337825 2 Joaquin Vanschoren 4280 Supervised Classification predictive_accuracy 1200 weka.LADTree(4) 2070 weka.classifiers.trees.LADTree -- -B 10 B 10 1200 weka weka_3.7.12 682 sleuth_ex2016 https://www.openml.org/data/download/52982/sleuth_ex2016.arff -1 1158898 description https://api.openml.org/data/download/1158898/weka_generated_run8548219166205285493.xml -1 1158901 model_readable https://api.openml.org/data/download/1158901/WekaModel_weka.classifiers.trees.LADTree90488252461231686.model -1 1158900 model_serialized https://api.openml.org/data/download/1158900/WekaSerialized_weka.classifiers.trees.LADTree4023313677334393171.model -1 1158899 predictions https://api.openml.org/data/download/1158899/weka_generated_predictions6383133510760474859.arff area_under_roc_curve 0.67512 [0.67512,0.67512] average_cost 0 f_measure 0.6302 [0.676028,0.565276] kappa 0.241845 kb_relative_information_score 171.941392 mean_absolute_error 0.388505 mean_prior_absolute_error 0.485471 number_of_instances 870 [510,360] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.632534 [0.691992,0.548303] predictive_accuracy 0.628736 prior_entropy 0.979412 recall 0.628736 [0.660784,0.583333] relative_absolute_error 0.800264 root_mean_prior_squared_error 0.492516 root_mean_squared_error 0.527706 root_relative_squared_error 1.071449 scimark_benchmark 1364.990954 [817.7405200469505, 1012.5880246437401, 547.5481095352231, 1115.9812794988438, 3331.096834563805] total_cost 0 usercpu_time_millis 10 usercpu_time_millis_testing 0 usercpu_time_millis_training 10 area_under_roc_curve 1 [1,1] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.825 [0.825,0.825] area_under_roc_curve 0.472222 [0.472222,0.472222] area_under_roc_curve 0.861111 [0.861111,0.861111] area_under_roc_curve 0.777778 [0.777778,0.777778] area_under_roc_curve 0.3 [0.3,0.3] area_under_roc_curve 0.388889 [0.388889,0.388889] area_under_roc_curve 0.575 [0.575,0.575] area_under_roc_curve 0.888889 [0.888889,0.888889] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.975 [0.975,0.975] area_under_roc_curve 0.725 [0.725,0.725] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.825 [0.825,0.825] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.575 [0.575,0.575] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.825 [0.825,0.825] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.825 [0.825,0.825] area_under_roc_curve 0.95 [0.95,0.95] area_under_roc_curve 0.175 [0.175,0.175] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.45 [0.45,0.45] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.725 [0.725,0.725] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.575 [0.575,0.575] area_under_roc_curve 0.675 [0.675,0.675] area_under_roc_curve 0.425 [0.425,0.425] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.425 [0.425,0.425] area_under_roc_curve 0.725 [0.725,0.725] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.575 [0.575,0.575] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.475 [0.475,0.475] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.575 [0.575,0.575] area_under_roc_curve 0.725 [0.725,0.725] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.525 [0.525,0.525] area_under_roc_curve 0.333333 [0.333333,0.333333] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.575 [0.575,0.575] area_under_roc_curve 0.725 [0.725,0.725] area_under_roc_curve 0.722222 [0.722222,0.722222] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.583333 [0.583333,0.583333] area_under_roc_curve 0.575 [0.575,0.575] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.233333 [0.233333,0.233333] area_under_roc_curve 0.433333 [0.433333,0.433333] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.866667 [0.866667,0.866667] area_under_roc_curve 0.966667 [0.966667,0.966667] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.333333 [0.333333,0.333333] area_under_roc_curve 0.433333 [0.433333,0.433333] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.933333 [0.933333,0.933333] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.566667 [0.566667,0.566667] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.4 [0.4,0.4] area_under_roc_curve 0.333333 [0.333333,0.333333] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.866667 [0.866667,0.866667] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.366667 [0.366667,0.366667] area_under_roc_curve 0.466667 [0.466667,0.466667] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.4 [0.4,0.4] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.759259 [0.833333,0.666667] f_measure 0.675325 [0.727273,0.571429] f_measure 0.544444 [0.5,0.6] f_measure 0.555556 [0.666667,0.333333] f_measure 0.533333 [0.5,0.6] f_measure 0.566667 [0.6,0.5] f_measure 0.222222 [0.222222,0.222222] f_measure 0.458874 [0.545455,0.285714] f_measure 0.555556 [0.6,0.5] f_measure 0.777778 [0.833333,0.666667] f_measure 0.444444 [0.444444,0.444444] f_measure 0.777778 [0.8,0.75] f_measure 0.481481 [0.333333,0.666667] f_measure 0.888889 [0.888889,0.888889] f_measure 0.666667 [0.666667,0.666667] f_measure 0.430014 [0.545455,0.285714] f_measure 0.759259 [0.833333,0.666667] f_measure 0.777778 [0.8,0.75] f_measure 0.518519 [0.666667,0.333333] f_measure 0.518519 [0.666667,0.333333] f_measure 0.777778 [0.8,0.75] f_measure 0.481481 [0.333333,0.666667] f_measure 0.759259 [0.833333,0.666667] f_measure 1 [1,1] f_measure 0.777778 [0.8,0.75] f_measure 0.396825 [0.714286,0] f_measure 0.555556 [0.6,0.5] f_measure 0.430014 [0.545455,0.285714] f_measure 0.640693 [0.571429,0.727273] f_measure 0.772222 [0.75,0.8] f_measure 0.401154 [0.285714,0.545455] f_measure 0.777778 [0.8,0.75] f_measure 0.277778 [0.5,0] f_measure 0.888889 [0.888889,0.888889] f_measure 0.605128 [0.769231,0.4] f_measure 1 [1,1] f_measure 0.777778 [0.8,0.75] f_measure 0.430014 [0.545455,0.285714] f_measure 0.888889 [0.888889,0.888889] f_measure 0.544444 [0.5,0.6] f_measure 0.777778 [0.8,0.75] f_measure 0.555556 [0.6,0.5] f_measure 0.401154 [0.285714,0.545455] f_measure 0.518519 [0.666667,0.333333] f_measure 0.333333 [0.4,0.25] f_measure 0.658009 [0.727273,0.571429] f_measure 0.430014 [0.545455,0.285714] f_measure 0.316667 [0.25,0.4] f_measure 0.658009 [0.727273,0.571429] f_measure 0.777778 [0.8,0.75] f_measure 0.658009 [0.727273,0.571429] f_measure 0.518519 [0.666667,0.333333] f_measure 0.658009 [0.727273,0.571429] f_measure 0.544444 [0.5,0.6] f_measure 0.666667 [0.666667,0.666667] f_measure 0.777778 [0.8,0.75] f_measure 0.658009 [0.727273,0.571429] f_measure 0.555556 [0.6,0.5] f_measure 0.605128 [0.769231,0.4] f_measure 0.605128 [0.769231,0.4] f_measure 0.566667 [0.6,0.5] f_measure 0.333333 [0.4,0.25] f_measure 0.646154 [0.769231,0.4] f_measure 0.658009 [0.727273,0.571429] f_measure 0.544444 [0.5,0.6] f_measure 0.555556 [0.6,0.5] f_measure 0.777778 [0.833333,0.666667] f_measure 0.640693 [0.571429,0.727273] f_measure 0.566667 [0.6,0.5] f_measure 0.401154 [0.285714,0.545455] f_measure 0.607143 [0.571429,0.666667] f_measure 0.630952 [0.666667,0.571429] f_measure 0.480769 [0.769231,0] f_measure 0.604545 [0.727273,0.4] f_measure 0.433333 [0.333333,0.6] f_measure 0.604545 [0.727273,0.4] f_measure 0.708333 [0.833333,0.5] f_measure 0.75 [0.75,0.75] f_measure 0.876984 [0.888889,0.857143] f_measure 0.708333 [0.833333,0.5] f_measure 0.5 [0.6,0.333333] f_measure 0.5 [0.6,0.333333] f_measure 0.5 [0.5,0.5] f_measure 0.868182 [0.909091,0.8] f_measure 0.876984 [0.888889,0.857143] f_measure 0.868182 [0.909091,0.8] f_measure 0.15 [0,0.4] f_measure 0.876984 [0.888889,0.857143] f_measure 0.5 [0.6,0.333333] f_measure 0.604545 [0.727273,0.4] f_measure 0.630952 [0.666667,0.571429] f_measure 0.607143 [0.571429,0.666667] f_measure 0.604545 [0.727273,0.4] f_measure 0.607143 [0.571429,0.666667] f_measure 0.630952 [0.666667,0.571429] f_measure 0.604545 [0.727273,0.4] f_measure 0.5 [0.6,0.333333] f_measure 0.708333 [0.833333,0.5] f_measure 0.630952 [0.666667,0.571429] f_measure 0.480769 [0.769231,0] kappa 0.526316 kappa 0.307692 kappa 0.142857 kappa 0 kappa 0.25 kappa 0.142857 kappa -0.536585 kappa -0.153846 kappa 0.1 kappa 0.5 kappa -0.097561 kappa 0.55 kappa 0.181818 kappa 0.780488 kappa 0.341463 kappa -0.153846 kappa 0.526316 kappa 0.55 kappa 0.052632 kappa 0.052632 kappa 0.55 kappa 0.181818 kappa 0.526316 kappa 1 kappa 0.55 kappa 0 kappa 0.1 kappa -0.153846 kappa 0.372093 kappa 0.571429 kappa -0.046512 kappa 0.55 kappa -0.421053 kappa 0.780488 kappa 0.27027 kappa 1 kappa 0.55 kappa -0.153846 kappa 0.780488 kappa 0.142857 kappa 0.55 kappa 0.1 kappa -0.046512 kappa 0.052632 kappa -0.35 kappa 0.307692 kappa -0.153846 kappa -0.285714 kappa 0.307692 kappa 0.55 kappa 0.307692 kappa 0.052632 kappa 0.307692 kappa 0.142857 kappa 0.341463 kappa 0.55 kappa 0.307692 kappa 0.1 kappa 0.27027 kappa 0.27027 kappa 0.142857 kappa -0.35 kappa 0.181818 kappa 0.307692 kappa 0.142857 kappa 0.1 kappa 0.5 kappa 0.372093 kappa 0.142857 kappa -0.046512 kappa 0.333333 kappa 0.25 kappa 0 kappa 0.142857 kappa 0.157895 kappa 0.142857 kappa 0.384615 kappa 0.529412 kappa 0.75 kappa 0.384615 kappa -0.066667 kappa -0.066667 kappa 0.058824 kappa 0.714286 kappa 0.75 kappa 0.714286 kappa -0.263158 kappa 0.75 kappa -0.066667 kappa 0.142857 kappa 0.25 kappa 0.333333 kappa 0.142857 kappa 0.333333 kappa 0.25 kappa 0.142857 kappa -0.066667 kappa 0.384615 kappa 0.25 kappa 0 kb_relative_information_score 4.452504 kb_relative_information_score 1.8017 kb_relative_information_score 1.808585 kb_relative_information_score -0.397666 kb_relative_information_score 0.922651 kb_relative_information_score 0.938336 kb_relative_information_score -3.34311 kb_relative_information_score -1.85988 kb_relative_information_score 0.653448 kb_relative_information_score 4.005355 kb_relative_information_score -0.105129 kb_relative_information_score 4.447307 kb_relative_information_score 0.934087 kb_relative_information_score 5.426722 kb_relative_information_score 2.339228 kb_relative_information_score -1.558389 kb_relative_information_score 4.117954 kb_relative_information_score 3.812388 kb_relative_information_score 0.433961 kb_relative_information_score 0.951872 kb_relative_information_score 3.938848 kb_relative_information_score 0.653122 kb_relative_information_score 3.935093 kb_relative_information_score 7.491144 kb_relative_information_score 4.080696 kb_relative_information_score 1.742957 kb_relative_information_score 0.975771 kb_relative_information_score -0.181388 kb_relative_information_score 2.767766 kb_relative_information_score 4.101218 kb_relative_information_score -2.834318 kb_relative_information_score 3.822798 kb_relative_information_score -1.322034 kb_relative_information_score 5.327374 kb_relative_information_score 2.996463 kb_relative_information_score 7.240976 kb_relative_information_score 3.904005 kb_relative_information_score 0.240545 kb_relative_information_score 4.528603 kb_relative_information_score 1.070188 kb_relative_information_score 3.485593 kb_relative_information_score 1.958327 kb_relative_information_score -1.030353 kb_relative_information_score 1.63508 kb_relative_information_score -1.129048 kb_relative_information_score 3.247402 kb_relative_information_score -0.307666 kb_relative_information_score -1.933273 kb_relative_information_score 2.806967 kb_relative_information_score 3.932903 kb_relative_information_score 2.509802 kb_relative_information_score 1.170288 kb_relative_information_score 1.638415 kb_relative_information_score 0.35999 kb_relative_information_score 2.84633 kb_relative_information_score 3.810455 kb_relative_information_score 2.282401 kb_relative_information_score 0.776807 kb_relative_information_score 1.222697 kb_relative_information_score 2.860006 kb_relative_information_score 1.514059 kb_relative_information_score -2.071848 kb_relative_information_score 1.786217 kb_relative_information_score 2.707089 kb_relative_information_score 0.681568 kb_relative_information_score 2.334197 kb_relative_information_score 3.31094 kb_relative_information_score 2.550386 kb_relative_information_score 0.297427 kb_relative_information_score -0.300768 kb_relative_information_score 1.265932 kb_relative_information_score 1.326561 kb_relative_information_score 0.533279 kb_relative_information_score 1.186999 kb_relative_information_score -0.072451 kb_relative_information_score 1.624663 kb_relative_information_score 2.294194 kb_relative_information_score 3.133656 kb_relative_information_score 3.828207 kb_relative_information_score 3.252175 kb_relative_information_score -2.509428 kb_relative_information_score -0.696136 kb_relative_information_score 0.295193 kb_relative_information_score 4.539659 kb_relative_information_score 4.207044 kb_relative_information_score 2.546075 kb_relative_information_score -1.450458 kb_relative_information_score 3.859035 kb_relative_information_score -1.224526 kb_relative_information_score 0.573308 kb_relative_information_score 1.570707 kb_relative_information_score 1.590511 kb_relative_information_score 1.56518 kb_relative_information_score 1.373271 kb_relative_information_score 2.666814 kb_relative_information_score 2.377623 kb_relative_information_score -0.773185 kb_relative_information_score 1.661737 kb_relative_information_score 1.28215 kb_relative_information_score 0.89946 mean_absolute_error 0.273464 mean_absolute_error 0.373943 mean_absolute_error 0.380674 mean_absolute_error 0.487492 mean_absolute_error 0.406311 mean_absolute_error 0.408551 mean_absolute_error 0.647789 mean_absolute_error 0.554125 mean_absolute_error 0.454239 mean_absolute_error 0.25097 mean_absolute_error 0.490058 mean_absolute_error 0.257944 mean_absolute_error 0.434225 mean_absolute_error 0.21677 mean_absolute_error 0.375733 mean_absolute_error 0.572808 mean_absolute_error 0.275968 mean_absolute_error 0.300251 mean_absolute_error 0.461741 mean_absolute_error 0.432725 mean_absolute_error 0.290264 mean_absolute_error 0.453158 mean_absolute_error 0.287109 mean_absolute_error 0.111955 mean_absolute_error 0.283852 mean_absolute_error 0.388678 mean_absolute_error 0.432308 mean_absolute_error 0.485243 mean_absolute_error 0.341265 mean_absolute_error 0.283316 mean_absolute_error 0.629989 mean_absolute_error 0.297237 mean_absolute_error 0.540407 mean_absolute_error 0.227313 mean_absolute_error 0.327839 mean_absolute_error 0.123978 mean_absolute_error 0.293917 mean_absolute_error 0.458883 mean_absolute_error 0.267415 mean_absolute_error 0.430596 mean_absolute_error 0.314805 mean_absolute_error 0.36912 mean_absolute_error 0.536749 mean_absolute_error 0.392902 mean_absolute_error 0.530562 mean_absolute_error 0.313648 mean_absolute_error 0.500106 mean_absolute_error 0.579187 mean_absolute_error 0.339372 mean_absolute_error 0.287879 mean_absolute_error 0.359141 mean_absolute_error 0.420393 mean_absolute_error 0.412135 mean_absolute_error 0.473263 mean_absolute_error 0.339356 mean_absolute_error 0.298456 mean_absolute_error 0.375477 mean_absolute_error 0.448932 mean_absolute_error 0.42243 mean_absolute_error 0.336894 mean_absolute_error 0.375446 mean_absolute_error 0.581238 mean_absolute_error 0.376128 mean_absolute_error 0.345688 mean_absolute_error 0.4525 mean_absolute_error 0.361961 mean_absolute_error 0.299431 mean_absolute_error 0.364878 mean_absolute_error 0.444915 mean_absolute_error 0.492048 mean_absolute_error 0.400589 mean_absolute_error 0.395467 mean_absolute_error 0.442845 mean_absolute_error 0.402632 mean_absolute_error 0.471373 mean_absolute_error 0.370375 mean_absolute_error 0.343801 mean_absolute_error 0.289662 mean_absolute_error 0.260828 mean_absolute_error 0.283044 mean_absolute_error 0.614177 mean_absolute_error 0.511443 mean_absolute_error 0.443347 mean_absolute_error 0.21571 mean_absolute_error 0.228537 mean_absolute_error 0.332399 mean_absolute_error 0.538224 mean_absolute_error 0.262688 mean_absolute_error 0.542331 mean_absolute_error 0.443646 mean_absolute_error 0.375336 mean_absolute_error 0.37603 mean_absolute_error 0.37696 mean_absolute_error 0.391011 mean_absolute_error 0.316583 mean_absolute_error 0.332549 mean_absolute_error 0.519931 mean_absolute_error 0.392453 mean_absolute_error 0.398712 mean_absolute_error 0.427232 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.47191 mean_prior_absolute_error 0.490637 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 mean_prior_absolute_error 0.478933 number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [6,3] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 9 [6,3] number_of_instances 9 [5,4] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] number_of_instances 8 [5,3] precision 0.84127 [0.714286,1] precision 0.7 [0.8,0.5] precision 0.592593 [0.666667,0.5] precision 0.555556 [0.666667,0.333333] precision 0.809524 [1,0.428571] precision 0.633333 [0.75,0.4] precision 0.227778 [0.25,0.2] precision 0.483333 [0.6,0.25] precision 0.555556 [0.6,0.5] precision 0.777778 [0.833333,0.666667] precision 0.455556 [0.5,0.4] precision 0.777778 [0.8,0.75] precision 0.777778 [1,0.5] precision 0.911111 [1,0.8] precision 0.683333 [0.75,0.6] precision 0.425926 [0.5,0.333333] precision 0.84127 [0.714286,1] precision 0.777778 [0.8,0.75] precision 0.539683 [0.571429,0.5] precision 0.539683 [0.571429,0.5] precision 0.777778 [0.8,0.75] precision 0.777778 [1,0.5] precision 0.84127 [0.714286,1] precision 1 [1,1] precision 0.777778 [0.8,0.75] precision 0.308642 [0.555556,0] precision 0.555556 [0.6,0.5] precision 0.425926 [0.5,0.333333] precision 0.809524 [1,0.571429] precision 0.851852 [1,0.666667] precision 0.468254 [0.5,0.428571] precision 0.777778 [0.8,0.75] precision 0.238095 [0.428571,0] precision 0.911111 [1,0.8] precision 0.791667 [0.625,1] precision 1 [1,1] precision 0.777778 [0.8,0.75] precision 0.425926 [0.5,0.333333] precision 0.911111 [1,0.8] precision 0.592593 [0.666667,0.5] precision 0.777778 [0.8,0.75] precision 0.555556 [0.6,0.5] precision 0.468254 [0.5,0.428571] precision 0.539683 [0.571429,0.5] precision 0.333333 [0.4,0.25] precision 0.666667 [0.666667,0.666667] precision 0.425926 [0.5,0.333333] precision 0.333333 [0.333333,0.333333] precision 0.666667 [0.666667,0.666667] precision 0.777778 [0.8,0.75] precision 0.666667 [0.666667,0.666667] precision 0.539683 [0.571429,0.5] precision 0.666667 [0.666667,0.666667] precision 0.592593 [0.666667,0.5] precision 0.683333 [0.75,0.6] precision 0.777778 [0.8,0.75] precision 0.666667 [0.666667,0.666667] precision 0.555556 [0.6,0.5] precision 0.791667 [0.625,1] precision 0.791667 [0.625,1] precision 0.633333 [0.75,0.4] precision 0.333333 [0.4,0.25] precision 0.642857 [0.714286,0.5] precision 0.666667 [0.666667,0.666667] precision 0.592593 [0.666667,0.5] precision 0.555556 [0.6,0.5] precision 0.777778 [0.833333,0.666667] precision 0.809524 [1,0.571429] precision 0.633333 [0.75,0.4] precision 0.468254 [0.5,0.428571] precision 0.8125 [1,0.5] precision 0.65625 [0.75,0.5] precision 0.390625 [0.625,0] precision 0.604167 [0.666667,0.5] precision 0.785714 [1,0.428571] precision 0.604167 [0.666667,0.5] precision 0.821429 [0.714286,1] precision 0.85 [1,0.6] precision 0.90625 [1,0.75] precision 0.821429 [0.714286,1] precision 0.5 [0.6,0.333333] precision 0.5 [0.6,0.333333] precision 0.566667 [0.666667,0.4] precision 0.895833 [0.833333,1] precision 0.90625 [1,0.75] precision 0.895833 [0.833333,1] precision 0.107143 [0,0.285714] precision 0.90625 [1,0.75] precision 0.5 [0.6,0.333333] precision 0.604167 [0.666667,0.5] precision 0.65625 [0.75,0.5] precision 0.8125 [1,0.5] precision 0.604167 [0.666667,0.5] precision 0.8125 [1,0.5] precision 0.65625 [0.75,0.5] precision 0.604167 [0.666667,0.5] precision 0.5 [0.6,0.333333] precision 0.821429 [0.714286,1] precision 0.65625 [0.75,0.5] precision 0.390625 [0.625,0] predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.222222 predictive_accuracy 0.444444 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.444444 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.888889 predictive_accuracy 0.666667 predictive_accuracy 0.444444 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 1 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.444444 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.444444 predictive_accuracy 0.777778 predictive_accuracy 0.333333 predictive_accuracy 0.888889 predictive_accuracy 0.666667 predictive_accuracy 1 predictive_accuracy 0.777778 predictive_accuracy 0.444444 predictive_accuracy 0.888889 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.444444 predictive_accuracy 0.555556 predictive_accuracy 0.333333 predictive_accuracy 0.666667 predictive_accuracy 0.444444 predictive_accuracy 0.333333 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.333333 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.555556 predictive_accuracy 0.777778 predictive_accuracy 0.666667 predictive_accuracy 0.555556 predictive_accuracy 0.444444 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.5 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 0.25 predictive_accuracy 0.875 predictive_accuracy 0.5 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.5 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.625 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 prior_entropy 0.979412 recall 0.777778 [1,0.5] recall 0.666667 [0.666667,0.666667] recall 0.555556 [0.4,0.75] recall 0.555556 [0.666667,0.333333] recall 0.555556 [0.333333,1] recall 0.555556 [0.5,0.666667] recall 0.222222 [0.2,0.25] recall 0.444444 [0.5,0.333333] recall 0.555556 [0.6,0.5] recall 0.777778 [0.833333,0.666667] recall 0.444444 [0.4,0.5] recall 0.777778 [0.8,0.75] recall 0.555556 [0.2,1] recall 0.888889 [0.8,1] recall 0.666667 [0.6,0.75] recall 0.444444 [0.6,0.25] recall 0.777778 [1,0.5] recall 0.777778 [0.8,0.75] recall 0.555556 [0.8,0.25] recall 0.555556 [0.8,0.25] recall 0.777778 [0.8,0.75] recall 0.555556 [0.2,1] recall 0.777778 [1,0.5] recall 1 [1,1] recall 0.777778 [0.8,0.75] recall 0.555556 [1,0] recall 0.555556 [0.6,0.5] recall 0.444444 [0.6,0.25] recall 0.666667 [0.4,1] recall 0.777778 [0.6,1] recall 0.444444 [0.2,0.75] recall 0.777778 [0.8,0.75] recall 0.333333 [0.6,0] recall 0.888889 [0.8,1] recall 0.666667 [1,0.25] recall 1 [1,1] recall 0.777778 [0.8,0.75] recall 0.444444 [0.6,0.25] recall 0.888889 [0.8,1] recall 0.555556 [0.4,0.75] recall 0.777778 [0.8,0.75] recall 0.555556 [0.6,0.5] recall 0.444444 [0.2,0.75] recall 0.555556 [0.8,0.25] recall 0.333333 [0.4,0.25] recall 0.666667 [0.8,0.5] recall 0.444444 [0.6,0.25] recall 0.333333 [0.2,0.5] recall 0.666667 [0.8,0.5] recall 0.777778 [0.8,0.75] recall 0.666667 [0.8,0.5] recall 0.555556 [0.8,0.25] recall 0.666667 [0.8,0.5] recall 0.555556 [0.4,0.75] recall 0.666667 [0.6,0.75] recall 0.777778 [0.8,0.75] recall 0.666667 [0.8,0.5] recall 0.555556 [0.6,0.5] recall 0.666667 [1,0.25] recall 0.666667 [1,0.25] recall 0.555556 [0.5,0.666667] recall 0.333333 [0.4,0.25] recall 0.666667 [0.833333,0.333333] recall 0.666667 [0.8,0.5] recall 0.555556 [0.4,0.75] recall 0.555556 [0.6,0.5] recall 0.777778 [0.833333,0.666667] recall 0.666667 [0.4,1] recall 0.555556 [0.5,0.666667] recall 0.444444 [0.2,0.75] recall 0.625 [0.4,1] recall 0.625 [0.6,0.666667] recall 0.625 [1,0] recall 0.625 [0.8,0.333333] recall 0.5 [0.2,1] recall 0.625 [0.8,0.333333] recall 0.75 [1,0.333333] recall 0.75 [0.6,1] recall 0.875 [0.8,1] recall 0.75 [1,0.333333] recall 0.5 [0.6,0.333333] recall 0.5 [0.6,0.333333] recall 0.5 [0.4,0.666667] recall 0.875 [1,0.666667] recall 0.875 [0.8,1] recall 0.875 [1,0.666667] recall 0.25 [0,0.666667] recall 0.875 [0.8,1] recall 0.5 [0.6,0.333333] recall 0.625 [0.8,0.333333] recall 0.625 [0.6,0.666667] recall 0.625 [0.4,1] recall 0.625 [0.8,0.333333] recall 0.625 [0.4,1] recall 0.625 [0.6,0.666667] recall 0.625 [0.8,0.333333] recall 0.5 [0.6,0.333333] recall 0.75 [1,0.333333] recall 0.625 [0.6,0.666667] recall 0.625 [1,0] relative_absolute_error 0.557366 relative_absolute_error 0.792403 relative_absolute_error 0.775877 relative_absolute_error 1.033018 relative_absolute_error 0.860992 relative_absolute_error 0.865739 relative_absolute_error 1.320302 relative_absolute_error 1.174218 relative_absolute_error 0.925815 relative_absolute_error 0.531818 relative_absolute_error 0.99882 relative_absolute_error 0.525732 relative_absolute_error 0.885023 relative_absolute_error 0.441814 relative_absolute_error 0.765808 relative_absolute_error 1.167478 relative_absolute_error 0.56247 relative_absolute_error 0.611963 relative_absolute_error 0.941106 relative_absolute_error 0.881966 relative_absolute_error 0.591607 relative_absolute_error 0.923612 relative_absolute_error 0.585176 relative_absolute_error 0.228183 relative_absolute_error 0.578538 relative_absolute_error 0.792191 relative_absolute_error 0.881117 relative_absolute_error 0.989006 relative_absolute_error 0.695556 relative_absolute_error 0.577445 relative_absolute_error 1.284024 relative_absolute_error 0.605819 relative_absolute_error 1.101441 relative_absolute_error 0.463303 relative_absolute_error 0.668191 relative_absolute_error 0.252689 relative_absolute_error 0.599053 relative_absolute_error 0.93528 relative_absolute_error 0.545036 relative_absolute_error 0.877626 relative_absolute_error 0.641626 relative_absolute_error 0.752328 relative_absolute_error 1.093984 relative_absolute_error 0.8008 relative_absolute_error 1.081374 relative_absolute_error 0.639267 relative_absolute_error 1.0193 relative_absolute_error 1.180481 relative_absolute_error 0.691697 relative_absolute_error 0.586746 relative_absolute_error 0.73199 relative_absolute_error 0.856831 relative_absolute_error 0.839999 relative_absolute_error 0.964589 relative_absolute_error 0.691665 relative_absolute_error 0.608304 relative_absolute_error 0.765285 relative_absolute_error 0.915 relative_absolute_error 0.860984 relative_absolute_error 0.686646 relative_absolute_error 0.795588 relative_absolute_error 1.184661 relative_absolute_error 0.797033 relative_absolute_error 0.70457 relative_absolute_error 0.922271 relative_absolute_error 0.737737 relative_absolute_error 0.634508 relative_absolute_error 0.743682 relative_absolute_error 0.942795 relative_absolute_error 1.002876 relative_absolute_error 0.83642 relative_absolute_error 0.825726 relative_absolute_error 0.92465 relative_absolute_error 0.840687 relative_absolute_error 0.984215 relative_absolute_error 0.773334 relative_absolute_error 0.717848 relative_absolute_error 0.604808 relative_absolute_error 0.544602 relative_absolute_error 0.590988 relative_absolute_error 1.282386 relative_absolute_error 1.06788 relative_absolute_error 0.925698 relative_absolute_error 0.450397 relative_absolute_error 0.47718 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