458079 2 Joaquin Vanschoren 4523 Supervised Classification predictive_accuracy 1079 weka.RandomForest(5) 1849 weka.classifiers.trees.RandomForest -- -I 100 -K 0 -S 1 -num-slots 1 I 100 1079 K 0 1079 S 1 1079 num-slots 1 1079 weka weka_3.7.12 955 tae https://www.openml.org/data/download/53489/tae.arff -1 1608428 description https://api.openml.org/data/download/1608428/weka_generated_run5830633482898308371.xml -1 1608431 model_readable https://api.openml.org/data/download/1608431/WekaModel_weka.classifiers.trees.RandomForest5648066609828995807.model -1 1608430 model_serialized https://api.openml.org/data/download/1608430/WekaSerialized_weka.classifiers.trees.RandomForest5819072382514880723.model -1 1608429 predictions https://api.openml.org/data/download/1608429/weka_generated_predictions6769819962139634745.arff area_under_roc_curve 0.805986 [0.805986,0.805986] average_cost 0 f_measure 0.77633 [0.679281,0.827305] kappa 0.506655 kb_relative_information_score 531.238022 mean_absolute_error 0.296705 mean_prior_absolute_error 0.452192 number_of_instances 1510 [520,990] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.777366 [0.668529,0.834532] predictive_accuracy 0.775497 prior_entropy 0.930817 recall 0.775497 [0.690385,0.820202] relative_absolute_error 0.656147 root_mean_prior_squared_error 0.475167 root_mean_squared_error 0.408813 root_relative_squared_error 0.860357 scimark_benchmark 947.178104 [557.6216842393322, 1015.2555353338006, 484.5405689113658, 909.9062692880296, 1768.5664600912808] total_cost 0 usercpu_time_millis 30 usercpu_time_millis_testing 0 usercpu_time_millis_training 30 area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 0.841667 [0.841667,0.841667] area_under_roc_curve 0.766667 [0.766667,0.766667] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.783333 [0.783333,0.783333] area_under_roc_curve 0.816667 [0.816667,0.816667] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.933333 [0.933333,0.933333] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.88 [0.88,0.88] area_under_roc_curve 0.66 [0.66,0.66] area_under_roc_curve 0.72 [0.72,0.72] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.685185 [0.685185,0.685185] area_under_roc_curve 0.83 [0.83,0.83] area_under_roc_curve 0.814815 [0.814815,0.814815] area_under_roc_curve 0.66 [0.66,0.66] area_under_roc_curve 0.796296 [0.796296,0.796296] area_under_roc_curve 0.72 [0.72,0.72] area_under_roc_curve 0.63 [0.63,0.63] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 0.92 [0.92,0.92] area_under_roc_curve 0.92 [0.92,0.92] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 0.41 [0.41,0.41] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.72 [0.72,0.72] area_under_roc_curve 0.82 [0.82,0.82] area_under_roc_curve 0.98 [0.98,0.98] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.73 [0.73,0.73] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.72 [0.72,0.72] area_under_roc_curve 0.79 [0.79,0.79] area_under_roc_curve 0.73 [0.73,0.73] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.81 [0.81,0.81] area_under_roc_curve 0.88 [0.88,0.88] area_under_roc_curve 0.56 [0.56,0.56] area_under_roc_curve 0.73 [0.73,0.73] area_under_roc_curve 0.81 [0.81,0.81] area_under_roc_curve 0.96 [0.96,0.96] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 0.92 [0.92,0.92] area_under_roc_curve 0.96 [0.96,0.96] area_under_roc_curve 0.48 [0.48,0.48] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.88 [0.88,0.88] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.94 [0.94,0.94] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.72 [0.72,0.72] area_under_roc_curve 0.87 [0.87,0.87] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.94 [0.94,0.94] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.92 [0.92,0.92] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.79 [0.79,0.79] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 0.63 [0.63,0.63] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.92 [0.92,0.92] area_under_roc_curve 0.92 [0.92,0.92] area_under_roc_curve 0.77 [0.77,0.77] area_under_roc_curve 0.67 [0.67,0.67] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.76 [0.76,0.76] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.94 [0.94,0.94] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 0.94 [0.94,0.94] area_under_roc_curve 0.92 [0.92,0.92] area_under_roc_curve 0.76 [0.76,0.76] area_under_roc_curve 0.94 [0.94,0.94] area_under_roc_curve 0.66 [0.66,0.66] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.805556 [0.805556,0.805556] area_under_roc_curve 0.731481 [0.731481,0.731481] area_under_roc_curve 0.62037 [0.62037,0.62037] area_under_roc_curve 0.740741 [0.740741,0.740741] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.907407 [0.907407,0.907407] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.740741 [0.740741,0.740741] area_under_roc_curve 0.93 [0.93,0.93] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.680736 [0.545455,0.761905] f_measure 0.936147 [0.909091,0.952381] f_measure 0.680736 [0.545455,0.761905] f_measure 0.875 [0.833333,0.9] f_measure 0.753968 [0.714286,0.777778] f_measure 0.691296 [0.615385,0.736842] f_measure 0.680736 [0.545455,0.761905] f_measure 0.876984 [0.857143,0.888889] f_measure 0.808442 [0.727273,0.857143] f_measure 0.75 [0.666667,0.8] f_measure 0.87037 [0.833333,0.888889] f_measure 0.673046 [0.545455,0.736842] f_measure 0.673046 [0.545455,0.736842] f_measure 0.856061 [0.75,0.909091] f_measure 0.666667 [0.666667,0.666667] f_measure 0.603571 [0.571429,0.625] f_measure 0.712121 [0.5,0.818182] f_measure 0.866667 [0.833333,0.888889] f_measure 0.675716 [0.615385,0.705882] f_measure 0.80181 [0.769231,0.823529] f_measure 0.518519 [0.222222,0.666667] f_measure 0.611111 [0.5,0.666667] f_measure 0.793651 [0.666667,0.857143] f_measure 0.866667 [0.8,0.9] f_measure 0.934609 [0.909091,0.947368] f_measure 0.740741 [0.666667,0.777778] f_measure 0.712121 [0.5,0.818182] f_measure 0.803828 [0.727273,0.842105] f_measure 0.803828 [0.727273,0.842105] f_measure 0.931217 [0.888889,0.952381] f_measure 0.712121 [0.5,0.818182] f_measure 0.740741 [0.666667,0.777778] f_measure 0.934609 [0.909091,0.947368] f_measure 0.675716 [0.615385,0.705882] f_measure 0.793651 [0.666667,0.857143] f_measure 0.656085 [0.444444,0.761905] f_measure 0.675716 [0.615385,0.705882] f_measure 0.856061 [0.75,0.909091] f_measure 0.733333 [0.6,0.8] f_measure 0.931217 [0.888889,0.952381] f_measure 0.866667 [0.8,0.9] f_measure 0.793651 [0.666667,0.857143] f_measure 0.607143 [0.571429,0.625] f_measure 0.793651 [0.666667,0.857143] f_measure 0.712121 [0.5,0.818182] f_measure 0.87037 [0.833333,0.888889] f_measure 0.733333 [0.6,0.8] f_measure 0.866667 [0.8,0.9] f_measure 0.793651 [0.666667,0.857143] f_measure 0.712121 [0.5,0.818182] f_measure 0.803828 [0.727273,0.842105] f_measure 0.733333 [0.6,0.8] f_measure 0.856061 [0.75,0.909091] f_measure 0.803828 [0.727273,0.842105] f_measure 0.793651 [0.666667,0.857143] f_measure 0.712121 [0.5,0.818182] f_measure 0.733333 [0.6,0.8] f_measure 0.6 [0.4,0.7] f_measure 0.793651 [0.666667,0.857143] f_measure 0.607143 [0.571429,0.625] f_measure 0.934609 [0.909091,0.947368] f_measure 0.712121 [0.5,0.818182] f_measure 0.770186 [0.571429,0.869565] f_measure 0.607143 [0.571429,0.625] f_measure 0.793651 [0.666667,0.857143] f_measure 0.656085 [0.444444,0.761905] f_measure 0.87037 [0.833333,0.888889] f_measure 0.80543 [0.769231,0.823529] f_measure 0.866667 [0.8,0.9] f_measure 0.866667 [0.8,0.9] f_measure 0.866667 [0.8,0.9] f_measure 0.87037 [0.833333,0.888889] f_measure 0.803828 [0.727273,0.842105] f_measure 0.542265 [0.363636,0.631579] f_measure 0.87037 [0.833333,0.888889] f_measure 0.803828 [0.727273,0.842105] f_measure 0.80543 [0.769231,0.823529] f_measure 0.733333 [0.6,0.8] f_measure 0.712121 [0.5,0.818182] f_measure 0.733333 [0.6,0.8] f_measure 0.856061 [0.75,0.909091] f_measure 1 [1,1] f_measure 0.803828 [0.727273,0.842105] f_measure 0.931217 [0.888889,0.952381] f_measure 0.793651 [0.666667,0.857143] f_measure 0.931217 [0.888889,0.952381] f_measure 0.712121 [0.5,0.818182] f_measure 0.607143 [0.571429,0.625] f_measure 0.866667 [0.8,0.9] f_measure 0.656085 [0.444444,0.761905] f_measure 0.735714 [0.714286,0.75] f_measure 0.660287 [0.545455,0.736842] f_measure 0.733333 [0.666667,0.777778] f_measure 0.634921 [0.444444,0.761905] f_measure 0.780952 [0.666667,0.857143] f_measure 0.866667 [0.8,0.9] f_measure 0.932057 [0.909091,0.947368] f_measure 0.770186 [0.571429,0.869565] f_measure 0.666667 [0.666667,0.666667] f_measure 0.934609 [0.909091,0.947368] kappa 0.310345 kappa 0.862069 kappa 0.310345 kappa 0.733333 kappa 0.5 kappa 0.354839 kappa 0.310345 kappa 0.75 kappa 0.586207 kappa 0.466667 kappa 0.727273 kappa 0.285714 kappa 0.285714 kappa 0.666667 kappa 0.4 kappa 0.210526 kappa 0.333333 kappa 0.722222 kappa 0.347826 kappa 0.594595 kappa -0.105263 kappa 0.181818 kappa 0.526316 kappa 0.7 kappa 0.857143 kappa 0.454545 kappa 0.333333 kappa 0.571429 kappa 0.571429 kappa 0.842105 kappa 0.333333 kappa 0.454545 kappa 0.857143 kappa 0.347826 kappa 0.526316 kappa 0.210526 kappa 0.347826 kappa 0.666667 kappa 0.4 kappa 0.842105 kappa 0.7 kappa 0.526316 kappa 0.25 kappa 0.526316 kappa 0.333333 kappa 0.727273 kappa 0.4 kappa 0.7 kappa 0.526316 kappa 0.333333 kappa 0.571429 kappa 0.4 kappa 0.666667 kappa 0.571429 kappa 0.526316 kappa 0.333333 kappa 0.4 kappa 0.1 kappa 0.526316 kappa 0.25 kappa 0.857143 kappa 0.333333 kappa 0.470588 kappa 0.25 kappa 0.526316 kappa 0.210526 kappa 0.727273 kappa 0.608696 kappa 0.7 kappa 0.7 kappa 0.7 kappa 0.727273 kappa 0.571429 kappa 0 kappa 0.727273 kappa 0.571429 kappa 0.608696 kappa 0.4 kappa 0.333333 kappa 0.4 kappa 0.666667 kappa 1 kappa 0.571429 kappa 0.842105 kappa 0.526316 kappa 0.842105 kappa 0.333333 kappa 0.25 kappa 0.7 kappa 0.210526 kappa 0.473684 kappa 0.285714 kappa 0.444444 kappa 0.242424 kappa 0.545455 kappa 0.7 kappa 0.857143 kappa 0.470588 kappa 0.358974 kappa 0.857143 kb_relative_information_score 3.241866 kb_relative_information_score 10.163352 kb_relative_information_score 3.48309 kb_relative_information_score 8.79425 kb_relative_information_score 5.291171 kb_relative_information_score 4.675199 kb_relative_information_score 4.018177 kb_relative_information_score 8.477724 kb_relative_information_score 7.800241 kb_relative_information_score 4.351374 kb_relative_information_score 6.834583 kb_relative_information_score 2.046654 kb_relative_information_score 3.033129 kb_relative_information_score 7.137942 kb_relative_information_score 3.335523 kb_relative_information_score 1.404476 kb_relative_information_score 5.189426 kb_relative_information_score 7.335234 kb_relative_information_score 2.024648 kb_relative_information_score 5.178078 kb_relative_information_score 1.706133 kb_relative_information_score 1.596995 kb_relative_information_score 6.212233 kb_relative_information_score 6.369223 kb_relative_information_score 6.867246 kb_relative_information_score 5.765763 kb_relative_information_score 3.666265 kb_relative_information_score 5.387653 kb_relative_information_score 6.294501 kb_relative_information_score 10.108429 kb_relative_information_score 4.71018 kb_relative_information_score 5.48629 kb_relative_information_score 9.45036 kb_relative_information_score 2.697472 kb_relative_information_score 5.595903 kb_relative_information_score 3.288493 kb_relative_information_score 1.652449 kb_relative_information_score 7.581626 kb_relative_information_score 2.683852 kb_relative_information_score 9.126225 kb_relative_information_score 4.471231 kb_relative_information_score 7.034621 kb_relative_information_score 0.653008 kb_relative_information_score 5.171068 kb_relative_information_score 4.292076 kb_relative_information_score 6.987946 kb_relative_information_score 5.591956 kb_relative_information_score 7.26847 kb_relative_information_score 7.424982 kb_relative_information_score 2.472379 kb_relative_information_score 3.508657 kb_relative_information_score 3.337854 kb_relative_information_score 5.313351 kb_relative_information_score 6.799203 kb_relative_information_score 6.24563 kb_relative_information_score 4.99487 kb_relative_information_score 4.3438 kb_relative_information_score 3.770332 kb_relative_information_score 6.313052 kb_relative_information_score 1.557189 kb_relative_information_score 7.816159 kb_relative_information_score 4.513703 kb_relative_information_score 8.787053 kb_relative_information_score 0.585718 kb_relative_information_score 6.506343 kb_relative_information_score 3.801225 kb_relative_information_score 7.763504 kb_relative_information_score 2.886399 kb_relative_information_score 7.550146 kb_relative_information_score 7.900638 kb_relative_information_score 8.584211 kb_relative_information_score 7.026969 kb_relative_information_score 5.621361 kb_relative_information_score -0.803014 kb_relative_information_score 4.902908 kb_relative_information_score 5.510823 kb_relative_information_score 5.868622 kb_relative_information_score 3.607152 kb_relative_information_score 3.291602 kb_relative_information_score 4.485254 kb_relative_information_score 7.138223 kb_relative_information_score 11.152816 kb_relative_information_score 6.155615 kb_relative_information_score 6.899053 kb_relative_information_score 6.586782 kb_relative_information_score 8.442784 kb_relative_information_score 7.029812 kb_relative_information_score 1.416099 kb_relative_information_score 7.571213 kb_relative_information_score 3.671434 kb_relative_information_score 5.245118 kb_relative_information_score 4.20225 kb_relative_information_score 5.360929 kb_relative_information_score 2.247347 kb_relative_information_score 4.287543 kb_relative_information_score 4.377551 kb_relative_information_score 8.675011 kb_relative_information_score 4.961187 kb_relative_information_score 3.397285 kb_relative_information_score 8.598092 mean_absolute_error 0.36619 mean_absolute_error 0.202729 mean_absolute_error 0.350906 mean_absolute_error 0.230333 mean_absolute_error 0.315646 mean_absolute_error 0.324656 mean_absolute_error 0.348874 mean_absolute_error 0.242858 mean_absolute_error 0.254426 mean_absolute_error 0.347313 mean_absolute_error 0.255578 mean_absolute_error 0.386052 mean_absolute_error 0.349179 mean_absolute_error 0.2445 mean_absolute_error 0.341833 mean_absolute_error 0.419898 mean_absolute_error 0.294072 mean_absolute_error 0.27211 mean_absolute_error 0.387778 mean_absolute_error 0.325011 mean_absolute_error 0.367984 mean_absolute_error 0.38657 mean_absolute_error 0.265778 mean_absolute_error 0.26849 mean_absolute_error 0.256311 mean_absolute_error 0.268944 mean_absolute_error 0.342239 mean_absolute_error 0.289333 mean_absolute_error 0.270722 mean_absolute_error 0.161444 mean_absolute_error 0.309733 mean_absolute_error 0.278478 mean_absolute_error 0.174352 mean_absolute_error 0.360811 mean_absolute_error 0.288922 mean_absolute_error 0.336333 mean_absolute_error 0.385081 mean_absolute_error 0.233089 mean_absolute_error 0.361667 mean_absolute_error 0.189998 mean_absolute_error 0.316611 mean_absolute_error 0.236444 mean_absolute_error 0.418733 mean_absolute_error 0.291844 mean_absolute_error 0.317222 mean_absolute_error 0.25447 mean_absolute_error 0.270167 mean_absolute_error 0.235301 mean_absolute_error 0.233056 mean_absolute_error 0.381952 mean_absolute_error 0.347944 mean_absolute_error 0.346389 mean_absolute_error 0.302433 mean_absolute_error 0.245933 mean_absolute_error 0.272231 mean_absolute_error 0.289822 mean_absolute_error 0.315333 mean_absolute_error 0.318311 mean_absolute_error 0.261537 mean_absolute_error 0.386122 mean_absolute_error 0.225522 mean_absolute_error 0.318711 mean_absolute_error 0.189465 mean_absolute_error 0.412878 mean_absolute_error 0.251556 mean_absolute_error 0.325535 mean_absolute_error 0.229833 mean_absolute_error 0.358278 mean_absolute_error 0.227676 mean_absolute_error 0.223855 mean_absolute_error 0.195556 mean_absolute_error 0.245623 mean_absolute_error 0.286056 mean_absolute_error 0.455333 mean_absolute_error 0.320167 mean_absolute_error 0.289851 mean_absolute_error 0.286667 mean_absolute_error 0.337 mean_absolute_error 0.343405 mean_absolute_error 0.311822 mean_absolute_error 0.247006 mean_absolute_error 0.1397 mean_absolute_error 0.274667 mean_absolute_error 0.263322 mean_absolute_error 0.250127 mean_absolute_error 0.206 mean_absolute_error 0.241194 mean_absolute_error 0.385363 mean_absolute_error 0.232 mean_absolute_error 0.329198 mean_absolute_error 0.322219 mean_absolute_error 0.352556 mean_absolute_error 0.320716 mean_absolute_error 0.400967 mean_absolute_error 0.353233 mean_absolute_error 0.322794 mean_absolute_error 0.229702 mean_absolute_error 0.299333 mean_absolute_error 0.361032 mean_absolute_error 0.205333 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 0.679545 [0.6,0.727273] precision 0.943182 [1,0.909091] precision 0.679545 [0.6,0.727273] precision 0.875 [0.833333,0.9] precision 0.78125 [0.625,0.875] precision 0.700397 [0.571429,0.777778] precision 0.679545 [0.6,0.727273] precision 0.90625 [0.75,1] precision 0.811364 [0.8,0.818182] precision 0.75 [0.666667,0.8] precision 0.904762 [0.714286,1] precision 0.685185 [0.5,0.777778] precision 0.685185 [0.5,0.777778] precision 0.888889 [1,0.833333] precision 0.833333 [0.5,1] precision 0.628571 [0.5,0.714286] precision 0.722222 [0.666667,0.75] precision 0.866667 [0.833333,0.888889] precision 0.738095 [0.5,0.857143] precision 0.810714 [0.714286,0.875] precision 0.507576 [0.25,0.636364] precision 0.642857 [0.428571,0.75] precision 0.795455 [0.75,0.818182] precision 0.866667 [0.8,0.9] precision 0.944444 [0.833333,1] precision 0.77381 [0.571429,0.875] precision 0.722222 [0.666667,0.75] precision 0.814815 [0.666667,0.888889] precision 0.814815 [0.666667,0.888889] precision 0.939394 [1,0.909091] precision 0.722222 [0.666667,0.75] precision 0.77381 [0.571429,0.875] precision 0.944444 [0.833333,1] precision 0.738095 [0.5,0.857143] precision 0.795455 [0.75,0.818182] precision 0.651515 [0.5,0.727273] precision 0.738095 [0.5,0.857143] precision 0.888889 [1,0.833333] precision 0.733333 [0.6,0.8] precision 0.939394 [1,0.909091] precision 0.866667 [0.8,0.9] precision 0.795455 [0.75,0.818182] precision 0.703704 [0.444444,0.833333] precision 0.795455 [0.75,0.818182] precision 0.722222 [0.666667,0.75] precision 0.904762 [0.714286,1] precision 0.733333 [0.6,0.8] precision 0.866667 [0.8,0.9] precision 0.795455 [0.75,0.818182] precision 0.722222 [0.666667,0.75] precision 0.814815 [0.666667,0.888889] precision 0.733333 [0.6,0.8] precision 0.888889 [1,0.833333] precision 0.814815 [0.666667,0.888889] precision 0.795455 [0.75,0.818182] precision 0.722222 [0.666667,0.75] precision 0.733333 [0.6,0.8] precision 0.6 [0.4,0.7] precision 0.795455 [0.75,0.818182] precision 0.703704 [0.444444,0.833333] precision 0.944444 [0.833333,1] precision 0.722222 [0.666667,0.75] precision 0.846154 [1,0.769231] precision 0.703704 [0.444444,0.833333] precision 0.795455 [0.75,0.818182] precision 0.651515 [0.5,0.727273] precision 0.904762 [0.714286,1] precision 0.875 [0.625,1] precision 0.866667 [0.8,0.9] precision 0.866667 [0.8,0.9] precision 0.866667 [0.8,0.9] precision 0.904762 [0.714286,1] precision 0.814815 [0.666667,0.888889] precision 0.555556 [0.333333,0.666667] precision 0.904762 [0.714286,1] precision 0.814815 [0.666667,0.888889] precision 0.875 [0.625,1] precision 0.733333 [0.6,0.8] precision 0.722222 [0.666667,0.75] precision 0.733333 [0.6,0.8] precision 0.888889 [1,0.833333] precision 1 [1,1] precision 0.814815 [0.666667,0.888889] precision 0.939394 [1,0.909091] precision 0.795455 [0.75,0.818182] precision 0.939394 [1,0.909091] precision 0.722222 [0.666667,0.75] precision 0.703704 [0.444444,0.833333] precision 0.866667 [0.8,0.9] precision 0.651515 [0.5,0.727273] precision 0.764286 [0.625,0.857143] precision 0.66 [0.6,0.7] precision 0.733333 [0.666667,0.777778] precision 0.666667 [0.666667,0.666667] precision 0.85 [1,0.75] precision 0.866667 [0.8,0.9] precision 0.94 [1,0.9] precision 0.846154 [1,0.769231] precision 0.722222 [0.555556,0.833333] precision 0.944444 [0.833333,1] predictive_accuracy 0.6875 predictive_accuracy 0.9375 predictive_accuracy 0.6875 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.6875 predictive_accuracy 0.6875 predictive_accuracy 0.875 predictive_accuracy 0.8125 predictive_accuracy 0.75 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.6 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.533333 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.933333 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.933333 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.533333 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.733333 predictive_accuracy 0.6 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.933333 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 0.6875 [0.5,0.8] recall 0.9375 [0.833333,1] recall 0.6875 [0.5,0.8] recall 0.875 [0.833333,0.9] recall 0.75 [0.833333,0.7] recall 0.6875 [0.666667,0.7] recall 0.6875 [0.5,0.8] recall 0.875 [1,0.8] recall 0.8125 [0.666667,0.9] recall 0.75 [0.666667,0.8] recall 0.866667 [1,0.8] recall 0.666667 [0.6,0.7] recall 0.666667 [0.6,0.7] recall 0.866667 [0.6,1] recall 0.666667 [1,0.5] recall 0.6 [0.666667,0.555556] recall 0.733333 [0.4,0.9] recall 0.866667 [0.833333,0.888889] recall 0.666667 [0.8,0.6] recall 0.8 [0.833333,0.777778] recall 0.533333 [0.2,0.7] recall 0.6 [0.6,0.6] recall 0.8 [0.6,0.9] recall 0.866667 [0.8,0.9] recall 0.933333 [1,0.9] recall 0.733333 [0.8,0.7] recall 0.733333 [0.4,0.9] recall 0.8 [0.8,0.8] recall 0.8 [0.8,0.8] recall 0.933333 [0.8,1] recall 0.733333 [0.4,0.9] recall 0.733333 [0.8,0.7] recall 0.933333 [1,0.9] recall 0.666667 [0.8,0.6] recall 0.8 [0.6,0.9] recall 0.666667 [0.4,0.8] recall 0.666667 [0.8,0.6] recall 0.866667 [0.6,1] recall 0.733333 [0.6,0.8] recall 0.933333 [0.8,1] recall 0.866667 [0.8,0.9] recall 0.8 [0.6,0.9] recall 0.6 [0.8,0.5] recall 0.8 [0.6,0.9] recall 0.733333 [0.4,0.9] recall 0.866667 [1,0.8] recall 0.733333 [0.6,0.8] recall 0.866667 [0.8,0.9] recall 0.8 [0.6,0.9] recall 0.733333 [0.4,0.9] recall 0.8 [0.8,0.8] recall 0.733333 [0.6,0.8] recall 0.866667 [0.6,1] recall 0.8 [0.8,0.8] recall 0.8 [0.6,0.9] recall 0.733333 [0.4,0.9] recall 0.733333 [0.6,0.8] recall 0.6 [0.4,0.7] recall 0.8 [0.6,0.9] recall 0.6 [0.8,0.5] recall 0.933333 [1,0.9] recall 0.733333 [0.4,0.9] recall 0.8 [0.4,1] recall 0.6 [0.8,0.5] recall 0.8 [0.6,0.9] recall 0.666667 [0.4,0.8] recall 0.866667 [1,0.8] recall 0.8 [1,0.7] recall 0.866667 [0.8,0.9] recall 0.866667 [0.8,0.9] recall 0.866667 [0.8,0.9] recall 0.866667 [1,0.8] recall 0.8 [0.8,0.8] recall 0.533333 [0.4,0.6] recall 0.866667 [1,0.8] recall 0.8 [0.8,0.8] recall 0.8 [1,0.7] recall 0.733333 [0.6,0.8] recall 0.733333 [0.4,0.9] recall 0.733333 [0.6,0.8] recall 0.866667 [0.6,1] recall 1 [1,1] recall 0.8 [0.8,0.8] recall 0.933333 [0.8,1] recall 0.8 [0.6,0.9] recall 0.933333 [0.8,1] recall 0.733333 [0.4,0.9] recall 0.6 [0.8,0.5] recall 0.866667 [0.8,0.9] recall 0.666667 [0.4,0.8] recall 0.733333 [0.833333,0.666667] recall 0.666667 [0.5,0.777778] recall 0.733333 [0.666667,0.777778] recall 0.666667 [0.333333,0.888889] recall 0.8 [0.5,1] recall 0.866667 [0.8,0.9] recall 0.933333 [0.833333,1] recall 0.8 [0.4,1] recall 0.666667 [0.833333,0.555556] recall 0.933333 [1,0.9] relative_absolute_error 0.793305 relative_absolute_error 0.439187 relative_absolute_error 0.760193 relative_absolute_error 0.498988 relative_absolute_error 0.683806 relative_absolute_error 0.703326 relative_absolute_error 0.75579 relative_absolute_error 0.52612 relative_absolute_error 0.55118 relative_absolute_error 0.752408 relative_absolute_error 0.569467 relative_absolute_error 0.860185 relative_absolute_error 0.778024 relative_absolute_error 0.544784 relative_absolute_error 0.761658 relative_absolute_error 0.89477 relative_absolute_error 0.655239 relative_absolute_error 0.579845 relative_absolute_error 0.864029 relative_absolute_error 0.692572 relative_absolute_error 0.819926 relative_absolute_error 0.861338 relative_absolute_error 0.592194 relative_absolute_error 0.598238 relative_absolute_error 0.571101 relative_absolute_error 0.59925 relative_absolute_error 0.762561 relative_absolute_error 0.64468 relative_absolute_error 0.603211 relative_absolute_error 0.359723 relative_absolute_error 0.690134 relative_absolute_error 0.620492 relative_absolute_error 0.388483 relative_absolute_error 0.803942 relative_absolute_error 0.643764 relative_absolute_error 0.749403 relative_absolute_error 0.858021 relative_absolute_error 0.519358 relative_absolute_error 0.80585 relative_absolute_error 0.423346 relative_absolute_error 0.705459 relative_absolute_error 0.526835 relative_absolute_error 0.933003 relative_absolute_error 0.650275 relative_absolute_error 0.70682 relative_absolute_error 0.566998 relative_absolute_error 0.601973 relative_absolute_error 0.524287 relative_absolute_error 0.519284 relative_absolute_error 0.851049 relative_absolute_error 0.775274 relative_absolute_error 0.771808 relative_absolute_error 0.673868 relative_absolute_error 0.547978 relative_absolute_error 0.606573 relative_absolute_error 0.645769 relative_absolute_error 0.702612 relative_absolute_error 0.709247 relative_absolute_error 0.582746 relative_absolute_error 0.86034 relative_absolute_error 0.502498 relative_absolute_error 0.710138 relative_absolute_error 0.422156 relative_absolute_error 0.919956 relative_absolute_error 0.560505 relative_absolute_error 0.725342 relative_absolute_error 0.512104 relative_absolute_error 0.798299 relative_absolute_error 0.507298 relative_absolute_error 0.498784 relative_absolute_error 0.435728 relative_absolute_error 0.547286 relative_absolute_error 0.637376 relative_absolute_error 1.014553 relative_absolute_error 0.713381 relative_absolute_error 0.645832 relative_absolute_error 0.638738 relative_absolute_error 0.750888 relative_absolute_error 0.765159 relative_absolute_error 0.694788 relative_absolute_error 0.550368 relative_absolute_error 0.311273 relative_absolute_error 0.612 relative_absolute_error 0.586723 relative_absolute_error 0.557322 relative_absolute_error 0.459 relative_absolute_error 0.537418 relative_absolute_error 0.858648 relative_absolute_error 0.516932 relative_absolute_error 0.733505 relative_absolute_error 0.686623 relative_absolute_error 0.751268 relative_absolute_error 0.68342 relative_absolute_error 0.854428 relative_absolute_error 0.752712 relative_absolute_error 0.719236 relative_absolute_error 0.489476 relative_absolute_error 0.666961 relative_absolute_error 0.769329 relative_absolute_error 0.457515 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 0.469654 root_mean_squared_error 0.308451 root_mean_squared_error 0.456824 root_mean_squared_error 0.33259 root_mean_squared_error 0.415318 root_mean_squared_error 0.458474 root_mean_squared_error 0.468322 root_mean_squared_error 0.374927 root_mean_squared_error 0.32947 root_mean_squared_error 0.440503 root_mean_squared_error 0.363688 root_mean_squared_error 0.464507 root_mean_squared_error 0.444468 root_mean_squared_error 0.358878 root_mean_squared_error 0.442482 root_mean_squared_error 0.520891 root_mean_squared_error 0.391968 root_mean_squared_error 0.381643 root_mean_squared_error 0.494126 root_mean_squared_error 0.428102 root_mean_squared_error 0.483479 root_mean_squared_error 0.50334 root_mean_squared_error 0.371368 root_mean_squared_error 0.340482 root_mean_squared_error 0.328269 root_mean_squared_error 0.411019 root_mean_squared_error 0.492636 root_mean_squared_error 0.384469 root_mean_squared_error 0.372332 root_mean_squared_error 0.226986 root_mean_squared_error 0.438515 root_mean_squared_error 0.411743 root_mean_squared_error 0.25918 root_mean_squared_error 0.480158 root_mean_squared_error 0.408431 root_mean_squared_error 0.473366 root_mean_squared_error 0.489851 root_mean_squared_error 0.36567 root_mean_squared_error 0.48012 root_mean_squared_error 0.315082 root_mean_squared_error 0.419186 root_mean_squared_error 0.386113 root_mean_squared_error 0.562624 root_mean_squared_error 0.427526 root_mean_squared_error 0.420481 root_mean_squared_error 0.323563 root_mean_squared_error 0.420574 root_mean_squared_error 0.336249 root_mean_squared_error 0.313188 root_mean_squared_error 0.505612 root_mean_squared_error 0.439279 root_mean_squared_error 0.438416 root_mean_squared_error 0.392702 root_mean_squared_error 0.351258 root_mean_squared_error 0.3911 root_mean_squared_error 0.432722 root_mean_squared_error 0.460948 root_mean_squared_error 0.431162 root_mean_squared_error 0.393454 root_mean_squared_error 0.501144 root_mean_squared_error 0.323029 root_mean_squared_error 0.416755 root_mean_squared_error 0.288418 root_mean_squared_error 0.491516 root_mean_squared_error 0.376297 root_mean_squared_error 0.427732 root_mean_squared_error 0.308019 root_mean_squared_error 0.437053 root_mean_squared_error 0.337152 root_mean_squared_error 0.318307 root_mean_squared_error 0.353224 root_mean_squared_error 0.357593 root_mean_squared_error 0.372732 root_mean_squared_error 0.547558 root_mean_squared_error 0.405331 root_mean_squared_error 0.358607 root_mean_squared_error 0.355321 root_mean_squared_error 0.435984 root_mean_squared_error 0.450292 root_mean_squared_error 0.413963 root_mean_squared_error 0.396389 root_mean_squared_error 0.169151 root_mean_squared_error 0.39287 root_mean_squared_error 0.318722 root_mean_squared_error 0.399145 root_mean_squared_error 0.322459 root_mean_squared_error 0.331694 root_mean_squared_error 0.487847 root_mean_squared_error 0.315087 root_mean_squared_error 0.460379 root_mean_squared_error 0.397333 root_mean_squared_error 0.437928 root_mean_squared_error 0.449981 root_mean_squared_error 0.533047 root_mean_squared_error 0.426998 root_mean_squared_error 0.420576 root_mean_squared_error 0.334295 root_mean_squared_error 0.398291 root_mean_squared_error 0.481278 root_mean_squared_error 0.300511 root_relative_squared_error 0.968424 root_relative_squared_error 0.636025 root_relative_squared_error 0.94197 root_relative_squared_error 0.6858 root_relative_squared_error 0.856384 root_relative_squared_error 0.945373 root_relative_squared_error 0.965678 root_relative_squared_error 0.773098 root_relative_squared_error 0.679367 root_relative_squared_error 0.908316 root_relative_squared_error 0.771203 root_relative_squared_error 0.98499 root_relative_squared_error 0.942497 root_relative_squared_error 0.761004 root_relative_squared_error 0.938285 root_relative_squared_error 1.056958 root_relative_squared_error 0.831171 root_relative_squared_error 0.774404 root_relative_squared_error 1.047797 root_relative_squared_error 0.868676 root_relative_squared_error 1.025221 root_relative_squared_error 1.067334 root_relative_squared_error 0.787487 root_relative_squared_error 0.721994 root_relative_squared_error 0.696095 root_relative_squared_error 0.871569 root_relative_squared_error 1.044637 root_relative_squared_error 0.815269 root_relative_squared_error 0.789533 root_relative_squared_error 0.481324 root_relative_squared_error 0.929874 root_relative_squared_error 0.873103 root_relative_squared_error 0.549593 root_relative_squared_error 1.018177 root_relative_squared_error 0.866079 root_relative_squared_error 1.003774 root_relative_squared_error 1.038731 root_relative_squared_error 0.775405 root_relative_squared_error 1.018096 root_relative_squared_error 0.668132 root_relative_squared_error 0.888886 root_relative_squared_error 0.818754 root_relative_squared_error 1.193048 root_relative_squared_error 0.906571 root_relative_squared_error 0.891633 root_relative_squared_error 0.686118 root_relative_squared_error 0.89183 root_relative_squared_error 0.713018 root_relative_squared_error 0.664117 root_relative_squared_error 1.072154 root_relative_squared_error 0.931493 root_relative_squared_error 0.929664 root_relative_squared_error 0.832726 root_relative_squared_error 0.744843 root_relative_squared_error 0.82933 root_relative_squared_error 0.91759 root_relative_squared_error 0.977443 root_relative_squared_error 0.914281 root_relative_squared_error 0.834322 root_relative_squared_error 1.062678 root_relative_squared_error 0.684985 root_relative_squared_error 0.883731 root_relative_squared_error 0.611591 root_relative_squared_error 1.042262 root_relative_squared_error 0.79794 root_relative_squared_error 0.907007 root_relative_squared_error 0.653155 root_relative_squared_error 0.926774 root_relative_squared_error 0.714933 root_relative_squared_error 0.674972 root_relative_squared_error 0.749014 root_relative_squared_error 0.758278 root_relative_squared_error 0.790381 root_relative_squared_error 1.1611 root_relative_squared_error 0.859507 root_relative_squared_error 0.760428 root_relative_squared_error 0.753461 root_relative_squared_error 0.924505 root_relative_squared_error 0.954846 root_relative_squared_error 0.877812 root_relative_squared_error 0.840546 root_relative_squared_error 0.358686 root_relative_squared_error 0.833082 root_relative_squared_error 0.675852 root_relative_squared_error 0.846389 root_relative_squared_error 0.683777 root_relative_squared_error 0.703359 root_relative_squared_error 1.034483 root_relative_squared_error 0.668144 root_relative_squared_error 0.976236 root_relative_squared_error 0.806243 root_relative_squared_error 0.888615 root_relative_squared_error 0.913073 root_relative_squared_error 1.081624 root_relative_squared_error 0.866436 root_relative_squared_error 0.891833 root_relative_squared_error 0.678329 root_relative_squared_error 0.844579 root_relative_squared_error 0.976577 root_relative_squared_error 0.637234 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 50 usercpu_time_millis 40 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 50 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 40 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 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 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_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 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_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 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 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 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 50 usercpu_time_millis_training 40 usercpu_time_millis_training 20 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 20 usercpu_time_millis_training 20 usercpu_time_millis_training 30 usercpu_time_millis_training 20 usercpu_time_millis_training 20 usercpu_time_millis_training 20 usercpu_time_millis_training 40 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 20 usercpu_time_millis_training 40 usercpu_time_millis_training 20 usercpu_time_millis_training 30 usercpu_time_millis_training 20 usercpu_time_millis_training 20 usercpu_time_millis_training 30 usercpu_time_millis_training 20 usercpu_time_millis_training 20 usercpu_time_millis_training 20 usercpu_time_millis_training 40 usercpu_time_millis_training 40 usercpu_time_millis_training 20 usercpu_time_millis_training 20 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 50 usercpu_time_millis_training 40 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 20 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 40 usercpu_time_millis_training 40 usercpu_time_millis_training 20 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 20 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 20 usercpu_time_millis_training 30 usercpu_time_millis_training 40 usercpu_time_millis_training 40 usercpu_time_millis_training 30 usercpu_time_millis_training 20 usercpu_time_millis_training 20 usercpu_time_millis_training 30 usercpu_time_millis_training 20 usercpu_time_millis_training 20 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 40 usercpu_time_millis_training 40 usercpu_time_millis_training 30 usercpu_time_millis_training 20 usercpu_time_millis_training 30 usercpu_time_millis_training 20 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 20 usercpu_time_millis_training 20 usercpu_time_millis_training 40 usercpu_time_millis_training 40 usercpu_time_millis_training 20 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 30 usercpu_time_millis_training 40 usercpu_time_millis_training 40 usercpu_time_millis_training 20 usercpu_time_millis_training 20 usercpu_time_millis_training 20 usercpu_time_millis_training 30 usercpu_time_millis_training 20 usercpu_time_millis_training 20 usercpu_time_millis_training 30 usercpu_time_millis_training 30