401836 2 Joaquin Vanschoren 4523 Supervised Classification predictive_accuracy 1199 weka.ADTree(4) 2069 weka.classifiers.trees.ADTree -- -B 10 -E -3 -S 1 B 10 1199 E -3 1199 S 1 1199 weka weka_3.7.12 955 tae https://www.openml.org/data/download/53489/tae.arff -1 1406092 description https://api.openml.org/data/download/1406092/weka_generated_run6409161924618958082.xml -1 1406095 model_readable https://api.openml.org/data/download/1406095/WekaModel_weka.classifiers.trees.ADTree4689288811655142044.model -1 1406094 model_serialized https://api.openml.org/data/download/1406094/WekaSerialized_weka.classifiers.trees.ADTree7472220715524295882.model -1 1406093 predictions https://api.openml.org/data/download/1406093/weka_generated_predictions4894341657514463569.arff area_under_roc_curve 0.712035 [0.712035,0.712035] average_cost 0 f_measure 0.695552 [0.534572,0.780107] kappa 0.316413 kb_relative_information_score 167.588064 mean_absolute_error 0.398795 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 0.692994 [0.576837,0.754006] predictive_accuracy 0.701325 prior_entropy 0.930817 recall 0.701325 [0.498077,0.808081] relative_absolute_error 0.881915 root_mean_prior_squared_error 0.475167 root_mean_squared_error 0.449431 root_relative_squared_error 0.945838 scimark_benchmark 906.088382 [553.9030000092794, 941.8157401795005, 438.62003434576457, 880.860264734365, 1715.242872852011] total_cost 0 usercpu_time_millis 10 usercpu_time_millis_testing 0 usercpu_time_millis_training 10 area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.483333 [0.483333,0.483333] area_under_roc_curve 0.883333 [0.883333,0.883333] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.591667 [0.591667,0.591667] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.68 [0.68,0.68] area_under_roc_curve 0.62 [0.62,0.62] area_under_roc_curve 0.49 [0.49,0.49] area_under_roc_curve 0.63 [0.63,0.63] area_under_roc_curve 0.54 [0.54,0.54] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.72 [0.72,0.72] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.685185 [0.685185,0.685185] area_under_roc_curve 0.68 [0.68,0.68] area_under_roc_curve 0.44 [0.44,0.44] area_under_roc_curve 0.66 [0.66,0.66] area_under_roc_curve 0.61 [0.61,0.61] area_under_roc_curve 0.76 [0.76,0.76] area_under_roc_curve 0.76 [0.76,0.76] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.98 [0.98,0.98] area_under_roc_curve 0.77 [0.77,0.77] area_under_roc_curve 0.82 [0.82,0.82] area_under_roc_curve 0.94 [0.94,0.94] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.66 [0.66,0.66] area_under_roc_curve 0.53 [0.53,0.53] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.62 [0.62,0.62] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.73 [0.73,0.73] area_under_roc_curve 0.77 [0.77,0.77] area_under_roc_curve 0.87 [0.87,0.87] area_under_roc_curve 0.66 [0.66,0.66] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.39 [0.39,0.39] area_under_roc_curve 0.68 [0.68,0.68] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.87 [0.87,0.87] area_under_roc_curve 0.73 [0.73,0.73] area_under_roc_curve 0.57 [0.57,0.57] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.63 [0.63,0.63] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.82 [0.82,0.82] area_under_roc_curve 0.81 [0.81,0.81] area_under_roc_curve 0.76 [0.76,0.76] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.52 [0.52,0.52] area_under_roc_curve 0.72 [0.72,0.72] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.58 [0.58,0.58] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.89 [0.89,0.89] area_under_roc_curve 0.51 [0.51,0.51] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.49 [0.49,0.49] area_under_roc_curve 0.52 [0.52,0.52] area_under_roc_curve 0.67 [0.67,0.67] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 0.71 [0.71,0.71] area_under_roc_curve 0.82 [0.82,0.82] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.81 [0.81,0.81] area_under_roc_curve 0.67 [0.67,0.67] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.56 [0.56,0.56] area_under_roc_curve 0.703704 [0.703704,0.703704] area_under_roc_curve 0.731481 [0.731481,0.731481] area_under_roc_curve 0.777778 [0.777778,0.777778] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.648148 [0.648148,0.648148] area_under_roc_curve 0.67 [0.67,0.67] area_under_roc_curve 0.62037 [0.62037,0.62037] area_under_roc_curve 0.81 [0.81,0.81] area_under_roc_curve 0.564815 [0.564815,0.564815] area_under_roc_curve 0.74 [0.74,0.74] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.5 [0.333333,0.6] f_measure 0.708333 [0.5,0.833333] f_measure 0.604545 [0.4,0.727273] f_measure 0.808442 [0.727273,0.857143] f_measure 0.808442 [0.727273,0.857143] f_measure 0.625 [0.5,0.7] f_measure 0.680736 [0.545455,0.761905] f_measure 0.753968 [0.714286,0.777778] f_measure 0.808442 [0.727273,0.857143] f_measure 0.5625 [0.25,0.75] f_measure 0.6 [0.4,0.7] f_measure 0.6 [0.4,0.7] f_measure 0.518519 [0.222222,0.666667] f_measure 0.616977 [0.285714,0.782609] f_measure 0.47619 [0.428571,0.5] f_measure 0.533333 [0.533333,0.533333] f_measure 0.793651 [0.666667,0.857143] f_measure 0.80181 [0.769231,0.823529] f_measure 0.733333 [0.6,0.8] f_measure 0.666667 [0.666667,0.666667] f_measure 0.856061 [0.75,0.909091] f_measure 0.6 [0.4,0.7] f_measure 0.616977 [0.285714,0.782609] f_measure 0.6 [0.4,0.7] f_measure 0.675716 [0.615385,0.705882] f_measure 0.673046 [0.545455,0.736842] f_measure 0.770186 [0.571429,0.869565] f_measure 0.712121 [0.5,0.818182] f_measure 0.803828 [0.727273,0.842105] f_measure 0.770186 [0.571429,0.869565] 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 0.6 [0.4,0.7] f_measure 0.666667 [0.333333,0.833333] f_measure 0.424242 [0,0.636364] f_measure 0.533333 [0.533333,0.533333] f_measure 0.666667 [0.333333,0.833333] f_measure 0.673046 [0.545455,0.736842] f_measure 0.656085 [0.444444,0.761905] f_measure 0.463768 [0,0.695652] 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 0.424242 [0,0.636364] f_measure 0.47619 [0.428571,0.5] f_measure 0.733333 [0.6,0.8] f_measure 0.856061 [0.75,0.909091] f_measure 0.712121 [0.5,0.818182] f_measure 0.656085 [0.444444,0.761905] f_measure 0.656085 [0.444444,0.761905] f_measure 0.616977 [0.285714,0.782609] 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 0.793651 [0.666667,0.857143] f_measure 0.793651 [0.666667,0.857143] f_measure 0.931217 [0.888889,0.952381] f_measure 0.666667 [0.333333,0.833333] f_measure 0.803828 [0.727273,0.842105] f_measure 0.866667 [0.8,0.9] f_measure 0.616977 [0.285714,0.782609] f_measure 0.712121 [0.5,0.818182] f_measure 0.733333 [0.6,0.8] f_measure 0.803828 [0.727273,0.842105] f_measure 0.934609 [0.909091,0.947368] f_measure 0.656085 [0.444444,0.761905] f_measure 0.607143 [0.571429,0.625] 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 0.793651 [0.666667,0.857143] f_measure 0.47619 [0.428571,0.5] f_measure 0.740741 [0.666667,0.777778] f_measure 0.542265 [0.363636,0.631579] f_measure 0.712121 [0.5,0.818182] f_measure 0.568182 [0.25,0.727273] f_measure 0.518519 [0.222222,0.666667] f_measure 0.712121 [0.5,0.818182] f_measure 0.856061 [0.75,0.909091] f_measure 0.856061 [0.75,0.909091] f_measure 0.656085 [0.444444,0.761905] f_measure 0.856061 [0.75,0.909091] f_measure 0.666667 [0.333333,0.833333] f_measure 0.616977 [0.285714,0.782609] f_measure 0.793651 [0.666667,0.857143] f_measure 0.666667 [0.333333,0.833333] f_measure 0.866667 [0.8,0.9] f_measure 0.568182 [0.25,0.727273] f_measure 0.728571 [0.75,0.714286] f_measure 0.537557 [0.461538,0.588235] f_measure 0.796172 [0.727273,0.842105] f_measure 0.660287 [0.545455,0.736842] f_measure 0.735714 [0.714286,0.75] f_measure 0.733333 [0.6,0.8] f_measure 0.6 [0.5,0.666667] f_measure 0.770186 [0.571429,0.869565] f_measure 0.6 [0.5,0.666667] f_measure 0.733333 [0.6,0.8] kappa -0.066667 kappa 0.384615 kappa 0.142857 kappa 0.586207 kappa 0.586207 kappa 0.2 kappa 0.310345 kappa 0.5 kappa 0.586207 kappa 0.076923 kappa 0.1 kappa 0.1 kappa -0.105263 kappa 0.117647 kappa 0 kappa 0.102564 kappa 0.526316 kappa 0.594595 kappa 0.4 kappa 0.358974 kappa 0.666667 kappa 0.1 kappa 0.117647 kappa 0.1 kappa 0.347826 kappa 0.285714 kappa 0.470588 kappa 0.333333 kappa 0.571429 kappa 0.470588 kappa 0.4 kappa 0.7 kappa 0.526316 kappa 0.1 kappa 0.25 kappa -0.333333 kappa 0.16 kappa 0.25 kappa 0.285714 kappa 0.210526 kappa -0.235294 kappa 0.117647 kappa 0.285714 kappa 0.210526 kappa -0.333333 kappa 0 kappa 0.4 kappa 0.666667 kappa 0.333333 kappa 0.210526 kappa 0.210526 kappa 0.117647 kappa 0.4 kappa 0.333333 kappa 0.4 kappa 0.526316 kappa 0.526316 kappa 0.842105 kappa 0.25 kappa 0.571429 kappa 0.7 kappa 0.117647 kappa 0.333333 kappa 0.4 kappa 0.571429 kappa 0.857143 kappa 0.210526 kappa 0.25 kappa 0.470588 kappa 0.333333 kappa 0.333333 kappa 0.117647 kappa 0.526316 kappa 0 kappa 0.454545 kappa 0 kappa 0.333333 kappa 0 kappa -0.105263 kappa 0.333333 kappa 0.666667 kappa 0.666667 kappa 0.210526 kappa 0.666667 kappa 0.25 kappa 0.117647 kappa 0.526316 kappa 0.25 kappa 0.7 kappa 0 kappa 0.5 kappa 0.054054 kappa 0.571429 kappa 0.285714 kappa 0.473684 kappa 0.4 kappa 0.166667 kappa 0.470588 kappa 0.166667 kappa 0.4 kb_relative_information_score -0.106296 kb_relative_information_score 5.014267 kb_relative_information_score -1.689617 kb_relative_information_score 4.415632 kb_relative_information_score 3.447203 kb_relative_information_score 0.352005 kb_relative_information_score 2.167693 kb_relative_information_score 3.203721 kb_relative_information_score 4.535584 kb_relative_information_score 1.107507 kb_relative_information_score 0.782934 kb_relative_information_score -0.375154 kb_relative_information_score -0.591049 kb_relative_information_score 1.547562 kb_relative_information_score -1.460044 kb_relative_information_score -1.396406 kb_relative_information_score 2.204896 kb_relative_information_score 3.033809 kb_relative_information_score -0.113231 kb_relative_information_score 1.12749 kb_relative_information_score 3.322828 kb_relative_information_score -1.30389 kb_relative_information_score 2.202791 kb_relative_information_score 0.032346 kb_relative_information_score 1.139172 kb_relative_information_score 1.92768 kb_relative_information_score 1.844247 kb_relative_information_score 1.76815 kb_relative_information_score 2.276216 kb_relative_information_score 3.861542 kb_relative_information_score 2.757666 kb_relative_information_score 1.305609 kb_relative_information_score 4.538513 kb_relative_information_score 0.734325 kb_relative_information_score 2.35131 kb_relative_information_score 0.206234 kb_relative_information_score -0.373072 kb_relative_information_score 2.006682 kb_relative_information_score 0.754426 kb_relative_information_score 3.060827 kb_relative_information_score 1.191971 kb_relative_information_score 4.317718 kb_relative_information_score 1.415818 kb_relative_information_score 1.409744 kb_relative_information_score -0.903548 kb_relative_information_score -0.325981 kb_relative_information_score 2.229275 kb_relative_information_score 4.984468 kb_relative_information_score 1.437165 kb_relative_information_score -0.288151 kb_relative_information_score 2.890454 kb_relative_information_score 0.456055 kb_relative_information_score 1.060596 kb_relative_information_score 2.733878 kb_relative_information_score 2.814245 kb_relative_information_score 2.223019 kb_relative_information_score 1.906553 kb_relative_information_score 3.221923 kb_relative_information_score 0.727034 kb_relative_information_score 1.758918 kb_relative_information_score 1.800754 kb_relative_information_score 0.720943 kb_relative_information_score 2.935871 kb_relative_information_score -0.607425 kb_relative_information_score 4.047665 kb_relative_information_score 2.92799 kb_relative_information_score 1.209118 kb_relative_information_score 0.124971 kb_relative_information_score 4.514455 kb_relative_information_score 4.328188 kb_relative_information_score 0.844844 kb_relative_information_score 2.440204 kb_relative_information_score 4.637376 kb_relative_information_score -2.926203 kb_relative_information_score 1.397627 kb_relative_information_score 0.306541 kb_relative_information_score 0.317478 kb_relative_information_score -0.248527 kb_relative_information_score -0.577531 kb_relative_information_score 1.621143 kb_relative_information_score 3.642458 kb_relative_information_score 4.885009 kb_relative_information_score 1.562226 kb_relative_information_score 2.54551 kb_relative_information_score 2.008361 kb_relative_information_score 2.384954 kb_relative_information_score 2.078137 kb_relative_information_score -0.051996 kb_relative_information_score 1.005116 kb_relative_information_score 0.306285 kb_relative_information_score 2.305759 kb_relative_information_score 1.905932 kb_relative_information_score 3.25755 kb_relative_information_score 2.401117 kb_relative_information_score 2.149374 kb_relative_information_score 2.032838 kb_relative_information_score 1.021484 kb_relative_information_score 3.213198 kb_relative_information_score 0.561239 kb_relative_information_score 1.674768 mean_absolute_error 0.445677 mean_absolute_error 0.329802 mean_absolute_error 0.493898 mean_absolute_error 0.355746 mean_absolute_error 0.37939 mean_absolute_error 0.446836 mean_absolute_error 0.402958 mean_absolute_error 0.380119 mean_absolute_error 0.351066 mean_absolute_error 0.429505 mean_absolute_error 0.412471 mean_absolute_error 0.436764 mean_absolute_error 0.443807 mean_absolute_error 0.388458 mean_absolute_error 0.465777 mean_absolute_error 0.498303 mean_absolute_error 0.382658 mean_absolute_error 0.404572 mean_absolute_error 0.438824 mean_absolute_error 0.429527 mean_absolute_error 0.353891 mean_absolute_error 0.474082 mean_absolute_error 0.367609 mean_absolute_error 0.437414 mean_absolute_error 0.405985 mean_absolute_error 0.38952 mean_absolute_error 0.400185 mean_absolute_error 0.386958 mean_absolute_error 0.384304 mean_absolute_error 0.347893 mean_absolute_error 0.36255 mean_absolute_error 0.406408 mean_absolute_error 0.336088 mean_absolute_error 0.418456 mean_absolute_error 0.386638 mean_absolute_error 0.41722 mean_absolute_error 0.441743 mean_absolute_error 0.387949 mean_absolute_error 0.40976 mean_absolute_error 0.364664 mean_absolute_error 0.413872 mean_absolute_error 0.322055 mean_absolute_error 0.396363 mean_absolute_error 0.388036 mean_absolute_error 0.457581 mean_absolute_error 0.445053 mean_absolute_error 0.379383 mean_absolute_error 0.314551 mean_absolute_error 0.402211 mean_absolute_error 0.446234 mean_absolute_error 0.361519 mean_absolute_error 0.426162 mean_absolute_error 0.407543 mean_absolute_error 0.360325 mean_absolute_error 0.369269 mean_absolute_error 0.379141 mean_absolute_error 0.393094 mean_absolute_error 0.366572 mean_absolute_error 0.416195 mean_absolute_error 0.391623 mean_absolute_error 0.394215 mean_absolute_error 0.413192 mean_absolute_error 0.367949 mean_absolute_error 0.454182 mean_absolute_error 0.327641 mean_absolute_error 0.365727 mean_absolute_error 0.414802 mean_absolute_error 0.436174 mean_absolute_error 0.326281 mean_absolute_error 0.323572 mean_absolute_error 0.410506 mean_absolute_error 0.380992 mean_absolute_error 0.319748 mean_absolute_error 0.507432 mean_absolute_error 0.407666 mean_absolute_error 0.423754 mean_absolute_error 0.422047 mean_absolute_error 0.430524 mean_absolute_error 0.439182 mean_absolute_error 0.401434 mean_absolute_error 0.333618 mean_absolute_error 0.310916 mean_absolute_error 0.39801 mean_absolute_error 0.372677 mean_absolute_error 0.379548 mean_absolute_error 0.364334 mean_absolute_error 0.387506 mean_absolute_error 0.437278 mean_absolute_error 0.413252 mean_absolute_error 0.425904 mean_absolute_error 0.403989 mean_absolute_error 0.420727 mean_absolute_error 0.383326 mean_absolute_error 0.398662 mean_absolute_error 0.419115 mean_absolute_error 0.391566 mean_absolute_error 0.433698 mean_absolute_error 0.356094 mean_absolute_error 0.453656 mean_absolute_error 0.394576 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 0.5 [0.333333,0.6] precision 0.821429 [1,0.714286] precision 0.604167 [0.5,0.666667] precision 0.811364 [0.8,0.818182] precision 0.811364 [0.8,0.818182] precision 0.625 [0.5,0.7] precision 0.679545 [0.6,0.727273] precision 0.78125 [0.625,0.875] precision 0.811364 [0.8,0.818182] precision 0.589286 [0.5,0.642857] precision 0.6 [0.4,0.7] precision 0.6 [0.4,0.7] precision 0.507576 [0.25,0.636364] precision 0.628205 [0.5,0.692308] precision 0.555556 [0.333333,0.666667] precision 0.577778 [0.444444,0.666667] precision 0.795455 [0.75,0.818182] precision 0.810714 [0.714286,0.875] precision 0.733333 [0.6,0.8] precision 0.722222 [0.555556,0.833333] precision 0.888889 [1,0.833333] precision 0.6 [0.4,0.7] precision 0.628205 [0.5,0.692308] precision 0.6 [0.4,0.7] precision 0.738095 [0.5,0.857143] precision 0.685185 [0.5,0.777778] precision 0.846154 [1,0.769231] precision 0.722222 [0.666667,0.75] precision 0.814815 [0.666667,0.888889] precision 0.846154 [1,0.769231] precision 0.733333 [0.6,0.8] precision 0.866667 [0.8,0.9] precision 0.795455 [0.75,0.818182] precision 0.6 [0.4,0.7] precision 0.809524 [1,0.714286] precision 0.388889 [0,0.583333] precision 0.666667 [0.4,0.8] precision 0.809524 [1,0.714286] precision 0.685185 [0.5,0.777778] precision 0.651515 [0.5,0.727273] precision 0.410256 [0,0.615385] precision 0.628205 [0.5,0.692308] precision 0.685185 [0.5,0.777778] precision 0.651515 [0.5,0.727273] precision 0.388889 [0,0.583333] precision 0.555556 [0.333333,0.666667] precision 0.733333 [0.6,0.8] precision 0.888889 [1,0.833333] precision 0.722222 [0.666667,0.75] precision 0.651515 [0.5,0.727273] precision 0.651515 [0.5,0.727273] precision 0.628205 [0.5,0.692308] precision 0.733333 [0.6,0.8] precision 0.722222 [0.666667,0.75] precision 0.733333 [0.6,0.8] precision 0.795455 [0.75,0.818182] precision 0.795455 [0.75,0.818182] precision 0.939394 [1,0.909091] precision 0.809524 [1,0.714286] precision 0.814815 [0.666667,0.888889] precision 0.866667 [0.8,0.9] precision 0.628205 [0.5,0.692308] precision 0.722222 [0.666667,0.75] precision 0.733333 [0.6,0.8] precision 0.814815 [0.666667,0.888889] precision 0.944444 [0.833333,1] precision 0.651515 [0.5,0.727273] precision 0.703704 [0.444444,0.833333] 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 0.795455 [0.75,0.818182] precision 0.555556 [0.333333,0.666667] precision 0.77381 [0.571429,0.875] precision 0.555556 [0.333333,0.666667] precision 0.722222 [0.666667,0.75] precision 0.555556 [0.333333,0.666667] precision 0.507576 [0.25,0.636364] precision 0.722222 [0.666667,0.75] precision 0.888889 [1,0.833333] precision 0.888889 [1,0.833333] precision 0.651515 [0.5,0.727273] precision 0.888889 [1,0.833333] precision 0.809524 [1,0.714286] precision 0.628205 [0.5,0.692308] precision 0.795455 [0.75,0.818182] precision 0.809524 [1,0.714286] precision 0.866667 [0.8,0.9] precision 0.555556 [0.333333,0.666667] precision 0.84 [0.6,1] precision 0.546429 [0.428571,0.625] precision 0.8 [0.8,0.8] precision 0.66 [0.6,0.7] precision 0.764286 [0.625,0.857143] precision 0.733333 [0.6,0.8] precision 0.6 [0.5,0.666667] precision 0.846154 [1,0.769231] precision 0.6 [0.5,0.666667] precision 0.733333 [0.6,0.8] predictive_accuracy 0.5 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.8125 predictive_accuracy 0.8125 predictive_accuracy 0.625 predictive_accuracy 0.6875 predictive_accuracy 0.75 predictive_accuracy 0.8125 predictive_accuracy 0.625 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.533333 predictive_accuracy 0.666667 predictive_accuracy 0.466667 predictive_accuracy 0.533333 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.866667 predictive_accuracy 0.6 predictive_accuracy 0.666667 predictive_accuracy 0.6 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.733333 predictive_accuracy 0.466667 predictive_accuracy 0.533333 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.533333 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.466667 predictive_accuracy 0.466667 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.733333 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 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.666667 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.466667 predictive_accuracy 0.733333 predictive_accuracy 0.533333 predictive_accuracy 0.733333 predictive_accuracy 0.6 predictive_accuracy 0.533333 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.6 predictive_accuracy 0.733333 predictive_accuracy 0.533333 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.6 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 [0.333333,0.6] recall 0.75 [0.333333,1] recall 0.625 [0.333333,0.8] recall 0.8125 [0.666667,0.9] recall 0.8125 [0.666667,0.9] recall 0.625 [0.5,0.7] recall 0.6875 [0.5,0.8] recall 0.75 [0.833333,0.7] recall 0.8125 [0.666667,0.9] recall 0.625 [0.166667,0.9] recall 0.6 [0.4,0.7] recall 0.6 [0.4,0.7] recall 0.533333 [0.2,0.7] recall 0.666667 [0.2,0.9] recall 0.466667 [0.6,0.4] recall 0.533333 [0.666667,0.444444] recall 0.8 [0.6,0.9] recall 0.8 [0.833333,0.777778] recall 0.733333 [0.6,0.8] recall 0.666667 [0.833333,0.555556] recall 0.866667 [0.6,1] recall 0.6 [0.4,0.7] recall 0.666667 [0.2,0.9] recall 0.6 [0.4,0.7] recall 0.666667 [0.8,0.6] recall 0.666667 [0.6,0.7] recall 0.8 [0.4,1] recall 0.733333 [0.4,0.9] recall 0.8 [0.8,0.8] recall 0.8 [0.4,1] recall 0.733333 [0.6,0.8] recall 0.866667 [0.8,0.9] recall 0.8 [0.6,0.9] recall 0.6 [0.4,0.7] recall 0.733333 [0.2,1] recall 0.466667 [0,0.7] recall 0.533333 [0.8,0.4] recall 0.733333 [0.2,1] recall 0.666667 [0.6,0.7] recall 0.666667 [0.4,0.8] recall 0.533333 [0,0.8] recall 0.666667 [0.2,0.9] recall 0.666667 [0.6,0.7] recall 0.666667 [0.4,0.8] recall 0.466667 [0,0.7] recall 0.466667 [0.6,0.4] recall 0.733333 [0.6,0.8] recall 0.866667 [0.6,1] recall 0.733333 [0.4,0.9] recall 0.666667 [0.4,0.8] recall 0.666667 [0.4,0.8] recall 0.666667 [0.2,0.9] recall 0.733333 [0.6,0.8] recall 0.733333 [0.4,0.9] recall 0.733333 [0.6,0.8] recall 0.8 [0.6,0.9] recall 0.8 [0.6,0.9] recall 0.933333 [0.8,1] recall 0.733333 [0.2,1] recall 0.8 [0.8,0.8] recall 0.866667 [0.8,0.9] recall 0.666667 [0.2,0.9] recall 0.733333 [0.4,0.9] recall 0.733333 [0.6,0.8] recall 0.8 [0.8,0.8] recall 0.933333 [1,0.9] recall 0.666667 [0.4,0.8] recall 0.6 [0.8,0.5] 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 0.8 [0.6,0.9] recall 0.466667 [0.6,0.4] recall 0.733333 [0.8,0.7] recall 0.533333 [0.4,0.6] recall 0.733333 [0.4,0.9] recall 0.6 [0.2,0.8] recall 0.533333 [0.2,0.7] recall 0.733333 [0.4,0.9] recall 0.866667 [0.6,1] recall 0.866667 [0.6,1] recall 0.666667 [0.4,0.8] recall 0.866667 [0.6,1] recall 0.733333 [0.2,1] recall 0.666667 [0.2,0.9] recall 0.8 [0.6,0.9] recall 0.733333 [0.2,1] recall 0.866667 [0.8,0.9] recall 0.6 [0.2,0.8] recall 0.733333 [1,0.555556] recall 0.533333 [0.5,0.555556] recall 0.8 [0.666667,0.888889] recall 0.666667 [0.5,0.777778] recall 0.733333 [0.833333,0.666667] recall 0.733333 [0.6,0.8] recall 0.6 [0.5,0.666667] recall 0.8 [0.4,1] recall 0.6 [0.5,0.666667] recall 0.733333 [0.6,0.8] relative_absolute_error 0.965501 relative_absolute_error 0.714473 relative_absolute_error 1.069967 relative_absolute_error 0.770679 relative_absolute_error 0.8219 relative_absolute_error 0.968013 relative_absolute_error 0.872958 relative_absolute_error 0.823479 relative_absolute_error 0.760538 relative_absolute_error 0.930467 relative_absolute_error 0.91905 relative_absolute_error 0.973178 relative_absolute_error 0.988871 relative_absolute_error 0.865544 relative_absolute_error 1.037824 relative_absolute_error 1.061843 relative_absolute_error 0.852621 relative_absolute_error 0.862111 relative_absolute_error 0.977768 relative_absolute_error 0.915288 relative_absolute_error 0.788524 relative_absolute_error 1.056329 relative_absolute_error 0.819089 relative_absolute_error 0.974626 relative_absolute_error 0.904597 relative_absolute_error 0.867911 relative_absolute_error 0.891674 relative_absolute_error 0.862203 relative_absolute_error 0.85629 relative_absolute_error 0.775161 relative_absolute_error 0.807818 relative_absolute_error 0.90554 relative_absolute_error 0.748857 relative_absolute_error 0.932384 relative_absolute_error 0.86149 relative_absolute_error 0.92963 relative_absolute_error 0.984272 relative_absolute_error 0.86441 relative_absolute_error 0.913008 relative_absolute_error 0.812527 relative_absolute_error 0.92217 relative_absolute_error 0.717589 relative_absolute_error 0.883157 relative_absolute_error 0.864605 relative_absolute_error 1.019561 relative_absolute_error 0.991647 relative_absolute_error 0.845325 relative_absolute_error 0.700868 relative_absolute_error 0.896189 relative_absolute_error 0.994278 relative_absolute_error 0.80552 relative_absolute_error 0.949556 relative_absolute_error 0.90807 relative_absolute_error 0.802859 relative_absolute_error 0.822789 relative_absolute_error 0.844786 relative_absolute_error 0.875875 relative_absolute_error 0.816779 relative_absolute_error 0.927348 relative_absolute_error 0.872598 relative_absolute_error 0.878372 relative_absolute_error 0.920657 relative_absolute_error 0.819848 relative_absolute_error 1.011988 relative_absolute_error 0.730035 relative_absolute_error 0.814896 relative_absolute_error 0.924244 relative_absolute_error 0.971864 relative_absolute_error 0.727004 relative_absolute_error 0.720968 relative_absolute_error 0.914672 relative_absolute_error 0.848908 relative_absolute_error 0.712449 relative_absolute_error 1.130636 relative_absolute_error 0.908343 relative_absolute_error 0.94419 relative_absolute_error 0.940386 relative_absolute_error 0.959274 relative_absolute_error 0.978565 relative_absolute_error 0.894458 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