368919 2 Joaquin Vanschoren 4218 Supervised Classification predictive_accuracy 1168 weka.BayesNet_K2(6) 1921 weka.classifiers.bayes.BayesNet -- -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5 D true 1168 Q weka.classifiers.bayes.net.search.local.K2 1168 P 1 1169 S BAYES 1169 weka weka_3.7.12 378 ipums_la_99-small https://www.openml.org/data/download/52418/ipums_la_99-small.arff -1 1279519 description https://api.openml.org/data/download/1279519/weka_generated_run7474567876856494213.xml -1 1279522 model_readable https://api.openml.org/data/download/1279522/WekaModel_weka.classifiers.bayes.BayesNet4513467906611113987.model -1 1279521 model_serialized https://api.openml.org/data/download/1279521/WekaSerialized_weka.classifiers.bayes.BayesNet8680169910667060972.model -1 1279520 predictions https://api.openml.org/data/download/1279520/weka_generated_predictions2859915473890974193.arff area_under_roc_curve 0.955209 [0.994452,0.890871,0.87383,0.852055,0.877651,0.89704,0.914507] average_cost 0 f_measure 0.72213 [0.911848,0.427302,0.427289,0.211034,0.363103,0.21222,0.309696] kappa 0.498123 kb_relative_information_score 39807.821003 mean_absolute_error 0.089373 mean_prior_absolute_error 0.155821 number_of_instances 88440 [58030,7100,9010,4030,5600,2700,1970] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.76647 [0.996486,0.363618,0.386362,0.246276,0.333682,0.235747,0.2031] predictive_accuracy 0.695782 prior_entropy 1.759357 recall 0.695782 [0.840462,0.518028,0.477913,0.184615,0.398214,0.192963,0.651777] relative_absolute_error 0.573562 root_mean_prior_squared_error 0.279062 root_mean_squared_error 0.263131 root_relative_squared_error 0.942914 scimark_benchmark 908.223072 [520.8243212662653, 914.9834078183218, 467.4540078787634, 894.6893994105935, 1743.1642237068993] total_cost 0 usercpu_time_millis 270 usercpu_time_millis_testing 220 usercpu_time_millis_training 50 area_under_roc_curve 0.953853 [0.994149,0.908537,0.863955,0.855991,0.852049,0.852456,0.966358] area_under_roc_curve 0.950475 [0.992679,0.88581,0.864892,0.84272,0.849313,0.895191,0.916191] area_under_roc_curve 0.952524 [0.994899,0.878768,0.875318,0.832559,0.860051,0.888867,0.915607] area_under_roc_curve 0.954773 [0.992759,0.858679,0.894137,0.87213,0.866728,0.892731,0.96578] area_under_roc_curve 0.950213 [0.994582,0.869035,0.838372,0.850991,0.873018,0.921372,0.906301] area_under_roc_curve 0.949963 [0.993325,0.890283,0.882991,0.801997,0.853169,0.897889,0.840809] area_under_roc_curve 0.95731 [0.996218,0.898545,0.882642,0.85466,0.878166,0.873608,0.911561] area_under_roc_curve 0.954729 [0.993755,0.896866,0.863061,0.891538,0.859922,0.888932,0.919595] area_under_roc_curve 0.956402 [0.993427,0.907819,0.860678,0.881243,0.88563,0.877083,0.939624] area_under_roc_curve 0.959084 [0.996054,0.902369,0.910622,0.797855,0.880482,0.887723,0.94341] area_under_roc_curve 0.957587 [0.994851,0.910319,0.871167,0.882485,0.859911,0.907256,0.92555] area_under_roc_curve 0.951268 [0.989809,0.876068,0.867834,0.876994,0.867935,0.892493,0.938343] area_under_roc_curve 0.957521 [0.995258,0.908883,0.875968,0.829384,0.899233,0.894824,0.908989] area_under_roc_curve 0.947568 [0.995689,0.865825,0.868477,0.824497,0.831477,0.877234,0.861908] area_under_roc_curve 0.954311 [0.996668,0.881363,0.852802,0.846435,0.893288,0.916127,0.877746] area_under_roc_curve 0.956276 [0.995632,0.895422,0.867659,0.832648,0.886406,0.915307,0.926012] area_under_roc_curve 0.959537 [0.994168,0.907646,0.881314,0.860592,0.898372,0.879284,0.967225] area_under_roc_curve 0.956294 [0.993834,0.861863,0.894661,0.871997,0.885835,0.898148,0.922717] area_under_roc_curve 0.957909 [0.995609,0.884322,0.885199,0.866361,0.867579,0.898148,0.967861] area_under_roc_curve 0.964081 [0.996645,0.912802,0.893781,0.892204,0.881925,0.929552,0.936879] area_under_roc_curve 0.956704 [0.993727,0.879079,0.895975,0.867573,0.880805,0.878853,0.928984] area_under_roc_curve 0.956766 [0.995244,0.903848,0.874479,0.847258,0.868452,0.913947,0.925125] area_under_roc_curve 0.956301 [0.995824,0.884659,0.86659,0.89991,0.864467,0.921048,0.882825] area_under_roc_curve 0.958347 [0.996108,0.907222,0.873906,0.854068,0.877456,0.903522,0.931936] area_under_roc_curve 0.951564 [0.99318,0.888916,0.877848,0.876065,0.842463,0.84665,0.894827] area_under_roc_curve 0.961457 [0.996139,0.907361,0.889294,0.883077,0.879965,0.884097,0.960116] area_under_roc_curve 0.952598 [0.989274,0.897386,0.887687,0.849053,0.894031,0.879327,0.84526] area_under_roc_curve 0.957611 [0.993081,0.920156,0.866541,0.85037,0.902895,0.897824,0.918382] area_under_roc_curve 0.953604 [0.991762,0.900734,0.863634,0.831716,0.886653,0.927566,0.904046] area_under_roc_curve 0.954033 [0.993645,0.889236,0.880091,0.842219,0.860762,0.910623,0.90948] area_under_roc_curve 0.954082 [0.992886,0.879737,0.861253,0.843717,0.895528,0.950747,0.907439] area_under_roc_curve 0.955171 [0.997075,0.862209,0.882055,0.847441,0.885856,0.882371,0.910462] area_under_roc_curve 0.953394 [0.995435,0.901599,0.883266,0.857097,0.818316,0.895903,0.887079] area_under_roc_curve 0.95522 [0.994143,0.876034,0.875723,0.863787,0.902044,0.901925,0.867081] area_under_roc_curve 0.95368 [0.991832,0.8937,0.858949,0.839911,0.897693,0.90799,0.937225] area_under_roc_curve 0.951672 [0.993649,0.867166,0.869135,0.895547,0.871349,0.84078,0.896734] area_under_roc_curve 0.954541 [0.995817,0.87394,0.884096,0.845625,0.869679,0.874709,0.931719] area_under_roc_curve 0.953479 [0.993581,0.904852,0.847491,0.863166,0.875539,0.90894,0.903613] area_under_roc_curve 0.953642 [0.993635,0.893657,0.868367,0.871435,0.857315,0.916861,0.878584] area_under_roc_curve 0.9479 [0.989367,0.874589,0.847946,0.830266,0.906891,0.862449,0.925838] area_under_roc_curve 0.953232 [0.995446,0.878203,0.865365,0.833486,0.857369,0.914279,0.951273] area_under_roc_curve 0.957422 [0.995176,0.911041,0.879163,0.830776,0.887368,0.911491,0.890799] area_under_roc_curve 0.955626 [0.995707,0.872694,0.88749,0.831502,0.870493,0.894486,0.963455] area_under_roc_curve 0.960161 [0.995865,0.915138,0.874629,0.862903,0.882376,0.902027,0.965379] area_under_roc_curve 0.955878 [0.993194,0.927152,0.872096,0.814816,0.885104,0.891784,0.925038] area_under_roc_curve 0.954777 [0.9909,0.881451,0.89725,0.828993,0.877782,0.940706,0.916946] area_under_roc_curve 0.961807 [0.996129,0.885618,0.905626,0.871684,0.878957,0.928238,0.951263] area_under_roc_curve 0.957695 [0.994394,0.885167,0.875518,0.875228,0.89882,0.875816,0.965561] area_under_roc_curve 0.952756 [0.994836,0.862845,0.863735,0.867054,0.858092,0.905873,0.956434] area_under_roc_curve 0.957358 [0.996036,0.898013,0.866044,0.874172,0.885956,0.879511,0.931579] area_under_roc_curve 0.948819 [0.994955,0.856504,0.85974,0.792832,0.894723,0.903259,0.86441] area_under_roc_curve 0.953431 [0.995324,0.88463,0.85685,0.856694,0.875669,0.910325,0.886777] area_under_roc_curve 0.950831 [0.991263,0.875829,0.844291,0.829221,0.908299,0.913177,0.937124] area_under_roc_curve 0.955289 [0.992655,0.905488,0.875105,0.821746,0.906951,0.911189,0.873867] area_under_roc_curve 0.95911 [0.995069,0.896298,0.893129,0.882736,0.874935,0.883919,0.928415] area_under_roc_curve 0.95045 [0.994918,0.855118,0.857774,0.835098,0.874881,0.900449,0.93091] area_under_roc_curve 0.952979 [0.994635,0.896298,0.842177,0.868081,0.854868,0.915446,0.943748] area_under_roc_curve 0.955242 [0.996455,0.900802,0.884215,0.822469,0.869554,0.889753,0.869151] area_under_roc_curve 0.952056 [0.995278,0.848899,0.877953,0.859228,0.87996,0.875211,0.891147] area_under_roc_curve 0.951536 [0.991833,0.851272,0.878911,0.887871,0.881772,0.871861,0.896319] area_under_roc_curve 0.95838 [0.99428,0.881988,0.880458,0.895216,0.891218,0.892973,0.941811] area_under_roc_curve 0.955238 [0.993957,0.902543,0.859992,0.839411,0.880122,0.915186,0.944097] area_under_roc_curve 0.959666 [0.995831,0.904128,0.88998,0.86952,0.885093,0.884956,0.911574] area_under_roc_curve 0.958725 [0.996447,0.907229,0.870361,0.916978,0.852236,0.907321,0.895224] area_under_roc_curve 0.956991 [0.994246,0.888372,0.880912,0.875633,0.867279,0.921561,0.926833] area_under_roc_curve 0.958451 [0.994589,0.912383,0.874818,0.86623,0.882732,0.879014,0.958625] area_under_roc_curve 0.959001 [0.997643,0.889481,0.892093,0.823089,0.894022,0.886426,0.937992] area_under_roc_curve 0.952683 [0.991104,0.883097,0.88059,0.810441,0.907781,0.881585,0.91798] area_under_roc_curve 0.959154 [0.994864,0.906822,0.888546,0.847915,0.895607,0.92303,0.87773] area_under_roc_curve 0.950094 [0.992029,0.88418,0.849545,0.827417,0.883023,0.894896,0.933404] area_under_roc_curve 0.955852 [0.994941,0.905497,0.894284,0.82617,0.881901,0.855504,0.880006] area_under_roc_curve 0.957266 [0.993668,0.912531,0.88991,0.871845,0.86123,0.859912,0.934693] area_under_roc_curve 0.955286 [0.995307,0.902699,0.869815,0.839055,0.89565,0.896625,0.844618] area_under_roc_curve 0.95425 [0.994309,0.901547,0.865484,0.865699,0.862955,0.900233,0.884722] area_under_roc_curve 0.956919 [0.993438,0.895908,0.885027,0.843498,0.88092,0.911124,0.939439] area_under_roc_curve 0.955698 [0.993994,0.897381,0.866359,0.878303,0.87555,0.900514,0.90787] area_under_roc_curve 0.949644 [0.991839,0.879338,0.845634,0.868143,0.888803,0.880332,0.870573] area_under_roc_curve 0.958624 [0.995449,0.890182,0.894815,0.877236,0.851633,0.92074,0.934317] area_under_roc_curve 0.953944 [0.99453,0.897779,0.860985,0.824719,0.893892,0.902157,0.891175] area_under_roc_curve 0.954199 [0.99504,0.915692,0.8671,0.851126,0.833031,0.907126,0.907407] area_under_roc_curve 0.956671 [0.995009,0.898697,0.874454,0.841366,0.889816,0.929124,0.875637] area_under_roc_curve 0.959291 [0.996923,0.885566,0.885355,0.836774,0.900265,0.906867,0.94349] area_under_roc_curve 0.958115 [0.996532,0.905419,0.858403,0.880865,0.885276,0.886512,0.934925] area_under_roc_curve 0.955074 [0.994796,0.895137,0.865253,0.843128,0.884479,0.878646,0.944821] area_under_roc_curve 0.954984 [0.997958,0.878437,0.859733,0.860012,0.887778,0.866891,0.906134] area_under_roc_curve 0.9574 [0.996399,0.907862,0.860376,0.838951,0.89827,0.887311,0.935995] area_under_roc_curve 0.954787 [0.997108,0.893379,0.855577,0.843039,0.866427,0.925775,0.902025] area_under_roc_curve 0.955062 [0.997045,0.879216,0.879387,0.792728,0.881384,0.919054,0.926939] area_under_roc_curve 0.955859 [0.996631,0.889299,0.888455,0.823978,0.887282,0.834824,0.932234] area_under_roc_curve 0.958024 [0.998001,0.896627,0.878359,0.836804,0.892846,0.913285,0.860475] area_under_roc_curve 0.955702 [0.995341,0.905098,0.871348,0.86601,0.860356,0.889904,0.900608] area_under_roc_curve 0.956317 [0.994431,0.887896,0.877435,0.862752,0.908601,0.877825,0.875608] area_under_roc_curve 0.952231 [0.989391,0.873958,0.885803,0.854191,0.871409,0.89105,0.956366] area_under_roc_curve 0.954739 [0.993946,0.878463,0.882186,0.80314,0.913723,0.887549,0.923785] area_under_roc_curve 0.961341 [0.996866,0.893188,0.910565,0.851126,0.88478,0.913674,0.900694] area_under_roc_curve 0.960064 [0.995673,0.908165,0.881269,0.886789,0.879831,0.919357,0.89239] area_under_roc_curve 0.952775 [0.993733,0.890962,0.878009,0.831502,0.849821,0.930658,0.881568] area_under_roc_curve 0.947275 [0.99107,0.896636,0.850035,0.864203,0.829742,0.891309,0.865336] area_under_roc_curve 0.955301 [0.99257,0.909447,0.874118,0.834153,0.878019,0.910195,0.922193] area_under_roc_curve 0.954552 [0.994518,0.873742,0.857249,0.877236,0.882775,0.91711,0.926418] 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 0.716218 [0.912313,0.44186,0.380488,0.205882,0.315789,0.173913,0.378378] f_measure 0.711504 [0.914179,0.411429,0.374332,0.140845,0.372881,0.156863,0.25] f_measure 0.720407 [0.913327,0.406977,0.451282,0.164384,0.347107,0.177778,0.32967] f_measure 0.719426 [0.909091,0.375,0.4689,0.231884,0.338983,0.181818,0.347826] f_measure 0.717521 [0.907563,0.43956,0.331551,0.235294,0.372881,0.350877,0.344828] f_measure 0.71428 [0.917516,0.413043,0.395722,0.117647,0.363636,0.15,0.25] f_measure 0.732984 [0.913003,0.477273,0.462312,0.228571,0.382609,0.225806,0.303797] f_measure 0.699158 [0.89058,0.384181,0.396135,0.246154,0.3125,0.2,0.282609] f_measure 0.73698 [0.91937,0.488372,0.435644,0.278481,0.396226,0.208333,0.261905] f_measure 0.730399 [0.923077,0.461538,0.473684,0.151515,0.301587,0.212766,0.3] f_measure 0.730456 [0.913165,0.488372,0.428571,0.28169,0.354839,0.208333,0.295455] f_measure 0.699604 [0.912477,0.342857,0.384615,0.126984,0.266667,0.142857,0.318182] f_measure 0.719887 [0.91215,0.453488,0.431373,0.114286,0.393701,0.173913,0.246914] f_measure 0.711303 [0.903104,0.377143,0.429268,0.197183,0.341463,0.28,0.240964] f_measure 0.723885 [0.908068,0.424242,0.436893,0.2,0.424242,0.204082,0.317073] f_measure 0.727191 [0.90824,0.376471,0.442308,0.272727,0.380165,0.4,0.317073] f_measure 0.720245 [0.89877,0.453039,0.431925,0.257143,0.393939,0.153846,0.384615] f_measure 0.738752 [0.928309,0.409357,0.453202,0.222222,0.336134,0.318182,0.414634] f_measure 0.728895 [0.917209,0.4,0.454545,0.222222,0.413223,0.137931,0.355556] f_measure 0.740654 [0.923361,0.491228,0.489583,0.171429,0.372093,0.190476,0.361446] f_measure 0.728616 [0.918669,0.435294,0.436548,0.25,0.327586,0.226415,0.325] f_measure 0.71785 [0.904986,0.445596,0.40625,0.264706,0.295082,0.301887,0.303797] f_measure 0.725395 [0.907042,0.412121,0.418605,0.346667,0.368,0.255319,0.333333] f_measure 0.716405 [0.910965,0.429448,0.416667,0.142857,0.348485,0.166667,0.351351] f_measure 0.723043 [0.918216,0.425806,0.454545,0.235294,0.311111,0.086957,0.304348] f_measure 0.72451 [0.907042,0.468085,0.449761,0.151515,0.371681,0.244898,0.35] f_measure 0.735159 [0.926471,0.444444,0.473118,0.179104,0.396947,0.208333,0.159091] f_measure 0.73777 [0.928177,0.494118,0.379487,0.197183,0.4,0.264151,0.35] f_measure 0.732711 [0.921223,0.464286,0.40201,0.222222,0.389831,0.264151,0.311111] f_measure 0.721639 [0.910112,0.369942,0.423077,0.236842,0.357143,0.333333,0.352941] f_measure 0.724092 [0.906867,0.360465,0.436364,0.147059,0.45,0.434783,0.345679] f_measure 0.72993 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[0.907042,0.4,0.418182,0.176471,0.338983,0.208333,0.314607] f_measure 0.714816 [0.91922,0.405063,0.368664,0.155844,0.296296,0.266667,0.348837] f_measure 0.720749 [0.91182,0.43038,0.444444,0.225,0.325581,0.2,0.25641] f_measure 0.715984 [0.91284,0.366864,0.451923,0.194444,0.351145,0.139535,0.282051] f_measure 0.723379 [0.912313,0.4125,0.45283,0.268657,0.357724,0.150943,0.271605] f_measure 0.731968 [0.926335,0.397516,0.436548,0.173913,0.432,0.136364,0.372093] f_measure 0.724172 [0.918063,0.405063,0.454545,0.205128,0.403226,0.086957,0.244444] f_measure 0.721388 [0.915191,0.465909,0.437811,0.095238,0.356589,0.156863,0.32] f_measure 0.726343 [0.916201,0.431138,0.417476,0.35443,0.353982,0.136364,0.235294] f_measure 0.720436 [0.929293,0.389937,0.374384,0.191781,0.336134,0.142857,0.313253] f_measure 0.714301 [0.892278,0.484848,0.441315,0.176471,0.385185,0.196078,0.298851] f_measure 0.721584 [0.903592,0.43617,0.459184,0.222222,0.372093,0.163265,0.368421] f_measure 0.70739 [0.896486,0.406593,0.389744,0.230769,0.4,0.214286,0.190476] f_measure 0.759648 [0.933945,0.52071,0.5,0.219178,0.383333,0.428571,0.307692] f_measure 0.706256 [0.899152,0.426966,0.394089,0.1875,0.367647,0.115385,0.297297] f_measure 0.734492 [0.917209,0.436364,0.510204,0.24,0.34188,0.204082,0.307692] f_measure 0.709164 [0.909944,0.468571,0.409756,0.123077,0.243902,0.117647,0.361446] f_measure 0.730928 [0.914339,0.5,0.424242,0.268657,0.40625,0.139535,0.243902] f_measure 0.717043 [0.904135,0.464286,0.44335,0.210526,0.328125,0.122449,0.325] f_measure 0.721574 [0.908068,0.397727,0.439791,0.25641,0.323529,0.291667,0.356164] f_measure 0.728373 [0.923077,0.430939,0.402116,0.235294,0.363636,0.195122,0.333333] f_measure 0.712798 [0.90943,0.404762,0.38342,0.219178,0.380165,0.12766,0.294737] f_measure 0.737858 [0.926199,0.409938,0.462312,0.208955,0.383333,0.285714,0.340909] f_measure 0.702421 [0.898113,0.434286,0.35,0.205128,0.330579,0.153846,0.341463] f_measure 0.710912 [0.905838,0.455556,0.386139,0.140351,0.305344,0.25,0.325] f_measure 0.725823 [0.908749,0.467836,0.419048,0.15873,0.418605,0.27451,0.320988] f_measure 0.739885 [0.916045,0.445714,0.451282,0.24,0.459016,0.255319,0.414634] f_measure 0.731884 [0.920223,0.44186,0.456853,0.3,0.333333,0.137931,0.318841] f_measure 0.724837 [0.913003,0.448276,0.416244,0.186667,0.340741,0.26087,0.416667] f_measure 0.71415 [0.910798,0.391061,0.373737,0.342857,0.357724,0.083333,0.282353] f_measure 0.742441 [0.923933,0.515723,0.482412,0.253521,0.365079,0.122449,0.325581] f_measure 0.722378 [0.922078,0.42236,0.419512,0.194444,0.299213,0.222222,0.275] f_measure 0.729954 [0.929032,0.365714,0.469388,0.088235,0.347826,0.32,0.329114] f_measure 0.719782 [0.894185,0.459016,0.480392,0.169014,0.4375,0.153846,0.320988] f_measure 0.72548 [0.916045,0.404494,0.417476,0.235294,0.403509,0.227273,0.27907] f_measure 0.71838 [0.906867,0.437158,0.414141,0.222222,0.385965,0.163265,0.292135] f_measure 0.743777 [0.919668,0.450867,0.481675,0.273973,0.440945,0.272727,0.285714] f_measure 0.720421 [0.913488,0.361446,0.435233,0.186667,0.355932,0.321429,0.305882] f_measure 0.713943 [0.898386,0.391534,0.428571,0.123077,0.48062,0.222222,0.292683] f_measure 0.724183 [0.906015,0.374269,0.454976,0.225352,0.410714,0.333333,0.307692] f_measure 0.724942 [0.915191,0.43956,0.395833,0.275862,0.363636,0.181818,0.344828] f_measure 0.721429 [0.907216,0.42236,0.459184,0.216216,0.333333,0.244898,0.315789] f_measure 0.697893 [0.896878,0.463277,0.375,0.164384,0.296875,0.086957,0.227848] f_measure 0.719274 [0.904135,0.460606,0.429268,0.138889,0.380952,0.245614,0.329114] f_measure 0.708941 [0.901701,0.397727,0.372549,0.297297,0.302521,0.255319,0.311111] kappa 0.489647 kappa 0.476482 kappa 0.495765 kappa 0.495219 kappa 0.491553 kappa 0.484291 kappa 0.516396 kappa 0.459883 kappa 0.520278 kappa 0.512626 kappa 0.511758 kappa 0.46067 kappa 0.494902 kappa 0.476666 kappa 0.502805 kappa 0.505392 kappa 0.503066 kappa 0.528245 kappa 0.509809 kappa 0.533246 kappa 0.507487 kappa 0.491588 kappa 0.502953 kappa 0.490443 kappa 0.497978 kappa 0.508311 kappa 0.512287 kappa 0.524229 kappa 0.51491 kappa 0.496116 kappa 0.503593 kappa 0.511641 kappa 0.484685 kappa 0.487933 kappa 0.501266 kappa 0.472354 kappa 0.485962 kappa 0.488724 kappa 0.481958 kappa 0.476848 kappa 0.477777 kappa 0.50239 kappa 0.48249 kappa 0.519501 kappa 0.511357 kappa 0.528699 kappa 0.519809 kappa 0.505352 kappa 0.456199 kappa 0.511888 kappa 0.459421 kappa 0.466166 kappa 0.490775 kappa 0.521125 kappa 0.528827 kappa 0.483346 kappa 0.484034 kappa 0.492403 kappa 0.487557 kappa 0.498173 kappa 0.517286 kappa 0.497853 kappa 0.50109 kappa 0.500986 kappa 0.492521 kappa 0.490654 kappa 0.50201 kappa 0.468848 kappa 0.560613 kappa 0.474301 kappa 0.517967 kappa 0.480965 kappa 0.51387 kappa 0.491584 kappa 0.496083 kappa 0.50931 kappa 0.481009 kappa 0.524179 kappa 0.46631 kappa 0.483175 kappa 0.508415 kappa 0.532162 kappa 0.511977 kappa 0.505275 kappa 0.481802 kappa 0.533036 kappa 0.494786 kappa 0.509952 kappa 0.501439 kappa 0.501721 kappa 0.492361 kappa 0.533828 kappa 0.491788 kappa 0.488457 kappa 0.50083 kappa 0.503685 kappa 0.496388 kappa 0.458104 kappa 0.49541 kappa 0.474767 kb_relative_information_score 387.740014 kb_relative_information_score 373.232009 kb_relative_information_score 392.645142 kb_relative_information_score 392.253754 kb_relative_information_score 398.296434 kb_relative_information_score 384.828655 kb_relative_information_score 421.535503 kb_relative_information_score 370.453857 kb_relative_information_score 415.126813 kb_relative_information_score 410.95434 kb_relative_information_score 397.502819 kb_relative_information_score 377.007553 kb_relative_information_score 387.573778 kb_relative_information_score 373.539779 kb_relative_information_score 398.578647 kb_relative_information_score 410.395145 kb_relative_information_score 412.787592 kb_relative_information_score 427.283501 kb_relative_information_score 405.261694 kb_relative_information_score 438.597922 kb_relative_information_score 403.131247 kb_relative_information_score 401.272771 kb_relative_information_score 406.981686 kb_relative_information_score 396.653935 kb_relative_information_score 381.709364 kb_relative_information_score 410.559932 kb_relative_information_score 406.399431 kb_relative_information_score 438.984398 kb_relative_information_score 410.38502 kb_relative_information_score 403.948458 kb_relative_information_score 404.81883 kb_relative_information_score 409.062253 kb_relative_information_score 383.404118 kb_relative_information_score 383.819333 kb_relative_information_score 406.308415 kb_relative_information_score 380.02008 kb_relative_information_score 376.547622 kb_relative_information_score 399.042305 kb_relative_information_score 390.879353 kb_relative_information_score 376.537049 kb_relative_information_score 371.406536 kb_relative_information_score 394.435304 kb_relative_information_score 407.095182 kb_relative_information_score 435.499552 kb_relative_information_score 398.167741 kb_relative_information_score 423.847934 kb_relative_information_score 423.507586 kb_relative_information_score 394.386139 kb_relative_information_score 361.11577 kb_relative_information_score 406.235821 kb_relative_information_score 363.735373 kb_relative_information_score 379.902219 kb_relative_information_score 405.078946 kb_relative_information_score 431.935879 kb_relative_information_score 424.862343 kb_relative_information_score 370.621013 kb_relative_information_score 387.96554 kb_relative_information_score 390.548265 kb_relative_information_score 375.400745 kb_relative_information_score 391.372725 kb_relative_information_score 409.33968 kb_relative_information_score 402.589896 kb_relative_information_score 404.498476 kb_relative_information_score 402.687326 kb_relative_information_score 387.415052 kb_relative_information_score 403.800098 kb_relative_information_score 398.390282 kb_relative_information_score 371.764586 kb_relative_information_score 444.342272 kb_relative_information_score 358.88595 kb_relative_information_score 407.233127 kb_relative_information_score 393.990743 kb_relative_information_score 401.988277 kb_relative_information_score 379.990575 kb_relative_information_score 397.097956 kb_relative_information_score 405.343182 kb_relative_information_score 372.36077 kb_relative_information_score 428.415628 kb_relative_information_score 366.977591 kb_relative_information_score 385.285071 kb_relative_information_score 412.245318 kb_relative_information_score 434.045939 kb_relative_information_score 416.083076 kb_relative_information_score 408.942851 kb_relative_information_score 378.267623 kb_relative_information_score 413.896111 kb_relative_information_score 389.849952 kb_relative_information_score 404.863671 kb_relative_information_score 393.079787 kb_relative_information_score 401.235215 kb_relative_information_score 395.017138 kb_relative_information_score 418.045072 kb_relative_information_score 386.603856 kb_relative_information_score 391.112345 kb_relative_information_score 416.658405 kb_relative_information_score 403.669346 kb_relative_information_score 387.428713 kb_relative_information_score 354.875969 kb_relative_information_score 397.302638 kb_relative_information_score 399.020278 mean_absolute_error 0.0912 mean_absolute_error 0.092023 mean_absolute_error 0.089339 mean_absolute_error 0.090449 mean_absolute_error 0.090067 mean_absolute_error 0.090781 mean_absolute_error 0.087638 mean_absolute_error 0.095478 mean_absolute_error 0.086067 mean_absolute_error 0.085966 mean_absolute_error 0.08922 mean_absolute_error 0.091511 mean_absolute_error 0.092369 mean_absolute_error 0.093759 mean_absolute_error 0.089975 mean_absolute_error 0.087969 mean_absolute_error 0.08773 mean_absolute_error 0.083932 mean_absolute_error 0.087382 mean_absolute_error 0.082336 mean_absolute_error 0.087468 mean_absolute_error 0.090457 mean_absolute_error 0.090907 mean_absolute_error 0.090378 mean_absolute_error 0.090942 mean_absolute_error 0.087596 mean_absolute_error 0.085573 mean_absolute_error 0.082037 mean_absolute_error 0.08639 mean_absolute_error 0.089145 mean_absolute_error 0.089876 mean_absolute_error 0.08754 mean_absolute_error 0.090779 mean_absolute_error 0.091156 mean_absolute_error 0.089843 mean_absolute_error 0.092135 mean_absolute_error 0.09546 mean_absolute_error 0.091182 mean_absolute_error 0.090593 mean_absolute_error 0.093571 mean_absolute_error 0.093873 mean_absolute_error 0.091233 mean_absolute_error 0.088383 mean_absolute_error 0.083869 mean_absolute_error 0.08834 mean_absolute_error 0.085921 mean_absolute_error 0.085187 mean_absolute_error 0.089263 mean_absolute_error 0.096026 mean_absolute_error 0.087644 mean_absolute_error 0.094854 mean_absolute_error 0.093724 mean_absolute_error 0.090666 mean_absolute_error 0.082877 mean_absolute_error 0.085946 mean_absolute_error 0.093619 mean_absolute_error 0.08943 mean_absolute_error 0.090155 mean_absolute_error 0.092142 mean_absolute_error 0.089994 mean_absolute_error 0.085235 mean_absolute_error 0.088413 mean_absolute_error 0.087785 mean_absolute_error 0.087901 mean_absolute_error 0.086988 mean_absolute_error 0.091586 mean_absolute_error 0.089896 mean_absolute_error 0.094992 mean_absolute_error 0.08027 mean_absolute_error 0.095405 mean_absolute_error 0.087497 mean_absolute_error 0.089513 mean_absolute_error 0.087217 mean_absolute_error 0.091738 mean_absolute_error 0.09118 mean_absolute_error 0.087669 mean_absolute_error 0.092813 mean_absolute_error 0.083575 mean_absolute_error 0.094622 mean_absolute_error 0.090535 mean_absolute_error 0.087464 mean_absolute_error 0.083585 mean_absolute_error 0.085975 mean_absolute_error 0.087561 mean_absolute_error 0.092115 mean_absolute_error 0.084794 mean_absolute_error 0.088321 mean_absolute_error 0.086003 mean_absolute_error 0.091311 mean_absolute_error 0.08798 mean_absolute_error 0.08985 mean_absolute_error 0.085436 mean_absolute_error 0.090874 mean_absolute_error 0.092048 mean_absolute_error 0.087737 mean_absolute_error 0.088269 mean_absolute_error 0.091741 mean_absolute_error 0.096933 mean_absolute_error 0.090525 mean_absolute_error 0.092596 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155759 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155946 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155759 mean_prior_absolute_error 0.155759 mean_prior_absolute_error 0.155759 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155759 mean_prior_absolute_error 0.155759 mean_prior_absolute_error 0.155759 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155938 mean_prior_absolute_error 0.155946 mean_prior_absolute_error 0.155938 mean_prior_absolute_error 0.155767 mean_prior_absolute_error 0.155946 mean_prior_absolute_error 0.155946 mean_prior_absolute_error 0.155938 mean_prior_absolute_error 0.155964 mean_prior_absolute_error 0.155946 mean_prior_absolute_error 0.155946 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155824 mean_prior_absolute_error 0.155824 mean_prior_absolute_error 0.155824 mean_prior_absolute_error 0.155824 mean_prior_absolute_error 0.155824 mean_prior_absolute_error 0.155824 mean_prior_absolute_error 0.155824 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155824 mean_prior_absolute_error 0.155824 mean_prior_absolute_error 0.155824 mean_prior_absolute_error 0.155824 mean_prior_absolute_error 0.155824 mean_prior_absolute_error 0.155824 mean_prior_absolute_error 0.155824 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155824 mean_prior_absolute_error 0.155824 mean_prior_absolute_error 0.155824 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155806 mean_prior_absolute_error 0.155824 mean_prior_absolute_error 0.155824 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 mean_prior_absolute_error 0.155832 number_of_instances 885 [581,71,90,40,56,27,20] number_of_instances 885 [581,71,90,41,56,27,19] number_of_instances 885 [581,71,90,40,56,27,20] number_of_instances 885 [580,71,91,40,56,27,20] number_of_instances 885 [581,71,90,40,56,27,20] number_of_instances 885 [581,71,90,40,56,27,20] number_of_instances 885 [581,71,90,40,56,27,20] number_of_instances 885 [581,71,90,40,56,27,20] number_of_instances 885 [581,71,90,40,56,27,20] number_of_instances 885 [581,71,90,40,56,27,20] number_of_instances 885 [581,71,90,41,56,27,19] number_of_instances 885 [581,71,90,41,56,27,19] number_of_instances 885 [581,71,90,41,56,27,19] number_of_instances 885 [581,71,90,40,56,27,20] number_of_instances 885 [581,71,90,40,56,27,20] number_of_instances 885 [581,71,90,40,56,27,20] number_of_instances 885 [581,71,90,40,56,27,20] number_of_instances 885 [581,71,90,40,56,27,20] number_of_instances 885 [581,71,90,40,56,27,20] number_of_instances 885 [581,71,90,40,56,27,20] number_of_instances 885 [581,71,90,41,56,27,19] number_of_instances 885 [581,71,90,41,56,27,19] number_of_instances 885 [581,71,90,41,56,27,19] number_of_instances 885 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number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,91,40,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,41,56,27,19] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] number_of_instances 884 [580,71,90,40,56,27,20] precision 0.759333 [0.995927,0.376238,0.33913,0.25,0.272727,0.210526,0.259259] precision 0.75823 [0.997963,0.346154,0.360825,0.166667,0.354839,0.166667,0.155844] precision 0.76446 [0.995935,0.346535,0.419048,0.181818,0.323077,0.222222,0.211268] precision 0.765767 [0.995893,0.337079,0.415254,0.275862,0.322581,0.178571,0.222222] precision 0.763144 [0.991837,0.36036,0.319588,0.285714,0.354839,0.333333,0.223881] precision 0.755558 [0.993976,0.336283,0.381443,0.142857,0.315789,0.230769,0.166667] precision 0.77785 [1,0.4,0.422018,0.266667,0.372881,0.2,0.20339] precision 0.757826 [0.995745,0.320755,0.350427,0.32,0.277778,0.217391,0.180556] precision 0.777646 [0.995984,0.415842,0.392857,0.282051,0.42,0.238095,0.171875] precision 0.77063 [1,0.378378,0.45,0.192308,0.271429,0.25,0.2] precision 0.776036 [0.997959,0.415842,0.396226,0.333333,0.323529,0.238095,0.188406] precision 0.744817 [0.993915,0.288462,0.338983,0.181818,0.25,0.2,0.202899] precision 0.76394 [0.997955,0.386139,0.385965,0.137931,0.352113,0.210526,0.16129] precision 0.76105 [0.995851,0.317308,0.382609,0.225806,0.313433,0.304348,0.15873] precision 0.769996 [0.997938,0.37234,0.387931,0.233333,0.368421,0.227273,0.209677] precision 0.774136 [0.995893,0.323232,0.389831,0.346154,0.353846,0.392857,0.209677] precision 0.771731 [0.997899,0.372727,0.373984,0.3,0.342105,0.25,0.258621] precision 0.775987 [0.996055,0.35,0.40708,0.304348,0.31746,0.411765,0.274194] precision 0.772901 [0.997976,0.351064,0.416667,0.304348,0.384615,0.129032,0.228571] precision 0.777795 [0.996016,0.42,0.460784,0.2,0.328767,0.266667,0.238095] precision 0.767211 [0.992016,0.373737,0.401869,0.290323,0.316667,0.230769,0.213115] precision 0.768676 [0.997925,0.352459,0.382353,0.333333,0.272727,0.307692,0.2] precision 0.773458 [0.997934,0.361702,0.36,0.382353,0.333333,0.3,0.220339] precision 0.761272 [1,0.380435,0.357143,0.166667,0.302632,0.190476,0.240741] precision 0.766401 [0.99798,0.392857,0.416667,0.285714,0.265823,0.105263,0.194444] precision 0.771074 [0.997934,0.376068,0.394958,0.192308,0.368421,0.272727,0.233333] precision 0.772531 [0.994083,0.395604,0.458333,0.222222,0.346667,0.238095,0.102941] precision 0.773428 [0.99802,0.424242,0.352381,0.225806,0.389831,0.269231,0.233333] precision 0.774717 [0.997992,0.402062,0.366972,0.304348,0.370968,0.269231,0.2] precision 0.768974 [0.997947,0.313725,0.372881,0.25,0.357143,0.380952,0.230769] precision 0.773074 [0.99793,0.306931,0.372093,0.185185,0.421875,0.526316,0.225806] precision 0.769756 [0.991935,0.373494,0.401515,0.25,0.360656,0.318182,0.20339] precision 0.765011 [1,0.378641,0.4,0.307692,0.263889,0.136364,0.140845] precision 0.76469 [0.99187,0.339806,0.37931,0.225806,0.411765,0.263158,0.150685] precision 0.766518 [0.991786,0.352381,0.387097,0.242424,0.333333,0.363636,0.235294] precision 0.751247 [0.99182,0.286957,0.339286,0.307692,0.328125,0.117647,0.22449] precision 0.767511 [1,0.327434,0.426087,0.269231,0.306452,0.193548,0.2] precision 0.765006 [0.993724,0.401961,0.339286,0.324324,0.324324,0.227273,0.2] precision 0.754484 [0.997984,0.339806,0.33945,0.2,0.3,0.190476,0.196429] precision 0.75468 [0.995918,0.308411,0.362745,0.166667,0.38806,0.12,0.185714] precision 0.759113 [1,0.342857,0.366071,0.205128,0.292308,0.192308,0.2] precision 0.772701 [0.997921,0.411765,0.401575,0.225806,0.357143,0.24,0.169231] precision 0.759029 [1,0.270833,0.352941,0.258065,0.344262,0.208333,0.238095] precision 0.771546 [0.99802,0.415094,0.37,0.304348,0.267606,0.315789,0.233333] precision 0.768929 [1,0.418182,0.43299,0.148148,0.333333,0.1,0.191176] precision 0.78277 [0.995976,0.397727,0.485149,0.264706,0.33871,0.333333,0.188406] precision 0.776304 [0.997972,0.371681,0.422018,0.310345,0.31746,0.321429,0.204082] precision 0.766844 [0.993902,0.343137,0.391667,0.272727,0.393939,0.166667,0.214286] precision 0.75245 [0.991632,0.27619,0.355932,0.30303,0.266667,0.285714,0.173913] precision 0.773771 [0.997951,0.356436,0.411215,0.25641,0.38806,0.230769,0.232143] precision 0.748893 [0.993776,0.363636,0.333333,0.096774,0.323077,0.181818,0.147059] precision 0.750358 [0.997895,0.345133,0.31405,0.137931,0.305556,0.142857,0.264151] precision 0.770322 [0.995772,0.32,0.357143,0.272727,0.422535,0.35,0.226667] precision 0.775189 [0.995992,0.415842,0.37963,0.291667,0.40678,0.192308,0.208955] precision 0.78327 [0.997951,0.421569,0.462963,0.242424,0.365079,0.291667,0.19697] precision 0.760618 [0.995876,0.359551,0.353846,0.222222,0.322581,0.238095,0.2] precision 0.757291 [0.995976,0.367816,0.314961,0.166667,0.307692,0.333333,0.223881] precision 0.766734 [1,0.390805,0.393162,0.230769,0.287671,0.217391,0.169492] precision 0.7617 [1,0.316327,0.398305,0.225806,0.306667,0.1875,0.186441] precision 0.767313 [0.993902,0.370787,0.393443,0.346154,0.328358,0.153846,0.177419] precision 0.766715 [0.994071,0.355556,0.401869,0.206897,0.391304,0.176471,0.242424] precision 0.766329 [0.997976,0.367816,0.416667,0.210526,0.367647,0.105263,0.157143] precision 0.761054 [0.995943,0.390476,0.396396,0.130435,0.315068,0.166667,0.218182] precision 0.769272 [0.995951,0.375,0.37069,0.368421,0.350877,0.176471,0.151515] precision 0.755503 [0.994106,0.352273,0.336283,0.21875,0.31746,0.2,0.203125] precision 0.769418 [0.997868,0.425532,0.382114,0.222222,0.329114,0.208333,0.191176] precision 0.770823 [1,0.350427,0.424528,0.25,0.328767,0.181818,0.25] precision 0.762544 [0.997886,0.333333,0.365385,0.236842,0.375,0.206897,0.123077] precision 0.795004 [0.998039,0.44898,0.462264,0.25,0.359375,0.6,0.20339] precision 0.755074 [0.991684,0.35514,0.353982,0.26087,0.3125,0.12,0.2] precision 0.776049 [0.99596,0.382979,0.471698,0.257143,0.327869,0.227273,0.197183] precision 0.754232 [0.997942,0.394231,0.365217,0.16,0.223881,0.125,0.238095] precision 0.772708 [0.993927,0.419048,0.388889,0.333333,0.361111,0.1875,0.16129] precision 0.762477 [0.993802,0.402062,0.39823,0.222222,0.291667,0.136364,0.216667] precision 0.767576 [0.995885,0.333333,0.415842,0.263158,0.275,0.333333,0.245283] precision 0.769079 [0.997996,0.354545,0.383838,0.285714,0.315789,0.285714,0.224138] precision 0.757678 [0.991853,0.350515,0.359223,0.242424,0.353846,0.15,0.186667] precision 0.775126 [0.996032,0.366667,0.422018,0.259259,0.359375,0.318182,0.220588] precision 0.751395 [0.991667,0.365385,0.318182,0.210526,0.307692,0.16,0.225806] precision 0.760224 [0.997925,0.376147,0.348214,0.235294,0.266667,0.241379,0.216667] precision 0.772563 [1,0.4,0.366667,0.217391,0.369863,0.291667,0.213115] precision 0.781434 [0.997967,0.375,0.419048,0.257143,0.424242,0.3,0.274194] precision 0.769856 [0.995984,0.376238,0.420561,0.3,0.327586,0.129032,0.22449] precision 0.767854 [0.997955,0.378641,0.383178,0.2,0.291139,0.315789,0.288462] precision 0.763003 [1,0.324074,0.342593,0.4,0.328358,0.095238,0.184615] precision 0.781278 [1,0.465909,0.440367,0.290323,0.328571,0.136364,0.212121] precision 0.762684 [0.997992,0.377778,0.373913,0.21875,0.267606,0.277778,0.183333] precision 0.765635 [0.99802,0.307692,0.433962,0.107143,0.338983,0.347826,0.220339] precision 0.77309 [1,0.375,0.429825,0.193548,0.388889,0.16,0.213115] precision 0.770683 [0.997967,0.336449,0.37069,0.285714,0.396552,0.294118,0.181818] precision 0.767242 [0.99793,0.357143,0.37963,0.25,0.37931,0.181818,0.188406] precision 0.780505 [0.99006,0.382353,0.455446,0.30303,0.394366,0.352941,0.192982] precision 0.762195 [0.991919,0.315789,0.407767,0.2,0.33871,0.310345,0.2] precision 0.76694 [1,0.313559,0.396226,0.16,0.424658,0.222222,0.193548] precision 0.773278 [0.995868,0.32,0.396694,0.258065,0.410714,0.380952,0.197183] precision 0.77239 [0.995943,0.36036,0.372549,0.444444,0.338462,0.178571,0.223881] precision 0.768136 [0.99384,0.377778,0.424528,0.235294,0.3,0.272727,0.2] precision 0.748307 [0.993711,0.386792,0.330508,0.181818,0.263889,0.105263,0.152542] precision 0.764365 [0.993802,0.404255,0.382609,0.15625,0.342857,0.233333,0.220339] precision 0.761872 [0.997908,0.333333,0.333333,0.323529,0.285714,0.3,0.2] predictive_accuracy 0.691525 predictive_accuracy 0.682486 predictive_accuracy 0.694915 predictive_accuracy 0.692655 predictive_accuracy 0.691525 predictive_accuracy 0.690395 predictive_accuracy 0.706215 predictive_accuracy 0.665537 predictive_accuracy 0.711864 predictive_accuracy 0.707345 predictive_accuracy 0.703955 predictive_accuracy 0.674576 predictive_accuracy 0.693785 predictive_accuracy 0.680226 predictive_accuracy 0.697175 predictive_accuracy 0.699435 predictive_accuracy 0.694915 predictive_accuracy 0.719774 predictive_accuracy 0.703955 predictive_accuracy 0.720904 predictive_accuracy 0.705085 predictive_accuracy 0.689266 predictive_accuracy 0.697175 predictive_accuracy 0.690395 predictive_accuracy 0.697175 predictive_accuracy 0.700565 predictive_accuracy 0.709605 predictive_accuracy 0.716384 predictive_accuracy 0.708475 predictive_accuracy 0.693785 predictive_accuracy 0.697175 predictive_accuracy 0.706215 predictive_accuracy 0.685876 predictive_accuracy 0.690395 predictive_accuracy 0.697175 predictive_accuracy 0.680226 predictive_accuracy 0.682486 predictive_accuracy 0.685876 predictive_accuracy 0.688136 predictive_accuracy 0.682486 predictive_accuracy 0.680995 predictive_accuracy 0.695701 predictive_accuracy 0.686652 predictive_accuracy 0.713801 predictive_accuracy 0.704751 predictive_accuracy 0.716063 predictive_accuracy 0.710407 predictive_accuracy 0.701357 predictive_accuracy 0.66629 predictive_accuracy 0.70362 predictive_accuracy 0.669683 predictive_accuracy 0.671946 predictive_accuracy 0.68552 predictive_accuracy 0.71267 predictive_accuracy 0.713801 predictive_accuracy 0.68552 predictive_accuracy 0.690045 predictive_accuracy 0.691176 predictive_accuracy 0.688914 predictive_accuracy 0.696833 predictive_accuracy 0.71267 predictive_accuracy 0.696833 predictive_accuracy 0.699095 predictive_accuracy 0.699095 predictive_accuracy 0.699095 predictive_accuracy 0.684389 predictive_accuracy 0.69457 predictive_accuracy 0.671946 predictive_accuracy 0.739819 predictive_accuracy 0.678733 predictive_accuracy 0.709276 predictive_accuracy 0.684389 predictive_accuracy 0.707014 predictive_accuracy 0.690045 predictive_accuracy 0.693439 predictive_accuracy 0.705882 predictive_accuracy 0.68552 predictive_accuracy 0.716063 predictive_accuracy 0.673077 predictive_accuracy 0.684389 predictive_accuracy 0.700226 predictive_accuracy 0.717195 predictive_accuracy 0.707014 predictive_accuracy 0.700226 predictive_accuracy 0.684389 predictive_accuracy 0.719457 predictive_accuracy 0.696833 predictive_accuracy 0.708145 predictive_accuracy 0.691176 predictive_accuracy 0.699095 predictive_accuracy 0.690045 predictive_accuracy 0.721719 predictive_accuracy 0.693439 predictive_accuracy 0.684389 predictive_accuracy 0.695701 predictive_accuracy 0.700226 predictive_accuracy 0.693439 predictive_accuracy 0.667421 predictive_accuracy 0.692308 predictive_accuracy 0.677602 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 prior_entropy 1.759357 recall 0.691525 [0.841652,0.535211,0.433333,0.175,0.375,0.148148,0.7] recall 0.682486 [0.843373,0.507042,0.388889,0.121951,0.392857,0.148148,0.631579] recall 0.694915 [0.843373,0.492958,0.488889,0.15,0.375,0.148148,0.75] recall 0.692655 [0.836207,0.422535,0.538462,0.2,0.357143,0.185185,0.8] recall 0.691525 [0.836489,0.56338,0.344444,0.2,0.392857,0.37037,0.75] recall 0.690395 [0.851979,0.535211,0.411111,0.1,0.428571,0.111111,0.5] recall 0.706215 [0.839931,0.591549,0.511111,0.2,0.392857,0.259259,0.6] recall 0.665537 [0.805508,0.478873,0.455556,0.2,0.357143,0.185185,0.65] recall 0.711864 [0.853701,0.591549,0.488889,0.275,0.375,0.185185,0.55] recall 0.707345 [0.857143,0.591549,0.5,0.125,0.339286,0.185185,0.6] recall 0.703955 [0.841652,0.591549,0.466667,0.243902,0.392857,0.185185,0.684211] recall 0.674576 [0.843373,0.422535,0.444444,0.097561,0.285714,0.111111,0.736842] recall 0.693785 [0.839931,0.549296,0.488889,0.097561,0.446429,0.148148,0.526316] recall 0.680226 [0.826162,0.464789,0.488889,0.175,0.375,0.259259,0.5] recall 0.697175 [0.833046,0.492958,0.5,0.175,0.5,0.185185,0.65] recall 0.699435 [0.834768,0.450704,0.511111,0.225,0.410714,0.407407,0.65] recall 0.694915 [0.817556,0.577465,0.511111,0.225,0.464286,0.111111,0.75] recall 0.719774 [0.869191,0.492958,0.511111,0.175,0.357143,0.259259,0.85] recall 0.703955 [0.848537,0.464789,0.5,0.175,0.446429,0.148148,0.8] recall 0.720904 [0.860585,0.591549,0.522222,0.15,0.428571,0.148148,0.75] recall 0.705085 [0.855422,0.521127,0.477778,0.219512,0.339286,0.222222,0.684211] recall 0.689266 [0.827883,0.605634,0.433333,0.219512,0.321429,0.296296,0.631579] recall 0.697175 [0.831325,0.478873,0.5,0.317073,0.410714,0.222222,0.684211] recall 0.690395 [0.836489,0.492958,0.5,0.125,0.410714,0.148148,0.65] recall 0.697175 [0.850258,0.464789,0.5,0.2,0.375,0.074074,0.7] recall 0.700565 [0.831325,0.619718,0.522222,0.125,0.375,0.222222,0.7] recall 0.709605 [0.86747,0.507042,0.488889,0.15,0.464286,0.185185,0.35] recall 0.716384 [0.86747,0.591549,0.411111,0.175,0.410714,0.259259,0.7] recall 0.708475 [0.855422,0.549296,0.444444,0.175,0.410714,0.259259,0.7] recall 0.693785 [0.836489,0.450704,0.488889,0.225,0.357143,0.296296,0.75] recall 0.697175 [0.831034,0.43662,0.527473,0.121951,0.482143,0.37037,0.736842] recall 0.706215 [0.848276,0.43662,0.582418,0.2,0.392857,0.259259,0.6] recall 0.685876 [0.837931,0.549296,0.461538,0.195122,0.339286,0.111111,0.526316] recall 0.690395 [0.839931,0.492958,0.488889,0.175,0.375,0.185185,0.55] recall 0.697175 [0.832759,0.521127,0.527473,0.2,0.375,0.296296,0.6] recall 0.680226 [0.836207,0.464789,0.417582,0.3,0.375,0.074074,0.55] recall 0.682486 [0.815517,0.521127,0.538462,0.170732,0.339286,0.222222,0.684211] recall 0.685876 [0.818966,0.577465,0.422222,0.292683,0.428571,0.185185,0.6] recall 0.688136 [0.853448,0.492958,0.406593,0.15,0.375,0.148148,0.55] recall 0.682486 [0.841379,0.464789,0.406593,0.1,0.464286,0.111111,0.65] recall 0.680995 [0.831034,0.507042,0.455556,0.2,0.339286,0.185185,0.55] recall 0.695701 [0.827586,0.492958,0.566667,0.175,0.446429,0.222222,0.55] recall 0.686652 [0.844828,0.366197,0.466667,0.2,0.375,0.185185,0.75] recall 0.713801 [0.868966,0.619718,0.411111,0.170732,0.339286,0.222222,0.736842] recall 0.704751 [0.85,0.647887,0.466667,0.097561,0.410714,0.074074,0.684211] recall 0.716063 [0.853448,0.492958,0.544444,0.219512,0.375,0.407407,0.684211] recall 0.710407 [0.848276,0.591549,0.511111,0.219512,0.357143,0.333333,0.526316] recall 0.701357 [0.843103,0.492958,0.522222,0.146341,0.464286,0.074074,0.789474] recall 0.66629 [0.817241,0.408451,0.466667,0.243902,0.285714,0.222222,0.631579] recall 0.70362 [0.839655,0.507042,0.488889,0.243902,0.464286,0.222222,0.684211] recall 0.669683 [0.825862,0.507042,0.433333,0.075,0.375,0.148148,0.5] recall 0.671946 [0.817241,0.549296,0.422222,0.1,0.392857,0.111111,0.7] recall 0.68552 [0.812069,0.450704,0.444444,0.225,0.535714,0.259259,0.85] recall 0.71267 [0.856897,0.591549,0.455556,0.170732,0.428571,0.185185,0.736842] recall 0.713801 [0.839655,0.605634,0.555556,0.195122,0.410714,0.259259,0.684211] recall 0.68552 [0.832759,0.450704,0.511111,0.146341,0.357143,0.185185,0.736842] recall 0.690045 [0.853448,0.450704,0.444444,0.146341,0.285714,0.222222,0.789474] recall 0.691176 [0.837931,0.478873,0.511111,0.219512,0.375,0.185185,0.526316] recall 0.688914 [0.839655,0.43662,0.522222,0.170732,0.410714,0.111111,0.578947] recall 0.696833 [0.843103,0.464789,0.533333,0.219512,0.392857,0.148148,0.578947] recall 0.71267 [0.867241,0.450704,0.477778,0.15,0.482143,0.111111,0.8] recall 0.696833 [0.85,0.450704,0.5,0.2,0.446429,0.074074,0.55] recall 0.699095 [0.846552,0.577465,0.488889,0.075,0.410714,0.148148,0.6] recall 0.699095 [0.848276,0.507042,0.477778,0.341463,0.357143,0.111111,0.526316] recall 0.699095 [0.872414,0.43662,0.422222,0.170732,0.357143,0.111111,0.684211] recall 0.684389 [0.806897,0.56338,0.522222,0.146341,0.464286,0.185185,0.684211] recall 0.69457 [0.824138,0.577465,0.5,0.2,0.428571,0.148148,0.7] recall 0.671946 [0.813793,0.521127,0.417582,0.225,0.428571,0.222222,0.421053] recall 0.739819 [0.877586,0.619718,0.544444,0.195122,0.410714,0.333333,0.631579] recall 0.678733 [0.822414,0.535211,0.444444,0.146341,0.446429,0.111111,0.578947] recall 0.709276 [0.85,0.507042,0.555556,0.225,0.357143,0.185185,0.7] recall 0.684389 [0.836207,0.577465,0.466667,0.1,0.267857,0.111111,0.75] recall 0.707014 [0.846552,0.619718,0.466667,0.225,0.464286,0.111111,0.5] recall 0.690045 [0.82931,0.549296,0.5,0.2,0.375,0.111111,0.65] recall 0.693439 [0.834483,0.492958,0.466667,0.25,0.392857,0.259259,0.65] recall 0.705882 [0.858621,0.549296,0.422222,0.2,0.428571,0.148148,0.65] recall 0.68552 [0.839655,0.478873,0.411111,0.2,0.410714,0.111111,0.7] recall 0.716063 [0.865517,0.464789,0.511111,0.175,0.410714,0.259259,0.75] recall 0.673077 [0.82069,0.535211,0.388889,0.2,0.357143,0.148148,0.7] recall 0.684389 [0.82931,0.577465,0.433333,0.1,0.357143,0.259259,0.65] recall 0.700226 [0.832759,0.56338,0.488889,0.125,0.482143,0.259259,0.65] recall 0.717195 [0.846552,0.549296,0.488889,0.225,0.5,0.222222,0.85] recall 0.707014 [0.855172,0.535211,0.5,0.3,0.339286,0.148148,0.55] recall 0.700226 [0.841379,0.549296,0.455556,0.175,0.410714,0.222222,0.75] recall 0.684389 [0.836207,0.492958,0.411111,0.3,0.392857,0.074074,0.6] recall 0.719457 [0.858621,0.577465,0.533333,0.225,0.410714,0.111111,0.7] recall 0.696833 [0.856897,0.478873,0.477778,0.175,0.339286,0.185185,0.55] recall 0.708145 [0.868966,0.450704,0.511111,0.075,0.357143,0.296296,0.65] recall 0.691176 [0.808621,0.591549,0.544444,0.15,0.5,0.148148,0.65] recall 0.699095 [0.846552,0.507042,0.477778,0.2,0.410714,0.185185,0.6] recall 0.690045 [0.831034,0.56338,0.455556,0.2,0.392857,0.148148,0.65] recall 0.721719 [0.858621,0.549296,0.511111,0.25,0.5,0.222222,0.55] recall 0.693439 [0.846552,0.422535,0.466667,0.175,0.375,0.333333,0.65] recall 0.684389 [0.815517,0.521127,0.466667,0.1,0.553571,0.222222,0.6] recall 0.695701 [0.831034,0.450704,0.533333,0.2,0.410714,0.296296,0.7] recall 0.700226 [0.846552,0.56338,0.422222,0.2,0.392857,0.185185,0.75] recall 0.693439 [0.834483,0.478873,0.5,0.2,0.375,0.222222,0.75] recall 0.667421 [0.817241,0.577465,0.433333,0.15,0.339286,0.074074,0.45] recall 0.692308 [0.82931,0.535211,0.488889,0.125,0.428571,0.259259,0.65] recall 0.677602 [0.822414,0.492958,0.422222,0.275,0.321429,0.222222,0.7] relative_absolute_error 0.585488 relative_absolute_error 0.5908 relative_absolute_error 0.573541 relative_absolute_error 0.580003 relative_absolute_error 0.578217 relative_absolute_error 0.582798 relative_absolute_error 0.562621 relative_absolute_error 0.612953 relative_absolute_error 0.55254 relative_absolute_error 0.551891 relative_absolute_error 0.572805 relative_absolute_error 0.587515 relative_absolute_error 0.593024 relative_absolute_error 0.601921 relative_absolute_error 0.577628 relative_absolute_error 0.564749 relative_absolute_error 0.563213 relative_absolute_error 0.538832 relative_absolute_error 0.560977 relative_absolute_error 0.528588 relative_absolute_error 0.561561 relative_absolute_error 0.580751 relative_absolute_error 0.583635 relative_absolute_error 0.580213 relative_absolute_error 0.583833 relative_absolute_error 0.562355 relative_absolute_error 0.549365 relative_absolute_error 0.526669 relative_absolute_error 0.554614 relative_absolute_error 0.5723 relative_absolute_error 0.576358 relative_absolute_error 0.561352 relative_absolute_error 0.582146 relative_absolute_error 0.585207 relative_absolute_error 0.576115 relative_absolute_error 0.590813 relative_absolute_error 0.612168 relative_absolute_error 0.584635 relative_absolute_error 0.580928 relative_absolute_error 0.600024 relative_absolute_error 0.602398 relative_absolute_error 0.585459 relative_absolute_error 0.567171 relative_absolute_error 0.538228 relative_absolute_error 0.566918 relative_absolute_error 0.551398 relative_absolute_error 0.546684 relative_absolute_error 0.572847 relative_absolute_error 0.616245 relative_absolute_error 0.562456 relative_absolute_error 0.608693 relative_absolute_error 0.601444 relative_absolute_error 0.581821 relative_absolute_error 0.531862 relative_absolute_error 0.55156 relative_absolute_error 0.600799 relative_absolute_error 0.573913 relative_absolute_error 0.578572 relative_absolute_error 0.59132 relative_absolute_error 0.577539 relative_absolute_error 0.546968 relative_absolute_error 0.567365 relative_absolute_error 0.56333 relative_absolute_error 0.564105 relative_absolute_error 0.558242 relative_absolute_error 0.587753 relative_absolute_error 0.576876 relative_absolute_error 0.609679 relative_absolute_error 0.515132 relative_absolute_error 0.612262 relative_absolute_error 0.561485 relative_absolute_error 0.574422 relative_absolute_error 0.559687 relative_absolute_error 0.5887 relative_absolute_error 0.585118 relative_absolute_error 0.562585 relative_absolute_error 0.5956 relative_absolute_error 0.536313 relative_absolute_error 0.607208 relative_absolute_error 0.580982 relative_absolute_error 0.561271 relative_absolute_error 0.536381 relative_absolute_error 0.551719 relative_absolute_error 0.561894 relative_absolute_error 0.591117 relative_absolute_error 0.544139 relative_absolute_error 0.566771 relative_absolute_error 0.551897 relative_absolute_error 0.58596 relative_absolute_error 0.564584 relative_absolute_error 0.576581 relative_absolute_error 0.548258 relative_absolute_error 0.583157 relative_absolute_error 0.590687 relative_absolute_error 0.563023 relative_absolute_error 0.566439 relative_absolute_error 0.588721 relative_absolute_error 0.622037 relative_absolute_error 0.580914 relative_absolute_error 0.594205 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.27895 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.279284 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.27895 root_mean_prior_squared_error 0.27895 root_mean_prior_squared_error 0.27895 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.27895 root_mean_prior_squared_error 0.27895 root_mean_prior_squared_error 0.27895 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.279271 root_mean_prior_squared_error 0.279284 root_mean_prior_squared_error 0.279271 root_mean_prior_squared_error 0.278964 root_mean_prior_squared_error 0.279284 root_mean_prior_squared_error 0.279284 root_mean_prior_squared_error 0.279271 root_mean_prior_squared_error 0.279317 root_mean_prior_squared_error 0.279284 root_mean_prior_squared_error 0.279284 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.27908 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 root_mean_prior_squared_error 0.279067 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