462322 2 Joaquin Vanschoren 4321 Supervised Classification predictive_accuracy 1172 weka.LibSVM(2) 1924 weka.classifiers.functions.LibSVM -- -S 0 -K 2 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -model /Users/joa/Downloads/weka-3-7-12 -seed 1 S 0 1172 K 2 1172 D 3 1172 G 0.0 1172 R 0.0 1172 C 1.0 1172 N 0.5 1172 P 0.1 1172 M 40.0 1172 E 0.001 1172 model /Users/joa/Downloads/weka-3-7-12 1172 seed 1 1172 weka weka_3.7.12 750 pm10 https://www.openml.org/data/download/53284/pm10.arff -1 1625259 description https://api.openml.org/data/download/1625259/weka_generated_run2881056987239126467.xml -1 1625262 model_readable https://api.openml.org/data/download/1625262/WekaModel_weka.classifiers.functions.LibSVM8935349635086978019.model -1 1625261 model_serialized https://api.openml.org/data/download/1625261/WekaSerialized_weka.classifiers.functions.LibSVM6415249237375757832.model -1 1625260 predictions https://api.openml.org/data/download/1625260/weka_generated_predictions523278577241213228.arff area_under_roc_curve 0.549587 [0.549587,0.549587] average_cost 0 f_measure 0.533819 [0.630291,0.434211] kappa 0.099793 kb_relative_information_score 526.353722 mean_absolute_error 0.4472 mean_prior_absolute_error 0.499873 number_of_instances 5000 [2540,2460] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.558944 [0.54333,0.575067] predictive_accuracy 0.5528 prior_entropy 0.999817 recall 0.5528 [0.750394,0.34878] relative_absolute_error 0.894628 root_mean_prior_squared_error 0.499936 root_mean_squared_error 0.66873 root_relative_squared_error 1.337632 scimark_benchmark 939.800234 [558.1570048, 1011.5249537742577, 480.4213690634573, 902.3889933967491, 1746.5088487702178] total_cost 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 area_under_roc_curve 0.576923 [0.576923,0.576923] area_under_roc_curve 0.525641 [0.525641,0.525641] area_under_roc_curve 0.608974 [0.608974,0.608974] area_under_roc_curve 0.48 [0.48,0.48] area_under_roc_curve 0.517628 [0.517628,0.517628] area_under_roc_curve 0.52 [0.52,0.52] area_under_roc_curve 0.56 [0.56,0.56] area_under_roc_curve 0.557692 [0.557692,0.557692] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.490385 [0.490385,0.490385] area_under_roc_curve 0.49359 [0.49359,0.49359] area_under_roc_curve 0.508013 [0.508013,0.508013] area_under_roc_curve 0.552885 [0.552885,0.552885] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.570513 [0.570513,0.570513] area_under_roc_curve 0.62 [0.62,0.62] area_under_roc_curve 0.58 [0.58,0.58] area_under_roc_curve 0.69391 [0.69391,0.69391] area_under_roc_curve 0.48 [0.48,0.48] area_under_roc_curve 0.551282 [0.551282,0.551282] area_under_roc_curve 0.612179 [0.612179,0.612179] area_under_roc_curve 0.572115 [0.572115,0.572115] area_under_roc_curve 0.613782 [0.613782,0.613782] area_under_roc_curve 0.48 [0.48,0.48] area_under_roc_curve 0.535256 [0.535256,0.535256] area_under_roc_curve 0.52 [0.52,0.52] area_under_roc_curve 0.62 [0.62,0.62] area_under_roc_curve 0.532051 [0.532051,0.532051] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.554487 [0.554487,0.554487] area_under_roc_curve 0.594551 [0.594551,0.594551] area_under_roc_curve 0.532051 [0.532051,0.532051] area_under_roc_curve 0.573718 [0.573718,0.573718] area_under_roc_curve 0.66 [0.66,0.66] area_under_roc_curve 0.508013 [0.508013,0.508013] area_under_roc_curve 0.58 [0.58,0.58] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.591346 [0.591346,0.591346] area_under_roc_curve 0.46 [0.46,0.46] area_under_roc_curve 0.570513 [0.570513,0.570513] area_under_roc_curve 0.52 [0.52,0.52] area_under_roc_curve 0.52 [0.52,0.52] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.52 [0.52,0.52] area_under_roc_curve 0.46 [0.46,0.46] area_under_roc_curve 0.62 [0.62,0.62] area_under_roc_curve 0.52 [0.52,0.52] area_under_roc_curve 0.54 [0.54,0.54] area_under_roc_curve 0.58 [0.58,0.58] area_under_roc_curve 0.54 [0.54,0.54] area_under_roc_curve 0.52 [0.52,0.52] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.46 [0.46,0.46] area_under_roc_curve 0.48 [0.48,0.48] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.4 [0.4,0.4] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.56 [0.56,0.56] area_under_roc_curve 0.62 [0.62,0.62] area_under_roc_curve 0.62 [0.62,0.62] area_under_roc_curve 0.48 [0.48,0.48] area_under_roc_curve 0.48 [0.48,0.48] area_under_roc_curve 0.658654 [0.658654,0.658654] area_under_roc_curve 0.52 [0.52,0.52] area_under_roc_curve 0.55609 [0.55609,0.55609] area_under_roc_curve 0.472756 [0.472756,0.472756] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.612179 [0.612179,0.612179] area_under_roc_curve 0.62 [0.62,0.62] area_under_roc_curve 0.44 [0.44,0.44] area_under_roc_curve 0.62 [0.62,0.62] area_under_roc_curve 0.54 [0.54,0.54] area_under_roc_curve 0.552885 [0.552885,0.552885] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.673077 [0.673077,0.673077] area_under_roc_curve 0.511218 [0.511218,0.511218] area_under_roc_curve 0.56 [0.56,0.56] area_under_roc_curve 0.592949 [0.592949,0.592949] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.52 [0.52,0.52] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.62 [0.62,0.62] area_under_roc_curve 0.490385 [0.490385,0.490385] area_under_roc_curve 0.58 [0.58,0.58] area_under_roc_curve 0.435897 [0.435897,0.435897] area_under_roc_curve 0.549679 [0.549679,0.549679] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.592949 [0.592949,0.592949] area_under_roc_curve 0.38 [0.38,0.38] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.56 [0.56,0.56] area_under_roc_curve 0.4 [0.4,0.4] area_under_roc_curve 0.674679 [0.674679,0.674679] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.607372 [0.607372,0.607372] area_under_roc_curve 0.594551 [0.594551,0.594551] area_under_roc_curve 0.46 [0.46,0.46] area_under_roc_curve 0.652244 [0.652244,0.652244] area_under_roc_curve 0.54 [0.54,0.54] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.577455 [0.618182,0.533333] f_measure 0.470538 [0.666667,0.258065] f_measure 0.587429 [0.707692,0.457143] f_measure 0.458333 [0.566667,0.35] f_measure 0.518454 [0.555556,0.478261] f_measure 0.490662 [0.612903,0.368421] f_measure 0.541667 [0.633333,0.45] f_measure 0.558583 [0.592593,0.521739] f_measure 0.583333 [0.666667,0.5] f_measure 0.469326 [0.603175,0.324324] f_measure 0.486978 [0.576271,0.390244] f_measure 0.472086 [0.636364,0.294118] f_measure 0.545333 [0.633333,0.45] f_measure 0.474569 [0.590164,0.358974] f_measure 0.554234 [0.666667,0.432432] f_measure 0.600673 [0.688525,0.512821] f_measure 0.54955 [0.666667,0.432432] f_measure 0.692187 [0.745763,0.634146] f_measure 0.466338 [0.551724,0.380952] f_measure 0.537589 [0.645161,0.421053] f_measure 0.604187 [0.688525,0.512821] f_measure 0.562522 [0.655738,0.461538] f_measure 0.610103 [0.677966,0.536585] f_measure 0.458333 [0.566667,0.35] f_measure 0.533431 [0.596491,0.465116] f_measure 0.448529 [0.647059,0.25] f_measure 0.612403 [0.666667,0.55814] f_measure 0.520858 [0.622951,0.410256] f_measure 0.463749 [0.603175,0.324324] f_measure 0.55133 [0.62069,0.47619] f_measure 0.592118 [0.655172,0.52381] f_measure 0.520858 [0.622951,0.410256] f_measure 0.569062 [0.644068,0.487805] f_measure 0.656566 [0.690909,0.622222] f_measure 0.472086 [0.636364,0.294118] f_measure 0.565936 [0.644068,0.487805] f_measure 0.450549 [0.615385,0.285714] f_measure 0.579626 [0.677419,0.473684] f_measure 0.441918 [0.542373,0.341463] f_measure 0.554234 [0.666667,0.432432] f_measure 0.490662 [0.612903,0.368421] f_measure 0.465241 [0.636364,0.294118] f_measure 0.594156 [0.642857,0.545455] f_measure 0.625 [0.7,0.55] f_measure 0.507389 [0.586207,0.428571] f_measure 0.449204 [0.526316,0.372093] f_measure 0.616162 [0.654545,0.577778] f_measure 0.479167 [0.625,0.333333] f_measure 0.50665 [0.634921,0.378378] f_measure 0.565936 [0.644068,0.487805] f_measure 0.50665 [0.634921,0.378378] f_measure 0.5 [0.6,0.4] f_measure 0.450549 [0.615385,0.285714] f_measure 0.389417 [0.597015,0.181818] f_measure 0.435764 [0.59375,0.277778] f_measure 0.463749 [0.603175,0.324324] f_measure 0.363328 [0.516129,0.210526] f_measure 0.589491 [0.655172,0.52381] f_measure 0.541667 [0.633333,0.45] f_measure 0.582418 [0.707692,0.457143] f_measure 0.59245 [0.698413,0.486486] f_measure 0.472403 [0.535714,0.409091] f_measure 0.466338 [0.551724,0.380952] f_measure 0.659591 [0.679245,0.638298] f_measure 0.5 [0.6,0.4] f_measure 0.555714 [0.607143,0.5] f_measure 0.462667 [0.566667,0.35] f_measure 0.463749 [0.603175,0.324324] f_measure 0.604187 [0.688525,0.512821] f_measure 0.619848 [0.612245,0.627451] f_measure 0.425287 [0.517241,0.333333] f_measure 0.600673 [0.688525,0.512821] f_measure 0.516604 [0.622951,0.410256] f_measure 0.545333 [0.633333,0.45] f_measure 0.630542 [0.689655,0.571429] f_measure 0.669333 [0.733333,0.6] f_measure 0.495552 [0.612903,0.368421] f_measure 0.522569 [0.65625,0.388889] f_measure 0.586667 [0.666667,0.5] f_measure 0.637681 [0.666667,0.608696] f_measure 0.465241 [0.636364,0.294118] f_measure 0.625 [0.7,0.55] f_measure 0.59245 [0.698413,0.486486] f_measure 0.469326 [0.603175,0.324324] f_measure 0.525102 [0.686567,0.363636] f_measure 0.434545 [0.5,0.363636] f_measure 0.527917 [0.65625,0.388889] f_measure 0.450549 [0.615385,0.285714] f_measure 0.586667 [0.666667,0.5] f_measure 0.359239 [0.474576,0.243902] f_measure 0.494949 [0.545455,0.444444] f_measure 0.557166 [0.592593,0.521739] f_measure 0.375 [0.5,0.25] f_measure 0.673695 [0.724138,0.619048] f_measure 0.597424 [0.62963,0.565217] f_measure 0.576174 [0.716418,0.424242] f_measure 0.592118 [0.655172,0.52381] f_measure 0.432535 [0.557377,0.307692] f_measure 0.645851 [0.721311,0.564103] f_measure 0.479873 [0.656716,0.30303] kappa 0.154589 kappa 0.052718 kappa 0.222586 kappa -0.04 kappa 0.03537 kappa 0.04 kappa 0.12 kappa 0.115756 kappa 0.2 kappa -0.019576 kappa -0.012966 kappa 0.016393 kappa 0.107143 kappa 0 kappa 0.143556 kappa 0.24 kappa 0.16 kappa 0.39222 kappa -0.04 kappa 0.104235 kappa 0.227642 kappa 0.146341 kappa 0.230146 kappa -0.04 kappa 0.071082 kappa 0.04 kappa 0.24 kappa 0.065041 kappa 0 kappa 0.110032 kappa 0.190939 kappa 0.065041 kappa 0.149109 kappa 0.32 kappa 0.016393 kappa 0.16 kappa 0 kappa 0.185668 kappa -0.08 kappa 0.143556 kappa 0.04 kappa 0.04 kappa 0.2 kappa 0.28 kappa 0.04 kappa -0.08 kappa 0.24 kappa 0.04 kappa 0.08 kappa 0.16 kappa 0.08 kappa 0.04 kappa 0 kappa -0.08 kappa -0.04 kappa 0 kappa -0.2 kappa 0.2 kappa 0.12 kappa 0.24 kappa 0.24 kappa -0.04 kappa -0.04 kappa 0.317817 kappa 0.04 kappa 0.112903 kappa -0.055195 kappa 0 kappa 0.227642 kappa 0.24 kappa -0.12 kappa 0.24 kappa 0.08 kappa 0.107143 kappa 0.28 kappa 0.350649 kappa 0.022801 kappa 0.12 kappa 0.188312 kappa 0.28 kappa 0.04 kappa 0.28 kappa 0.24 kappa -0.019576 kappa 0.16 kappa -0.129032 kappa 0.101307 kappa 0 kappa 0.188312 kappa -0.24 kappa 0 kappa 0.12 kappa -0.2 kappa 0.352751 kappa 0.2 kappa 0.220033 kappa 0.190939 kappa -0.08 kappa 0.308943 kappa 0.08 kb_relative_information_score 7.956937 kb_relative_information_score 3.955471 kb_relative_information_score 11.958403 kb_relative_information_score -2.000733 kb_relative_information_score 1.954738 kb_relative_information_score 2.000733 kb_relative_information_score 6.002199 kb_relative_information_score 5.956204 kb_relative_information_score 10.003665 kb_relative_information_score -0.045995 kb_relative_information_score -0.045995 kb_relative_information_score 1.954738 kb_relative_information_score 5.956204 kb_relative_information_score 0 kb_relative_information_score 7.956937 kb_relative_information_score 12.004398 kb_relative_information_score 8.002932 kb_relative_information_score 19.961335 kb_relative_information_score -2.000733 kb_relative_information_score 5.956204 kb_relative_information_score 11.958403 kb_relative_information_score 7.956937 kb_relative_information_score 11.958403 kb_relative_information_score -2.000733 kb_relative_information_score 3.955471 kb_relative_information_score 2.000733 kb_relative_information_score 12.004398 kb_relative_information_score 3.955471 kb_relative_information_score 0 kb_relative_information_score 5.956204 kb_relative_information_score 9.95767 kb_relative_information_score 3.955471 kb_relative_information_score 7.956937 kb_relative_information_score 16.005864 kb_relative_information_score 1.954738 kb_relative_information_score 8.002932 kb_relative_information_score 0 kb_relative_information_score 9.95767 kb_relative_information_score -4.001466 kb_relative_information_score 7.956937 kb_relative_information_score 2.000733 kb_relative_information_score 2.000733 kb_relative_information_score 10.003665 kb_relative_information_score 14.005131 kb_relative_information_score 2.000733 kb_relative_information_score -4.001466 kb_relative_information_score 12.004398 kb_relative_information_score 2.000733 kb_relative_information_score 4.001466 kb_relative_information_score 8.002932 kb_relative_information_score 4.001466 kb_relative_information_score 2.000733 kb_relative_information_score 0 kb_relative_information_score -4.001466 kb_relative_information_score -2.000733 kb_relative_information_score 0 kb_relative_information_score -10.003665 kb_relative_information_score 10.003665 kb_relative_information_score 6.002199 kb_relative_information_score 12.004398 kb_relative_information_score 12.004398 kb_relative_information_score -2.000733 kb_relative_information_score -2.000733 kb_relative_information_score 15.959869 kb_relative_information_score 2.000733 kb_relative_information_score 5.956204 kb_relative_information_score -2.046728 kb_relative_information_score 0 kb_relative_information_score 11.958403 kb_relative_information_score 12.004398 kb_relative_information_score -6.002199 kb_relative_information_score 12.004398 kb_relative_information_score 4.001466 kb_relative_information_score 5.956204 kb_relative_information_score 14.005131 kb_relative_information_score 17.960602 kb_relative_information_score 1.954738 kb_relative_information_score 6.002199 kb_relative_information_score 9.95767 kb_relative_information_score 14.005131 kb_relative_information_score 2.000733 kb_relative_information_score 14.005131 kb_relative_information_score 12.004398 kb_relative_information_score -0.045995 kb_relative_information_score 8.002932 kb_relative_information_score -6.048194 kb_relative_information_score 5.956204 kb_relative_information_score 0 kb_relative_information_score 9.95767 kb_relative_information_score -12.004398 kb_relative_information_score 0 kb_relative_information_score 6.002199 kb_relative_information_score -10.003665 kb_relative_information_score 17.960602 kb_relative_information_score 10.003665 kb_relative_information_score 11.958403 kb_relative_information_score 9.95767 kb_relative_information_score -4.001466 kb_relative_information_score 15.959869 kb_relative_information_score 4.001466 mean_absolute_error 0.42 mean_absolute_error 0.46 mean_absolute_error 0.38 mean_absolute_error 0.52 mean_absolute_error 0.48 mean_absolute_error 0.48 mean_absolute_error 0.44 mean_absolute_error 0.44 mean_absolute_error 0.4 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_absolute_error 0.48 mean_absolute_error 0.44 mean_absolute_error 0.5 mean_absolute_error 0.42 mean_absolute_error 0.38 mean_absolute_error 0.42 mean_absolute_error 0.3 mean_absolute_error 0.52 mean_absolute_error 0.44 mean_absolute_error 0.38 mean_absolute_error 0.42 mean_absolute_error 0.38 mean_absolute_error 0.52 mean_absolute_error 0.46 mean_absolute_error 0.48 mean_absolute_error 0.38 mean_absolute_error 0.46 mean_absolute_error 0.5 mean_absolute_error 0.44 mean_absolute_error 0.4 mean_absolute_error 0.46 mean_absolute_error 0.42 mean_absolute_error 0.34 mean_absolute_error 0.48 mean_absolute_error 0.42 mean_absolute_error 0.5 mean_absolute_error 0.4 mean_absolute_error 0.54 mean_absolute_error 0.42 mean_absolute_error 0.48 mean_absolute_error 0.48 mean_absolute_error 0.4 mean_absolute_error 0.36 mean_absolute_error 0.48 mean_absolute_error 0.54 mean_absolute_error 0.38 mean_absolute_error 0.48 mean_absolute_error 0.46 mean_absolute_error 0.42 mean_absolute_error 0.46 mean_absolute_error 0.48 mean_absolute_error 0.5 mean_absolute_error 0.54 mean_absolute_error 0.52 mean_absolute_error 0.5 mean_absolute_error 0.6 mean_absolute_error 0.4 mean_absolute_error 0.44 mean_absolute_error 0.38 mean_absolute_error 0.38 mean_absolute_error 0.52 mean_absolute_error 0.52 mean_absolute_error 0.34 mean_absolute_error 0.48 mean_absolute_error 0.44 mean_absolute_error 0.52 mean_absolute_error 0.5 mean_absolute_error 0.38 mean_absolute_error 0.38 mean_absolute_error 0.56 mean_absolute_error 0.38 mean_absolute_error 0.46 mean_absolute_error 0.44 mean_absolute_error 0.36 mean_absolute_error 0.32 mean_absolute_error 0.48 mean_absolute_error 0.44 mean_absolute_error 0.4 mean_absolute_error 0.36 mean_absolute_error 0.48 mean_absolute_error 0.36 mean_absolute_error 0.38 mean_absolute_error 0.5 mean_absolute_error 0.42 mean_absolute_error 0.56 mean_absolute_error 0.44 mean_absolute_error 0.5 mean_absolute_error 0.4 mean_absolute_error 0.62 mean_absolute_error 0.5 mean_absolute_error 0.44 mean_absolute_error 0.6 mean_absolute_error 0.32 mean_absolute_error 0.4 mean_absolute_error 0.38 mean_absolute_error 0.4 mean_absolute_error 0.54 mean_absolute_error 0.34 mean_absolute_error 0.46 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] precision 0.579113 [0.586207,0.571429] precision 0.552425 [0.534884,0.571429] precision 0.655758 [0.589744,0.727273] precision 0.47619 [0.485714,0.466667] precision 0.518571 [0.535714,0.5] precision 0.525988 [0.513514,0.538462] precision 0.571429 [0.542857,0.6] precision 0.558961 [0.571429,0.545455] precision 0.619048 [0.571429,0.666667] precision 0.488565 [0.513514,0.461538] precision 0.493761 [0.515152,0.470588] precision 0.513 [0.525,0.5] precision 0.560588 [0.558824,0.5625] precision 0.5 [0.5,0.5] precision 0.59052 [0.567568,0.615385] precision 0.64881 [0.583333,0.714286] precision 0.609649 [0.552632,0.666667] precision 0.713725 [0.666667,0.764706] precision 0.477718 [0.484848,0.470588] precision 0.563175 [0.555556,0.571429] precision 0.632 [0.6,0.666667] precision 0.585143 [0.571429,0.6] precision 0.62574 [0.606061,0.647059] precision 0.47619 [0.485714,0.466667] precision 0.537793 [0.548387,0.526316] precision 0.541528 [0.511628,0.571429] precision 0.630208 [0.59375,0.666667] precision 0.538286 [0.542857,0.533333] precision 0.5 [0.5,0.5] precision 0.559167 [0.5625,0.555556] precision 0.602083 [0.59375,0.611111] precision 0.538286 [0.542857,0.533333] precision 0.581747 [0.575758,0.588235] precision 0.666667 [0.633333,0.7] precision 0.513 [0.525,0.5] precision 0.591912 [0.558824,0.625] precision 0.5 [0.5,0.5] precision 0.611905 [0.583333,0.642857] precision 0.454044 [0.470588,0.4375] precision 0.59052 [0.567568,0.615385] precision 0.525988 [0.513514,0.538462] precision 0.533875 [0.512195,0.555556] precision 0.606112 [0.580645,0.631579] precision 0.666667 [0.6,0.733333] precision 0.522282 [0.515152,0.529412] precision 0.456597 [0.46875,0.444444] precision 0.625 [0.6,0.65] precision 0.529138 [0.512821,0.545455] precision 0.554825 [0.526316,0.583333] precision 0.591912 [0.558824,0.625] precision 0.554825 [0.526316,0.583333] precision 0.52381 [0.514286,0.533333] precision 0.5 [0.5,0.5] precision 0.425595 [0.47619,0.375] precision 0.470862 [0.487179,0.454545] precision 0.5 [0.5,0.5] precision 0.370062 [0.432432,0.307692] precision 0.611408 [0.575758,0.647059] precision 0.571429 [0.542857,0.6] precision 0.6875 [0.575,0.8] precision 0.664474 [0.578947,0.75] precision 0.478778 [0.483871,0.473684] precision 0.477718 [0.484848,0.470588] precision 0.65971 [0.666667,0.652174] precision 0.52381 [0.514286,0.533333] precision 0.558667 [0.566667,0.55] precision 0.47 [0.5,0.4375] precision 0.5 [0.5,0.5] precision 0.632 [0.6,0.666667] precision 0.620192 [0.625,0.615385] precision 0.433155 [0.454545,0.411765] precision 0.64881 [0.583333,0.714286] precision 0.549603 [0.527778,0.571429] precision 0.560588 [0.558824,0.5625] precision 0.655971 [0.606061,0.705882] precision 0.696471 [0.647059,0.75] precision 0.514444 [0.527778,0.5] precision 0.587413 [0.538462,0.636364] precision 0.605882 [0.588235,0.625] precision 0.643678 [0.62069,0.666667] precision 0.533875 [0.512195,0.555556] precision 0.666667 [0.6,0.733333] precision 0.664474 [0.578947,0.75] precision 0.488565 [0.513514,0.461538] precision 0.64881 [0.547619,0.75] precision 0.434667 [0.466667,0.4] precision 0.567368 [0.552632,0.583333] precision 0.5 [0.5,0.5] precision 0.605882 [0.588235,0.625] precision 0.362132 [0.411765,0.3125] precision 0.5 [0.5,0.5] precision 0.561576 [0.551724,0.571429] precision 0.380952 [0.428571,0.333333] precision 0.687917 [0.65625,0.722222] precision 0.602627 [0.586207,0.619048] precision 0.677724 [0.585366,0.777778] precision 0.602083 [0.59375,0.611111] precision 0.450397 [0.472222,0.428571] precision 0.678857 [0.628571,0.733333] precision 0.574405 [0.52381,0.625] predictive_accuracy 0.58 predictive_accuracy 0.54 predictive_accuracy 0.62 predictive_accuracy 0.48 predictive_accuracy 0.52 predictive_accuracy 0.52 predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.52 predictive_accuracy 0.56 predictive_accuracy 0.5 predictive_accuracy 0.58 predictive_accuracy 0.62 predictive_accuracy 0.58 predictive_accuracy 0.7 predictive_accuracy 0.48 predictive_accuracy 0.56 predictive_accuracy 0.62 predictive_accuracy 0.58 predictive_accuracy 0.62 predictive_accuracy 0.48 predictive_accuracy 0.54 predictive_accuracy 0.52 predictive_accuracy 0.62 predictive_accuracy 0.54 predictive_accuracy 0.5 predictive_accuracy 0.56 predictive_accuracy 0.6 predictive_accuracy 0.54 predictive_accuracy 0.58 predictive_accuracy 0.66 predictive_accuracy 0.52 predictive_accuracy 0.58 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.46 predictive_accuracy 0.58 predictive_accuracy 0.52 predictive_accuracy 0.52 predictive_accuracy 0.6 predictive_accuracy 0.64 predictive_accuracy 0.52 predictive_accuracy 0.46 predictive_accuracy 0.62 predictive_accuracy 0.52 predictive_accuracy 0.54 predictive_accuracy 0.58 predictive_accuracy 0.54 predictive_accuracy 0.52 predictive_accuracy 0.5 predictive_accuracy 0.46 predictive_accuracy 0.48 predictive_accuracy 0.5 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.56 predictive_accuracy 0.62 predictive_accuracy 0.62 predictive_accuracy 0.48 predictive_accuracy 0.48 predictive_accuracy 0.66 predictive_accuracy 0.52 predictive_accuracy 0.56 predictive_accuracy 0.48 predictive_accuracy 0.5 predictive_accuracy 0.62 predictive_accuracy 0.62 predictive_accuracy 0.44 predictive_accuracy 0.62 predictive_accuracy 0.54 predictive_accuracy 0.56 predictive_accuracy 0.64 predictive_accuracy 0.68 predictive_accuracy 0.52 predictive_accuracy 0.56 predictive_accuracy 0.6 predictive_accuracy 0.64 predictive_accuracy 0.52 predictive_accuracy 0.64 predictive_accuracy 0.62 predictive_accuracy 0.5 predictive_accuracy 0.58 predictive_accuracy 0.44 predictive_accuracy 0.56 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.38 predictive_accuracy 0.5 predictive_accuracy 0.56 predictive_accuracy 0.4 predictive_accuracy 0.68 predictive_accuracy 0.6 predictive_accuracy 0.62 predictive_accuracy 0.6 predictive_accuracy 0.46 predictive_accuracy 0.66 predictive_accuracy 0.54 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 recall 0.58 [0.653846,0.5] recall 0.54 [0.884615,0.166667] recall 0.62 [0.884615,0.333333] recall 0.48 [0.68,0.28] recall 0.52 [0.576923,0.458333] recall 0.52 [0.76,0.28] recall 0.56 [0.76,0.36] recall 0.56 [0.615385,0.5] recall 0.6 [0.8,0.4] recall 0.5 [0.730769,0.25] recall 0.5 [0.653846,0.333333] recall 0.52 [0.807692,0.208333] recall 0.56 [0.730769,0.375] recall 0.5 [0.72,0.28] recall 0.58 [0.807692,0.333333] recall 0.62 [0.84,0.4] recall 0.58 [0.84,0.32] recall 0.7 [0.846154,0.541667] recall 0.48 [0.64,0.32] recall 0.56 [0.769231,0.333333] recall 0.62 [0.807692,0.416667] recall 0.58 [0.769231,0.375] recall 0.62 [0.769231,0.458333] recall 0.48 [0.68,0.28] recall 0.54 [0.653846,0.416667] recall 0.52 [0.88,0.16] recall 0.62 [0.76,0.48] recall 0.54 [0.730769,0.333333] recall 0.5 [0.76,0.24] recall 0.56 [0.692308,0.416667] recall 0.6 [0.730769,0.458333] recall 0.54 [0.730769,0.333333] recall 0.58 [0.730769,0.416667] recall 0.66 [0.76,0.56] recall 0.52 [0.807692,0.208333] recall 0.58 [0.76,0.4] recall 0.5 [0.8,0.2] recall 0.6 [0.807692,0.375] recall 0.46 [0.64,0.28] recall 0.58 [0.807692,0.333333] recall 0.52 [0.76,0.28] recall 0.52 [0.84,0.2] recall 0.6 [0.72,0.48] recall 0.64 [0.84,0.44] recall 0.52 [0.68,0.36] recall 0.46 [0.6,0.32] recall 0.62 [0.72,0.52] recall 0.52 [0.8,0.24] recall 0.54 [0.8,0.28] recall 0.58 [0.76,0.4] recall 0.54 [0.8,0.28] recall 0.52 [0.72,0.32] recall 0.5 [0.8,0.2] recall 0.46 [0.8,0.12] recall 0.48 [0.76,0.2] recall 0.5 [0.76,0.24] recall 0.4 [0.64,0.16] recall 0.6 [0.76,0.44] recall 0.56 [0.76,0.36] recall 0.62 [0.92,0.32] recall 0.62 [0.88,0.36] recall 0.48 [0.6,0.36] recall 0.48 [0.64,0.32] recall 0.66 [0.692308,0.625] recall 0.52 [0.72,0.32] recall 0.56 [0.653846,0.458333] recall 0.48 [0.653846,0.291667] recall 0.5 [0.76,0.24] recall 0.62 [0.807692,0.416667] recall 0.62 [0.6,0.64] recall 0.44 [0.6,0.28] recall 0.62 [0.84,0.4] recall 0.54 [0.76,0.32] recall 0.56 [0.730769,0.375] recall 0.64 [0.8,0.48] recall 0.68 [0.846154,0.5] recall 0.52 [0.730769,0.291667] recall 0.56 [0.84,0.28] recall 0.6 [0.769231,0.416667] recall 0.64 [0.72,0.56] recall 0.52 [0.84,0.2] recall 0.64 [0.84,0.44] recall 0.62 [0.88,0.36] recall 0.5 [0.730769,0.25] recall 0.58 [0.92,0.24] recall 0.44 [0.538462,0.333333] recall 0.56 [0.807692,0.291667] recall 0.5 [0.8,0.2] recall 0.6 [0.769231,0.416667] recall 0.38 [0.56,0.2] recall 0.5 [0.6,0.4] recall 0.56 [0.64,0.48] recall 0.4 [0.6,0.2] recall 0.68 [0.807692,0.541667] recall 0.6 [0.68,0.52] recall 0.62 [0.923077,0.291667] recall 0.6 [0.730769,0.458333] recall 0.46 [0.68,0.24] recall 0.66 [0.846154,0.458333] recall 0.54 [0.88,0.2] relative_absolute_error 0.840536 relative_absolute_error 0.920587 relative_absolute_error 0.760485 relative_absolute_error 1.04 relative_absolute_error 0.960612 relative_absolute_error 0.96 relative_absolute_error 0.88 relative_absolute_error 0.880561 relative_absolute_error 0.8 relative_absolute_error 1.000638 relative_absolute_error 1.000638 relative_absolute_error 0.960612 relative_absolute_error 0.880561 relative_absolute_error 1 relative_absolute_error 0.840536 relative_absolute_error 0.76 relative_absolute_error 0.84 relative_absolute_error 0.600383 relative_absolute_error 1.04 relative_absolute_error 0.880561 relative_absolute_error 0.760485 relative_absolute_error 0.840536 relative_absolute_error 0.760485 relative_absolute_error 1.04 relative_absolute_error 0.920587 relative_absolute_error 0.96 relative_absolute_error 0.76 relative_absolute_error 0.920587 relative_absolute_error 1 relative_absolute_error 0.880561 relative_absolute_error 0.80051 relative_absolute_error 0.920587 relative_absolute_error 0.840536 relative_absolute_error 0.68 relative_absolute_error 0.960612 relative_absolute_error 0.84 relative_absolute_error 1 relative_absolute_error 0.80051 relative_absolute_error 1.08 relative_absolute_error 0.840536 relative_absolute_error 0.96 relative_absolute_error 0.96 relative_absolute_error 0.8 relative_absolute_error 0.72 relative_absolute_error 0.96 relative_absolute_error 1.08 relative_absolute_error 0.76 relative_absolute_error 0.96 relative_absolute_error 0.92 relative_absolute_error 0.84 relative_absolute_error 0.92 relative_absolute_error 0.96 relative_absolute_error 1 relative_absolute_error 1.08 relative_absolute_error 1.04 relative_absolute_error 1 relative_absolute_error 1.2 relative_absolute_error 0.8 relative_absolute_error 0.88 relative_absolute_error 0.76 relative_absolute_error 0.76 relative_absolute_error 1.04 relative_absolute_error 1.04 relative_absolute_error 0.680434 relative_absolute_error 0.96 relative_absolute_error 0.880561 relative_absolute_error 1.040663 relative_absolute_error 1 relative_absolute_error 0.760485 relative_absolute_error 0.76 relative_absolute_error 1.12 relative_absolute_error 0.76 relative_absolute_error 0.92 relative_absolute_error 0.880561 relative_absolute_error 0.72 relative_absolute_error 0.640408 relative_absolute_error 0.960612 relative_absolute_error 0.88 relative_absolute_error 0.80051 relative_absolute_error 0.72 relative_absolute_error 0.96 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