339849 2 Joaquin Vanschoren 4523 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_3.7.12 955 tae https://www.openml.org/data/download/53489/tae.arff -1 1166493 description https://api.openml.org/data/download/1166493/weka_generated_run6263079827474280531.xml -1 1166496 model_readable https://api.openml.org/data/download/1166496/WekaModel_weka.classifiers.meta.FilteredClassifier6788502288397694648.model -1 1166495 model_serialized https://api.openml.org/data/download/1166495/WekaSerialized_weka.classifiers.meta.FilteredClassifier4340283339503717691.model -1 1166494 predictions https://api.openml.org/data/download/1166494/weka_generated_predictions2057600727004635545.arff area_under_roc_curve 0.602528 [0.602528,0.602528] average_cost 0 f_measure 0.694723 [0.515284,0.788973] kappa 0.309764 kb_relative_information_score 185.649805 mean_absolute_error 0.402487 mean_prior_absolute_error 0.452192 number_of_instances 1510 [520,990] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.693716 [0.59596,0.745063] predictive_accuracy 0.70596 prior_entropy 0.930817 recall 0.70596 [0.453846,0.838384] relative_absolute_error 0.89008 root_mean_prior_squared_error 0.475167 root_mean_squared_error 0.457937 root_relative_squared_error 0.96374 scimark_benchmark 1309.470782 [816.9745422909959, 969.5371342043437, 531.8186209003572, 1063.0333204739406, 3165.9902944059377] total_cost 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 area_under_roc_curve 0.433333 [0.433333,0.433333] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.766667 [0.766667,0.766667] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.616667 [0.616667,0.616667] area_under_roc_curve 0.566667 [0.566667,0.566667] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.608333 [0.608333,0.608333] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.57 [0.57,0.57] area_under_roc_curve 0.62 [0.62,0.62] area_under_roc_curve 0.58 [0.58,0.58] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.527778 [0.527778,0.527778] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.62037 [0.62037,0.62037] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.509259 [0.509259,0.509259] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.49 [0.49,0.49] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.66 [0.66,0.66] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.48 [0.48,0.48] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.59 [0.59,0.59] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.54 [0.54,0.54] area_under_roc_curve 0.76 [0.76,0.76] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.54 [0.54,0.54] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.83 [0.83,0.83] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.62 [0.62,0.62] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.56 [0.56,0.56] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.58 [0.58,0.58] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.62 [0.62,0.62] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.96 [0.96,0.96] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 0.73 [0.73,0.73] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.58 [0.58,0.58] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.63 [0.63,0.63] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.53 [0.53,0.53] area_under_roc_curve 0.56 [0.56,0.56] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.53 [0.53,0.53] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.73 [0.73,0.73] area_under_roc_curve 0.54 [0.54,0.54] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.45 [0.45,0.45] area_under_roc_curve 0.76 [0.76,0.76] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.685185 [0.685185,0.685185] area_under_roc_curve 0.842593 [0.842593,0.842593] area_under_roc_curve 0.685185 [0.685185,0.685185] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.787037 [0.787037,0.787037] area_under_roc_curve 0.69 [0.69,0.69] area_under_roc_curve 0.759259 [0.759259,0.759259] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.611111 [0.611111,0.611111] area_under_roc_curve 0.68 [0.68,0.68] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.472727 [0.2,0.636364] f_measure 0.480769 [0,0.769231] f_measure 0.691296 [0.615385,0.736842] f_measure 0.808442 [0.727273,0.857143] f_measure 0.604545 [0.4,0.727273] f_measure 0.680736 [0.545455,0.761905] f_measure 0.604545 [0.4,0.727273] f_measure 0.691296 [0.615385,0.736842] f_measure 0.655797 [0.444444,0.782609] f_measure 0.604545 [0.4,0.727273] f_measure 0.6 [0.4,0.7] f_measure 0.673046 [0.545455,0.736842] f_measure 0.656085 [0.444444,0.761905] f_measure 0.712121 [0.5,0.818182] f_measure 0.47619 [0.428571,0.5] f_measure 0.537557 [0.461538,0.588235] f_measure 0.770186 [0.571429,0.869565] f_measure 0.660287 [0.545455,0.736842] f_measure 0.611111 [0.5,0.666667] f_measure 0.533333 [0.533333,0.533333] f_measure 0.712121 [0.5,0.818182] f_measure 0.568182 [0.25,0.727273] f_measure 0.568182 [0.25,0.727273] f_measure 0.616977 [0.285714,0.782609] f_measure 0.733333 [0.6,0.8] f_measure 0.673046 [0.545455,0.736842] f_measure 0.568182 [0.25,0.727273] f_measure 0.712121 [0.5,0.818182] f_measure 0.673046 [0.545455,0.736842] f_measure 0.616977 [0.285714,0.782609] f_measure 0.616977 [0.285714,0.782609] f_measure 0.740741 [0.666667,0.777778] f_measure 0.856061 [0.75,0.909091] f_measure 0.6 [0.4,0.7] f_measure 0.666667 [0.333333,0.833333] f_measure 0.616977 [0.285714,0.782609] f_measure 0.866667 [0.8,0.9] f_measure 0.616977 [0.285714,0.782609] f_measure 0.675716 [0.615385,0.705882] f_measure 0.856061 [0.75,0.909091] f_measure 0.803828 [0.727273,0.842105] f_measure 0.616977 [0.285714,0.782609] f_measure 0.770186 [0.571429,0.869565] f_measure 0.6 [0.4,0.7] f_measure 0.666667 [0.333333,0.833333] f_measure 0.770186 [0.571429,0.869565] f_measure 0.656085 [0.444444,0.761905] f_measure 0.793651 [0.666667,0.857143] f_measure 0.666667 [0.333333,0.833333] f_measure 0.656085 [0.444444,0.761905] f_measure 0.616977 [0.285714,0.782609] f_measure 0.616977 [0.285714,0.782609] f_measure 0.673046 [0.545455,0.736842] f_measure 0.656085 [0.444444,0.761905] f_measure 0.666667 [0.333333,0.833333] f_measure 0.856061 [0.75,0.909091] f_measure 0.656085 [0.444444,0.761905] f_measure 0.934609 [0.909091,0.947368] f_measure 0.666667 [0.333333,0.833333] f_measure 0.793651 [0.666667,0.857143] f_measure 0.866667 [0.8,0.9] f_measure 0.740741 [0.666667,0.777778] f_measure 0.770186 [0.571429,0.869565] f_measure 0.656085 [0.444444,0.761905] f_measure 0.803828 [0.727273,0.842105] f_measure 0.866667 [0.8,0.9] f_measure 0.656085 [0.444444,0.761905] f_measure 0.673046 [0.545455,0.736842] f_measure 0.770186 [0.571429,0.869565] f_measure 0.770186 [0.571429,0.869565] f_measure 0.712121 [0.5,0.818182] f_measure 0.712121 [0.5,0.818182] f_measure 0.616977 [0.285714,0.782609] f_measure 0.6 [0.4,0.7] f_measure 0.656085 [0.444444,0.761905] f_measure 0.656085 [0.444444,0.761905] f_measure 0.6 [0.4,0.7] f_measure 0.568182 [0.25,0.727273] f_measure 0.712121 [0.5,0.818182] f_measure 0.712121 [0.5,0.818182] f_measure 0.793651 [0.666667,0.857143] f_measure 0.793651 [0.666667,0.857143] f_measure 0.6 [0.4,0.7] f_measure 0.666667 [0.333333,0.833333] f_measure 0.666667 [0.333333,0.833333] f_measure 0.5 [0,0.75] f_measure 0.793651 [0.666667,0.857143] f_measure 0.666667 [0.333333,0.833333] f_measure 0.803828 [0.727273,0.842105] f_measure 0.656085 [0.444444,0.761905] f_measure 0.733333 [0.666667,0.777778] f_measure 0.866667 [0.833333,0.888889] f_measure 0.733333 [0.666667,0.777778] f_measure 0.45 [0,0.75] f_measure 0.80181 [0.769231,0.823529] f_measure 0.733333 [0.6,0.8] f_measure 0.796172 [0.727273,0.842105] f_measure 0.803828 [0.727273,0.842105] f_measure 0.634921 [0.444444,0.761905] f_measure 0.733333 [0.6,0.8] kappa -0.142857 kappa 0 kappa 0.354839 kappa 0.586207 kappa 0.142857 kappa 0.310345 kappa 0.142857 kappa 0.354839 kappa 0.259259 kappa 0.142857 kappa 0.1 kappa 0.285714 kappa 0.210526 kappa 0.333333 kappa 0 kappa 0.054054 kappa 0.470588 kappa 0.285714 kappa 0.181818 kappa 0.102564 kappa 0.333333 kappa 0 kappa 0 kappa 0.117647 kappa 0.4 kappa 0.285714 kappa 0 kappa 0.333333 kappa 0.285714 kappa 0.117647 kappa 0.117647 kappa 0.454545 kappa 0.666667 kappa 0.1 kappa 0.25 kappa 0.117647 kappa 0.7 kappa 0.117647 kappa 0.347826 kappa 0.666667 kappa 0.571429 kappa 0.117647 kappa 0.470588 kappa 0.1 kappa 0.25 kappa 0.470588 kappa 0.210526 kappa 0.526316 kappa 0.25 kappa 0.210526 kappa 0.117647 kappa 0.117647 kappa 0.285714 kappa 0.210526 kappa 0.25 kappa 0.666667 kappa 0.210526 kappa 0.857143 kappa 0.25 kappa 0.526316 kappa 0.7 kappa 0.454545 kappa 0.470588 kappa 0.210526 kappa 0.571429 kappa 0.7 kappa 0.210526 kappa 0.285714 kappa 0.470588 kappa 0.470588 kappa 0.333333 kappa 0.333333 kappa 0.117647 kappa 0.1 kappa 0.210526 kappa 0.210526 kappa 0.1 kappa 0 kappa 0.333333 kappa 0.333333 kappa 0.526316 kappa 0.526316 kappa 0.1 kappa 0.25 kappa 0.25 kappa -0.125 kappa 0.526316 kappa 0.25 kappa 0.571429 kappa 0.210526 kappa 0.444444 kappa 0.722222 kappa 0.444444 kappa 0 kappa 0.594595 kappa 0.4 kappa 0.571429 kappa 0.571429 kappa 0.242424 kappa 0.4 kb_relative_information_score -1.435317 kb_relative_information_score 0.627519 kb_relative_information_score 1.847547 kb_relative_information_score 4.1837 kb_relative_information_score 1.012111 kb_relative_information_score 1.933159 kb_relative_information_score 0.561183 kb_relative_information_score 2.067482 kb_relative_information_score 2.25036 kb_relative_information_score 0.877248 kb_relative_information_score 0.129449 kb_relative_information_score 1.122711 kb_relative_information_score 1.208323 kb_relative_information_score 2.476882 kb_relative_information_score -3.065604 kb_relative_information_score -0.466634 kb_relative_information_score 3.371471 kb_relative_information_score 1.856398 kb_relative_information_score 0.001442 kb_relative_information_score -0.826456 kb_relative_information_score 2.424925 kb_relative_information_score 0.121465 kb_relative_information_score 0.056537 kb_relative_information_score 0.801064 kb_relative_information_score 1.841276 kb_relative_information_score 1.246771 kb_relative_information_score -0.032693 kb_relative_information_score 2.424925 kb_relative_information_score 0.371361 kb_relative_information_score 0.674637 kb_relative_information_score 1.10622 kb_relative_information_score 2.417365 kb_relative_information_score 4.431963 kb_relative_information_score -0.029972 kb_relative_information_score 2.473294 kb_relative_information_score 1.359713 kb_relative_information_score 4.296171 kb_relative_information_score 1.359713 kb_relative_information_score 0.356168 kb_relative_information_score 4.362243 kb_relative_information_score 3.104526 kb_relative_information_score 1.359713 kb_relative_information_score 3.220234 kb_relative_information_score 0.045648 kb_relative_information_score 2.399589 kb_relative_information_score 3.371471 kb_relative_information_score 0.52325 kb_relative_information_score 3.458864 kb_relative_information_score 2.399589 kb_relative_information_score 1.119731 kb_relative_information_score 0.674637 kb_relative_information_score 1.359713 kb_relative_information_score 0.977156 kb_relative_information_score 1.302285 kb_relative_information_score 2.494192 kb_relative_information_score 4.431963 kb_relative_information_score 1.302285 kb_relative_information_score 5.186054 kb_relative_information_score 2.494192 kb_relative_information_score 3.458864 kb_relative_information_score 4.383498 kb_relative_information_score 2.22337 kb_relative_information_score 3.371471 kb_relative_information_score 1.208323 kb_relative_information_score 3.304585 kb_relative_information_score 4.235396 kb_relative_information_score 1.302285 kb_relative_information_score 1.246771 kb_relative_information_score 3.516383 kb_relative_information_score 3.516383 kb_relative_information_score 2.424925 kb_relative_information_score 2.191422 kb_relative_information_score 0.674637 kb_relative_information_score -0.012846 kb_relative_information_score 0.52325 kb_relative_information_score 0.634964 kb_relative_information_score 0.010818 kb_relative_information_score 0.015747 kb_relative_information_score 2.424925 kb_relative_information_score 2.35499 kb_relative_information_score 3.489922 kb_relative_information_score 3.141815 kb_relative_information_score -0.089213 kb_relative_information_score 1.719283 kb_relative_information_score 1.798261 kb_relative_information_score 0.195041 kb_relative_information_score 3.440886 kb_relative_information_score 2.494192 kb_relative_information_score 3.304585 kb_relative_information_score 1.302285 kb_relative_information_score 2.862253 kb_relative_information_score 4.920068 kb_relative_information_score 2.862253 kb_relative_information_score 0.486364 kb_relative_information_score 4.135575 kb_relative_information_score 2.358005 kb_relative_information_score 3.973488 kb_relative_information_score 3.407098 kb_relative_information_score 1.552863 kb_relative_information_score 2.263402 mean_absolute_error 0.484375 mean_absolute_error 0.444197 mean_absolute_error 0.416351 mean_absolute_error 0.367359 mean_absolute_error 0.432091 mean_absolute_error 0.413825 mean_absolute_error 0.446121 mean_absolute_error 0.410836 mean_absolute_error 0.405618 mean_absolute_error 0.435536 mean_absolute_error 0.435303 mean_absolute_error 0.414193 mean_absolute_error 0.411499 mean_absolute_error 0.382576 mean_absolute_error 0.513399 mean_absolute_error 0.473778 mean_absolute_error 0.363626 mean_absolute_error 0.421268 mean_absolute_error 0.439111 mean_absolute_error 0.484278 mean_absolute_error 0.383974 mean_absolute_error 0.435256 mean_absolute_error 0.437121 mean_absolute_error 0.425076 mean_absolute_error 0.399803 mean_absolute_error 0.410774 mean_absolute_error 0.43953 mean_absolute_error 0.383974 mean_absolute_error 0.434946 mean_absolute_error 0.428986 mean_absolute_error 0.413876 mean_absolute_error 0.384889 mean_absolute_error 0.341073 mean_absolute_error 0.439864 mean_absolute_error 0.382219 mean_absolute_error 0.407018 mean_absolute_error 0.345142 mean_absolute_error 0.407018 mean_absolute_error 0.435787 mean_absolute_error 0.342857 mean_absolute_error 0.371465 mean_absolute_error 0.407018 mean_absolute_error 0.367329 mean_absolute_error 0.437642 mean_absolute_error 0.384098 mean_absolute_error 0.363626 mean_absolute_error 0.430099 mean_absolute_error 0.361935 mean_absolute_error 0.384098 mean_absolute_error 0.414063 mean_absolute_error 0.428986 mean_absolute_error 0.407018 mean_absolute_error 0.418225 mean_absolute_error 0.408935 mean_absolute_error 0.381669 mean_absolute_error 0.341073 mean_absolute_error 0.408935 mean_absolute_error 0.327156 mean_absolute_error 0.381669 mean_absolute_error 0.361935 mean_absolute_error 0.34292 mean_absolute_error 0.390118 mean_absolute_error 0.363626 mean_absolute_error 0.411499 mean_absolute_error 0.366465 mean_absolute_error 0.346521 mean_absolute_error 0.408935 mean_absolute_error 0.410774 mean_absolute_error 0.359902 mean_absolute_error 0.359902 mean_absolute_error 0.383974 mean_absolute_error 0.39008 mean_absolute_error 0.428986 mean_absolute_error 0.439351 mean_absolute_error 0.430099 mean_absolute_error 0.430199 mean_absolute_error 0.438652 mean_absolute_error 0.438333 mean_absolute_error 0.383974 mean_absolute_error 0.385784 mean_absolute_error 0.361086 mean_absolute_error 0.369912 mean_absolute_error 0.441682 mean_absolute_error 0.406699 mean_absolute_error 0.403968 mean_absolute_error 0.432928 mean_absolute_error 0.362346 mean_absolute_error 0.381669 mean_absolute_error 0.366465 mean_absolute_error 0.408935 mean_absolute_error 0.399663 mean_absolute_error 0.355353 mean_absolute_error 0.399663 mean_absolute_error 0.454867 mean_absolute_error 0.371129 mean_absolute_error 0.386185 mean_absolute_error 0.375074 mean_absolute_error 0.363772 mean_absolute_error 0.431702 mean_absolute_error 0.388614 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.448802 number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [6,9] number_of_instances 15 [5,10] number_of_instances 15 [6,9] number_of_instances 15 [5,10] number_of_instances 15 [6,9] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [6,9] number_of_instances 15 [6,9] number_of_instances 15 [6,9] number_of_instances 15 [6,9] number_of_instances 15 [6,9] number_of_instances 15 [5,10] number_of_instances 15 [6,9] number_of_instances 15 [5,10] number_of_instances 15 [6,9] number_of_instances 15 [5,10] precision 0.458333 [0.25,0.583333] precision 0.390625 [0,0.625] precision 0.700397 [0.571429,0.777778] precision 0.811364 [0.8,0.818182] precision 0.604167 [0.5,0.666667] precision 0.679545 [0.6,0.727273] precision 0.604167 [0.5,0.666667] precision 0.700397 [0.571429,0.777778] precision 0.682692 [0.666667,0.692308] precision 0.604167 [0.5,0.666667] precision 0.6 [0.4,0.7] precision 0.685185 [0.5,0.777778] precision 0.651515 [0.5,0.727273] precision 0.722222 [0.666667,0.75] precision 0.555556 [0.333333,0.666667] precision 0.546429 [0.428571,0.625] precision 0.846154 [1,0.769231] precision 0.66 [0.6,0.7] precision 0.642857 [0.428571,0.75] precision 0.577778 [0.444444,0.666667] precision 0.722222 [0.666667,0.75] precision 0.555556 [0.333333,0.666667] precision 0.555556 [0.333333,0.666667] precision 0.628205 [0.5,0.692308] precision 0.733333 [0.6,0.8] precision 0.685185 [0.5,0.777778] precision 0.555556 [0.333333,0.666667] precision 0.722222 [0.666667,0.75] precision 0.685185 [0.5,0.777778] precision 0.628205 [0.5,0.692308] precision 0.628205 [0.5,0.692308] precision 0.77381 [0.571429,0.875] precision 0.888889 [1,0.833333] precision 0.6 [0.4,0.7] precision 0.809524 [1,0.714286] precision 0.628205 [0.5,0.692308] precision 0.866667 [0.8,0.9] precision 0.628205 [0.5,0.692308] precision 0.738095 [0.5,0.857143] precision 0.888889 [1,0.833333] precision 0.814815 [0.666667,0.888889] precision 0.628205 [0.5,0.692308] precision 0.846154 [1,0.769231] precision 0.6 [0.4,0.7] precision 0.809524 [1,0.714286] precision 0.846154 [1,0.769231] precision 0.651515 [0.5,0.727273] precision 0.795455 [0.75,0.818182] precision 0.809524 [1,0.714286] precision 0.651515 [0.5,0.727273] precision 0.628205 [0.5,0.692308] precision 0.628205 [0.5,0.692308] precision 0.685185 [0.5,0.777778] precision 0.651515 [0.5,0.727273] precision 0.809524 [1,0.714286] precision 0.888889 [1,0.833333] precision 0.651515 [0.5,0.727273] precision 0.944444 [0.833333,1] precision 0.809524 [1,0.714286] precision 0.795455 [0.75,0.818182] precision 0.866667 [0.8,0.9] precision 0.77381 [0.571429,0.875] precision 0.846154 [1,0.769231] precision 0.651515 [0.5,0.727273] precision 0.814815 [0.666667,0.888889] precision 0.866667 [0.8,0.9] precision 0.651515 [0.5,0.727273] precision 0.685185 [0.5,0.777778] precision 0.846154 [1,0.769231] precision 0.846154 [1,0.769231] precision 0.722222 [0.666667,0.75] precision 0.722222 [0.666667,0.75] precision 0.628205 [0.5,0.692308] precision 0.6 [0.4,0.7] precision 0.651515 [0.5,0.727273] precision 0.651515 [0.5,0.727273] precision 0.6 [0.4,0.7] precision 0.555556 [0.333333,0.666667] precision 0.722222 [0.666667,0.75] precision 0.722222 [0.666667,0.75] precision 0.795455 [0.75,0.818182] precision 0.795455 [0.75,0.818182] precision 0.6 [0.4,0.7] precision 0.809524 [1,0.714286] precision 0.809524 [1,0.714286] precision 0.428571 [0,0.642857] precision 0.795455 [0.75,0.818182] precision 0.809524 [1,0.714286] precision 0.814815 [0.666667,0.888889] precision 0.651515 [0.5,0.727273] precision 0.733333 [0.666667,0.777778] precision 0.866667 [0.833333,0.888889] precision 0.733333 [0.666667,0.777778] precision 0.36 [0,0.6] precision 0.810714 [0.714286,0.875] precision 0.733333 [0.6,0.8] precision 0.8 [0.8,0.8] precision 0.814815 [0.666667,0.888889] precision 0.666667 [0.666667,0.666667] precision 0.733333 [0.6,0.8] predictive_accuracy 0.5 predictive_accuracy 0.625 predictive_accuracy 0.6875 predictive_accuracy 0.8125 predictive_accuracy 0.625 predictive_accuracy 0.6875 predictive_accuracy 0.625 predictive_accuracy 0.6875 predictive_accuracy 0.6875 predictive_accuracy 0.625 predictive_accuracy 0.6 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.466667 predictive_accuracy 0.533333 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.6 predictive_accuracy 0.533333 predictive_accuracy 0.733333 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.6 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.6 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.933333 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.6 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.733333 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 recall 0.5 [0.166667,0.7] recall 0.625 [0,1] recall 0.6875 [0.666667,0.7] recall 0.8125 [0.666667,0.9] recall 0.625 [0.333333,0.8] recall 0.6875 [0.5,0.8] recall 0.625 [0.333333,0.8] recall 0.6875 [0.666667,0.7] recall 0.6875 [0.333333,0.9] recall 0.625 [0.333333,0.8] recall 0.6 [0.4,0.7] recall 0.666667 [0.6,0.7] recall 0.666667 [0.4,0.8] recall 0.733333 [0.4,0.9] recall 0.466667 [0.6,0.4] recall 0.533333 [0.5,0.555556] recall 0.8 [0.4,1] recall 0.666667 [0.5,0.777778] recall 0.6 [0.6,0.6] recall 0.533333 [0.666667,0.444444] recall 0.733333 [0.4,0.9] recall 0.6 [0.2,0.8] recall 0.6 [0.2,0.8] recall 0.666667 [0.2,0.9] recall 0.733333 [0.6,0.8] recall 0.666667 [0.6,0.7] recall 0.6 [0.2,0.8] recall 0.733333 [0.4,0.9] recall 0.666667 [0.6,0.7] recall 0.666667 [0.2,0.9] recall 0.666667 [0.2,0.9] recall 0.733333 [0.8,0.7] recall 0.866667 [0.6,1] recall 0.6 [0.4,0.7] recall 0.733333 [0.2,1] recall 0.666667 [0.2,0.9] recall 0.866667 [0.8,0.9] recall 0.666667 [0.2,0.9] recall 0.666667 [0.8,0.6] recall 0.866667 [0.6,1] recall 0.8 [0.8,0.8] recall 0.666667 [0.2,0.9] recall 0.8 [0.4,1] recall 0.6 [0.4,0.7] recall 0.733333 [0.2,1] recall 0.8 [0.4,1] recall 0.666667 [0.4,0.8] recall 0.8 [0.6,0.9] recall 0.733333 [0.2,1] recall 0.666667 [0.4,0.8] recall 0.666667 [0.2,0.9] recall 0.666667 [0.2,0.9] recall 0.666667 [0.6,0.7] recall 0.666667 [0.4,0.8] recall 0.733333 [0.2,1] recall 0.866667 [0.6,1] recall 0.666667 [0.4,0.8] recall 0.933333 [1,0.9] recall 0.733333 [0.2,1] recall 0.8 [0.6,0.9] recall 0.866667 [0.8,0.9] recall 0.733333 [0.8,0.7] recall 0.8 [0.4,1] recall 0.666667 [0.4,0.8] recall 0.8 [0.8,0.8] recall 0.866667 [0.8,0.9] recall 0.666667 [0.4,0.8] recall 0.666667 [0.6,0.7] recall 0.8 [0.4,1] recall 0.8 [0.4,1] recall 0.733333 [0.4,0.9] recall 0.733333 [0.4,0.9] recall 0.666667 [0.2,0.9] recall 0.6 [0.4,0.7] recall 0.666667 [0.4,0.8] recall 0.666667 [0.4,0.8] recall 0.6 [0.4,0.7] recall 0.6 [0.2,0.8] recall 0.733333 [0.4,0.9] recall 0.733333 [0.4,0.9] recall 0.8 [0.6,0.9] recall 0.8 [0.6,0.9] recall 0.6 [0.4,0.7] recall 0.733333 [0.2,1] recall 0.733333 [0.2,1] recall 0.6 [0,0.9] recall 0.8 [0.6,0.9] recall 0.733333 [0.2,1] recall 0.8 [0.8,0.8] recall 0.666667 [0.4,0.8] recall 0.733333 [0.666667,0.777778] recall 0.866667 [0.833333,0.888889] recall 0.733333 [0.666667,0.777778] recall 0.6 [0,1] recall 0.8 [0.833333,0.777778] recall 0.733333 [0.6,0.8] recall 0.8 [0.666667,0.888889] recall 0.8 [0.8,0.8] recall 0.666667 [0.333333,0.888889] recall 0.733333 [0.6,0.8] relative_absolute_error 1.049336 relative_absolute_error 0.962295 relative_absolute_error 0.901971 relative_absolute_error 0.795836 relative_absolute_error 0.93607 relative_absolute_error 0.896499 relative_absolute_error 0.966463 relative_absolute_error 0.890024 relative_absolute_error 0.878718 relative_absolute_error 0.943534 relative_absolute_error 0.969922 relative_absolute_error 0.922887 relative_absolute_error 0.916883 relative_absolute_error 0.852438 relative_absolute_error 1.143932 relative_absolute_error 1.009582 relative_absolute_error 0.810215 relative_absolute_error 0.897687 relative_absolute_error 0.978408 relative_absolute_error 1.031957 relative_absolute_error 0.855555 relative_absolute_error 0.969819 relative_absolute_error 0.973974 relative_absolute_error 0.947136 relative_absolute_error 0.890824 relative_absolute_error 0.915269 relative_absolute_error 0.979341 relative_absolute_error 0.855555 relative_absolute_error 0.969127 relative_absolute_error 0.955847 relative_absolute_error 0.922179 relative_absolute_error 0.857592 relative_absolute_error 0.759963 relative_absolute_error 0.980085 relative_absolute_error 0.851643 relative_absolute_error 0.906899 relative_absolute_error 0.76903 relative_absolute_error 0.906899 relative_absolute_error 0.971001 relative_absolute_error 0.763939 relative_absolute_error 0.827681 relative_absolute_error 0.906899 relative_absolute_error 0.818467 relative_absolute_error 0.975134 relative_absolute_error 0.855831 relative_absolute_error 0.810215 relative_absolute_error 0.958327 relative_absolute_error 0.806447 relative_absolute_error 0.855831 relative_absolute_error 0.922596 relative_absolute_error 0.955847 relative_absolute_error 0.906899 relative_absolute_error 0.931871 relative_absolute_error 0.91117 relative_absolute_error 0.850418 relative_absolute_error 0.759963 relative_absolute_error 0.91117 relative_absolute_error 0.728955 relative_absolute_error 0.850418 relative_absolute_error 0.806447 relative_absolute_error 0.764079 relative_absolute_error 0.869243 relative_absolute_error 0.810215 relative_absolute_error 0.916883 relative_absolute_error 0.81654 relative_absolute_error 0.772103 relative_absolute_error 0.91117 relative_absolute_error 0.915269 relative_absolute_error 0.801917 relative_absolute_error 0.801917 relative_absolute_error 0.855555 relative_absolute_error 0.869158 relative_absolute_error 0.955847 relative_absolute_error 0.978943 relative_absolute_error 0.958327 relative_absolute_error 0.958551 relative_absolute_error 0.977384 relative_absolute_error 0.976675 relative_absolute_error 0.855555 relative_absolute_error 0.859588 relative_absolute_error 0.804555 relative_absolute_error 0.824221 relative_absolute_error 0.984137 relative_absolute_error 0.906188 relative_absolute_error 0.900104 relative_absolute_error 0.964631 relative_absolute_error 0.807363 relative_absolute_error 0.850418 relative_absolute_error 0.81654 relative_absolute_error 0.91117 relative_absolute_error 0.85165 relative_absolute_error 0.75723 relative_absolute_error 0.85165 relative_absolute_error 0.969285 relative_absolute_error 0.790846 relative_absolute_error 0.860481 relative_absolute_error 0.799253 relative_absolute_error 0.810541 relative_absolute_error 0.919921 relative_absolute_error 0.865893 root_mean_prior_squared_error 0.484967 root_mean_prior_squared_error 0.484967 root_mean_prior_squared_error 0.484967 root_mean_prior_squared_error 0.484967 root_mean_prior_squared_error 0.484967 root_mean_prior_squared_error 0.484967 root_mean_prior_squared_error 0.484967 root_mean_prior_squared_error 0.484967 root_mean_prior_squared_error 0.484967 root_mean_prior_squared_error 0.484967 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.492821 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.492821 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.492821 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.492821 root_mean_prior_squared_error 0.492821 root_mean_prior_squared_error 0.492821 root_mean_prior_squared_error 0.492821 root_mean_prior_squared_error 0.492821 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.492821 root_mean_prior_squared_error 0.471586 root_mean_prior_squared_error 0.492821 root_mean_prior_squared_error 0.471586 root_mean_squared_error 0.552378 root_mean_squared_error 0.493985 root_mean_squared_error 0.464977 root_mean_squared_error 0.410166 root_mean_squared_error 0.496676 root_mean_squared_error 0.469514 root_mean_squared_error 0.489326 root_mean_squared_error 0.459438 root_mean_squared_error 0.470927 root_mean_squared_error 0.498386 root_mean_squared_error 0.496094 root_mean_squared_error 0.466187 root_mean_squared_error 0.471013 root_mean_squared_error 0.44156 root_mean_squared_error 0.575362 root_mean_squared_error 0.527782 root_mean_squared_error 0.420708 root_mean_squared_error 0.480974 root_mean_squared_error 0.490871 root_mean_squared_error 0.538328 root_mean_squared_error 0.442474 root_mean_squared_error 0.503261 root_mean_squared_error 0.504234 root_mean_squared_error 0.470215 root_mean_squared_error 0.452924 root_mean_squared_error 0.461189 root_mean_squared_error 0.507348 root_mean_squared_error 0.442474 root_mean_squared_error 0.493261 root_mean_squared_error 0.471195 root_mean_squared_error 0.483665 root_mean_squared_error 0.427132 root_mean_squared_error 0.383871 root_mean_squared_error 0.500114 root_mean_squared_error 0.452094 root_mean_squared_error 0.477659 root_mean_squared_error 0.376982 root_mean_squared_error 0.476125 root_mean_squared_error 0.483645 root_mean_squared_error 0.385748 root_mean_squared_error 0.407452 root_mean_squared_error 0.476125 root_mean_squared_error 0.424481 root_mean_squared_error 0.497499 root_mean_squared_error 0.453783 root_mean_squared_error 0.420708 root_mean_squared_error 0.49129 root_mean_squared_error 0.407634 root_mean_squared_error 0.453783 root_mean_squared_error 0.473206 root_mean_squared_error 0.471195 root_mean_squared_error 0.476125 root_mean_squared_error 0.469865 root_mean_squared_error 0.467993 root_mean_squared_error 0.451621 root_mean_squared_error 0.383871 root_mean_squared_error 0.468628 root_mean_squared_error 0.342206 root_mean_squared_error 0.451621 root_mean_squared_error 0.407634 root_mean_squared_error 0.373977 root_mean_squared_error 0.432177 root_mean_squared_error 0.420708 root_mean_squared_error 0.471013 root_mean_squared_error 0.403289 root_mean_squared_error 0.377077 root_mean_squared_error 0.467862 root_mean_squared_error 0.461189 root_mean_squared_error 0.41713 root_mean_squared_error 0.41713 root_mean_squared_error 0.442474 root_mean_squared_error 0.448382 root_mean_squared_error 0.471195 root_mean_squared_error 0.497642 root_mean_squared_error 0.49129 root_mean_squared_error 0.470536 root_mean_squared_error 0.495607 root_mean_squared_error 0.509524 root_mean_squared_error 0.442474 root_mean_squared_error 0.442744 root_mean_squared_error 0.407738 root_mean_squared_error 0.41798 root_mean_squared_error 0.504834 root_mean_squared_error 0.446436 root_mean_squared_error 0.448134 root_mean_squared_error 0.511167 root_mean_squared_error 0.407214 root_mean_squared_error 0.451621 root_mean_squared_error 0.403289 root_mean_squared_error 0.468628 root_mean_squared_error 0.445877 root_mean_squared_error 0.385685 root_mean_squared_error 0.445877 root_mean_squared_error 0.505758 root_mean_squared_error 0.407736 root_mean_squared_error 0.435289 root_mean_squared_error 0.419032 root_mean_squared_error 0.399594 root_mean_squared_error 0.475065 root_mean_squared_error 0.441592 root_relative_squared_error 1.139002 root_relative_squared_error 1.018595 root_relative_squared_error 0.958781 root_relative_squared_error 0.845761 root_relative_squared_error 1.024145 root_relative_squared_error 0.968136 root_relative_squared_error 1.008989 root_relative_squared_error 0.94736 root_relative_squared_error 0.971049 root_relative_squared_error 1.02767 root_relative_squared_error 1.051971 root_relative_squared_error 0.988553 root_relative_squared_error 0.998785 root_relative_squared_error 0.93633 root_relative_squared_error 1.220057 root_relative_squared_error 1.070941 root_relative_squared_error 0.892113 root_relative_squared_error 0.975961 root_relative_squared_error 1.040894 root_relative_squared_error 1.092341 root_relative_squared_error 0.938268 root_relative_squared_error 1.067167 root_relative_squared_error 1.069232 root_relative_squared_error 0.997094 root_relative_squared_error 0.960427 root_relative_squared_error 0.977954 root_relative_squared_error 1.075835 root_relative_squared_error 0.938268 root_relative_squared_error 1.045962 root_relative_squared_error 0.999172 root_relative_squared_error 1.025614 root_relative_squared_error 0.905736 root_relative_squared_error 0.814001 root_relative_squared_error 1.060494 root_relative_squared_error 0.958668 root_relative_squared_error 1.012878 root_relative_squared_error 0.799393 root_relative_squared_error 1.009625 root_relative_squared_error 1.025573 root_relative_squared_error 0.817982 root_relative_squared_error 0.864004 root_relative_squared_error 1.009625 root_relative_squared_error 0.900114 root_relative_squared_error 1.054949 root_relative_squared_error 0.962249 root_relative_squared_error 0.892113 root_relative_squared_error 1.041783 root_relative_squared_error 0.86439 root_relative_squared_error 0.962249 root_relative_squared_error 1.003436 root_relative_squared_error 0.999172 root_relative_squared_error 1.009625 root_relative_squared_error 0.996351 root_relative_squared_error 0.992382 root_relative_squared_error 0.957665 root_relative_squared_error 0.814001 root_relative_squared_error 0.993728 root_relative_squared_error 0.725649 root_relative_squared_error 0.957665 root_relative_squared_error 0.86439 root_relative_squared_error 0.79302 root_relative_squared_error 0.916434 root_relative_squared_error 0.892113 root_relative_squared_error 0.998785 root_relative_squared_error 0.855177 root_relative_squared_error 0.799595 root_relative_squared_error 0.992103 root_relative_squared_error 0.977954 root_relative_squared_error 0.884527 root_relative_squared_error 0.884527 root_relative_squared_error 0.938268 root_relative_squared_error 0.950796 root_relative_squared_error 0.999172 root_relative_squared_error 1.055252 root_relative_squared_error 1.041783 root_relative_squared_error 0.997775 root_relative_squared_error 1.050937 root_relative_squared_error 1.080448 root_relative_squared_error 0.938268 root_relative_squared_error 0.93884 root_relative_squared_error 0.864611 root_relative_squared_error 0.886329 root_relative_squared_error 1.070503 root_relative_squared_error 0.946669 root_relative_squared_error 0.95027 root_relative_squared_error 1.083932 root_relative_squared_error 0.863499 root_relative_squared_error 0.957665 root_relative_squared_error 0.855177 root_relative_squared_error 0.993728 root_relative_squared_error 0.904745 root_relative_squared_error 0.782608 root_relative_squared_error 0.904745 root_relative_squared_error 1.026252 root_relative_squared_error 0.827351 root_relative_squared_error 0.923033 root_relative_squared_error 0.850272 root_relative_squared_error 0.847341 root_relative_squared_error 0.963971 root_relative_squared_error 0.936399 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 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 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 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 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 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 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 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_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0