390692 2 Joaquin Vanschoren 1889 Supervised Classification predictive_accuracy 1185 weka.Bagging_REPTree(8) 2032 weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 M 2 1077 V 0.001 1077 N 3 1077 S 1 1077 L -1 1077 I 0.0 1077 P 100 1185 S 1 1185 num-slots 1 1185 I 10 1185 W weka.classifiers.trees.REPTree 1185 weka weka_3.7.12 9 autos https://www.openml.org/data/download/9/dataset_9_autos.arff -1 1363824 description https://api.openml.org/data/download/1363824/weka_generated_run7990111354001330621.xml -1 1363827 model_readable https://api.openml.org/data/download/1363827/WekaModel_weka.classifiers.meta.Bagging1719117981767294415.model -1 1363826 model_serialized https://api.openml.org/data/download/1363826/WekaSerialized_weka.classifiers.meta.Bagging5470273031664686947.model -1 1363825 predictions https://api.openml.org/data/download/1363825/weka_generated_predictions9149037187915615129.arff area_under_roc_curve 0.852758 [0.0,1,0.896051,0.893412,0.808239,0.820208,0.827856] average_cost 0 f_measure 0.648758 [0,0,0.751592,0.752547,0.626786,0.515528,0.581345] kappa 0.549366 kb_relative_information_score 1047.929588 mean_absolute_error 0.13453 mean_prior_absolute_error 0.220919 number_of_instances 2050 [0,30,220,670,540,320,270] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.647482 [0,0,0.705179,0.734375,0.605172,0.512346,0.701571] predictive_accuracy 0.656098 prior_entropy 2.326811 recall 0.656098 [0,0,0.804545,0.771642,0.65,0.51875,0.496296] relative_absolute_error 0.608954 root_mean_prior_squared_error 0.331758 root_mean_squared_error 0.267023 root_relative_squared_error 0.804872 scimark_benchmark 946.930411 [537.8478641955553, 1012.3219999497024, 518.9665640553163, 908.3298941433044, 1757.1857345400422] total_cost 0 usercpu_time_millis 20 usercpu_time_millis_testing 10 usercpu_time_millis_training 10 area_under_roc_curve 0.895715 [0.0,0.0,0.768519,0.897959,0.84375,1,1] area_under_roc_curve 0.907901 [0.0,1,0.921053,0.979592,0.727778,1,1] area_under_roc_curve 0.73241 [0.0,0.0,0.631579,0.918367,0.633333,0.796296,0.5] area_under_roc_curve 0.912935 [0.0,0.0,1,0.918367,0.9375,0.722222,0.962963] area_under_roc_curve 0.909618 [0.0,0.0,0.986842,0.938776,0.788889,0.955882,1] area_under_roc_curve 0.79093 [0.0,0.0,1,0.841837,0.688889,0.944444,0.583333] area_under_roc_curve 0.894271 [0.0,0.0,1,0.94898,0.9,0.666667,0.868421] area_under_roc_curve 0.845828 [0.0,0.0,1,0.969388,0.738889,0.727941,0.815789] area_under_roc_curve 0.926817 [0.0,0.0,0.684211,1,0.866667,1,0.947368] area_under_roc_curve 0.727627 [0.0,0.0,1,0.719388,0.688889,0.37037,1] area_under_roc_curve 0.830688 [0.0,0.0,1,1,0.722222,0.898148,0.472222] area_under_roc_curve 0.898691 [0.0,1,0.947368,0.944444,0.811111,0.851852,0.962963] area_under_roc_curve 0.806576 [0.0,0.0,1,0.72449,0.755556,0.805556,0.972222] area_under_roc_curve 0.826365 [0.0,0.0,0.75,0.836735,0.74375,0.935185,0.907407] area_under_roc_curve 0.831188 [0.0,0.0,0.787037,1,0.7875,0.558824,0.960526] area_under_roc_curve 0.773885 [0.0,0.0,1,0.979592,0.755556,0.25,0.703704] area_under_roc_curve 0.797376 [0.0,0.0,1,0.822222,0.877778,0.794118,0.184211] area_under_roc_curve 0.838662 [0.0,0.0,0.644737,0.836735,0.7375,1,0.925926] area_under_roc_curve 0.875506 [0.0,0.0,1,0.855556,0.894444,0.735294,0.981481] area_under_roc_curve 0.905556 [0.0,0.0,1,1,0.905556,0.527778,1] area_under_roc_curve 0.920158 [0.0,1,0.973684,0.918367,0.916667,0.833333,0.973684] area_under_roc_curve 0.903133 [0.0,1,0.907895,1,0.844444,1,0.694444] area_under_roc_curve 0.944917 [0.0,1,1,0.908163,0.975,0.962963,0.907407] area_under_roc_curve 0.877409 [0.0,1,1,0.938776,0.8375,0.574074,0.981481] area_under_roc_curve 0.81209 [0.0,1,0.666667,0.72449,1,0.888889,0.657895] area_under_roc_curve 0.803847 [0.0,1,0.631579,0.867347,0.788889,0.814815,0.684211] area_under_roc_curve 0.917421 [0.0,1,1,0.822222,0.966667,0.889706,0.986842] area_under_roc_curve 0.881845 [0.0,1,0.947368,0.959184,0.9375,0.657407,0.75] area_under_roc_curve 0.896839 [0.0,1,0.947368,0.977778,0.822222,1,0.712963] area_under_roc_curve 0.876483 [0.0,1,1,0.892857,0.894444,1,0.394737] area_under_roc_curve 0.920625 [0.0,1,1,0.938776,0.944444,0.768519,0.894737] area_under_roc_curve 0.77103 [0.0,0.0,0.684211,0.861111,0.733333,0.779412,0.712963] area_under_roc_curve 0.857866 [0.0,1,0.657895,0.918367,0.7875,0.87037,0.907407] area_under_roc_curve 0.949735 [0.0,1,1,1,0.9,0.972222,0.842593] area_under_roc_curve 0.823058 [0.0,1,1,0.979592,0.81875,0.574074,0.537037] area_under_roc_curve 0.710763 [0.0,1,0.925926,0.77551,0.4375,0.87037,0.460526] area_under_roc_curve 0.74851 [0.0,1,0.631579,0.933333,0.522222,0.925926,0.648148] area_under_roc_curve 0.877407 [0.0,1,0.973684,0.959184,0.775,0.981481,0.648148] area_under_roc_curve 0.785659 [0.0,1,0.960526,0.794444,0.644444,0.648148,1] area_under_roc_curve 0.962625 [0.0,1,1,0.954082,1,0.898148,0.921053] area_under_roc_curve 0.783666 [0.0,1,1,0.887755,0.666667,0.703704,0.565789] area_under_roc_curve 0.871827 [0.0,0.0,1,0.903061,0.8,0.941176,0.740741] area_under_roc_curve 0.885532 [0.0,1,0.981481,0.943878,0.775,0.740741,0.973684] area_under_roc_curve 0.890615 [0.0,1,0.973684,0.916667,0.755556,0.944444,0.962963] area_under_roc_curve 0.895099 [0.0,1,0.973684,0.959184,0.79375,0.796296,0.925926] area_under_roc_curve 0.915483 [0.0,1,0.759259,1,0.8,1,0.973684] area_under_roc_curve 0.84884 [0.0,1,0.618421,0.795918,0.88125,0.962963,0.907407] area_under_roc_curve 0.816975 [0.0,1,0.618421,0.80102,0.8625,0.740741,0.925926] area_under_roc_curve 0.904901 [0.0,1,0.973684,1,0.9,0.657407,0.861111] area_under_roc_curve 0.914678 [0.0,1,1,0.908163,0.89375,0.845588,1] area_under_roc_curve 0.841643 [0.0,0.0,0.902778,0.901099,0.773333,0.803922,0.813725] area_under_roc_curve 0.81371 [0.0,0.0,1,0.730769,0.82,0.921569,0.764706] area_under_roc_curve 0.860329 [0.0,0.0,1,0.89011,0.653333,0.921569,0.972222] area_under_roc_curve 0.766935 [0.0,0.0,0.638889,0.809524,0.803571,0.735294,0.72549] area_under_roc_curve 0.850278 [0.0,0.0,0.652778,1,0.64,0.921569,0.911765] area_under_roc_curve 0.854038 [0.0,0.0,0.708333,0.818681,0.886667,0.872549,0.960784] area_under_roc_curve 0.928039 [0.0,0.0,1,1,0.753333,0.970588,0.960784] area_under_roc_curve 0.833235 [0.0,0.0,1,0.857143,0.88,0.960784,0.460784] area_under_roc_curve 0.818132 [0.0,0.0,0.944444,0.934066,0.84,0.833333,0.411765] area_under_roc_curve 0.791471 [0.0,0.0,0.416667,0.988095,0.686667,0.945312,0.617647] area_under_roc_curve 0.731591 [0.0,0.0,1,0.653846,0.593333,0.715686,0.980392] area_under_roc_curve 0.888175 [0.0,0.0,1,0.923077,0.913333,0.666667,0.911765] area_under_roc_curve 0.902658 [0.0,0.0,1,0.879121,0.866667,0.898438,0.986111] area_under_roc_curve 0.933613 [0.0,0.0,1,0.97619,0.880952,0.901961,0.941176] area_under_roc_curve 0.929849 [0.0,0.0,1,0.879121,0.953333,0.892157,1] area_under_roc_curve 0.839062 [0.0,0.0,0.972222,0.917582,0.953333,0.5,0.715686] area_under_roc_curve 0.777926 [0.0,0.0,1,0.945055,0.553333,0.72549,0.666667] area_under_roc_curve 0.839041 [0.0,0.0,0.986111,0.851648,0.84,0.588235,0.960784] area_under_roc_curve 0.916824 [0.0,0.0,0.652778,0.989011,0.833333,0.980392,1] area_under_roc_curve 0.930924 [0.0,0.0,1,0.928571,0.88,0.960784,0.921569] area_under_roc_curve 0.932173 [0.0,0.0,0.680556,1,0.88,1,0.960784] area_under_roc_curve 0.901853 [0.0,0.0,0.972222,0.868132,0.826667,0.980392,0.980392] area_under_roc_curve 0.934307 [0.0,0.0,1,0.928571,0.92,0.9375,0.921569] area_under_roc_curve 0.797212 [0.0,0.0,1,0.758242,0.892857,0.676471,0.625] area_under_roc_curve 0.734454 [0.0,0.0,1,0.642857,0.619048,0.823529,0.882353] area_under_roc_curve 0.917857 [0.0,0.0,1,0.97619,0.8,0.875,1] area_under_roc_curve 0.806036 [0.0,0.0,0.694444,0.868132,0.813333,0.754902,0.77451] area_under_roc_curve 0.832878 [0.0,0.0,1,0.821429,0.660714,0.921569,1] area_under_roc_curve 0.859623 [0.0,0.0,0.666667,0.912088,0.906667,0.803922,0.843137] area_under_roc_curve 0.852731 [0.0,0.0,0.970588,0.940476,0.7,0.813725,0.852941] area_under_roc_curve 0.866488 [0.0,0.0,1,0.845238,0.826667,0.78125,1] area_under_roc_curve 0.862662 [0.0,0.0,1,0.912088,0.826667,0.578431,1] area_under_roc_curve 0.775 [0.0,0.0,0.5,0.892857,0.857143,0.862745,0.470588] area_under_roc_curve 0.927991 [0.0,0.0,1,0.945055,0.866667,1,0.805556] area_under_roc_curve 0.897899 [0.0,0.0,1,0.964286,0.940476,0.754902,0.754902] area_under_roc_curve 0.909732 [0.0,0.0,1,0.809524,0.88,0.984375,1] area_under_roc_curve 0.922851 [0.0,0.0,1,0.956044,1,0.715686,0.872549] area_under_roc_curve 0.887722 [0.0,0.0,0.764706,0.988095,0.77381,1,0.944444] area_under_roc_curve 0.854744 [0.0,0.0,1,0.851648,0.626667,1,1] area_under_roc_curve 0.930437 [0.0,0.0,1,0.950549,0.873333,0.911765,0.95098] area_under_roc_curve 0.869951 [0.0,0.0,1,0.875,0.853333,0.666667,0.960784] area_under_roc_curve 0.829495 [0.0,0.0,0.607843,0.873626,0.806667,0.872549,1] area_under_roc_curve 0.84916 [0.0,0.0,1,0.964286,0.714286,0.656863,0.980392] area_under_roc_curve 0.752767 [0.0,0.0,0.694444,0.895604,0.56,0.84375,0.611111] area_under_roc_curve 0.913235 [0.0,0.0,1,0.869048,0.880952,0.980392,0.941176] area_under_roc_curve 0.809979 [0.0,0.0,1,0.755952,0.821429,0.696078,0.882353] area_under_roc_curve 0.941433 [0.0,0.0,1,0.934066,0.893333,0.941176,1] area_under_roc_curve 0.88792 [0.0,0.0,0.990196,0.85119,0.892857,0.941176,0.75] area_under_roc_curve 0.854985 [0.0,0.0,1,0.945055,0.606667,0.872549,0.916667] area_under_roc_curve 0.822407 [0.0,0.0,0.680556,0.923077,0.813333,0.784314,0.735294] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.665306 [0,0,0.8,0.714286,0.5,0.5,0.857143] f_measure 0.579365 [0,0,0.666667,0.8,0.4,0.5,0.666667] f_measure 0.537764 [0,0,0.5,0.666667,0.461538,0.666667,0.285714] f_measure 0.711111 [0,0,1,0.714286,0.666667,0.4,0.8] f_measure 0.667177 [0,0,0.8,0.875,0.666667,0.571429,0] f_measure 0.575877 [0,0,1,0.615385,0.428571,0.571429,0.5] f_measure 0.717796 [0,0,1,0.875,0.769231,0,0.666667] f_measure 0.706481 [0,0,1,0.875,0.6,0.444444,0.666667] f_measure 0.852154 [0,0,0.666667,1,0.8,0.857143,0.666667] f_measure 0.622253 [0,0,1,0.625,0.615385,0,1] f_measure 0.570969 [0,0,0.666667,0.823529,0.615385,0.4,0] f_measure 0.742857 [0,0,0.8,0.8,0.8,0.666667,0.8] f_measure 0.603175 [0,0,1,0.666667,0.5,0.333333,0.666667] f_measure 0.517852 [0,0,0.571429,0.533333,0.545455,0.4,0.5] f_measure 0.723565 [0,0,0.8,0.923077,0.666667,0.5,0.5] f_measure 0.524333 [0,0,1,0.769231,0.461538,0,0.285714] f_measure 0.549784 [0,0,1,0.545455,0.545455,0.5,0] f_measure 0.626897 [0,0,0.666667,0.615385,0.571429,0.666667,0.666667] f_measure 0.666667 [0,0,1,0.666667,0.666667,0.5,0.666667] f_measure 0.8 [0,0,1,1,0.8,0,1] f_measure 0.596825 [0,0,0.666667,0.666667,0.666667,0.4,0.666667] f_measure 0.847042 [0,0,0.666667,1,0.909091,1,0.666667] f_measure 0.653061 [0,0,0.666667,0.666667,0.8,0.571429,0.666667] f_measure 0.568254 [0,0,0.8,0.714286,0.666667,0,0.666667] f_measure 0.700938 [0,0,0.5,0.727273,0.909091,0.75,0.666667] f_measure 0.373737 [0,0,0.5,0.571429,0.363636,0.222222,0] f_measure 0.742857 [0,0,0.8,0.833333,0.833333,0.666667,0.666667] f_measure 0.59697 [0,0,0.4,0.8,0.727273,0.333333,0.5] f_measure 0.685374 [0,0,0.5,0.857143,0.6,0.75,0.8] f_measure 0.648773 [0,0,0.666667,0.727273,0.8,0.8,0] f_measure 0.650794 [0,0,0.666667,0.857143,0.833333,0,0.666667] f_measure 0.558824 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[0,0,0.8,1,0.8,0.5,0.5] f_measure 0.646176 [0,0,0.666667,0.6,0.727273,0.6,1] f_measure 0.605594 [0,0,0.5,0.769231,0.545455,0.333333,0.666667] f_measure 0.638846 [0,0,1,0.6,0.615385,0.666667,0.5] f_measure 0.641602 [0,0,0.857143,0.714286,0.545455,0.4,0.666667] f_measure 0.605714 [0,0,0.5,0.5,0.666667,0.571429,0.8] f_measure 0.649744 [0,0,0.666667,0.923077,0.4,0.666667,0.4] f_measure 0.711667 [0,0,0.666667,0.714286,0.8,0.5,0.8] f_measure 0.653611 [0,0,0.8,1,0.444444,0.75,0] f_measure 0.621612 [0,0,1,0.769231,0.666667,0.571429,0] f_measure 0.606667 [0,0,0.666667,0.8,0.8,0.4,0] f_measure 0.590584 [0,0,0,0.909091,0.5,0.75,0.285714] f_measure 0.469444 [0,0,1,0.428571,0.444444,0.222222,0.5] f_measure 0.69 [0,0,1,0.8,0.8,0.333333,0.4] f_measure 0.635 [0,0,1,0.714286,0.5,0.4,0.8] f_measure 0.738571 [0,0,1,0.833333,0.666667,0.4,0.857143] f_measure 0.639318 [0,0,0,0.714286,0.75,0.545455,0.8] f_measure 0.787273 [0,0,0.8,0.857143,0.909091,0.4,0.8] f_measure 0.609957 [0,0,1,0.666667,0.363636,0.571429,0.666667] f_measure 0.549605 [0,0,0.8,0.615385,0.545455,0.285714,0.5] f_measure 0.754744 [0,0,0.666667,0.923077,0.8,0.6,0.5] f_measure 0.636786 [0,0,0.5,0.714286,0.75,0.666667,0.4] f_measure 0.767489 [0,0,0.666667,0.909091,0.666667,0.857143,0.6] f_measure 0.575556 [0,0,0.8,0.444444,0.6,0.6,0.666667] f_measure 0.687587 [0,0,1,0.769231,0.727273,0.5,0.5] f_measure 0.714815 [0,0,0.8,0.769231,0.909091,0.285714,0.5] f_measure 0.455 [0,0,1,0.4,0.333333,0.4,0.5] f_measure 0.845238 [0,0,1,0.857143,0.666667,0.857143,1] f_measure 0.651667 [0,0,0.4,0.714286,0.666667,0.5,0.8] f_measure 0.639048 [0,0,1,0.666667,0.444444,0.571429,0.8] f_measure 0.526667 [0,0,0.666667,0.666667,0.666667,0.4,0] f_measure 0.748571 [0,0,0.857143,0.833333,0.6,0.666667,0.8] f_measure 0.587912 [0,0,1,0.769231,0.5,0.285714,0.5] f_measure 0.533235 [0,0,0.8,0.823529,0.5,0,0] f_measure 0.4575 [0,0,0,0.4,0.625,0.5,0.5] f_measure 0.850855 [0,0,1,0.923077,0.8,0.888889,0.5] f_measure 0.840733 [0,0,0.666667,0.857143,0.923077,0.8,0.8] f_measure 0.746883 [0,0,0.8,0.545455,0.727273,0.857143,1] f_measure 0.896667 [0,0,1,0.933333,1,0.666667,0.8] f_measure 0.796753 [0,0,0.8,0.833333,0.727273,0.857143,0.8] f_measure 0.736905 [0,0,0.857143,0.666667,0.5,1,1] f_measure 0.805952 [0,0,1,0.833333,0.8,0.571429,0.857143] f_measure 0.55 [0,0,0.5,0.666667,0.5,0.333333,0.666667] f_measure 0.694048 [0,0,0.5,0.857143,0.666667,0.571429,0.666667] f_measure 0.562143 [0,0,0.8,0.857143,0.5,0,0.5] f_measure 0.511825 [0,0,0.666667,0.823529,0.307692,0.4,0] f_measure 0.64 [0,0,1,0.666667,0.6,0.666667,0.4] f_measure 0.558901 [0,0,1,0.615385,0.714286,0,0.4] f_measure 0.695 [0,0,1,0.666667,0.666667,0.5,0.8] f_measure 0.694286 [0,0,0.857143,0.6,0.833333,0.571429,0.5] f_measure 0.691364 [0,0,1,0.8,0.545455,0.5,0.5] f_measure 0.422059 [0,0,0.5,0.705882,0.5,0,0] kappa 0.5625 kappa 0.508772 kappa 0.380531 kappa 0.625 kappa 0.611111 kappa 0.430723 kappa 0.673913 kappa 0.615854 kappa 0.804348 kappa 0.544892 kappa 0.471698 kappa 0.692982 kappa 0.490909 kappa 0.371257 kappa 0.627219 kappa 0.373134 kappa 0.444118 kappa 0.498507 kappa 0.567647 kappa 0.806154 kappa 0.490909 kappa 0.819484 kappa 0.582386 kappa 0.504425 kappa 0.641026 kappa 0.192308 kappa 0.692082 kappa 0.501484 kappa 0.633721 kappa 0.568915 kappa 0.629412 kappa 0.420245 kappa 0.447368 kappa 0.571429 kappa 0.497006 kappa 0.297872 kappa 0.310448 kappa 0.432432 kappa 0.453757 kappa 0.689349 kappa 0.380531 kappa 0.501484 kappa 0.634783 kappa 0.5 kappa 0.498507 kappa 0.692082 kappa 0.458453 kappa 0.501484 kappa 0.693878 kappa 0.584746 kappa 0.477124 kappa 0.55414 kappa 0.534884 kappa 0.477124 kappa 0.543974 kappa 0.60396 kappa 0.609121 kappa 0.539474 kappa 0.536424 kappa 0.478827 kappa 0.281046 kappa 0.6 kappa 0.536424 kappa 0.673203 kappa 0.542484 kappa 0.735974 kappa 0.483871 kappa 0.413681 kappa 0.674267 kappa 0.548387 kappa 0.68254 kappa 0.507692 kappa 0.606557 kappa 0.607843 kappa 0.259259 kappa 0.80456 kappa 0.534884 kappa 0.542484 kappa 0.413681 kappa 0.679487 kappa 0.473684 kappa 0.440559 kappa 0.271523 kappa 0.803279 kappa 0.797297 kappa 0.680511 kappa 0.866667 kappa 0.741935 kappa 0.671053 kappa 0.74359 kappa 0.415584 kappa 0.598662 kappa 0.468439 kappa 0.366197 kappa 0.551282 kappa 0.461279 kappa 0.594595 kappa 0.615385 kappa 0.597315 kappa 0.305556 kb_relative_information_score 11.801616 kb_relative_information_score 11.70583 kb_relative_information_score 6.958435 kb_relative_information_score 11.967495 kb_relative_information_score 11.407638 kb_relative_information_score 8.792448 kb_relative_information_score 10.826907 kb_relative_information_score 10.097103 kb_relative_information_score 11.256499 kb_relative_information_score 9.323085 kb_relative_information_score 8.486693 kb_relative_information_score 11.33384 kb_relative_information_score 9.444404 kb_relative_information_score 9.278789 kb_relative_information_score 10.34672 kb_relative_information_score 8.405113 kb_relative_information_score 8.908776 kb_relative_information_score 9.393753 kb_relative_information_score 10.802051 kb_relative_information_score 12.06827 kb_relative_information_score 12.08259 kb_relative_information_score 12.29814 kb_relative_information_score 13.205088 kb_relative_information_score 10.995685 kb_relative_information_score 12.642076 kb_relative_information_score 8.619711 kb_relative_information_score 12.91553 kb_relative_information_score 11.813176 kb_relative_information_score 13.333046 kb_relative_information_score 11.531011 kb_relative_information_score 13.332641 kb_relative_information_score 7.812612 kb_relative_information_score 11.611222 kb_relative_information_score 12.935604 kb_relative_information_score 11.427592 kb_relative_information_score 8.239917 kb_relative_information_score 9.235597 kb_relative_information_score 10.200486 kb_relative_information_score 10.677511 kb_relative_information_score 14.240497 kb_relative_information_score 9.182383 kb_relative_information_score 10.464783 kb_relative_information_score 13.513495 kb_relative_information_score 12.532575 kb_relative_information_score 11.31453 kb_relative_information_score 12.704196 kb_relative_information_score 11.209687 kb_relative_information_score 10.917696 kb_relative_information_score 12.640304 kb_relative_information_score 12.114599 kb_relative_information_score 8.259258 kb_relative_information_score 8.601519 kb_relative_information_score 10.607127 kb_relative_information_score 8.741125 kb_relative_information_score 8.800589 kb_relative_information_score 9.779169 kb_relative_information_score 11.886844 kb_relative_information_score 10.27591 kb_relative_information_score 9.178918 kb_relative_information_score 8.099244 kb_relative_information_score 6.267857 kb_relative_information_score 10.54186 kb_relative_information_score 11.420542 kb_relative_information_score 11.608952 kb_relative_information_score 10.773714 kb_relative_information_score 10.790443 kb_relative_information_score 8.933886 kb_relative_information_score 7.790725 kb_relative_information_score 10.217965 kb_relative_information_score 11.23635 kb_relative_information_score 11.915239 kb_relative_information_score 9.684166 kb_relative_information_score 10.828287 kb_relative_information_score 9.416875 kb_relative_information_score 7.090775 kb_relative_information_score 11.622817 kb_relative_information_score 9.384244 kb_relative_information_score 9.698218 kb_relative_information_score 8.67215 kb_relative_information_score 10.541164 kb_relative_information_score 10.321245 kb_relative_information_score 9.393141 kb_relative_information_score 6.389478 kb_relative_information_score 12.210476 kb_relative_information_score 12.541995 kb_relative_information_score 11.194726 kb_relative_information_score 11.87318 kb_relative_information_score 11.758408 kb_relative_information_score 11.265642 kb_relative_information_score 12.478443 kb_relative_information_score 9.938715 kb_relative_information_score 10.183121 kb_relative_information_score 9.413657 kb_relative_information_score 7.159215 kb_relative_information_score 10.774372 kb_relative_information_score 8.814546 kb_relative_information_score 11.981819 kb_relative_information_score 11.363976 kb_relative_information_score 10.580283 kb_relative_information_score 7.277767 mean_absolute_error 0.120336 mean_absolute_error 0.137565 mean_absolute_error 0.163275 mean_absolute_error 0.121104 mean_absolute_error 0.115763 mean_absolute_error 0.152522 mean_absolute_error 0.12213 mean_absolute_error 0.13156 mean_absolute_error 0.120036 mean_absolute_error 0.142614 mean_absolute_error 0.148991 mean_absolute_error 0.143581 mean_absolute_error 0.143453 mean_absolute_error 0.141826 mean_absolute_error 0.134537 mean_absolute_error 0.142447 mean_absolute_error 0.161397 mean_absolute_error 0.148807 mean_absolute_error 0.132444 mean_absolute_error 0.114299 mean_absolute_error 0.126701 mean_absolute_error 0.139509 mean_absolute_error 0.12141 mean_absolute_error 0.141098 mean_absolute_error 0.125802 mean_absolute_error 0.161412 mean_absolute_error 0.13151 mean_absolute_error 0.130206 mean_absolute_error 0.121832 mean_absolute_error 0.134601 mean_absolute_error 0.112054 mean_absolute_error 0.161414 mean_absolute_error 0.127984 mean_absolute_error 0.122849 mean_absolute_error 0.12545 mean_absolute_error 0.174808 mean_absolute_error 0.157378 mean_absolute_error 0.153793 mean_absolute_error 0.15295 mean_absolute_error 0.096709 mean_absolute_error 0.16014 mean_absolute_error 0.132009 mean_absolute_error 0.117749 mean_absolute_error 0.129875 mean_absolute_error 0.141542 mean_absolute_error 0.127593 mean_absolute_error 0.143085 mean_absolute_error 0.143765 mean_absolute_error 0.124784 mean_absolute_error 0.136318 mean_absolute_error 0.152687 mean_absolute_error 0.152281 mean_absolute_error 0.126382 mean_absolute_error 0.145535 mean_absolute_error 0.140174 mean_absolute_error 0.132109 mean_absolute_error 0.111716 mean_absolute_error 0.123428 mean_absolute_error 0.128141 mean_absolute_error 0.149105 mean_absolute_error 0.175385 mean_absolute_error 0.122954 mean_absolute_error 0.121776 mean_absolute_error 0.11838 mean_absolute_error 0.13087 mean_absolute_error 0.122335 mean_absolute_error 0.145331 mean_absolute_error 0.158263 mean_absolute_error 0.135245 mean_absolute_error 0.126684 mean_absolute_error 0.115829 mean_absolute_error 0.141043 mean_absolute_error 0.123885 mean_absolute_error 0.137738 mean_absolute_error 0.164906 mean_absolute_error 0.122941 mean_absolute_error 0.131194 mean_absolute_error 0.146184 mean_absolute_error 0.138799 mean_absolute_error 0.13537 mean_absolute_error 0.131003 mean_absolute_error 0.134115 mean_absolute_error 0.167199 mean_absolute_error 0.104864 mean_absolute_error 0.09982 mean_absolute_error 0.131539 mean_absolute_error 0.110646 mean_absolute_error 0.112827 mean_absolute_error 0.126651 mean_absolute_error 0.107733 mean_absolute_error 0.134581 mean_absolute_error 0.128108 mean_absolute_error 0.137327 mean_absolute_error 0.15688 mean_absolute_error 0.129851 mean_absolute_error 0.140936 mean_absolute_error 0.105147 mean_absolute_error 0.120122 mean_absolute_error 0.132753 mean_absolute_error 0.144746 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 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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 0.732993 [0,0,1,0.714286,0.428571,1,0.75] precision 0.630952 [0,0,0.5,0.75,0.5,1,0.5] precision 0.567687 [0,0,0.5,0.8,0.428571,0.666667,0.25] precision 0.731293 [0,0,1,0.714286,0.571429,0.5,1] precision 0.640212 [0,0,0.666667,0.777778,0.666667,0.666667,0] precision 0.638889 [0,0,1,0.666667,0.375,0.5,1] precision 0.701436 [0,0,1,0.777778,0.714286,0,1] precision 0.740212 [0,0,1,0.777778,0.75,0.4,1] precision 0.904762 [0,0,1,1,0.666667,1,1] precision 0.586546 [0,0,1,0.555556,0.571429,0,1] precision 0.563265 [0,0,1,0.7,0.571429,0.5,0] precision 0.777778 [0,0,0.666667,0.666667,1,0.666667,1] precision 0.705628 [0,0,1,0.545455,1,0.333333,0.666667] precision 0.571429 [0,0,0.5,0.5,0.5,0.5,1] precision 0.755102 [0,0,1,1,0.571429,0.5,0.5] precision 0.531179 [0,0,1,0.833333,0.428571,0,0.25] precision 0.557143 [0,0,1,0.6,0.6,0.375,0] precision 0.708995 [0,0,1,0.666667,0.444444,1,0.666667] precision 0.730159 [0,0,1,0.555556,1,0.5,0.666667] precision 0.761905 [0,0,1,1,0.666667,0,1] precision 0.681818 [0,0,0.5,0.545455,1,0.5,1] precision 0.857143 [0,0,0.5,1,1,1,0.666667] precision 0.671429 [0,0,0.5,0.8,0.8,0.5,0.666667] precision 0.53288 [0,0,0.666667,0.714286,0.571429,0,0.666667] precision 0.769841 [0,0,0.4,1,0.833333,0.6,1] precision 0.37619 [0,0,0.5,0.571429,0.4,0.166667,0] precision 0.749206 [0,0,0.666667,0.833333,0.833333,0.6,1] precision 0.630952 [0,0,0.333333,0.75,0.666667,0.333333,1] precision 0.704762 [0,0,0.5,0.75,0.75,0.6,1] precision 0.714286 [0,0,0.5,1,0.666667,1,0] precision 0.619048 [0,0,0.5,0.857143,0.833333,0,0.5] precision 0.679654 [0,0,1,0.545455,0.333333,1,1] precision 0.610582 [0,0,0.5,0.8,0.444444,0.333333,1] precision 0.69418 [0,0,0.666667,0.777778,1,0.6,0.333333] precision 0.458333 [0,0,0.5,0.875,0.5,0,0] precision 0.459452 [0,0,0.6,0.454545,0.333333,1,0] precision 0.380952 [0,0,0.5,0.666667,0.333333,0.333333,0] precision 0.463492 [0,0,0.666667,0.7,0.5,0.333333,0] precision 0.587302 [0,0,0.5,0.555556,0.666667,0.333333,1] precision 0.793254 [0,0,0.666667,0.875,1,0.4,1] precision 0.511338 [0,0,0.5,0.666667,0.428571,0.5,0.5] precision 0.548753 [0,0,0.5,0.714286,0.571429,0.666667,0] precision 0.68254 [0,0,0.75,0.857143,0.75,0.333333,0.666667] precision 0.624717 [0,0,0.666667,0.714286,0.5,0.5,1] precision 0.619048 [0,0,0.666667,0.666667,0.6,0.333333,1] precision 0.748016 [0,0,0.5,0.875,0.75,1,0.666667] precision 0.615079 [0,0,0.333333,0.75,0.5,0.5,1] precision 0.588435 [0,0,0,0.714286,0.571429,0.5,1] precision 0.787302 [0,0,0.666667,1,0.8,0.4,1] precision 0.730159 [0,0,0.5,1,0.666667,0.5,1] precision 0.616667 [0,0,0.5,0.833333,0.5,0.333333,0.666667] precision 0.8 [0,0,1,1,0.5,0.5,1] precision 0.6625 [0,0,0.75,0.714286,0.5,0.5,1] precision 0.625 [0,0,0.5,0.5,0.666667,0.5,1] precision 0.7 [0,0,1,1,0.4,0.5,0.5] precision 0.76 [0,0,1,0.714286,0.8,0.4,1] precision 0.631667 [0,0,0.666667,1,0.5,0.6,0] precision 0.609524 [0,0,1,0.833333,0.571429,0.5,0] precision 0.5875 [0,0,0.5,0.75,0.8,0.5,0] precision 0.594643 [0,0,0,1,0.428571,0.75,0.25] precision 0.55 [0,0,1,0.428571,0.5,0.166667,1] precision 0.6875 [0,0,1,0.75,0.8,0.333333,0.5] precision 0.72381 [0,0,1,0.714286,0.428571,1,0.666667] precision 0.7375 [0,0,1,0.833333,0.666667,0.5,0.75] precision 0.70625 [0,0,0,0.714286,1,0.375,1] precision 0.8 [0,0,0.666667,0.857143,0.833333,0.5,1] precision 0.638333 [0,0,1,0.8,0.333333,0.5,0.666667] precision 0.6125 [0,0,0.666667,0.666667,0.5,0.25,1] precision 0.864286 [0,0,1,1,0.8,0.428571,1] precision 0.7375 [0,0,1,0.625,1,0.5,0.5] precision 0.851786 [0,0,1,1,0.75,1,0.428571] precision 0.730952 [0,0,0.666667,1,0.6,0.428571,0.666667] precision 0.730952 [0,0,1,0.714286,0.666667,0.5,1] precision 0.745833 [0,0,0.666667,0.833333,1,0.25,0.5] precision 0.525 [0,0,1,0.333333,0.333333,0.5,1] precision 0.8625 [0,0,1,0.75,0.75,1,1] precision 0.72619 [0,0,0.333333,0.714286,0.571429,1,1] precision 0.691667 [0,0,1,0.555556,0.666667,0.5,1] precision 0.565714 [0,0,1,0.8,0.571429,0.285714,0] precision 0.7625 [0,0,0.75,0.833333,0.6,0.666667,1] precision 0.638095 [0,0,1,0.714286,0.428571,0.333333,1] precision 0.502143 [0,0,1,0.7,0.428571,0,0] precision 0.6 [0,0,0,0.5,0.5,1,1] precision 0.86 [0,0,1,1,0.8,0.8,0.5] precision 0.882143 [0,0,1,0.75,0.857143,1,1] precision 0.763333 [0,0,0.666667,0.6,0.666667,1,1] precision 0.90625 [0,0,1,0.875,1,0.666667,1] precision 0.819167 [0,0,1,0.833333,0.8,0.75,0.666667] precision 0.747917 [0,0,0.75,0.625,0.666667,1,1] precision 0.8375 [0,0,1,1,0.8,0.5,0.75] precision 0.607143 [0,0,1,0.666667,0.428571,0.333333,0.666667] precision 0.767857 [0,0,1,0.857143,0.571429,0.5,1] precision 0.591667 [0,0,0.666667,0.75,0.5,0,1] precision 0.6075 [0,0,1,0.7,0.25,1,0] precision 0.675 [0,0,1,0.666667,0.75,0.5,0.5] precision 0.533929 [0,0,1,0.571429,0.625,0,0.5] precision 0.761607 [0,0,1,0.625,0.571429,1,1] precision 0.7125 [0,0,0.75,0.75,0.833333,0.5,0.5] precision 0.7375 [0,0,1,0.75,0.5,1,0.5] precision 0.367143 [0,0,0.5,0.6,0.428571,0,0] predictive_accuracy 0.666667 predictive_accuracy 0.619048 predictive_accuracy 0.52381 predictive_accuracy 0.714286 predictive_accuracy 0.714286 predictive_accuracy 0.571429 predictive_accuracy 0.761905 predictive_accuracy 0.714286 predictive_accuracy 0.857143 predictive_accuracy 0.666667 predictive_accuracy 0.619048 predictive_accuracy 0.761905 predictive_accuracy 0.619048 predictive_accuracy 0.52381 predictive_accuracy 0.714286 predictive_accuracy 0.52381 predictive_accuracy 0.571429 predictive_accuracy 0.619048 predictive_accuracy 0.666667 predictive_accuracy 0.857143 predictive_accuracy 0.619048 predictive_accuracy 0.857143 predictive_accuracy 0.666667 predictive_accuracy 0.619048 predictive_accuracy 0.714286 predictive_accuracy 0.380952 predictive_accuracy 0.761905 predictive_accuracy 0.619048 predictive_accuracy 0.714286 predictive_accuracy 0.666667 predictive_accuracy 0.714286 predictive_accuracy 0.571429 predictive_accuracy 0.571429 predictive_accuracy 0.666667 predictive_accuracy 0.619048 predictive_accuracy 0.47619 predictive_accuracy 0.47619 predictive_accuracy 0.571429 predictive_accuracy 0.571429 predictive_accuracy 0.761905 predictive_accuracy 0.52381 predictive_accuracy 0.619048 predictive_accuracy 0.714286 predictive_accuracy 0.619048 predictive_accuracy 0.619048 predictive_accuracy 0.761905 predictive_accuracy 0.571429 predictive_accuracy 0.619048 predictive_accuracy 0.761905 predictive_accuracy 0.666667 predictive_accuracy 0.6 predictive_accuracy 0.65 predictive_accuracy 0.65 predictive_accuracy 0.6 predictive_accuracy 0.65 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.65 predictive_accuracy 0.65 predictive_accuracy 0.6 predictive_accuracy 0.45 predictive_accuracy 0.7 predictive_accuracy 0.65 predictive_accuracy 0.75 predictive_accuracy 0.65 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.55 predictive_accuracy 0.75 predictive_accuracy 0.65 predictive_accuracy 0.75 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.45 predictive_accuracy 0.85 predictive_accuracy 0.65 predictive_accuracy 0.65 predictive_accuracy 0.55 predictive_accuracy 0.75 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.45 predictive_accuracy 0.85 predictive_accuracy 0.85 predictive_accuracy 0.75 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.75 predictive_accuracy 0.8 predictive_accuracy 0.55 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.55 predictive_accuracy 0.65 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.5 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 0.666667 [0,0,0.666667,0.714286,0.6,0.333333,1] recall 0.619048 [0,0,1,0.857143,0.333333,0.333333,1] recall 0.52381 [0,0,0.5,0.571429,0.5,0.666667,0.333333] recall 0.714286 [0,0,1,0.714286,0.8,0.333333,0.666667] recall 0.714286 [0,0,1,1,0.666667,0.5,0] recall 0.571429 [0,0,1,0.571429,0.5,0.666667,0.333333] recall 0.761905 [0,0,1,1,0.833333,0,0.5] recall 0.714286 [0,0,1,1,0.5,0.5,0.5] recall 0.857143 [0,0,0.5,1,1,0.75,0.5] recall 0.666667 [0,0,1,0.714286,0.666667,0,1] recall 0.619048 [0,0,0.5,1,0.666667,0.333333,0] recall 0.761905 [0,0,1,1,0.666667,0.666667,0.666667] recall 0.619048 [0,0,1,0.857143,0.333333,0.333333,0.666667] recall 0.52381 [0,0,0.666667,0.571429,0.6,0.333333,0.333333] recall 0.714286 [0,0,0.666667,0.857143,0.8,0.5,0.5] recall 0.52381 [0,0,1,0.714286,0.5,0,0.333333] recall 0.571429 [0,0,1,0.5,0.5,0.75,0] recall 0.619048 [0,0,0.5,0.571429,0.8,0.5,0.666667] recall 0.666667 [0,0,1,0.833333,0.5,0.5,0.666667] recall 0.857143 [0,0,1,1,1,0,1] recall 0.619048 [0,0,1,0.857143,0.5,0.333333,0.5] recall 0.857143 [0,0,1,1,0.833333,1,0.666667] recall 0.666667 [0,0,1,0.571429,0.8,0.666667,0.666667] recall 0.619048 [0,0,1,0.714286,0.8,0,0.666667] recall 0.714286 [0,0,0.666667,0.571429,1,1,0.5] recall 0.380952 [0,0,0.5,0.571429,0.333333,0.333333,0] recall 0.761905 [0,0,1,0.833333,0.833333,0.75,0.5] recall 0.619048 [0,0,0.5,0.857143,0.8,0.333333,0.333333] recall 0.714286 [0,0,0.5,1,0.5,1,0.666667] recall 0.666667 [0,0,1,0.571429,1,0.666667,0] recall 0.714286 [0,0,1,0.857143,0.833333,0,1] recall 0.571429 [0,0,0.5,1,0.333333,0.5,0.333333] recall 0.571429 [0,0,0.5,0.571429,0.8,0.333333,0.666667] recall 0.666667 [0,0,1,1,0.2,1,0.333333] recall 0.619048 [0,0,1,1,0.8,0,0] recall 0.47619 [0,0,1,0.714286,0.2,0.333333,0] recall 0.47619 [0,0,0.5,1,0.333333,0.333333,0] recall 0.571429 [0,0,1,1,0.4,0.333333,0] recall 0.571429 [0,0,1,0.833333,0.333333,0.333333,0.666667] recall 0.761905 [0,0,1,1,0.666667,0.666667,0.5] recall 0.52381 [0,0,1,0.571429,0.5,0.333333,0.5] recall 0.619048 [0,0,1,0.714286,0.8,0.5,0] recall 0.714286 [0,0,1,0.857143,0.6,0.333333,1] recall 0.619048 [0,0,1,0.833333,0.666667,0.333333,0.333333] recall 0.619048 [0,0,1,0.857143,0.6,0.333333,0.333333] recall 0.761905 [0,0,0.666667,1,0.6,0.666667,1] recall 0.571429 [0,0,0.5,0.428571,0.8,0.666667,0.666667] recall 0.619048 [0,0,0,0.714286,0.8,0.666667,0.666667] recall 0.761905 [0,0,1,1,0.8,0.666667,0.333333] recall 0.666667 [0,0,1,0.428571,0.8,0.75,1] recall 0.6 [0,0,0.5,0.714286,0.6,0.333333,0.666667] recall 0.65 [0,0,1,0.428571,0.8,1,0.333333] recall 0.65 [0,0,1,0.714286,0.6,0.333333,0.5] recall 0.6 [0,0,0.5,0.5,0.666667,0.666667,0.666667] recall 0.65 [0,0,0.5,0.857143,0.4,1,0.333333] recall 0.7 [0,0,0.5,0.714286,0.8,0.666667,0.666667] recall 0.7 [0,0,1,1,0.4,1,0] recall 0.65 [0,0,1,0.714286,0.8,0.666667,0] recall 0.65 [0,0,1,0.857143,0.8,0.333333,0] recall 0.6 [0,0,0,0.833333,0.6,0.75,0.333333] recall 0.45 [0,0,1,0.428571,0.4,0.333333,0.333333] recall 0.7 [0,0,1,0.857143,0.8,0.333333,0.333333] recall 0.65 [0,0,1,0.714286,0.6,0.25,1] recall 0.75 [0,0,1,0.833333,0.666667,0.333333,1] recall 0.65 [0,0,0,0.714286,0.6,1,0.666667] recall 0.8 [0,0,1,0.857143,1,0.333333,0.666667] recall 0.6 [0,0,1,0.571429,0.4,0.666667,0.666667] recall 0.55 [0,0,1,0.571429,0.6,0.333333,0.333333] recall 0.75 [0,0,0.5,0.857143,0.8,1,0.333333] recall 0.65 [0,0,0.333333,0.833333,0.6,1,0.333333] recall 0.75 [0,0,0.5,0.833333,0.6,0.75,1] recall 0.6 [0,0,1,0.285714,0.6,1,0.666667] recall 0.7 [0,0,1,0.833333,0.8,0.5,0.333333] recall 0.7 [0,0,1,0.714286,0.833333,0.333333,0.5] recall 0.45 [0,0,1,0.5,0.333333,0.333333,0.333333] recall 0.85 [0,0,1,1,0.6,0.75,1] recall 0.65 [0,0,0.5,0.714286,0.8,0.333333,0.666667] recall 0.65 [0,0,1,0.833333,0.333333,0.666667,0.666667] recall 0.55 [0,0,0.5,0.571429,0.8,0.666667,0] recall 0.75 [0,0,1,0.833333,0.6,0.666667,0.666667] recall 0.6 [0,0,1,0.833333,0.6,0.25,0.333333] recall 0.6 [0,0,0.666667,1,0.6,0,0] recall 0.45 [0,0,0,0.333333,0.833333,0.333333,0.333333] recall 0.85 [0,0,1,0.857143,0.8,1,0.5] recall 0.85 [0,0,0.5,1,1,0.666667,0.666667] recall 0.75 [0,0,1,0.5,0.8,0.75,1] recall 0.9 [0,0,1,1,1,0.666667,0.666667] recall 0.8 [0,0,0.666667,0.833333,0.666667,1,1] recall 0.75 [0,0,1,0.714286,0.4,1,1] recall 0.8 [0,0,1,0.714286,0.8,0.666667,1] recall 0.55 [0,0,0.333333,0.666667,0.6,0.333333,0.666667] recall 0.7 [0,0,0.333333,0.857143,0.8,0.666667,0.5] recall 0.6 [0,0,1,1,0.5,0,0.333333] recall 0.55 [0,0,0.5,1,0.4,0.25,0] recall 0.65 [0,0,1,0.666667,0.5,1,0.333333] recall 0.6 [0,0,1,0.666667,0.833333,0,0.333333] recall 0.7 [0,0,1,0.714286,0.8,0.333333,0.666667] recall 0.7 [0,0,1,0.5,0.833333,0.666667,0.5] recall 0.7 [0,0,1,0.857143,0.6,0.333333,0.5] recall 0.5 [0,0,0.5,0.857143,0.6,0,0] relative_absolute_error 0.54366 relative_absolute_error 0.62294 relative_absolute_error 0.744555 relative_absolute_error 0.547127 relative_absolute_error 0.52867 relative_absolute_error 0.695521 relative_absolute_error 0.556114 relative_absolute_error 0.600812 relative_absolute_error 0.548185 relative_absolute_error 0.650342 relative_absolute_error 0.679418 relative_absolute_error 0.64271 relative_absolute_error 0.654165 relative_absolute_error 0.640745 relative_absolute_error 0.608699 relative_absolute_error 0.649577 relative_absolute_error 0.727475 relative_absolute_error 0.67424 relative_absolute_error 0.597841 relative_absolute_error 0.52122 relative_absolute_error 0.573743 relative_absolute_error 0.624486 relative_absolute_error 0.545503 relative_absolute_error 0.633963 relative_absolute_error 0.564422 relative_absolute_error 0.730926 relative_absolute_error 0.589527 relative_absolute_error 0.585025 relative_absolute_error 0.545355 relative_absolute_error 0.60952 relative_absolute_error 0.507417 relative_absolute_error 0.728607 relative_absolute_error 0.575042 relative_absolute_error 0.551969 relative_absolute_error 0.563658 relative_absolute_error 0.784297 relative_absolute_error 0.704472 relative_absolute_error 0.691006 relative_absolute_error 0.684649 relative_absolute_error 0.437932 relative_absolute_error 0.725167 relative_absolute_error 0.598127 relative_absolute_error 0.528293 relative_absolute_error 0.581359 relative_absolute_error 0.63596 relative_absolute_error 0.572461 relative_absolute_error 0.642893 relative_absolute_error 0.645948 relative_absolute_error 0.560663 relative_absolute_error 0.61337 relative_absolute_error 0.695055 relative_absolute_error 0.693206 relative_absolute_error 0.574427 relative_absolute_error 0.659864 relative_absolute_error 0.638093 relative_absolute_error 0.60138 relative_absolute_error 0.50855 relative_absolute_error 0.561863 relative_absolute_error 0.583315 relative_absolute_error 0.67154 relative_absolute_error 0.798377 relative_absolute_error 0.559706 relative_absolute_error 0.555193 relative_absolute_error 0.536742 relative_absolute_error 0.595737 relative_absolute_error 0.556887 relative_absolute_error 0.66157 relative_absolute_error 0.720439 relative_absolute_error 0.615654 relative_absolute_error 0.568832 relative_absolute_error 0.521668 relative_absolute_error 0.642048 relative_absolute_error 0.557953 relative_absolute_error 0.632242 relative_absolute_error 0.747695 relative_absolute_error 0.553702 relative_absolute_error 0.597216 relative_absolute_error 0.662809 relative_absolute_error 0.631831 relative_absolute_error 0.607835 relative_absolute_error 0.59001 relative_absolute_error 0.609578 relative_absolute_error 0.758089 relative_absolute_error 0.478092 relative_absolute_error 0.45259 relative_absolute_error 0.592424 relative_absolute_error 0.503679 relative_absolute_error 0.510786 relative_absolute_error 0.575651 relative_absolute_error 0.490416 relative_absolute_error 0.604293 relative_absolute_error 0.582272 relative_absolute_error 0.622651 relative_absolute_error 0.715237 relative_absolute_error 0.588753 relative_absolute_error 0.639014 relative_absolute_error 0.478643 relative_absolute_error 0.543811 relative_absolute_error 0.603384 relative_absolute_error 0.658906 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 0.241967 root_mean_squared_error 0.252957 root_mean_squared_error 0.317769 root_mean_squared_error 0.231015 root_mean_squared_error 0.249135 root_mean_squared_error 0.29059 root_mean_squared_error 0.248504 root_mean_squared_error 0.259293 root_mean_squared_error 0.231659 root_mean_squared_error 0.304636 root_mean_squared_error 0.284175 root_mean_squared_error 0.258835 root_mean_squared_error 0.291491 root_mean_squared_error 0.290866 root_mean_squared_error 0.265108 root_mean_squared_error 0.296555 root_mean_squared_error 0.290083 root_mean_squared_error 0.277072 root_mean_squared_error 0.255244 root_mean_squared_error 0.227093 root_mean_squared_error 0.251668 root_mean_squared_error 0.254088 root_mean_squared_error 0.238348 root_mean_squared_error 0.265867 root_mean_squared_error 0.266229 root_mean_squared_error 0.312894 root_mean_squared_error 0.246102 root_mean_squared_error 0.257001 root_mean_squared_error 0.241388 root_mean_squared_error 0.261055 root_mean_squared_error 0.241809 root_mean_squared_error 0.308489 root_mean_squared_error 0.272545 root_mean_squared_error 0.243986 root_mean_squared_error 0.279643 root_mean_squared_error 0.328504 root_mean_squared_error 0.324701 root_mean_squared_error 0.281627 root_mean_squared_error 0.293421 root_mean_squared_error 0.211017 root_mean_squared_error 0.307488 root_mean_squared_error 0.269099 root_mean_squared_error 0.243992 root_mean_squared_error 0.260163 root_mean_squared_error 0.261056 root_mean_squared_error 0.246167 root_mean_squared_error 0.278706 root_mean_squared_error 0.288449 root_mean_squared_error 0.251794 root_mean_squared_error 0.260162 root_mean_squared_error 0.291974 root_mean_squared_error 0.285683 root_mean_squared_error 0.252967 root_mean_squared_error 0.287671 root_mean_squared_error 0.279708 root_mean_squared_error 0.260243 root_mean_squared_error 0.220522 root_mean_squared_error 0.265397 root_mean_squared_error 0.287625 root_mean_squared_error 0.305451 root_mean_squared_error 0.334918 root_mean_squared_error 0.259694 root_mean_squared_error 0.232741 root_mean_squared_error 0.234881 root_mean_squared_error 0.244795 root_mean_squared_error 0.247453 root_mean_squared_error 0.290054 root_mean_squared_error 0.300038 root_mean_squared_error 0.243115 root_mean_squared_error 0.243377 root_mean_squared_error 0.220396 root_mean_squared_error 0.262146 root_mean_squared_error 0.250514 root_mean_squared_error 0.270495 root_mean_squared_error 0.317175 root_mean_squared_error 0.234944 root_mean_squared_error 0.282339 root_mean_squared_error 0.263422 root_mean_squared_error 0.283273 root_mean_squared_error 0.263995 root_mean_squared_error 0.256114 root_mean_squared_error 0.270913 root_mean_squared_error 0.301049 root_mean_squared_error 0.223996 root_mean_squared_error 0.214837 root_mean_squared_error 0.251713 root_mean_squared_error 0.220733 root_mean_squared_error 0.23995 root_mean_squared_error 0.244405 root_mean_squared_error 0.226598 root_mean_squared_error 0.261908 root_mean_squared_error 0.266744 root_mean_squared_error 0.271814 root_mean_squared_error 0.300403 root_mean_squared_error 0.246835 root_mean_squared_error 0.285719 root_mean_squared_error 0.234606 root_mean_squared_error 0.252057 root_mean_squared_error 0.260619 root_mean_squared_error 0.297876 root_relative_squared_error 0.727939 root_relative_squared_error 0.762775 root_relative_squared_error 0.964993 root_relative_squared_error 0.694992 root_relative_squared_error 0.75769 root_relative_squared_error 0.882456 root_relative_squared_error 0.753538 root_relative_squared_error 0.788584 root_relative_squared_error 0.704542 root_relative_squared_error 0.925112 root_relative_squared_error 0.862975 root_relative_squared_error 0.771549 root_relative_squared_error 0.885193 root_relative_squared_error 0.87505 root_relative_squared_error 0.798719 root_relative_squared_error 0.900572 root_relative_squared_error 0.870673 root_relative_squared_error 0.835981 root_relative_squared_error 0.767215 root_relative_squared_error 0.689632 root_relative_squared_error 0.75889 root_relative_squared_error 0.757399 root_relative_squared_error 0.713127 root_relative_squared_error 0.795464 root_relative_squared_error 0.795404 root_relative_squared_error 0.943511 root_relative_squared_error 0.73464 root_relative_squared_error 0.768937 root_relative_squared_error 0.719543 root_relative_squared_error 0.787195 root_relative_squared_error 0.72916 root_relative_squared_error 0.927259 root_relative_squared_error 0.815443 root_relative_squared_error 0.729996 root_relative_squared_error 0.83668 root_relative_squared_error 0.981461 root_relative_squared_error 0.967886 root_relative_squared_error 0.842618 root_relative_squared_error 0.874644 root_relative_squared_error 0.636307 root_relative_squared_error 0.92721 root_relative_squared_error 0.811925 root_relative_squared_error 0.728967 root_relative_squared_error 0.775506 root_relative_squared_error 0.78107 root_relative_squared_error 0.735466 root_relative_squared_error 0.833876 root_relative_squared_error 0.863027 root_relative_squared_error 0.753356 root_relative_squared_error 0.779516 root_relative_squared_error 0.885092 root_relative_squared_error 0.866021 root_relative_squared_error 0.765659 root_relative_squared_error 0.868557 root_relative_squared_error 0.847906 root_relative_squared_error 0.7889 root_relative_squared_error 0.668492 root_relative_squared_error 0.804523 root_relative_squared_error 0.871906 root_relative_squared_error 0.91607 root_relative_squared_error 1.01527 root_relative_squared_error 0.787237 root_relative_squared_error 0.706626 root_relative_squared_error 0.709168 root_relative_squared_error 0.742072 root_relative_squared_error 0.750129 root_relative_squared_error 0.87927 root_relative_squared_error 0.909536 root_relative_squared_error 0.736978 root_relative_squared_error 0.727703 root_relative_squared_error 0.660983 root_relative_squared_error 0.79467 root_relative_squared_error 0.751309 root_relative_squared_error 0.82692 root_relative_squared_error 0.957639 root_relative_squared_error 0.704616 root_relative_squared_error 0.855882 root_relative_squared_error 0.795343 root_relative_squared_error 0.858715 root_relative_squared_error 0.789353 root_relative_squared_error 0.768106 root_relative_squared_error 0.819977 root_relative_squared_error 0.908949 root_relative_squared_error 0.680076 root_relative_squared_error 0.64865 root_relative_squared_error 0.754906 root_relative_squared_error 0.669131 root_relative_squared_error 0.723364 root_relative_squared_error 0.739744 root_relative_squared_error 0.686909 root_relative_squared_error 0.783113 root_relative_squared_error 0.80736 root_relative_squared_error 0.82068 root_relative_squared_error 0.912053 root_relative_squared_error 0.745262 root_relative_squared_error 0.862663 root_relative_squared_error 0.711184 root_relative_squared_error 0.759862 root_relative_squared_error 0.788819 root_relative_squared_error 0.902981 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 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