208538 2 Joaquin Vanschoren 4235 Supervised Classification predictive_accuracy 1182 weka.AdaBoostM1_DecisionStump(12) 2029 weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 80 -W weka.classifiers.trees.DecisionStump P 100 1182 S 1 1182 I 80 1182 W weka.classifiers.trees.DecisionStump 1182 weka weka_3.7.12 395 re1.wc https://www.openml.org/data/download/52507/re1.wc.arff -1 691549 description https://api.openml.org/data/download/691549/weka_generated_run9200020886632595657.xml -1 691552 model_readable https://api.openml.org/data/download/691552/WekaModel_weka.classifiers.meta.AdaBoostM16733694725788223275.model -1 691551 model_serialized https://api.openml.org/data/download/691551/WekaSerialized_weka.classifiers.meta.AdaBoostM11828329115903198650.model -1 691550 predictions https://api.openml.org/data/download/691550/weka_generated_predictions158092617720949422.arff area_under_roc_curve 0.650803 [0.598109,0.585486,0.605345,0.619495,0.615341,0.495231,0.873669,0.585554,0.543155,0.574121,0.644527,0.571127,0.600474,0.400635,0.362366,0.39578,0.574753,0.515212,0.617308,0.508392,0.625974,0.554189,0.817172,0.569415,0.631223] average_cost 0 f_measure 0.253313 [0,0,0,0,0,0,0.758974,0,0,0,0.456274,0,0,0,0,0,0,0,0,0,0,0,0,0,0] kappa 0.228299 kb_relative_information_score 2677.416505 mean_absolute_error 0.062874 mean_prior_absolute_error 0.070994 number_of_instances 16570 [310,200,480,990,370,170,3300,200,190,870,3710,310,420,150,270,500,130,180,320,1370,1060,180,600,190,100] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.19778 [0,0,0,0,0,0,0.657778,0,0,0,0.29826,0,0,0,0,0,0,0,0,0,0,0,0,0,0] predictive_accuracy 0.395896 prior_entropy 3.812516 recall 0.395896 [0,0,0,0,0,0,0.89697,0,0,0,0.97035,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.885617 root_mean_prior_squared_error 0.188293 root_mean_squared_error 0.177339 root_relative_squared_error 0.941826 scimark_benchmark 937.152716 [562.1142596826567, 1012.8541257252805, 481.0671525802613, 901.4580491325925, 1728.2699952514965] total_cost 0 usercpu_time_millis 2640 usercpu_time_millis_testing 0 usercpu_time_millis_training 2640 area_under_roc_curve 0.670426 [0.626543,0.625,0.627329,0.63141,0.626543,0.625,0.913192,0.625,0.375,0.513093,0.658915,0.456033,0.626543,0.375758,0.375,0.372671,0.625,0.625,0.625767,0.550528,0.632258,0.624242,0.890625,0.625,0.624242] area_under_roc_curve 0.678791 [0.634969,0.634146,0.635802,0.641026,0.635802,0.130303,0.901914,0.381098,0.618902,0.640127,0.671875,0.634969,0.636646,0.365854,0.365854,0.53354,0.633333,0.381098,0.634969,0.602061,0.593255,0.381098,0.88125,0.634146,0.633333] area_under_roc_curve 0.664356 [0.647239,0.646341,0.648148,0.600641,0.648148,0.646341,0.849054,0.646341,0.606707,0.594126,0.668657,0.647239,0.520062,0.354545,0.606707,0.442857,0.646341,0.393293,0.647239,0.462876,0.654839,0.646341,0.86875,0.646341,0.645455] area_under_roc_curve 0.661997 [0.638037,0.637195,0.536646,0.591026,0.638889,0.637195,0.879244,0.637195,0.615854,0.642405,0.657029,0.638037,0.638889,0.363636,0.531697,0.536646,0.637195,0.637195,0.638037,0.492011,0.644231,0.384146,0.705208,0.384146,0.636364] area_under_roc_curve 0.68497 [0.644172,0.643293,0.645963,0.650641,0.644172,0.642424,0.909547,0.390244,0.609756,0.649682,0.66653,0.474438,0.645963,0.357576,0.304703,0.542857,0.642424,0.643293,0.644172,0.528406,0.651613,0.643293,0.871875,0.643293,0.642424] area_under_roc_curve 0.68563 [0.641975,0.640244,0.642857,0.647436,0.641975,0.639394,0.913306,0.640244,0.612805,0.514241,0.678295,0.641104,0.641975,0.359756,0.52863,0.539752,0.639394,0.640244,0.641104,0.495301,0.648387,0.640244,0.875,0.639394,0.639394] area_under_roc_curve 0.67784 [0.631902,0.631098,0.632716,0.637821,0.632716,0.631098,0.905673,0.631098,0.368902,0.570411,0.666667,0.631902,0.632716,0.621951,0.368098,0.530435,0.630303,0.127273,0.632716,0.524436,0.63871,0.631098,0.884375,0.631098,0.630303] area_under_roc_curve 0.691579 [0.662577,0.661585,0.66358,0.669872,0.662577,0.408537,0.924812,0.408537,0.844512,0.667722,0.638775,0.662577,0.664596,0.338415,0.323108,0.458385,0.660606,0.661585,0.662577,0.589744,0.670968,0.661585,0.853125,0.661585,0.660606] area_under_roc_curve 0.689447 [0.625767,0.625,0.626543,0.63141,0.625767,0.625,0.913192,0.625,0.628049,0.630573,0.660156,0.625767,0.626543,0.628049,0.375,0.524224,0.624242,0.625,0.626543,0.550528,0.632258,0.625,0.890625,0.625,0.624242] area_under_roc_curve 0.675236 [0.641975,0.640244,0.642857,0.647436,0.641975,0.639394,0.894395,0.640244,0.360606,0.587757,0.660905,0.641104,0.641975,0.360606,0.52863,0.436646,0.640244,0.639394,0.641104,0.495301,0.599707,0.640244,0.875,0.640244,0.639394] area_under_roc_curve 0.676488 [0.638037,0.637195,0.639752,0.644231,0.638889,0.637195,0.879244,0.637195,0.363636,0.584572,0.657029,0.638037,0.510802,0.615854,0.615854,0.330435,0.637195,0.637195,0.638037,0.5636,0.645161,0.637195,0.878125,0.637195,0.636364] area_under_roc_curve 0.670292 [0.644172,0.390244,0.645062,0.650641,0.645062,0.642424,0.871725,0.643293,0.860606,0.590941,0.664781,0.645062,0.645963,0.356707,0.137195,0.542857,0.643293,0.643293,0.644172,0.444947,0.651613,0.643293,0.871875,0.643293,0.642424] area_under_roc_curve 0.669473 [0.492843,0.661585,0.664596,0.669872,0.66358,0.408537,0.88699,0.661585,0.339394,0.551309,0.653258,0.492843,0.66358,0.339394,0.155488,0.458385,0.661585,0.661585,0.662577,0.518327,0.670968,0.661585,0.853125,0.661585,0.660606] area_under_roc_curve 0.64874 [0.631902,0.631098,0.63354,0.637821,0.632716,0.630303,0.867851,0.378049,0.368902,0.519462,0.631888,0.631902,0.50463,0.369697,0.292434,0.36646,0.630303,0.631098,0.631902,0.56344,0.63871,0.631098,0.797917,0.631098,0.630303] area_under_roc_curve 0.670612 [0.631902,0.631098,0.63354,0.637821,0.632716,0.631098,0.867851,0.631098,0.872727,0.636076,0.666667,0.631902,0.530435,0.368902,0.292434,0.427329,0.630303,0.631098,0.631902,0.56344,0.590029,0.631098,0.884375,0.630303,0.630303] area_under_roc_curve 0.663159 [0.634969,0.634146,0.53354,0.641026,0.635802,0.634146,0.883003,0.634146,0.366667,0.581387,0.670543,0.465235,0.636646,0.366667,0.295501,0.363354,0.633333,0.634146,0.634969,0.527726,0.641026,0.634146,0.88125,0.381098,0.633333] area_under_roc_curve 0.653603 [0.638889,0.637195,0.639752,0.644231,0.638889,0.384146,0.860333,0.637195,0.362805,0.576741,0.63964,0.638037,0.638889,0.363636,0.298569,0.43354,0.636364,0.637195,0.638037,0.52187,0.645161,0.384146,0.791667,0.637195,0.636364] area_under_roc_curve 0.664987 [0.619632,0.618902,0.62037,0.625,0.62037,0.365854,0.882889,0.618902,0.381098,0.623418,0.651163,0.449898,0.621118,0.381098,0.380368,0.518012,0.618902,0.618182,0.619632,0.585721,0.625806,0.618902,0.896875,0.365854,0.618182] area_under_roc_curve 0.66498 [0.632716,0.631098,0.63354,0.584615,0.631902,0.630303,0.867851,0.631098,0.368902,0.578202,0.649277,0.462168,0.632716,0.621951,0.368902,0.427329,0.630303,0.631098,0.632716,0.557064,0.63871,0.631098,0.884375,0.631098,0.630303] area_under_roc_curve 0.673735 [0.638037,0.384146,0.639752,0.644231,0.638889,0.637195,0.917065,0.637195,0.615854,0.584572,0.657029,0.638037,0.638889,0.363636,0.361963,0.360248,0.636364,0.636364,0.638037,0.492011,0.645161,0.637195,0.878125,0.637195,0.636364] area_under_roc_curve 0.684685 [0.644172,0.643293,0.645963,0.650641,0.645062,0.643293,0.890636,0.643293,0.609756,0.590941,0.664781,0.474438,0.645062,0.609756,0.609756,0.439752,0.643293,0.643293,0.644172,0.570136,0.651613,0.390244,0.871875,0.642424,0.642424] area_under_roc_curve 0.667201 [0.628834,0.628049,0.527329,0.634615,0.62963,0.628049,0.8527,0.628049,0.625,0.633758,0.645401,0.628834,0.62963,0.875758,0.625,0.527329,0.628049,0.628049,0.62963,0.482143,0.635484,0.627273,0.801042,0.627273,0.627273] area_under_roc_curve 0.684974 [0.641104,0.640244,0.539752,0.646497,0.641975,0.640244,0.913306,0.640244,0.612805,0.587757,0.660905,0.641104,0.641975,0.612805,0.52863,0.539752,0.639394,0.640244,0.641104,0.534305,0.648387,0.639394,0.788542,0.640244,0.639394] area_under_roc_curve 0.675008 [0.634969,0.634146,0.636646,0.587821,0.635802,0.130303,0.901914,0.634146,0.871951,0.640127,0.653153,0.634969,0.635802,0.366667,0.365031,0.363354,0.633333,0.634146,0.634969,0.527726,0.641935,0.634146,0.88125,0.634146,0.633333] area_under_roc_curve 0.673902 [0.647239,0.646341,0.648148,0.653846,0.648148,0.646341,0.905787,0.646341,0.353659,0.651899,0.633878,0.647239,0.648148,0.606707,0.522495,0.442857,0.645455,0.646341,0.647239,0.50188,0.654839,0.393293,0.782292,0.646341,0.645455] area_under_roc_curve 0.675462 [0.638037,0.637195,0.639752,0.591026,0.638037,0.384146,0.879244,0.637195,0.615854,0.643312,0.674419,0.638037,0.639752,0.866667,0.361963,0.43354,0.636364,0.384146,0.638037,0.531015,0.644231,0.637195,0.878125,0.637195,0.636364] area_under_roc_curve 0.673128 [0.641104,0.387195,0.642857,0.594231,0.641104,0.640244,0.875484,0.640244,0.865854,0.646497,0.660905,0.513889,0.641975,0.360606,0.358896,0.539752,0.639394,0.640244,0.641104,0.525138,0.648387,0.640244,0.875,0.387195,0.639394] area_under_roc_curve 0.672984 [0.647239,0.393293,0.649068,0.653846,0.648148,0.646341,0.905787,0.646341,0.606707,0.651899,0.686047,0.647239,0.648148,0.140244,0.307771,0.236646,0.646341,0.645455,0.647239,0.531674,0.654839,0.646341,0.695833,0.646341,0.645455] area_under_roc_curve 0.66791 [0.628834,0.628049,0.630435,0.634615,0.628834,0.627273,0.890522,0.628049,0.625,0.575018,0.662791,0.62963,0.630435,0.371951,0.371951,0.527329,0.627273,0.628049,0.628834,0.521147,0.586804,0.627273,0.801042,0.375,0.627273] area_under_roc_curve 0.668567 [0.622699,0.621951,0.624224,0.628205,0.622699,0.621951,0.860219,0.621951,0.884146,0.627389,0.655039,0.622699,0.624224,0.378788,0.547035,0.375776,0.621212,0.621951,0.622699,0.514568,0.628205,0.368902,0.89375,0.621951,0.621212] area_under_roc_curve 0.676846 [0.631902,0.631098,0.530435,0.636943,0.632716,0.378049,0.924584,0.631098,0.621951,0.636943,0.666667,0.631902,0.632716,0.368902,0.368098,0.36646,0.630303,0.378049,0.631902,0.56344,0.637821,0.631098,0.884375,0.631098,0.630303] area_under_roc_curve 0.669707 [0.631902,0.631098,0.63354,0.636943,0.632716,0.631098,0.886762,0.631098,0.621951,0.636076,0.649277,0.462168,0.632716,0.369697,0.537832,0.36646,0.631098,0.631098,0.632716,0.485432,0.63871,0.630303,0.884375,0.631098,0.630303] area_under_roc_curve 0.69264 [0.650307,0.64939,0.652174,0.657051,0.651235,0.64939,0.920939,0.64939,0.603659,0.523734,0.672533,0.480573,0.651235,0.603659,0.310838,0.549068,0.648485,0.64939,0.650307,0.583177,0.658065,0.648485,0.865625,0.64939,0.648485] area_under_roc_curve 0.670301 [0.634969,0.634146,0.636646,0.641026,0.635802,0.633333,0.864092,0.634146,0.618902,0.581387,0.670543,0.634969,0.635802,0.366667,0.534765,0.327329,0.633333,0.381098,0.634969,0.527726,0.641935,0.634146,0.88125,0.634146,0.633333] area_under_roc_curve 0.662003 [0.628834,0.628049,0.62963,0.634615,0.62963,0.375,0.871611,0.628049,0.878049,0.567247,0.610622,0.628834,0.62963,0.625,0.371166,0.369565,0.627273,0.628049,0.628834,0.599154,0.635484,0.628049,0.801042,0.628049,0.627273] area_under_roc_curve 0.677014 [0.480573,0.396341,0.652174,0.657051,0.650307,0.64939,0.883117,0.64939,0.603659,0.597311,0.672533,0.480573,0.651235,0.351515,0.603659,0.445963,0.64939,0.64939,0.651235,0.544173,0.657051,0.396341,0.865625,0.64939,0.648485] area_under_roc_curve 0.655073 [0.631902,0.631098,0.63354,0.584615,0.631902,0.631098,0.848941,0.631098,0.875,0.578202,0.631888,0.631902,0.63354,0.369697,0.368098,0.36646,0.630303,0.631098,0.631902,0.473605,0.63871,0.631098,0.884375,0.631098,0.630303] area_under_roc_curve 0.675106 [0.47137,0.640244,0.642857,0.647436,0.641975,0.640244,0.875484,0.640244,0.865854,0.587757,0.660905,0.641104,0.641975,0.612805,0.52863,0.357143,0.640244,0.387195,0.641104,0.534305,0.647436,0.639394,0.875,0.639394,0.639394] area_under_roc_curve 0.6531 [0.647239,0.646341,0.649068,0.653846,0.648148,0.645455,0.849054,0.646341,0.353659,0.652866,0.651268,0.647239,0.649068,0.606707,0.307771,0.339752,0.645455,0.645455,0.647239,0.423872,0.654839,0.142424,0.782292,0.646341,0.645455] area_under_roc_curve 0.682217 [0.489775,0.658537,0.661491,0.665605,0.659509,0.658537,0.89075,0.405488,0.594512,0.548125,0.666771,0.489775,0.661491,0.594512,0.594512,0.558385,0.657576,0.658537,0.660494,0.515038,0.666667,0.658537,0.85625,0.658537,0.657576] area_under_roc_curve 0.654001 [0.634969,0.634146,0.635802,0.587821,0.635802,0.634146,0.864092,0.634146,0.618902,0.640127,0.635764,0.634969,0.635802,0.365854,0.534765,0.53354,0.633333,0.634146,0.634969,0.449718,0.587821,0.634146,0.708333,0.634146,0.633333] area_under_roc_curve 0.665234 [0.641104,0.640244,0.642857,0.647436,0.641975,0.640244,0.856573,0.640244,0.612805,0.579905,0.643516,0.47137,0.641975,0.863636,0.358896,0.436646,0.639394,0.640244,0.641104,0.495301,0.648387,0.640244,0.875,0.640244,0.639394] area_under_roc_curve 0.673086 [0.644172,0.643293,0.645963,0.597436,0.645062,0.643293,0.871725,0.643293,0.862805,0.648734,0.664781,0.644172,0.645062,0.137195,0.355828,0.542857,0.642424,0.643293,0.645062,0.528406,0.602933,0.390244,0.871875,0.642424,0.642424] area_under_roc_curve 0.680291 [0.647239,0.646341,0.649068,0.653846,0.647239,0.646341,0.886876,0.646341,0.606707,0.535386,0.651268,0.477505,0.648148,0.606707,0.522495,0.545963,0.645455,0.646341,0.647239,0.540883,0.654839,0.646341,0.86875,0.645455,0.645455] area_under_roc_curve 0.660039 [0.631902,0.378049,0.63354,0.636943,0.632716,0.378049,0.905673,0.631098,0.368902,0.578202,0.649277,0.631902,0.632716,0.125,0.368098,0.36646,0.631098,0.630303,0.632716,0.56344,0.637821,0.630303,0.797917,0.631098,0.630303] area_under_roc_curve 0.674256 [0.631902,0.631098,0.63354,0.636943,0.631902,0.631098,0.886762,0.631098,0.875,0.636943,0.667969,0.631902,0.632716,0.369697,0.368902,0.530435,0.631098,0.378049,0.632716,0.485432,0.584615,0.631098,0.797917,0.631098,0.630303] area_under_roc_curve 0.695037 [0.656442,0.655488,0.658385,0.663462,0.656442,0.654545,0.932331,0.655488,0.848485,0.60368,0.699219,0.486708,0.658385,0.345455,0.316973,0.452174,0.655488,0.655488,0.656442,0.511748,0.615836,0.655488,0.859375,0.654545,0.654545] area_under_roc_curve 0.680082 [0.628834,0.628049,0.630435,0.634615,0.62963,0.628049,0.928344,0.628049,0.625,0.633758,0.662791,0.4591,0.62963,0.372727,0.371166,0.369565,0.627273,0.628049,0.62963,0.521147,0.634615,0.627273,0.8875,0.628049,0.627273] area_under_roc_curve 0.688071 [0.638037,0.637195,0.639752,0.644231,0.638889,0.637195,0.917065,0.637195,0.362805,0.584572,0.63964,0.468303,0.638889,0.866667,0.531697,0.536646,0.637195,0.636364,0.638037,0.609023,0.645161,0.637195,0.878125,0.636364,0.636364] area_under_roc_curve 0.694136 [0.641104,0.640244,0.642857,0.647436,0.641104,0.640244,0.913306,0.640244,0.865854,0.587757,0.678295,0.641104,0.641975,0.612805,0.359756,0.436646,0.639394,0.387195,0.641975,0.612312,0.647436,0.640244,0.875,0.387195,0.639394] area_under_roc_curve 0.677077 [0.653374,0.39939,0.654321,0.660256,0.654321,0.652439,0.898268,0.652439,0.60061,0.659236,0.64163,0.653374,0.654321,0.60061,0.346626,0.449068,0.651515,0.39939,0.653374,0.547462,0.660256,0.652439,0.8625,0.39939,0.651515] area_under_roc_curve 0.670028 [0.631902,0.631098,0.63354,0.584615,0.632716,0.631098,0.886762,0.631098,0.621951,0.504747,0.649277,0.631902,0.632716,0.872727,0.537832,0.36646,0.630303,0.378049,0.631902,0.602444,0.63871,0.631098,0.797917,0.631098,0.630303] area_under_roc_curve 0.670251 [0.619632,0.618902,0.621118,0.625,0.62037,0.618902,0.9018,0.618902,0.634146,0.623418,0.651163,0.619632,0.62037,0.381098,0.380368,0.378882,0.618182,0.618182,0.62037,0.502262,0.625806,0.618902,0.896875,0.618902,0.618182] area_under_roc_curve 0.673541 [0.62963,0.628049,0.630435,0.634615,0.628834,0.628049,0.890522,0.628049,0.625,0.633758,0.645401,0.628834,0.62963,0.371951,0.371951,0.527329,0.627273,0.375,0.628834,0.521147,0.635484,0.627273,0.8875,0.628049,0.627273] area_under_roc_curve 0.686479 [0.631902,0.631098,0.530435,0.637821,0.632716,0.631098,0.924584,0.631098,0.621951,0.636943,0.666667,0.631902,0.632716,0.368902,0.368902,0.427329,0.631098,0.630303,0.632716,0.56344,0.637821,0.630303,0.884375,0.631098,0.630303] area_under_roc_curve 0.662834 [0.647239,0.646341,0.649068,0.653846,0.648148,0.646341,0.867965,0.393293,0.606707,0.652866,0.616489,0.647239,0.648148,0.354545,0.606707,0.442857,0.646341,0.646341,0.647239,0.448215,0.654839,0.646341,0.782292,0.646341,0.645455] area_under_roc_curve 0.670118 [0.644172,0.643293,0.542857,0.649682,0.645062,0.642424,0.871725,0.643293,0.609756,0.649682,0.647392,0.644172,0.516975,0.860606,0.304703,0.23354,0.643293,0.643293,0.644172,0.615602,0.651613,0.643293,0.785417,0.643293,0.642424] area_under_roc_curve 0.65613 [0.631902,0.631098,0.530435,0.637821,0.632716,0.630303,0.83003,0.631098,0.621951,0.578202,0.614498,0.631902,0.632716,0.872727,0.368098,0.427329,0.630303,0.631098,0.632716,0.602444,0.637821,0.378049,0.884375,0.631098,0.630303] area_under_roc_curve 0.665234 [0.647239,0.646341,0.649068,0.653846,0.648148,0.646341,0.867965,0.393293,0.859756,0.586234,0.651268,0.647239,0.520062,0.354545,0.307771,0.350932,0.646341,0.646341,0.647239,0.50188,0.653846,0.646341,0.86875,0.646341,0.645455] area_under_roc_curve 0.677746 [0.634969,0.634146,0.636646,0.641026,0.635802,0.634146,0.901914,0.634146,0.365854,0.581387,0.654811,0.634969,0.635802,0.365854,0.618902,0.327329,0.633333,0.381098,0.634969,0.602061,0.641026,0.634146,0.88125,0.634146,0.633333] area_under_roc_curve 0.671098 [0.641104,0.640244,0.642857,0.647436,0.641975,0.387195,0.875484,0.640244,0.612805,0.646497,0.643516,0.641104,0.641975,0.863636,0.301636,0.539752,0.639394,0.640244,0.641104,0.495301,0.647436,0.640244,0.788542,0.640244,0.639394] area_under_roc_curve 0.674808 [0.520062,0.646341,0.649068,0.653846,0.647239,0.646341,0.886876,0.646341,0.606707,0.652866,0.633878,0.647239,0.520062,0.354545,0.307771,0.339752,0.645455,0.646341,0.647239,0.618891,0.653846,0.646341,0.86875,0.646341,0.645455] area_under_roc_curve 0.676512 [0.622699,0.621951,0.624224,0.628205,0.622699,0.621951,0.898041,0.621951,0.631098,0.568648,0.65625,0.623457,0.623457,0.378049,0.547035,0.418012,0.621212,0.621212,0.622699,0.588989,0.628205,0.621951,0.807292,0.621951,0.621212] area_under_roc_curve 0.693702 [0.644172,0.390244,0.645963,0.650641,0.644172,0.643293,0.947368,0.643293,0.356707,0.590941,0.682171,0.516975,0.645062,0.356707,0.609756,0.542857,0.642424,0.643293,0.644172,0.576598,0.602933,0.642424,0.871875,0.643293,0.642424] area_under_roc_curve 0.668853 [0.641104,0.640244,0.642857,0.541026,0.641975,0.640244,0.894395,0.640244,0.612805,0.587757,0.660905,0.641104,0.641975,0.360606,0.359756,0.539752,0.640244,0.387195,0.641104,0.495301,0.647436,0.640244,0.788542,0.640244,0.639394] area_under_roc_curve 0.674567 [0.638037,0.637195,0.638889,0.591026,0.638889,0.637195,0.898154,0.637195,0.362805,0.525832,0.674419,0.638037,0.638889,0.615854,0.361963,0.227329,0.636364,0.637195,0.638037,0.605329,0.645161,0.637195,0.878125,0.637195,0.636364] area_under_roc_curve 0.678706 [0.644172,0.643293,0.645963,0.650641,0.645062,0.139394,0.890636,0.643293,0.862805,0.590941,0.682171,0.644172,0.645062,0.609756,0.356707,0.542857,0.643293,0.390244,0.644172,0.459586,0.650641,0.643293,0.785417,0.643293,0.642424] area_under_roc_curve 0.663808 [0.631902,0.631098,0.63354,0.584615,0.632716,0.630303,0.867851,0.631098,0.621951,0.636943,0.631888,0.632716,0.632716,0.369697,0.537832,0.530435,0.630303,0.631098,0.631902,0.485432,0.637821,0.631098,0.797917,0.631098,0.630303] area_under_roc_curve 0.701652 [0.480573,0.64939,0.652174,0.657051,0.651235,0.64939,0.93985,0.64939,0.856707,0.589399,0.672533,0.650307,0.651235,0.854545,0.519427,0.549068,0.64939,0.64939,0.650307,0.544173,0.657051,0.64939,0.779167,0.64939,0.648485] area_under_roc_curve 0.650843 [0.650307,0.64939,0.523148,0.657051,0.651235,0.396341,0.845295,0.64939,0.603659,0.597311,0.620365,0.650307,0.523148,0.603659,0.349693,0.445963,0.648485,0.64939,0.650307,0.493213,0.658065,0.64939,0.779167,0.64939,0.648485] area_under_roc_curve 0.68069 [0.638889,0.638037,0.640625,0.645161,0.638889,0.637195,0.859848,0.638037,0.868098,0.511943,0.66007,0.638889,0.640625,0.865854,0.299383,0.434375,0.637195,0.637195,0.638889,0.609981,0.646104,0.638037,0.877358,0.638037,0.637195] area_under_roc_curve 0.676887 [0.657407,0.656442,0.659375,0.61129,0.657407,0.656442,0.912879,0.656442,0.596626,0.604701,0.664379,0.657407,0.658385,0.596626,0.342593,0.35,0.655488,0.655488,0.657407,0.473746,0.664516,0.656442,0.772013,0.656442,0.655488] area_under_roc_curve 0.680892 [0.641975,0.388037,0.64375,0.648387,0.641975,0.640244,0.931818,0.641104,0.611963,0.647436,0.627428,0.641975,0.64375,0.359756,0.358025,0.540625,0.640244,0.388037,0.641975,0.574267,0.648387,0.641104,0.787736,0.641104,0.640244] area_under_roc_curve 0.687945 [0.5,0.668712,0.671875,0.677419,0.670807,0.668712,0.897727,0.668712,0.837423,0.676282,0.697424,0.669753,0.671875,0.162577,0.162577,0.259375,0.667683,0.667683,0.669753,0.472166,0.677419,0.668712,0.845912,0.668712,0.667683] area_under_roc_curve 0.664265 [0.623457,0.622699,0.625,0.629032,0.624224,0.622699,0.840909,0.622699,0.630368,0.628205,0.63883,0.623457,0.624224,0.378049,0.630368,0.521875,0.621951,0.622699,0.623457,0.476348,0.629032,0.622699,0.893082,0.622699,0.621951] area_under_roc_curve 0.666283 [0.632716,0.631902,0.63354,0.63871,0.63354,0.631902,0.905303,0.631902,0.621166,0.637821,0.59829,0.632716,0.63354,0.621166,0.29321,0.365625,0.631098,0.631902,0.632716,0.599696,0.63961,0.631098,0.710692,0.631902,0.631098] area_under_roc_curve 0.68079 [0.62963,0.628834,0.63125,0.635484,0.630435,0.628834,0.909091,0.375767,0.624233,0.634615,0.629223,0.62963,0.630435,0.371166,0.371166,0.528125,0.628049,0.628834,0.62963,0.600047,0.635484,0.628049,0.886792,0.628834,0.628049] area_under_roc_curve 0.671896 [0.642857,0.641104,0.64375,0.648387,0.642857,0.640244,0.893939,0.641104,0.862805,0.588675,0.679688,0.641975,0.642857,0.359756,0.358896,0.4375,0.640244,0.641104,0.641975,0.418165,0.600649,0.641104,0.787736,0.641104,0.640244] area_under_roc_curve 0.668141 [0.62963,0.628834,0.63125,0.635484,0.630435,0.628834,0.871212,0.628834,0.624233,0.568073,0.664062,0.62963,0.630435,0.371951,0.540123,0.321875,0.628049,0.375767,0.62963,0.561022,0.635484,0.628834,0.800314,0.628834,0.628049] area_under_roc_curve 0.662476 [0.632716,0.631902,0.63354,0.63871,0.63354,0.631902,0.867424,0.631902,0.621166,0.636943,0.650549,0.63354,0.63354,0.368098,0.29321,0.428125,0.631098,0.631902,0.632716,0.474443,0.63961,0.631902,0.79717,0.631098,0.631098] area_under_roc_curve 0.674915 [0.62963,0.628834,0.63125,0.635484,0.62963,0.628049,0.890152,0.628834,0.877301,0.568073,0.664062,0.62963,0.63125,0.371951,0.37037,0.425,0.628049,0.628049,0.630435,0.521996,0.636364,0.628834,0.800314,0.628834,0.628049] area_under_roc_curve 0.684947 [0.632716,0.631902,0.634375,0.63871,0.632716,0.631902,0.905303,0.631902,0.621166,0.57906,0.667969,0.632716,0.63354,0.621166,0.367284,0.428125,0.631098,0.631098,0.632716,0.564333,0.63871,0.631902,0.883648,0.631902,0.631098] area_under_roc_curve 0.666528 [0.62963,0.628834,0.63125,0.635484,0.62963,0.628049,0.833333,0.375767,0.624233,0.634615,0.664062,0.62963,0.63125,0.875,0.540123,0.425,0.628049,0.628834,0.62963,0.482971,0.635484,0.628834,0.886792,0.628834,0.628049] area_under_roc_curve 0.659953 [0.617284,0.616564,0.618012,0.622581,0.618012,0.616564,0.867424,0.616564,0.384146,0.621019,0.613598,0.617284,0.61875,0.636503,0.382716,0.515625,0.616564,0.615854,0.618012,0.541498,0.622581,0.616564,0.812893,0.616564,0.615854] area_under_roc_curve 0.682069 [0.651235,0.650307,0.653125,0.658065,0.651235,0.64939,0.882576,0.650307,0.855828,0.480769,0.673986,0.524068,0.652174,0.853659,0.348765,0.446875,0.64939,0.650307,0.651235,0.577682,0.659091,0.650307,0.86478,0.397239,0.64939] area_under_roc_curve 0.689532 [0.632716,0.631902,0.634375,0.63871,0.63354,0.128049,0.924242,0.631902,0.874233,0.636943,0.650549,0.63354,0.63354,0.621166,0.367284,0.365625,0.631098,0.631098,0.632716,0.603359,0.63961,0.631098,0.883648,0.631902,0.631098] area_under_roc_curve 0.678811 [0.632716,0.631902,0.634375,0.63871,0.63354,0.631902,0.886364,0.631902,0.368098,0.520299,0.650549,0.632716,0.63354,0.621166,0.621166,0.53125,0.631098,0.631902,0.632716,0.564333,0.63871,0.631098,0.883648,0.631902,0.631098] area_under_roc_curve 0.672492 [0.645062,0.644172,0.646875,0.598387,0.645062,0.644172,0.909091,0.644172,0.355828,0.474359,0.666174,0.645062,0.517857,0.356707,0.608896,0.353125,0.643293,0.644172,0.645062,0.538553,0.652597,0.644172,0.871069,0.644172,0.643293] area_under_roc_curve 0.68431 [0.648148,0.394172,0.65,0.653846,0.649068,0.394172,0.886364,0.647239,0.858896,0.595085,0.6875,0.648148,0.649068,0.353659,0.521605,0.546875,0.646341,0.394172,0.648148,0.502838,0.654839,0.647239,0.867925,0.647239,0.646341] area_under_roc_curve 0.682396 [0.638889,0.638037,0.640625,0.591935,0.639752,0.134146,0.897727,0.638037,0.615031,0.643312,0.658361,0.638889,0.639752,0.865854,0.361111,0.5375,0.638037,0.638037,0.638889,0.53193,0.646104,0.637195,0.877358,0.638037,0.637195] area_under_roc_curve 0.677029 [0.475309,0.644172,0.646875,0.598387,0.645062,0.643293,0.909091,0.391104,0.608896,0.649682,0.666174,0.645963,0.645963,0.356707,0.524691,0.353125,0.643293,0.644172,0.645963,0.499527,0.652597,0.643293,0.871069,0.644172,0.643293] area_under_roc_curve 0.684607 [0.632716,0.631902,0.634375,0.63871,0.63354,0.128049,0.943182,0.631902,0.621166,0.57906,0.667969,0.632716,0.63354,0.368098,0.537037,0.365625,0.631098,0.631902,0.632716,0.599696,0.63871,0.631902,0.79717,0.378834,0.631098] area_under_roc_curve 0.673224 [0.624224,0.622699,0.624224,0.629032,0.624224,0.118902,0.897727,0.622699,0.630368,0.628205,0.63883,0.623457,0.624224,0.378049,0.377301,0.521875,0.622699,0.622699,0.623457,0.593425,0.629032,0.622699,0.806604,0.369632,0.621951] area_under_roc_curve 0.690809 [0.635802,0.634969,0.636646,0.641026,0.636646,0.381902,0.901515,0.634969,0.871166,0.574443,0.656133,0.635802,0.636646,0.868902,0.364198,0.534375,0.634969,0.634969,0.636646,0.602986,0.641935,0.634969,0.880503,0.634969,0.634146] area_under_roc_curve 0.682805 [0.524068,0.650307,0.653125,0.658065,0.651235,0.64939,0.901515,0.650307,0.602761,0.598291,0.691406,0.651235,0.652174,0.35061,0.311728,0.446875,0.64939,0.397239,0.651235,0.49418,0.659091,0.650307,0.86478,0.650307,0.64939] area_under_roc_curve 0.674774 [0.635802,0.634969,0.6375,0.641935,0.636646,0.634146,0.863636,0.634969,0.618098,0.574443,0.654455,0.635802,0.50854,0.618098,0.533951,0.534375,0.634146,0.634146,0.635802,0.528619,0.642857,0.634969,0.880503,0.634969,0.634146] area_under_roc_curve 0.682931 [0.462963,0.631902,0.63354,0.63871,0.63354,0.631902,0.924242,0.631902,0.621166,0.636943,0.650549,0.632716,0.63354,0.621166,0.537037,0.365625,0.631098,0.631098,0.63354,0.564333,0.63871,0.631902,0.79717,0.631902,0.631098] area_under_roc_curve 0.685914 [0.632716,0.631902,0.634375,0.637821,0.632716,0.631902,0.886364,0.631902,0.621166,0.57906,0.667969,0.632716,0.63354,0.621166,0.621166,0.53125,0.631098,0.378834,0.632716,0.564333,0.63961,0.631902,0.883648,0.631902,0.631098] area_under_roc_curve 0.668247 [0.635802,0.634969,0.50854,0.58871,0.636646,0.381902,0.901515,0.634969,0.868902,0.641026,0.619616,0.635802,0.636646,0.365031,0.364198,0.3625,0.634146,0.634969,0.635802,0.602986,0.642857,0.634969,0.880503,0.634969,0.634146] area_under_roc_curve 0.676329 [0.623457,0.622699,0.625,0.575806,0.624224,0.621951,0.916667,0.622699,0.630368,0.627389,0.65625,0.453704,0.624224,0.881098,0.283951,0.375,0.622699,0.622699,0.623457,0.63245,0.62987,0.621951,0.720126,0.622699,0.621951] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.263 [0,0,0,0,0,0,0.810811,0,0,0,0.45679,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.26364 [0,0,0,0,0,0,0.779221,0,0,0,0.475,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.240975 [0,0,0,0,0,0,0.691358,0,0,0,0.464516,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.249393 [0,0,0,0,0,0,0.74359,0,0,0,0.455696,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.261963 [0,0,0,0,0,0,0.775,0,0,0,0.471338,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.261074 [0,0,0,0,0,0,0.78481,0,0,0,0.471338,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.260031 [0,0,0,0,0,0,0.789474,0,0,0,0.4625,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.255652 [0,0,0,0,0,0,0.767442,0,0,0,0.450331,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.267919 [0,0,0,0,0,0,0.810811,0,0,0,0.466258,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.253201 [0,0,0,0,0,0,0.759494,0,0,0,0.458599,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.249393 [0,0,0,0,0,0,0.74359,0,0,0,0.455696,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.247 [0,0,0,0,0,0,0.725,0,0,0,0.461538,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.244362 [0,0,0,0,0,0,0.72093,0,0,0,0.453333,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.243996 [0,0,0,0,0,0,0.736842,0,0,0,0.4375,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.249568 [0,0,0,0,0,0,0.736842,0,0,0,0.4625,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.253478 [0,0,0,0,0,0,0.753247,0,0,0,0.465409,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.241474 [0,0,0,0,0,0,0.717949,0,0,0,0.443038,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.255191 [0,0,0,0,0,0,0.777778,0,0,0,0.45122,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.246782 [0,0,0,0,0,0,0.736842,0,0,0,0.45,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.259588 [0,0,0,0,0,0,0.794872,0,0,0,0.455696,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.251969 [0,0,0,0,0,0,0.75,0,0,0,0.461538,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.242811 [0,0,0,0,0,0,0.72,0,0,0,0.447205,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.258234 [0,0,0,0,0,0,0.78481,0,0,0,0.458599,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.255837 [0,0,0,0,0,0,0.779221,0,0,0,0.45283,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.249949 [0,0,0,0,0,0,0.765432,0,0,0,0.43871,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.252214 [0,0,0,0,0,0,0.74359,0,0,0,0.468354,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.248169 [0,0,0,0,0,0,0.734177,0,0,0,0.458599,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.258577 [0,0,0,0,0,0,0.765432,0,0,0,0.477419,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.256182 [0,0,0,0,0,0,0.773333,0,0,0,0.459627,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.248244 [0,0,0,0,0,0,0.739726,0,0,0,0.453988,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.265262 [0,0,0,0,0,0,0.815789,0,0,0,0.4625,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.252013 [0,0,0,0,0,0,0.763158,0,0,0,0.45,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.259366 [0,0,0,0,0,0,0.780488,0,0,0,0.467532,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.248314 [0,0,0,0,0,0,0.727273,0,0,0,0.465409,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.242574 [0,0,0,0,0,0,0.746667,0,0,0,0.42236,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.249669 [0,0,0,0,0,0,0.731707,0,0,0,0.467532,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.238764 [0,0,0,0,0,0,0.710526,0,0,0,0.4375,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.248169 [0,0,0,0,0,0,0.734177,0,0,0,0.458599,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.238099 [0,0,0,0,0,0,0.691358,0,0,0,0.451613,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.248331 [0,0,0,0,0,0,0.729412,0,0,0,0.463576,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.242707 [0,0,0,0,0,0,0.727273,0,0,0,0.440252,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.240297 [0,0,0,0,0,0,0.708861,0,0,0,0.44586,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.247 [0,0,0,0,0,0,0.725,0,0,0,0.461538,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.247916 [0,0,0,0,0,0,0.740741,0,0,0,0.451613,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.257245 [0,0,0,0,0,0,0.789474,0,0,0,0.45,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.259772 [0,0,0,0,0,0,0.763158,0,0,0,0.47205,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.269906 [0,0,0,0,0,0,0.785714,0,0,0,0.496732,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.266784 [0,0,0,0,0,0,0.826667,0,0,0,0.459627,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.256766 [0,0,0,0,0,0,0.794872,0,0,0,0.443038,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.261074 [0,0,0,0,0,0,0.78481,0,0,0,0.471338,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.247561 [0,0,0,0,0,0,0.746988,0,0,0,0.444444,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.252013 [0,0,0,0,0,0,0.763158,0,0,0,0.45,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.260714 [0,0,0,0,0,0,0.805556,0,0,0,0.45122,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.253413 [0,0,0,0,0,0,0.773333,0,0,0,0.447205,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.265262 [0,0,0,0,0,0,0.815789,0,0,0,0.4625,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.237256 [0,0,0,0,0,0,0.716049,0,0,0,0.425806,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.244142 [0,0,0,0,0,0,0.725,0,0,0,0.448718,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.230747 [0,0,0,0,0,0,0.684211,0,0,0,0.425,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.243008 [0,0,0,0,0,0,0.716049,0,0,0,0.451613,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.260779 [0,0,0,0,0,0,0.779221,0,0,0,0.4625,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.245329 [0,0,0,0,0,0,0.734177,0,0,0,0.44586,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.24504 [0,0,0,0,0,0,0.740741,0,0,0,0.43871,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.26403 [0,0,0,0,0,0,0.794521,0,0,0,0.463415,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.269737 [0,0,0,0,0,0,0.825,0,0,0,0.474359,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.253201 [0,0,0,0,0,0,0.759494,0,0,0,0.458599,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.257312 [0,0,0,0,0,0,0.769231,0,0,0,0.468354,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.254827 [0,0,0,0,0,0,0.75,0,0,0,0.474359,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.243996 [0,0,0,0,0,0,0.736842,0,0,0,0.4375,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.264215 [0,0,0,0,0,0,0.804878,0,0,0,0.467532,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.231288 [0,0,0,0,0,0,0.682927,0,0,0,0.428571,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.251453 [0,0,0,0,0,0,0.717949,0,0,0,0.468354,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.256334 [0,0,0,0,0,0,0.761905,0,0,0,0.463576,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.259772 [0,0,0,0,0,0,0.810127,0,0,0,0.435897,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.255288 [0,0,0,0,0,0,0.727273,0,0,0,0.489796,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.242129 [0,0,0,0,0,0,0.712329,0,0,0,0.444444,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.250976 [0,0,0,0,0,0,0.789474,0,0,0,0.415094,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.258106 [0,0,0,0,0,0,0.8,0,0,0,0.4375,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.25827 [0,0,0,0,0,0,0.759494,0,0,0,0.474359,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.253045 [0,0,0,0,0,0,0.746667,0,0,0,0.4625,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.248912 [0,0,0,0,0,0,0.736842,0,0,0,0.45283,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.258379 [0,0,0,0,0,0,0.773333,0,0,0,0.4625,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.262259 [0,0,0,0,0,0,0.789474,0,0,0,0.465409,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.242379 [0,0,0,0,0,0,0.693333,0,0,0,0.4625,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.247826 [0,0,0,0,0,0,0.760563,0,0,0,0.426829,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.251867 [0,0,0,0,0,0,0.731707,0,0,0,0.470588,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.264702 [0,0,0,0,0,0,0.815789,0,0,0,0.45283,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.254175 [0,0,0,0,0,0,0.763158,0,0,0,0.45283,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.259164 [0,0,0,0,0,0,0.775,0,0,0,0.464516,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.255901 [0,0,0,0,0,0,0.740741,0,0,0,0.480519,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.256683 [0,0,0,0,0,0,0.769231,0,0,0,0.458599,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.259164 [0,0,0,0,0,0,0.775,0,0,0,0.464516,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.272785 [0,0,0,0,0,0,0.842105,0,0,0,0.465409,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.258567 [0,0,0,0,0,0,0.794521,0,0,0,0.444444,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.263029 [0,0,0,0,0,0,0.779221,0,0,0,0.465409,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.259677 [0,0,0,0,0,0,0.756098,0,0,0,0.48366,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.247641 [0,0,0,0,0,0,0.727273,0,0,0,0.455696,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.264702 [0,0,0,0,0,0,0.815789,0,0,0,0.45283,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.256996 [0,0,0,0,0,0,0.763158,0,0,0,0.465409,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.252354 [0,0,0,0,0,0,0.779221,0,0,0,0.43038,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.266815 [0,0,0,0,0,0,0.821918,0,0,0,0.45679,0,0,0,0,0,0,0,0,0,0,0,0,0,0] kappa 0.238391 kappa 0.242221 kappa 0.216329 kappa 0.223581 kappa 0.24275 kappa 0.246782 kappa 0.238673 kappa 0.23609 kappa 0.241691 kappa 0.23141 kappa 0.223581 kappa 0.223868 kappa 0.224729 kappa 0.207913 kappa 0.223293 kappa 0.231126 kappa 0.208206 kappa 0.222717 kappa 0.215603 kappa 0.238955 kappa 0.231553 kappa 0.207766 kappa 0.239096 kappa 0.231126 kappa 0.224012 kappa 0.231268 kappa 0.223724 kappa 0.247061 kappa 0.230841 kappa 0.215166 kappa 0.246363 kappa 0.223293 kappa 0.2472 kappa 0.223437 kappa 0.200074 kappa 0.231837 kappa 0.200222 kappa 0.223724 kappa 0.208646 kappa 0.232263 kappa 0.208059 kappa 0.208353 kappa 0.223868 kappa 0.224012 kappa 0.230983 kappa 0.23431 kappa 0.266614 kappa 0.246224 kappa 0.231268 kappa 0.246782 kappa 0.224299 kappa 0.223293 kappa 0.230413 kappa 0.223149 kappa 0.246363 kappa 0.200963 kappa 0.216184 kappa 0.184842 kappa 0.216329 kappa 0.234489 kappa 0.216039 kappa 0.216329 kappa 0.233775 kappa 0.262291 kappa 0.23141 kappa 0.238955 kappa 0.239237 kappa 0.207913 kappa 0.254882 kappa 0.193429 kappa 0.220963 kappa 0.241699 kappa 0.233243 kappa 0.25 kappa 0.201363 kappa 0.209562 kappa 0.224915 kappa 0.240988 kappa 0.224915 kappa 0.217312 kappa 0.232666 kappa 0.24056 kappa 0.209414 kappa 0.201062 kappa 0.233674 kappa 0.24056 kappa 0.225061 kappa 0.24113 kappa 0.241273 kappa 0.233099 kappa 0.24113 kappa 0.256059 kappa 0.224624 kappa 0.236364 kappa 0.249156 kappa 0.217459 kappa 0.24056 kappa 0.23281 kappa 0.217459 kappa 0.240132 kb_relative_information_score 27.176654 kb_relative_information_score 27.268622 kb_relative_information_score 26.114599 kb_relative_information_score 25.636949 kb_relative_information_score 27.76921 kb_relative_information_score 27.811432 kb_relative_information_score 27.107863 kb_relative_information_score 28.391755 kb_relative_information_score 27.573756 kb_relative_information_score 27.073216 kb_relative_information_score 26.637494 kb_relative_information_score 26.762116 kb_relative_information_score 27.066352 kb_relative_information_score 25.282405 kb_relative_information_score 26.398642 kb_relative_information_score 26.533813 kb_relative_information_score 25.465492 kb_relative_information_score 26.19872 kb_relative_information_score 26.036667 kb_relative_information_score 27.70924 kb_relative_information_score 27.260792 kb_relative_information_score 25.42896 kb_relative_information_score 27.196181 kb_relative_information_score 27.351721 kb_relative_information_score 26.745945 kb_relative_information_score 26.862026 kb_relative_information_score 26.735368 kb_relative_information_score 27.046004 kb_relative_information_score 26.356982 kb_relative_information_score 26.102047 kb_relative_information_score 27.749968 kb_relative_information_score 26.781432 kb_relative_information_score 28.058107 kb_relative_information_score 26.522879 kb_relative_information_score 25.608374 kb_relative_information_score 27.048132 kb_relative_information_score 25.71758 kb_relative_information_score 26.76372 kb_relative_information_score 25.408902 kb_relative_information_score 27.292573 kb_relative_information_score 24.991463 kb_relative_information_score 26.105149 kb_relative_information_score 26.752228 kb_relative_information_score 26.926783 kb_relative_information_score 26.45103 kb_relative_information_score 26.576599 kb_relative_information_score 28.79406 kb_relative_information_score 27.904952 kb_relative_information_score 27.331926 kb_relative_information_score 27.972716 kb_relative_information_score 27.283145 kb_relative_information_score 26.170186 kb_relative_information_score 27.083697 kb_relative_information_score 26.806595 kb_relative_information_score 27.938934 kb_relative_information_score 25.933705 kb_relative_information_score 26.096291 kb_relative_information_score 24.916346 kb_relative_information_score 26.567365 kb_relative_information_score 27.123948 kb_relative_information_score 26.207797 kb_relative_information_score 26.829087 kb_relative_information_score 26.564561 kb_relative_information_score 28.39474 kb_relative_information_score 26.613645 kb_relative_information_score 27.050837 kb_relative_information_score 27.02647 kb_relative_information_score 25.669176 kb_relative_information_score 28.347934 kb_relative_information_score 25.157234 kb_relative_information_score 26.373152 kb_relative_information_score 27.407431 kb_relative_information_score 27.340626 kb_relative_information_score 28.320197 kb_relative_information_score 25.344781 kb_relative_information_score 25.868347 kb_relative_information_score 26.998139 kb_relative_information_score 26.906841 kb_relative_information_score 25.943391 kb_relative_information_score 25.814999 kb_relative_information_score 26.668827 kb_relative_information_score 27.321683 kb_relative_information_score 25.41891 kb_relative_information_score 25.075949 kb_relative_information_score 27.179055 kb_relative_information_score 27.807144 kb_relative_information_score 26.407467 kb_relative_information_score 27.133979 kb_relative_information_score 27.336222 kb_relative_information_score 27.127305 kb_relative_information_score 27.494749 kb_relative_information_score 27.769554 kb_relative_information_score 26.237678 kb_relative_information_score 27.349523 kb_relative_information_score 27.811409 kb_relative_information_score 26.167049 kb_relative_information_score 27.192971 kb_relative_information_score 26.81852 kb_relative_information_score 26.747869 kb_relative_information_score 26.391452 mean_absolute_error 0.062736 mean_absolute_error 0.062558 mean_absolute_error 0.063308 mean_absolute_error 0.063206 mean_absolute_error 0.062319 mean_absolute_error 0.062376 mean_absolute_error 0.062682 mean_absolute_error 0.062045 mean_absolute_error 0.062567 mean_absolute_error 0.062752 mean_absolute_error 0.063038 mean_absolute_error 0.063028 mean_absolute_error 0.062607 mean_absolute_error 0.063509 mean_absolute_error 0.063214 mean_absolute_error 0.062952 mean_absolute_error 0.063503 mean_absolute_error 0.063291 mean_absolute_error 0.063367 mean_absolute_error 0.062475 mean_absolute_error 0.062723 mean_absolute_error 0.063643 mean_absolute_error 0.06253 mean_absolute_error 0.062751 mean_absolute_error 0.062728 mean_absolute_error 0.062926 mean_absolute_error 0.063038 mean_absolute_error 0.062447 mean_absolute_error 0.063018 mean_absolute_error 0.063511 mean_absolute_error 0.062432 mean_absolute_error 0.063073 mean_absolute_error 0.062157 mean_absolute_error 0.063171 mean_absolute_error 0.063622 mean_absolute_error 0.062715 mean_absolute_error 0.063767 mean_absolute_error 0.063017 mean_absolute_error 0.063426 mean_absolute_error 0.062554 mean_absolute_error 0.06363 mean_absolute_error 0.063411 mean_absolute_error 0.063058 mean_absolute_error 0.062823 mean_absolute_error 0.062876 mean_absolute_error 0.062934 mean_absolute_error 0.061629 mean_absolute_error 0.062408 mean_absolute_error 0.062569 mean_absolute_error 0.062342 mean_absolute_error 0.062638 mean_absolute_error 0.063141 mean_absolute_error 0.063007 mean_absolute_error 0.06303 mean_absolute_error 0.062391 mean_absolute_error 0.063408 mean_absolute_error 0.06316 mean_absolute_error 0.06412 mean_absolute_error 0.063142 mean_absolute_error 0.06268 mean_absolute_error 0.063169 mean_absolute_error 0.06293 mean_absolute_error 0.062937 mean_absolute_error 0.061829 mean_absolute_error 0.062875 mean_absolute_error 0.062708 mean_absolute_error 0.062689 mean_absolute_error 0.063518 mean_absolute_error 0.061958 mean_absolute_error 0.06371 mean_absolute_error 0.063074 mean_absolute_error 0.062255 mean_absolute_error 0.062378 mean_absolute_error 0.06198 mean_absolute_error 0.063832 mean_absolute_error 0.063144 mean_absolute_error 0.062802 mean_absolute_error 0.062629 mean_absolute_error 0.063211 mean_absolute_error 0.06332 mean_absolute_error 0.062898 mean_absolute_error 0.062577 mean_absolute_error 0.063691 mean_absolute_error 0.06379 mean_absolute_error 0.06264 mean_absolute_error 0.062377 mean_absolute_error 0.062986 mean_absolute_error 0.062437 mean_absolute_error 0.062539 mean_absolute_error 0.062667 mean_absolute_error 0.062385 mean_absolute_error 0.062126 mean_absolute_error 0.063046 mean_absolute_error 0.062625 mean_absolute_error 0.062232 mean_absolute_error 0.063226 mean_absolute_error 0.062487 mean_absolute_error 0.062847 mean_absolute_error 0.062948 mean_absolute_error 0.062727 mean_prior_absolute_error 0.071023 mean_prior_absolute_error 0.070926 mean_prior_absolute_error 0.071001 mean_prior_absolute_error 0.071035 mean_prior_absolute_error 0.07092 mean_prior_absolute_error 0.071006 mean_prior_absolute_error 0.071014 mean_prior_absolute_error 0.070949 mean_prior_absolute_error 0.070935 mean_prior_absolute_error 0.070986 mean_prior_absolute_error 0.071028 mean_prior_absolute_error 0.071026 mean_prior_absolute_error 0.070993 mean_prior_absolute_error 0.070988 mean_prior_absolute_error 0.071003 mean_prior_absolute_error 0.071007 mean_prior_absolute_error 0.071039 mean_prior_absolute_error 0.071047 mean_prior_absolute_error 0.071024 mean_prior_absolute_error 0.070989 mean_prior_absolute_error 0.071028 mean_prior_absolute_error 0.070989 mean_prior_absolute_error 0.071013 mean_prior_absolute_error 0.070988 mean_prior_absolute_error 0.071018 mean_prior_absolute_error 0.071012 mean_prior_absolute_error 0.071024 mean_prior_absolute_error 0.071045 mean_prior_absolute_error 0.070987 mean_prior_absolute_error 0.071012 mean_prior_absolute_error 0.071038 mean_prior_absolute_error 0.071029 mean_prior_absolute_error 0.071009 mean_prior_absolute_error 0.070988 mean_prior_absolute_error 0.071018 mean_prior_absolute_error 0.071019 mean_prior_absolute_error 0.071021 mean_prior_absolute_error 0.071016 mean_prior_absolute_error 0.070982 mean_prior_absolute_error 0.071035 mean_prior_absolute_error 0.071023 mean_prior_absolute_error 0.071008 mean_prior_absolute_error 0.07104 mean_prior_absolute_error 0.070995 mean_prior_absolute_error 0.071035 mean_prior_absolute_error 0.070941 mean_prior_absolute_error 0.070888 mean_prior_absolute_error 0.07101 mean_prior_absolute_error 0.07099 mean_prior_absolute_error 0.071019 mean_prior_absolute_error 0.071023 mean_prior_absolute_error 0.071008 mean_prior_absolute_error 0.071039 mean_prior_absolute_error 0.070994 mean_prior_absolute_error 0.071015 mean_prior_absolute_error 0.071027 mean_prior_absolute_error 0.071013 mean_prior_absolute_error 0.07101 mean_prior_absolute_error 0.071035 mean_prior_absolute_error 0.07095 mean_prior_absolute_error 0.071014 mean_prior_absolute_error 0.071016 mean_prior_absolute_error 0.070949 mean_prior_absolute_error 0.070994 mean_prior_absolute_error 0.071018 mean_prior_absolute_error 0.071032 mean_prior_absolute_error 0.071018 mean_prior_absolute_error 0.07101 mean_prior_absolute_error 0.071035 mean_prior_absolute_error 0.071032 mean_prior_absolute_error 0.070856 mean_prior_absolute_error 0.070971 mean_prior_absolute_error 0.070963 mean_prior_absolute_error 0.070996 mean_prior_absolute_error 0.070967 mean_prior_absolute_error 0.070983 mean_prior_absolute_error 0.070968 mean_prior_absolute_error 0.070938 mean_prior_absolute_error 0.070985 mean_prior_absolute_error 0.071 mean_prior_absolute_error 0.070954 mean_prior_absolute_error 0.070971 mean_prior_absolute_error 0.070963 mean_prior_absolute_error 0.071019 mean_prior_absolute_error 0.070975 mean_prior_absolute_error 0.070956 mean_prior_absolute_error 0.070968 mean_prior_absolute_error 0.070948 mean_prior_absolute_error 0.070988 mean_prior_absolute_error 0.070961 mean_prior_absolute_error 0.070957 mean_prior_absolute_error 0.071 mean_prior_absolute_error 0.070974 mean_prior_absolute_error 0.070947 mean_prior_absolute_error 0.070975 mean_prior_absolute_error 0.07096 mean_prior_absolute_error 0.07099 mean_prior_absolute_error 0.070972 mean_prior_absolute_error 0.070984 mean_prior_absolute_error 0.070961 number_of_instances 166 [4,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,13,11,1,6,2,1] number_of_instances 166 [3,2,4,10,4,1,33,2,2,9,38,3,5,2,2,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,1,33,2,2,9,38,3,5,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [4,2,5,10,4,1,33,2,2,8,37,3,4,2,3,5,1,2,3,14,11,2,6,1,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,8,37,3,4,2,3,5,1,1,4,14,11,2,6,2,1] number_of_instances 166 [3,2,4,10,3,2,33,2,2,8,38,3,5,2,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,4,10,3,2,33,2,2,9,38,3,4,2,2,5,1,2,4,13,11,2,6,2,1] number_of_instances 166 [4,2,5,10,4,1,33,2,1,9,37,3,4,1,3,5,2,1,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,1,9,37,3,4,2,2,5,2,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,1,33,2,1,9,37,4,5,2,2,5,2,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,1,9,37,3,4,1,2,5,2,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,1,8,37,3,5,2,3,5,1,2,3,14,11,2,6,1,1] number_of_instances 166 [3,2,5,10,4,2,33,2,1,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [4,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,8,37,3,5,2,3,5,2,1,3,13,11,2,6,2,1] number_of_instances 166 [4,2,5,10,3,1,33,2,2,9,37,3,4,2,2,5,1,2,4,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,3,5,1,1,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,2,5,2,2,3,13,11,2,6,1,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,4,14,11,1,6,1,1] number_of_instances 166 [3,2,5,9,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,8,37,3,4,2,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,4,4,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,2,3,5,2,1,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,3,1,33,2,2,9,37,4,5,2,2,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,9,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,9,4,2,33,2,2,8,37,3,4,1,3,5,2,2,4,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,2,3,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,8,37,3,4,2,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,4,1,2,5,2,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,5,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,3,5,2,2,3,14,10,1,6,1,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,5,2,3,5,1,1,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,9,3,2,33,2,2,9,37,3,5,2,2,5,1,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,2,3,5,1,2,4,13,11,2,6,1,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,11,2,6,1,1] number_of_instances 166 [3,2,5,9,4,2,33,2,2,9,37,3,4,2,3,5,2,1,4,14,10,1,6,2,1] number_of_instances 166 [3,2,5,9,3,2,33,2,2,9,38,3,4,1,2,5,2,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,1,33,2,1,9,38,3,5,1,3,5,2,2,3,14,11,2,6,1,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,3,5,1,2,4,14,10,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,3,5,2,1,3,14,11,2,6,1,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,4,2,2,5,1,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,2,3,5,1,1,4,13,11,2,6,2,1] number_of_instances 166 [4,2,5,10,3,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,2,5,2,1,4,14,10,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,9,4,1,33,2,2,9,37,3,4,1,3,5,2,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,1,3,5,1,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,38,3,4,2,2,5,1,2,3,13,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [4,2,5,10,3,2,33,2,2,9,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,38,4,4,2,3,5,1,1,3,13,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,4,4,2,2,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,2,2,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,4,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,8,38,3,5,1,3,5,1,1,3,14,11,2,6,2,1] number_of_instances 165 [3,2,5,10,3,2,33,2,2,9,37,3,4,2,3,5,1,1,3,14,10,2,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,9,37,3,5,2,2,5,1,1,3,13,10,2,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,13,11,1,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,10,1,6,2,1] number_of_instances 165 [4,2,5,10,4,1,33,2,1,9,37,3,4,1,2,5,1,2,3,14,11,2,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,2,8,37,4,4,2,3,5,1,2,3,13,11,2,6,1,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,8,37,3,5,1,3,5,1,1,4,14,11,2,6,2,1] number_of_instances 165 [3,2,5,10,3,2,33,2,2,9,37,3,4,2,3,5,1,1,3,14,10,2,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,1,8,37,3,5,2,3,5,2,1,4,13,10,2,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,9,37,4,4,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,8,37,4,4,2,3,5,1,1,3,14,11,1,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,10,1,6,2,1] number_of_instances 165 [3,2,5,10,3,2,33,2,2,9,37,3,4,1,2,5,1,2,3,14,11,2,6,2,1] number_of_instances 165 [3,2,5,9,4,2,33,2,2,9,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,8,37,3,4,1,3,5,2,2,3,14,11,1,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,8,37,4,4,1,3,5,1,2,4,14,11,1,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,9,37,3,4,2,3,5,1,2,3,13,10,2,6,2,1] number_of_instances 165 [4,2,4,10,4,1,33,2,2,9,37,3,4,1,2,5,2,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,4,9,4,2,33,2,2,8,38,3,4,1,3,5,2,2,4,13,10,2,6,2,1] number_of_instances 165 [4,2,5,10,3,1,33,2,2,9,37,3,4,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,8,37,3,4,2,3,5,1,1,3,14,11,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,2,8,37,3,4,2,3,5,1,1,4,14,10,2,6,2,1] number_of_instances 165 [3,2,5,9,3,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,11,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,1,9,37,3,4,2,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,8,37,3,4,1,3,5,2,2,3,14,11,1,6,2,1] precision 0.211436 [0,0,0,0,0,0,0.731707,0,0,0,0.296,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.206844 [0,0,0,0,0,0,0.681818,0,0,0,0.311475,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.183965 [0,0,0,0,0,0,0.583333,0,0,0,0.305085,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.194427 [0,0,0,0,0,0,0.644444,0,0,0,0.297521,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.202296 [0,0,0,0,0,0,0.659574,0,0,0,0.310924,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.202696 [0,0,0,0,0,0,0.673913,0,0,0,0.308333,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.205743 [0,0,0,0,0,0,0.697674,0,0,0,0.300813,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.192655 [0,0,0,0,0,0,0.622642,0,0,0,0.300885,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.21505 [0,0,0,0,0,0,0.731707,0,0,0,0.304,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.196517 [0,0,0,0,0,0,0.652174,0,0,0,0.3,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.194427 [0,0,0,0,0,0,0.644444,0,0,0,0.297521,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.19009 [0,0,0,0,0,0,0.617021,0,0,0,0.302521,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.183341 [0,0,0,0,0,0,0.584906,0,0,0,0.300885,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.192872 [0,0,0,0,0,0,0.651163,0,0,0,0.284553,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.196497 [0,0,0,0,0,0,0.651163,0,0,0,0.300813,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.198622 [0,0,0,0,0,0,0.659091,0,0,0,0.303279,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.188168 [0,0,0,0,0,0,0.622222,0,0,0,0.289256,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.207662 [0,0,0,0,0,0,0.717949,0,0,0,0.291339,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.194685 [0,0,0,0,0,0,0.651163,0,0,0,0.292683,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.203263 [0,0,0,0,0,0,0.688889,0,0,0,0.297521,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.19432 [0,0,0,0,0,0,0.638298,0,0,0,0.302521,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.192507 [0,0,0,0,0,0,0.642857,0,0,0,0.290323,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.200838 [0,0,0,0,0,0,0.673913,0,0,0,0.3,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.201313 [0,0,0,0,0,0,0.681818,0,0,0,0.295082,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.192612 [0,0,0,0,0,0,0.645833,0,0,0,0.288136,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.196269 [0,0,0,0,0,0,0.644444,0,0,0,0.305785,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.192195 [0,0,0,0,0,0,0.630435,0,0,0,0.3,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.198278 [0,0,0,0,0,0,0.645833,0,0,0,0.313559,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.203771 [0,0,0,0,0,0,0.690476,0,0,0,0.298387,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.199639 [0,0,0,0,0,0,0.675,0,0,0,0.293651,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.210366 [0,0,0,0,0,0,0.72093,0,0,0,0.300813,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.199308 [0,0,0,0,0,0,0.674419,0,0,0,0.292683,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.198407 [0,0,0,0,0,0,0.653061,0,0,0,0.307692,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.194104 [0,0,0,0,0,0,0.636364,0,0,0,0.303279,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.193646 [0,0,0,0,0,0,0.666667,0,0,0,0.274194,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.190293 [0,0,0,0,0,0,0.612245,0,0,0,0.307692,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.188249 [0,0,0,0,0,0,0.627907,0,0,0,0.284553,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.192195 [0,0,0,0,0,0,0.630435,0,0,0,0.3,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.182076 [0,0,0,0,0,0,0.583333,0,0,0,0.29661,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.186944 [0,0,0,0,0,0,0.596154,0,0,0,0.307018,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.19045 [0,0,0,0,0,0,0.636364,0,0,0,0.286885,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.186016 [0,0,0,0,0,0,0.608696,0,0,0,0.291667,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.19009 [0,0,0,0,0,0,0.617021,0,0,0,0.302521,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.190359 [0,0,0,0,0,0,0.625,0,0,0,0.29661,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.203931 [0,0,0,0,0,0,0.697674,0,0,0,0.292683,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.204793 [0,0,0,0,0,0,0.674419,0,0,0,0.308943,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.204274 [0,0,0,0,0,0,0.647059,0,0,0,0.330435,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.213238 [0,0,0,0,0,0,0.738095,0,0,0,0.298387,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.201421 [0,0,0,0,0,0,0.688889,0,0,0,0.289256,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.202696 [0,0,0,0,0,0,0.673913,0,0,0,0.308333,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.188583 [0,0,0,0,0,0,0.62,0,0,0,0.293103,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.199308 [0,0,0,0,0,0,0.674419,0,0,0,0.292683,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.212759 [0,0,0,0,0,0,0.74359,0,0,0,0.291339,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.201974 [0,0,0,0,0,0,0.690476,0,0,0,0.290323,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.210366 [0,0,0,0,0,0,0.72093,0,0,0,0.300813,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.18244 [0,0,0,0,0,0,0.604167,0,0,0,0.279661,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.188217 [0,0,0,0,0,0,0.617021,0,0,0,0.294118,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.181814 [0,0,0,0,0,0,0.604651,0,0,0,0.276423,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.186217 [0,0,0,0,0,0,0.604167,0,0,0,0.29661,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.204967 [0,0,0,0,0,0,0.681818,0,0,0,0.303279,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.190337 [0,0,0,0,0,0,0.630435,0,0,0,0.291667,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.18847 [0,0,0,0,0,0,0.625,0,0,0,0.288136,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.213165 [0,0,0,0,0,0,0.725,0,0,0,0.301587,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.208882 [0,0,0,0,0,0,0.702128,0,0,0,0.310924,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.196517 [0,0,0,0,0,0,0.652174,0,0,0,0.3,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.200687 [0,0,0,0,0,0,0.666667,0,0,0,0.305785,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.196193 [0,0,0,0,0,0,0.638298,0,0,0,0.310924,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.192872 [0,0,0,0,0,0,0.651163,0,0,0,0.284553,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.202464 [0,0,0,0,0,0,0.673469,0,0,0,0.307692,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.176464 [0,0,0,0,0,0,0.571429,0,0,0,0.282051,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.195455 [0,0,0,0,0,0,0.622222,0,0,0,0.308333,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.194337 [0,0,0,0,0,0,0.627451,0,0,0,0.307018,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.2032 [0,0,0,0,0,0,0.695652,0,0,0,0.285714,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.189752 [0,0,0,0,0,0,0.581818,0,0,0,0.327273,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.194582 [0,0,0,0,0,0,0.65,0,0,0,0.288,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.200191 [0,0,0,0,0,0,0.697674,0,0,0,0.270492,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.206666 [0,0,0,0,0,0,0.714286,0,0,0,0.284553,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.200157 [0,0,0,0,0,0,0.652174,0,0,0,0.310924,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.200788 [0,0,0,0,0,0,0.666667,0,0,0,0.300813,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.196402 [0,0,0,0,0,0,0.651163,0,0,0,0.295082,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.20555 [0,0,0,0,0,0,0.690476,0,0,0,0.300813,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.207543 [0,0,0,0,0,0,0.697674,0,0,0,0.303279,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.191265 [0,0,0,0,0,0,0.619048,0,0,0,0.300813,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.203904 [0,0,0,0,0,0,0.710526,0,0,0,0.275591,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.192041 [0,0,0,0,0,0,0.612245,0,0,0,0.310345,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.210356 [0,0,0,0,0,0,0.72093,0,0,0,0.295082,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.201054 [0,0,0,0,0,0,0.674419,0,0,0,0.295082,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.200328 [0,0,0,0,0,0,0.659574,0,0,0,0.305085,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.195914 [0,0,0,0,0,0,0.625,0,0,0,0.316239,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.200606 [0,0,0,0,0,0,0.666667,0,0,0,0.3,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.200328 [0,0,0,0,0,0,0.659574,0,0,0,0.305085,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.216845 [0,0,0,0,0,0,0.744186,0,0,0,0.303279,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.209582 [0,0,0,0,0,0,0.725,0,0,0,0.288,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.206787 [0,0,0,0,0,0,0.681818,0,0,0,0.305785,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.198056 [0,0,0,0,0,0,0.632653,0,0,0,0.318966,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.193989 [0,0,0,0,0,0,0.636364,0,0,0,0.297521,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.210356 [0,0,0,0,0,0,0.72093,0,0,0,0.295082,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.202892 [0,0,0,0,0,0,0.674419,0,0,0,0.303279,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.199374 [0,0,0,0,0,0,0.681818,0,0,0,0.280992,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.216376 [0,0,0,0,0,0,0.75,0,0,0,0.296,0,0,0,0,0,0,0,0,0,0,0,0,0,0] predictive_accuracy 0.403614 predictive_accuracy 0.409639 predictive_accuracy 0.385542 predictive_accuracy 0.391566 predictive_accuracy 0.409639 predictive_accuracy 0.409639 predictive_accuracy 0.403614 predictive_accuracy 0.403614 predictive_accuracy 0.409639 predictive_accuracy 0.39759 predictive_accuracy 0.391566 predictive_accuracy 0.391566 predictive_accuracy 0.391566 predictive_accuracy 0.379518 predictive_accuracy 0.391566 predictive_accuracy 0.39759 predictive_accuracy 0.379518 predictive_accuracy 0.391566 predictive_accuracy 0.385542 predictive_accuracy 0.403614 predictive_accuracy 0.39759 predictive_accuracy 0.379518 predictive_accuracy 0.403614 predictive_accuracy 0.39759 predictive_accuracy 0.391566 predictive_accuracy 0.39759 predictive_accuracy 0.391566 predictive_accuracy 0.409639 predictive_accuracy 0.39759 predictive_accuracy 0.385542 predictive_accuracy 0.409639 predictive_accuracy 0.391566 predictive_accuracy 0.409639 predictive_accuracy 0.391566 predictive_accuracy 0.373494 predictive_accuracy 0.39759 predictive_accuracy 0.373494 predictive_accuracy 0.391566 predictive_accuracy 0.379518 predictive_accuracy 0.39759 predictive_accuracy 0.379518 predictive_accuracy 0.379518 predictive_accuracy 0.391566 predictive_accuracy 0.391566 predictive_accuracy 0.39759 predictive_accuracy 0.403614 predictive_accuracy 0.427711 predictive_accuracy 0.409639 predictive_accuracy 0.39759 predictive_accuracy 0.409639 predictive_accuracy 0.391566 predictive_accuracy 0.391566 predictive_accuracy 0.39759 predictive_accuracy 0.391566 predictive_accuracy 0.409639 predictive_accuracy 0.373494 predictive_accuracy 0.385542 predictive_accuracy 0.361446 predictive_accuracy 0.385542 predictive_accuracy 0.403614 predictive_accuracy 0.385542 predictive_accuracy 0.385542 predictive_accuracy 0.403614 predictive_accuracy 0.421687 predictive_accuracy 0.39759 predictive_accuracy 0.403614 predictive_accuracy 0.403614 predictive_accuracy 0.379518 predictive_accuracy 0.415663 predictive_accuracy 0.36747 predictive_accuracy 0.393939 predictive_accuracy 0.406061 predictive_accuracy 0.4 predictive_accuracy 0.412121 predictive_accuracy 0.375758 predictive_accuracy 0.381818 predictive_accuracy 0.393939 predictive_accuracy 0.406061 predictive_accuracy 0.393939 predictive_accuracy 0.387879 predictive_accuracy 0.4 predictive_accuracy 0.406061 predictive_accuracy 0.381818 predictive_accuracy 0.375758 predictive_accuracy 0.4 predictive_accuracy 0.406061 predictive_accuracy 0.393939 predictive_accuracy 0.406061 predictive_accuracy 0.406061 predictive_accuracy 0.4 predictive_accuracy 0.406061 predictive_accuracy 0.418182 predictive_accuracy 0.393939 predictive_accuracy 0.406061 predictive_accuracy 0.412121 predictive_accuracy 0.387879 predictive_accuracy 0.406061 predictive_accuracy 0.4 predictive_accuracy 0.387879 predictive_accuracy 0.406061 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 recall 0.403614 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.409639 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.385542 [0,0,0,0,0,0,0.848485,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.878788,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.409639 [0,0,0,0,0,0,0.939394,0,0,0,0.973684,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.409639 [0,0,0,0,0,0,0.939394,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.403614 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.403614 [0,0,0,0,0,0,1,0,0,0,0.894737,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.409639 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.909091,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.878788,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.878788,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.939394,0,0,0,0.918919,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.379518 [0,0,0,0,0,0,0.848485,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.848485,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.878788,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.379518 [0,0,0,0,0,0,0.848485,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.848485,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.385542 [0,0,0,0,0,0,0.848485,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.403614 [0,0,0,0,0,0,0.939394,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.909091,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.379518 [0,0,0,0,0,0,0.818182,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.403614 [0,0,0,0,0,0,0.939394,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.909091,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.939394,0,0,0,0.918919,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.878788,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.878788,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.409639 [0,0,0,0,0,0,0.939394,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.878788,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.385542 [0,0,0,0,0,0,0.818182,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.409639 [0,0,0,0,0,0,0.939394,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.878788,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.409639 [0,0,0,0,0,0,0.969697,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.848485,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.373494 [0,0,0,0,0,0,0.848485,0,0,0,0.918919,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.909091,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.373494 [0,0,0,0,0,0,0.818182,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.878788,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.379518 [0,0,0,0,0,0,0.848485,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.939394,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.379518 [0,0,0,0,0,0,0.848485,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.379518 [0,0,0,0,0,0,0.848485,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.878788,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.909091,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.909091,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.403614 [0,0,0,0,0,0,0.878788,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.427711 [0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.409639 [0,0,0,0,0,0,0.939394,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.939394,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.409639 [0,0,0,0,0,0,0.939394,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.939394,0,0,0,0.918919,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.878788,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.878788,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.391566 [0,0,0,0,0,0,0.878788,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.409639 [0,0,0,0,0,0,0.939394,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.373494 [0,0,0,0,0,0,0.878788,0,0,0,0.891892,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.385542 [0,0,0,0,0,0,0.878788,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.361446 [0,0,0,0,0,0,0.787879,0,0,0,0.918919,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.385542 [0,0,0,0,0,0,0.878788,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.403614 [0,0,0,0,0,0,0.909091,0,0,0,0.973684,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.385542 [0,0,0,0,0,0,0.878788,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.385542 [0,0,0,0,0,0,0.909091,0,0,0,0.918919,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.403614 [0,0,0,0,0,0,0.878788,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.421687 [0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.39759 [0,0,0,0,0,0,0.909091,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.403614 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.403614 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.379518 [0,0,0,0,0,0,0.848485,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.415663 [0,0,0,0,0,0,1,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.36747 [0,0,0,0,0,0,0.848485,0,0,0,0.891892,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.393939 [0,0,0,0,0,0,0.848485,0,0,0,0.973684,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.406061 [0,0,0,0,0,0,0.969697,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.4 [0,0,0,0,0,0,0.969697,0,0,0,0.918919,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.412121 [0,0,0,0,0,0,0.969697,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.375758 [0,0,0,0,0,0,0.787879,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.381818 [0,0,0,0,0,0,0.909091,0,0,0,0.891892,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.393939 [0,0,0,0,0,0,0.909091,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.406061 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.393939 [0,0,0,0,0,0,0.848485,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.387879 [0,0,0,0,0,0,0.848485,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.4 [0,0,0,0,0,0,0.878788,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.406061 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.381818 [0,0,0,0,0,0,0.787879,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.375758 [0,0,0,0,0,0,0.818182,0,0,0,0.945946,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.4 [0,0,0,0,0,0,0.909091,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.406061 [0,0,0,0,0,0,0.939394,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.393939 [0,0,0,0,0,0,0.878788,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.406061 [0,0,0,0,0,0,0.939394,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.406061 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.4 [0,0,0,0,0,0,0.909091,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.406061 [0,0,0,0,0,0,0.939394,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.418182 [0,0,0,0,0,0,0.969697,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.393939 [0,0,0,0,0,0,0.878788,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.406061 [0,0,0,0,0,0,0.909091,0,0,0,0.973684,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.412121 [0,0,0,0,0,0,0.939394,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.387879 [0,0,0,0,0,0,0.848485,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.406061 [0,0,0,0,0,0,0.939394,0,0,0,0.972973,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.4 [0,0,0,0,0,0,0.878788,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.387879 [0,0,0,0,0,0,0.909091,0,0,0,0.918919,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.406061 [0,0,0,0,0,0,0.909091,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.883314 relative_absolute_error 0.882008 relative_absolute_error 0.89165 relative_absolute_error 0.889779 relative_absolute_error 0.878729 relative_absolute_error 0.878468 relative_absolute_error 0.882671 relative_absolute_error 0.874495 relative_absolute_error 0.882036 relative_absolute_error 0.884005 relative_absolute_error 0.887507 relative_absolute_error 0.887398 relative_absolute_error 0.88187 relative_absolute_error 0.894646 relative_absolute_error 0.890305 relative_absolute_error 0.886558 relative_absolute_error 0.893927 relative_absolute_error 0.890835 relative_absolute_error 0.892202 relative_absolute_error 0.880066 relative_absolute_error 0.883081 relative_absolute_error 0.896525 relative_absolute_error 0.880551 relative_absolute_error 0.883957 relative_absolute_error 0.883276 relative_absolute_error 0.886121 relative_absolute_error 0.887555 relative_absolute_error 0.878979 relative_absolute_error 0.887742 relative_absolute_error 0.894359 relative_absolute_error 0.878849 relative_absolute_error 0.887988 relative_absolute_error 0.875335 relative_absolute_error 0.889877 relative_absolute_error 0.895855 relative_absolute_error 0.883066 relative_absolute_error 0.897856 relative_absolute_error 0.887357 relative_absolute_error 0.893541 relative_absolute_error 0.880607 relative_absolute_error 0.895905 relative_absolute_error 0.893005 relative_absolute_error 0.887652 relative_absolute_error 0.88489 relative_absolute_error 0.885132 relative_absolute_error 0.887127 relative_absolute_error 0.86939 relative_absolute_error 0.878866 relative_absolute_error 0.881373 relative_absolute_error 0.877832 relative_absolute_error 0.881939 relative_absolute_error 0.889208 relative_absolute_error 0.88693 relative_absolute_error 0.887823 relative_absolute_error 0.878559 relative_absolute_error 0.892728 relative_absolute_error 0.889409 relative_absolute_error 0.902982 relative_absolute_error 0.888888 relative_absolute_error 0.883435 relative_absolute_error 0.889532 relative_absolute_error 0.886144 relative_absolute_error 0.887069 relative_absolute_error 0.870901 relative_absolute_error 0.885335 relative_absolute_error 0.88281 relative_absolute_error 0.882716 relative_absolute_error 0.894489 relative_absolute_error 0.872222 relative_absolute_error 0.896912 relative_absolute_error 0.890175 relative_absolute_error 0.877181 relative_absolute_error 0.879019 relative_absolute_error 0.87301 relative_absolute_error 0.899452 relative_absolute_error 0.889563 relative_absolute_error 0.884932 relative_absolute_error 0.882864 relative_absolute_error 0.890484 relative_absolute_error 0.891828 relative_absolute_error 0.886473 relative_absolute_error 0.881719 relative_absolute_error 0.897522 relative_absolute_error 0.898212 relative_absolute_error 0.882564 relative_absolute_error 0.879089 relative_absolute_error 0.887527 relative_absolute_error 0.880046 relative_absolute_error 0.880976 relative_absolute_error 0.883123 relative_absolute_error 0.8792 relative_absolute_error 0.875014 relative_absolute_error 0.888306 relative_absolute_error 0.882702 relative_absolute_error 0.876809 relative_absolute_error 0.891014 relative_absolute_error 0.880222 relative_absolute_error 0.885516 relative_absolute_error 0.886793 relative_absolute_error 0.883971 root_mean_prior_squared_error 0.188368 root_mean_prior_squared_error 0.188112 root_mean_prior_squared_error 0.188311 root_mean_prior_squared_error 0.1884 root_mean_prior_squared_error 0.188094 root_mean_prior_squared_error 0.188322 root_mean_prior_squared_error 0.188344 root_mean_prior_squared_error 0.188173 root_mean_prior_squared_error 0.188135 root_mean_prior_squared_error 0.188271 root_mean_prior_squared_error 0.188381 root_mean_prior_squared_error 0.188375 root_mean_prior_squared_error 0.188288 root_mean_prior_squared_error 0.188276 root_mean_prior_squared_error 0.188315 root_mean_prior_squared_error 0.188327 root_mean_prior_squared_error 0.18841 root_mean_prior_squared_error 0.188431 root_mean_prior_squared_error 0.18837 root_mean_prior_squared_error 0.188277 root_mean_prior_squared_error 0.188381 root_mean_prior_squared_error 0.188278 root_mean_prior_squared_error 0.188341 root_mean_prior_squared_error 0.188276 root_mean_prior_squared_error 0.188355 root_mean_prior_squared_error 0.18834 root_mean_prior_squared_error 0.188372 root_mean_prior_squared_error 0.188426 root_mean_prior_squared_error 0.188272 root_mean_prior_squared_error 0.18834 root_mean_prior_squared_error 0.188408 root_mean_prior_squared_error 0.188384 root_mean_prior_squared_error 0.188332 root_mean_prior_squared_error 0.188276 root_mean_prior_squared_error 0.188355 root_mean_prior_squared_error 0.188358 root_mean_prior_squared_error 0.188364 root_mean_prior_squared_error 0.188351 root_mean_prior_squared_error 0.18826 root_mean_prior_squared_error 0.1884 root_mean_prior_squared_error 0.188369 root_mean_prior_squared_error 0.18833 root_mean_prior_squared_error 0.188412 root_mean_prior_squared_error 0.188295 root_mean_prior_squared_error 0.188401 root_mean_prior_squared_error 0.188151 root_mean_prior_squared_error 0.188009 root_mean_prior_squared_error 0.188333 root_mean_prior_squared_error 0.188282 root_mean_prior_squared_error 0.188357 root_mean_prior_squared_error 0.188369 root_mean_prior_squared_error 0.18833 root_mean_prior_squared_error 0.188412 root_mean_prior_squared_error 0.188291 root_mean_prior_squared_error 0.188346 root_mean_prior_squared_error 0.188378 root_mean_prior_squared_error 0.188342 root_mean_prior_squared_error 0.188333 root_mean_prior_squared_error 0.1884 root_mean_prior_squared_error 0.188175 root_mean_prior_squared_error 0.188344 root_mean_prior_squared_error 0.188349 root_mean_prior_squared_error 0.188173 root_mean_prior_squared_error 0.188291 root_mean_prior_squared_error 0.188355 root_mean_prior_squared_error 0.188393 root_mean_prior_squared_error 0.188356 root_mean_prior_squared_error 0.188333 root_mean_prior_squared_error 0.1884 root_mean_prior_squared_error 0.188393 root_mean_prior_squared_error 0.187924 root_mean_prior_squared_error 0.188231 root_mean_prior_squared_error 0.188209 root_mean_prior_squared_error 0.188296 root_mean_prior_squared_error 0.188221 root_mean_prior_squared_error 0.188263 root_mean_prior_squared_error 0.188223 root_mean_prior_squared_error 0.188143 root_mean_prior_squared_error 0.188267 root_mean_prior_squared_error 0.188307 root_mean_prior_squared_error 0.188184 root_mean_prior_squared_error 0.188231 root_mean_prior_squared_error 0.188209 root_mean_prior_squared_error 0.188359 root_mean_prior_squared_error 0.188241 root_mean_prior_squared_error 0.188191 root_mean_prior_squared_error 0.188223 root_mean_prior_squared_error 0.188168 root_mean_prior_squared_error 0.188276 root_mean_prior_squared_error 0.188202 root_mean_prior_squared_error 0.188192 root_mean_prior_squared_error 0.188307 root_mean_prior_squared_error 0.188237 root_mean_prior_squared_error 0.188166 root_mean_prior_squared_error 0.188241 root_mean_prior_squared_error 0.188201 root_mean_prior_squared_error 0.188281 root_mean_prior_squared_error 0.188232 root_mean_prior_squared_error 0.188264 root_mean_prior_squared_error 0.188202 root_mean_squared_error 0.175769 root_mean_squared_error 0.176016 root_mean_squared_error 0.179535 root_mean_squared_error 0.178353 root_mean_squared_error 0.176104 root_mean_squared_error 0.175999 root_mean_squared_error 0.17614 root_mean_squared_error 0.176962 root_mean_squared_error 0.175229 root_mean_squared_error 0.177201 root_mean_squared_error 0.177824 root_mean_squared_error 0.178359 root_mean_squared_error 0.178778 root_mean_squared_error 0.178752 root_mean_squared_error 0.177821 root_mean_squared_error 0.177272 root_mean_squared_error 0.17929 root_mean_squared_error 0.176982 root_mean_squared_error 0.178306 root_mean_squared_error 0.176034 root_mean_squared_error 0.177395 root_mean_squared_error 0.178894 root_mean_squared_error 0.176493 root_mean_squared_error 0.176635 root_mean_squared_error 0.177687 root_mean_squared_error 0.177469 root_mean_squared_error 0.178108 root_mean_squared_error 0.176796 root_mean_squared_error 0.176931 root_mean_squared_error 0.177934 root_mean_squared_error 0.175342 root_mean_squared_error 0.177381 root_mean_squared_error 0.176153 root_mean_squared_error 0.177963 root_mean_squared_error 0.178833 root_mean_squared_error 0.177947 root_mean_squared_error 0.179557 root_mean_squared_error 0.178041 root_mean_squared_error 0.179899 root_mean_squared_error 0.178313 root_mean_squared_error 0.179408 root_mean_squared_error 0.179282 root_mean_squared_error 0.178457 root_mean_squared_error 0.177996 root_mean_squared_error 0.176756 root_mean_squared_error 0.176937 root_mean_squared_error 0.17504 root_mean_squared_error 0.174996 root_mean_squared_error 0.176334 root_mean_squared_error 0.175891 root_mean_squared_error 0.177983 root_mean_squared_error 0.177594 root_mean_squared_error 0.176098 root_mean_squared_error 0.176972 root_mean_squared_error 0.175211 root_mean_squared_error 0.179834 root_mean_squared_error 0.178774 root_mean_squared_error 0.180653 root_mean_squared_error 0.179007 root_mean_squared_error 0.176408 root_mean_squared_error 0.178521 root_mean_squared_error 0.178331 root_mean_squared_error 0.176132 root_mean_squared_error 0.174516 root_mean_squared_error 0.177588 root_mean_squared_error 0.176774 root_mean_squared_error 0.177284 root_mean_squared_error 0.178781 root_mean_squared_error 0.175508 root_mean_squared_error 0.181075 root_mean_squared_error 0.178014 root_mean_squared_error 0.177135 root_mean_squared_error 0.176079 root_mean_squared_error 0.17749 root_mean_squared_error 0.179004 root_mean_squared_error 0.177679 root_mean_squared_error 0.176323 root_mean_squared_error 0.176885 root_mean_squared_error 0.177606 root_mean_squared_error 0.178228 root_mean_squared_error 0.176623 root_mean_squared_error 0.175878 root_mean_squared_error 0.179105 root_mean_squared_error 0.178357 root_mean_squared_error 0.177795 root_mean_squared_error 0.175239 root_mean_squared_error 0.177178 root_mean_squared_error 0.176557 root_mean_squared_error 0.17718 root_mean_squared_error 0.176724 root_mean_squared_error 0.176393 root_mean_squared_error 0.174434 root_mean_squared_error 0.17655 root_mean_squared_error 0.176308 root_mean_squared_error 0.176488 root_mean_squared_error 0.178214 root_mean_squared_error 0.175595 root_mean_squared_error 0.176734 root_mean_squared_error 0.177334 root_mean_squared_error 0.175534 root_relative_squared_error 0.933113 root_relative_squared_error 0.9357 root_relative_squared_error 0.9534 root_relative_squared_error 0.946673 root_relative_squared_error 0.936251 root_relative_squared_error 0.934565 root_relative_squared_error 0.935202 root_relative_squared_error 0.940422 root_relative_squared_error 0.9314 root_relative_squared_error 0.9412 root_relative_squared_error 0.943958 root_relative_squared_error 0.946829 root_relative_squared_error 0.94949 root_relative_squared_error 0.949413 root_relative_squared_error 0.944274 root_relative_squared_error 0.941299 root_relative_squared_error 0.951597 root_relative_squared_error 0.939243 root_relative_squared_error 0.946576 root_relative_squared_error 0.934971 root_relative_squared_error 0.941679 root_relative_squared_error 0.95016 root_relative_squared_error 0.937092 root_relative_squared_error 0.938168 root_relative_squared_error 0.943364 root_relative_squared_error 0.942278 root_relative_squared_error 0.94551 root_relative_squared_error 0.938279 root_relative_squared_error 0.939763 root_relative_squared_error 0.944748 root_relative_squared_error 0.93065 root_relative_squared_error 0.941591 root_relative_squared_error 0.935334 root_relative_squared_error 0.945221 root_relative_squared_error 0.949447 root_relative_squared_error 0.944723 root_relative_squared_error 0.953247 root_relative_squared_error 0.945263 root_relative_squared_error 0.955585 root_relative_squared_error 0.946457 root_relative_squared_error 0.952426 root_relative_squared_error 0.95196 root_relative_squared_error 0.947163 root_relative_squared_error 0.945307 root_relative_squared_error 0.938192 root_relative_squared_error 0.940395 root_relative_squared_error 0.93102 root_relative_squared_error 0.929183 root_relative_squared_error 0.936543 root_relative_squared_error 0.93382 root_relative_squared_error 0.944864 root_relative_squared_error 0.942994 root_relative_squared_error 0.934643 root_relative_squared_error 0.939888 root_relative_squared_error 0.930261 root_relative_squared_error 0.954645 root_relative_squared_error 0.949199 root_relative_squared_error 0.959221 root_relative_squared_error 0.950143 root_relative_squared_error 0.937468 root_relative_squared_error 0.947845 root_relative_squared_error 0.946816 root_relative_squared_error 0.936012 root_relative_squared_error 0.926843 root_relative_squared_error 0.942839 root_relative_squared_error 0.938329 root_relative_squared_error 0.941218 root_relative_squared_error 0.949277 root_relative_squared_error 0.931568 root_relative_squared_error 0.961159 root_relative_squared_error 0.947263 root_relative_squared_error 0.941053 root_relative_squared_error 0.93555 root_relative_squared_error 0.942611 root_relative_squared_error 0.951031 root_relative_squared_error 0.943779 root_relative_squared_error 0.936777 root_relative_squared_error 0.940158 root_relative_squared_error 0.943372 root_relative_squared_error 0.946477 root_relative_squared_error 0.938563 root_relative_squared_error 0.934372 root_relative_squared_error 0.951625 root_relative_squared_error 0.946901 root_relative_squared_error 0.944502 root_relative_squared_error 0.931179 root_relative_squared_error 0.94132 root_relative_squared_error 0.938296 root_relative_squared_error 0.941067 root_relative_squared_error 0.939012 root_relative_squared_error 0.9373 root_relative_squared_error 0.926332 root_relative_squared_error 0.937912 root_relative_squared_error 0.936984 root_relative_squared_error 0.937561 root_relative_squared_error 0.946933 root_relative_squared_error 0.932619 root_relative_squared_error 0.938914 root_relative_squared_error 0.941945 root_relative_squared_error 0.932686 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 2720 usercpu_time_millis 2340 usercpu_time_millis 2320 usercpu_time_millis 2330 usercpu_time_millis 2310 usercpu_time_millis 2310 usercpu_time_millis 2320 usercpu_time_millis 2320 usercpu_time_millis 2350 usercpu_time_millis 2350 usercpu_time_millis 2790 usercpu_time_millis 2340 usercpu_time_millis 2310 usercpu_time_millis 2330 usercpu_time_millis 2340 usercpu_time_millis 2320 usercpu_time_millis 2320 usercpu_time_millis 2320 usercpu_time_millis 2330 usercpu_time_millis 2330 usercpu_time_millis 2390 usercpu_time_millis 2340 usercpu_time_millis 2310 usercpu_time_millis 2310 usercpu_time_millis 2310 usercpu_time_millis 2320 usercpu_time_millis 2320 usercpu_time_millis 2320 usercpu_time_millis 2330 usercpu_time_millis 2350 usercpu_time_millis 2320 usercpu_time_millis 2320 usercpu_time_millis 2340 usercpu_time_millis 2310 usercpu_time_millis 2310 usercpu_time_millis 2330 usercpu_time_millis 2320 usercpu_time_millis 2330 usercpu_time_millis 2330 usercpu_time_millis 2380 usercpu_time_millis 2330 usercpu_time_millis 2330 usercpu_time_millis 2310 usercpu_time_millis 2330 usercpu_time_millis 2320 usercpu_time_millis 2320 usercpu_time_millis 2310 usercpu_time_millis 2330 usercpu_time_millis 2330 usercpu_time_millis 2320 usercpu_time_millis 2310 usercpu_time_millis 2330 usercpu_time_millis 2310 usercpu_time_millis 2330 usercpu_time_millis 2330 usercpu_time_millis 2310 usercpu_time_millis 2320 usercpu_time_millis 2320 usercpu_time_millis 2330 usercpu_time_millis 2380 usercpu_time_millis 2330 usercpu_time_millis 2320 usercpu_time_millis 2320 usercpu_time_millis 2310 usercpu_time_millis 2320 usercpu_time_millis 2310 usercpu_time_millis 2320 usercpu_time_millis 2320 usercpu_time_millis 2350 usercpu_time_millis 2360 usercpu_time_millis 2320 usercpu_time_millis 2310 usercpu_time_millis 2320 usercpu_time_millis 2320 usercpu_time_millis 2310 usercpu_time_millis 2350 usercpu_time_millis 2380 usercpu_time_millis 2330 usercpu_time_millis 2360 usercpu_time_millis 2380 usercpu_time_millis 2320 usercpu_time_millis 2330 usercpu_time_millis 2330 usercpu_time_millis 2320 usercpu_time_millis 2310 usercpu_time_millis 2340 usercpu_time_millis 2330 usercpu_time_millis 2310 usercpu_time_millis 2360 usercpu_time_millis 2320 usercpu_time_millis 2320 usercpu_time_millis 2320 usercpu_time_millis 2310 usercpu_time_millis 2330 usercpu_time_millis 2320 usercpu_time_millis 2320 usercpu_time_millis 2310 usercpu_time_millis 2360 usercpu_time_millis 2370 usercpu_time_millis 2370 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 2720 usercpu_time_millis_training 2340 usercpu_time_millis_training 2320 usercpu_time_millis_training 2330 usercpu_time_millis_training 2310 usercpu_time_millis_training 2310 usercpu_time_millis_training 2320 usercpu_time_millis_training 2320 usercpu_time_millis_training 2350 usercpu_time_millis_training 2350 usercpu_time_millis_training 2790 usercpu_time_millis_training 2340 usercpu_time_millis_training 2310 usercpu_time_millis_training 2330 usercpu_time_millis_training 2340 usercpu_time_millis_training 2320 usercpu_time_millis_training 2320 usercpu_time_millis_training 2320 usercpu_time_millis_training 2330 usercpu_time_millis_training 2330 usercpu_time_millis_training 2390 usercpu_time_millis_training 2340 usercpu_time_millis_training 2310 usercpu_time_millis_training 2310 usercpu_time_millis_training 2310 usercpu_time_millis_training 2320 usercpu_time_millis_training 2320 usercpu_time_millis_training 2320 usercpu_time_millis_training 2330 usercpu_time_millis_training 2350 usercpu_time_millis_training 2320 usercpu_time_millis_training 2320 usercpu_time_millis_training 2340 usercpu_time_millis_training 2310 usercpu_time_millis_training 2310 usercpu_time_millis_training 2330 usercpu_time_millis_training 2320 usercpu_time_millis_training 2330 usercpu_time_millis_training 2330 usercpu_time_millis_training 2380 usercpu_time_millis_training 2330 usercpu_time_millis_training 2330 usercpu_time_millis_training 2310 usercpu_time_millis_training 2330 usercpu_time_millis_training 2320 usercpu_time_millis_training 2320 usercpu_time_millis_training 2310 usercpu_time_millis_training 2330 usercpu_time_millis_training 2330 usercpu_time_millis_training 2320 usercpu_time_millis_training 2310 usercpu_time_millis_training 2330 usercpu_time_millis_training 2310 usercpu_time_millis_training 2330 usercpu_time_millis_training 2330 usercpu_time_millis_training 2310 usercpu_time_millis_training 2320 usercpu_time_millis_training 2320 usercpu_time_millis_training 2330 usercpu_time_millis_training 2380 usercpu_time_millis_training 2330 usercpu_time_millis_training 2320 usercpu_time_millis_training 2320 usercpu_time_millis_training 2310 usercpu_time_millis_training 2320 usercpu_time_millis_training 2310 usercpu_time_millis_training 2320 usercpu_time_millis_training 2320 usercpu_time_millis_training 2350 usercpu_time_millis_training 2360 usercpu_time_millis_training 2320 usercpu_time_millis_training 2310 usercpu_time_millis_training 2320 usercpu_time_millis_training 2320 usercpu_time_millis_training 2310 usercpu_time_millis_training 2350 usercpu_time_millis_training 2380 usercpu_time_millis_training 2330 usercpu_time_millis_training 2360 usercpu_time_millis_training 2380 usercpu_time_millis_training 2320 usercpu_time_millis_training 2330 usercpu_time_millis_training 2330 usercpu_time_millis_training 2320 usercpu_time_millis_training 2310 usercpu_time_millis_training 2340 usercpu_time_millis_training 2330 usercpu_time_millis_training 2310 usercpu_time_millis_training 2360 usercpu_time_millis_training 2320 usercpu_time_millis_training 2320 usercpu_time_millis_training 2320 usercpu_time_millis_training 2310 usercpu_time_millis_training 2330 usercpu_time_millis_training 2320 usercpu_time_millis_training 2320 usercpu_time_millis_training 2300 usercpu_time_millis_training 2360 usercpu_time_millis_training 2370 usercpu_time_millis_training 2370