321154 2 Joaquin Vanschoren 4627 Supervised Classification predictive_accuracy 1080 weka.NBTree(3) 1850 weka.classifiers.trees.NBTree weka weka_3.7.12 1074 desharnais https://www.openml.org/data/download/53957/desharnais.arff -1 1093693 description https://api.openml.org/data/download/1093693/weka_generated_run5496290387874954193.xml -1 1093696 model_readable https://api.openml.org/data/download/1093696/WekaModel_weka.classifiers.trees.NBTree3027897750845707179.model -1 1093695 model_serialized https://api.openml.org/data/download/1093695/WekaSerialized_weka.classifiers.trees.NBTree1062943191447317141.model -1 1093694 predictions https://api.openml.org/data/download/1093694/weka_generated_predictions8303840040848571692.arff area_under_roc_curve 0.695866 [0.716888,0.660932,0.6865] average_cost 0 f_measure 0.678899 [0.781746,0.588764,0.431138] kappa 0.421379 kb_relative_information_score 276.426618 mean_absolute_error 0.268826 mean_prior_absolute_error 0.380364 number_of_instances 810 [460,250,100] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.681988 [0.718978,0.671795,0.537313] predictive_accuracy 0.692593 prior_entropy 1.376474 recall 0.692593 [0.856522,0.524,0.36] relative_absolute_error 0.706758 root_mean_prior_squared_error 0.434785 root_mean_squared_error 0.398426 root_relative_squared_error 0.916375 scimark_benchmark 1348.788839 [815.0656796711249, 999.7172495283804, 543.8044346183661, 1113.1379952308184, 3272.218835586441] total_cost 0 usercpu_time_millis 30 usercpu_time_millis_testing 0 usercpu_time_millis_training 30 area_under_roc_curve 0.810185 [0.825,0.805556,0.75] area_under_roc_curve 0.773148 [0.775,0.694444,1] area_under_roc_curve 0.847222 [0.85,0.833333,0.875] area_under_roc_curve 0.847222 [0.85,0.833333,0.875] area_under_roc_curve 0.888889 [0.9,0.833333,1] area_under_roc_curve 0.74537 [0.725,0.694444,1] area_under_roc_curve 0.333333 [0.425,0.25,0.125] area_under_roc_curve 0.643519 [0.7,0.722222,0.125] area_under_roc_curve 0.435185 [0.45,0.222222,1] area_under_roc_curve 0.671296 [0.825,0.638889,0] area_under_roc_curve 0.565476 [0.566667,0.666667,0.357143] area_under_roc_curve 0.845238 [0.966667,0.5,0.928571] area_under_roc_curve 0.723214 [0.733333,0.916667,0.285714] area_under_roc_curve 0.952381 [0.966667,1,0.785714] area_under_roc_curve 0.803571 [0.833333,0.666667,0.928571] area_under_roc_curve 0.732143 [0.75,0.833333,0.357143] area_under_roc_curve 0.859375 [0.84375,0.833333,1] area_under_roc_curve 0.614583 [0.6,0.708333,0.5] area_under_roc_curve 0.657738 [0.666667,0.75,0.428571] area_under_roc_curve 0.479167 [0.466667,0.25,1] area_under_roc_curve 0.604167 [0.933333,0.083333,0] area_under_roc_curve 0.71875 [0.7,0.625,1] area_under_roc_curve 0.5 [0.5,0.5,0.5] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.732589 [0.71875,0.733333,0.785714] area_under_roc_curve 0.822321 [0.9375,0.633333,0.928571] area_under_roc_curve 0.919643 [0.933333,0.916667,0.857143] area_under_roc_curve 0.407738 [0.4,0.416667,0.428571] area_under_roc_curve 0.919643 [0.933333,0.916667,0.857143] area_under_roc_curve 0.876488 [1,0.541667,0.928571] area_under_roc_curve 0.690476 [0.833333,0.5,0.357143] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.505952 [0.466667,0.5,0.714286] area_under_roc_curve 0.645833 [0.6,0.583333,1] area_under_roc_curve 0.6625 [0.625,0.6,1] area_under_roc_curve 0.975446 [0.96875,1,0.928571] area_under_roc_curve 0.677083 [0.833333,0.625,0] area_under_roc_curve 0.761905 [0.766667,0.666667,0.928571] area_under_roc_curve 0.754464 [0.766667,0.958333,0.285714] area_under_roc_curve 0.815476 [0.833333,1,0.357143] area_under_roc_curve 0.761905 [0.766667,0.666667,0.928571] area_under_roc_curve 0.875 [1,1,0] area_under_roc_curve 0.407738 [0.4,0.416667,0.428571] area_under_roc_curve 0.895833 [0.866667,0.916667,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.868304 [0.96875,0.833333,0.571429] area_under_roc_curve 0.9375 [0.933333,0.916667,1] area_under_roc_curve 0.96875 [0.966667,0.958333,1] area_under_roc_curve 0.78125 [0.766667,0.708333,1] area_under_roc_curve 0.760417 [0.766667,0.625,1] area_under_roc_curve 0.5 [0.5,0.5,0.5] area_under_roc_curve 0.940476 [0.933333,1,0.857143] area_under_roc_curve 0.815476 [0.833333,1,0.357143] area_under_roc_curve 0.702381 [0.666667,1,0.285714] area_under_roc_curve 0.794643 [0.8,0.75,0.857143] area_under_roc_curve 0.699405 [0.7,0.583333,0.928571] area_under_roc_curve 0.815476 [0.833333,1,0.357143] area_under_roc_curve 0.297619 [0.366667,0.166667,0.214286] area_under_roc_curve 0.940476 [0.933333,1,0.857143] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.722321 [0.9375,0.366667,0.928571] area_under_roc_curve 0.507143 [0.5,0.566667,0.357143] area_under_roc_curve 0.500893 [0.4375,0.466667,0.857143] area_under_roc_curve 0.55 [0.5,0.466667,1] area_under_roc_curve 0.834821 [0.866667,0.708333,0.928571] area_under_roc_curve 0.488095 [0.4,0.666667,0.571429] area_under_roc_curve 0.705357 [0.75,0.833333,0.142857] area_under_roc_curve 0.921429 [1,0.933333,0.571429] area_under_roc_curve 0.741071 [0.875,0.666667,0.428571] area_under_roc_curve 0.648214 [0.625,0.8,0.285714] area_under_roc_curve 0.66875 [0.6875,0.533333,1] area_under_roc_curve 0.810714 [0.75,0.9,0.785714] area_under_roc_curve 0.803125 [0.78125,0.766667,1] area_under_roc_curve 0.75 [0.75,0.833333,0.5] area_under_roc_curve 0.797619 [0.9,0.833333,0.214286] area_under_roc_curve 0.8125 [0.8,0.75,1] area_under_roc_curve 0.775 [0.75,0.733333,1] area_under_roc_curve 0.569196 [0.65625,0.333333,0.928571] area_under_roc_curve 0.8875 [0.875,0.866667,1] area_under_roc_curve 0.628125 [0.53125,0.633333,1] area_under_roc_curve 0.600446 [0.46875,0.666667,0.928571] area_under_roc_curve 0.725 [0.75,0.6,1] area_under_roc_curve 0.575 [0.5,0.533333,1] area_under_roc_curve 0.597321 [0.6875,0.366667,0.928571] area_under_roc_curve 0.596726 [0.6,0.708333,0.357143] area_under_roc_curve 0.63244 [0.633333,0.875,0.142857] area_under_roc_curve 0.467411 [0.53125,0.466667,0.214286] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.476786 [0.375,0.7,0.214286] area_under_roc_curve 0.844643 [0.875,0.8,0.857143] area_under_roc_curve 0.907589 [0.96875,0.866667,0.785714] area_under_roc_curve 0.55 [0.5,0.466667,1] area_under_roc_curve 0.616964 [0.5625,0.8,0.285714] area_under_roc_curve 0.864732 [0.96875,0.8,0.642857] area_under_roc_curve 0.693452 [0.8,0.416667,0.714286] area_under_roc_curve 0.53125 [0.5,0.375,1] area_under_roc_curve 0.757589 [0.71875,0.8,0.785714] area_under_roc_curve 0.771875 [0.71875,0.766667,1] area_under_roc_curve 0.720982 [0.78125,0.666667,0.642857] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.634921 [0.8,0.571429,0] f_measure 0.727273 [0.909091,0.666667,0] f_measure 0.666667 [0.8,0.666667,0] f_measure 0.666667 [0.8,0.666667,0] f_measure 0.882828 [0.909091,0.8,1] f_measure 0.740741 [0.833333,0.5,1] f_measure 0.30303 [0.545455,0,0] f_measure 0.72963 [0.833333,0.8,0] f_measure 0.396825 [0.714286,0,0] f_measure 0.727273 [0.909091,0.666667,0] f_measure 0.579545 [0.727273,0.5,0] f_measure 0.532143 [0.571429,0.5,0.4] f_measure 0.7 [0.8,0.8,0] f_measure 0.818182 [0.909091,1,0] f_measure 0.693182 [0.909091,0.5,0] f_measure 0.7 [0.8,0.8,0] f_measure 0.869444 [0.888889,0.8,1] f_measure 0.475 [0.6,0.4,0] f_measure 0.6875 [0.833333,0.666667,0] f_measure 0.579545 [0.727273,0,1] f_measure 0.520833 [0.833333,0,0] f_measure 0.645833 [0.833333,0,1] f_measure 0.480769 [0.769231,0,0] f_measure 1 [1,1,1] f_measure 1 [1,1,1] f_measure 0.4875 [0.6,0.5,0] f_measure 0.761905 [0.857143,0.666667,0.666667] f_measure 0.784722 [0.888889,0.666667,0.5] f_measure 0.416667 [0.666667,0,0] f_measure 0.635417 [0.75,0.666667,0] f_measure 0.875 [1,0.666667,0.666667] f_measure 0.6875 [0.833333,0.666667,0] f_measure 1 [1,1,1] f_measure 0.475 [0.6,0.4,0] f_measure 0.75 [0.8,0.666667,0.666667] f_measure 0.625 [0.571429,0.571429,1] f_measure 0.886905 [0.857143,1,0.666667] f_measure 0.693182 [0.909091,0.5,0] f_measure 0.6875 [0.833333,0.666667,0] f_measure 0.6875 [0.833333,0.666667,0] f_measure 0.818182 [0.909091,1,0] f_measure 0.6875 [0.833333,0.666667,0] f_measure 0.825 [1,0.8,0] f_measure 0.480769 [0.769231,0,0] f_measure 0.579545 [0.727273,0.5,0] f_measure 1 [1,1,1] f_measure 0.694444 [0.888889,0.666667,0] f_measure 0.859848 [0.909091,0.666667,1] f_measure 0.859848 [0.909091,0.666667,1] f_measure 0.859848 [0.909091,0.666667,1] f_measure 0.859848 [0.909091,0.666667,1] f_measure 0.480769 [0.769231,0,0] f_measure 0.818182 [0.909091,1,0] f_measure 0.818182 [0.909091,1,0] f_measure 0.75 [0.8,1,0] f_measure 0.625 [0.8,0.5,0] f_measure 0.6875 [0.833333,0.666667,0] f_measure 0.818182 [0.909091,1,0] f_measure 0.277778 [0.444444,0,0] f_measure 0.818182 [0.909091,1,0] f_measure 0.819444 [0.888889,1,0] f_measure 0.608333 [0.75,0.4,0.666667] f_measure 0.45 [0.6,0.4,0] f_measure 0.375 [0.5,0.333333,0] f_measure 0.347222 [0.444444,0.333333,0] f_measure 0.5 [0.666667,0.333333,0] f_measure 0.5 [0.6,0.5,0] f_measure 0.7 [0.8,0.8,0] f_measure 0.709821 [0.857143,0.75,0] f_measure 0.5875 [0.8,0.5,0] f_measure 0.45 [0.6,0.4,0] f_measure 0.7125 [0.8,0.5,1] f_measure 0.607143 [0.571429,0.857143,0] f_measure 0.758333 [0.75,0.8,0.666667] f_measure 0.551136 [0.727273,0.5,0] f_measure 0.5 [0.571429,0.571429,0] f_measure 0.859848 [0.909091,0.666667,1] f_measure 0.75 [0.75,0.666667,1] f_measure 0.494048 [0.571429,0.333333,0.666667] f_measure 0.488636 [0.727273,0,1] f_measure 0.5 [0.5,0.333333,1] f_measure 0.483333 [0.5,0.4,0.666667] f_measure 0.7125 [0.8,0.5,1] f_measure 0.488636 [0.727273,0,1] f_measure 0.416667 [0.666667,0,0.666667] f_measure 0.579545 [0.727273,0.5,0] f_measure 0.6875 [0.833333,0.666667,0] f_measure 0.272727 [0.545455,0,0] f_measure 1 [1,1,1] f_measure 0.5 [0.5,0.666667,0] f_measure 0.551136 [0.727273,0.5,0] f_measure 0.7 [0.8,0.8,0] f_measure 0.488636 [0.727273,0,1] f_measure 0.633333 [0.666667,0.8,0] f_measure 0.694444 [0.888889,0.666667,0] f_measure 0.625 [0.8,0.5,0] f_measure 0.645833 [0.833333,0,1] f_measure 0.633333 [0.666667,0.8,0] f_measure 0.75 [0.75,0.666667,1] f_measure 0.483333 [0.666667,0.4,0] kappa 0.386364 kappa 0.571429 kappa 0.413043 kappa 0.413043 kappa 0.795455 kappa 0.571429 kappa -0.285714 kappa 0.55 kappa 0 kappa 0.571429 kappa 0.2 kappa 0.304348 kappa 0.515152 kappa 0.733333 kappa 0.466667 kappa 0.529412 kappa 0.783784 kappa 0.030303 kappa 0.407407 kappa 0.225806 kappa 0.111111 kappa 0.428571 kappa 0 kappa 1 kappa 1 kappa 0.111111 kappa 0.609756 kappa 0.589744 kappa -0.142857 kappa 0.4 kappa 0.771429 kappa 0.407407 kappa 1 kappa 0.030303 kappa 0.542857 kappa 0.384615 kappa 0.804878 kappa 0.466667 kappa 0.407407 kappa 0.407407 kappa 0.733333 kappa 0.407407 kappa 0.757576 kappa 0 kappa 0.2 kappa 1 kappa 0.542857 kappa 0.741935 kappa 0.741935 kappa 0.741935 kappa 0.741935 kappa 0 kappa 0.733333 kappa 0.733333 kappa 0.529412 kappa 0.294118 kappa 0.407407 kappa 0.733333 kappa -0.333333 kappa 0.733333 kappa 0.771429 kappa 0.4 kappa 0.058824 kappa -0.052632 kappa -0.142857 kappa 0.111111 kappa 0.058824 kappa 0.529412 kappa 0.567568 kappa 0.333333 kappa 0.058824 kappa 0.555556 kappa 0.384615 kappa 0.6 kappa 0.272727 kappa 0.255814 kappa 0.741935 kappa 0.578947 kappa 0.219512 kappa 0.314286 kappa 0.157895 kappa 0.2 kappa 0.555556 kappa 0.314286 kappa 0.179487 kappa 0.2 kappa 0.407407 kappa -0.212121 kappa 1 kappa 0.157895 kappa 0.272727 kappa 0.529412 kappa 0.314286 kappa 0.351351 kappa 0.542857 kappa 0.294118 kappa 0.428571 kappa 0.351351 kappa 0.578947 kappa 0.135135 kb_relative_information_score 2.646722 kb_relative_information_score 3.491835 kb_relative_information_score 3.787334 kb_relative_information_score 3.733337 kb_relative_information_score 5.167161 kb_relative_information_score 3.657316 kb_relative_information_score -1.070299 kb_relative_information_score 3.631652 kb_relative_information_score 1.231247 kb_relative_information_score 3.193044 kb_relative_information_score 1.311874 kb_relative_information_score 1.537237 kb_relative_information_score 2.350102 kb_relative_information_score 3.803966 kb_relative_information_score 2.189054 kb_relative_information_score 3.251365 kb_relative_information_score 4.917768 kb_relative_information_score 1.154073 kb_relative_information_score 2.646357 kb_relative_information_score 1.851498 kb_relative_information_score 1.120588 kb_relative_information_score 3.192621 kb_relative_information_score 1.50139 kb_relative_information_score 5.574236 kb_relative_information_score 5.298967 kb_relative_information_score 1.278779 kb_relative_information_score 4.197362 kb_relative_information_score 3.257622 kb_relative_information_score 0.411989 kb_relative_information_score 3.008264 kb_relative_information_score 4.490373 kb_relative_information_score 2.502045 kb_relative_information_score 5.80116 kb_relative_information_score 0.240333 kb_relative_information_score 3.183964 kb_relative_information_score 2.991816 kb_relative_information_score 4.481127 kb_relative_information_score 2.582463 kb_relative_information_score 2.630225 kb_relative_information_score 2.191849 kb_relative_information_score 3.72003 kb_relative_information_score 2.769088 kb_relative_information_score 3.592114 kb_relative_information_score 1.259834 kb_relative_information_score 2.90985 kb_relative_information_score 6.399256 kb_relative_information_score 3.384178 kb_relative_information_score 4.163105 kb_relative_information_score 4.600908 kb_relative_information_score 4.042337 kb_relative_information_score 4.014777 kb_relative_information_score 1.50139 kb_relative_information_score 3.71264 kb_relative_information_score 3.72003 kb_relative_information_score 2.689726 kb_relative_information_score 2.743136 kb_relative_information_score 2.969932 kb_relative_information_score 3.72003 kb_relative_information_score -1.708528 kb_relative_information_score 3.760142 kb_relative_information_score 4.667143 kb_relative_information_score 3.162918 kb_relative_information_score 0.982547 kb_relative_information_score 0.358717 kb_relative_information_score 0.275912 kb_relative_information_score 1.323922 kb_relative_information_score 0.713756 kb_relative_information_score 3.023168 kb_relative_information_score 3.327953 kb_relative_information_score 2.034297 kb_relative_information_score 0.943137 kb_relative_information_score 3.735167 kb_relative_information_score 2.713898 kb_relative_information_score 4.233651 kb_relative_information_score 2.297552 kb_relative_information_score 1.143954 kb_relative_information_score 4.708253 kb_relative_information_score 3.995924 kb_relative_information_score 1.489759 kb_relative_information_score 3.396408 kb_relative_information_score 2.405007 kb_relative_information_score 1.762219 kb_relative_information_score 3.490431 kb_relative_information_score 2.906236 kb_relative_information_score 1.728877 kb_relative_information_score 1.869249 kb_relative_information_score 2.002697 kb_relative_information_score -0.098303 kb_relative_information_score 6.160112 kb_relative_information_score 0.660338 kb_relative_information_score 2.229113 kb_relative_information_score 3.636545 kb_relative_information_score 2.915373 kb_relative_information_score 2.178509 kb_relative_information_score 2.991603 kb_relative_information_score 1.273816 kb_relative_information_score 3.437823 kb_relative_information_score 2.304142 kb_relative_information_score 4.138976 kb_relative_information_score 1.522027 mean_absolute_error 0.275781 mean_absolute_error 0.240571 mean_absolute_error 0.251951 mean_absolute_error 0.256179 mean_absolute_error 0.19837 mean_absolute_error 0.26339 mean_absolute_error 0.435063 mean_absolute_error 0.231143 mean_absolute_error 0.328274 mean_absolute_error 0.254822 mean_absolute_error 0.31453 mean_absolute_error 0.338232 mean_absolute_error 0.270742 mean_absolute_error 0.193557 mean_absolute_error 0.271678 mean_absolute_error 0.24556 mean_absolute_error 0.201232 mean_absolute_error 0.321204 mean_absolute_error 0.244562 mean_absolute_error 0.317315 mean_absolute_error 0.3192 mean_absolute_error 0.247472 mean_absolute_error 0.294338 mean_absolute_error 0.140729 mean_absolute_error 0.15848 mean_absolute_error 0.335455 mean_absolute_error 0.235702 mean_absolute_error 0.254194 mean_absolute_error 0.350169 mean_absolute_error 0.263927 mean_absolute_error 0.190969 mean_absolute_error 0.253615 mean_absolute_error 0.129701 mean_absolute_error 0.373009 mean_absolute_error 0.258787 mean_absolute_error 0.294428 mean_absolute_error 0.233318 mean_absolute_error 0.248822 mean_absolute_error 0.245877 mean_absolute_error 0.268651 mean_absolute_error 0.199356 mean_absolute_error 0.235357 mean_absolute_error 0.207698 mean_absolute_error 0.308438 mean_absolute_error 0.263999 mean_absolute_error 0.131187 mean_absolute_error 0.234628 mean_absolute_error 0.20896 mean_absolute_error 0.180181 mean_absolute_error 0.215534 mean_absolute_error 0.216525 mean_absolute_error 0.294338 mean_absolute_error 0.200811 mean_absolute_error 0.199356 mean_absolute_error 0.251392 mean_absolute_error 0.270686 mean_absolute_error 0.2232 mean_absolute_error 0.199356 mean_absolute_error 0.45822 mean_absolute_error 0.197821 mean_absolute_error 0.177288 mean_absolute_error 0.281516 mean_absolute_error 0.353508 mean_absolute_error 0.391066 mean_absolute_error 0.38425 mean_absolute_error 0.305709 mean_absolute_error 0.343681 mean_absolute_error 0.257359 mean_absolute_error 0.246932 mean_absolute_error 0.300735 mean_absolute_error 0.354997 mean_absolute_error 0.252857 mean_absolute_error 0.275632 mean_absolute_error 0.233568 mean_absolute_error 0.282462 mean_absolute_error 0.322528 mean_absolute_error 0.1747 mean_absolute_error 0.243882 mean_absolute_error 0.371907 mean_absolute_error 0.259766 mean_absolute_error 0.313964 mean_absolute_error 0.35171 mean_absolute_error 0.267564 mean_absolute_error 0.285176 mean_absolute_error 0.347174 mean_absolute_error 0.278453 mean_absolute_error 0.281333 mean_absolute_error 0.398923 mean_absolute_error 0.145083 mean_absolute_error 0.385561 mean_absolute_error 0.290727 mean_absolute_error 0.219803 mean_absolute_error 0.284478 mean_absolute_error 0.300307 mean_absolute_error 0.259508 mean_absolute_error 0.320017 mean_absolute_error 0.234626 mean_absolute_error 0.292308 mean_absolute_error 0.238602 mean_absolute_error 0.318966 mean_prior_absolute_error 0.380952 mean_prior_absolute_error 0.380952 mean_prior_absolute_error 0.380952 mean_prior_absolute_error 0.380952 mean_prior_absolute_error 0.380952 mean_prior_absolute_error 0.380952 mean_prior_absolute_error 0.380952 mean_prior_absolute_error 0.380952 mean_prior_absolute_error 0.380952 mean_prior_absolute_error 0.380952 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 number_of_instances 9 [5,3,1] number_of_instances 9 [5,3,1] number_of_instances 9 [5,3,1] number_of_instances 9 [5,3,1] number_of_instances 9 [5,3,1] number_of_instances 9 [5,3,1] number_of_instances 9 [5,3,1] number_of_instances 9 [5,3,1] number_of_instances 9 [5,3,1] number_of_instances 9 [5,3,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] precision 0.611111 [0.8,0.5,0] precision 0.685185 [0.833333,0.666667,0] precision 0.666667 [0.8,0.666667,0] precision 0.666667 [0.8,0.666667,0] precision 0.907407 [0.833333,1,1] precision 0.84127 [0.714286,1,1] precision 0.277778 [0.5,0,0] precision 0.730159 [0.714286,1,0] precision 0.308642 [0.555556,0,0] precision 0.685185 [0.833333,0.666667,0] precision 0.541667 [0.666667,0.5,0] precision 0.78125 [1,0.5,0.25] precision 0.666667 [0.8,0.666667,0] precision 0.770833 [0.833333,1,0] precision 0.645833 [0.833333,0.5,0] precision 0.708333 [0.666667,1,0] precision 0.9 [0.8,1,1] precision 0.458333 [0.6,0.333333,0] precision 0.696429 [0.714286,1,0] precision 0.541667 [0.666667,0,1] precision 0.446429 [0.714286,0,0] precision 0.571429 [0.714286,0,1] precision 0.390625 [0.625,0,0] precision 1 [1,1,1] precision 1 [1,1,1] precision 0.625 [0.5,1,0] precision 0.8125 [1,0.666667,0.5] precision 0.916667 [1,1,0.333333] precision 0.357143 [0.571429,0,0] precision 0.75 [1,0.5,0] precision 0.9375 [1,1,0.5] precision 0.696429 [0.714286,1,0] precision 1 [1,1,1] precision 0.458333 [0.6,0.333333,0] precision 0.8125 [0.8,1,0.5] precision 0.645833 [0.666667,0.5,1] precision 0.9375 [1,1,0.5] precision 0.645833 [0.833333,0.5,0] precision 0.696429 [0.714286,1,0] precision 0.696429 [0.714286,1,0] precision 0.770833 [0.833333,1,0] precision 0.696429 [0.714286,1,0] precision 0.791667 [1,0.666667,0] precision 0.390625 [0.625,0,0] precision 0.541667 [0.666667,0.5,0] precision 1 [1,1,1] precision 0.65 [0.8,0.666667,0] precision 0.895833 [0.833333,1,1] precision 0.895833 [0.833333,1,1] precision 0.895833 [0.833333,1,1] precision 0.895833 [0.833333,1,1] precision 0.390625 [0.625,0,0] precision 0.770833 [0.833333,1,0] precision 0.770833 [0.833333,1,0] precision 0.75 [0.8,1,0] precision 0.625 [0.8,0.5,0] precision 0.696429 [0.714286,1,0] precision 0.770833 [0.833333,1,0] precision 0.3125 [0.5,0,0] precision 0.770833 [0.833333,1,0] precision 0.775 [0.8,1,0] precision 0.625 [0.75,0.5,0.5] precision 0.4375 [0.5,0.5,0] precision 0.375 [0.5,0.333333,0] precision 0.325 [0.4,0.333333,0] precision 0.53125 [0.75,0.25,0] precision 0.5 [0.6,0.5,0] precision 0.708333 [0.666667,1,0] precision 0.725 [1,0.6,0] precision 0.708333 [0.666667,1,0] precision 0.4375 [0.5,0.5,0] precision 0.833333 [0.666667,1,1] precision 0.614583 [0.666667,0.75,0] precision 0.8125 [0.75,1,0.5] precision 0.660714 [0.571429,1,0] precision 0.725 [1,0.4,0] precision 0.895833 [0.833333,1,1] precision 0.75 [0.75,0.666667,1] precision 0.520833 [0.666667,0.333333,0.5] precision 0.410714 [0.571429,0,1] precision 0.5 [0.5,0.333333,1] precision 0.5 [0.5,0.5,0.5] precision 0.833333 [0.666667,1,1] precision 0.410714 [0.571429,0,1] precision 0.3625 [0.6,0,0.5] precision 0.541667 [0.666667,0.5,0] precision 0.696429 [0.714286,1,0] precision 0.214286 [0.428571,0,0] precision 1 [1,1,1] precision 0.5 [0.5,0.666667,0] precision 0.660714 [0.571429,1,0] precision 0.708333 [0.666667,1,0] precision 0.410714 [0.571429,0,1] precision 0.675 [0.6,1,0] precision 0.65 [0.8,0.666667,0] precision 0.625 [0.8,0.5,0] precision 0.571429 [0.714286,0,1] precision 0.675 [0.6,1,0] precision 0.75 [0.75,0.666667,1] precision 0.4875 [0.6,0.5,0] predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.888889 predictive_accuracy 0.777778 predictive_accuracy 0.333333 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.625 predictive_accuracy 0.5 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.5 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.5 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.5 predictive_accuracy 0.625 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 1 predictive_accuracy 0.5 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 1 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 0.625 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.25 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 0.625 predictive_accuracy 0.5 predictive_accuracy 0.375 predictive_accuracy 0.375 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.5 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.5 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.5 predictive_accuracy 0.625 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.5 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.375 predictive_accuracy 1 predictive_accuracy 0.5 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.5 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 recall 0.666667 [0.8,0.666667,0] recall 0.777778 [1,0.666667,0] recall 0.666667 [0.8,0.666667,0] recall 0.666667 [0.8,0.666667,0] recall 0.888889 [1,0.666667,1] recall 0.777778 [1,0.333333,1] recall 0.333333 [0.6,0,0] recall 0.777778 [1,0.666667,0] recall 0.555556 [1,0,0] recall 0.777778 [1,0.666667,0] recall 0.625 [0.8,0.5,0] recall 0.5 [0.4,0.5,1] recall 0.75 [0.8,1,0] recall 0.875 [1,1,0] recall 0.75 [1,0.5,0] recall 0.75 [1,0.666667,0] recall 0.875 [1,0.666667,1] recall 0.5 [0.6,0.5,0] recall 0.75 [1,0.5,0] recall 0.625 [0.8,0,1] recall 0.625 [1,0,0] recall 0.75 [1,0,1] recall 0.625 [1,0,0] recall 1 [1,1,1] recall 1 [1,1,1] recall 0.5 [0.75,0.333333,0] recall 0.75 [0.75,0.666667,1] recall 0.75 [0.8,0.5,1] recall 0.5 [0.8,0,0] recall 0.625 [0.6,1,0] recall 0.875 [1,0.5,1] recall 0.75 [1,0.5,0] recall 1 [1,1,1] recall 0.5 [0.6,0.5,0] recall 0.75 [0.8,0.5,1] recall 0.625 [0.5,0.666667,1] recall 0.875 [0.75,1,1] recall 0.75 [1,0.5,0] recall 0.75 [1,0.5,0] recall 0.75 [1,0.5,0] recall 0.875 [1,1,0] recall 0.75 [1,0.5,0] recall 0.875 [1,1,0] recall 0.625 [1,0,0] recall 0.625 [0.8,0.5,0] recall 1 [1,1,1] recall 0.75 [1,0.666667,0] recall 0.875 [1,0.5,1] recall 0.875 [1,0.5,1] recall 0.875 [1,0.5,1] recall 0.875 [1,0.5,1] recall 0.625 [1,0,0] recall 0.875 [1,1,0] recall 0.875 [1,1,0] recall 0.75 [0.8,1,0] recall 0.625 [0.8,0.5,0] recall 0.75 [1,0.5,0] recall 0.875 [1,1,0] recall 0.25 [0.4,0,0] recall 0.875 [1,1,0] recall 0.875 [1,1,0] recall 0.625 [0.75,0.333333,1] recall 0.5 [0.75,0.333333,0] recall 0.375 [0.5,0.333333,0] recall 0.375 [0.5,0.333333,0] recall 0.5 [0.6,0.5,0] recall 0.5 [0.6,0.5,0] recall 0.75 [1,0.666667,0] recall 0.75 [0.75,1,0] recall 0.625 [1,0.333333,0] recall 0.5 [0.75,0.333333,0] recall 0.75 [1,0.333333,1] recall 0.625 [0.5,1,0] recall 0.75 [0.75,0.666667,1] recall 0.625 [1,0.333333,0] recall 0.5 [0.4,1,0] recall 0.875 [1,0.5,1] recall 0.75 [0.75,0.666667,1] recall 0.5 [0.5,0.333333,1] recall 0.625 [1,0,1] recall 0.5 [0.5,0.333333,1] recall 0.5 [0.5,0.333333,1] recall 0.75 [1,0.333333,1] recall 0.625 [1,0,1] recall 0.5 [0.75,0,1] recall 0.625 [0.8,0.5,0] recall 0.75 [1,0.5,0] recall 0.375 [0.75,0,0] recall 1 [1,1,1] recall 0.5 [0.5,0.666667,0] recall 0.625 [1,0.333333,0] recall 0.75 [1,0.666667,0] recall 0.625 [1,0,1] recall 0.625 [0.75,0.666667,0] recall 0.75 [1,0.666667,0] recall 0.625 [0.8,0.5,0] recall 0.75 [1,0,1] recall 0.625 [0.75,0.666667,0] recall 0.75 [0.75,0.666667,1] recall 0.5 [0.75,0.333333,0] relative_absolute_error 0.723925 relative_absolute_error 0.6315 relative_absolute_error 0.661371 relative_absolute_error 0.672469 relative_absolute_error 0.520722 relative_absolute_error 0.691399 relative_absolute_error 1.142042 relative_absolute_error 0.606751 relative_absolute_error 0.86172 relative_absolute_error 0.668908 relative_absolute_error 0.847716 relative_absolute_error 0.911599 relative_absolute_error 0.729701 relative_absolute_error 0.521671 relative_absolute_error 0.732223 relative_absolute_error 0.626644 relative_absolute_error 0.513523 relative_absolute_error 0.865706 relative_absolute_error 0.659141 relative_absolute_error 0.855222 relative_absolute_error 0.860304 relative_absolute_error 0.666984 relative_absolute_error 0.793296 relative_absolute_error 0.379291 relative_absolute_error 0.427133 relative_absolute_error 0.856048 relative_absolute_error 0.601487 relative_absolute_error 0.685101 relative_absolute_error 0.943771 relative_absolute_error 0.711333 relative_absolute_error 0.514697 relative_absolute_error 0.68354 relative_absolute_error 0.349569 relative_absolute_error 1.005329 relative_absolute_error 0.697478 relative_absolute_error 0.75135 relative_absolute_error 0.595404 relative_absolute_error 0.670623 relative_absolute_error 0.662684 relative_absolute_error 0.724065 relative_absolute_error 0.537302 relative_absolute_error 0.63433 relative_absolute_error 0.559786 relative_absolute_error 0.831298 relative_absolute_error 0.711525 relative_absolute_error 0.334775 relative_absolute_error 0.598747 relative_absolute_error 0.563186 relative_absolute_error 0.485622 relative_absolute_error 0.580904 relative_absolute_error 0.583575 relative_absolute_error 0.793296 relative_absolute_error 0.541223 relative_absolute_error 0.537302 relative_absolute_error 0.677548 relative_absolute_error 0.729549 relative_absolute_error 0.601566 relative_absolute_error 0.537302 relative_absolute_error 1.234989 relative_absolute_error 0.533165 relative_absolute_error 0.452422 relative_absolute_error 0.7184 relative_absolute_error 0.902117 relative_absolute_error 0.99796 relative_absolute_error 0.980567 relative_absolute_error 0.823943 relative_absolute_error 0.926285 relative_absolute_error 0.656753 relative_absolute_error 0.630147 relative_absolute_error 0.767446 relative_absolute_error 0.905916 relative_absolute_error 0.645266 relative_absolute_error 0.703385 relative_absolute_error 0.596043 relative_absolute_error 0.720815 relative_absolute_error 0.869274 relative_absolute_error 0.47085 relative_absolute_error 0.622361 relative_absolute_error 0.949068 relative_absolute_error 0.662895 relative_absolute_error 0.801204 relative_absolute_error 0.897529 relative_absolute_error 0.682797 relative_absolute_error 0.727739 relative_absolute_error 0.885952 relative_absolute_error 0.750483 relative_absolute_error 0.758244 relative_absolute_error 1.01801 relative_absolute_error 0.370237 relative_absolute_error 0.983912 relative_absolute_error 0.741906 relative_absolute_error 0.560914 relative_absolute_error 0.725959 relative_absolute_error 0.766354 relative_absolute_error 0.662238 relative_absolute_error 0.862506 relative_absolute_error 0.632361 relative_absolute_error 0.745941 relative_absolute_error 0.608889 relative_absolute_error 0.813968 root_mean_prior_squared_error 0.435461 root_mean_prior_squared_error 0.435461 root_mean_prior_squared_error 0.435461 root_mean_prior_squared_error 0.435461 root_mean_prior_squared_error 0.435461 root_mean_prior_squared_error 0.435461 root_mean_prior_squared_error 0.435461 root_mean_prior_squared_error 0.435461 root_mean_prior_squared_error 0.435461 root_mean_prior_squared_error 0.435461 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_squared_error 0.416582 root_mean_squared_error 0.355997 root_mean_squared_error 0.360571 root_mean_squared_error 0.358872 root_mean_squared_error 0.287254 root_mean_squared_error 0.362648 root_mean_squared_error 0.595007 root_mean_squared_error 0.376581 root_mean_squared_error 0.50261 root_mean_squared_error 0.37828 root_mean_squared_error 0.428144 root_mean_squared_error 0.490448 root_mean_squared_error 0.367231 root_mean_squared_error 0.270362 root_mean_squared_error 0.368077 root_mean_squared_error 0.376054 root_mean_squared_error 0.293602 root_mean_squared_error 0.412038 root_mean_squared_error 0.374522 root_mean_squared_error 0.483883 root_mean_squared_error 0.448823 root_mean_squared_error 0.360832 root_mean_squared_error 0.445749 root_mean_squared_error 0.168133 root_mean_squared_error 0.183414 root_mean_squared_error 0.48375 root_mean_squared_error 0.395382 root_mean_squared_error 0.340468 root_mean_squared_error 0.495471 root_mean_squared_error 0.381524 root_mean_squared_error 0.317868 root_mean_squared_error 0.369458 root_mean_squared_error 0.150641 root_mean_squared_error 0.50382 root_mean_squared_error 0.373876 root_mean_squared_error 0.431043 root_mean_squared_error 0.285678 root_mean_squared_error 0.380851 root_mean_squared_error 0.358392 root_mean_squared_error 0.381687 root_mean_squared_error 0.296621 root_mean_squared_error 0.363352 root_mean_squared_error 0.29816 root_mean_squared_error 0.454575 root_mean_squared_error 0.377784 root_mean_squared_error 0.150232 root_mean_squared_error 0.356703 root_mean_squared_error 0.281557 root_mean_squared_error 0.259671 root_mean_squared_error 0.303236 root_mean_squared_error 0.302329 root_mean_squared_error 0.445749 root_mean_squared_error 0.27468 root_mean_squared_error 0.296621 root_mean_squared_error 0.36405 root_mean_squared_error 0.376968 root_mean_squared_error 0.360792 root_mean_squared_error 0.296621 root_mean_squared_error 0.607372 root_mean_squared_error 0.273561 root_mean_squared_error 0.261891 root_mean_squared_error 0.412693 root_mean_squared_error 0.506002 root_mean_squared_error 0.552094 root_mean_squared_error 0.527909 root_mean_squared_error 0.425696 root_mean_squared_error 0.477326 root_mean_squared_error 0.372415 root_mean_squared_error 0.345726 root_mean_squared_error 0.443973 root_mean_squared_error 0.483307 root_mean_squared_error 0.39603 root_mean_squared_error 0.420297 root_mean_squared_error 0.361492 root_mean_squared_error 0.412476 root_mean_squared_error 0.476914 root_mean_squared_error 0.279981 root_mean_squared_error 0.375333 root_mean_squared_error 0.541176 root_mean_squared_error 0.377169 root_mean_squared_error 0.441352 root_mean_squared_error 0.503019 root_mean_squared_error 0.371216 root_mean_squared_error 0.423473 root_mean_squared_error 0.521718 root_mean_squared_error 0.429802 root_mean_squared_error 0.382696 root_mean_squared_error 0.566689 root_mean_squared_error 0.166984 root_mean_squared_error 0.557308 root_mean_squared_error 0.422711 root_mean_squared_error 0.329603 root_mean_squared_error 0.434989 root_mean_squared_error 0.432888 root_mean_squared_error 0.361998 root_mean_squared_error 0.479424 root_mean_squared_error 0.363025 root_mean_squared_error 0.425042 root_mean_squared_error 0.377546 root_mean_squared_error 0.440302 root_relative_squared_error 0.956648 root_relative_squared_error 0.817519 root_relative_squared_error 0.828023 root_relative_squared_error 0.824122 root_relative_squared_error 0.659655 root_relative_squared_error 0.832792 root_relative_squared_error 1.366386 root_relative_squared_error 0.864788 root_relative_squared_error 1.154203 root_relative_squared_error 0.868689 root_relative_squared_error 1.009973 root_relative_squared_error 1.156946 root_relative_squared_error 0.866281 root_relative_squared_error 0.637772 root_relative_squared_error 0.868276 root_relative_squared_error 0.839752 root_relative_squared_error 0.655633 root_relative_squared_error 0.971979 root_relative_squared_error 0.88348 root_relative_squared_error 1.141458 root_relative_squared_error 1.058754 root_relative_squared_error 0.851186 root_relative_squared_error 1.051501 root_relative_squared_error 0.396618 root_relative_squared_error 0.432665 root_relative_squared_error 1.080245 root_relative_squared_error 0.882913 root_relative_squared_error 0.803149 root_relative_squared_error 1.168794 root_relative_squared_error 0.899998 root_relative_squared_error 0.749837 root_relative_squared_error 0.871536 root_relative_squared_error 0.355354 root_relative_squared_error 1.188489 root_relative_squared_error 0.881956 root_relative_squared_error 0.962546 root_relative_squared_error 0.637936 root_relative_squared_error 0.89841 root_relative_squared_error 0.845431 root_relative_squared_error 0.900382 root_relative_squared_error 0.699715 root_relative_squared_error 0.857132 root_relative_squared_error 0.703346 root_relative_squared_error 1.072322 root_relative_squared_error 0.891176 root_relative_squared_error 0.335478 root_relative_squared_error 0.796541 root_relative_squared_error 0.66418 root_relative_squared_error 0.612553 root_relative_squared_error 0.71532 root_relative_squared_error 0.713182 root_relative_squared_error 1.051501 root_relative_squared_error 0.647957 root_relative_squared_error 0.699715 root_relative_squared_error 0.858777 root_relative_squared_error 0.88925 root_relative_squared_error 0.851092 root_relative_squared_error 0.699715 root_relative_squared_error 1.432762 root_relative_squared_error 0.645317 root_relative_squared_error 0.58482 root_relative_squared_error 0.921569 root_relative_squared_error 1.129934 root_relative_squared_error 1.232861 root_relative_squared_error 1.178853 root_relative_squared_error 1.004197 root_relative_squared_error 1.125989 root_relative_squared_error 0.831627 root_relative_squared_error 0.772028 root_relative_squared_error 0.99142 root_relative_squared_error 1.079254 root_relative_squared_error 0.884359 root_relative_squared_error 0.93855 root_relative_squared_error 0.807235 root_relative_squared_error 0.921085 root_relative_squared_error 1.125018 root_relative_squared_error 0.660462 root_relative_squared_error 0.838143 root_relative_squared_error 1.20848 root_relative_squared_error 0.842242 root_relative_squared_error 0.985566 root_relative_squared_error 1.123274 root_relative_squared_error 0.828948 root_relative_squared_error 0.945641 root_relative_squared_error 1.165029 root_relative_squared_error 1.013884 root_relative_squared_error 0.902762 root_relative_squared_error 1.265453 root_relative_squared_error 0.372886 root_relative_squared_error 1.244503 root_relative_squared_error 0.94394 root_relative_squared_error 0.736024 root_relative_squared_error 0.971358 root_relative_squared_error 0.966667 root_relative_squared_error 0.808365 root_relative_squared_error 1.130939 root_relative_squared_error 0.85636 root_relative_squared_error 0.949147 root_relative_squared_error 0.843085 root_relative_squared_error 0.983223 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 60 usercpu_time_millis 10 usercpu_time_millis 50 usercpu_time_millis 20 usercpu_time_millis 50 usercpu_time_millis 10 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 50 usercpu_time_millis 30 usercpu_time_millis 50 usercpu_time_millis 60 usercpu_time_millis 50 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 50 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 10 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 50 usercpu_time_millis 70 usercpu_time_millis 30 usercpu_time_millis 10 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 60 usercpu_time_millis 40 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 50 usercpu_time_millis 30 usercpu_time_millis 50 usercpu_time_millis 30 usercpu_time_millis 50 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 50 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 60 usercpu_time_millis 40 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 60 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 60 usercpu_time_millis 20 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 30 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 60 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 60 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