912281,0.965517,0.967742,0.857143,0.814815,0.95082,0.813559,0.806452,0.983051,0.83871,0.915254,0.983051,0.949153,0.9,0.935484,0.813559,0.933333,1,0.931034,0.95082] f_measure 0.887772 [0.847458,0.8,0.918033,0.9,0.827586,0.952381,0.825397,0.949153,0.881356,0.967742,0.983607,0.920635,0.792453,0.84375,0.912281,0.77193,0.931034,0.896552,0.965517,0.852459,0.966667,0.774194,0.95082,0.933333,0.967742,0.75] f_measure 0.911329 [0.892308,0.852459,0.912281,0.827586,0.745763,0.949153,0.918033,0.949153,0.966667,0.920635,0.892857,0.983607,0.885246,0.827586,0.983051,0.870968,0.983607,0.965517,0.966667,0.881356,0.918033,0.875,0.881356,1,0.983607,0.862069] f_measure 0.896964 [0.903226,0.847458,0.933333,0.823529,0.833333,0.892857,0.866667,0.935484,0.9,0.785714,0.90625,0.918033,0.885246,0.866667,0.933333,0.814815,0.896552,0.949153,0.95082,0.892857,0.9375,0.903226,0.915254,0.95082,0.966667,0.912281] f_measure 0.88019 [0.84375,0.835821,0.915254,0.881356,0.830189,0.877193,0.903226,0.920635,0.931034,0.833333,0.842105,0.966667,0.692308,0.75,0.966667,0.793103,0.885246,0.966667,0.966667,0.885246,0.835821,0.83871,0.842105,0.967742,0.983051,0.931034] f_measure 0.903748 [0.918033,0.821429,0.947368,0.875,0.779661,0.931034,0.952381,0.965517,0.931034,0.885246,0.918033,0.933333,0.847458,0.885246,0.935484,0.793103,0.935484,0.935484,0.983051,0.903226,0.933333,0.78125,0.928571,0.9375,0.983051,0.857143] f_measure 0.922809 [0.882353,0.885246,0.983051,0.877193,0.933333,0.95082,0.903226,0.983051,0.9,0.935484,0.872727,0.983051,0.896552,0.966667,0.983607,0.807018,1,0.947368,0.95082,0.847458,0.909091,0.892308,0.872727,0.966667,0.966667,0.896552] f_measure 0.911692 [0.935484,0.8125,0.933333,0.807018,0.807018,0.933333,0.9,0.983051,0.965517,0.885246,0.915254,0.967742,0.881356,0.918033,0.965517,0.847458,0.888889,0.983607,0.966667,0.892857,0.881356,0.8,0.966667,0.983607,0.949153,0.933333] f_measure 0.919163 [0.857143,0.888889,0.95082,0.918033,0.915254,0.967742,0.915254,0.965517,0.95082,0.870968,0.933333,0.931034,0.866667,0.918033,0.95082,0.852459,0.920635,0.949153,0.983051,0.915254,0.947368,0.787879,0.967742,0.966667,1,0.807692] f_measure 0.910477 [0.852941,0.877193,0.983607,0.807018,0.903226,0.918033,0.875,0.983051,0.918033,0.896552,0.9,0.933333,0.896552,0.931034,0.967742,0.842105,0.931034,0.931034,0.931034,0.852459,0.920635,0.848485,0.896552,1,0.966667,0.909091] f_measure 0.905329 [0.9,0.912281,0.967742,0.875,0.847458,0.920635,0.881356,0.95082,0.966667,0.903226,0.870968,0.95082,0.814815,0.84375,0.949153,0.847458,0.947368,0.95082,0.931034,0.8,0.931034,0.8,0.931034,0.983051,1,0.862069] f_measure 0.898783 [0.852459,0.811594,0.983051,0.892857,0.777778,0.833333,0.862069,0.949153,0.966667,0.903226,0.881356,0.918033,0.852459,0.793103,0.983051,0.833333,0.918033,0.966667,0.881356,0.918033,0.95082,0.875,0.933333,0.95082,0.915254,0.965517] f_measure 0.899223 [0.870968,0.84375,0.967742,0.885246,0.777778,0.892857,0.885246,0.983051,0.967742,0.833333,0.915254,0.918033,0.821429,0.861538,0.918033,0.8,0.903226,0.966667,0.967742,0.885246,0.915254,0.875,0.949153,0.966667,0.896552,0.912281] f_measure 0.885726 [0.933333,0.745763,0.933333,0.862069,0.745763,0.915254,0.885246,0.966667,0.9,0.865672,0.833333,0.983607,0.740741,0.786885,0.966667,0.9,0.912281,0.966667,0.966667,0.819672,0.967742,0.727273,0.903226,1,0.949153,0.851852] f_measure 0.902405 [0.952381,0.830769,0.949153,0.833333,0.848485,0.866667,0.949153,0.965517,0.952381,0.878788,0.866667,0.983051,0.857143,0.933333,1,0.727273,0.928571,0.947368,0.918033,0.827586,0.952381,0.766667,0.885246,0.966667,0.983051,0.892857] f_measure 0.890584 [0.870968,0.774194,0.931034,0.872727,0.833333,0.95082,0.870968,0.966667,0.967742,0.918033,0.852459,0.935484,0.8125,0.862069,0.965517,0.7,0.933333,0.983051,0.965517,0.777778,0.9375,0.724138,0.862069,0.983607,0.983051,0.920635] f_measure 0.886603 [0.866667,0.903226,0.933333,0.825397,0.872727,0.918033,0.754098,0.95082,0.915254,0.885246,0.827586,0.933333,0.786885,0.793651,1,0.83871,0.885246,0.933333,0.965517,0.741935,0.881356,0.827586,0.931034,0.933333,1,0.947368] f_measure 0.910378 [0.9,0.949153,0.912281,0.847458,0.931034,0.983051,0.84375,0.949153,0.966667,0.892308,0.949153,0.918033,0.77193,0.870968,0.965517,0.83871,0.931034,0.967742,0.95082,0.821429,0.888889,0.875,0.881356,0.983051,1,0.881356] f_measure 0.908026 [0.892308,0.918033,0.931034,0.918033,0.9,0.903226,0.870968,0.931034,0.912281,0.870968,0.947368,0.933333,0.847458,0.827586,0.983607,0.852459,0.896552,0.983607,0.931034,0.881356,0.903226,0.793651,0.95082,0.965517,0.966667,0.896552] f_measure 0.906251 [0.9,0.84375,0.949153,0.896552,0.857143,0.888889,0.909091,0.983051,0.983051,0.866667,0.888889,0.966667,0.833333,0.701754,1,0.833333,0.933333,0.983607,0.896552,0.909091,0.9375,0.806452,0.949153,0.983607,0.933333,0.928571] f_measure 0.900559 [0.861538,0.819672,0.965517,0.888889,0.833333,0.983051,0.83871,0.95082,0.931034,0.918033,0.827586,0.983051,0.847458,0.847458,0.983051,0.813559,0.881356,0.983607,0.967742,0.793651,0.920635,0.8,0.915254,1,0.966667,0.892857] f_measure 0.902607 [0.835821,0.885246,0.931034,0.833333,0.813559,0.947368,0.903226,0.949153,0.935484,0.819672,0.821429,0.983607,0.813559,0.847458,0.983051,0.9,0.896552,0.983051,1,0.852459,0.9375,0.833333,0.912281,0.95082,0.967742,0.931034] f_measure 0.907626 [0.949153,0.933333,0.877193,0.915254,0.888889,0.966667,0.84507,0.983607,0.931034,0.920635,0.915254,0.9,0.83871,0.847458,0.95082,0.8,0.928571,0.983607,0.983607,0.851852,0.920635,0.786885,0.892857,1,0.95082,0.836364] f_measure 0.926912 [0.903226,0.857143,0.983607,0.912281,0.915254,0.966667,0.935484,0.965517,1,0.877193,0.935484,0.949153,0.806452,0.827586,0.983051,0.920635,0.933333,1,0.983607,0.915254,0.881356,0.813559,0.95082,0.983051,1,0.9] f_measure 0.886987 [0.885246,0.730159,0.912281,0.83871,0.727273,0.870968,0.885246,0.949153,0.949153,0.9,0.9,0.9,0.857143,0.881356,0.918033,0.852459,0.933333,0.949153,0.896552,0.857143,0.888889,0.793103,0.935484,0.966667,0.95082,0.933333] f_measure 0.906506 [0.90625,0.835821,0.933333,0.857143,0.872727,0.915254,0.892308,0.983051,0.95082,0.862069,0.842105,0.983051,0.842105,0.833333,0.983051,0.9,0.885246,0.949153,0.935484,0.847458,0.90625,0.857143,0.915254,0.966667,0.983051,0.931034] f_measure 0.896596 [0.852459,0.78125,0.949153,0.870968,0.779661,0.949153,0.881356,0.949153,0.966667,0.847458,0.877193,0.933333,0.813559,0.847458,0.966667,0.912281,0.888889,0.983051,0.95082,0.866667,0.920635,0.787879,0.966667,0.983607,0.949153,0.836364] f_measure 0.915756 [0.931034,0.931034,0.912281,0.875,0.833333,0.923077,0.90625,1,0.918033,0.852459,0.931034,0.966667,0.83871,0.918033,0.933333,0.875,0.909091,0.966667,0.947368,0.933333,0.931034,0.915254,0.857143,0.983051,0.892857,0.928571] f_measure 0.883732 [0.9,0.787879,0.933333,0.807018,0.701754,0.872727,0.852459,0.965517,0.966667,0.866667,0.825397,0.952381,0.842105,0.847458,0.949153,0.819672,0.870968,1,0.967742,0.857143,0.9,0.707692,0.983051,0.920635,0.983051,0.896552] f_measure 0.898903 [0.875,0.870968,0.915254,0.861538,0.734694,0.866667,0.935484,0.949153,0.952381,0.918033,0.862069,1,0.833333,0.83871,1,0.885246,0.935484,0.983051,0.892857,0.8125,0.920635,0.875,0.851852,0.966667,0.983051,0.851852] f_measure 0.894504 [0.881356,0.825397,0.935484,0.793103,0.842105,0.90625,0.848485,0.966667,0.95082,0.836364,0.935484,0.967742,0.851852,0.90625,0.983051,0.745763,0.9,0.966667,0.892857,0.852459,0.885246,0.8,0.966667,0.983607,0.965517,0.867925] f_measure 0.896417 [0.870968,0.861538,0.949153,0.852459,0.872727,0.952381,0.918033,0.95082,1,0.727273,0.644068,0.935484,0.825397,0.836364,0.967742,0.862069,0.877193,1,0.965517,0.885246,0.888889,0.885246,0.877193,0.967742,1,0.933333] f_measure 0.896159 [0.90625,0.793651,0.983051,0.825397,0.763636,0.918033,0.870968,1,0.918033,0.920635,0.821429,0.95082,0.857143,0.83871,0.965517,0.8125,0.918033,0.949153,0.947368,0.857143,0.918033,0.786885,0.912281,0.983607,0.95082,0.931034] f_measure 0.907184 [0.928571,0.870968,0.966667,0.866667,0.862069,0.952381,0.833333,0.983051,0.933333,0.885246,0.877193,0.983051,0.866667,0.830769,0.967742,0.793651,0.885246,0.965517,0.983607,0.852459,0.947368,0.825397,0.947368,0.966667,0.915254,0.896552] f_measure 0.915505 [0.9,0.866667,0.935484,0.931034,0.830769,0.966667,0.967742,0.966667,0.965517,0.807018,0.852459,1,0.866667,0.847458,1,0.819672,0.862069,0.983607,0.949153,0.9,0.896552,0.875,0.933333,1,0.983051,0.896552] f_measure 0.897811 [0.857143,0.861538,0.892857,0.786885,0.866667,0.888889,0.966667,0.966667,0.949153,0.847458,0.84375,0.966667,0.793103,0.83871,0.983607,0.819672,0.872727,1,0.947368,0.852459,0.966667,0.847458,0.896552,0.95082,0.983051,0.896552] f_measure 0.899795 [0.90625,0.888889,0.935484,0.84375,0.847458,0.920635,0.931034,0.909091,0.933333,0.830189,0.885246,0.90625,0.792453,0.830769,0.966667,0.774194,0.9,0.983051,0.931034,0.918033,0.915254,0.847458,0.918033,0.983607,0.947368,0.949153] f_measure 0.90655 [0.95082,0.888889,0.983607,0.877193,0.872727,0.95082,0.875,1,0.933333,0.819672,0.83871,0.967742,0.819672,0.827586,0.965517,0.785714,0.84375,0.947368,0.965517,0.881356,0.933333,0.818182,0.983051,1,0.983607,0.857143] f_measure 0.916912 [0.892308,0.866667,0.949153,0.881356,0.915254,0.875,0.885246,1,0.967742,0.875,0.885246,0.966667,0.862069,0.931034,0.967742,0.754098,0.912281,0.965517,0.857143,0.857143,1,0.931034,0.892857,1,1,0.949153] f_measure 0.885231 [0.933333,0.870968,0.918033,0.813559,0.763636,0.857143,0.888889,0.967742,0.983607,0.885246,0.852459,0.885246,0.807018,0.933333,0.95082,0.736842,0.847458,1,0.903226,0.866667,0.933333,0.738462,0.933333,0.95082,0.947368,0.847458] f_measure 0.874995 [0.915254,0.80597,0.949153,0.852459,0.862069,0.857143,0.758621,0.947368,0.965517,0.766667,0.852459,0.952381,0.833333,0.847458,0.966667,0.830769,0.852459,0.983607,0.9,0.872727,0.949153,0.677966,0.851852,0.816901,0.966667,0.915254] f_measure 0.902468 [0.866667,0.83871,0.918033,0.786885,0.833333,0.885246,0.965517,0.966667,0.931034,0.912281,0.865672,0.95082,0.866667,0.866667,0.983051,0.833333,0.918033,0.967742,0.912281,0.896552,0.935484,0.75,0.931034,0.983607,0.983607,0.915254] f_measure 0.899024 [0.813559,0.866667,0.983607,0.881356,0.892857,0.857143,0.95082,0.933333,0.952381,0.896552,0.83871,0.95082,0.813559,0.881356,0.965517,0.833333,0.918033,0.965517,0.912281,0.903226,0.861538,0.774194,0.903226,0.966667,0.965517,0.892857] f_measure 0.891516 [0.848485,0.813559,0.949153,0.8,0.77193,0.95082,0.90625,0.983051,0.896552,0.807018,0.825397,0.935484,0.77193,0.847458,0.933333,0.870968,0.918033,0.966667,0.949153,0.95082,0.903226,0.83871,0.881356,0.983607,0.983607,0.892857] f_measure 0.894779 [0.918033,0.8125,0.918033,0.833333,0.793103,0.933333,0.818182,1,0.9,0.881356,0.933333,0.915254,0.827586,0.875,0.95082,0.827586,0.95082,0.967742,0.918033,0.877193,0.95082,0.793651,0.965517,0.983051,0.912281,0.807692] f_measure 0.895125 [0.903226,0.84058,0.9,0.896552,0.792453,0.903226,0.870968,0.949153,0.90625,0.861538,0.881356,0.983607,0.892857,0.866667,0.966667,0.842105,0.909091,0.949153,0.947368,0.881356,0.952381,0.742857,0.918033,0.966667,0.949153,0.8] f_measure 0.907002 [0.915254,0.881356,0.965517,0.888889,0.745763,0.861538,0.915254,0.931034,0.95082,0.869565,0.912281,0.947368,0.819672,0.833333,0.95082,0.888889,0.872727,0.933333,0.928571,0.965517,0.95082,0.892308,0.933333,0.966667,0.949153,0.912281] f_measure 0.909158 [0.892308,0.813559,0.983051,0.918033,0.852459,0.983607,0.888889,1,0.870968,0.881356,0.806452,0.965517,0.877193,0.866667,0.935484,0.83871,0.933333,0.915254,0.965517,0.928571,0.967742,0.793103,0.931034,0.983607,0.949153,0.896552] f_measure 0.900779 [0.918033,0.857143,0.966667,0.923077,0.793651,0.983607,0.848485,0.95082,0.903226,0.830189,0.875,0.952381,0.792453,0.83871,0.965517,0.896552,0.9,0.95082,0.966667,0.866667,0.888889,0.819672,0.965517,0.965517,0.949153,0.851852] f_measure 0.895806 [0.935484,0.83871,0.947368,0.915254,0.736842,0.903226,0.888889,0.965517,0.875,0.807018,0.885246,0.983051,0.813559,0.9,0.909091,0.724138,0.918033,0.95082,0.983051,0.9375,0.918033,0.825397,0.935484,0.966667,0.965517,0.862069] f_measure 0.897132 [0.842105,0.779661,0.983607,0.885246,0.733333,0.935484,0.920635,0.965517,0.949153,0.965517,0.90625,0.95082,0.912281,0.8,0.918033,0.825397,0.918033,0.966667,0.983051,0.9,0.862069,0.678571,0.896552,1,1,0.847458] f_measure 0.892673 [0.878788,0.885246,0.965517,0.852459,0.721311,0.857143,0.848485,0.983051,0.862069,0.827586,0.83871,0.95082,0.851852,0.819672,0.965517,0.821429,0.931034,0.888889,0.931034,0.866667,0.966667,0.861538,0.949153,0.9375,1,0.947368] f_measure 0.917969 [0.90625,0.814815,0.983607,0.9,0.903226,0.949153,0.903226,0.928571,0.933333,0.949153,0.918033,0.935484,0.787879,0.836364,0.966667,0.933333,0.915254,0.966667,0.95082,0.885246,0.967742,0.870968,0.866667,1,0.947368,0.947368] f_measure 0.896217 [0.865672,0.912281,0.933333,0.903226,0.862069,0.933333,0.813559,0.928571,0.915254,0.774194,0.785714,0.966667,0.857143,0.875,0.966667,0.848485,0.870968,0.95082,0.949153,0.793103,0.920635,0.885246,0.892857,1,0.966667,0.931034] f_measure 0.892723 [0.885246,0.830769,0.966667,0.852459,0.872727,0.920635,0.885246,0.933333,0.935484,0.779661,0.833333,0.983051,0.870968,0.807018,0.967742,0.8,0.885246,0.965517,0.949153,0.912281,0.9,0.78125,0.847458,0.95082,0.947368,0.947368] f_measure 0.910466 [0.931034,0.793103,0.965517,0.892308,0.745763,0.935484,0.835821,0.983607,0.931034,0.875,0.758621,1,0.786885,0.877193,0.983607,0.881356,0.95082,1,1,0.881356,0.965517,0.866667,0.935484,0.983051,0.965517,0.947368] f_measure 0.888467 [0.847458,0.745763,0.928571,0.819672,0.77193,0.949153,0.84375,0.983051,0.949153,0.857143,0.852459,0.952381,0.857143,0.827586,0.933333,0.8,0.947368,0.983607,0.966667,0.857143,0.878788,0.8125,0.918033,0.95082,0.933333,0.933333] f_measure 0.88807 [0.888889,0.848485,0.949153,0.833333,0.730769,0.857143,0.852459,0.965517,0.935484,0.830189,0.830769,0.935484,0.847458,0.827586,0.966667,0.813559,0.983051,0.949153,0.918033,0.875,1,0.738462,0.949153,0.903226,0.983607,0.877193] f_measure 0.901734 [0.920635,0.827586,0.915254,0.95082,0.836364,0.915254,0.918033,0.949153,0.9,0.885246,0.875,0.966667,0.814815,0.875,0.966667,0.703704,0.903226,0.95082,0.966667,0.915254,0.966667,0.787879,0.885246,0.983607,0.965517,0.9] f_measure 0.907652 [0.885246,0.833333,0.966667,0.833333,0.857143,0.967742,0.918033,0.966667,0.952381,0.862069,0.903226,0.935484,0.949153,0.912281,0.965517,0.861538,0.827586,0.965517,0.966667,0.847458,0.918033,0.761905,0.912281,0.966667,0.949153,0.915254] f_measure 0.909953 [0.892308,0.903226,0.888889,0.866667,0.842105,0.903226,0.912281,0.983607,0.967742,0.83871,0.885246,0.935484,0.915254,0.912281,0.965517,0.836364,0.881356,1,0.931034,0.90625,0.952381,0.835821,0.881356,0.983607,0.965517,0.872727] f_measure 0.894173 [0.892308,0.848485,0.931034,0.90625,0.857143,0.885246,0.761905,0.983607,0.949153,0.877193,0.918033,1,0.779661,0.852459,1,0.75,0.852459,0.966667,0.965517,0.827586,0.947368,0.727273,0.933333,0.95082,0.966667,0.918033] f_measure 0.896566 [0.875,0.724638,0.9,0.862069,0.769231,0.9375,0.877193,0.965517,0.915254,0.885246,0.819672,1,0.892857,0.881356,0.966667,0.842105,0.918033,0.949153,0.931034,0.857143,0.933333,0.84375,0.949153,0.933333,1,0.881356] f_measure 0.897888 [0.888889,0.888889,0.966667,0.861538,0.892857,0.888889,0.852459,0.965517,0.95082,0.949153,0.892308,0.95082,0.777778,0.852459,0.931034,0.793103,0.763636,0.918033,0.918033,0.861538,0.862069,0.881356,0.920635,0.967742,0.983051,0.965517] f_measure 0.899433 [0.888889,0.881356,0.965517,0.903226,0.75,0.928571,0.769231,0.983051,0.888889,0.866667,0.915254,0.983607,0.75,0.786885,0.965517,0.83871,0.885246,0.983051,0.983051,0.912281,0.966667,0.842105,0.896552,0.95082,0.983051,0.918033] f_measure 0.892208 [0.918033,0.825397,0.983051,0.875,0.847458,0.872727,0.852459,0.949153,0.912281,0.892857,0.896552,0.888889,0.819672,0.933333,0.881356,0.857143,0.90625,0.949153,0.9,0.9,0.866667,0.733333,0.9,0.983607,0.952381,0.9] f_measure 0.907977 [0.952381,0.842105,0.933333,0.852459,0.9,0.862069,0.966667,0.983051,0.95082,0.95082,0.952381,0.967742,0.833333,0.821429,0.949153,0.862069,0.923077,0.983607,0.912281,0.949153,0.920635,0.8125,0.827586,0.9375,0.928571,0.830189] f_measure 0.883111 [0.878788,0.807018,0.912281,0.813559,0.757576,0.872727,0.949153,0.933333,0.933333,0.835821,0.825397,0.967742,0.807692,0.847458,0.983051,0.785714,0.807692,1,0.967742,0.866667,0.933333,0.757576,0.923077,0.967742,0.931034,0.892857] f_measure 0.915362 [0.920635,0.852459,1,0.857143,0.877193,0.915254,0.847458,0.983051,0.918033,0.888889,0.881356,1,0.870968,0.852459,0.983051,0.866667,0.9,0.949153,0.928571,0.842105,0.933333,0.9,0.881356,0.983607,1,0.966667] f_measure 0.892916 [0.923077,0.852459,0.949153,0.870968,0.821429,0.881356,0.836364,0.983607,0.892857,0.825397,0.872727,0.983607,0.75,0.83871,1,0.825397,0.918033,0.95082,0.965517,0.862069,0.9,0.830769,0.881356,0.952381,0.95082,0.896552] f_measure 0.897093 [0.920635,0.766667,0.872727,0.833333,0.833333,0.928571,0.935484,0.965517,0.983607,0.819672,0.825397,0.912281,0.758621,0.833333,0.967742,0.842105,0.967742,0.983051,0.935484,0.881356,0.983607,0.848485,0.918033,0.966667,0.949153,0.892857] f_measure 0.903897 [0.949153,0.857143,0.915254,0.806452,0.763636,0.877193,0.870968,1,0.95082,0.90625,0.931034,0.933333,0.825397,0.83871,0.965517,0.819672,0.95082,0.965517,0.915254,0.931034,0.9375,0.857143,0.915254,1,0.965517,0.851852] f_measure 0.906122 [0.9,0.857143,1,0.825397,0.847458,0.931034,0.888889,1,0.928571,0.813559,0.833333,0.95082,0.763636,0.83871,0.983051,0.852459,0.918033,0.967742,0.965517,0.90625,0.935484,0.83871,0.965517,0.952381,0.967742,0.928571] f_measure 0.897096 [0.885246,0.776119,0.949153,0.806452,0.741935,0.885246,0.935484,1,0.95082,0.857143,0.793103,0.90625,0.847458,0.915254,0.947368,0.793103,0.965517,0.965517,0.912281,0.896552,0.966667,0.8,0.949153,0.966667,0.983051,0.928571] f_measure 0.905987 [0.983607,0.872727,0.983607,0.825397,0.785714,0.915254,0.862069,0.95082,0.931034,0.885246,0.95082,0.967742,0.9,0.888889,0.931034,0.825397,0.866667,0.983607,0.912281,0.8125,0.9375,0.857143,0.9,0.966667,0.983051,0.877193] f_measure 0.90812 [0.870968,0.9,0.965517,0.888889,0.896552,0.881356,0.872727,0.966667,0.966667,0.84058,0.896552,0.935484,0.862069,0.866667,0.966667,0.852459,0.866667,0.983051,0.947368,0.903226,0.915254,0.833333,0.9,0.95082,0.947368,0.933333] f_measure 0.897029 [0.903226,0.892308,0.95082,0.881356,0.792453,0.965517,0.909091,0.966667,0.933333,0.836364,0.857143,0.967742,0.847458,0.862069,0.928571,0.774194,0.881356,0.967742,0.983051,0.833333,0.931034,0.738462,0.903226,0.966667,1,0.851852] f_measure 0.896463 [0.8,0.852941,0.966667,0.830769,0.896552,0.915254,0.896552,0.983607,0.966667,0.920635,0.851852,0.95082,0.785714,0.787879,0.983051,0.852459,0.912281,0.983051,0.931034,0.847458,0.903226,0.758621,0.888889,0.983051,0.947368,0.912281] f_measure 0.903307 [0.835821,0.903226,0.949153,0.84375,0.76,0.918033,0.966667,0.983051,0.949153,0.935484,0.807018,0.949153,0.793103,0.774194,0.983051,0.842105,0.949153,0.95082,0.949153,0.866667,0.935484,0.793651,0.966667,1,0.966667,0.915254] f_measure 0.921539 [0.877193,0.881356,1,0.920635,0.857143,0.931034,0.892857,0.983051,0.966667,0.920635,0.881356,0.935484,0.793103,0.83871,0.966667,0.896552,0.933333,0.983607,0.966667,0.903226,0.95082,0.866667,0.949153,1,0.949153,0.915254] f_measure 0.909174 [0.966667,0.949153,0.95082,0.857143,0.888889,0.945455,0.761905,0.966667,0.95082,0.870968,0.870968,0.966667,0.766667,0.827586,0.983607,0.833333,0.870968,0.915254,0.983607,0.892857,0.915254,0.912281,0.912281,0.983607,0.967742,0.928571] f_measure 0.912411 [0.966667,0.8,0.928571,0.920635,0.83871,0.965517,0.903226,0.983051,0.918033,0.852459,0.920635,0.966667,0.792453,0.786885,0.95082,0.881356,0.935484,0.983051,0.967742,0.931034,0.918033,0.861538,0.935484,0.983051,0.896552,0.931034] f_measure 0.897303 [0.903226,0.90625,0.912281,0.806452,0.777778,0.888889,0.931034,0.966667,0.935484,0.786885,0.83871,0.918033,0.842105,0.861538,0.931034,0.857143,0.95082,0.965517,0.931034,0.877193,0.967742,0.847458,0.912281,0.966667,0.947368,0.9] f_measure 0.897924 [0.923077,0.912281,0.920635,0.852459,0.819672,0.909091,0.903226,0.966667,0.933333,0.90625,0.912281,0.935484,0.785714,0.881356,0.949153,0.813559,0.983051,0.966667,0.909091,0.77193,0.918033,0.825397,0.847458,0.966667,0.983607,0.846154] f_measure 0.912921 [0.84375,0.877193,0.983051,0.830769,0.862069,0.915254,0.915254,0.949153,0.935484,0.965517,0.861538,0.949153,0.821429,0.877193,0.965517,0.851852,0.935484,0.949153,1,0.847458,0.947368,0.888889,0.920635,0.920635,0.983607,0.935484] f_measure 0.912136 [0.875,0.892308,0.933333,0.9,0.807692,0.949153,0.888889,1,0.967742,0.877193,0.881356,0.966667,0.807018,0.77193,1,0.852459,0.983607,0.966667,0.935484,0.806452,0.90625,0.862069,0.983051,0.983051,0.965517,0.949153] f_measure 0.906125 [0.819672,0.933333,0.947368,0.933333,0.935484,0.877193,0.888889,0.952381,0.923077,0.827586,0.862069,0.933333,0.881356,0.806452,0.95082,0.881356,0.892857,0.947368,0.933333,0.870968,0.952381,0.793103,0.931034,1,0.965517,0.918033] f_measure 0.899404 [0.903226,0.862069,0.966667,0.892308,0.862069,0.892857,0.862069,0.966667,0.949153,0.852459,0.786885,0.933333,0.819672,0.836364,0.966667,0.779661,0.983051,0.952381,0.983051,0.833333,0.967742,0.786885,0.935484,0.9375,1,0.872727] f_measure 0.893579 [0.903226,0.779661,0.95082,0.866667,0.84375,0.896552,0.920635,0.933333,0.90625,0.833333,0.892857,0.918033,0.857143,0.852459,0.931034,0.852459,0.931034,0.947368,0.966667,0.896552,0.888889,0.852459,0.888889,0.935484,0.909091,0.877193] kappa 0.889333 kappa 0.908 kappa 0.902667 kappa 0.896 kappa 0.898667 kappa 0.916 kappa 0.890667 kappa 0.912 kappa 0.889333 kappa 0.913333 kappa 0.912 kappa 0.9 kappa 0.884 kappa 0.908 kappa 0.893333 kappa 0.876 kappa 0.9 kappa 0.92 kappa 0.908 kappa 0.916 kappa 0.906667 kappa 0.901333 kappa 0.894667 kappa 0.896 kappa 0.881333 kappa 0.898667 kappa 0.886667 kappa 0.881333 kappa 0.906667 kappa 0.904 kappa 0.902667 kappa 0.896 kappa 0.898667 kappa 0.904 kappa 0.924 kappa 0.882667 kappa 0.902667 kappa 0.892 kappa 0.912 kappa 0.878667 kappa 0.896 kappa 0.890667 kappa 0.893333 kappa 0.892 kappa 0.902667 kappa 0.912 kappa 0.893333 kappa 0.896 kappa 0.902667 kappa 0.913333 kappa 0.881333 kappa 0.869333 kappa 0.898667 kappa 0.894667 kappa 0.888 kappa 0.890667 kappa 0.890667 kappa 0.902667 kappa 0.905333 kappa 0.897333 kappa 0.892 kappa 0.893333 kappa 0.888 kappa 0.914667 kappa 0.892 kappa 0.888 kappa 0.906667 kappa 0.884 kappa 0.884 kappa 0.898667 kappa 0.903877 kappa 0.906547 kappa 0.890527 kappa 0.891861 kappa 0.894531 kappa 0.894531 kappa 0.887855 kappa 0.905212 kappa 0.878509 kappa 0.911887 kappa 0.889191 kappa 0.893196 kappa 0.899871 kappa 0.902542 kappa 0.891862 kappa 0.902542 kappa 0.903877 kappa 0.893196 kappa 0.891861 kappa 0.899872 kappa 0.918562 kappa 0.905211 kappa 0.909216 kappa 0.893197 kappa 0.894531 kappa 0.909216 kappa 0.909217 kappa 0.902541 kappa 0.895866 kappa 0.889191 kb_relative_information_score 681.965843 kb_relative_information_score 690.126845 kb_relative_information_score 686.913932 kb_relative_information_score 685.196609 kb_relative_information_score 692.875134 kb_relative_information_score 692.503506 kb_relative_information_score 682.310786 kb_relative_information_score 694.455266 kb_relative_information_score 681.109305 kb_relative_information_score 692.903022 kb_relative_information_score 690.59152 kb_relative_information_score 692.359344 kb_relative_information_score 681.596887 kb_relative_information_score 690.079139 kb_relative_information_score 682.250488 kb_relative_information_score 677.144279 kb_relative_information_score 690.318295 kb_relative_information_score 691.687385 kb_relative_information_score 687.547767 kb_relative_information_score 690.686234 kb_relative_information_score 683.459178 kb_relative_information_score 693.428568 kb_relative_information_score 685.010674 kb_relative_information_score 687.873614 kb_relative_information_score 685.315223 kb_relative_information_score 684.398923 kb_relative_information_score 680.874627 kb_relative_information_score 682.503917 kb_relative_information_score 687.594906 kb_relative_information_score 690.728478 kb_relative_information_score 691.980661 kb_relative_information_score 686.645638 kb_relative_information_score 688.018406 kb_relative_information_score 689.253029 kb_relative_information_score 695.404049 kb_relative_information_score 681.842242 kb_relative_information_score 687.811657 kb_relative_information_score 685.471231 kb_relative_information_score 691.580575 kb_relative_information_score 681.345932 kb_relative_information_score 686.406572 kb_relative_information_score 684.290869 kb_relative_information_score 690.099916 kb_relative_information_score 682.825317 kb_relative_information_score 687.766804 kb_relative_information_score 692.816895 kb_relative_information_score 685.738974 kb_relative_information_score 687.008036 kb_relative_information_score 690.429859 kb_relative_information_score 691.709735 kb_relative_information_score 687.614436 kb_relative_information_score 678.493029 kb_relative_information_score 687.887322 kb_relative_information_score 687.375987 kb_relative_information_score 688.866959 kb_relative_information_score 689.051614 kb_relative_information_score 685.507054 kb_relative_information_score 690.47763 kb_relative_information_score 692.871374 kb_relative_information_score 684.147375 kb_relative_information_score 686.010124 kb_relative_information_score 684.54419 kb_relative_information_score 687.521915 kb_relative_information_score 693.897085 kb_relative_information_score 691.802895 kb_relative_information_score 685.15198 kb_relative_information_score 692.158714 kb_relative_information_score 682.902488 kb_relative_information_score 686.230226 kb_relative_information_score 687.168904 kb_relative_information_score 690.001369 kb_relative_information_score 682.674175 kb_relative_information_score 684.783296 kb_relative_information_score 687.128503 kb_relative_information_score 689.622886 kb_relative_information_score 688.564036 kb_relative_information_score 682.621222 kb_relative_information_score 689.173765 kb_relative_information_score 676.409545 kb_relative_information_score 690.446815 kb_relative_information_score 684.556555 kb_relative_information_score 684.957463 kb_relative_information_score 684.337807 kb_relative_information_score 687.615067 kb_relative_information_score 681.673602 kb_relative_information_score 688.781846 kb_relative_information_score 688.37308 kb_relative_information_score 683.429343 kb_relative_information_score 686.755838 kb_relative_information_score 683.066283 kb_relative_information_score 696.235214 kb_relative_information_score 692.097506 kb_relative_information_score 689.085523 kb_relative_information_score 682.847736 kb_relative_information_score 681.582871 kb_relative_information_score 689.821963 kb_relative_information_score 691.043319 kb_relative_information_score 685.913533 kb_relative_information_score 686.735226 kb_relative_information_score 679.704829 mean_absolute_error 0.019069 mean_absolute_error 0.017745 mean_absolute_error 0.018231 mean_absolute_error 0.018746 mean_absolute_error 0.01771 mean_absolute_error 0.017952 mean_absolute_error 0.019027 mean_absolute_error 0.017355 mean_absolute_error 0.019109 mean_absolute_error 0.017668 mean_absolute_error 0.017988 mean_absolute_error 0.017863 mean_absolute_error 0.019196 mean_absolute_error 0.01843 mean_absolute_error 0.019059 mean_absolute_error 0.019583 mean_absolute_error 0.018327 mean_absolute_error 0.017557 mean_absolute_error 0.018463 mean_absolute_error 0.018025 mean_absolute_error 0.018695 mean_absolute_error 0.017666 mean_absolute_error 0.018437 mean_absolute_error 0.017849 mean_absolute_error 0.018364 mean_absolute_error 0.01856 mean_absolute_error 0.019159 mean_absolute_error 0.018827 mean_absolute_error 0.018167 mean_absolute_error 0.017931 mean_absolute_error 0.017943 mean_absolute_error 0.017655 mean_absolute_error 0.018252 mean_absolute_error 0.018237 mean_absolute_error 0.017106 mean_absolute_error 0.019324 mean_absolute_error 0.018277 mean_absolute_error 0.018415 mean_absolute_error 0.018231 mean_absolute_error 0.019306 mean_absolute_error 0.018431 mean_absolute_error 0.018696 mean_absolute_error 0.018076 mean_absolute_error 0.018735 mean_absolute_error 0.018452 mean_absolute_error 0.017583 mean_absolute_error 0.018542 mean_absolute_error 0.018186 mean_absolute_error 0.017843 mean_absolute_error 0.017781 mean_absolute_error 0.018251 mean_absolute_error 0.019545 mean_absolute_error 0.018019 mean_absolute_error 0.018245 mean_absolute_error 0.018222 mean_absolute_error 0.0181 mean_absolute_error 0.018422 mean_absolute_error 0.018275 mean_absolute_error 0.017575 mean_absolute_error 0.018965 mean_absolute_error 0.01859 mean_absolute_error 0.018837 mean_absolute_error 0.018639 mean_absolute_error 0.017738 mean_absolute_error 0.017898 mean_absolute_error 0.018549 mean_absolute_error 0.01763 mean_absolute_error 0.018751 mean_absolute_error 0.018267 mean_absolute_error 0.018156 mean_absolute_error 0.018197 mean_absolute_error 0.018568 mean_absolute_error 0.018571 mean_absolute_error 0.017947 mean_absolute_error 0.018378 mean_absolute_error 0.018387 mean_absolute_error 0.018924 mean_absolute_error 0.018196 mean_absolute_error 0.019532 mean_absolute_error 0.017705 mean_absolute_error 0.018304 mean_absolute_error 0.018864 mean_absolute_error 0.018674 mean_absolute_error 0.018386 mean_absolute_error 0.018891 mean_absolute_error 0.017922 mean_absolute_error 0.01855 mean_absolute_error 0.018756 mean_absolute_error 0.018137 mean_absolute_error 0.018817 mean_absolute_error 0.017149 mean_absolute_error 0.01801 mean_absolute_error 0.018064 mean_absolute_error 0.018501 mean_absolute_error 0.019112 mean_absolute_error 0.017898 mean_absolute_error 0.017444 mean_absolute_error 0.018947 mean_absolute_error 0.01833 mean_absolute_error 0.019175 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 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[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 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[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 0.897056 [0.828571,0.84,0.84375,0.75,0.75,0.964286,0.870968,1,0.964286,0.935484,0.9,0.966667,0.862069,0.862069,0.966667,0.851852,0.962963,0.935484,0.967742,0.857143,0.848485,0.771429,0.923077,0.9375,1,0.962963] precision 0.914894 [0.870968,0.84375,1,0.875,0.83871,0.962963,0.8,0.965517,1,0.9,0.925926,0.878788,0.862069,0.933333,1,0.925926,0.962963,0.967742,1,0.857143,0.8,0.84375,0.90625,0.935484,0.966667,0.964286] precision 0.911035 [1,0.787879,0.909091,0.966667,0.962963,1,0.866667,1,0.966667,0.8,0.83871,0.9375,0.851852,0.870968,1,0.705882,0.9,1,0.967742,0.851852,0.96,0.757576,0.857143,0.967742,1,0.96] precision 0.903389 [0.935484,0.884615,0.965517,0.878788,0.870968,0.875,0.783784,1,0.896552,0.866667,0.805556,0.935484,0.909091,0.958333,0.966667,0.857143,0.766667,0.90625,0.964286,0.958333,0.862069,0.774194,0.933333,1,1,0.933333] precision 0.905173 [0.8,0.846154,1,0.870968,0.846154,0.8125,0.818182,0.966667,1,0.870968,0.866667,0.848485,0.83871,0.96,0.966667,0.862069,0.966667,1,1,0.903226,0.878788,0.83871,0.966667,0.90625,1,0.9] precision 0.922571 [0.84375,0.862069,1,0.933333,0.931034,0.933333,0.935484,1,0.870968,0.805556,0.857143,0.966667,0.892857,0.896552,1,0.870968,0.928571,0.967742,1,0.931034,0.935484,0.789474,0.90625,1,0.928571,1] precision 0.899092 [0.90625,0.806452,0.935484,0.828571,0.894737,0.964286,0.756757,0.966667,0.965517,0.851852,0.818182,0.903226,0.866667,0.870968,0.965517,0.862069,0.923077,0.966667,0.966667,0.931034,0.928571,0.783784,0.870968,0.909091,0.933333,1] precision 0.916763 [0.903226,0.78125,1,0.9,0.888889,0.933333,0.862069,1,1,0.83871,0.818182,0.967742,0.862069,0.866667,1,0.8,0.827586,0.967742,0.90625,0.852941,0.965517,0.925926,1,1,0.967742,1] precision 0.895968 [0.875,0.833333,0.933333,0.878788,0.83871,0.787879,0.771429,0.962963,0.931034,0.923077,0.866667,0.966667,0.862069,0.892857,0.965517,0.862069,0.928571,0.966667,0.892857,0.884615,0.882353,0.818182,0.9,0.90625,1,0.964286] precision 0.918744 [0.966667,0.771429,1,0.833333,0.83871,0.9,0.875,1,1,0.878788,0.892857,1,0.928571,0.866667,0.967742,0.892857,0.935484,1,0.931034,0.928571,0.84375,0.833333,0.928571,0.967742,0.90625,1] precision 0.920021 [0.805556,0.8125,0.967742,0.903226,0.848485,0.90625,0.935484,0.966667,0.9,0.769231,0.956522,0.909091,0.896552,0.870968,0.965517,0.862069,0.965517,0.966667,0.964286,0.892857,0.933333,0.956522,0.965517,1,1,1] precision 0.906145 [0.8,0.8125,0.933333,0.903226,0.851852,0.903226,0.962963,1,0.9375,0.818182,0.916667,0.935484,0.827586,0.78125,1,0.8125,0.931034,1,0.965517,0.9,0.90625,0.827586,0.933333,1,0.964286,0.935484] precision 0.890598 [0.862069,0.742857,0.903226,0.9,0.857143,0.909091,0.787879,0.965517,0.896552,0.9375,0.967742,0.878788,0.913043,0.794118,0.962963,0.814815,0.964286,0.928571,1,0.83871,0.966667,0.75,0.935484,0.933333,0.9375,0.807692] precision 0.913143 [0.828571,0.83871,0.962963,0.857143,0.758621,0.965517,0.903226,0.965517,0.966667,0.878788,0.961538,0.967742,0.870968,0.857143,1,0.84375,0.967742,1,0.966667,0.896552,0.903226,0.823529,0.896552,1,0.967742,0.892857] precision 0.900369 [0.875,0.862069,0.933333,0.736842,0.833333,0.961538,0.866667,0.90625,0.9,0.846154,0.852941,0.903226,0.870968,0.866667,0.933333,0.916667,0.928571,0.965517,0.935484,0.961538,0.882353,0.875,0.931034,0.935484,0.966667,0.962963] precision 0.885201 [0.794118,0.756757,0.931034,0.896552,0.956522,0.925926,0.875,0.878788,0.964286,0.833333,0.888889,0.966667,0.818182,0.705882,0.966667,0.821429,0.870968,0.966667,0.966667,0.870968,0.756757,0.8125,0.888889,0.9375,1,0.964286] precision 0.906613 [0.903226,0.884615,1,0.823529,0.793103,0.964286,0.909091,1,0.964286,0.870968,0.903226,0.933333,0.862069,0.870968,0.90625,0.821429,0.90625,0.90625,1,0.875,0.933333,0.735294,1,0.882353,1,0.923077] precision 0.92664 [0.789474,0.870968,1,0.925926,0.933333,0.935484,0.875,1,0.9,0.90625,0.96,1,0.928571,0.966667,0.967742,0.851852,1,1,0.935484,0.862069,0.833333,0.828571,0.96,0.966667,0.966667,0.928571] precision 0.913837 [0.90625,0.764706,0.933333,0.851852,0.851852,0.933333,0.9,1,1,0.870968,0.931034,0.9375,0.896552,0.903226,1,0.862069,0.848485,0.967742,0.966667,0.961538,0.896552,0.742857,0.966667,0.967742,0.965517,0.933333] precision 0.922579 [0.923077,0.848485,0.935484,0.903226,0.931034,0.9375,0.931034,1,0.935484,0.84375,0.933333,0.964286,0.866667,0.903226,0.935484,0.83871,0.878788,0.965517,1,0.931034,1,0.722222,0.9375,0.966667,1,0.954545] precision 0.914545 [0.763158,0.925926,0.967742,0.851852,0.875,0.903226,0.823529,1,0.903226,0.928571,0.9,0.933333,0.928571,0.964286,0.9375,0.888889,0.964286,0.964286,0.964286,0.83871,0.878788,0.777778,0.928571,1,0.966667,1] precision 0.90847 [0.9,0.962963,0.9375,0.823529,0.862069,0.878788,0.896552,0.935484,0.966667,0.875,0.84375,0.935484,0.916667,0.794118,0.965517,0.862069,1,0.935484,0.964286,0.8,0.964286,0.742857,0.964286,1,1,0.892857] precision 0.90186 [0.83871,0.717949,1,0.961538,0.875,0.833333,0.892857,0.965517,0.966667,0.875,0.896552,0.903226,0.83871,0.821429,1,0.833333,0.903226,0.966667,0.896552,0.903226,0.935484,0.823529,0.933333,0.935484,0.931034,1] precision 0.902123 [0.84375,0.794118,0.9375,0.870968,0.875,0.961538,0.870968,1,0.9375,0.833333,0.931034,0.903226,0.884615,0.8,0.903226,0.88,0.875,0.966667,0.9375,0.870968,0.931034,0.823529,0.965517,0.966667,0.928571,0.962963] precision 0.888856 [0.933333,0.758621,0.933333,0.892857,0.758621,0.931034,0.870968,0.966667,0.9,0.783784,0.833333,0.967742,0.833333,0.774194,0.966667,0.9,0.962963,0.966667,0.966667,0.806452,0.9375,0.666667,0.875,1,0.965517,0.958333] precision 0.906244 [0.909091,0.771429,0.965517,0.833333,0.777778,0.866667,0.965517,1,0.909091,0.805556,0.866667,1,0.923077,0.933333,1,0.8,1,1,0.903226,0.857143,0.909091,0.766667,0.870968,0.966667,1,0.961538] precision 0.8931 [0.84375,0.75,0.964286,0.96,0.833333,0.935484,0.84375,0.966667,0.9375,0.903226,0.83871,0.90625,0.764706,0.892857,1,0.7,0.933333,1,1,0.875,0.882353,0.75,0.892857,0.967742,1,0.878788] precision 0.889024 [0.866667,0.875,0.933333,0.787879,0.96,0.903226,0.741935,0.935484,0.931034,0.870968,0.857143,0.933333,0.774194,0.757576,1,0.8125,0.870968,0.933333,1,0.71875,0.896552,0.857143,0.964286,0.933333,1,1] precision 0.912943 [0.9,0.965517,0.962963,0.862069,0.964286,1,0.794118,0.965517,0.966667,0.828571,0.965517,0.903226,0.814815,0.84375,1,0.8125,0.964286,0.9375,0.935484,0.884615,0.848485,0.823529,0.896552,1,1,0.896552] precision 0.910327 [0.828571,0.903226,0.964286,0.903226,0.9,0.875,0.84375,0.964286,0.962963,0.84375,1,0.933333,0.862069,0.857143,0.967742,0.83871,0.928571,0.967742,0.964286,0.896552,0.875,0.757576,0.935484,1,0.966667,0.928571] precision 0.909314 [0.9,0.794118,0.965517,0.928571,0.923077,0.848485,0.833333,1,1,0.866667,0.848485,0.966667,0.833333,0.740741,1,0.833333,0.933333,0.967742,0.928571,1,0.882353,0.78125,0.965517,0.967742,0.933333,1] precision 0.904015 [0.8,0.806452,1,1,0.833333,1,0.8125,0.935484,0.964286,0.903226,0.857143,1,0.862069,0.862069,1,0.827586,0.896552,0.967742,0.9375,0.757576,0.878788,0.742857,0.931034,1,0.966667,0.961538] precision 0.905052 [0.756757,0.870968,0.964286,0.833333,0.827586,1,0.875,0.965517,0.90625,0.806452,0.884615,0.967742,0.827586,0.862069,1,0.9,0.928571,1,1,0.83871,0.882353,0.833333,0.962963,0.935484,0.9375,0.964286] precision 0.912246 [0.965517,0.933333,0.925926,0.931034,0.848485,0.966667,0.731707,0.967742,0.964286,0.878788,0.931034,0.9,0.8125,0.862069,0.935484,0.8,1,0.967742,0.967742,0.958333,0.878788,0.774194,0.961538,1,0.935484,0.92] precision 0.928248 [0.875,0.818182,0.967742,0.962963,0.931034,0.966667,0.90625,1,1,0.925926,0.90625,0.965517,0.78125,0.857143,1,0.878788,0.933333,1,0.967742,0.931034,0.896552,0.827586,0.935484,1,1,0.9] precision 0.888768 [0.870968,0.69697,0.962963,0.8125,0.8,0.84375,0.870968,0.965517,0.965517,0.9,0.9,0.9,0.923077,0.896552,0.903226,0.83871,0.933333,0.965517,0.928571,0.818182,0.848485,0.821429,0.90625,0.966667,0.935484,0.933333] precision 0.910118 [0.852941,0.756757,0.933333,0.923077,0.96,0.931034,0.828571,1,0.935484,0.892857,0.888889,1,0.888889,0.833333,1,0.9,0.870968,0.965517,0.90625,0.862069,0.852941,0.818182,0.931034,0.966667,1,0.964286] precision 0.899339 [0.83871,0.735294,0.965517,0.84375,0.793103,0.965517,0.896552,0.965517,0.966667,0.862069,0.925926,0.933333,0.827586,0.862069,0.966667,0.962963,0.848485,1,0.935484,0.866667,0.878788,0.722222,0.966667,0.967742,0.965517,0.92] precision 0.919893 [0.964286,0.964286,0.962963,0.823529,0.833333,0.857143,0.852941,1,0.903226,0.83871,0.964286,0.966667,0.8125,0.903226,0.933333,0.823529,0.833333,0.966667,1,0.933333,0.964286,0.931034,0.923077,1,0.961538,1] precision 0.887266 [0.9,0.722222,0.933333,0.851852,0.740741,0.96,0.83871,1,0.966667,0.866667,0.787879,0.909091,0.888889,0.862069,0.965517,0.806452,0.84375,1,0.9375,0.923077,0.9,0.657143,1,0.878788,1,0.928571] precision 0.904778 [0.823529,0.84375,0.931034,0.8,0.947368,0.866667,0.90625,0.965517,0.909091,0.903226,0.892857,1,0.833333,0.8125,1,0.870968,0.90625,1,0.961538,0.764706,0.878788,0.823529,0.958333,0.966667,1,0.958333] precision 0.899333 [0.896552,0.787879,0.90625,0.821429,0.888889,0.852941,0.777778,0.966667,0.935484,0.92,0.90625,0.9375,0.958333,0.852941,1,0.758621,0.9,0.966667,0.961538,0.83871,0.870968,0.742857,0.966667,0.967742,1,1] precision 0.89879 [0.84375,0.8,0.965517,0.83871,0.96,0.909091,0.903226,0.935484,1,0.8,0.655172,0.90625,0.787879,0.92,0.9375,0.892857,0.925926,1,1,0.870968,0.848485,0.870968,0.925926,0.9375,1,0.933333] precision 0.899519 [0.852941,0.757576,1,0.787879,0.84,0.903226,0.84375,1,0.903226,0.878788,0.884615,0.935484,0.923077,0.8125,1,0.764706,0.903226,0.965517,1,0.923077,0.903226,0.774194,0.962963,0.967742,0.935484,0.964286] precision 0.910282 [1,0.84375,0.966667,0.866667,0.892857,0.909091,0.833333,1,0.933333,0.870968,0.925926,1,0.866667,0.771429,0.9375,0.757576,0.870968,1,0.967742,0.83871,1,0.787879,1,0.966667,0.931034,0.928571] precision 0.917128 [0.9,0.866667,0.90625,0.964286,0.771429,0.966667,0.9375,0.966667,1,0.851852,0.83871,1,0.866667,0.862069,1,0.806452,0.892857,0.967742,0.965517,0.9,0.928571,0.823529,0.933333,1,1,0.928571] precision 0.900729 [0.818182,0.8,0.961538,0.774194,0.866667,0.848485,0.966667,0.966667,0.965517,0.862069,0.794118,0.966667,0.821429,0.8125,0.967742,0.806452,0.96,1,1,0.83871,0.966667,0.862069,0.928571,0.935484,1,0.928571] precision 0.904575 [0.852941,0.848485,0.90625,0.794118,0.862069,0.878788,0.964286,1,0.933333,0.956522,0.870968,0.852941,0.913043,0.771429,0.966667,0.75,0.9,1,0.964286,0.903226,0.931034,0.862069,0.903226,0.967742,1,0.965517] precision 0.910039 [0.935484,0.848485,0.967742,0.925926,0.96,0.935484,0.823529,1,0.933333,0.806452,0.8125,0.9375,0.806452,0.857143,1,0.846154,0.794118,1,1,0.896552,0.933333,0.75,1,1,0.967742,0.923077] precision 0.919756 [0.828571,0.866667,0.965517,0.896552,0.931034,0.823529,0.870968,1,0.9375,0.823529,0.870968,0.966667,0.892857,0.964286,0.9375,0.741935,0.962963,1,0.923077,0.818182,1,0.964286,0.961538,1,1,0.965517] precision 0.886825 [0.933333,0.84375,0.903226,0.827586,0.84,0.923077,0.848485,0.9375,0.967742,0.870968,0.83871,0.870968,0.851852,0.933333,0.935484,0.777778,0.862069,1,0.875,0.866667,0.933333,0.685714,0.933333,0.935484,1,0.862069] precision 0.880753 [0.931034,0.72973,0.965517,0.83871,0.892857,0.923077,0.785714,1,1,0.766667,0.83871,0.909091,0.833333,0.862069,0.966667,0.771429,0.83871,0.967742,0.9,0.96,0.965517,0.689655,0.958333,0.707317,0.966667,0.931034] precision 0.904529 [0.866667,0.8125,0.903226,0.774194,0.833333,0.870968,1,0.966667,0.964286,0.962963,0.783784,0.935484,0.866667,0.866667,1,0.833333,0.903226,0.9375,0.962963,0.928571,0.90625,0.807692,0.964286,0.967742,0.967742,0.931034] precision 0.901715 [0.827586,0.866667,0.967742,0.896552,0.961538,0.818182,0.935484,0.933333,0.909091,0.928571,0.8125,0.935484,0.827586,0.896552,1,0.833333,0.903226,1,0.962963,0.875,0.8,0.75,0.875,0.966667,1,0.961538] precision 0.893639 [0.777778,0.827586,0.965517,0.88,0.814815,0.935484,0.852941,1,0.928571,0.851852,0.787879,0.90625,0.814815,0.862069,0.933333,0.84375,0.903226,0.966667,0.965517,0.935484,0.875,0.8125,0.896552,0.967742,0.967742,0.961538] precision 0.898314 [0.903226,0.764706,0.903226,0.833333,0.821429,0.933333,0.75,1,0.9,0.896552,0.933333,0.931034,0.857143,0.823529,0.935484,0.857143,0.935484,0.9375,0.903226,0.925926,0.935484,0.757576,1,1,0.962963,0.954545] precision 0.903925 [0.875,0.74359,0.9,0.928571,0.913043,0.875,0.84375,0.965517,0.852941,0.8,0.896552,0.967742,0.961538,0.866667,0.966667,0.888889,1,0.965517,1,0.896552,0.909091,0.65,0.903226,0.966667,0.965517,1] precision 0.91182 [0.931034,0.896552,1,0.848485,0.758621,0.8,0.931034,0.964286,0.935484,0.769231,0.962963,1,0.806452,0.833333,0.935484,0.848485,0.96,0.933333,1,1,0.935484,0.828571,0.933333,0.966667,0.965517,0.962963] precision 0.911409 [0.828571,0.827586,1,0.903226,0.83871,0.967742,0.848485,1,0.84375,0.896552,0.78125,1,0.925926,0.866667,0.90625,0.8125,0.933333,0.931034,1,1,0.9375,0.821429,0.964286,0.967742,0.965517,0.928571] precision 0.905944 [0.903226,0.923077,0.966667,0.857143,0.757576,0.967742,0.777778,0.935484,0.875,0.956522,0.823529,0.909091,0.913043,0.8125,1,0.928571,0.9,0.935484,0.966667,0.866667,0.848485,0.806452,1,1,0.965517,0.958333] precision 0.898189 [0.90625,0.8125,1,0.931034,0.777778,0.875,0.848485,1,0.823529,0.851852,0.870968,1,0.827586,0.9,1,0.75,0.903226,0.935484,1,0.882353,0.903226,0.787879,0.90625,0.966667,1,0.892857] precision 0.899004 [0.888889,0.793103,0.967742,0.870968,0.733333,0.90625,0.878788,1,0.965517,1,0.852941,0.935484,0.962963,0.742857,0.903226,0.787879,0.903226,0.966667,1,0.9,0.892857,0.730769,0.928571,1,1,0.862069] precision 0.897362 [0.805556,0.870968,1,0.83871,0.709677,0.923077,0.777778,1,0.892857,0.857143,0.8125,0.935484,0.958333,0.806452,1,0.884615,0.964286,0.848485,0.964286,0.866667,0.966667,0.8,0.965517,0.882353,1,1] precision 0.921365 [0.852941,0.916667,0.967742,0.9,0.875,0.965517,0.875,1,0.933333,0.965517,0.903226,0.90625,0.722222,0.92,0.966667,0.933333,0.931034,0.966667,0.935484,0.870968,0.9375,0.84375,0.866667,1,1,1] precision 0.900084 [0.783784,0.962963,0.933333,0.875,0.892857,0.933333,0.827586,1,0.931034,0.75,0.846154,0.966667,0.923077,0.823529,0.966667,0.777778,0.84375,0.935484,0.965517,0.821429,0.878788,0.870968,0.961538,1,0.966667,0.964286] precision 0.895729 [0.870968,0.771429,0.966667,0.83871,0.96,0.878788,0.870968,0.933333,0.90625,0.793103,0.833333,1,0.84375,0.851852,0.9375,0.8,0.870968,1,0.965517,0.962963,0.9,0.735294,0.862069,0.935484,1,1] precision 0.913329 [0.964286,0.821429,1,0.828571,0.758621,0.90625,0.756757,0.967742,0.964286,0.823529,0.785714,1,0.774194,0.925926,0.967742,0.896552,0.935484,1,1,0.896552,1,0.866667,0.90625,1,1,1] precision 0.89153 [0.862069,0.758621,1,0.806452,0.814815,0.965517,0.794118,1,0.965517,0.818182,0.83871,0.909091,0.923077,0.857143,0.933333,0.8,1,0.967742,0.966667,0.923077,0.805556,0.764706,0.903226,0.935484,0.933333,0.933333] precision 0.892947 [0.848485,0.777778,0.965517,0.833333,0.863636,0.923077,0.83871,1,0.90625,0.956522,0.771429,0.90625,0.862069,0.857143,0.966667,0.827586,1,0.965517,0.903226,0.823529,1,0.685714,0.965517,0.875,0.967742,0.925926] precision 0.904527 [0.878788,0.857143,0.931034,0.935484,0.92,0.931034,0.903226,0.965517,0.9,0.870968,0.823529,0.966667,0.916667,0.823529,0.966667,0.791667,0.875,0.935484,0.966667,0.931034,0.966667,0.722222,0.870968,0.967742,1,0.9] precision 0.909848 [0.870968,0.833333,0.966667,0.833333,0.923077,0.9375,0.903226,0.966667,0.909091,0.892857,0.875,0.90625,0.933333,0.962963,1,0.8,0.857143,1,0.966667,0.862069,0.903226,0.727273,0.962963,0.966667,0.965517,0.931034] precision 0.914593 [0.828571,0.875,1,0.866667,0.888889,0.875,0.962963,0.967742,0.9375,0.8125,0.870968,0.90625,0.9,0.962963,1,0.92,0.896552,1,0.964286,0.852941,0.909091,0.756757,0.896552,0.967742,1,0.96] precision 0.897023 [0.828571,0.777778,0.964286,0.852941,0.923077,0.84375,0.727273,0.967742,0.965517,0.925926,0.903226,1,0.793103,0.83871,1,0.807692,0.83871,0.966667,1,0.857143,1,0.8,0.933333,0.935484,0.966667,0.903226] precision 0.901327 [0.823529,0.641026,0.9,0.892857,0.909091,0.882353,0.925926,1,0.931034,0.870968,0.806452,1,0.925926,0.896552,0.966667,0.888889,0.903226,0.965517,0.964286,0.818182,0.933333,0.794118,0.965517,0.933333,1,0.896552] precision 0.901483 [0.848485,0.848485,0.966667,0.8,0.961538,0.96,0.83871,1,0.935484,0.965517,0.828571,0.935484,0.875,0.83871,0.964286,0.821429,0.84,0.903226,0.903226,0.8,0.892857,0.896552,0.878788,0.9375,1,1] precision 0.902547 [0.848485,0.896552,1,0.875,0.807692,0.962963,0.714286,1,0.848485,0.866667,0.931034,0.967742,0.705882,0.774194,1,0.8125,0.870968,1,1,0.962963,0.966667,0.888889,0.928571,0.935484,1,0.903226] precision 0.894589 [0.903226,0.787879,1,0.823529,0.862069,0.923077,0.83871,0.965517,0.962963,0.961538,0.928571,0.848485,0.806452,0.933333,0.896552,0.923077,0.852941,0.965517,0.9,0.9,0.866667,0.733333,0.9,0.967742,0.909091,0.9] precision 0.911266 [0.909091,0.888889,0.933333,0.83871,0.9,0.892857,0.966667,1,0.935484,0.935484,0.909091,0.9375,0.806452,0.884615,0.965517,0.892857,0.857143,0.967742,0.962963,0.965517,0.878788,0.764706,0.857143,0.882353,1,0.956522] precision 0.890161 [0.805556,0.851852,0.962963,0.827586,0.694444,0.96,0.965517,0.933333,0.933333,0.756757,0.787879,0.9375,0.913043,0.862069,1,0.846154,0.954545,1,0.9375,0.866667,0.933333,0.694444,0.857143,0.9375,0.964286,0.961538] precision 0.916936 [0.878788,0.83871,1,0.818182,0.925926,0.9,0.862069,1,0.903226,0.848485,0.896552,1,0.84375,0.83871,1,0.866667,0.9,0.965517,1,0.888889,0.933333,0.9,0.896552,0.967742,1,0.966667] precision 0.896271 [0.857143,0.83871,0.965517,0.84375,0.884615,0.866667,0.92,0.967742,0.961538,0.787879,0.96,0.967742,0.807692,0.8125,1,0.787879,0.903226,0.935484,1,0.892857,0.9,0.771429,0.896552,0.909091,0.935484,0.928571] precision 0.89971 [0.878788,0.766667,0.96,0.833333,0.833333,0.962963,0.90625,1,0.967742,0.806452,0.787879,0.962963,0.785714,0.833333,0.9375,0.888889,0.9375,1,0.90625,0.896552,0.967742,0.777778,0.903226,0.966667,0.965517,0.961538] precision 0.907179 [0.965517,0.818182,0.931034,0.78125,0.84,0.892857,0.84375,1,0.935484,0.852941,0.964286,0.933333,0.787879,0.8125,1,0.806452,0.935484,1,0.931034,0.964286,0.882353,0.818182,0.931034,1,1,0.958333] precision 0.909426 [0.9,0.818182,1,0.787879,0.862069,0.931034,1,1,1,0.827586,0.833333,0.935484,0.84,0.8125,1,0.83871,0.903226,0.9375,1,0.852941,0.90625,0.8125,1,0.909091,0.9375,1] precision 0.900925 [0.870968,0.702703,0.965517,0.78125,0.71875,0.84375,0.90625,1,0.935484,0.818182,0.821429,0.852941,0.862069,0.931034,1,0.821429,1,1,0.962963,0.928571,0.966667,0.8,0.965517,0.966667,1,1] precision 0.908736 [0.967742,0.96,0.967742,0.787879,0.846154,0.9,0.892857,0.935484,0.964286,0.870968,0.935484,0.9375,0.9,0.848485,0.964286,0.787879,0.866667,0.967742,0.962963,0.764706,0.882353,0.923077,0.9,0.966667,1,0.925926] precision 0.911556 [0.84375,0.9,1,0.848485,0.928571,0.866667,0.96,0.966667,0.966667,0.74359,0.928571,0.90625,0.892857,0.866667,0.966667,0.83871,0.866667,1,1,0.875,0.931034,0.833333,0.9,0.935484,1,0.933333] precision 0.901668 [0.875,0.828571,0.935484,0.896552,0.913043,0.965517,0.833333,0.966667,0.933333,0.92,0.818182,0.9375,0.862069,0.892857,1,0.75,0.896552,0.9375,1,0.833333,0.964286,0.685714,0.875,0.966667,1,0.958333] precision 0.901308 [0.8,0.763158,0.966667,0.771429,0.928571,0.9,0.928571,0.967742,0.966667,0.878788,0.958333,0.935484,0.846154,0.722222,1,0.83871,0.962963,1,0.964286,0.862069,0.875,0.785714,0.848485,1,1,0.962963] precision 0.907499 [0.756757,0.875,0.965517,0.794118,0.95,0.875,0.966667,1,0.965517,0.90625,0.851852,0.965517,0.821429,0.75,1,0.888889,0.965517,0.935484,0.965517,0.866667,0.90625,0.757576,0.966667,1,0.966667,0.931034] precision 0.922928 [0.925926,0.896552,1,0.878788,0.818182,0.931034,0.961538,1,0.966667,0.878788,0.896552,0.90625,0.821429,0.8125,0.966667,0.928571,0.933333,0.967742,0.966667,0.875,0.935484,0.866667,0.965517,1,0.965517,0.931034] precision 0.911774 [0.966667,0.965517,0.935484,0.818182,0.848485,1,0.727273,0.966667,0.935484,0.84375,0.84375,0.966667,0.766667,0.857143,0.967742,0.833333,0.84375,0.931034,0.967742,0.961538,0.931034,0.962963,0.962963,0.967742,0.9375,1] precision 0.915126 [0.966667,0.88,1,0.878788,0.8125,1,0.875,1,0.903226,0.83871,0.878788,0.966667,0.875,0.774194,0.935484,0.896552,0.90625,1,0.9375,0.964286,0.903226,0.8,0.90625,1,0.928571,0.964286] precision 0.901025 [0.875,0.852941,0.962963,0.78125,0.875,0.823529,0.964286,0.966667,0.90625,0.774194,0.8125,0.903226,0.888889,0.8,0.964286,0.818182,0.935484,1,0.964286,0.925926,0.9375,0.862069,0.962963,0.966667,1,0.9] precision 0.901961 [0.857143,0.962963,0.878788,0.83871,0.806452,0.833333,0.875,0.966667,0.933333,0.852941,0.962963,0.90625,0.814815,0.896552,0.965517,0.827586,1,0.966667,1,0.814815,0.903226,0.787879,0.862069,0.966667,0.967742,1] precision 0.916763 [0.794118,0.925926,1,0.771429,0.892857,0.931034,0.931034,0.965517,0.90625,1,0.8,0.965517,0.851852,0.925926,1,0.958333,0.90625,0.965517,1,0.862069,1,0.848485,0.878788,0.878788,0.967742,0.90625] precision 0.915074 [0.823529,0.828571,0.933333,0.9,0.954545,0.965517,0.848485,1,0.9375,0.925926,0.896552,0.966667,0.821429,0.814815,1,0.83871,0.967742,0.966667,0.90625,0.78125,0.852941,0.892857,1,1,1,0.965517] precision 0.908357 [0.806452,0.933333,1,0.933333,0.90625,0.892857,0.848485,0.909091,0.857143,0.857143,0.892857,0.933333,0.896552,0.78125,0.935484,0.896552,0.961538,1,0.933333,0.84375,0.909091,0.821429,0.964286,1,1,0.903226] precision 0.901588 [0.875,0.892857,0.966667,0.828571,0.892857,0.925926,0.892857,0.966667,0.965517,0.83871,0.774194,0.933333,0.806452,0.92,0.966667,0.793103,1,0.909091,1,0.833333,0.9375,0.774194,0.90625,0.882353,1,0.96] precision 0.896705 [0.875,0.793103,0.935484,0.866667,0.794118,0.928571,0.878788,0.933333,0.852941,0.833333,0.961538,0.903226,0.888889,0.83871,0.964286,0.83871,0.964286,1,0.966667,0.928571,0.848485,0.83871,0.848485,0.90625,1,0.925926] predictive_accuracy 0.89359 predictive_accuracy 0.911538 predictive_accuracy 0.90641 predictive_accuracy 0.9 predictive_accuracy 0.902564 predictive_accuracy 0.919231 predictive_accuracy 0.894872 predictive_accuracy 0.915385 predictive_accuracy 0.89359 predictive_accuracy 0.916667 predictive_accuracy 0.915385 predictive_accuracy 0.903846 predictive_accuracy 0.888462 predictive_accuracy 0.911538 predictive_accuracy 0.897436 predictive_accuracy 0.880769 predictive_accuracy 0.903846 predictive_accuracy 0.923077 predictive_accuracy 0.911538 predictive_accuracy 0.919231 predictive_accuracy 0.910256 predictive_accuracy 0.905128 predictive_accuracy 0.898718 predictive_accuracy 0.9 predictive_accuracy 0.885897 predictive_accuracy 0.902564 predictive_accuracy 0.891026 predictive_accuracy 0.885897 predictive_accuracy 0.910256 predictive_accuracy 0.907692 predictive_accuracy 0.90641 predictive_accuracy 0.9 predictive_accuracy 0.902564 predictive_accuracy 0.907692 predictive_accuracy 0.926923 predictive_accuracy 0.887179 predictive_accuracy 0.90641 predictive_accuracy 0.896154 predictive_accuracy 0.915385 predictive_accuracy 0.883333 predictive_accuracy 0.9 predictive_accuracy 0.894872 predictive_accuracy 0.897436 predictive_accuracy 0.896154 predictive_accuracy 0.90641 predictive_accuracy 0.915385 predictive_accuracy 0.897436 predictive_accuracy 0.9 predictive_accuracy 0.90641 predictive_accuracy 0.916667 predictive_accuracy 0.885897 predictive_accuracy 0.874359 predictive_accuracy 0.902564 predictive_accuracy 0.898718 predictive_accuracy 0.892308 predictive_accuracy 0.894872 predictive_accuracy 0.894872 predictive_accuracy 0.90641 predictive_accuracy 0.908974 predictive_accuracy 0.901282 predictive_accuracy 0.896154 predictive_accuracy 0.897436 predictive_accuracy 0.892308 predictive_accuracy 0.917949 predictive_accuracy 0.896154 predictive_accuracy 0.892308 predictive_accuracy 0.910256 predictive_accuracy 0.888462 predictive_accuracy 0.888462 predictive_accuracy 0.902564 predictive_accuracy 0.907574 predictive_accuracy 0.910141 predictive_accuracy 0.894737 predictive_accuracy 0.896021 predictive_accuracy 0.898588 predictive_accuracy 0.898588 predictive_accuracy 0.892169 predictive_accuracy 0.908858 predictive_accuracy 0.883184 predictive_accuracy 0.915276 predictive_accuracy 0.893453 predictive_accuracy 0.897304 predictive_accuracy 0.903723 predictive_accuracy 0.90629 predictive_accuracy 0.896021 predictive_accuracy 0.90629 predictive_accuracy 0.907574 predictive_accuracy 0.897304 predictive_accuracy 0.896021 predictive_accuracy 0.903723 predictive_accuracy 0.921694 predictive_accuracy 0.908858 predictive_accuracy 0.912709 predictive_accuracy 0.897304 predictive_accuracy 0.898588 predictive_accuracy 0.912709 predictive_accuracy 0.912709 predictive_accuracy 0.90629 predictive_accuracy 0.899872 predictive_accuracy 0.893453 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 0.89359 [0.966667,0.7,0.9,0.9,0.8,0.9,0.9,0.966667,0.9,0.966667,0.9,0.966667,0.833333,0.833333,0.966667,0.766667,0.866667,0.966667,1,0.8,0.933333,0.9,0.8,1,0.933333,0.866667] recall 0.911538 [0.9,0.9,1,0.933333,0.866667,0.866667,0.933333,0.933333,0.9,0.9,0.833333,0.966667,0.833333,0.933333,0.9,0.833333,0.866667,1,0.966667,0.8,0.933333,0.9,0.966667,0.966667,0.966667,0.9] recall 0.90641 [0.933333,0.866667,1,0.966667,0.866667,0.933333,0.866667,0.966667,0.966667,0.933333,0.866667,1,0.766667,0.9,0.933333,0.8,0.9,1,1,0.766667,0.8,0.833333,1,1,0.9,0.8] recall 0.9 [0.966667,0.766667,0.933333,0.966667,0.9,0.933333,0.966667,1,0.866667,0.866667,0.966667,0.966667,1,0.766667,0.966667,0.8,0.766667,0.966667,0.9,0.766667,0.833333,0.8,0.933333,0.966667,0.9,0.933333] recall 0.902564 [0.933333,0.733333,0.9,0.9,0.733333,0.866667,0.9,0.966667,1,0.9,0.866667,0.933333,0.866667,0.8,0.966667,0.833333,0.966667,1,0.866667,0.933333,0.966667,0.866667,0.966667,0.966667,0.933333,0.9] recall 0.919231 [0.9,0.833333,0.966667,0.933333,0.9,0.933333,0.966667,0.933333,0.9,0.966667,0.8,0.966667,0.833333,0.866667,1,0.9,0.866667,1,0.933333,0.9,0.966667,1,0.966667,1,0.866667,0.8] recall 0.894872 [0.966667,0.833333,0.966667,0.966667,0.566667,0.9,0.933333,0.966667,0.933333,0.766667,0.9,0.933333,0.866667,0.9,0.933333,0.833333,0.8,0.966667,0.966667,0.9,0.866667,0.966667,0.9,1,0.933333,0.8] recall 0.915385 [0.933333,0.833333,1,0.9,0.8,0.933333,0.833333,1,0.966667,0.866667,0.9,1,0.833333,0.866667,0.966667,0.8,0.8,1,0.966667,0.966667,0.933333,0.833333,0.966667,0.966667,1,0.933333] recall 0.89359 [0.933333,0.833333,0.933333,0.966667,0.866667,0.866667,0.9,0.866667,0.9,0.8,0.866667,0.966667,0.833333,0.833333,0.933333,0.833333,0.866667,0.966667,0.833333,0.766667,1,0.9,0.9,0.966667,1,0.9] recall 0.916667 [0.966667,0.9,0.933333,0.833333,0.866667,0.9,0.933333,0.966667,0.966667,0.966667,0.833333,0.933333,0.866667,0.866667,1,0.833333,0.966667,1,0.9,0.866667,0.9,0.833333,0.866667,1,0.966667,0.966667] recall 0.915385 [0.966667,0.866667,1,0.933333,0.933333,0.966667,0.966667,0.966667,0.9,1,0.733333,1,0.866667,0.9,0.933333,0.833333,0.933333,0.966667,0.9,0.833333,0.933333,0.733333,0.933333,0.966667,0.966667,0.866667] recall 0.903846 [0.933333,0.866667,0.933333,0.933333,0.766667,0.933333,0.866667,0.933333,1,0.9,0.733333,0.966667,0.8,0.833333,0.966667,0.866667,0.9,0.966667,0.933333,0.9,0.966667,0.8,0.933333,1,0.9,0.966667] recall 0.888462 [0.833333,0.866667,0.933333,0.9,0.8,1,0.866667,0.933333,0.866667,1,1,0.966667,0.7,0.9,0.866667,0.733333,0.9,0.866667,0.933333,0.866667,0.966667,0.8,0.966667,0.933333,1,0.7] recall 0.911538 [0.966667,0.866667,0.866667,0.8,0.733333,0.933333,0.933333,0.933333,0.966667,0.966667,0.833333,1,0.9,0.8,0.966667,0.9,1,0.933333,0.966667,0.866667,0.933333,0.933333,0.866667,1,1,0.833333] recall 0.897436 [0.933333,0.833333,0.933333,0.933333,0.833333,0.833333,0.866667,0.966667,0.9,0.733333,0.966667,0.933333,0.9,0.866667,0.933333,0.733333,0.866667,0.933333,0.966667,0.833333,1,0.933333,0.9,0.966667,0.966667,0.866667] recall 0.880769 [0.9,0.933333,0.9,0.866667,0.733333,0.833333,0.933333,0.966667,0.9,0.833333,0.8,0.966667,0.6,0.8,0.966667,0.766667,0.9,0.966667,0.966667,0.9,0.933333,0.866667,0.8,1,0.966667,0.9] recall 0.903846 [0.933333,0.766667,0.9,0.933333,0.766667,0.9,1,0.933333,0.9,0.9,0.933333,0.933333,0.833333,0.9,0.966667,0.766667,0.966667,0.966667,0.966667,0.933333,0.933333,0.833333,0.866667,1,0.966667,0.8] recall 0.923077 [1,0.9,0.966667,0.833333,0.933333,0.966667,0.933333,0.966667,0.9,0.966667,0.8,0.966667,0.866667,0.966667,1,0.766667,1,0.9,0.966667,0.833333,1,0.966667,0.8,0.966667,0.966667,0.866667] recall 0.911538 [0.966667,0.866667,0.933333,0.766667,0.766667,0.933333,0.9,0.966667,0.933333,0.9,0.9,1,0.866667,0.933333,0.933333,0.833333,0.933333,1,0.966667,0.833333,0.866667,0.866667,0.966667,1,0.933333,0.933333] recall 0.919231 [0.8,0.933333,0.966667,0.933333,0.9,1,0.9,0.933333,0.966667,0.9,0.933333,0.9,0.866667,0.933333,0.966667,0.866667,0.966667,0.933333,0.966667,0.9,0.9,0.866667,1,0.966667,1,0.7] recall 0.910256 [0.966667,0.833333,1,0.766667,0.933333,0.933333,0.933333,0.966667,0.933333,0.866667,0.9,0.933333,0.866667,0.9,1,0.8,0.9,0.9,0.9,0.866667,0.966667,0.933333,0.866667,1,0.966667,0.833333] recall 0.905128 [0.9,0.866667,1,0.933333,0.833333,0.966667,0.866667,0.966667,0.966667,0.933333,0.9,0.966667,0.733333,0.9,0.933333,0.833333,0.9,0.966667,0.9,0.8,0.9,0.866667,0.9,0.966667,1,0.833333] recall 0.898718 [0.866667,0.933333,0.966667,0.833333,0.7,0.833333,0.833333,0.933333,0.966667,0.933333,0.866667,0.933333,0.866667,0.766667,0.966667,0.833333,0.933333,0.966667,0.866667,0.933333,0.966667,0.933333,0.933333,0.966667,0.9,0.933333] recall 0.9 [0.9,0.9,1,0.9,0.7,0.833333,0.9,0.966667,1,0.833333,0.9,0.933333,0.766667,0.933333,0.933333,0.733333,0.933333,0.966667,1,0.9,0.9,0.933333,0.933333,0.966667,0.866667,0.866667] recall 0.885897 [0.933333,0.733333,0.933333,0.833333,0.733333,0.9,0.9,0.966667,0.9,0.966667,0.833333,1,0.666667,0.8,0.966667,0.9,0.866667,0.966667,0.966667,0.833333,1,0.8,0.933333,1,0.933333,0.766667] recall 0.902564 [1,0.9,0.933333,0.833333,0.933333,0.866667,0.933333,0.933333,1,0.966667,0.866667,0.966667,0.8,0.933333,1,0.666667,0.866667,0.9,0.933333,0.8,1,0.766667,0.9,0.966667,0.966667,0.833333] recall 0.891026 [0.9,0.8,0.9,0.8,0.833333,0.966667,0.9,0.966667,1,0.933333,0.866667,0.966667,0.866667,0.833333,0.933333,0.7,0.933333,0.966667,0.933333,0.7,1,0.7,0.833333,1,0.966667,0.966667] recall 0.885897 [0.866667,0.933333,0.933333,0.866667,0.8,0.933333,0.766667,0.966667,0.9,0.9,0.8,0.933333,0.8,0.833333,1,0.866667,0.9,0.933333,0.933333,0.766667,0.866667,0.8,0.9,0.933333,1,0.9] recall 0.910256 [0.9,0.933333,0.866667,0.833333,0.9,0.966667,0.9,0.933333,0.966667,0.966667,0.933333,0.933333,0.733333,0.9,0.933333,0.866667,0.9,1,0.966667,0.766667,0.933333,0.933333,0.866667,0.966667,1,0.866667] recall 0.907692 [0.966667,0.933333,0.9,0.933333,0.9,0.933333,0.9,0.9,0.866667,0.9,0.9,0.933333,0.833333,0.8,1,0.866667,0.866667,1,0.9,0.866667,0.933333,0.833333,0.966667,0.933333,0.966667,0.866667] recall 0.90641 [0.9,0.9,0.933333,0.866667,0.8,0.933333,1,0.966667,0.966667,0.866667,0.933333,0.966667,0.833333,0.666667,1,0.833333,0.933333,1,0.866667,0.833333,1,0.833333,0.933333,1,0.933333,0.866667] recall 0.9 [0.933333,0.833333,0.933333,0.8,0.833333,0.966667,0.866667,0.966667,0.9,0.933333,0.8,0.966667,0.833333,0.833333,0.966667,0.8,0.866667,1,1,0.833333,0.966667,0.866667,0.9,1,0.966667,0.833333] recall 0.902564 [0.933333,0.9,0.9,0.833333,0.8,0.9,0.933333,0.933333,0.966667,0.833333,0.766667,1,0.8,0.833333,0.966667,0.9,0.866667,0.966667,1,0.866667,1,0.833333,0.866667,0.966667,1,0.9] recall 0.907692 [0.933333,0.933333,0.833333,0.9,0.933333,0.966667,1,1,0.9,0.966667,0.9,0.9,0.866667,0.833333,0.966667,0.8,0.866667,1,1,0.766667,0.966667,0.8,0.833333,1,0.966667,0.766667] recall 0.926923 [0.933333,0.9,1,0.866667,0.9,0.966667,0.966667,0.933333,1,0.833333,0.966667,0.933333,0.833333,0.8,0.966667,0.966667,0.933333,1,1,0.9,0.866667,0.8,0.966667,0.966667,1,0.9] recall 0.887179 [0.9,0.766667,0.866667,0.866667,0.666667,0.9,0.9,0.933333,0.933333,0.9,0.9,0.9,0.8,0.866667,0.933333,0.866667,0.933333,0.933333,0.866667,0.9,0.933333,0.766667,0.966667,0.966667,0.966667,0.933333] recall 0.90641 [0.966667,0.933333,0.933333,0.8,0.8,0.9,0.966667,0.966667,0.966667,0.833333,0.8,0.966667,0.8,0.833333,0.966667,0.9,0.9,0.933333,0.966667,0.833333,0.966667,0.9,0.9,0.966667,0.966667,0.9] recall 0.896154 [0.866667,0.833333,0.933333,0.9,0.766667,0.933333,0.866667,0.933333,0.966667,0.833333,0.833333,0.933333,0.8,0.833333,0.966667,0.866667,0.933333,0.966667,0.966667,0.866667,0.966667,0.866667,0.966667,1,0.933333,0.766667] recall 0.915385 [0.9,0.9,0.866667,0.933333,0.833333,1,0.966667,1,0.933333,0.866667,0.9,0.966667,0.866667,0.933333,0.933333,0.933333,1,0.966667,0.9,0.933333,0.9,0.9,0.8,0.966667,0.833333,0.866667] recall 0.883333 [0.9,0.866667,0.933333,0.766667,0.666667,0.8,0.866667,0.933333,0.966667,0.866667,0.866667,1,0.8,0.833333,0.933333,0.833333,0.9,1,1,0.8,0.9,0.766667,0.966667,0.966667,0.966667,0.866667] recall 0.9 [0.933333,0.9,0.9,0.933333,0.6,0.866667,0.966667,0.933333,1,0.933333,0.833333,1,0.833333,0.866667,1,0.9,0.966667,0.966667,0.833333,0.866667,0.966667,0.933333,0.766667,0.966667,0.966667,0.766667] recall 0.894872 [0.866667,0.866667,0.966667,0.766667,0.8,0.966667,0.933333,0.966667,0.966667,0.766667,0.966667,1,0.766667,0.966667,0.966667,0.733333,0.9,0.966667,0.833333,0.866667,0.9,0.866667,0.966667,1,0.933333,0.766667] recall 0.897436 [0.9,0.933333,0.933333,0.866667,0.8,1,0.933333,0.966667,1,0.666667,0.633333,0.966667,0.866667,0.766667,1,0.833333,0.833333,1,0.933333,0.9,0.933333,0.9,0.833333,1,1,0.933333] recall 0.896154 [0.966667,0.833333,0.966667,0.866667,0.7,0.933333,0.9,1,0.933333,0.966667,0.766667,0.966667,0.8,0.866667,0.933333,0.866667,0.933333,0.933333,0.9,0.8,0.933333,0.8,0.866667,1,0.966667,0.9] recall 0.90641 [0.866667,0.9,0.966667,0.866667,0.833333,1,0.833333,0.966667,0.933333,0.9,0.833333,0.966667,0.866667,0.9,1,0.833333,0.9,0.933333,1,0.866667,0.9,0.866667,0.9,0.966667,0.9,0.866667] recall 0.915385 [0.9,0.866667,0.966667,0.9,0.9,0.966667,1,0.966667,0.933333,0.766667,0.866667,1,0.866667,0.833333,1,0.833333,0.833333,1,0.933333,0.9,0.866667,0.933333,0.933333,1,0.966667,0.866667] recall 0.897436 [0.9,0.933333,0.833333,0.8,0.866667,0.933333,0.966667,0.966667,0.933333,0.833333,0.9,0.966667,0.766667,0.866667,1,0.833333,0.8,1,0.9,0.866667,0.966667,0.833333,0.866667,0.966667,0.966667,0.866667] recall 0.9 [0.966667,0.933333,0.966667,0.9,0.833333,0.966667,0.9,0.833333,0.933333,0.733333,0.9,0.966667,0.7,0.9,0.966667,0.8,0.9,0.966667,0.9,0.933333,0.9,0.833333,0.933333,1,0.9,0.933333] recall 0.90641 [0.966667,0.933333,1,0.833333,0.8,0.966667,0.933333,1,0.933333,0.833333,0.866667,1,0.833333,0.8,0.933333,0.733333,0.9,0.9,0.933333,0.866667,0.933333,0.9,0.966667,1,1,0.8] recall 0.916667 [0.966667,0.866667,0.933333,0.866667,0.9,0.933333,0.9,1,1,0.933333,0.9,0.966667,0.833333,0.9,1,0.766667,0.866667,0.933333,0.8,0.9,1,0.9,0.833333,1,1,0.933333] recall 0.885897 [0.933333,0.9,0.933333,0.8,0.7,0.8,0.933333,1,1,0.9,0.866667,0.9,0.766667,0.933333,0.966667,0.7,0.833333,1,0.933333,0.866667,0.933333,0.8,0.933333,0.966667,0.9,0.833333] recall 0.874359 [0.9,0.9,0.933333,0.866667,0.833333,0.8,0.733333,0.9,0.933333,0.766667,0.866667,1,0.833333,0.833333,0.966667,0.9,0.866667,1,0.9,0.8,0.933333,0.666667,0.766667,0.966667,0.966667,0.9] recall 0.902564 [0.866667,0.866667,0.933333,0.8,0.833333,0.9,0.933333,0.966667,0.9,0.866667,0.966667,0.966667,0.866667,0.866667,0.966667,0.833333,0.933333,1,0.866667,0.866667,0.966667,0.7,0.9,1,1,0.9] recall 0.898718 [0.8,0.866667,1,0.866667,0.833333,0.9,0.966667,0.933333,1,0.866667,0.866667,0.966667,0.8,0.866667,0.933333,0.833333,0.933333,0.933333,0.866667,0.933333,0.933333,0.8,0.933333,0.966667,0.933333,0.833333] recall 0.892308 [0.933333,0.8,0.933333,0.733333,0.733333,0.966667,0.966667,0.966667,0.866667,0.766667,0.866667,0.966667,0.733333,0.833333,0.933333,0.9,0.933333,0.966667,0.933333,0.966667,0.933333,0.866667,0.866667,1,1,0.833333] recall 0.894872 [0.933333,0.866667,0.933333,0.833333,0.766667,0.933333,0.9,1,0.9,0.866667,0.933333,0.9,0.8,0.933333,0.966667,0.8,0.966667,1,0.933333,0.833333,0.966667,0.833333,0.933333,0.966667,0.866667,0.7] recall 0.894872 [0.933333,0.966667,0.9,0.866667,0.7,0.933333,0.9,0.933333,0.966667,0.933333,0.866667,1,0.833333,0.866667,0.966667,0.8,0.833333,0.933333,0.9,0.866667,1,0.866667,0.933333,0.966667,0.933333,0.666667] recall 0.90641 [0.9,0.866667,0.933333,0.933333,0.733333,0.933333,0.9,0.9,0.966667,1,0.866667,0.9,0.833333,0.833333,0.966667,0.933333,0.8,0.933333,0.866667,0.933333,0.966667,0.966667,0.933333,0.966667,0.933333,0.866667] recall 0.908974 [0.966667,0.8,0.966667,0.933333,0.866667,1,0.933333,1,0.9,0.866667,0.833333,0.933333,0.833333,0.866667,0.966667,0.866667,0.933333,0.9,0.933333,0.866667,1,0.766667,0.9,1,0.933333,0.866667] recall 0.901282 [0.933333,0.8,0.966667,1,0.833333,1,0.933333,0.966667,0.933333,0.733333,0.933333,1,0.7,0.866667,0.933333,0.866667,0.9,0.966667,0.966667,0.866667,0.933333,0.833333,0.933333,0.933333,0.933333,0.766667] recall 0.896154 [0.966667,0.866667,0.9,0.9,0.7,0.933333,0.933333,0.933333,0.933333,0.766667,0.9,0.966667,0.8,0.9,0.833333,0.7,0.933333,0.966667,0.966667,1,0.933333,0.866667,0.966667,0.966667,0.933333,0.833333] recall 0.897436 [0.8,0.766667,1,0.9,0.733333,0.966667,0.966667,0.933333,0.933333,0.933333,0.966667,0.966667,0.866667,0.866667,0.933333,0.866667,0.933333,0.966667,0.966667,0.9,0.833333,0.633333,0.866667,1,1,0.833333] recall 0.892308 [0.966667,0.9,0.933333,0.866667,0.733333,0.8,0.933333,0.966667,0.833333,0.8,0.866667,0.966667,0.766667,0.833333,0.933333,0.766667,0.9,0.933333,0.9,0.866667,0.966667,0.933333,0.933333,1,1,0.9] recall 0.917949 [0.966667,0.733333,1,0.9,0.933333,0.933333,0.933333,0.866667,0.933333,0.933333,0.933333,0.966667,0.866667,0.766667,0.966667,0.933333,0.9,0.966667,0.966667,0.9,1,0.9,0.866667,1,0.9,0.9] recall 0.896154 [0.966667,0.866667,0.933333,0.933333,0.833333,0.933333,0.8,0.866667,0.9,0.8,0.733333,0.966667,0.8,0.933333,0.966667,0.933333,0.9,0.966667,0.933333,0.766667,0.966667,0.9,0.833333,1,0.966667,0.9] recall 0.892308 [0.9,0.9,0.966667,0.866667,0.8,0.966667,0.9,0.933333,0.966667,0.766667,0.833333,0.966667,0.9,0.766667,1,0.8,0.9,0.933333,0.933333,0.866667,0.9,0.833333,0.833333,0.966667,0.9,0.9] recall 0.910256 [0.9,0.766667,0.933333,0.966667,0.733333,0.966667,0.933333,1,0.9,0.933333,0.733333,1,0.8,0.833333,1,0.866667,0.966667,1,1,0.866667,0.933333,0.866667,0.966667,0.966667,0.933333,0.9] recall 0.888462 [0.833333,0.733333,0.866667,0.833333,0.733333,0.933333,0.9,0.966667,0.933333,0.9,0.866667,1,0.8,0.8,0.933333,0.8,0.9,1,0.966667,0.8,0.966667,0.866667,0.933333,0.966667,0.933333,0.933333] recall 0.888462 [0.933333,0.933333,0.933333,0.833333,0.633333,0.8,0.866667,0.933333,0.966667,0.733333,0.9,0.966667,0.833333,0.8,0.966667,0.8,0.966667,0.933333,0.933333,0.933333,1,0.8,0.933333,0.933333,1,0.833333] recall 0.902564 [0.966667,0.8,0.9,0.966667,0.766667,0.9,0.933333,0.933333,0.9,0.9,0.933333,0.966667,0.733333,0.933333,0.966667,0.633333,0.933333,0.966667,0.966667,0.9,0.966667,0.866667,0.9,1,0.933333,0.9] recall 0.907574 [0.9,0.833333,0.966667,0.833333,0.8,1,0.933333,0.966667,1,0.833333,0.933333,0.966667,0.965517,0.866667,0.933333,0.933333,0.8,0.933333,0.966667,0.833333,0.933333,0.8,0.866667,0.966667,0.933333,0.9] recall 0.910141 [0.966667,0.933333,0.8,0.866667,0.8,0.933333,0.866667,1,1,0.866667,0.9,0.966667,0.931034,0.866667,0.933333,0.766667,0.866667,1,0.9,0.966667,1,0.933333,0.866667,1,0.933333,0.8] recall 0.894737 [0.966667,0.933333,0.9,0.966667,0.8,0.931034,0.8,1,0.933333,0.833333,0.933333,1,0.766667,0.866667,1,0.7,0.866667,0.966667,0.933333,0.8,0.9,0.666667,0.933333,0.966667,0.966667,0.933333] recall 0.896021 [0.933333,0.833333,0.9,0.833333,0.666667,1,0.833333,0.933333,0.9,0.9,0.833333,1,0.862069,0.866667,0.966667,0.8,0.933333,0.933333,0.9,0.9,0.933333,0.9,0.933333,0.933333,1,0.866667] recall 0.898588 [0.933333,0.933333,0.966667,0.933333,0.833333,0.827586,0.866667,0.933333,0.966667,0.933333,0.966667,0.966667,0.7,0.866667,0.9,0.766667,0.7,0.933333,0.933333,0.933333,0.833333,0.866667,0.966667,1,0.966667,0.933333] recall 0.898588 [0.933333,0.866667,0.933333,0.933333,0.7,0.896552,0.833333,0.966667,0.933333,0.866667,0.9,1,0.8,0.8,0.933333,0.866667,0.9,0.966667,0.966667,0.866667,0.966667,0.8,0.866667,0.966667,0.966667,0.933333] recall 0.892169 [0.933333,0.866667,0.966667,0.933333,0.833333,0.827586,0.866667,0.933333,0.866667,0.833333,0.866667,0.933333,0.833333,0.933333,0.866667,0.8,0.966667,0.933333,0.9,0.9,0.866667,0.733333,0.9,1,1,0.9] recall 0.908858 [1,0.8,0.933333,0.866667,0.9,0.833333,0.966667,0.966667,0.966667,0.966667,1,1,0.862069,0.766667,0.933333,0.833333,1,1,0.866667,0.933333,0.966667,0.866667,0.8,1,0.866667,0.733333] recall 0.883184 [0.966667,0.766667,0.866667,0.8,0.833333,0.8,0.933333,0.933333,0.933333,0.933333,0.866667,1,0.724138,0.833333,0.966667,0.733333,0.7,1,1,0.866667,0.933333,0.833333,1,1,0.9,0.833333] recall 0.915276 [0.966667,0.866667,1,0.9,0.833333,0.931034,0.833333,0.966667,0.933333,0.933333,0.866667,1,0.9,0.866667,0.966667,0.866667,0.9,0.933333,0.866667,0.8,0.933333,0.9,0.866667,1,1,0.966667] recall 0.893453 [1,0.866667,0.933333,0.9,0.766667,0.896552,0.766667,1,0.833333,0.866667,0.8,1,0.7,0.866667,1,0.866667,0.933333,0.966667,0.933333,0.833333,0.9,0.9,0.866667,1,0.966667,0.866667] recall 0.897304 [0.966667,0.766667,0.8,0.833333,0.833333,0.896552,0.966667,0.933333,1,0.833333,0.866667,0.866667,0.733333,0.833333,1,0.8,1,0.966667,0.966667,0.866667,1,0.933333,0.933333,0.966667,0.933333,0.833333] recall 0.903723 [0.933333,0.9,0.9,0.833333,0.7,0.862069,0.9,1,0.966667,0.966667,0.9,0.933333,0.866667,0.866667,0.933333,0.833333,0.966667,0.933333,0.9,0.9,1,0.9,0.9,1,0.933333,0.766667] recall 0.90629 [0.9,0.9,1,0.866667,0.833333,0.931034,0.8,1,0.866667,0.8,0.833333,0.966667,0.7,0.866667,0.966667,0.866667,0.933333,1,0.933333,0.966667,0.966667,0.866667,0.933333,1,1,0.866667] recall 0.896021 [0.9,0.866667,0.933333,0.833333,0.766667,0.931034,0.966667,1,0.966667,0.9,0.766667,0.966667,0.833333,0.9,0.9,0.766667,0.933333,0.933333,0.866667,0.866667,0.966667,0.8,0.933333,0.966667,0.966667,0.866667] recall 0.90629 [1,0.8,1,0.866667,0.733333,0.931034,0.833333,0.966667,0.9,0.9,0.966667,1,0.9,0.933333,0.9,0.866667,0.866667,1,0.866667,0.866667,1,0.8,0.9,0.966667,0.966667,0.833333] recall 0.907574 [0.9,0.9,0.933333,0.933333,0.866667,0.896552,0.8,0.966667,0.966667,0.966667,0.866667,0.966667,0.833333,0.866667,0.966667,0.866667,0.866667,0.966667,0.9,0.933333,0.9,0.833333,0.9,0.966667,0.9,0.933333] recall 0.897304 [0.933333,0.966667,0.966667,0.866667,0.7,0.965517,1,0.966667,0.933333,0.766667,0.9,1,0.833333,0.833333,0.866667,0.8,0.866667,1,0.966667,0.833333,0.9,0.8,0.933333,0.966667,1,0.766667] recall 0.896021 [0.8,0.966667,0.966667,0.9,0.866667,0.931034,0.866667,1,0.966667,0.966667,0.766667,0.966667,0.733333,0.866667,0.966667,0.866667,0.866667,0.966667,0.9,0.833333,0.933333,0.733333,0.933333,0.966667,0.9,0.866667] recall 0.903723 [0.933333,0.933333,0.933333,0.9,0.633333,0.965517,0.966667,0.966667,0.933333,0.966667,0.766667,0.933333,0.766667,0.8,0.966667,0.8,0.933333,0.966667,0.933333,0.866667,0.966667,0.833333,0.966667,1,0.966667,0.9] recall 0.921694 [0.833333,0.866667,1,0.966667,0.9,0.931034,0.833333,0.966667,0.966667,0.966667,0.866667,0.966667,0.766667,0.866667,0.966667,0.866667,0.933333,1,0.966667,0.933333,0.966667,0.866667,0.933333,1,0.933333,0.9] recall 0.908858 [0.966667,0.933333,0.966667,0.9,0.933333,0.896552,0.8,0.966667,0.966667,0.9,0.9,0.966667,0.766667,0.8,1,0.833333,0.9,0.9,1,0.833333,0.9,0.866667,0.866667,1,1,0.866667] recall 0.912709 [0.966667,0.733333,0.866667,0.966667,0.866667,0.933333,0.933333,0.966667,0.933333,0.866667,0.966667,0.966667,0.724138,0.8,0.966667,0.866667,0.966667,0.966667,1,0.9,0.933333,0.933333,0.966667,0.966667,0.866667,0.9] recall 0.897304 [0.933333,0.966667,0.866667,0.833333,0.7,0.965517,0.9,0.966667,0.966667,0.8,0.866667,0.933333,0.8,0.933333,0.9,0.9,0.966667,0.933333,0.9,0.833333,1,0.833333,0.866667,0.966667,0.9,0.9] recall 0.898588 [1,0.866667,0.966667,0.866667,0.833333,1,0.933333,0.966667,0.933333,0.966667,0.866667,0.966667,0.758621,0.866667,0.933333,0.8,0.966667,0.966667,0.833333,0.733333,0.933333,0.866667,0.833333,0.966667,1,0.733333] recall 0.912709 [0.9,0.833333,0.966667,0.9,0.833333,0.9,0.9,0.933333,0.966667,0.933333,0.933333,0.933333,0.793103,0.833333,0.933333,0.766667,0.966667,0.933333,1,0.833333,0.9,0.933333,0.966667,0.966667,1,0.966667] recall 0.912709 [0.933333,0.966667,0.933333,0.9,0.7,0.933333,0.933333,1,1,0.833333,0.866667,0.966667,0.793103,0.733333,1,0.866667,1,0.966667,0.966667,0.833333,0.966667,0.833333,0.966667,0.966667,0.933333,0.933333] recall 0.90629 [0.833333,0.933333,0.9,0.933333,0.966667,0.862069,0.933333,1,1,0.8,0.833333,0.933333,0.866667,0.833333,0.966667,0.866667,0.833333,0.9,0.933333,0.9,1,0.766667,0.9,1,0.933333,0.933333] recall 0.899872 [0.933333,0.833333,0.966667,0.966667,0.833333,0.862069,0.833333,0.966667,0.933333,0.866667,0.8,0.933333,0.833333,0.766667,0.966667,0.766667,0.966667,1,0.966667,0.833333,1,0.8,0.966667,1,1,0.8] recall 0.893453 [0.933333,0.766667,0.966667,0.866667,0.9,0.866667,0.966667,0.933333,0.966667,0.833333,0.833333,0.933333,0.827586,0.866667,0.9,0.866667,0.9,0.9,0.966667,0.866667,0.933333,0.866667,0.933333,0.966667,0.833333,0.833333] relative_absolute_error 0.257813 relative_absolute_error 0.23991 relative_absolute_error 0.246477 relative_absolute_error 0.253446 relative_absolute_error 0.239442 relative_absolute_error 0.242708 relative_absolute_error 0.25725 relative_absolute_error 0.234645 relative_absolute_error 0.258359 relative_absolute_error 0.238875 relative_absolute_error 0.243193 relative_absolute_error 0.241504 relative_absolute_error 0.259524 relative_absolute_error 0.249168 relative_absolute_error 0.257678 relative_absolute_error 0.264756 relative_absolute_error 0.247776 relative_absolute_error 0.237367 relative_absolute_error 0.249619 relative_absolute_error 0.243701 relative_absolute_error 0.252757 relative_absolute_error 0.238844 relative_absolute_error 0.249262 relative_absolute_error 0.241318 relative_absolute_error 0.248281 relative_absolute_error 0.250928 relative_absolute_error 0.259034 relative_absolute_error 0.254537 relative_absolute_error 0.24562 relative_absolute_error 0.242433 relative_absolute_error 0.242588 relative_absolute_error 0.238697 relative_absolute_error 0.246763 relative_absolute_error 0.246559 relative_absolute_error 0.231267 relative_absolute_error 0.261256 relative_absolute_error 0.247103 relative_absolute_error 0.248967 relative_absolute_error 0.246481 relative_absolute_error 0.261019 relative_absolute_error 0.249186 relative_absolute_error 0.252768 relative_absolute_error 0.244393 relative_absolute_error 0.2533 relative_absolute_error 0.249467 relative_absolute_error 0.237722 relative_absolute_error 0.250685 relative_absolute_error 0.24588 relative_absolute_error 0.241244 relative_absolute_error 0.240399 relative_absolute_error 0.246753 relative_absolute_error 0.264255 relative_absolute_error 0.243621 relative_absolute_error 0.246666 relative_absolute_error 0.246364 relative_absolute_error 0.244708 relative_absolute_error 0.249061 relative_absolute_error 0.247079 relative_absolute_error 0.237613 relative_absolute_error 0.256408 relative_absolute_error 0.251342 relative_absolute_error 0.254672 relative_absolute_error 0.252001 relative_absolute_error 0.239816 relative_absolute_error 0.241987 relative_absolute_error 0.250778 relative_absolute_error 0.23836 relative_absolute_error 0.253513 relative_absolute_error 0.246977 relative_absolute_error 0.245467 relative_absolute_error 0.246025 relative_absolute_error 0.251046 relative_absolute_error 0.251079 relative_absolute_error 0.242641 relative_absolute_error 0.248465 relative_absolute_error 0.248596 relative_absolute_error 0.255847 relative_absolute_error 0.24601 relative_absolute_error 0.264068 relative_absolute_error 0.239371 relative_absolute_error 0.247473 relative_absolute_error 0.255048 relative_absolute_error 0.25247 relative_absolute_error 0.248575 relative_absolute_error 0.255405 relative_absolute_error 0.242299 relative_absolute_error 0.250792 relative_absolute_error 0.253577 relative_absolute_error 0.245216 relative_absolute_error 0.254406 relative_absolute_error 0.231852 relative_absolute_error 0.243499 relative_absolute_error 0.244228 relative_absolute_error 0.250139 relative_absolute_error 0.258392 relative_absolute_error 0.241982 relative_absolute_error 0.235848 relative_absolute_error 0.256166 relative_absolute_error 0.247823 relative_absolute_error 0.259252 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 0.083201 root_mean_squared_error 0.078382 root_mean_squared_error 0.08065 root_mean_squared_error 0.082273 root_mean_squared_error 0.078751 root_mean_squared_error 0.077366 root_mean_squared_error 0.083624 root_mean_squared_error 0.076693 root_mean_squared_error 0.083603 root_mean_squared_error 0.077669 root_mean_squared_error 0.079702 root_mean_squared_error 0.078745 root_mean_squared_error 0.083742 root_mean_squared_error 0.079018 root_mean_squared_error 0.083618 root_mean_squared_error 0.085976 root_mean_squared_error 0.079659 root_mean_squared_error 0.077854 root_mean_squared_error 0.08025 root_mean_squared_error 0.078616 root_mean_squared_error 0.081543 root_mean_squared_error 0.078514 root_mean_squared_error 0.081674 root_mean_squared_error 0.080357 root_mean_squared_error 0.08177 root_mean_squared_error 0.081955 root_mean_squared_error 0.084364 root_mean_squared_error 0.082728 root_mean_squared_error 0.080236 root_mean_squared_error 0.078484 root_mean_squared_error 0.079417 root_mean_squared_error 0.079698 root_mean_squared_error 0.080954 root_mean_squared_error 0.079861 root_mean_squared_error 0.07545 root_mean_squared_error 0.08427 root_mean_squared_error 0.080436 root_mean_squared_error 0.082362 root_mean_squared_error 0.077964 root_mean_squared_error 0.084822 root_mean_squared_error 0.081534 root_mean_squared_error 0.08252 root_mean_squared_error 0.079497 root_mean_squared_error 0.082911 root_mean_squared_error 0.079626 root_mean_squared_error 0.078089 root_mean_squared_error 0.081926 root_mean_squared_error 0.080206 root_mean_squared_error 0.079459 root_mean_squared_error 0.078876 root_mean_squared_error 0.081098 root_mean_squared_error 0.086148 root_mean_squared_error 0.080196 root_mean_squared_error 0.080086 root_mean_squared_error 0.080191 root_mean_squared_error 0.080156 root_mean_squared_error 0.081324 root_mean_squared_error 0.079601 root_mean_squared_error 0.078187 root_mean_squared_error 0.08232 root_mean_squared_error 0.081493 root_mean_squared_error 0.083207 root_mean_squared_error 0.080133 root_mean_squared_error 0.077588 root_mean_squared_error 0.079696 root_mean_squared_error 0.081323 root_mean_squared_error 0.077182 root_mean_squared_error 0.083326 root_mean_squared_error 0.082086 root_mean_squared_error 0.080285 root_mean_squared_error 0.07914 root_mean_squared_error 0.081829 root_mean_squared_error 0.082607 root_mean_squared_error 0.080389 root_mean_squared_error 0.080025 root_mean_squared_error 0.081161 root_mean_squared_error 0.083391 root_mean_squared_error 0.079348 root_mean_squared_error 0.085411 root_mean_squared_error 0.078278 root_mean_squared_error 0.081693 root_mean_squared_error 0.08163 root_mean_squared_error 0.081415 root_mean_squared_error 0.080071 root_mean_squared_error 0.082778 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