404735 2 Joaquin Vanschoren 4200 Supervised Classification predictive_accuracy 1244 weka.FilteredClassifier_Discretize_J48(4) 2166 weka.classifiers.meta.FilteredClassifier -- -F "weka.filters.supervised.attribute.Discretize -R first-last -precision 6" -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 C 0.25 1068 M 2 1068 F weka.filters.supervised.attribute.Discretize 1244 W weka.classifiers.trees.J48 1244 R first-last 1245 precision 6 1245 weka weka_3.7.12 336 SPECT https://www.openml.org/data/download/52239/phpXxoe1Q -1 1415515 description https://api.openml.org/data/download/1415515/weka_generated_run1861016800648379265.xml -1 1415518 model_readable https://api.openml.org/data/download/1415518/WekaModel_weka.classifiers.meta.FilteredClassifier3476486948795776772.model -1 1415517 model_serialized https://api.openml.org/data/download/1415517/WekaSerialized_weka.classifiers.meta.FilteredClassifier8883499013192651665.model -1 1415516 predictions https://api.openml.org/data/download/1415516/weka_generated_predictions6383302749444098456.arff area_under_roc_curve 0.765226 [0.765226,0.765226] average_cost 0 f_measure 0.797319 [0.494297,0.875933] kappa 0.370551 kb_relative_information_score 479.562739 mean_absolute_error 0.245821 mean_prior_absolute_error 0.328405 number_of_instances 2670 [550,2120] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.794487 [0.517928,0.866236] predictive_accuracy 0.800749 prior_entropy 0.737986 recall 0.800749 [0.472727,0.885849] relative_absolute_error 0.748531 root_mean_prior_squared_error 0.404431 root_mean_squared_error 0.38495 root_relative_squared_error 0.95183 scimark_benchmark 899.110836 [537.8479037370082, 1007.8216252346145, 483.0147548568529, 904.256587866, 1562.613308200353] total_cost 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 area_under_roc_curve 0.795455 [0.795455,0.795455] area_under_roc_curve 0.736364 [0.736364,0.736364] area_under_roc_curve 0.631818 [0.631818,0.631818] area_under_roc_curve 0.618182 [0.618182,0.618182] area_under_roc_curve 0.877273 [0.877273,0.877273] area_under_roc_curve 0.754545 [0.754545,0.754545] area_under_roc_curve 0.722727 [0.722727,0.722727] area_under_roc_curve 0.813636 [0.813636,0.813636] area_under_roc_curve 0.940909 [0.940909,0.940909] area_under_roc_curve 0.836364 [0.836364,0.836364] area_under_roc_curve 0.859091 [0.859091,0.859091] area_under_roc_curve 0.845455 [0.845455,0.845455] area_under_roc_curve 0.809091 [0.809091,0.809091] area_under_roc_curve 0.968182 [0.968182,0.968182] area_under_roc_curve 0.740909 [0.740909,0.740909] area_under_roc_curve 0.854545 [0.854545,0.854545] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.918182 [0.918182,0.918182] area_under_roc_curve 0.572727 [0.572727,0.572727] area_under_roc_curve 0.695455 [0.695455,0.695455] area_under_roc_curve 0.904762 [0.904762,0.904762] area_under_roc_curve 0.789683 [0.789683,0.789683] area_under_roc_curve 0.813492 [0.813492,0.813492] area_under_roc_curve 0.968254 [0.968254,0.968254] area_under_roc_curve 0.710317 [0.710317,0.710317] area_under_roc_curve 0.980159 [0.980159,0.980159] area_under_roc_curve 0.630952 [0.630952,0.630952] area_under_roc_curve 0.857143 [0.857143,0.857143] area_under_roc_curve 0.769841 [0.769841,0.769841] area_under_roc_curve 0.940476 [0.940476,0.940476] area_under_roc_curve 0.84127 [0.84127,0.84127] area_under_roc_curve 0.888889 [0.888889,0.888889] area_under_roc_curve 0.718254 [0.718254,0.718254] area_under_roc_curve 0.706349 [0.706349,0.706349] area_under_roc_curve 0.746032 [0.746032,0.746032] area_under_roc_curve 0.837302 [0.837302,0.837302] area_under_roc_curve 0.857143 [0.857143,0.857143] area_under_roc_curve 0.789683 [0.789683,0.789683] area_under_roc_curve 0.829365 [0.829365,0.829365] area_under_roc_curve 0.793651 [0.793651,0.793651] area_under_roc_curve 0.555556 [0.555556,0.555556] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.896825 [0.896825,0.896825] area_under_roc_curve 0.980159 [0.980159,0.980159] area_under_roc_curve 0.904762 [0.904762,0.904762] area_under_roc_curve 0.912698 [0.912698,0.912698] area_under_roc_curve 0.710317 [0.710317,0.710317] area_under_roc_curve 0.785714 [0.785714,0.785714] area_under_roc_curve 0.630952 [0.630952,0.630952] area_under_roc_curve 0.880952 [0.880952,0.880952] area_under_roc_curve 0.888889 [0.888889,0.888889] area_under_roc_curve 0.738095 [0.738095,0.738095] area_under_roc_curve 0.873016 [0.873016,0.873016] area_under_roc_curve 0.761905 [0.761905,0.761905] area_under_roc_curve 0.722222 [0.722222,0.722222] area_under_roc_curve 0.47619 [0.47619,0.47619] area_under_roc_curve 0.702381 [0.702381,0.702381] area_under_roc_curve 0.944444 [0.944444,0.944444] area_under_roc_curve 0.789683 [0.789683,0.789683] area_under_roc_curve 0.757937 [0.757937,0.757937] area_under_roc_curve 0.924603 [0.924603,0.924603] area_under_roc_curve 0.781746 [0.781746,0.781746] area_under_roc_curve 0.785714 [0.785714,0.785714] area_under_roc_curve 0.920635 [0.920635,0.920635] area_under_roc_curve 0.702381 [0.702381,0.702381] area_under_roc_curve 0.619048 [0.619048,0.619048] area_under_roc_curve 0.793651 [0.793651,0.793651] area_under_roc_curve 0.626984 [0.626984,0.626984] area_under_roc_curve 0.761905 [0.761905,0.761905] area_under_roc_curve 0.702381 [0.702381,0.702381] area_under_roc_curve 0.828571 [0.828571,0.828571] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.771429 [0.771429,0.771429] area_under_roc_curve 0.852381 [0.852381,0.852381] area_under_roc_curve 0.780952 [0.780952,0.780952] area_under_roc_curve 0.609524 [0.609524,0.609524] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.785714 [0.785714,0.785714] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.828571 [0.828571,0.828571] area_under_roc_curve 0.542857 [0.542857,0.542857] area_under_roc_curve 0.657143 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f_measure 0.836554 [0.5,0.913043] f_measure 0.821079 [0.545455,0.883721] f_measure 0.851852 [0.6,0.909091] f_measure 0.781042 [0.285714,0.893617] f_measure 0.781042 [0.285714,0.893617] f_measure 0.895726 [0.8,0.923077] f_measure 0.88513 [0.727273,0.930233] f_measure 0.788095 [0.571429,0.85] f_measure 0.96171 [0.909091,0.976744] f_measure 0.790123 [0.444444,0.888889] f_measure 0.925926 [0.833333,0.952381] f_measure 0.777778 [0.5,0.857143] f_measure 0.920202 [0.8,0.954545] f_measure 0.760606 [0.4,0.863636] f_measure 0.874074 [0.666667,0.933333] f_measure 0.808551 [0.545455,0.883721] f_measure 0.808551 [0.545455,0.883721] f_measure 0.731971 [0.363636,0.837209] f_measure 0.731884 [0.25,0.869565] f_measure 0.777778 [0.5,0.857143] f_measure 0.661939 [0,0.851064] f_measure 0.777778 [0.5,0.857143] f_measure 0.808551 [0.545455,0.883721] f_measure 0.777778 [0.5,0.857143] f_measure 0.777778 [0.5,0.857143] f_measure 0.703704 [0.333333,0.809524] f_measure 0.821256 [0.5,0.913043] f_measure 0.851852 [0.666667,0.904762] f_measure 0.874074 [0.666667,0.933333] f_measure 0.851852 [0.666667,0.904762] f_measure 0.840404 [0.6,0.909091] f_measure 0.642512 [0,0.826087] f_measure 0.731884 [0.25,0.869565] f_measure 0.655391 [0.181818,0.790698] f_measure 0.760606 [0.4,0.863636] f_measure 0.808551 [0.545455,0.883721] f_measure 0.725146 [0.5,0.789474] f_measure 0.85873 [0.714286,0.9] f_measure 0.808551 [0.545455,0.883721] f_measure 0.819679 [0.615385,0.878049] f_measure 0.680808 [0.2,0.818182] f_measure 0.687179 [0.4,0.769231] f_measure 0.85873 [0.714286,0.9] f_measure 0.788095 [0.571429,0.85] f_measure 0.756695 [0.533333,0.820513] f_measure 0.874074 [0.666667,0.933333] f_measure 0.808551 [0.545455,0.883721] f_measure 0.777778 [0.5,0.857143] f_measure 0.790123 [0.444444,0.888889] f_measure 0.840404 [0.6,0.909091] f_measure 0.655391 [0.181818,0.790698] f_measure 0.71746 [0.428571,0.8] f_measure 0.706173 [0.222222,0.844444] f_measure 0.808551 [0.545455,0.883721] f_measure 0.703704 [0.333333,0.809524] f_measure 0.83042 [0.5,0.909091] f_measure 0.83042 [0.5,0.909091] f_measure 0.846154 [0.6,0.904762] f_measure 0.782692 [0.5,0.85] f_measure 0.769231 [0.4,0.857143] f_measure 0.621719 [0.352941,0.685714] f_measure 0.888453 [0.727273,0.926829] f_measure 0.702341 [0,0.869565] f_measure 0.799245 [0.444444,0.883721] f_measure 0.855128 [0.666667,0.9] f_measure 0.692308 [0.2,0.809524] f_measure 0.739724 [0.363636,0.829268] f_measure 0.772894 [0.285714,0.888889] f_measure 0.680473 [0.307692,0.769231] f_measure 0.91521 [0.75,0.954545] f_measure 0.959849 [0.888889,0.976744] f_measure 0.799245 [0.444444,0.883721] f_measure 0.724359 [0.5,0.777778] f_measure 0.923077 [0.8,0.952381] f_measure 0.692308 [0.2,0.809524] f_measure 0.692308 [0.2,0.809524] f_measure 0.879547 [0.666667,0.930233] f_measure 0.83042 [0.5,0.909091] f_measure 0.720069 [0.428571,0.789474] f_measure 0.799245 [0.444444,0.883721] f_measure 0.962818 [0.909091,0.97561] f_measure 0.799245 [0.444444,0.883721] f_measure 0.879547 [0.666667,0.930233] f_measure 0.782692 [0.5,0.85] f_measure 0.739724 [0.363636,0.829268] kappa 0.334975 kappa 0.018182 kappa 0.263636 kappa -0.062992 kappa 0.334975 kappa 0.43038 kappa 0.201183 kappa 0.509091 kappa 0.754545 kappa 0.068966 kappa 0.52071 kappa 0.501845 kappa 0.129032 kappa 0.600985 kappa 0.289474 kappa 0.419355 kappa 0.43038 kappa 0.509091 kappa 0.201183 kappa 0.201183 kappa 0.727273 kappa 0.658228 kappa 0.425532 kappa 0.886076 kappa 0.347826 kappa 0.785714 kappa 0.357143 kappa 0.756757 kappa 0.27027 kappa 0.608696 kappa 0.43038 kappa 0.43038 kappa 0.202532 kappa 0.15625 kappa 0.357143 kappa -0.067797 kappa 0.357143 kappa 0.43038 kappa 0.357143 kappa 0.357143 kappa 0.142857 kappa 0.4375 kappa 0.571429 kappa 0.608696 kappa 0.571429 kappa 0.513514 kappa -0.125 kappa 0.15625 kappa -0.025316 kappa 0.27027 kappa 0.43038 kappa 0.307692 kappa 0.617021 kappa 0.43038 kappa 0.494382 kappa 0.027027 kappa 0.181818 kappa 0.617021 kappa 0.425532 kappa 0.363636 kappa 0.608696 kappa 0.43038 kappa 0.357143 kappa 0.347826 kappa 0.513514 kappa -0.025316 kappa 0.234043 kappa 0.086957 kappa 0.43038 kappa 0.142857 kappa 0.41573 kappa 0.41573 kappa 0.504762 kappa 0.355372 kappa 0.257143 kappa 0.111801 kappa 0.654867 kappa -0.068493 kappa 0.329897 kappa 0.570248 kappa 0.009524 kappa 0.19469 kappa 0.197531 kappa 0.093023 kappa 0.707865 kappa 0.865979 kappa 0.329897 kappa 0.320261 kappa 0.752381 kappa 0.009524 kappa 0.009524 kappa 0.597938 kappa 0.41573 kappa 0.240876 kappa 0.329897 kappa 0.884956 kappa 0.329897 kappa 0.597938 kappa 0.355372 kappa 0.19469 kb_relative_information_score 3.838149 kb_relative_information_score -1.231437 kb_relative_information_score -4.167561 kb_relative_information_score -7.071533 kb_relative_information_score 4.136609 kb_relative_information_score 3.374462 kb_relative_information_score 6.487142 kb_relative_information_score 7.126623 kb_relative_information_score 12.290202 kb_relative_information_score 1.043606 kb_relative_information_score 10.455738 kb_relative_information_score 5.315685 kb_relative_information_score 4.671025 kb_relative_information_score 12.745837 kb_relative_information_score 7.956704 kb_relative_information_score 9.605873 kb_relative_information_score 3.066597 kb_relative_information_score 8.63392 kb_relative_information_score 5.632624 kb_relative_information_score 5.992032 kb_relative_information_score 12.576102 kb_relative_information_score 9.384297 kb_relative_information_score 4.474974 kb_relative_information_score 13.797551 kb_relative_information_score 3.934078 kb_relative_information_score 15.282897 kb_relative_information_score 1.137373 kb_relative_information_score 11.270887 kb_relative_information_score 0.944109 kb_relative_information_score 12.53166 kb_relative_information_score 6.447966 kb_relative_information_score 6.863481 kb_relative_information_score 1.435597 kb_relative_information_score 2.782504 kb_relative_information_score 2.424428 kb_relative_information_score 3.346198 kb_relative_information_score 6.755942 kb_relative_information_score 7.376689 kb_relative_information_score 4.300308 kb_relative_information_score 5.634881 kb_relative_information_score -2.501642 kb_relative_information_score 9.926425 kb_relative_information_score 7.726561 kb_relative_information_score 15.051276 kb_relative_information_score 9.650009 kb_relative_information_score 10.130756 kb_relative_information_score -1.541713 kb_relative_information_score 4.838937 kb_relative_information_score -3.912366 kb_relative_information_score 5.735264 kb_relative_information_score 7.857757 kb_relative_information_score 0.800868 kb_relative_information_score 6.268992 kb_relative_information_score 5.193076 kb_relative_information_score 7.57815 kb_relative_information_score -3.964395 kb_relative_information_score -2.384922 kb_relative_information_score 9.990695 kb_relative_information_score 6.087774 kb_relative_information_score 2.660504 kb_relative_information_score 13.207965 kb_relative_information_score 5.971466 kb_relative_information_score 2.478735 kb_relative_information_score 8.788344 kb_relative_information_score 11.103791 kb_relative_information_score -5.541424 kb_relative_information_score 0.060475 kb_relative_information_score 1.008928 kb_relative_information_score 7.039921 kb_relative_information_score -2.609569 kb_relative_information_score 5.794997 kb_relative_information_score 6.963947 kb_relative_information_score 5.27853 kb_relative_information_score 2.258125 kb_relative_information_score 4.12704 kb_relative_information_score -10.588869 kb_relative_information_score 8.264434 kb_relative_information_score 3.436392 kb_relative_information_score 3.92986 kb_relative_information_score 8.546079 kb_relative_information_score -1.071396 kb_relative_information_score -4.594241 kb_relative_information_score 4.697191 kb_relative_information_score -6.581629 kb_relative_information_score 10.419655 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mean_absolute_error 0.200227 mean_absolute_error 0.186344 mean_absolute_error 0.256052 mean_absolute_error 0.194816 mean_absolute_error 0.224166 mean_absolute_error 0.218231 mean_absolute_error 0.193626 mean_absolute_error 0.218629 mean_absolute_error 0.255888 mean_absolute_error 0.169586 mean_absolute_error 0.262753 mean_absolute_error 0.164155 mean_absolute_error 0.299204 mean_absolute_error 0.197674 mean_absolute_error 0.287745 mean_absolute_error 0.185333 mean_absolute_error 0.244749 mean_absolute_error 0.236473 mean_absolute_error 0.284491 mean_absolute_error 0.26786 mean_absolute_error 0.285582 mean_absolute_error 0.26715 mean_absolute_error 0.248148 mean_absolute_error 0.235015 mean_absolute_error 0.261339 mean_absolute_error 0.251798 mean_absolute_error 0.323185 mean_absolute_error 0.2132 mean_absolute_error 0.233328 mean_absolute_error 0.168357 mean_absolute_error 0.21496 mean_absolute_error 0.202189 mean_absolute_error 0.320988 mean_absolute_error 0.249607 mean_absolute_error 0.329474 mean_absolute_error 0.248167 mean_absolute_error 0.229074 mean_absolute_error 0.296761 mean_absolute_error 0.24184 mean_absolute_error 0.266314 mean_absolute_error 0.226631 mean_absolute_error 0.337449 mean_absolute_error 0.317918 mean_absolute_error 0.206188 mean_absolute_error 0.250994 mean_absolute_error 0.28035 mean_absolute_error 0.184063 mean_absolute_error 0.244294 mean_absolute_error 0.28876 mean_absolute_error 0.220177 mean_absolute_error 0.204448 mean_absolute_error 0.354713 mean_absolute_error 0.295963 mean_absolute_error 0.291571 mean_absolute_error 0.234949 mean_absolute_error 0.3212 mean_absolute_error 0.224226 mean_absolute_error 0.21065 mean_absolute_error 0.229447 mean_absolute_error 0.263201 mean_absolute_error 0.241526 mean_absolute_error 0.373202 mean_absolute_error 0.204522 mean_absolute_error 0.245448 mean_absolute_error 0.234345 mean_absolute_error 0.196299 mean_absolute_error 0.286263 mean_absolute_error 0.33572 mean_absolute_error 0.231038 mean_absolute_error 0.341918 mean_absolute_error 0.187413 mean_absolute_error 0.14131 mean_absolute_error 0.221797 mean_absolute_error 0.324234 mean_absolute_error 0.158839 mean_absolute_error 0.289715 mean_absolute_error 0.322287 mean_absolute_error 0.195738 mean_absolute_error 0.207194 mean_absolute_error 0.310969 mean_absolute_error 0.234453 mean_absolute_error 0.10907 mean_absolute_error 0.264507 mean_absolute_error 0.232963 mean_absolute_error 0.261342 mean_absolute_error 0.284525 mean_prior_absolute_error 0.31626 mean_prior_absolute_error 0.31626 mean_prior_absolute_error 0.31626 mean_prior_absolute_error 0.31626 mean_prior_absolute_error 0.31626 mean_prior_absolute_error 0.31626 mean_prior_absolute_error 0.31626 mean_prior_absolute_error 0.31626 mean_prior_absolute_error 0.31626 mean_prior_absolute_error 0.31626 mean_prior_absolute_error 0.31626 mean_prior_absolute_error 0.31626 mean_prior_absolute_error 0.31626 mean_prior_absolute_error 0.31626 mean_prior_absolute_error 0.31626 mean_prior_absolute_error 0.31626 mean_prior_absolute_error 0.31626 mean_prior_absolute_error 0.31626 mean_prior_absolute_error 0.31626 mean_prior_absolute_error 0.31626 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.337877 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 mean_prior_absolute_error 0.320418 number_of_instances 27 [5,22] number_of_instances 27 [5,22] number_of_instances 27 [5,22] number_of_instances 27 [5,22] number_of_instances 27 [5,22] number_of_instances 27 [5,22] number_of_instances 27 [5,22] number_of_instances 27 [5,22] number_of_instances 27 [5,22] number_of_instances 27 [5,22] number_of_instances 27 [5,22] number_of_instances 27 [5,22] number_of_instances 27 [5,22] number_of_instances 27 [5,22] number_of_instances 27 [5,22] number_of_instances 27 [5,22] number_of_instances 27 [5,22] number_of_instances 27 [5,22] number_of_instances 27 [5,22] number_of_instances 27 [5,22] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 27 [6,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] number_of_instances 26 [5,21] precision 0.801127 [0.5,0.869565] precision 0.703704 [0.2,0.818182] precision 0.777778 [0.4,0.863636] precision 0.678307 [0.142857,0.8] precision 0.801127 [0.5,0.869565] precision 0.829806 [0.5,0.904762] precision 0.777037 [0.5,0.84] precision 0.851852 [0.6,0.909091] precision 0.925926 [0.8,0.954545] precision 0.719404 [0.25,0.826087] precision 0.902222 [1,0.88] precision 0.864522 [0.5,0.947368] precision 0.740741 [0.333333,0.833333] precision 0.88285 [0.75,0.913043] precision 0.874644 [1,0.846154] precision 0.83642 [0.666667,0.875] precision 0.829806 [0.5,0.904762] precision 0.851852 [0.6,0.909091] precision 0.777037 [0.5,0.84] precision 0.777037 [0.5,0.84] precision 0.925926 [0.666667,1] precision 0.884848 [0.8,0.909091] precision 0.807018 [0.5,0.894737] precision 0.964646 [1,0.954545] precision 0.796296 [0.666667,0.833333] precision 0.925926 [0.833333,0.952381] precision 0.777778 [0.5,0.857143] precision 0.932367 [1,0.913043] precision 0.753623 [0.5,0.826087] precision 0.902778 [1,0.875] precision 0.805051 [0.6,0.863636] precision 0.805051 [0.6,0.863636] precision 0.725253 [0.4,0.818182] precision 0.733333 [0.5,0.8] precision 0.777778 [0.5,0.857143] precision 0.598291 [0,0.769231] precision 0.777778 [0.5,0.857143] precision 0.805051 [0.6,0.863636] precision 0.777778 [0.5,0.857143] precision 0.777778 [0.5,0.857143] precision 0.703704 [0.333333,0.809524] precision 0.875556 [1,0.84] precision 0.851852 [0.666667,0.904762] precision 0.902778 [1,0.875] precision 0.851852 [0.666667,0.904762] precision 0.842995 [0.75,0.869565] precision 0.591111 [0,0.76] precision 0.733333 [0.5,0.8] precision 0.645455 [0.2,0.772727] precision 0.753623 [0.5,0.826087] precision 0.805051 [0.6,0.863636] precision 0.775163 [0.4,0.882353] precision 0.875731 [0.625,0.947368] precision 0.805051 [0.6,0.863636] precision 0.826984 [0.571429,0.9] precision 0.664251 [0.25,0.782609] precision 0.722222 [0.333333,0.833333] precision 0.875731 [0.625,0.947368] precision 0.807018 [0.5,0.894737] precision 0.790123 [0.444444,0.888889] precision 0.902778 [1,0.875] precision 0.805051 [0.6,0.863636] precision 0.777778 [0.5,0.857143] precision 0.796296 [0.666667,0.833333] precision 0.842995 [0.75,0.869565] precision 0.645455 [0.2,0.772727] precision 0.738304 [0.375,0.842105] precision 0.689815 [0.333333,0.791667] precision 0.805051 [0.6,0.863636] precision 0.703704 [0.333333,0.809524] precision 0.830546 [0.666667,0.869565] precision 0.830546 [0.666667,0.869565] precision 0.846154 [0.6,0.904762] precision 0.80509 [0.428571,0.894737] precision 0.769231 [0.4,0.857143] precision 0.740385 [0.25,0.857143] precision 0.895513 [0.666667,0.95] precision 0.646154 [0,0.8] precision 0.793706 [0.5,0.863636] precision 0.875072 [0.571429,0.947368] precision 0.692308 [0.2,0.809524] precision 0.750641 [0.333333,0.85] precision 0.769231 [0.5,0.833333] precision 0.721154 [0.25,0.833333] precision 0.929766 [1,0.913043] precision 0.963287 [1,0.954545] precision 0.793706 [0.5,0.863636] precision 0.823776 [0.363636,0.933333] precision 0.923077 [0.8,0.952381] precision 0.692308 [0.2,0.809524] precision 0.692308 [0.2,0.809524] precision 0.878497 [0.75,0.909091] precision 0.830546 [0.666667,0.869565] precision 0.776772 [0.333333,0.882353] precision 0.793706 [0.5,0.863636] precision 0.967949 [0.833333,1] precision 0.793706 [0.5,0.863636] precision 0.878497 [0.75,0.909091] precision 0.80509 [0.428571,0.894737] precision 0.750641 [0.333333,0.85] predictive_accuracy 0.814815 predictive_accuracy 0.703704 predictive_accuracy 0.777778 predictive_accuracy 0.62963 predictive_accuracy 0.814815 predictive_accuracy 0.814815 predictive_accuracy 0.814815 predictive_accuracy 0.851852 predictive_accuracy 0.925926 predictive_accuracy 0.740741 predictive_accuracy 0.888889 predictive_accuracy 0.814815 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.851852 predictive_accuracy 0.851852 predictive_accuracy 0.814815 predictive_accuracy 0.851852 predictive_accuracy 0.814815 predictive_accuracy 0.814815 predictive_accuracy 0.888889 predictive_accuracy 0.888889 predictive_accuracy 0.777778 predictive_accuracy 0.962963 predictive_accuracy 0.814815 predictive_accuracy 0.925926 predictive_accuracy 0.777778 predictive_accuracy 0.925926 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.814815 predictive_accuracy 0.814815 predictive_accuracy 0.740741 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.740741 predictive_accuracy 0.777778 predictive_accuracy 0.814815 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.703704 predictive_accuracy 0.851852 predictive_accuracy 0.851852 predictive_accuracy 0.888889 predictive_accuracy 0.851852 predictive_accuracy 0.851852 predictive_accuracy 0.703704 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.814815 predictive_accuracy 0.703704 predictive_accuracy 0.851852 predictive_accuracy 0.814815 predictive_accuracy 0.814815 predictive_accuracy 0.703704 predictive_accuracy 0.666667 predictive_accuracy 0.851852 predictive_accuracy 0.777778 predictive_accuracy 0.740741 predictive_accuracy 0.888889 predictive_accuracy 0.814815 predictive_accuracy 0.777778 predictive_accuracy 0.814815 predictive_accuracy 0.851852 predictive_accuracy 0.666667 predictive_accuracy 0.703704 predictive_accuracy 0.740741 predictive_accuracy 0.814815 predictive_accuracy 0.703704 predictive_accuracy 0.846154 predictive_accuracy 0.846154 predictive_accuracy 0.846154 predictive_accuracy 0.769231 predictive_accuracy 0.769231 predictive_accuracy 0.576923 predictive_accuracy 0.884615 predictive_accuracy 0.769231 predictive_accuracy 0.807692 predictive_accuracy 0.846154 predictive_accuracy 0.692308 predictive_accuracy 0.730769 predictive_accuracy 0.807692 predictive_accuracy 0.653846 predictive_accuracy 0.923077 predictive_accuracy 0.961538 predictive_accuracy 0.807692 predictive_accuracy 0.692308 predictive_accuracy 0.923077 predictive_accuracy 0.692308 predictive_accuracy 0.692308 predictive_accuracy 0.884615 predictive_accuracy 0.846154 predictive_accuracy 0.692308 predictive_accuracy 0.807692 predictive_accuracy 0.961538 predictive_accuracy 0.807692 predictive_accuracy 0.884615 predictive_accuracy 0.769231 predictive_accuracy 0.730769 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 prior_entropy 0.737986 recall 0.814815 [0.4,0.909091] recall 0.703704 [0.2,0.818182] recall 0.777778 [0.4,0.863636] recall 0.62963 [0.2,0.727273] recall 0.814815 [0.4,0.909091] recall 0.814815 [0.6,0.863636] recall 0.814815 [0.2,0.954545] recall 0.851852 [0.6,0.909091] recall 0.925926 [0.8,0.954545] recall 0.740741 [0.2,0.863636] recall 0.888889 [0.4,1] recall 0.814815 [0.8,0.818182] recall 0.777778 [0.2,0.909091] recall 0.888889 [0.6,0.954545] recall 0.851852 [0.2,1] recall 0.851852 [0.4,0.954545] recall 0.814815 [0.6,0.863636] recall 0.851852 [0.6,0.909091] recall 0.814815 [0.2,0.954545] recall 0.814815 [0.2,0.954545] recall 0.888889 [1,0.857143] recall 0.888889 [0.666667,0.952381] recall 0.777778 [0.666667,0.809524] recall 0.962963 [0.833333,1] recall 0.814815 [0.333333,0.952381] recall 0.925926 [0.833333,0.952381] recall 0.777778 [0.5,0.857143] recall 0.925926 [0.666667,1] recall 0.777778 [0.333333,0.904762] recall 0.888889 [0.5,1] recall 0.814815 [0.5,0.904762] recall 0.814815 [0.5,0.904762] recall 0.740741 [0.333333,0.857143] recall 0.777778 [0.166667,0.952381] recall 0.777778 [0.5,0.857143] recall 0.740741 [0,0.952381] recall 0.777778 [0.5,0.857143] recall 0.814815 [0.5,0.904762] recall 0.777778 [0.5,0.857143] recall 0.777778 [0.5,0.857143] recall 0.703704 [0.333333,0.809524] recall 0.851852 [0.333333,1] recall 0.851852 [0.666667,0.904762] recall 0.888889 [0.5,1] recall 0.851852 [0.666667,0.904762] recall 0.851852 [0.5,0.952381] recall 0.703704 [0,0.904762] recall 0.777778 [0.166667,0.952381] recall 0.666667 [0.166667,0.809524] recall 0.777778 [0.333333,0.904762] recall 0.814815 [0.5,0.904762] recall 0.703704 [0.666667,0.714286] recall 0.851852 [0.833333,0.857143] recall 0.814815 [0.5,0.904762] recall 0.814815 [0.666667,0.857143] recall 0.703704 [0.166667,0.857143] recall 0.666667 [0.5,0.714286] recall 0.851852 [0.833333,0.857143] recall 0.777778 [0.666667,0.809524] recall 0.740741 [0.666667,0.761905] recall 0.888889 [0.5,1] recall 0.814815 [0.5,0.904762] recall 0.777778 [0.5,0.857143] recall 0.814815 [0.333333,0.952381] recall 0.851852 [0.5,0.952381] recall 0.666667 [0.166667,0.809524] recall 0.703704 [0.5,0.761905] recall 0.740741 [0.166667,0.904762] recall 0.814815 [0.5,0.904762] recall 0.703704 [0.333333,0.809524] recall 0.846154 [0.4,0.952381] recall 0.846154 [0.4,0.952381] recall 0.846154 [0.6,0.904762] recall 0.769231 [0.6,0.809524] recall 0.769231 [0.4,0.857143] recall 0.576923 [0.6,0.571429] recall 0.884615 [0.8,0.904762] recall 0.769231 [0,0.952381] recall 0.807692 [0.4,0.904762] recall 0.846154 [0.8,0.857143] recall 0.692308 [0.2,0.809524] recall 0.730769 [0.4,0.809524] recall 0.807692 [0.2,0.952381] recall 0.653846 [0.4,0.714286] recall 0.923077 [0.6,1] recall 0.961538 [0.8,1] recall 0.807692 [0.4,0.904762] recall 0.692308 [0.8,0.666667] recall 0.923077 [0.8,0.952381] recall 0.692308 [0.2,0.809524] recall 0.692308 [0.2,0.809524] recall 0.884615 [0.6,0.952381] recall 0.846154 [0.4,0.952381] recall 0.692308 [0.6,0.714286] recall 0.807692 [0.4,0.904762] recall 0.961538 [1,0.952381] recall 0.807692 [0.4,0.904762] recall 0.884615 [0.6,0.952381] recall 0.769231 [0.6,0.809524] recall 0.730769 [0.4,0.809524] relative_absolute_error 0.764767 relative_absolute_error 0.873116 relative_absolute_error 0.981486 relative_absolute_error 1.044765 relative_absolute_error 0.764297 relative_absolute_error 0.788745 relative_absolute_error 0.685578 relative_absolute_error 0.655783 relative_absolute_error 0.564622 relative_absolute_error 0.827808 relative_absolute_error 0.564159 relative_absolute_error 0.752866 relative_absolute_error 0.722575 relative_absolute_error 0.517895 relative_absolute_error 0.633107 relative_absolute_error 0.58921 relative_absolute_error 0.809623 relative_absolute_error 0.615999 relative_absolute_error 0.708801 relative_absolute_error 0.690037 relative_absolute_error 0.573065 relative_absolute_error 0.647068 relative_absolute_error 0.757341 relative_absolute_error 0.501916 relative_absolute_error 0.777659 relative_absolute_error 0.485843 relative_absolute_error 0.885543 relative_absolute_error 0.585046 relative_absolute_error 0.851626 relative_absolute_error 0.548522 relative_absolute_error 0.724374 relative_absolute_error 0.69988 relative_absolute_error 0.841995 relative_absolute_error 0.792773 relative_absolute_error 0.845224 relative_absolute_error 0.790671 relative_absolute_error 0.734433 relative_absolute_error 0.695565 relative_absolute_error 0.773474 relative_absolute_error 0.745237 relative_absolute_error 0.956517 relative_absolute_error 0.630998 relative_absolute_error 0.69057 relative_absolute_error 0.498279 relative_absolute_error 0.636207 relative_absolute_error 0.59841 relative_absolute_error 0.950014 relative_absolute_error 0.738752 relative_absolute_error 0.97513 relative_absolute_error 0.734489 relative_absolute_error 0.677981 relative_absolute_error 0.878311 relative_absolute_error 0.715764 relative_absolute_error 0.788199 relative_absolute_error 0.670751 relative_absolute_error 0.998733 relative_absolute_error 0.940928 relative_absolute_error 0.610245 relative_absolute_error 0.742856 relative_absolute_error 0.82974 relative_absolute_error 0.544763 relative_absolute_error 0.723026 relative_absolute_error 0.85463 relative_absolute_error 0.651648 relative_absolute_error 0.605095 relative_absolute_error 1.049829 relative_absolute_error 0.87595 relative_absolute_error 0.862949 relative_absolute_error 0.695369 relative_absolute_error 0.950643 relative_absolute_error 0.699792 relative_absolute_error 0.657424 relative_absolute_error 0.716087 relative_absolute_error 0.821431 relative_absolute_error 0.753787 relative_absolute_error 1.164737 relative_absolute_error 0.6383 relative_absolute_error 0.766025 relative_absolute_error 0.731375 relative_absolute_error 0.612634 relative_absolute_error 0.893406 relative_absolute_error 1.047758 relative_absolute_error 0.721053 relative_absolute_error 1.0671 relative_absolute_error 0.584901 relative_absolute_error 0.44102 relative_absolute_error 0.692214 relative_absolute_error 1.01191 relative_absolute_error 0.495724 relative_absolute_error 0.90418 relative_absolute_error 1.005833 relative_absolute_error 0.610885 relative_absolute_error 0.646638 relative_absolute_error 0.970511 relative_absolute_error 0.731711 relative_absolute_error 0.340399 relative_absolute_error 0.825507 relative_absolute_error 0.727061 relative_absolute_error 0.815629 relative_absolute_error 0.887982 root_mean_prior_squared_error 0.389128 root_mean_prior_squared_error 0.389128 root_mean_prior_squared_error 0.389128 root_mean_prior_squared_error 0.389128 root_mean_prior_squared_error 0.389128 root_mean_prior_squared_error 0.389128 root_mean_prior_squared_error 0.389128 root_mean_prior_squared_error 0.389128 root_mean_prior_squared_error 0.389128 root_mean_prior_squared_error 0.389128 root_mean_prior_squared_error 0.389128 root_mean_prior_squared_error 0.389128 root_mean_prior_squared_error 0.389128 root_mean_prior_squared_error 0.389128 root_mean_prior_squared_error 0.389128 root_mean_prior_squared_error 0.389128 root_mean_prior_squared_error 0.389128 root_mean_prior_squared_error 0.389128 root_mean_prior_squared_error 0.389128 root_mean_prior_squared_error 0.389128 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.415977 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_prior_squared_error 0.394433 root_mean_squared_error 0.362267 root_mean_squared_error 0.43102 root_mean_squared_error 0.470226 root_mean_squared_error 0.463981 root_mean_squared_error 0.352566 root_mean_squared_error 0.392785 root_mean_squared_error 0.376909 root_mean_squared_error 0.355755 root_mean_squared_error 0.258609 root_mean_squared_error 0.40804 root_mean_squared_error 0.296446 root_mean_squared_error 0.380243 root_mean_squared_error 0.38571 root_mean_squared_error 0.268563 root_mean_squared_error 0.359572 root_mean_squared_error 0.329909 root_mean_squared_error 0.439337 root_mean_squared_error 0.309792 root_mean_squared_error 0.383173 root_mean_squared_error 0.379553 root_mean_squared_error 0.314327 root_mean_squared_error 0.356624 root_mean_squared_error 0.386419 root_mean_squared_error 0.244919 root_mean_squared_error 0.392737 root_mean_squared_error 0.247141 root_mean_squared_error 0.473473 root_mean_squared_error 0.288392 root_mean_squared_error 0.418391 root_mean_squared_error 0.310748 root_mean_squared_error 0.392305 root_mean_squared_error 0.359775 root_mean_squared_error 0.426361 root_mean_squared_error 0.449466 root_mean_squared_error 0.413541 root_mean_squared_error 0.409143 root_mean_squared_error 0.358049 root_mean_squared_error 0.380694 root_mean_squared_error 0.386587 root_mean_squared_error 0.376624 root_mean_squared_error 0.458103 root_mean_squared_error 0.332066 root_mean_squared_error 0.322761 root_mean_squared_error 0.28392 root_mean_squared_error 0.321467 root_mean_squared_error 0.327466 root_mean_squared_error 0.496983 root_mean_squared_error 0.408923 root_mean_squared_error 0.494919 root_mean_squared_error 0.375212 root_mean_squared_error 0.351441 root_mean_squared_error 0.432239 root_mean_squared_error 0.365459 root_mean_squared_error 0.398924 root_mean_squared_error 0.37927 root_mean_squared_error 0.502775 root_mean_squared_error 0.464201 root_mean_squared_error 0.313469 root_mean_squared_error 0.35961 root_mean_squared_error 0.416264 root_mean_squared_error 0.305072 root_mean_squared_error 0.374641 root_mean_squared_error 0.390267 root_mean_squared_error 0.36343 root_mean_squared_error 0.349569 root_mean_squared_error 0.510638 root_mean_squared_error 0.424499 root_mean_squared_error 0.450277 root_mean_squared_error 0.399226 root_mean_squared_error 0.432481 root_mean_squared_error 0.350242 root_mean_squared_error 0.372083 root_mean_squared_error 0.359111 root_mean_squared_error 0.396444 root_mean_squared_error 0.367461 root_mean_squared_error 0.490832 root_mean_squared_error 0.302747 root_mean_squared_error 0.406128 root_mean_squared_error 0.404109 root_mean_squared_error 0.361086 root_mean_squared_error 0.441029 root_mean_squared_error 0.484266 root_mean_squared_error 0.37932 root_mean_squared_error 0.498206 root_mean_squared_error 0.264236 root_mean_squared_error 0.227303 root_mean_squared_error 0.358851 root_mean_squared_error 0.420397 root_mean_squared_error 0.246112 root_mean_squared_error 0.428733 root_mean_squared_error 0.484787 root_mean_squared_error 0.314885 root_mean_squared_error 0.354615 root_mean_squared_error 0.440691 root_mean_squared_error 0.400443 root_mean_squared_error 0.19116 root_mean_squared_error 0.385675 root_mean_squared_error 0.347547 root_mean_squared_error 0.425825 root_mean_squared_error 0.429592 root_relative_squared_error 0.930972 root_relative_squared_error 1.107656 root_relative_squared_error 1.208411 root_relative_squared_error 1.192362 root_relative_squared_error 0.906041 root_relative_squared_error 1.009399 root_relative_squared_error 0.968599 root_relative_squared_error 0.914238 root_relative_squared_error 0.664586 root_relative_squared_error 1.048601 root_relative_squared_error 0.761823 root_relative_squared_error 0.977168 root_relative_squared_error 0.991218 root_relative_squared_error 0.690167 root_relative_squared_error 0.924046 root_relative_squared_error 0.847817 root_relative_squared_error 1.129029 root_relative_squared_error 0.79612 root_relative_squared_error 0.984697 root_relative_squared_error 0.975395 root_relative_squared_error 0.755637 root_relative_squared_error 0.857317 root_relative_squared_error 0.928943 root_relative_squared_error 0.58878 root_relative_squared_error 0.944133 root_relative_squared_error 0.594122 root_relative_squared_error 1.13822 root_relative_squared_error 0.69329 root_relative_squared_error 1.005803 root_relative_squared_error 0.747033 root_relative_squared_error 0.943093 root_relative_squared_error 0.864891 root_relative_squared_error 1.024964 root_relative_squared_error 1.080508 root_relative_squared_error 0.994145 root_relative_squared_error 0.983571 root_relative_squared_error 0.860743 root_relative_squared_error 0.915181 root_relative_squared_error 0.929348 root_relative_squared_error 0.905397 root_relative_squared_error 1.101271 root_relative_squared_error 0.79828 root_relative_squared_error 0.775911 root_relative_squared_error 0.682537 root_relative_squared_error 0.7728 root_relative_squared_error 0.787223 root_relative_squared_error 1.194738 root_relative_squared_error 0.983043 root_relative_squared_error 1.189775 root_relative_squared_error 0.902003 root_relative_squared_error 0.844858 root_relative_squared_error 1.039093 root_relative_squared_error 0.878556 root_relative_squared_error 0.959006 root_relative_squared_error 0.911759 root_relative_squared_error 1.208662 root_relative_squared_error 1.11593 root_relative_squared_error 0.753574 root_relative_squared_error 0.864495 root_relative_squared_error 1.00069 root_relative_squared_error 0.733387 root_relative_squared_error 0.90063 root_relative_squared_error 0.938194 root_relative_squared_error 0.873678 root_relative_squared_error 0.840356 root_relative_squared_error 1.227564 root_relative_squared_error 1.020486 root_relative_squared_error 1.082456 root_relative_squared_error 0.959732 root_relative_squared_error 1.039677 root_relative_squared_error 0.887963 root_relative_squared_error 0.943336 root_relative_squared_error 0.91045 root_relative_squared_error 1.005098 root_relative_squared_error 0.931619 root_relative_squared_error 1.244398 root_relative_squared_error 0.767551 root_relative_squared_error 1.029651 root_relative_squared_error 1.024532 root_relative_squared_error 0.915456 root_relative_squared_error 1.118133 root_relative_squared_error 1.227753 root_relative_squared_error 0.961685 root_relative_squared_error 1.263093 root_relative_squared_error 0.669914 root_relative_squared_error 0.576278 root_relative_squared_error 0.90979 root_relative_squared_error 1.065825 root_relative_squared_error 0.623964 root_relative_squared_error 1.08696 root_relative_squared_error 1.229074 root_relative_squared_error 0.798324 root_relative_squared_error 0.899049 root_relative_squared_error 1.117278 root_relative_squared_error 1.015237 root_relative_squared_error 0.484645 root_relative_squared_error 0.977796 root_relative_squared_error 0.88113 root_relative_squared_error 1.079588 root_relative_squared_error 1.089138 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 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