331413 2 Joaquin Vanschoren 1889 Supervised Classification predictive_accuracy 1080 weka.NBTree(3) 1850 weka.classifiers.trees.NBTree weka weka_3.7.12 9 autos https://www.openml.org/data/download/9/dataset_9_autos.arff -1 1133926 description https://api.openml.org/data/download/1133926/weka_generated_run7912848722593722484.xml -1 1133929 model_readable https://api.openml.org/data/download/1133929/WekaModel_weka.classifiers.trees.NBTree4001190635441663001.model -1 1133928 model_serialized https://api.openml.org/data/download/1133928/WekaSerialized_weka.classifiers.trees.NBTree5690825977215159162.model -1 1133927 predictions https://api.openml.org/data/download/1133927/weka_generated_predictions6396797302748314877.arff area_under_roc_curve 0.92277 [0.0,0.972492,0.924642,0.94072,0.883725,0.916068,0.957213] average_cost 0 f_measure 0.753282 [0,0.064516,0.747863,0.832263,0.710988,0.72093,0.761165] kappa 0.685012 kb_relative_information_score 1411.327648 mean_absolute_error 0.072903 mean_prior_absolute_error 0.220919 number_of_instances 2050 [0,30,220,670,540,320,270] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.763271 [0,1,0.705645,0.797538,0.709024,0.769504,0.8] predictive_accuracy 0.759512 prior_entropy 2.326811 recall 0.759512 [0,0.033333,0.795455,0.870149,0.712963,0.678125,0.725926] relative_absolute_error 0.329999 root_mean_prior_squared_error 0.331758 root_mean_squared_error 0.243528 root_relative_squared_error 0.734054 scimark_benchmark 1330.385206 [813.9246558745155, 942.7373251037432, 538.6214331989047, 1116.4565351932417, 3240.186079004089] total_cost 0 usercpu_time_millis 460 usercpu_time_millis_testing 30 usercpu_time_millis_training 430 area_under_roc_curve 0.908825 [0.0,0.0,0.833333,0.938776,0.825,1,0.962963] area_under_roc_curve 0.964351 [0.0,1,0.973684,0.989796,0.922222,1,0.921053] area_under_roc_curve 0.88501 [0.0,0.0,0.947368,0.908163,0.833333,0.944444,0.833333] area_under_roc_curve 0.980489 [0.0,0.0,1,1,0.9625,0.925926,1] area_under_roc_curve 0.97535 [0.0,0.0,1,1,0.933333,0.970588,1] area_under_roc_curve 0.966667 [0.0,0.0,1,0.928571,0.966667,1,1] area_under_roc_curve 0.935728 [0.0,0.0,1,1,0.811111,0.962963,0.947368] area_under_roc_curve 0.890135 [0.0,0.0,0.947368,0.969388,0.833333,0.779412,0.947368] area_under_roc_curve 0.974544 [0.0,0.0,0.868421,0.989796,0.966667,1,1] area_under_roc_curve 0.839519 [0.0,0.0,0.973684,0.938776,0.777778,0.481481,1] area_under_roc_curve 0.926835 [0.0,0.0,0.921053,0.938776,0.938889,0.916667,0.888889] area_under_roc_curve 0.890086 [0.0,1,0.973684,0.922222,0.766667,0.962963,0.907407] area_under_roc_curve 0.93356 [0.0,0.0,1,0.938776,0.866667,0.981481,0.962963] area_under_roc_curve 0.958451 [0.0,0.0,0.962963,0.959184,0.94375,0.990741,0.944444] area_under_roc_curve 0.882881 [0.0,0.0,0.907407,0.989796,0.825,0.691176,1] area_under_roc_curve 0.877778 [0.0,0.0,1,1,0.822222,0.611111,0.888889] area_under_roc_curve 0.919103 [0.0,0.0,0.962963,0.955556,0.85,1,0.789474] area_under_roc_curve 0.895677 [0.0,0.0,0.592105,0.928571,0.825,1,1] area_under_roc_curve 0.904637 [0.0,0.0,1,0.911111,0.872222,0.838235,0.981481] area_under_roc_curve 0.867152 [0.0,0.0,0.736842,0.959184,0.911111,0.518519,1] area_under_roc_curve 0.95548 [0.0,1,1,0.94898,0.922222,0.962963,1] area_under_roc_curve 0.97633 [0.0,1,0.973684,1,0.944444,1,0.962963] area_under_roc_curve 0.97444 [0.0,1,0.973684,0.938776,1,0.981481,1] area_under_roc_curve 0.945342 [0.0,1,1,0.989796,0.8625,0.87037,1] area_under_roc_curve 0.936642 [0.0,1,0.740741,0.969388,0.975,0.981481,0.921053] area_under_roc_curve 0.877635 [0.0,1,0.842105,0.918367,0.8,0.944444,0.842105] area_under_roc_curve 0.974603 [0.0,1,1,0.933333,0.977778,1,1] area_under_roc_curve 0.909672 [0.0,1,0.973684,0.979592,0.8875,0.657407,0.962963] area_under_roc_curve 0.997354 [0.0,1,1,1,1,1,0.981481] area_under_roc_curve 0.929419 [0.0,1,1,0.959184,0.844444,1,0.868421] area_under_roc_curve 0.879075 [0.0,0.95,0.973684,0.969388,0.922222,0.712963,0.552632] area_under_roc_curve 0.845218 [0.0,0.0,0.842105,0.966667,0.7,0.794118,0.962963] area_under_roc_curve 0.922304 [0.0,0.95,0.868421,0.969388,0.8125,0.944444,1] area_under_roc_curve 0.946263 [0.0,1,1,1,0.81875,1,0.925926] area_under_roc_curve 0.911848 [0.0,1,1,0.979592,0.875,0.638889,1] area_under_roc_curve 0.846829 [0.0,0.9,0.925926,0.857143,0.7375,0.981481,0.736842] area_under_roc_curve 0.939696 [0.0,0.95,0.947368,1,0.833333,1,0.962963] area_under_roc_curve 0.903747 [0.0,1,0.763158,0.897959,0.9,0.907407,0.981481] area_under_roc_curve 0.850571 [0.0,1,0.842105,0.822222,0.8,0.814815,1] area_under_roc_curve 1 [0.0,1,1,1,1,1,1] area_under_roc_curve 0.88612 [0.0,1,1,0.897959,0.755556,1,0.894737] area_under_roc_curve 0.937831 [0.0,0.0,1,0.928571,0.85,1,0.981481] area_under_roc_curve 0.9375 [0.0,1,0.962963,0.928571,0.9875,0.787037,1] area_under_roc_curve 0.96721 [0.0,0.95,0.947368,0.983333,0.927778,1,1] area_under_roc_curve 0.982738 [0.0,0.95,1,1,0.9375,1,1] area_under_roc_curve 0.925501 [0.0,1,0.731481,0.989796,0.8625,1,1] area_under_roc_curve 0.954345 [0.0,1,0.789474,0.94898,0.975,0.981481,1] area_under_roc_curve 0.947644 [0.0,1,0.868421,0.94898,0.9375,0.944444,1] area_under_roc_curve 0.951058 [0.0,1,1,1,0.95,0.740741,1] area_under_roc_curve 0.840915 [0.0,0.9,0.894737,0.790816,0.9125,0.757353,0.921053] area_under_roc_curve 0.918577 [0.0,0.0,0.777778,0.912088,0.933333,0.960784,0.960784] area_under_roc_curve 0.977949 [0.0,0.0,1,0.956044,0.973333,1,1] area_under_roc_curve 0.947436 [0.0,0.0,1,0.945055,0.866667,1,1] area_under_roc_curve 0.827521 [0.0,0.0,0.75,0.797619,0.75,0.941176,0.980392] area_under_roc_curve 0.904477 [0.0,0.0,0.972222,1,0.746667,0.803922,1] area_under_roc_curve 0.940543 [0.0,0.0,1,0.978022,0.94,0.911765,0.843137] area_under_roc_curve 0.986667 [0.0,0.0,1,1,0.946667,1,1] area_under_roc_curve 0.932368 [0.0,0.0,1,0.912088,0.946667,0.960784,0.882353] area_under_roc_curve 0.891724 [0.0,0.0,0.972222,0.901099,0.94,0.921569,0.705882] area_under_roc_curve 0.886287 [0.0,0.0,0.5,1,0.84,0.984375,0.862745] area_under_roc_curve 0.878673 [0.0,0.0,1,0.879121,0.813333,0.862745,0.921569] area_under_roc_curve 0.990784 [0.0,0.0,1,1,0.986667,1,0.960784] area_under_roc_curve 0.971699 [0.0,0.0,1,0.956044,0.973333,0.96875,1] area_under_roc_curve 0.950584 [0.0,0.0,0.972222,0.97619,0.97619,0.784314,1] area_under_roc_curve 0.959276 [0.0,0.0,1,0.934066,1,1,0.882353] area_under_roc_curve 0.941403 [0.0,0.0,1,0.967033,1,0.686275,1] area_under_roc_curve 0.87322 [0.0,0.0,1,0.945055,0.793333,0.72549,0.901961] area_under_roc_curve 0.9581 [0.0,0.0,1,0.934066,0.96,0.941176,1] area_under_roc_curve 0.966111 [0.0,0.0,0.861111,1,0.92,1,1] area_under_roc_curve 0.949832 [0.0,0.0,1,0.952381,0.88,1,0.960784] area_under_roc_curve 0.991667 [0.0,0.0,0.916667,1,1,1,1] area_under_roc_curve 0.863947 [0.0,0.0,0.944444,0.758242,0.84,0.980392,0.980392] area_under_roc_curve 0.977024 [0.0,0.0,1,0.97619,0.986667,0.9375,1] area_under_roc_curve 0.855805 [0.0,0.0,1,0.824176,0.821429,0.843137,0.944444] area_under_roc_curve 0.816176 [0.0,0.0,1,0.75,0.666667,0.941176,1] area_under_roc_curve 0.935993 [0.0,0.0,1,1,0.78,0.984375,0.960784] area_under_roc_curve 0.84456 [0.0,0.0,0.722222,0.945055,0.813333,0.607843,0.980392] area_under_roc_curve 0.878571 [0.0,0.0,1,0.880952,0.714286,1,1] area_under_roc_curve 0.879839 [0.0,0.0,0.555556,0.89011,0.933333,0.882353,0.980392] area_under_roc_curve 0.93584 [0.0,0.0,1,0.988095,0.84,0.960784,0.901961] area_under_roc_curve 0.931161 [0.0,0.0,1,0.964286,0.88,0.859375,1] area_under_roc_curve 0.981569 [0.0,0.0,1,1,0.973333,0.921569,1] area_under_roc_curve 0.881781 [0.0,0.0,0.597222,1,0.833333,1,0.813725] area_under_roc_curve 0.961923 [0.0,0.0,1,0.934066,0.94,1,1] area_under_roc_curve 0.985458 [0.0,0.0,0.972222,1,1,0.960784,0.960784] area_under_roc_curve 0.905944 [0.0,0.0,1,0.833333,0.933333,0.921875,0.921569] area_under_roc_curve 0.961086 [0.0,0.0,1,0.956044,1,0.843137,1] area_under_roc_curve 0.973319 [0.0,0.0,0.941176,1,0.940476,1,1] area_under_roc_curve 0.912051 [0.0,0.0,1,0.901099,0.786667,1,1] area_under_roc_curve 0.982821 [0.0,0.0,1,0.989011,0.946667,1,1] area_under_roc_curve 0.908361 [0.0,0.0,1,0.869048,0.92,0.784314,1] area_under_roc_curve 0.916938 [0.0,0.0,0.627451,0.989011,0.906667,1,1] area_under_roc_curve 0.899276 [0.0,0.0,0.944444,1,0.869048,0.627451,1] area_under_roc_curve 0.856191 [0.0,0.0,0.694444,0.89011,0.746667,0.984375,0.916667] area_under_roc_curve 0.904365 [0.0,0.0,0.972222,0.845238,0.845238,1,1] area_under_roc_curve 0.933929 [0.0,0.0,1,0.892857,0.886905,1,1] area_under_roc_curve 0.968341 [0.0,0.0,1,0.956044,0.946667,0.980392,1] area_under_roc_curve 0.947059 [0.0,0.0,1,0.869048,0.964286,0.980392,1] area_under_roc_curve 0.993725 [0.0,0.0,1,1,0.986667,0.980392,1] area_under_roc_curve 0.92817 [0.0,0.0,0.777778,1,0.813333,1,0.980392] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.698319 [0,0,0.5,0.823529,0.6,0.8,0.666667] f_measure 0.663625 [0,0,0.8,0.823529,0.444444,0.857143,0.666667] f_measure 0.581319 [0,0,0.4,0.615385,0.6,0.5,0.666667] f_measure 0.85941 [0,0,1,1,0.666667,0.571429,1] f_measure 0.755404 [0,0,0.666667,0.777778,0.8,0.571429,1] f_measure 0.746259 [0,0,0.8,0.769231,0.769231,0.857143,0.5] f_measure 0.687208 [0,0,1,0.823529,0.444444,0.666667,0.5] f_measure 0.666841 [0,0,0.5,0.769231,0.666667,0.571429,0.666667] f_measure 0.898413 [0,0,0.666667,0.933333,0.833333,1,1] f_measure 0.708844 [0,0,0.8,0.857143,0.714286,0,1] f_measure 0.660492 [0,0,0.5,0.769231,0.714286,0.4,0.666667] f_measure 0.54898 [0,0,0.8,0.75,0.285714,0.666667,0.571429] f_measure 0.751701 [0,0,1,0.857143,0.714286,0.666667,0.5] f_measure 0.809895 [0,0,0.857143,0.857143,0.727273,0.8,0.8] f_measure 0.758442 [0,0,0.8,0.933333,0.545455,0.666667,0.8] f_measure 0.678571 [0,0,1,1,0.625,0,0.5] f_measure 0.74878 [0,0,0.571429,0.833333,0.909091,0.888889,0] f_measure 0.812698 [0,0,0.666667,0.857143,0.666667,1,0.8] f_measure 0.759184 [0,0,1,0.714286,0.8,0.571429,0.857143] f_measure 0.700639 [0,0,0.666667,0.823529,0.769231,0,1] f_measure 0.745238 [0,0,0.8,0.75,0.8,0.666667,1] f_measure 0.785814 [0,0,0.8,0.923077,0.727273,1,0.666667] f_measure 0.807029 [0,0,0.571429,0.833333,1,0.857143,0.8] f_measure 0.643084 [0,0,0.8,0.857143,0.666667,0,0.857143] f_measure 0.654762 [0,0,0.5,0.666667,0.8,0.75,0.666667] f_measure 0.554823 [0,0,0.5,0.769231,0.444444,0.6,0.4] f_measure 0.885381 [0,0,0.8,0.909091,0.923077,1,1] f_measure 0.731746 [0,0,0.8,0.933333,0.666667,0.5,0.8] f_measure 0.827228 [0,0,0.666667,1,0.923077,1,0.5] f_measure 0.793651 [0,0,0.666667,0.857143,0.833333,1,0.666667] f_measure 0.671184 [0,0,0.666667,0.923077,0.8,0.5,0] f_measure 0.761556 [0,0,0.666667,0.923077,0.615385,0.857143,0.666667] f_measure 0.746032 [0,0,0.5,0.933333,0.666667,0.8,0.8] f_measure 0.790476 [0,0,0.8,1,0.75,0.75,0.666667] f_measure 0.671176 [0,0,0.666667,0.875,0.727273,0.5,0.5] f_measure 0.496241 [0,0,0.333333,0.631579,0.5,0.5,0.5] f_measure 0.520728 [0,0,0.4,0.705882,0.25,0.8,0.666667] f_measure 0.570428 [0,0,0,0.823529,0.5,0.571429,0.666667] f_measure 0.552241 [0,1,0.666667,0.615385,0.5,0,0.857143] f_measure 0.933333 [0,0,0.8,1,1,1,1] f_measure 0.729762 [0,0,0.8,0.875,0.6,1,0.5] f_measure 0.817234 [0,0,0.666667,0.857143,0.8,0.857143,0.8] f_measure 0.794974 [0,0,0.75,0.857143,0.888889,0.8,0.8] f_measure 0.885381 [0,0,0.8,0.923077,0.909091,1,1] f_measure 0.726732 [0,0,0.8,0.875,0.727273,0.8,0.5] f_measure 0.78373 [0,0,0.666667,0.875,0.666667,1,1] f_measure 0.797629 [0,0,0.4,0.833333,0.909091,0.857143,1] f_measure 0.744589 [0,0,0.5,0.8,0.727273,0.8,1] f_measure 0.796825 [0,0,0.666667,0.833333,0.833333,0.8,1] f_measure 0.605669 [0,0,0.4,0.666667,0.833333,0.571429,0.4] f_measure 0.759744 [0,0,0.5,0.923077,0.666667,0.666667,0.8] f_measure 0.853974 [0,0,1,0.833333,0.769231,1,0.8] f_measure 0.668333 [0,0,0.8,0.7,0.333333,0.8,1] f_measure 0.611429 [0,0,0.4,0.571429,0.6,0.666667,0.8] f_measure 0.724524 [0,0,0.8,0.933333,0.571429,0.5,0.666667] f_measure 0.752567 [0,0,1,0.727273,0.769231,0.571429,0.8] f_measure 0.892738 [0,0,1,0.933333,0.75,1,0.857143] f_measure 0.643549 [0,0,0.8,0.769231,0.727273,0.75,0] f_measure 0.608485 [0,0,0.666667,0.857143,0.727273,0.4,0] f_measure 0.664141 [0,0,0,1,0.545455,0.888889,0.333333] f_measure 0.662857 [0,0,1,0.666667,0.666667,0.285714,0.8] f_measure 0.855714 [0,0,1,1,0.8,0.8,0.571429] f_measure 0.841667 [0,0,1,0.857143,0.833333,0.666667,1] f_measure 0.793497 [0,0,0.8,0.769231,0.909091,0.4,1] f_measure 0.853974 [0,0,1,0.833333,0.769231,1,0.8] f_measure 0.833333 [0,0,1,0.857143,0.833333,0.5,1] f_measure 0.74303 [0,0,1,0.933333,0.545455,0.8,0.4] f_measure 0.851648 [0,0,0.8,0.923077,0.8,0.8,0.857143] f_measure 0.895238 [0,0,0.666667,1,0.8,0.857143,1] f_measure 0.84359 [0,0,1,0.923077,0.666667,1,0.666667] f_measure 0.943939 [0,0,0.666667,1,0.909091,1,1] f_measure 0.53515 [0,0,0.5,0.461538,0.444444,0.75,0.666667] f_measure 0.843651 [0,0,1,0.857143,0.888889,0.571429,1] f_measure 0.693725 [0,0,1,0.705882,0.6,0.666667,0.666667] f_measure 0.545974 [0,0,1,0.571429,0.181818,0.666667,0.8] f_measure 0.790476 [0,0,0.666667,0.857143,0.666667,0.857143,0.857143] f_measure 0.606667 [0,0,0.4,0.857143,0.666667,0,0.666667] f_measure 0.793269 [0,0,1,0.769231,0.666667,1,0.75] f_measure 0.666667 [0,0,0.666667,0.833333,0.666667,0.444444,0.5] f_measure 0.631111 [0,0,0.8,0.75,0.444444,0.666667,0.5] f_measure 0.588095 [0,0,0.666667,0.714286,0.4,0.285714,1] f_measure 0.83125 [0,0,1,0.875,0.8,0.5,1] f_measure 0.746667 [0,0,0.666667,1,0.666667,0.8,0.4] f_measure 0.903077 [0,0,1,0.923077,0.8,1,0.8] f_measure 0.828846 [0,0,0.8,0.923077,0.923077,0.8,0.5] f_measure 0.7 [0,0,0.8,0.666667,0.666667,0.666667,0.8] f_measure 0.896667 [0,0,1,0.933333,1,0.666667,0.8] f_measure 0.9 [0,0,0.8,1,0.833333,1,0.8] f_measure 0.846071 [0,0,0.857143,0.8,0.75,1,1] f_measure 0.902442 [0,0,1,0.923077,0.888889,0.857143,0.857143] f_measure 0.688187 [0,0,0.857143,0.615385,0.6,0.5,1] f_measure 0.78539 [0,0,0.5,0.857143,0.727273,0.857143,1] f_measure 0.617965 [0,0,0.666667,0.909091,0.5,0,0.857143] f_measure 0.699697 [0,0,0.666667,0.8,0.545455,0.75,0.666667] f_measure 0.791991 [0,0,0.666667,0.833333,0.727273,0.857143,0.857143] f_measure 0.850769 [0,0,1,0.769231,0.833333,0.8,1] f_measure 0.784722 [0,0,1,0.777778,0.75,0.5,1] f_measure 0.793799 [0,0,0.857143,0.6,0.909091,0.75,1] f_measure 0.9 [0,0,1,1,0.8,0.8,0.8] f_measure 0.679902 [0,0,0.666667,0.823529,0.6,0.5,0.666667] kappa 0.615854 kappa 0.621622 kappa 0.452174 kappa 0.815789 kappa 0.673913 kappa 0.6875 kappa 0.619335 kappa 0.550459 kappa 0.87156 kappa 0.680851 kappa 0.557229 kappa 0.517241 kappa 0.679878 kappa 0.751479 kappa 0.686567 kappa 0.608696 kappa 0.692082 kappa 0.747748 kappa 0.692082 kappa 0.669811 kappa 0.686567 kappa 0.756522 kappa 0.76204 kappa 0.628319 kappa 0.578797 kappa 0.46 kappa 0.877551 kappa 0.686567 kappa 0.816327 kappa 0.750742 kappa 0.620482 kappa 0.685629 kappa 0.685629 kappa 0.757925 kappa 0.622754 kappa 0.355828 kappa 0.447368 kappa 0.495495 kappa 0.447368 kappa 0.937685 kappa 0.686567 kappa 0.753666 kappa 0.756522 kappa 0.878261 kappa 0.684685 kappa 0.75 kappa 0.759312 kappa 0.6875 kappa 0.758621 kappa 0.51585 kappa 0.671053 kappa 0.803922 kappa 0.583333 kappa 0.478827 kappa 0.674267 kappa 0.677419 kappa 0.868421 kappa 0.609121 kappa 0.539474 kappa 0.606557 kappa 0.536424 kappa 0.802632 kappa 0.8 kappa 0.739414 kappa 0.803922 kappa 0.8 kappa 0.66443 kappa 0.805825 kappa 0.867987 kappa 0.807074 kappa 0.934853 kappa 0.419355 kappa 0.80456 kappa 0.587629 kappa 0.405941 kappa 0.738562 kappa 0.534884 kappa 0.74359 kappa 0.543974 kappa 0.536424 kappa 0.473684 kappa 0.797297 kappa 0.662162 kappa 0.869707 kappa 0.800664 kappa 0.615385 kappa 0.866667 kappa 0.869707 kappa 0.802632 kappa 0.870968 kappa 0.61165 kappa 0.735099 kappa 0.549839 kappa 0.591837 kappa 0.74026 kappa 0.80198 kappa 0.726027 kappa 0.746032 kappa 0.868852 kappa 0.587629 kb_relative_information_score 12.784091 kb_relative_information_score 14.247786 kb_relative_information_score 11.206206 kb_relative_information_score 17.210227 kb_relative_information_score 13.699611 kb_relative_information_score 14.728715 kb_relative_information_score 13.090581 kb_relative_information_score 11.704095 kb_relative_information_score 17.333407 kb_relative_information_score 13.693166 kb_relative_information_score 11.878659 kb_relative_information_score 12.802747 kb_relative_information_score 14.056023 kb_relative_information_score 15.181523 kb_relative_information_score 13.90584 kb_relative_information_score 11.864355 kb_relative_information_score 13.731973 kb_relative_information_score 14.765305 kb_relative_information_score 13.995293 kb_relative_information_score 13.447057 kb_relative_information_score 15.237049 kb_relative_information_score 15.671707 kb_relative_information_score 17.547188 kb_relative_information_score 14.851589 kb_relative_information_score 13.647592 kb_relative_information_score 11.168394 kb_relative_information_score 18.385796 kb_relative_information_score 13.76256 kb_relative_information_score 17.458149 kb_relative_information_score 16.65873 kb_relative_information_score 12.879907 kb_relative_information_score 13.491769 kb_relative_information_score 13.715439 kb_relative_information_score 16.987701 kb_relative_information_score 14.238168 kb_relative_information_score 9.547314 kb_relative_information_score 11.9988 kb_relative_information_score 11.156898 kb_relative_information_score 11.353044 kb_relative_information_score 18.210758 kb_relative_information_score 14.815435 kb_relative_information_score 15.323711 kb_relative_information_score 16.887679 kb_relative_information_score 18.080464 kb_relative_information_score 15.79331 kb_relative_information_score 16.355524 kb_relative_information_score 16.715664 kb_relative_information_score 15.414176 kb_relative_information_score 16.623869 kb_relative_information_score 10.761648 kb_relative_information_score 12.892623 kb_relative_information_score 15.78188 kb_relative_information_score 12.391454 kb_relative_information_score 10.035708 kb_relative_information_score 12.65669 kb_relative_information_score 13.606608 kb_relative_information_score 16.83355 kb_relative_information_score 11.829488 kb_relative_information_score 10.541719 kb_relative_information_score 11.800592 kb_relative_information_score 10.788244 kb_relative_information_score 16.155985 kb_relative_information_score 14.948985 kb_relative_information_score 14.32877 kb_relative_information_score 15.141904 kb_relative_information_score 14.806116 kb_relative_information_score 12.801036 kb_relative_information_score 15.56045 kb_relative_information_score 16.097322 kb_relative_information_score 15.654688 kb_relative_information_score 17.913928 kb_relative_information_score 9.82493 kb_relative_information_score 15.600502 kb_relative_information_score 11.429733 kb_relative_information_score 10.25275 kb_relative_information_score 14.740824 kb_relative_information_score 11.287206 kb_relative_information_score 14.92651 kb_relative_information_score 11.473127 kb_relative_information_score 11.71238 kb_relative_information_score 11.306431 kb_relative_information_score 15.214062 kb_relative_information_score 12.097652 kb_relative_information_score 16.845344 kb_relative_information_score 15.190247 kb_relative_information_score 12.352417 kb_relative_information_score 16.300681 kb_relative_information_score 15.717345 kb_relative_information_score 15.660878 kb_relative_information_score 16.608087 kb_relative_information_score 13.765101 kb_relative_information_score 14.294741 kb_relative_information_score 11.214985 kb_relative_information_score 11.871553 kb_relative_information_score 13.92627 kb_relative_information_score 15.708074 kb_relative_information_score 15.017518 kb_relative_information_score 15.375265 kb_relative_information_score 17.237474 kb_relative_information_score 11.741125 mean_absolute_error 0.084644 mean_absolute_error 0.083797 mean_absolute_error 0.111876 mean_absolute_error 0.043536 mean_absolute_error 0.070405 mean_absolute_error 0.0668 mean_absolute_error 0.085788 mean_absolute_error 0.094634 mean_absolute_error 0.030146 mean_absolute_error 0.077165 mean_absolute_error 0.091931 mean_absolute_error 0.107264 mean_absolute_error 0.072606 mean_absolute_error 0.067152 mean_absolute_error 0.075962 mean_absolute_error 0.091896 mean_absolute_error 0.080126 mean_absolute_error 0.068945 mean_absolute_error 0.084167 mean_absolute_error 0.073048 mean_absolute_error 0.071937 mean_absolute_error 0.057842 mean_absolute_error 0.051147 mean_absolute_error 0.07846 mean_absolute_error 0.09406 mean_absolute_error 0.121409 mean_absolute_error 0.040732 mean_absolute_error 0.075609 mean_absolute_error 0.044441 mean_absolute_error 0.056841 mean_absolute_error 0.082487 mean_absolute_error 0.081635 mean_absolute_error 0.074773 mean_absolute_error 0.060824 mean_absolute_error 0.083109 mean_absolute_error 0.135116 mean_absolute_error 0.10575 mean_absolute_error 0.113639 mean_absolute_error 0.126109 mean_absolute_error 0.022707 mean_absolute_error 0.076408 mean_absolute_error 0.061466 mean_absolute_error 0.055807 mean_absolute_error 0.029621 mean_absolute_error 0.062281 mean_absolute_error 0.066031 mean_absolute_error 0.055842 mean_absolute_error 0.069783 mean_absolute_error 0.057226 mean_absolute_error 0.110556 mean_absolute_error 0.075488 mean_absolute_error 0.05001 mean_absolute_error 0.086346 mean_absolute_error 0.118145 mean_absolute_error 0.088203 mean_absolute_error 0.072696 mean_absolute_error 0.03342 mean_absolute_error 0.091786 mean_absolute_error 0.10095 mean_absolute_error 0.088314 mean_absolute_error 0.109733 mean_absolute_error 0.038029 mean_absolute_error 0.054461 mean_absolute_error 0.065861 mean_absolute_error 0.056887 mean_absolute_error 0.057948 mean_absolute_error 0.077574 mean_absolute_error 0.048415 mean_absolute_error 0.038624 mean_absolute_error 0.056779 mean_absolute_error 0.018404 mean_absolute_error 0.123852 mean_absolute_error 0.050083 mean_absolute_error 0.096954 mean_absolute_error 0.122337 mean_absolute_error 0.058341 mean_absolute_error 0.095667 mean_absolute_error 0.065627 mean_absolute_error 0.096072 mean_absolute_error 0.095081 mean_absolute_error 0.103208 mean_absolute_error 0.051157 mean_absolute_error 0.084252 mean_absolute_error 0.032639 mean_absolute_error 0.04582 mean_absolute_error 0.094596 mean_absolute_error 0.032654 mean_absolute_error 0.049524 mean_absolute_error 0.055011 mean_absolute_error 0.038382 mean_absolute_error 0.080439 mean_absolute_error 0.058507 mean_absolute_error 0.103955 mean_absolute_error 0.08728 mean_absolute_error 0.074008 mean_absolute_error 0.049281 mean_absolute_error 0.054458 mean_absolute_error 0.059807 mean_absolute_error 0.024918 mean_absolute_error 0.085766 mean_prior_absolute_error 0.221345 mean_prior_absolute_error 0.220832 mean_prior_absolute_error 0.219291 mean_prior_absolute_error 0.221345 mean_prior_absolute_error 0.218971 mean_prior_absolute_error 0.219291 mean_prior_absolute_error 0.219612 mean_prior_absolute_error 0.218971 mean_prior_absolute_error 0.218971 mean_prior_absolute_error 0.219291 mean_prior_absolute_error 0.219291 mean_prior_absolute_error 0.223399 mean_prior_absolute_error 0.219291 mean_prior_absolute_error 0.221345 mean_prior_absolute_error 0.221024 mean_prior_absolute_error 0.219291 mean_prior_absolute_error 0.221859 mean_prior_absolute_error 0.220703 mean_prior_absolute_error 0.221538 mean_prior_absolute_error 0.219291 mean_prior_absolute_error 0.220832 mean_prior_absolute_error 0.223399 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222885 mean_prior_absolute_error 0.220832 mean_prior_absolute_error 0.223078 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.223399 mean_prior_absolute_error 0.220832 mean_prior_absolute_error 0.220832 mean_prior_absolute_error 0.221538 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222885 mean_prior_absolute_error 0.223399 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.223399 mean_prior_absolute_error 0.220832 mean_prior_absolute_error 0.220832 mean_prior_absolute_error 0.220703 mean_prior_absolute_error 0.222885 mean_prior_absolute_error 0.223399 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222885 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222244 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.220013 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.222035 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.21934 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.222709 mean_prior_absolute_error 0.222035 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.222035 mean_prior_absolute_error 0.217857 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.222035 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.222709 mean_prior_absolute_error 0.222035 mean_prior_absolute_error 0.220013 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.21934 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.222035 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.220889 mean_prior_absolute_error 0.220013 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.222709 mean_prior_absolute_error 0.220013 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.21934 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.220889 mean_prior_absolute_error 0.220013 mean_prior_absolute_error 0.219677 number_of_instances 21 [0,0,3,7,5,3,3] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,0,2,7,6,3,3] number_of_instances 21 [0,0,3,7,5,3,3] number_of_instances 21 [0,0,2,7,6,4,2] number_of_instances 21 [0,0,2,7,6,3,3] number_of_instances 21 [0,0,3,7,6,3,2] number_of_instances 21 [0,0,2,7,6,4,2] number_of_instances 21 [0,0,2,7,6,4,2] number_of_instances 21 [0,0,2,7,6,3,3] number_of_instances 21 [0,0,2,7,6,3,3] number_of_instances 21 [0,1,2,6,6,3,3] number_of_instances 21 [0,0,2,7,6,3,3] number_of_instances 21 [0,0,3,7,5,3,3] number_of_instances 21 [0,0,3,7,5,4,2] number_of_instances 21 [0,0,2,7,6,3,3] number_of_instances 21 [0,0,3,6,6,4,2] number_of_instances 21 [0,0,2,7,5,4,3] number_of_instances 21 [0,0,2,6,6,4,3] number_of_instances 21 [0,0,2,7,6,3,3] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,1,2,6,6,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,3,7,5,3,2] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,1,2,6,6,4,2] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,6,6,3,3] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,0,2,6,6,4,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,3,7,5,3,2] number_of_instances 21 [0,1,2,6,6,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,6,6,3,3] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,0,2,7,5,4,3] number_of_instances 21 [0,1,3,7,5,3,2] number_of_instances 21 [0,1,2,6,6,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,3,7,5,3,2] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,7,5,4,2] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,3,7,5,3,2] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,6,5,4,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,4,2] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,3,6,5,3,3] number_of_instances 20 [0,0,2,6,5,4,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,6,5,4,3] number_of_instances 20 [0,0,2,7,6,3,2] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,6,5,4,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,3,6,5,3,3] number_of_instances 20 [0,0,2,6,5,4,3] number_of_instances 20 [0,0,3,7,5,3,2] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,7,5,4,2] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,6,5,4,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,3,6,6,3,2] number_of_instances 20 [0,0,3,7,5,3,2] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,3,6,5,3,3] number_of_instances 20 [0,0,3,7,5,3,2] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,7,5,4,2] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,3,6,6,3,2] number_of_instances 20 [0,0,3,7,5,3,2] number_of_instances 20 [0,0,2,7,5,3,3] precision 0.757143 [0,0,1,0.7,0.6,1,0.666667] precision 0.689683 [0,0,0.666667,0.7,0.666667,0.75,1] precision 0.620635 [0,0,0.333333,0.666667,0.75,0.4,0.666667] precision 0.869048 [0,0,1,1,0.75,0.5,1] precision 0.815296 [0,0,1,0.636364,1,0.666667,1] precision 0.795351 [0,0,0.666667,0.833333,0.714286,0.75,1] precision 0.709524 [0,0,1,0.7,0.666667,0.666667,0.5] precision 0.706349 [0,0,0.5,0.833333,0.555556,0.666667,1] precision 0.910714 [0,0,1,0.875,0.833333,1,1] precision 0.670635 [0,0,0.666667,0.857143,0.625,0,1] precision 0.670635 [0,0,0.5,0.833333,0.625,0.5,0.666667] precision 0.687302 [0,0,0.666667,0.6,1,0.666667,0.5] precision 0.797619 [0,0,1,0.857143,0.625,0.666667,1] precision 0.837302 [0,0,0.75,0.857143,0.666667,1,1] precision 0.80754 [0,0,1,0.875,0.5,1,0.666667] precision 0.714286 [0,0,1,1,0.5,0,1] precision 0.747619 [0,0,0.5,0.833333,1,0.8,0] precision 0.85034 [0,0,1,0.857143,0.571429,1,1] precision 0.793651 [0,0,1,0.625,1,0.666667,0.75] precision 0.67551 [0,0,1,0.7,0.714286,0,1] precision 0.761905 [0,0,0.666667,0.666667,1,0.666667,1] precision 0.775057 [0,0,0.666667,0.857143,0.8,1,0.666667] precision 0.859524 [0,0,0.4,1,1,0.75,1] precision 0.592404 [0,0,0.666667,0.857143,0.571429,0,0.75] precision 0.695238 [0,0,0.4,0.8,0.8,0.6,1] precision 0.608844 [0,0,0.5,0.833333,0.666667,0.428571,0.333333] precision 0.879819 [0,0,0.666667,1,0.857143,1,1] precision 0.776927 [0,0,0.666667,0.875,0.571429,1,1] precision 0.863946 [0,0,0.5,1,0.857143,1,1] precision 0.809524 [0,0,0.5,0.857143,0.833333,1,1] precision 0.714286 [0,0,0.5,1,0.666667,1,0] precision 0.789116 [0,0,1,0.857143,0.571429,1,0.666667] precision 0.761054 [0,0,0.5,0.875,0.571429,1,1] precision 0.815873 [0,0,0.666667,1,1,0.6,0.666667] precision 0.751323 [0,0,0.5,0.777778,0.666667,1,1] precision 0.563492 [0,0,0.333333,0.5,0.666667,1,0.5] precision 0.568543 [0,0,0.333333,0.545455,0.5,1,0.666667] precision 0.55873 [0,0,0,0.7,0.666667,0.5,0.666667] precision 0.556122 [0,1,1,0.571429,0.5,0,0.75] precision 0.920635 [0,0,0.666667,1,1,1,1] precision 0.727513 [0,0,0.666667,0.777778,0.75,1,0.5] precision 0.857143 [0,0,0.5,0.857143,0.8,1,1] precision 0.815873 [0,0,0.6,0.857143,1,1,0.666667] precision 0.879819 [0,0,0.666667,0.857143,1,1,1] precision 0.767196 [0,0,0.666667,0.777778,0.666667,1,1] precision 0.771164 [0,0,0.666667,0.777778,0.75,1,1] precision 0.813492 [0,0,0.333333,1,0.833333,0.75,1] precision 0.742063 [0,0,0.5,0.75,0.666667,1,1] precision 0.836735 [0,0,0.5,1,0.714286,1,1] precision 0.627211 [0,0,0.333333,0.8,0.714286,0.666667,0.333333] precision 0.792857 [0,0,0.5,1,0.571429,0.666667,1] precision 0.90625 [0,0,1,1,0.625,1,1] precision 0.838462 [0,0,1,0.538462,1,1,1] precision 0.658333 [0,0,0.333333,0.5,0.75,0.666667,1] precision 0.847917 [0,0,0.666667,0.875,1,1,0.5] precision 0.83125 [0,0,1,1,0.625,0.5,1] precision 0.91875 [0,0,1,0.875,1,1,0.75] precision 0.615 [0,0,0.666667,0.833333,0.666667,0.6,0] precision 0.591667 [0,0,0.5,0.857143,0.666667,0.5,0] precision 0.635 [0,0,0,1,0.5,0.8,0.333333] precision 0.69375 [0,0,1,0.625,0.75,0.25,1] precision 0.875 [0,0,1,1,0.8,1,0.5] precision 0.878571 [0,0,1,0.857143,0.714286,1,1] precision 0.805952 [0,0,0.666667,0.714286,1,0.5,1] precision 0.90625 [0,0,1,1,0.625,1,1] precision 0.878571 [0,0,1,0.857143,0.714286,1,1] precision 0.75625 [0,0,1,0.875,0.5,1,0.5] precision 0.879167 [0,0,0.666667,1,0.8,1,0.75] precision 0.9125 [0,0,1,1,0.8,0.75,1] precision 0.844643 [0,0,1,0.857143,0.75,1,0.666667] precision 0.958333 [0,0,1,1,0.833333,1,1] precision 0.54 [0,0,0.5,0.5,0.5,0.6,0.666667] precision 0.858333 [0,0,1,0.75,1,0.666667,1] precision 0.735 [0,0,1,0.6,0.75,0.666667,1] precision 0.56 [0,0,1,0.5,0.2,0.666667,1] precision 0.825 [0,0,1,0.75,0.75,1,0.75] precision 0.57619 [0,0,0.333333,0.857143,0.571429,0,0.666667] precision 0.854286 [0,0,1,0.714286,1,1,0.6] precision 0.792857 [0,0,1,1,0.571429,0.333333,1] precision 0.705 [0,0,1,0.6,0.5,0.666667,1] precision 0.604167 [0,0,1,0.625,0.4,0.333333,1] precision 0.872222 [0,0,1,0.777778,0.8,1,1] precision 0.791667 [0,0,1,1,0.555556,1,0.5] precision 0.916667 [0,0,1,1,0.8,1,0.666667] precision 0.880952 [0,0,0.666667,0.857143,0.857143,1,1] precision 0.841667 [0,0,0.666667,1,0.5,1,1] precision 0.90625 [0,0,1,0.875,1,0.666667,1] precision 0.916667 [0,0,1,1,0.833333,1,0.666667] precision 0.875 [0,0,0.75,0.75,1,1,1] precision 0.925 [0,0,1,1,1,0.75,0.75] precision 0.733929 [0,0,0.75,0.571429,0.6,1,1] precision 0.829167 [0,0,1,0.857143,0.666667,0.75,1] precision 0.6125 [0,0,0.5,1,0.5,0,0.75] precision 0.7375 [0,0,1,0.75,0.5,0.75,1] precision 0.815 [0,0,1,0.833333,0.8,0.75,0.75] precision 0.864286 [0,0,1,0.714286,0.833333,1,1] precision 0.872727 [0,0,1,0.636364,1,1,1] precision 0.8275 [0,0,0.75,0.75,1,0.6,1] precision 0.916667 [0,0,1,1,0.8,1,0.666667] precision 0.745 [0,0,1,0.7,0.6,1,0.666667] predictive_accuracy 0.714286 predictive_accuracy 0.714286 predictive_accuracy 0.571429 predictive_accuracy 0.857143 predictive_accuracy 0.761905 predictive_accuracy 0.761905 predictive_accuracy 0.714286 predictive_accuracy 0.666667 predictive_accuracy 0.904762 predictive_accuracy 0.761905 predictive_accuracy 0.666667 predictive_accuracy 0.619048 predictive_accuracy 0.761905 predictive_accuracy 0.809524 predictive_accuracy 0.761905 predictive_accuracy 0.714286 predictive_accuracy 0.761905 predictive_accuracy 0.809524 predictive_accuracy 0.761905 predictive_accuracy 0.761905 predictive_accuracy 0.761905 predictive_accuracy 0.809524 predictive_accuracy 0.809524 predictive_accuracy 0.714286 predictive_accuracy 0.666667 predictive_accuracy 0.571429 predictive_accuracy 0.904762 predictive_accuracy 0.761905 predictive_accuracy 0.857143 predictive_accuracy 0.809524 predictive_accuracy 0.714286 predictive_accuracy 0.761905 predictive_accuracy 0.761905 predictive_accuracy 0.809524 predictive_accuracy 0.714286 predictive_accuracy 0.52381 predictive_accuracy 0.571429 predictive_accuracy 0.619048 predictive_accuracy 0.571429 predictive_accuracy 0.952381 predictive_accuracy 0.761905 predictive_accuracy 0.809524 predictive_accuracy 0.809524 predictive_accuracy 0.904762 predictive_accuracy 0.761905 predictive_accuracy 0.809524 predictive_accuracy 0.809524 predictive_accuracy 0.761905 predictive_accuracy 0.809524 predictive_accuracy 0.619048 predictive_accuracy 0.75 predictive_accuracy 0.85 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.65 predictive_accuracy 0.7 predictive_accuracy 0.65 predictive_accuracy 0.85 predictive_accuracy 0.85 predictive_accuracy 0.8 predictive_accuracy 0.85 predictive_accuracy 0.85 predictive_accuracy 0.75 predictive_accuracy 0.85 predictive_accuracy 0.9 predictive_accuracy 0.85 predictive_accuracy 0.95 predictive_accuracy 0.55 predictive_accuracy 0.85 predictive_accuracy 0.7 predictive_accuracy 0.55 predictive_accuracy 0.8 predictive_accuracy 0.65 predictive_accuracy 0.8 predictive_accuracy 0.65 predictive_accuracy 0.65 predictive_accuracy 0.6 predictive_accuracy 0.85 predictive_accuracy 0.75 predictive_accuracy 0.9 predictive_accuracy 0.85 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.85 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.65 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.85 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.7 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 recall 0.714286 [0,0,0.333333,1,0.6,0.666667,0.666667] recall 0.714286 [0,0,1,1,0.333333,1,0.5] recall 0.571429 [0,0,0.5,0.571429,0.5,0.666667,0.666667] recall 0.857143 [0,0,1,1,0.6,0.666667,1] recall 0.761905 [0,0,0.5,1,0.666667,0.5,1] recall 0.761905 [0,0,1,0.714286,0.833333,1,0.333333] recall 0.714286 [0,0,1,1,0.333333,0.666667,0.5] recall 0.666667 [0,0,0.5,0.714286,0.833333,0.5,0.5] recall 0.904762 [0,0,0.5,1,0.833333,1,1] recall 0.761905 [0,0,1,0.857143,0.833333,0,1] recall 0.666667 [0,0,0.5,0.714286,0.833333,0.333333,0.666667] recall 0.619048 [0,0,1,1,0.166667,0.666667,0.666667] recall 0.761905 [0,0,1,0.857143,0.833333,0.666667,0.333333] recall 0.809524 [0,0,1,0.857143,0.8,0.666667,0.666667] recall 0.761905 [0,0,0.666667,1,0.6,0.5,1] recall 0.714286 [0,0,1,1,0.833333,0,0.333333] recall 0.761905 [0,0,0.666667,0.833333,0.833333,1,0] recall 0.809524 [0,0,0.5,0.857143,0.8,1,0.666667] recall 0.761905 [0,0,1,0.833333,0.666667,0.5,1] recall 0.761905 [0,0,0.5,1,0.833333,0,1] recall 0.761905 [0,0,1,0.857143,0.666667,0.666667,1] recall 0.809524 [0,0,1,1,0.666667,1,0.666667] recall 0.809524 [0,0,1,0.714286,1,1,0.666667] recall 0.714286 [0,0,1,0.857143,0.8,0,1] recall 0.666667 [0,0,0.666667,0.571429,0.8,1,0.5] recall 0.571429 [0,0,0.5,0.714286,0.333333,1,0.5] recall 0.904762 [0,0,1,0.833333,1,1,1] recall 0.761905 [0,0,1,1,0.8,0.333333,0.666667] recall 0.857143 [0,0,1,1,1,1,0.333333] recall 0.809524 [0,0,1,0.857143,0.833333,1,0.5] recall 0.714286 [0,0,1,0.857143,1,0.333333,0] recall 0.761905 [0,0,0.5,1,0.666667,0.75,0.666667] recall 0.761905 [0,0,0.5,1,0.8,0.666667,0.666667] recall 0.809524 [0,0,1,1,0.6,1,0.666667] recall 0.714286 [0,0,1,1,0.8,0.333333,0.333333] recall 0.52381 [0,0,0.333333,0.857143,0.4,0.333333,0.5] recall 0.571429 [0,0,0.5,1,0.166667,0.666667,0.666667] recall 0.619048 [0,0,0,1,0.4,0.666667,0.666667] recall 0.571429 [0,1,0.5,0.666667,0.5,0,1] recall 0.952381 [0,0,1,1,1,1,1] recall 0.761905 [0,0,1,1,0.5,1,0.5] recall 0.809524 [0,0,1,0.857143,0.8,0.75,0.666667] recall 0.809524 [0,0,1,0.857143,0.8,0.666667,1] recall 0.904762 [0,0,1,1,0.833333,1,1] recall 0.761905 [0,0,1,1,0.8,0.666667,0.333333] recall 0.809524 [0,0,0.666667,1,0.6,1,1] recall 0.809524 [0,0,0.5,0.714286,1,1,1] recall 0.761905 [0,0,0.5,0.857143,0.8,0.666667,1] recall 0.809524 [0,0,1,0.714286,1,0.666667,1] recall 0.619048 [0,0,0.5,0.571429,1,0.5,0.5] recall 0.75 [0,0,0.5,0.857143,0.8,0.666667,0.666667] recall 0.85 [0,0,1,0.714286,1,1,0.666667] recall 0.7 [0,0,0.666667,1,0.2,0.666667,1] recall 0.6 [0,0,0.5,0.666667,0.5,0.666667,0.666667] recall 0.75 [0,0,1,1,0.4,0.333333,1] recall 0.75 [0,0,1,0.571429,1,0.666667,0.666667] recall 0.9 [0,0,1,1,0.6,1,1] recall 0.7 [0,0,1,0.714286,0.8,1,0] recall 0.65 [0,0,1,0.857143,0.8,0.333333,0] recall 0.7 [0,0,0,1,0.6,1,0.333333] recall 0.65 [0,0,1,0.714286,0.6,0.333333,0.666667] recall 0.85 [0,0,1,1,0.8,0.666667,0.666667] recall 0.85 [0,0,1,0.857143,1,0.5,1] recall 0.8 [0,0,1,0.833333,0.833333,0.333333,1] recall 0.85 [0,0,1,0.714286,1,1,0.666667] recall 0.85 [0,0,1,0.857143,1,0.333333,1] recall 0.75 [0,0,1,1,0.6,0.666667,0.333333] recall 0.85 [0,0,1,0.857143,0.8,0.666667,1] recall 0.9 [0,0,0.5,1,0.8,1,1] recall 0.85 [0,0,1,1,0.6,1,0.666667] recall 0.95 [0,0,0.5,1,1,1,1] recall 0.55 [0,0,0.5,0.428571,0.4,1,0.666667] recall 0.85 [0,0,1,1,0.8,0.5,1] recall 0.7 [0,0,1,0.857143,0.5,0.666667,0.5] recall 0.55 [0,0,1,0.666667,0.166667,0.666667,0.666667] recall 0.8 [0,0,0.5,1,0.6,0.75,1] recall 0.65 [0,0,0.5,0.857143,0.8,0,0.666667] recall 0.8 [0,0,1,0.833333,0.5,1,1] recall 0.65 [0,0,0.5,0.714286,0.8,0.666667,0.333333] recall 0.65 [0,0,0.666667,1,0.4,0.666667,0.333333] recall 0.6 [0,0,0.5,0.833333,0.4,0.25,1] recall 0.85 [0,0,1,1,0.8,0.333333,1] recall 0.75 [0,0,0.5,1,0.833333,0.666667,0.333333] recall 0.9 [0,0,1,0.857143,0.8,1,1] recall 0.85 [0,0,1,1,1,0.666667,0.333333] recall 0.7 [0,0,1,0.5,1,0.5,0.666667] recall 0.9 [0,0,1,1,1,0.666667,0.666667] recall 0.9 [0,0,0.666667,1,0.833333,1,1] recall 0.85 [0,0,1,0.857143,0.6,1,1] recall 0.9 [0,0,1,0.857143,0.8,1,1] recall 0.7 [0,0,1,0.666667,0.6,0.333333,1] recall 0.8 [0,0,0.333333,0.857143,0.8,1,1] recall 0.65 [0,0,1,0.833333,0.5,0,1] recall 0.7 [0,0,0.5,0.857143,0.6,0.75,0.5] recall 0.8 [0,0,0.5,0.833333,0.666667,1,1] recall 0.85 [0,0,1,0.833333,0.833333,0.666667,1] recall 0.8 [0,0,1,1,0.6,0.333333,1] recall 0.8 [0,0,1,0.5,0.833333,1,1] recall 0.9 [0,0,1,1,0.8,0.666667,1] recall 0.7 [0,0,0.5,1,0.6,0.333333,0.666667] relative_absolute_error 0.382409 relative_absolute_error 0.379461 relative_absolute_error 0.510169 relative_absolute_error 0.19669 relative_absolute_error 0.321528 relative_absolute_error 0.304619 relative_absolute_error 0.390633 relative_absolute_error 0.432177 relative_absolute_error 0.137672 relative_absolute_error 0.351882 relative_absolute_error 0.419217 relative_absolute_error 0.480147 relative_absolute_error 0.331095 relative_absolute_error 0.303381 relative_absolute_error 0.343681 relative_absolute_error 0.41906 relative_absolute_error 0.361157 relative_absolute_error 0.312389 relative_absolute_error 0.379922 relative_absolute_error 0.333109 relative_absolute_error 0.325753 relative_absolute_error 0.258917 relative_absolute_error 0.229806 relative_absolute_error 0.352529 relative_absolute_error 0.422011 relative_absolute_error 0.549782 relative_absolute_error 0.18259 relative_absolute_error 0.339717 relative_absolute_error 0.198932 relative_absolute_error 0.257396 relative_absolute_error 0.37353 relative_absolute_error 0.368493 relative_absolute_error 0.33596 relative_absolute_error 0.273287 relative_absolute_error 0.373413 relative_absolute_error 0.606214 relative_absolute_error 0.473369 relative_absolute_error 0.51059 relative_absolute_error 0.564503 relative_absolute_error 0.102826 relative_absolute_error 0.346001 relative_absolute_error 0.2785 relative_absolute_error 0.250383 relative_absolute_error 0.132591 relative_absolute_error 0.279834 relative_absolute_error 0.296255 relative_absolute_error 0.250902 relative_absolute_error 0.313539 relative_absolute_error 0.25712 relative_absolute_error 0.497456 relative_absolute_error 0.343633 relative_absolute_error 0.227652 relative_absolute_error 0.392457 relative_absolute_error 0.535677 relative_absolute_error 0.401515 relative_absolute_error 0.330922 relative_absolute_error 0.152135 relative_absolute_error 0.417822 relative_absolute_error 0.45954 relative_absolute_error 0.397749 relative_absolute_error 0.49952 relative_absolute_error 0.173115 relative_absolute_error 0.248295 relative_absolute_error 0.298617 relative_absolute_error 0.258959 relative_absolute_error 0.263786 relative_absolute_error 0.353129 relative_absolute_error 0.220393 relative_absolute_error 0.175821 relative_absolute_error 0.254949 relative_absolute_error 0.08289 relative_absolute_error 0.563791 relative_absolute_error 0.225565 relative_absolute_error 0.445033 relative_absolute_error 0.554685 relative_absolute_error 0.262755 relative_absolute_error 0.435491 relative_absolute_error 0.297559 relative_absolute_error 0.437334 relative_absolute_error 0.42693 relative_absolute_error 0.464829 relative_absolute_error 0.232519 relative_absolute_error 0.382004 relative_absolute_error 0.148807 relative_absolute_error 0.207749 relative_absolute_error 0.426041 relative_absolute_error 0.148645 relative_absolute_error 0.224203 relative_absolute_error 0.250033 relative_absolute_error 0.174723 relative_absolute_error 0.361183 relative_absolute_error 0.265923 relative_absolute_error 0.471341 relative_absolute_error 0.397922 relative_absolute_error 0.335557 relative_absolute_error 0.223444 relative_absolute_error 0.247901 relative_absolute_error 0.270755 relative_absolute_error 0.113255 relative_absolute_error 0.390421 root_mean_prior_squared_error 0.3324 root_mean_prior_squared_error 0.331627 root_mean_prior_squared_error 0.329296 root_mean_prior_squared_error 0.3324 root_mean_prior_squared_error 0.328809 root_mean_prior_squared_error 0.329296 root_mean_prior_squared_error 0.329783 root_mean_prior_squared_error 0.328809 root_mean_prior_squared_error 0.328809 root_mean_prior_squared_error 0.329296 root_mean_prior_squared_error 0.329296 root_mean_prior_squared_error 0.335475 root_mean_prior_squared_error 0.329296 root_mean_prior_squared_error 0.3324 root_mean_prior_squared_error 0.331917 root_mean_prior_squared_error 0.329296 root_mean_prior_squared_error 0.333171 root_mean_prior_squared_error 0.331433 root_mean_prior_squared_error 0.332689 root_mean_prior_squared_error 0.329296 root_mean_prior_squared_error 0.331627 root_mean_prior_squared_error 0.335475 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334709 root_mean_prior_squared_error 0.331627 root_mean_prior_squared_error 0.334996 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.335475 root_mean_prior_squared_error 0.331627 root_mean_prior_squared_error 0.331627 root_mean_prior_squared_error 0.332689 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334709 root_mean_prior_squared_error 0.335475 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.335475 root_mean_prior_squared_error 0.331627 root_mean_prior_squared_error 0.331627 root_mean_prior_squared_error 0.331433 root_mean_prior_squared_error 0.334709 root_mean_prior_squared_error 0.335475 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334709 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.333749 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.330391 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.333436 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.329369 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.334445 root_mean_prior_squared_error 0.333436 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.333436 root_mean_prior_squared_error 0.327111 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.333436 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.334445 root_mean_prior_squared_error 0.333436 root_mean_prior_squared_error 0.330391 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.329369 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.333436 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.331714 root_mean_prior_squared_error 0.330391 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.334445 root_mean_prior_squared_error 0.330391 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.329369 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.331714 root_mean_prior_squared_error 0.330391 root_mean_prior_squared_error 0.32988 root_mean_squared_error 0.269433 root_mean_squared_error 0.243017 root_mean_squared_error 0.294097 root_mean_squared_error 0.16 root_mean_squared_error 0.231517 root_mean_squared_error 0.230551 root_mean_squared_error 0.273845 root_mean_squared_error 0.275103 root_mean_squared_error 0.145359 root_mean_squared_error 0.258166 root_mean_squared_error 0.28943 root_mean_squared_error 0.302092 root_mean_squared_error 0.235989 root_mean_squared_error 0.231515 root_mean_squared_error 0.25377 root_mean_squared_error 0.270635 root_mean_squared_error 0.247708 root_mean_squared_error 0.227298 root_mean_squared_error 0.246832 root_mean_squared_error 0.256129 root_mean_squared_error 0.237126 root_mean_squared_error 0.212807 root_mean_squared_error 0.206966 root_mean_squared_error 0.256714 root_mean_squared_error 0.293886 root_mean_squared_error 0.320893 root_mean_squared_error 0.172543 root_mean_squared_error 0.250542 root_mean_squared_error 0.176099 root_mean_squared_error 0.211056 root_mean_squared_error 0.26726 root_mean_squared_error 0.26605 root_mean_squared_error 0.25314 root_mean_squared_error 0.205582 root_mean_squared_error 0.264765 root_mean_squared_error 0.337419 root_mean_squared_error 0.288672 root_mean_squared_error 0.306435 root_mean_squared_error 0.32306 root_mean_squared_error 0.127202 root_mean_squared_error 0.249185 root_mean_squared_error 0.218351 root_mean_squared_error 0.226012 root_mean_squared_error 0.16499 root_mean_squared_error 0.209347 root_mean_squared_error 0.22492 root_mean_squared_error 0.219703 root_mean_squared_error 0.245435 root_mean_squared_error 0.197275 root_mean_squared_error 0.317304 root_mean_squared_error 0.253887 root_mean_squared_error 0.192719 root_mean_squared_error 0.269046 root_mean_squared_error 0.318577 root_mean_squared_error 0.2663 root_mean_squared_error 0.242612 root_mean_squared_error 0.144176 root_mean_squared_error 0.269773 root_mean_squared_error 0.309284 root_mean_squared_error 0.28408 root_mean_squared_error 0.306176 root_mean_squared_error 0.160745 root_mean_squared_error 0.190079 root_mean_squared_error 0.226906 root_mean_squared_error 0.187592 root_mean_squared_error 0.209911 root_mean_squared_error 0.258982 root_mean_squared_error 0.196933 root_mean_squared_error 0.166074 root_mean_squared_error 0.198816 root_mean_squared_error 0.103589 root_mean_squared_error 0.319865 root_mean_squared_error 0.191549 root_mean_squared_error 0.280372 root_mean_squared_error 0.330144 root_mean_squared_error 0.224705 root_mean_squared_error 0.27955 root_mean_squared_error 0.221431 root_mean_squared_error 0.2787 root_mean_squared_error 0.279397 root_mean_squared_error 0.301866 root_mean_squared_error 0.212151 root_mean_squared_error 0.252101 root_mean_squared_error 0.166251 root_mean_squared_error 0.184585 root_mean_squared_error 0.275922 root_mean_squared_error 0.170429 root_mean_squared_error 0.181588 root_mean_squared_error 0.204549 root_mean_squared_error 0.168508 root_mean_squared_error 0.259372 root_mean_squared_error 0.235779 root_mean_squared_error 0.301677 root_mean_squared_error 0.281921 root_mean_squared_error 0.230432 root_mean_squared_error 0.203695 root_mean_squared_error 0.208912 root_mean_squared_error 0.224123 root_mean_squared_error 0.130298 root_mean_squared_error 0.26827 root_relative_squared_error 0.81057 root_relative_squared_error 0.732804 root_relative_squared_error 0.893107 root_relative_squared_error 0.481348 root_relative_squared_error 0.704109 root_relative_squared_error 0.700132 root_relative_squared_error 0.830379 root_relative_squared_error 0.836665 root_relative_squared_error 0.442079 root_relative_squared_error 0.783992 root_relative_squared_error 0.878936 root_relative_squared_error 0.900491 root_relative_squared_error 0.716647 root_relative_squared_error 0.696496 root_relative_squared_error 0.76456 root_relative_squared_error 0.821859 root_relative_squared_error 0.743484 root_relative_squared_error 0.685803 root_relative_squared_error 0.741931 root_relative_squared_error 0.777808 root_relative_squared_error 0.71504 root_relative_squared_error 0.634345 root_relative_squared_error 0.619234 root_relative_squared_error 0.768079 root_relative_squared_error 0.878034 root_relative_squared_error 0.967632 root_relative_squared_error 0.51506 root_relative_squared_error 0.749613 root_relative_squared_error 0.524926 root_relative_squared_error 0.636426 root_relative_squared_error 0.805905 root_relative_squared_error 0.799694 root_relative_squared_error 0.757385 root_relative_squared_error 0.615092 root_relative_squared_error 0.792165 root_relative_squared_error 1.008097 root_relative_squared_error 0.860487 root_relative_squared_error 0.91684 root_relative_squared_error 0.962992 root_relative_squared_error 0.383569 root_relative_squared_error 0.751403 root_relative_squared_error 0.658807 root_relative_squared_error 0.675249 root_relative_squared_error 0.491809 root_relative_squared_error 0.626359 root_relative_squared_error 0.671986 root_relative_squared_error 0.657342 root_relative_squared_error 0.734332 root_relative_squared_error 0.59024 root_relative_squared_error 0.950726 root_relative_squared_error 0.769634 root_relative_squared_error 0.584207 root_relative_squared_error 0.814327 root_relative_squared_error 0.961871 root_relative_squared_error 0.807263 root_relative_squared_error 0.735454 root_relative_squared_error 0.437055 root_relative_squared_error 0.817791 root_relative_squared_error 0.937563 root_relative_squared_error 0.851978 root_relative_squared_error 0.928142 root_relative_squared_error 0.487281 root_relative_squared_error 0.577099 root_relative_squared_error 0.68509 root_relative_squared_error 0.568666 root_relative_squared_error 0.636324 root_relative_squared_error 0.785079 root_relative_squared_error 0.596982 root_relative_squared_error 0.503438 root_relative_squared_error 0.594465 root_relative_squared_error 0.310672 root_relative_squared_error 0.96964 root_relative_squared_error 0.574471 root_relative_squared_error 0.857114 root_relative_squared_error 0.996793 root_relative_squared_error 0.673907 root_relative_squared_error 0.847428 root_relative_squared_error 0.66856 root_relative_squared_error 0.84485 root_relative_squared_error 0.835403 root_relative_squared_error 0.905319 root_relative_squared_error 0.642122 root_relative_squared_error 0.761161 root_relative_squared_error 0.504754 root_relative_squared_error 0.557311 root_relative_squared_error 0.827509 root_relative_squared_error 0.516639 root_relative_squared_error 0.547423 root_relative_squared_error 0.619112 root_relative_squared_error 0.510816 root_relative_squared_error 0.775531 root_relative_squared_error 0.713636 root_relative_squared_error 0.910845 root_relative_squared_error 0.855943 root_relative_squared_error 0.695737 root_relative_squared_error 0.61501 root_relative_squared_error 0.633295 root_relative_squared_error 0.675651 root_relative_squared_error 0.394376 root_relative_squared_error 0.813234 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 1190 usercpu_time_millis 410 usercpu_time_millis 1290 usercpu_time_millis 1290 usercpu_time_millis 410 usercpu_time_millis 300 usercpu_time_millis 320 usercpu_time_millis 1170 usercpu_time_millis 290 usercpu_time_millis 1530 usercpu_time_millis 1330 usercpu_time_millis 320 usercpu_time_millis 1070 usercpu_time_millis 1270 usercpu_time_millis 310 usercpu_time_millis 390 usercpu_time_millis 310 usercpu_time_millis 310 usercpu_time_millis 410 usercpu_time_millis 1080 usercpu_time_millis 310 usercpu_time_millis 320 usercpu_time_millis 300 usercpu_time_millis 1500 usercpu_time_millis 310 usercpu_time_millis 300 usercpu_time_millis 310 usercpu_time_millis 310 usercpu_time_millis 300 usercpu_time_millis 310 usercpu_time_millis 400 usercpu_time_millis 320 usercpu_time_millis 420 usercpu_time_millis 290 usercpu_time_millis 400 usercpu_time_millis 410 usercpu_time_millis 1460 usercpu_time_millis 1130 usercpu_time_millis 1410 usercpu_time_millis 320 usercpu_time_millis 310 usercpu_time_millis 300 usercpu_time_millis 1120 usercpu_time_millis 310 usercpu_time_millis 1230 usercpu_time_millis 300 usercpu_time_millis 420 usercpu_time_millis 300 usercpu_time_millis 1440 usercpu_time_millis 1460 usercpu_time_millis 420 usercpu_time_millis 330 usercpu_time_millis 300 usercpu_time_millis 300 usercpu_time_millis 890 usercpu_time_millis 1180 usercpu_time_millis 420 usercpu_time_millis 300 usercpu_time_millis 400 usercpu_time_millis 310 usercpu_time_millis 300 usercpu_time_millis 1200 usercpu_time_millis 1340 usercpu_time_millis 1500 usercpu_time_millis 1390 usercpu_time_millis 1410 usercpu_time_millis 300 usercpu_time_millis 1330 usercpu_time_millis 300 usercpu_time_millis 320 usercpu_time_millis 1440 usercpu_time_millis 1170 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 310 usercpu_time_millis 300 usercpu_time_millis 1260 usercpu_time_millis 300 usercpu_time_millis 1430 usercpu_time_millis 300 usercpu_time_millis 1110 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 400 usercpu_time_millis 1490 usercpu_time_millis 420 usercpu_time_millis 400 usercpu_time_millis 300 usercpu_time_millis 410 usercpu_time_millis 1500 usercpu_time_millis 410 usercpu_time_millis 1320 usercpu_time_millis 300 usercpu_time_millis 1400 usercpu_time_millis 310 usercpu_time_millis 1420 usercpu_time_millis 300 usercpu_time_millis 1220 usercpu_time_millis 310 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 10 usercpu_time_millis_testing 10 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 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 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_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 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_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_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 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_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 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_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 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_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 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 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_training 1190 usercpu_time_millis_training 410 usercpu_time_millis_training 1290 usercpu_time_millis_training 1280 usercpu_time_millis_training 410 usercpu_time_millis_training 300 usercpu_time_millis_training 310 usercpu_time_millis_training 1160 usercpu_time_millis_training 290 usercpu_time_millis_training 1530 usercpu_time_millis_training 1330 usercpu_time_millis_training 320 usercpu_time_millis_training 1070 usercpu_time_millis_training 1260 usercpu_time_millis_training 300 usercpu_time_millis_training 390 usercpu_time_millis_training 310 usercpu_time_millis_training 310 usercpu_time_millis_training 400 usercpu_time_millis_training 1070 usercpu_time_millis_training 310 usercpu_time_millis_training 310 usercpu_time_millis_training 290 usercpu_time_millis_training 1500 usercpu_time_millis_training 310 usercpu_time_millis_training 300 usercpu_time_millis_training 310 usercpu_time_millis_training 310 usercpu_time_millis_training 290 usercpu_time_millis_training 310 usercpu_time_millis_training 400 usercpu_time_millis_training 320 usercpu_time_millis_training 410 usercpu_time_millis_training 280 usercpu_time_millis_training 400 usercpu_time_millis_training 400 usercpu_time_millis_training 1460 usercpu_time_millis_training 1120 usercpu_time_millis_training 1410 usercpu_time_millis_training 320 usercpu_time_millis_training 310 usercpu_time_millis_training 300 usercpu_time_millis_training 1120 usercpu_time_millis_training 300 usercpu_time_millis_training 1230 usercpu_time_millis_training 300 usercpu_time_millis_training 420 usercpu_time_millis_training 300 usercpu_time_millis_training 1430 usercpu_time_millis_training 1460 usercpu_time_millis_training 410 usercpu_time_millis_training 320 usercpu_time_millis_training 300 usercpu_time_millis_training 300 usercpu_time_millis_training 880 usercpu_time_millis_training 1180 usercpu_time_millis_training 410 usercpu_time_millis_training 300 usercpu_time_millis_training 400 usercpu_time_millis_training 310 usercpu_time_millis_training 300 usercpu_time_millis_training 1200 usercpu_time_millis_training 1330 usercpu_time_millis_training 1500 usercpu_time_millis_training 1380 usercpu_time_millis_training 1410 usercpu_time_millis_training 300 usercpu_time_millis_training 1330 usercpu_time_millis_training 300 usercpu_time_millis_training 320 usercpu_time_millis_training 1430 usercpu_time_millis_training 1160 usercpu_time_millis_training 300 usercpu_time_millis_training 290 usercpu_time_millis_training 300 usercpu_time_millis_training 300 usercpu_time_millis_training 1260 usercpu_time_millis_training 300 usercpu_time_millis_training 1430 usercpu_time_millis_training 300 usercpu_time_millis_training 1110 usercpu_time_millis_training 300 usercpu_time_millis_training 290 usercpu_time_millis_training 290 usercpu_time_millis_training 400 usercpu_time_millis_training 1490 usercpu_time_millis_training 410 usercpu_time_millis_training 390 usercpu_time_millis_training 290 usercpu_time_millis_training 410 usercpu_time_millis_training 1500 usercpu_time_millis_training 410 usercpu_time_millis_training 1320 usercpu_time_millis_training 300 usercpu_time_millis_training 1400 usercpu_time_millis_training 310 usercpu_time_millis_training 1420 usercpu_time_millis_training 300 usercpu_time_millis_training 1220 usercpu_time_millis_training 310