453335 2 Joaquin Vanschoren 4324 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_3.7.12 753 wisconsin https://www.openml.org/data/download/53287/wisconsin.arff -1 1590643 description https://api.openml.org/data/download/1590643/weka_generated_run6383469670182734413.xml -1 1590645 model_readable https://api.openml.org/data/download/1590645/WekaModel_weka.classifiers.trees.ADTree6177443218187875587.model -1 1590644 model_serialized https://api.openml.org/data/download/1590644/WekaSerialized_weka.classifiers.trees.ADTree4417931887857215793.model -1 1590646 predictions https://api.openml.org/data/download/1590646/weka_generated_predictions1219348757538481015.arff area_under_roc_curve 0.58435 [0.58435,0.58435] average_cost 0 f_measure 0.559572 [0.58475,0.530478] kappa 0.115332 kb_relative_information_score 139.893774 mean_absolute_error 0.463891 mean_prior_absolute_error 0.497423 number_of_instances 1940 [1040,900] os_information [Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64] precision 0.559997 [0.590775,0.52443] predictive_accuracy 0.559278 prior_entropy 0.996317 recall 0.559278 [0.578846,0.536667] relative_absolute_error 0.932589 root_mean_prior_squared_error 0.498696 root_mean_squared_error 0.515398 root_relative_squared_error 1.033491 scimark_benchmark 908.95685 [482.3674420247276, 1027.7093376, 337.4424419825379, 645.6748859472447, 2051.5901448167365] total_cost 0 usercpu_time_millis 30 usercpu_time_millis_testing 0 usercpu_time_millis_training 30 area_under_roc_curve 0.535354 [0.535354,0.535354] area_under_roc_curve 0.308081 [0.308081,0.308081] area_under_roc_curve 0.424242 [0.424242,0.424242] area_under_roc_curve 0.545455 [0.545455,0.545455] area_under_roc_curve 0.606061 [0.606061,0.606061] area_under_roc_curve 0.787879 [0.787879,0.787879] area_under_roc_curve 0.464646 [0.464646,0.464646] area_under_roc_curve 0.419192 [0.419192,0.419192] area_under_roc_curve 0.575758 [0.575758,0.575758] area_under_roc_curve 0.565657 [0.565657,0.565657] area_under_roc_curve 0.606061 [0.606061,0.606061] area_under_roc_curve 0.575758 [0.575758,0.575758] area_under_roc_curve 0.489899 [0.489899,0.489899] area_under_roc_curve 0.570707 [0.570707,0.570707] area_under_roc_curve 0.777778 [0.777778,0.777778] area_under_roc_curve 0.606061 [0.606061,0.606061] area_under_roc_curve 0.494949 [0.494949,0.494949] area_under_roc_curve 0.70202 [0.70202,0.70202] area_under_roc_curve 0.752525 [0.752525,0.752525] area_under_roc_curve 0.686869 [0.686869,0.686869] area_under_roc_curve 0.580808 [0.580808,0.580808] area_under_roc_curve 0.686869 [0.686869,0.686869] area_under_roc_curve 0.828283 [0.828283,0.828283] area_under_roc_curve 0.570707 [0.570707,0.570707] area_under_roc_curve 0.469697 [0.469697,0.469697] area_under_roc_curve 0.489899 [0.489899,0.489899] area_under_roc_curve 0.626263 [0.626263,0.626263] area_under_roc_curve 0.550505 [0.550505,0.550505] area_under_roc_curve 0.550505 [0.550505,0.550505] area_under_roc_curve 0.888889 [0.888889,0.888889] area_under_roc_curve 0.464646 [0.464646,0.464646] area_under_roc_curve 0.813131 [0.813131,0.813131] area_under_roc_curve 0.505051 [0.505051,0.505051] area_under_roc_curve 0.656566 [0.656566,0.656566] area_under_roc_curve 0.691919 [0.691919,0.691919] area_under_roc_curve 0.585859 [0.585859,0.585859] area_under_roc_curve 0.838384 [0.838384,0.838384] area_under_roc_curve 0.575758 [0.575758,0.575758] area_under_roc_curve 0.373737 [0.373737,0.373737] area_under_roc_curve 0.530303 [0.530303,0.530303] area_under_roc_curve 0.688889 [0.688889,0.688889] area_under_roc_curve 0.622222 [0.622222,0.622222] area_under_roc_curve 0.538889 [0.538889,0.538889] area_under_roc_curve 0.872222 [0.872222,0.872222] area_under_roc_curve 0.433333 [0.433333,0.433333] area_under_roc_curve 0.555556 [0.555556,0.555556] area_under_roc_curve 0.505556 [0.505556,0.505556] area_under_roc_curve 0.583333 [0.583333,0.583333] area_under_roc_curve 0.322222 [0.322222,0.322222] area_under_roc_curve 0.677778 [0.677778,0.677778] area_under_roc_curve 0.427778 [0.427778,0.427778] area_under_roc_curve 0.555556 [0.555556,0.555556] area_under_roc_curve 0.788889 [0.788889,0.788889] area_under_roc_curve 0.705556 [0.705556,0.705556] area_under_roc_curve 0.616667 [0.616667,0.616667] area_under_roc_curve 0.477778 [0.477778,0.477778] area_under_roc_curve 0.488889 [0.488889,0.488889] area_under_roc_curve 0.566667 [0.566667,0.566667] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.472222 [0.472222,0.472222] area_under_roc_curve 0.938889 [0.938889,0.938889] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.677778 [0.677778,0.677778] area_under_roc_curve 0.811111 [0.811111,0.811111] area_under_roc_curve 0.627778 [0.627778,0.627778] area_under_roc_curve 0.411111 [0.411111,0.411111] area_under_roc_curve 0.561111 [0.561111,0.561111] area_under_roc_curve 0.544444 [0.544444,0.544444] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.594444 [0.594444,0.594444] area_under_roc_curve 0.727778 [0.727778,0.727778] area_under_roc_curve 0.527778 [0.527778,0.527778] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.611111 [0.611111,0.611111] area_under_roc_curve 0.761111 [0.761111,0.761111] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.577778 [0.577778,0.577778] area_under_roc_curve 0.605556 [0.605556,0.605556] area_under_roc_curve 0.638889 [0.638889,0.638889] area_under_roc_curve 0.716667 [0.716667,0.716667] area_under_roc_curve 0.427778 [0.427778,0.427778] area_under_roc_curve 0.611111 [0.611111,0.611111] area_under_roc_curve 0.588889 [0.588889,0.588889] area_under_roc_curve 0.466667 [0.466667,0.466667] area_under_roc_curve 0.716667 [0.716667,0.716667] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.544444 [0.544444,0.544444] area_under_roc_curve 0.544444 [0.544444,0.544444] area_under_roc_curve 0.711111 [0.711111,0.711111] area_under_roc_curve 0.372222 [0.372222,0.372222] area_under_roc_curve 0.511111 [0.511111,0.511111] area_under_roc_curve 0.466667 [0.466667,0.466667] area_under_roc_curve 0.716667 [0.716667,0.716667] area_under_roc_curve 0.322222 [0.322222,0.322222] area_under_roc_curve 0.377778 [0.377778,0.377778] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.738889 [0.738889,0.738889] area_under_roc_curve 0.644444 [0.644444,0.644444] area_under_roc_curve 0.505556 [0.505556,0.505556] area_under_roc_curve 0.472222 [0.472222,0.472222] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.551128 [0.571429,0.526316] f_measure 0.345113 [0.315789,0.380952] f_measure 0.44578 [0.521739,0.352941] f_measure 0.591667 [0.666667,0.5] f_measure 0.6 [0.636364,0.555556] f_measure 0.750627 [0.761905,0.736842] f_measure 0.551128 [0.571429,0.526316] f_measure 0.451378 [0.47619,0.421053] f_measure 0.489899 [0.444444,0.545455] f_measure 0.489899 [0.444444,0.545455] f_measure 0.467033 [0.615385,0.285714] f_measure 0.551128 [0.571429,0.526316] f_measure 0.398667 [0.266667,0.56] f_measure 0.551128 [0.571429,0.526316] f_measure 0.74 [0.8,0.666667] f_measure 0.636 [0.72,0.533333] f_measure 0.44578 [0.521739,0.352941] f_measure 0.591919 [0.555556,0.636364] f_measure 0.750627 [0.761905,0.736842] f_measure 0.591667 [0.666667,0.5] f_measure 0.5 [0.545455,0.444444] f_measure 0.636 [0.72,0.533333] f_measure 0.8 [0.818182,0.777778] f_measure 0.551128 [0.571429,0.526316] f_measure 0.5 [0.5,0.5] f_measure 0.5 [0.545455,0.444444] f_measure 0.467033 [0.615385,0.285714] f_measure 0.505128 [0.666667,0.307692] f_measure 0.5 [0.5,0.5] f_measure 0.725071 [0.814815,0.615385] f_measure 0.451378 [0.47619,0.421053] f_measure 0.750627 [0.761905,0.736842] f_measure 0.5 [0.545455,0.444444] f_measure 0.508 [0.4,0.64] f_measure 0.636573 [0.588235,0.695652] f_measure 0.650877 [0.666667,0.631579] f_measure 0.750627 [0.761905,0.736842] f_measure 0.546617 [0.526316,0.571429] f_measure 0.4 [0.4,0.4] f_measure 0.573626 [0.692308,0.428571] f_measure 0.57177 [0.636364,0.5] f_measure 0.50984 [0.608696,0.4] f_measure 0.50984 [0.608696,0.4] f_measure 0.597571 [0.72,0.461538] f_measure 0.315789 [0.315789,0.315789] f_measure 0.578947 [0.6,0.555556] f_measure 0.578947 [0.6,0.555556] f_measure 0.47076 [0.444444,0.5] f_measure 0.442356 [0.583333,0.285714] f_measure 0.576608 [0.555556,0.6] f_measure 0.473684 [0.5,0.444444] f_measure 0.631579 [0.631579,0.631579] f_measure 0.735368 [0.761905,0.705882] f_measure 0.629515 [0.666667,0.588235] f_measure 0.526316 [0.526316,0.526316] f_measure 0.564593 [0.5,0.636364] f_measure 0.526316 [0.526316,0.526316] f_measure 0.578947 [0.6,0.555556] f_measure 0.47076 [0.444444,0.5] f_measure 0.47076 [0.444444,0.5] f_measure 0.841221 [0.857143,0.823529] f_measure 0.442356 [0.583333,0.285714] f_measure 0.597571 [0.72,0.461538] f_measure 0.629515 [0.666667,0.588235] f_measure 0.57177 [0.636364,0.5] f_measure 0.330827 [0.5,0.142857] f_measure 0.518355 [0.470588,0.571429] f_measure 0.482591 [0.64,0.307692] f_measure 0.578947 [0.6,0.555556] f_measure 0.618764 [0.695652,0.533333] f_measure 0.684211 [0.7,0.666667] f_measure 0.523662 [0.571429,0.470588] f_measure 0.631579 [0.631579,0.631579] f_measure 0.576608 [0.555556,0.6] f_measure 0.625387 [0.588235,0.666667] f_measure 0.631579 [0.631579,0.631579] f_measure 0.631579 [0.631579,0.631579] f_measure 0.526316 [0.526316,0.526316] f_measure 0.673445 [0.625,0.727273] f_measure 0.631579 [0.631579,0.631579] f_measure 0.368421 [0.4,0.333333] f_measure 0.523662 [0.571429,0.470588] f_measure 0.417809 [0.47619,0.352941] f_measure 0.518355 [0.470588,0.571429] f_measure 0.678828 [0.727273,0.625] f_measure 0.50984 [0.608696,0.4] f_measure 0.426692 [0.285714,0.583333] f_measure 0.523662 [0.571429,0.470588] f_measure 0.684211 [0.7,0.666667] f_measure 0.364912 [0.333333,0.4] f_measure 0.526316 [0.526316,0.526316] f_measure 0.421053 [0.421053,0.421053] f_measure 0.583968 [0.461538,0.72] f_measure 0.291991 [0.434783,0.133333] f_measure 0.473684 [0.5,0.444444] f_measure 0.618764 [0.695652,0.533333] f_measure 0.682456 [0.666667,0.7] f_measure 0.576608 [0.555556,0.6] f_measure 0.455742 [0.375,0.545455] f_measure 0.421053 [0.421053,0.421053] kappa 0.1 kappa -0.27451 kappa -0.122449 kappa 0.175258 kappa 0.191919 kappa 0.5 kappa 0.1 kappa -0.1 kappa 0.029126 kappa 0.029126 kappa -0.052632 kappa 0.1 kappa -0.037736 kappa 0.1 kappa 0.479167 kappa 0.270833 kappa -0.122449 kappa 0.223301 kappa 0.5 kappa 0.175258 kappa -0.010101 kappa 0.270833 kappa 0.59596 kappa 0.1 kappa 0.009901 kappa -0.010101 kappa -0.052632 kappa 0.042553 kappa 0.009901 kappa 0.468085 kappa -0.1 kappa 0.5 kappa -0.010101 kappa 0.150943 kappa 0.326923 kappa 0.3 kappa 0.5 kappa 0.117647 kappa -0.188119 kappa 0.157895 kappa 0.146067 kappa 0.033898 kappa 0.033898 kappa 0.24 kappa -0.364641 kappa 0.155556 kappa 0.155556 kappa -0.043956 kappa -0.079545 kappa 0.164835 kappa -0.055556 kappa 0.265193 kappa 0.469274 kappa 0.256983 kappa 0.055249 kappa 0.173913 kappa 0.055249 kappa 0.155556 kappa -0.043956 kappa -0.043956 kappa 0.681564 kappa -0.079545 kappa 0.24 kappa 0.256983 kappa 0.146067 kappa -0.295455 kappa 0.065574 kappa 0.022857 kappa 0.155556 kappa 0.248588 kappa 0.366667 kappa 0.044693 kappa 0.265193 kappa 0.164835 kappa 0.273224 kappa 0.265193 kappa 0.265193 kappa 0.055249 kappa 0.380435 kappa 0.265193 kappa -0.266667 kappa 0.044693 kappa -0.167598 kappa 0.065574 kappa 0.359551 kappa 0.033898 kappa -0.021505 kappa 0.044693 kappa 0.366667 kappa -0.252747 kappa 0.055249 kappa -0.154696 kappa 0.28877 kappa -0.39548 kappa -0.055556 kappa 0.248588 kappa 0.373626 kappa 0.164835 kappa -0.032609 kappa -0.154696 kb_relative_information_score 0.655114 kb_relative_information_score -4.20285 kb_relative_information_score -0.853889 kb_relative_information_score 1.118482 kb_relative_information_score 1.970456 kb_relative_information_score 4.988842 kb_relative_information_score -0.786384 kb_relative_information_score -3.001377 kb_relative_information_score 1.204964 kb_relative_information_score -0.000633 kb_relative_information_score 1.337026 kb_relative_information_score 1.288681 kb_relative_information_score -1.030714 kb_relative_information_score 0.904093 kb_relative_information_score 4.097382 kb_relative_information_score 2.20498 kb_relative_information_score 0.189992 kb_relative_information_score 2.931905 kb_relative_information_score 4.094771 kb_relative_information_score 3.858539 kb_relative_information_score 1.531391 kb_relative_information_score 1.830181 kb_relative_information_score 5.52945 kb_relative_information_score 1.879741 kb_relative_information_score -0.647367 kb_relative_information_score 0.359542 kb_relative_information_score 2.155412 kb_relative_information_score 0.758927 kb_relative_information_score 0.64668 kb_relative_information_score 4.904977 kb_relative_information_score -0.748042 kb_relative_information_score 5.273708 kb_relative_information_score 0.392935 kb_relative_information_score 1.434252 kb_relative_information_score 2.885753 kb_relative_information_score 1.390508 kb_relative_information_score 6.412118 kb_relative_information_score 1.074057 kb_relative_information_score -1.963204 kb_relative_information_score 1.164038 kb_relative_information_score 3.592174 kb_relative_information_score 1.943271 kb_relative_information_score 0.809629 kb_relative_information_score 4.680437 kb_relative_information_score -0.548447 kb_relative_information_score 1.143565 kb_relative_information_score 0.391941 kb_relative_information_score 1.165124 kb_relative_information_score -1.697007 kb_relative_information_score 2.526873 kb_relative_information_score -1.012773 kb_relative_information_score 0.821683 kb_relative_information_score 4.548312 kb_relative_information_score 4.165815 kb_relative_information_score 4.603426 kb_relative_information_score -0.660208 kb_relative_information_score -0.326653 kb_relative_information_score 1.014996 kb_relative_information_score -0.232997 kb_relative_information_score -0.546231 kb_relative_information_score 8.512074 kb_relative_information_score 2.231842 kb_relative_information_score 3.602961 kb_relative_information_score 4.039058 kb_relative_information_score 1.491416 kb_relative_information_score -1.396396 kb_relative_information_score 0.928565 kb_relative_information_score 0.858241 kb_relative_information_score -0.853061 kb_relative_information_score 2.028361 kb_relative_information_score 3.234978 kb_relative_information_score 0.911399 kb_relative_information_score 0.857662 kb_relative_information_score 2.343863 kb_relative_information_score 2.954604 kb_relative_information_score 1.964859 kb_relative_information_score 0.717755 kb_relative_information_score 1.38973 kb_relative_information_score 2.261994 kb_relative_information_score 4.222574 kb_relative_information_score -1.165744 kb_relative_information_score 2.102436 kb_relative_information_score 1.12851 kb_relative_information_score -0.88821 kb_relative_information_score 2.616806 kb_relative_information_score 1.982198 kb_relative_information_score 1.617488 kb_relative_information_score 1.736471 kb_relative_information_score 1.926986 kb_relative_information_score -1.26734 kb_relative_information_score 0.237052 kb_relative_information_score -0.621593 kb_relative_information_score 3.051448 kb_relative_information_score -2.799078 kb_relative_information_score -1.682386 kb_relative_information_score 0.829693 kb_relative_information_score 4.393498 kb_relative_information_score 2.373604 kb_relative_information_score -0.883474 kb_relative_information_score -0.714437 mean_absolute_error 0.483305 mean_absolute_error 0.590019 mean_absolute_error 0.516399 mean_absolute_error 0.471449 mean_absolute_error 0.45009 mean_absolute_error 0.386146 mean_absolute_error 0.51667 mean_absolute_error 0.561527 mean_absolute_error 0.461833 mean_absolute_error 0.498224 mean_absolute_error 0.462438 mean_absolute_error 0.466329 mean_absolute_error 0.518099 mean_absolute_error 0.476516 mean_absolute_error 0.409274 mean_absolute_error 0.447654 mean_absolute_error 0.488972 mean_absolute_error 0.426461 mean_absolute_error 0.408853 mean_absolute_error 0.404329 mean_absolute_error 0.456963 mean_absolute_error 0.459388 mean_absolute_error 0.378465 mean_absolute_error 0.449128 mean_absolute_error 0.511214 mean_absolute_error 0.484032 mean_absolute_error 0.447252 mean_absolute_error 0.478039 mean_absolute_error 0.476695 mean_absolute_error 0.387786 mean_absolute_error 0.504205 mean_absolute_error 0.382375 mean_absolute_error 0.482147 mean_absolute_error 0.463234 mean_absolute_error 0.430114 mean_absolute_error 0.468266 mean_absolute_error 0.348615 mean_absolute_error 0.470184 mean_absolute_error 0.536091 mean_absolute_error 0.470037 mean_absolute_error 0.411348 mean_absolute_error 0.450054 mean_absolute_error 0.477089 mean_absolute_error 0.383871 mean_absolute_error 0.506566 mean_absolute_error 0.472065 mean_absolute_error 0.490623 mean_absolute_error 0.466117 mean_absolute_error 0.539307 mean_absolute_error 0.438171 mean_absolute_error 0.526082 mean_absolute_error 0.482448 mean_absolute_error 0.390466 mean_absolute_error 0.395242 mean_absolute_error 0.382395 mean_absolute_error 0.512638 mean_absolute_error 0.508766 mean_absolute_error 0.472832 mean_absolute_error 0.503796 mean_absolute_error 0.510198 mean_absolute_error 0.295592 mean_absolute_error 0.438722 mean_absolute_error 0.410443 mean_absolute_error 0.401073 mean_absolute_error 0.460355 mean_absolute_error 0.526202 mean_absolute_error 0.470931 mean_absolute_error 0.477208 mean_absolute_error 0.522371 mean_absolute_error 0.449671 mean_absolute_error 0.425637 mean_absolute_error 0.476683 mean_absolute_error 0.483491 mean_absolute_error 0.438819 mean_absolute_error 0.431694 mean_absolute_error 0.451095 mean_absolute_error 0.481555 mean_absolute_error 0.459751 mean_absolute_error 0.441185 mean_absolute_error 0.396071 mean_absolute_error 0.523319 mean_absolute_error 0.442977 mean_absolute_error 0.46349 mean_absolute_error 0.522405 mean_absolute_error 0.43514 mean_absolute_error 0.45037 mean_absolute_error 0.45178 mean_absolute_error 0.45198 mean_absolute_error 0.461739 mean_absolute_error 0.524705 mean_absolute_error 0.488949 mean_absolute_error 0.513139 mean_absolute_error 0.425062 mean_absolute_error 0.560022 mean_absolute_error 0.53753 mean_absolute_error 0.485902 mean_absolute_error 0.393944 mean_absolute_error 0.439248 mean_absolute_error 0.520567 mean_absolute_error 0.510788 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.496429 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 mean_prior_absolute_error 0.49812 number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 20 [11,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] number_of_instances 19 [10,9] precision 0.555 [0.6,0.5] precision 0.35625 [0.375,0.333333] precision 0.44375 [0.5,0.375] precision 0.595604 [0.615385,0.571429] precision 0.6 [0.636364,0.555556] precision 0.755 [0.8,0.7] precision 0.555 [0.6,0.5] precision 0.455 [0.5,0.4] precision 0.521978 [0.571429,0.461538] precision 0.521978 [0.571429,0.461538] precision 0.473333 [0.533333,0.4] precision 0.555 [0.6,0.5] precision 0.471875 [0.5,0.4375] precision 0.555 [0.6,0.5] precision 0.767857 [0.714286,0.833333] precision 0.653571 [0.642857,0.666667] precision 0.44375 [0.5,0.375] precision 0.635165 [0.714286,0.538462] precision 0.755 [0.8,0.7] precision 0.595604 [0.615385,0.571429] precision 0.5 [0.545455,0.444444] precision 0.653571 [0.642857,0.666667] precision 0.8 [0.818182,0.777778] precision 0.555 [0.6,0.5] precision 0.510101 [0.555556,0.454545] precision 0.5 [0.545455,0.444444] precision 0.473333 [0.533333,0.4] precision 0.534375 [0.5625,0.5] precision 0.510101 [0.555556,0.454545] precision 0.828125 [0.6875,1] precision 0.455 [0.5,0.4] precision 0.755 [0.8,0.7] precision 0.5 [0.545455,0.444444] precision 0.6375 [0.75,0.5] precision 0.715476 [0.833333,0.571429] precision 0.655 [0.7,0.6] precision 0.755 [0.8,0.7] precision 0.56875 [0.625,0.5] precision 0.408081 [0.444444,0.363636] precision 0.6 [0.6,0.6] precision 0.577694 [0.583333,0.571429] precision 0.520243 [0.538462,0.5] precision 0.520243 [0.538462,0.5] precision 0.671053 [0.6,0.75] precision 0.317544 [0.333333,0.3] precision 0.578947 [0.6,0.555556] precision 0.578947 [0.6,0.555556] precision 0.478469 [0.5,0.454545] precision 0.452632 [0.5,0.4] precision 0.587321 [0.625,0.545455] precision 0.473684 [0.5,0.444444] precision 0.635088 [0.666667,0.6] precision 0.738038 [0.727273,0.75] precision 0.630981 [0.636364,0.625] precision 0.52924 [0.555556,0.5] precision 0.605938 [0.666667,0.538462] precision 0.52924 [0.555556,0.5] precision 0.578947 [0.6,0.555556] precision 0.478469 [0.5,0.454545] precision 0.478469 [0.5,0.454545] precision 0.845096 [0.818182,0.875] precision 0.452632 [0.5,0.4] precision 0.671053 [0.6,0.75] precision 0.630981 [0.636364,0.625] precision 0.577694 [0.583333,0.571429] precision 0.320301 [0.428571,0.2] precision 0.537594 [0.571429,0.5] precision 0.517544 [0.533333,0.5] precision 0.578947 [0.6,0.555556] precision 0.639676 [0.615385,0.666667] precision 0.684211 [0.7,0.666667] precision 0.523923 [0.545455,0.5] precision 0.635088 [0.666667,0.6] precision 0.587321 [0.625,0.545455] precision 0.652256 [0.714286,0.583333] precision 0.635088 [0.666667,0.6] precision 0.635088 [0.666667,0.6] precision 0.52924 [0.555556,0.5] precision 0.730094 [0.833333,0.615385] precision 0.635088 [0.666667,0.6] precision 0.368421 [0.4,0.333333] precision 0.523923 [0.545455,0.5] precision 0.416866 [0.454545,0.375] precision 0.537594 [0.571429,0.5] precision 0.689223 [0.666667,0.714286] precision 0.520243 [0.538462,0.5] precision 0.484211 [0.5,0.466667] precision 0.523923 [0.545455,0.5] precision 0.684211 [0.7,0.666667] precision 0.369617 [0.375,0.363636] precision 0.52924 [0.555556,0.5] precision 0.423392 [0.444444,0.4] precision 0.792763 [1,0.5625] precision 0.281377 [0.384615,0.166667] precision 0.473684 [0.5,0.444444] precision 0.639676 [0.615385,0.666667] precision 0.696172 [0.75,0.636364] precision 0.587321 [0.625,0.545455] precision 0.481781 [0.5,0.461538] precision 0.423392 [0.444444,0.4] predictive_accuracy 0.55 predictive_accuracy 0.35 predictive_accuracy 0.45 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.75 predictive_accuracy 0.55 predictive_accuracy 0.45 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.55 predictive_accuracy 0.45 predictive_accuracy 0.55 predictive_accuracy 0.75 predictive_accuracy 0.65 predictive_accuracy 0.45 predictive_accuracy 0.6 predictive_accuracy 0.75 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.65 predictive_accuracy 0.8 predictive_accuracy 0.55 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.55 predictive_accuracy 0.5 predictive_accuracy 0.75 predictive_accuracy 0.45 predictive_accuracy 0.75 predictive_accuracy 0.5 predictive_accuracy 0.55 predictive_accuracy 0.65 predictive_accuracy 0.65 predictive_accuracy 0.75 predictive_accuracy 0.55 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.578947 predictive_accuracy 0.526316 predictive_accuracy 0.526316 predictive_accuracy 0.631579 predictive_accuracy 0.315789 predictive_accuracy 0.578947 predictive_accuracy 0.578947 predictive_accuracy 0.473684 predictive_accuracy 0.473684 predictive_accuracy 0.578947 predictive_accuracy 0.473684 predictive_accuracy 0.631579 predictive_accuracy 0.736842 predictive_accuracy 0.631579 predictive_accuracy 0.526316 predictive_accuracy 0.578947 predictive_accuracy 0.526316 predictive_accuracy 0.578947 predictive_accuracy 0.473684 predictive_accuracy 0.473684 predictive_accuracy 0.842105 predictive_accuracy 0.473684 predictive_accuracy 0.631579 predictive_accuracy 0.631579 predictive_accuracy 0.578947 predictive_accuracy 0.368421 predictive_accuracy 0.526316 predictive_accuracy 0.526316 predictive_accuracy 0.578947 predictive_accuracy 0.631579 predictive_accuracy 0.684211 predictive_accuracy 0.526316 predictive_accuracy 0.631579 predictive_accuracy 0.578947 predictive_accuracy 0.631579 predictive_accuracy 0.631579 predictive_accuracy 0.631579 predictive_accuracy 0.526316 predictive_accuracy 0.684211 predictive_accuracy 0.631579 predictive_accuracy 0.368421 predictive_accuracy 0.526316 predictive_accuracy 0.421053 predictive_accuracy 0.526316 predictive_accuracy 0.684211 predictive_accuracy 0.526316 predictive_accuracy 0.473684 predictive_accuracy 0.526316 predictive_accuracy 0.684211 predictive_accuracy 0.368421 predictive_accuracy 0.526316 predictive_accuracy 0.421053 predictive_accuracy 0.631579 predictive_accuracy 0.315789 predictive_accuracy 0.473684 predictive_accuracy 0.631579 predictive_accuracy 0.684211 predictive_accuracy 0.578947 predictive_accuracy 0.473684 predictive_accuracy 0.421053 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 prior_entropy 0.996317 recall 0.55 [0.545455,0.555556] recall 0.35 [0.272727,0.444444] recall 0.45 [0.545455,0.333333] recall 0.6 [0.727273,0.444444] recall 0.6 [0.636364,0.555556] recall 0.75 [0.727273,0.777778] recall 0.55 [0.545455,0.555556] recall 0.45 [0.454545,0.444444] recall 0.5 [0.363636,0.666667] recall 0.5 [0.363636,0.666667] recall 0.5 [0.727273,0.222222] recall 0.55 [0.545455,0.555556] recall 0.45 [0.181818,0.777778] recall 0.55 [0.545455,0.555556] recall 0.75 [0.909091,0.555556] recall 0.65 [0.818182,0.444444] recall 0.45 [0.545455,0.333333] recall 0.6 [0.454545,0.777778] recall 0.75 [0.727273,0.777778] recall 0.6 [0.727273,0.444444] recall 0.5 [0.545455,0.444444] recall 0.65 [0.818182,0.444444] recall 0.8 [0.818182,0.777778] recall 0.55 [0.545455,0.555556] recall 0.5 [0.454545,0.555556] recall 0.5 [0.545455,0.444444] recall 0.5 [0.727273,0.222222] recall 0.55 [0.818182,0.222222] recall 0.5 [0.454545,0.555556] recall 0.75 [1,0.444444] recall 0.45 [0.454545,0.444444] recall 0.75 [0.727273,0.777778] recall 0.5 [0.545455,0.444444] recall 0.55 [0.272727,0.888889] recall 0.65 [0.454545,0.888889] recall 0.65 [0.636364,0.666667] recall 0.75 [0.727273,0.777778] recall 0.55 [0.454545,0.666667] recall 0.4 [0.363636,0.444444] recall 0.6 [0.818182,0.333333] recall 0.578947 [0.7,0.444444] recall 0.526316 [0.7,0.333333] recall 0.526316 [0.7,0.333333] recall 0.631579 [0.9,0.333333] recall 0.315789 [0.3,0.333333] recall 0.578947 [0.6,0.555556] recall 0.578947 [0.6,0.555556] recall 0.473684 [0.4,0.555556] recall 0.473684 [0.7,0.222222] recall 0.578947 [0.5,0.666667] recall 0.473684 [0.5,0.444444] recall 0.631579 [0.6,0.666667] recall 0.736842 [0.8,0.666667] recall 0.631579 [0.7,0.555556] recall 0.526316 [0.5,0.555556] recall 0.578947 [0.4,0.777778] recall 0.526316 [0.5,0.555556] recall 0.578947 [0.6,0.555556] recall 0.473684 [0.4,0.555556] recall 0.473684 [0.4,0.555556] recall 0.842105 [0.9,0.777778] recall 0.473684 [0.7,0.222222] recall 0.631579 [0.9,0.333333] recall 0.631579 [0.7,0.555556] recall 0.578947 [0.7,0.444444] recall 0.368421 [0.6,0.111111] recall 0.526316 [0.4,0.666667] recall 0.526316 [0.8,0.222222] recall 0.578947 [0.6,0.555556] recall 0.631579 [0.8,0.444444] recall 0.684211 [0.7,0.666667] recall 0.526316 [0.6,0.444444] recall 0.631579 [0.6,0.666667] recall 0.578947 [0.5,0.666667] recall 0.631579 [0.5,0.777778] recall 0.631579 [0.6,0.666667] recall 0.631579 [0.6,0.666667] recall 0.526316 [0.5,0.555556] recall 0.684211 [0.5,0.888889] recall 0.631579 [0.6,0.666667] recall 0.368421 [0.4,0.333333] recall 0.526316 [0.6,0.444444] recall 0.421053 [0.5,0.333333] recall 0.526316 [0.4,0.666667] recall 0.684211 [0.8,0.555556] recall 0.526316 [0.7,0.333333] recall 0.473684 [0.2,0.777778] recall 0.526316 [0.6,0.444444] recall 0.684211 [0.7,0.666667] recall 0.368421 [0.3,0.444444] recall 0.526316 [0.5,0.555556] recall 0.421053 [0.4,0.444444] recall 0.631579 [0.3,1] recall 0.315789 [0.5,0.111111] recall 0.473684 [0.5,0.444444] recall 0.631579 [0.8,0.444444] recall 0.684211 [0.6,0.777778] recall 0.578947 [0.5,0.666667] recall 0.473684 [0.3,0.666667] recall 0.421053 [0.4,0.444444] relative_absolute_error 0.973564 relative_absolute_error 1.188528 relative_absolute_error 1.040227 relative_absolute_error 0.949681 relative_absolute_error 0.906656 relative_absolute_error 0.777848 relative_absolute_error 1.040774 relative_absolute_error 1.131133 relative_absolute_error 0.93031 relative_absolute_error 1.003616 relative_absolute_error 0.931529 relative_absolute_error 0.939367 relative_absolute_error 1.043653 relative_absolute_error 0.959889 relative_absolute_error 0.824438 relative_absolute_error 0.901749 relative_absolute_error 0.98498 relative_absolute_error 0.859058 relative_absolute_error 0.823589 relative_absolute_error 0.814476 relative_absolute_error 0.9205 relative_absolute_error 0.925386 relative_absolute_error 0.762375 relative_absolute_error 0.904718 relative_absolute_error 1.029783 relative_absolute_error 0.975028 relative_absolute_error 0.900939 relative_absolute_error 0.962957 relative_absolute_error 0.96025 relative_absolute_error 0.781153 relative_absolute_error 1.015665 relative_absolute_error 0.770252 relative_absolute_error 0.971231 relative_absolute_error 0.933134 relative_absolute_error 0.866417 relative_absolute_error 0.94327 relative_absolute_error 0.702247 relative_absolute_error 0.947133 relative_absolute_error 1.079896 relative_absolute_error 0.946836 relative_absolute_error 0.8258 relative_absolute_error 0.903505 relative_absolute_error 0.957778 relative_absolute_error 0.770638 relative_absolute_error 1.016955 relative_absolute_error 0.947693 relative_absolute_error 0.984949 relative_absolute_error 0.935751 relative_absolute_error 1.082685 relative_absolute_error 0.879648 relative_absolute_error 1.056134 relative_absolute_error 0.968537 relative_absolute_error 0.783879 relative_absolute_error 0.793467 relative_absolute_error 0.767677 relative_absolute_error 1.029146 relative_absolute_error 1.021372 relative_absolute_error 0.949232 relative_absolute_error 1.011395 relative_absolute_error 1.024246 relative_absolute_error 0.593415 relative_absolute_error 0.880755 relative_absolute_error 0.823983 relative_absolute_error 0.805174 relative_absolute_error 0.924184 relative_absolute_error 1.056376 relative_absolute_error 0.945417 relative_absolute_error 0.958017 relative_absolute_error 1.048684 relative_absolute_error 0.902737 relative_absolute_error 0.854486 relative_absolute_error 0.956964 relative_absolute_error 0.97063 relative_absolute_error 0.88095 relative_absolute_error 0.866646 relative_absolute_error 0.905594 relative_absolute_error 0.966745 relative_absolute_error 0.922972 relative_absolute_error 0.885699 relative_absolute_error 0.795132 relative_absolute_error 1.050589 relative_absolute_error 0.889297 relative_absolute_error 0.930478 relative_absolute_error 1.048753 relative_absolute_error 0.873565 relative_absolute_error 0.904139 relative_absolute_error 0.906969 relative_absolute_error 0.907371 relative_absolute_error 0.926963 relative_absolute_error 1.05337 relative_absolute_error 0.981589 relative_absolute_error 1.030151 relative_absolute_error 0.853332 relative_absolute_error 1.12427 relative_absolute_error 1.079117 relative_absolute_error 0.975472 relative_absolute_error 0.790861 relative_absolute_error 0.881811 relative_absolute_error 1.045063 relative_absolute_error 1.025432 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.497699 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_prior_squared_error 0.499395 root_mean_squared_error 0.527343 root_mean_squared_error 0.628595 root_mean_squared_error 0.563325 root_mean_squared_error 0.532734 root_mean_squared_error 0.512537 root_mean_squared_error 0.439324 root_mean_squared_error 0.562839 root_mean_squared_error 0.625017 root_mean_squared_error 0.518492 root_mean_squared_error 0.539417 root_mean_squared_error 0.522473 root_mean_squared_error 0.517352 root_mean_squared_error 0.55849 root_mean_squared_error 0.509576 root_mean_squared_error 0.445823 root_mean_squared_error 0.484218 root_mean_squared_error 0.543715 root_mean_squared_error 0.485498 root_mean_squared_error 0.467772 root_mean_squared_error 0.469486 root_mean_squared_error 0.506317 root_mean_squared_error 0.485498 root_mean_squared_error 0.433503 root_mean_squared_error 0.497268 root_mean_squared_error 0.572573 root_mean_squared_error 0.528253 root_mean_squared_error 0.498685 root_mean_squared_error 0.520695 root_mean_squared_error 0.518382 root_mean_squared_error 0.417774 root_mean_squared_error 0.544875 root_mean_squared_error 0.429485 root_mean_squared_error 0.524228 root_mean_squared_error 0.48576 root_mean_squared_error 0.476693 root_mean_squared_error 0.515188 root_mean_squared_error 0.410373 root_mean_squared_error 0.511209 root_mean_squared_error 0.564016 root_mean_squared_error 0.538907 root_mean_squared_error 0.470672 root_mean_squared_error 0.479729 root_mean_squared_error 0.538303 root_mean_squared_error 0.429586 root_mean_squared_error 0.517692 root_mean_squared_error 0.542166 root_mean_squared_error 0.568047 root_mean_squared_error 0.534567 root_mean_squared_error 0.594066 root_mean_squared_error 0.484889 root_mean_squared_error 0.558383 root_mean_squared_error 0.540691 root_mean_squared_error 0.438969 root_mean_squared_error 0.492589 root_mean_squared_error 0.433999 root_mean_squared_error 0.544596 root_mean_squared_error 0.5527 root_mean_squared_error 0.541387 root_mean_squared_error 0.557678 root_mean_squared_error 0.536436 root_mean_squared_error 0.345446 root_mean_squared_error 0.508522 root_mean_squared_error 0.472488 root_mean_squared_error 0.450147 root_mean_squared_error 0.513918 root_mean_squared_error 0.566694 root_mean_squared_error 0.516242 root_mean_squared_error 0.519917 root_mean_squared_error 0.547628 root_mean_squared_error 0.51301 root_mean_squared_error 0.480838 root_mean_squared_error 0.499839 root_mean_squared_error 0.509196 root_mean_squared_error 0.490138 root_mean_squared_error 0.477192 root_mean_squared_error 0.497462 root_mean_squared_error 0.521601 root_mean_squared_error 0.523793 root_mean_squared_error 0.49395 root_mean_squared_error 0.454379 root_mean_squared_error 0.592033 root_mean_squared_error 0.504551 root_mean_squared_error 0.523022 root_mean_squared_error 0.550972 root_mean_squared_error 0.469938 root_mean_squared_error 0.496545 root_mean_squared_error 0.489631 root_mean_squared_error 0.537003 root_mean_squared_error 0.503552 root_mean_squared_error 0.572662 root_mean_squared_error 0.556773 root_mean_squared_error 0.551575 root_mean_squared_error 0.469675 root_mean_squared_error 0.601436 root_mean_squared_error 0.574594 root_mean_squared_error 0.541398 root_mean_squared_error 0.446431 root_mean_squared_error 0.479986 root_mean_squared_error 0.556131 root_mean_squared_error 0.607512 root_relative_squared_error 1.059563 root_relative_squared_error 1.263004 root_relative_squared_error 1.13186 root_relative_squared_error 1.070395 root_relative_squared_error 1.029813 root_relative_squared_error 0.882711 root_relative_squared_error 1.130882 root_relative_squared_error 1.255815 root_relative_squared_error 1.041778 root_relative_squared_error 1.083822 root_relative_squared_error 1.049777 root_relative_squared_error 1.039488 root_relative_squared_error 1.122144 root_relative_squared_error 1.023863 root_relative_squared_error 0.895769 root_relative_squared_error 0.972913 root_relative_squared_error 1.092457 root_relative_squared_error 0.975486 root_relative_squared_error 0.93987 root_relative_squared_error 0.943313 root_relative_squared_error 1.017317 root_relative_squared_error 0.975486 root_relative_squared_error 0.871014 root_relative_squared_error 0.999135 root_relative_squared_error 1.150441 root_relative_squared_error 1.061392 root_relative_squared_error 1.001982 root_relative_squared_error 1.046205 root_relative_squared_error 1.041557 root_relative_squared_error 0.839412 root_relative_squared_error 1.094789 root_relative_squared_error 0.862943 root_relative_squared_error 1.053303 root_relative_squared_error 0.976013 root_relative_squared_error 0.957793 root_relative_squared_error 1.035139 root_relative_squared_error 0.824541 root_relative_squared_error 1.027146 root_relative_squared_error 1.133248 root_relative_squared_error 1.082797 root_relative_squared_error 0.942483 root_relative_squared_error 0.96062 root_relative_squared_error 1.07791 root_relative_squared_error 0.860212 root_relative_squared_error 1.036638 root_relative_squared_error 1.085645 root_relative_squared_error 1.137469 root_relative_squared_error 1.070428 root_relative_squared_error 1.189571 root_relative_squared_error 0.970952 root_relative_squared_error 1.118118 root_relative_squared_error 1.082692 root_relative_squared_error 0.879 root_relative_squared_error 0.98637 root_relative_squared_error 0.869049 root_relative_squared_error 1.090511 root_relative_squared_error 1.106737 root_relative_squared_error 1.084085 root_relative_squared_error 1.116707 root_relative_squared_error 1.074171 root_relative_squared_error 0.691728 root_relative_squared_error 1.018276 root_relative_squared_error 0.946119 root_relative_squared_error 0.901383 root_relative_squared_error 1.029081 root_relative_squared_error 1.13476 root_relative_squared_error 1.033733 root_relative_squared_error 1.041094 root_relative_squared_error 1.096582 root_relative_squared_error 1.027262 root_relative_squared_error 0.962839 root_relative_squared_error 1.000888 root_relative_squared_error 1.019624 root_relative_squared_error 0.981463 root_relative_squared_error 0.95554 root_relative_squared_error 0.996128 root_relative_squared_error 1.044465 root_relative_squared_error 1.048855 root_relative_squared_error 0.989096 root_relative_squared_error 0.909857 root_relative_squared_error 1.185498 root_relative_squared_error 1.010323 root_relative_squared_error 1.047309 root_relative_squared_error 1.103279 root_relative_squared_error 0.941013 root_relative_squared_error 0.994293 root_relative_squared_error 0.980447 root_relative_squared_error 1.075307 root_relative_squared_error 1.008323 root_relative_squared_error 1.146711 root_relative_squared_error 1.114894 root_relative_squared_error 1.104486 root_relative_squared_error 0.940488 root_relative_squared_error 1.204329 root_relative_squared_error 1.150579 root_relative_squared_error 1.084106 root_relative_squared_error 0.893942 root_relative_squared_error 0.961135 root_relative_squared_error 1.113608 root_relative_squared_error 1.216495 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 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