445259 2 Joaquin Vanschoren 4324 Supervised Classification predictive_accuracy 1185 weka.Bagging_REPTree(8) 2032 weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 M 2 1077 V 0.001 1077 N 3 1077 S 1 1077 L -1 1077 I 0.0 1077 P 100 1185 S 1 1185 num-slots 1 1185 I 10 1185 W weka.classifiers.trees.REPTree 1185 weka weka_3.7.12 753 wisconsin https://www.openml.org/data/download/53287/wisconsin.arff -1 1559668 description https://api.openml.org/data/download/1559668/weka_generated_run2701611773821487751.xml -1 1559671 model_readable https://api.openml.org/data/download/1559671/WekaModel_weka.classifiers.meta.Bagging6670826223431470343.model -1 1559670 model_serialized https://api.openml.org/data/download/1559670/WekaSerialized_weka.classifiers.meta.Bagging9205392093849274484.model -1 1559669 predictions https://api.openml.org/data/download/1559669/weka_generated_predictions2797377176282553671.arff area_under_roc_curve 0.566058 [0.566058,0.566058] average_cost 0 f_measure 0.549679 [0.598985,0.492703] kappa 0.093536 kb_relative_information_score 89.563933 mean_absolute_error 0.477445 mean_prior_absolute_error 0.497423 number_of_instances 1940 [1040,900] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.549515 [0.575865,0.519065] predictive_accuracy 0.552062 prior_entropy 0.996317 recall 0.552062 [0.624038,0.468889] relative_absolute_error 0.959839 root_mean_prior_squared_error 0.498696 root_mean_squared_error 0.512194 root_relative_squared_error 1.027065 scimark_benchmark 903.273728 [546.7838898786127, 1013.919993711725, 482.7975877024999, 908.0152143388744, 1564.8519536990664] total_cost 0 usercpu_time_millis 40 usercpu_time_millis_testing 0 usercpu_time_millis_training 40 area_under_roc_curve 0.494949 [0.494949,0.494949] area_under_roc_curve 0.373737 [0.373737,0.373737] area_under_roc_curve 0.424242 [0.424242,0.424242] area_under_roc_curve 0.484848 [0.484848,0.484848] area_under_roc_curve 0.565657 [0.565657,0.565657] area_under_roc_curve 0.494949 [0.494949,0.494949] area_under_roc_curve 0.484848 [0.484848,0.484848] area_under_roc_curve 0.333333 [0.333333,0.333333] area_under_roc_curve 0.484848 [0.484848,0.484848] area_under_roc_curve 0.484848 [0.484848,0.484848] area_under_roc_curve 0.363636 [0.363636,0.363636] area_under_roc_curve 0.686869 [0.686869,0.686869] area_under_roc_curve 0.484848 [0.484848,0.484848] area_under_roc_curve 0.545455 [0.545455,0.545455] area_under_roc_curve 0.787879 [0.787879,0.787879] area_under_roc_curve 0.464646 [0.464646,0.464646] area_under_roc_curve 0.363636 [0.363636,0.363636] area_under_roc_curve 0.585859 [0.585859,0.585859] area_under_roc_curve 0.656566 [0.656566,0.656566] area_under_roc_curve 0.494949 [0.494949,0.494949] area_under_roc_curve 0.636364 [0.636364,0.636364] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.59596 [0.59596,0.59596] area_under_roc_curve 0.767677 [0.767677,0.767677] area_under_roc_curve 0.474747 [0.474747,0.474747] area_under_roc_curve 0.606061 [0.606061,0.606061] area_under_roc_curve 0.570707 [0.570707,0.570707] area_under_roc_curve 0.69697 [0.69697,0.69697] area_under_roc_curve 0.565657 [0.565657,0.565657] area_under_roc_curve 0.747475 [0.747475,0.747475] area_under_roc_curve 0.686869 [0.686869,0.686869] area_under_roc_curve 0.535354 [0.535354,0.535354] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.555556 [0.555556,0.555556] area_under_roc_curve 0.606061 [0.606061,0.606061] area_under_roc_curve 0.434343 [0.434343,0.434343] area_under_roc_curve 0.646465 [0.646465,0.646465] area_under_roc_curve 0.585859 [0.585859,0.585859] area_under_roc_curve 0.656566 [0.656566,0.656566] area_under_roc_curve 0.424242 [0.424242,0.424242] area_under_roc_curve 0.544444 [0.544444,0.544444] area_under_roc_curve 0.444444 [0.444444,0.444444] area_under_roc_curve 0.488889 [0.488889,0.488889] area_under_roc_curve 0.777778 [0.777778,0.777778] area_under_roc_curve 0.366667 [0.366667,0.366667] area_under_roc_curve 0.644444 [0.644444,0.644444] area_under_roc_curve 0.566667 [0.566667,0.566667] area_under_roc_curve 0.622222 [0.622222,0.622222] area_under_roc_curve 0.466667 [0.466667,0.466667] area_under_roc_curve 0.744444 [0.744444,0.744444] area_under_roc_curve 0.622222 [0.622222,0.622222] area_under_roc_curve 0.655556 [0.655556,0.655556] area_under_roc_curve 0.744444 [0.744444,0.744444] area_under_roc_curve 0.577778 [0.577778,0.577778] area_under_roc_curve 0.655556 [0.655556,0.655556] area_under_roc_curve 0.655556 [0.655556,0.655556] area_under_roc_curve 0.644444 [0.644444,0.644444] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.677778 [0.677778,0.677778] area_under_roc_curve 0.466667 [0.466667,0.466667] area_under_roc_curve 0.877778 [0.877778,0.877778] area_under_roc_curve 0.644444 [0.644444,0.644444] area_under_roc_curve 0.655556 [0.655556,0.655556] area_under_roc_curve 0.844444 [0.844444,0.844444] area_under_roc_curve 0.555556 [0.555556,0.555556] area_under_roc_curve 0.388889 [0.388889,0.388889] area_under_roc_curve 0.455556 [0.455556,0.455556] area_under_roc_curve 0.477778 [0.477778,0.477778] area_under_roc_curve 0.488889 [0.488889,0.488889] area_under_roc_curve 0.588889 [0.588889,0.588889] area_under_roc_curve 0.622222 [0.622222,0.622222] area_under_roc_curve 0.744444 [0.744444,0.744444] area_under_roc_curve 0.611111 [0.611111,0.611111] area_under_roc_curve 0.755556 [0.755556,0.755556] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.466667 [0.466667,0.466667] area_under_roc_curve 0.333333 [0.333333,0.333333] area_under_roc_curve 0.555556 [0.555556,0.555556] area_under_roc_curve 0.522222 [0.522222,0.522222] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.522222 [0.522222,0.522222] area_under_roc_curve 0.544444 [0.544444,0.544444] area_under_roc_curve 0.544444 [0.544444,0.544444] area_under_roc_curve 0.488889 [0.488889,0.488889] area_under_roc_curve 0.655556 [0.655556,0.655556] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.588889 [0.588889,0.588889] area_under_roc_curve 0.522222 [0.522222,0.522222] area_under_roc_curve 0.722222 [0.722222,0.722222] area_under_roc_curve 0.488889 [0.488889,0.488889] area_under_roc_curve 0.577778 [0.577778,0.577778] area_under_roc_curve 0.511111 [0.511111,0.511111] area_under_roc_curve 0.611111 [0.611111,0.611111] area_under_roc_curve 0.388889 [0.388889,0.388889] area_under_roc_curve 0.566667 [0.566667,0.566667] area_under_roc_curve 0.655556 [0.655556,0.655556] area_under_roc_curve 0.577778 [0.577778,0.577778] area_under_roc_curve 0.555556 [0.555556,0.555556] area_under_roc_curve 0.555556 [0.555556,0.555556] area_under_roc_curve 0.4 [0.4,0.4] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.636 [0.72,0.533333] f_measure 0.489583 [0.583333,0.375] f_measure 0.44578 [0.521739,0.352941] f_measure 0.532 [0.64,0.4] f_measure 0.5 [0.545455,0.444444] f_measure 0.546617 [0.526316,0.571429] f_measure 0.591667 [0.666667,0.5] f_measure 0.445865 [0.421053,0.47619] f_measure 0.489583 [0.583333,0.375] f_measure 0.445865 [0.421053,0.47619] f_measure 0.285417 [0.416667,0.125] f_measure 0.7 [0.727273,0.666667] f_measure 0.591919 [0.555556,0.636364] f_measure 0.551128 [0.571429,0.526316] f_measure 0.7 [0.727273,0.666667] f_measure 0.345013 [0.434783,0.235294] f_measure 0.25625 [0.125,0.416667] f_measure 0.5 [0.545455,0.444444] f_measure 0.7 [0.727273,0.666667] f_measure 0.467033 [0.615385,0.285714] f_measure 0.6 [0.636364,0.555556] f_measure 0.636 [0.72,0.533333] f_measure 0.636 [0.72,0.533333] f_measure 0.750627 [0.761905,0.736842] f_measure 0.3875 [0.5,0.25] f_measure 0.44578 [0.521739,0.352941] f_measure 0.532 [0.64,0.4] f_measure 0.573626 [0.692308,0.428571] f_measure 0.546547 [0.608696,0.470588] f_measure 0.68022 [0.769231,0.571429] f_measure 0.647315 [0.695652,0.588235] f_measure 0.551128 [0.571429,0.526316] f_measure 0.573626 [0.692308,0.428571] f_measure 0.4 [0.454545,0.333333] f_measure 0.5 [0.5,0.5] f_measure 0.428 [0.56,0.266667] f_measure 0.647315 [0.695652,0.588235] f_measure 0.546547 [0.608696,0.470588] f_measure 0.591667 [0.666667,0.5] f_measure 0.489583 [0.583333,0.375] f_measure 0.553885 [0.666667,0.428571] f_measure 0.578947 [0.6,0.555556] f_measure 0.50984 [0.608696,0.4] f_measure 0.727689 [0.782609,0.666667] f_measure 0.421053 [0.421053,0.421053] f_measure 0.678828 [0.727273,0.625] f_measure 0.442356 [0.583333,0.285714] f_measure 0.523662 [0.571429,0.470588] f_measure 0.553885 [0.666667,0.428571] f_measure 0.629515 [0.666667,0.588235] f_measure 0.523662 [0.571429,0.470588] f_measure 0.631579 [0.631579,0.631579] f_measure 0.553885 [0.666667,0.428571] f_measure 0.597571 [0.72,0.461538] f_measure 0.553885 [0.666667,0.428571] f_measure 0.631579 [0.631579,0.631579] f_measure 0.629515 [0.666667,0.588235] f_measure 0.442356 [0.583333,0.285714] f_measure 0.682456 [0.666667,0.7] f_measure 0.578947 [0.6,0.555556] f_measure 0.789474 [0.8,0.777778] f_measure 0.57177 [0.636364,0.5] f_measure 0.523662 [0.571429,0.470588] f_measure 0.684211 [0.7,0.666667] f_measure 0.402834 [0.615385,0.166667] f_measure 0.357656 [0.454545,0.25] f_measure 0.523662 [0.571429,0.470588] f_measure 0.442356 [0.583333,0.285714] f_measure 0.473684 [0.5,0.444444] f_measure 0.50984 [0.608696,0.4] f_measure 0.523662 [0.571429,0.470588] f_measure 0.684211 [0.7,0.666667] f_measure 0.57177 [0.636364,0.5] f_measure 0.625387 [0.588235,0.666667] f_measure 0.631579 [0.631579,0.631579] f_measure 0.473684 [0.5,0.444444] f_measure 0.311956 [0.380952,0.235294] f_measure 0.523662 [0.571429,0.470588] f_measure 0.464713 [0.545455,0.375] f_measure 0.684211 [0.7,0.666667] f_measure 0.523662 [0.571429,0.470588] f_measure 0.526316 [0.526316,0.526316] f_measure 0.417809 [0.47619,0.352941] f_measure 0.578947 [0.6,0.555556] f_measure 0.629515 [0.666667,0.588235] f_measure 0.523662 [0.571429,0.470588] f_measure 0.47076 [0.444444,0.5] f_measure 0.597571 [0.72,0.461538] f_measure 0.678828 [0.727273,0.625] f_measure 0.57177 [0.636364,0.5] f_measure 0.455742 [0.375,0.545455] f_measure 0.578947 [0.6,0.555556] f_measure 0.625387 [0.588235,0.666667] 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 0.526316 [0.526316,0.526316] f_measure 0.526316 [0.526316,0.526316] f_measure 0.47076 [0.444444,0.5] f_measure 0.421053 [0.421053,0.421053] kappa 0.270833 kappa -0.030928 kappa -0.122449 kappa 0.0625 kappa -0.010101 kappa 0.117647 kappa 0.175258 kappa -0.078431 kappa -0.030928 kappa -0.078431 kappa -0.443299 kappa 0.393939 kappa 0.223301 kappa 0.1 kappa 0.393939 kappa -0.326531 kappa -0.333333 kappa -0.010101 kappa 0.393939 kappa -0.052632 kappa 0.191919 kappa 0.270833 kappa 0.270833 kappa 0.5 kappa -0.237113 kappa -0.122449 kappa 0.0625 kappa 0.157895 kappa 0.081633 kappa 0.368421 kappa 0.285714 kappa 0.1 kappa 0.157895 kappa -0.212121 kappa 0.009901 kappa -0.145833 kappa 0.285714 kappa 0.081633 kappa 0.175258 kappa -0.030928 kappa 0.136364 kappa 0.155556 kappa 0.033898 kappa 0.463277 kappa -0.154696 kappa 0.359551 kappa -0.079545 kappa 0.044693 kappa 0.136364 kappa 0.256983 kappa 0.044693 kappa 0.265193 kappa 0.136364 kappa 0.24 kappa 0.136364 kappa 0.265193 kappa 0.256983 kappa -0.079545 kappa 0.373626 kappa 0.155556 kappa 0.577778 kappa 0.146067 kappa 0.044693 kappa 0.366667 kappa -0.091954 kappa -0.280899 kappa 0.044693 kappa -0.079545 kappa -0.055556 kappa 0.033898 kappa 0.044693 kappa 0.366667 kappa 0.146067 kappa 0.273224 kappa 0.265193 kappa -0.055556 kappa -0.379888 kappa 0.044693 kappa -0.067416 kappa 0.366667 kappa 0.044693 kappa 0.055249 kappa -0.167598 kappa 0.155556 kappa 0.256983 kappa 0.044693 kappa -0.043956 kappa 0.24 kappa 0.359551 kappa 0.146067 kappa -0.032609 kappa 0.155556 kappa 0.273224 kappa -0.167598 kappa 0.065574 kappa 0.359551 kappa 0.055249 kappa 0.055249 kappa -0.043956 kappa -0.154696 kb_relative_information_score 0.621846 kb_relative_information_score -0.908378 kb_relative_information_score -1.453513 kb_relative_information_score 0.506459 kb_relative_information_score 1.048722 kb_relative_information_score 0.079924 kb_relative_information_score 0.23798 kb_relative_information_score -1.963688 kb_relative_information_score -0.063676 kb_relative_information_score -0.268068 kb_relative_information_score -2.854233 kb_relative_information_score 3.20413 kb_relative_information_score -0.162358 kb_relative_information_score 0.457195 kb_relative_information_score 3.024184 kb_relative_information_score -0.400344 kb_relative_information_score -3.340604 kb_relative_information_score 1.341334 kb_relative_information_score 1.789754 kb_relative_information_score -0.20465 kb_relative_information_score 1.574313 kb_relative_information_score 1.247994 kb_relative_information_score 1.229921 kb_relative_information_score 3.567907 kb_relative_information_score -0.59011 kb_relative_information_score 1.287522 kb_relative_information_score 1.136304 kb_relative_information_score 2.397032 kb_relative_information_score 1.094164 kb_relative_information_score 4.469326 kb_relative_information_score 2.232535 kb_relative_information_score -0.114022 kb_relative_information_score 2.432037 kb_relative_information_score 0.491142 kb_relative_information_score 1.087024 kb_relative_information_score -0.40438 kb_relative_information_score 1.700827 kb_relative_information_score 1.427489 kb_relative_information_score 2.079792 kb_relative_information_score -1.017875 kb_relative_information_score 0.801954 kb_relative_information_score -0.103711 kb_relative_information_score 0.115442 kb_relative_information_score 3.603701 kb_relative_information_score -1.898954 kb_relative_information_score 2.906857 kb_relative_information_score 0.511782 kb_relative_information_score 1.335637 kb_relative_information_score 0.380414 kb_relative_information_score 2.628994 kb_relative_information_score 0.72324 kb_relative_information_score 2.498037 kb_relative_information_score 2.173331 kb_relative_information_score 2.091515 kb_relative_information_score 1.850294 kb_relative_information_score 2.343251 kb_relative_information_score 2.469814 kb_relative_information_score 1.152379 kb_relative_information_score 2.519302 kb_relative_information_score -0.756541 kb_relative_information_score 5.487246 kb_relative_information_score 1.615287 kb_relative_information_score 2.908497 kb_relative_information_score 3.858242 kb_relative_information_score 0.471505 kb_relative_information_score -1.270855 kb_relative_information_score -0.766605 kb_relative_information_score -0.859579 kb_relative_information_score -0.506081 kb_relative_information_score 1.278642 kb_relative_information_score 1.428157 kb_relative_information_score 3.580589 kb_relative_information_score 1.442472 kb_relative_information_score 3.394253 kb_relative_information_score 1.983345 kb_relative_information_score -0.212626 kb_relative_information_score -1.981673 kb_relative_information_score 0.432616 kb_relative_information_score 0.521403 kb_relative_information_score 2.816761 kb_relative_information_score 0.151904 kb_relative_information_score 0.419384 kb_relative_information_score 0.0076 kb_relative_information_score -0.189684 kb_relative_information_score 1.537816 kb_relative_information_score 1.382401 kb_relative_information_score 0.500485 kb_relative_information_score 1.184739 kb_relative_information_score 2.412525 kb_relative_information_score -0.545856 kb_relative_information_score 0.791857 kb_relative_information_score 0.772734 kb_relative_information_score 1.156701 kb_relative_information_score -1.802674 kb_relative_information_score 0.109684 kb_relative_information_score 1.739687 kb_relative_information_score 0.610841 kb_relative_information_score 1.103845 kb_relative_information_score -0.468268 kb_relative_information_score -2.301082 mean_absolute_error 0.487606 mean_absolute_error 0.51901 mean_absolute_error 0.52881 mean_absolute_error 0.484879 mean_absolute_error 0.473615 mean_absolute_error 0.491508 mean_absolute_error 0.497535 mean_absolute_error 0.540254 mean_absolute_error 0.496022 mean_absolute_error 0.497129 mean_absolute_error 0.552989 mean_absolute_error 0.434741 mean_absolute_error 0.501522 mean_absolute_error 0.488168 mean_absolute_error 0.436529 mean_absolute_error 0.498253 mean_absolute_error 0.566802 mean_absolute_error 0.463353 mean_absolute_error 0.460657 mean_absolute_error 0.500714 mean_absolute_error 0.463584 mean_absolute_error 0.473496 mean_absolute_error 0.469582 mean_absolute_error 0.42304 mean_absolute_error 0.503492 mean_absolute_error 0.46415 mean_absolute_error 0.469834 mean_absolute_error 0.442998 mean_absolute_error 0.470586 mean_absolute_error 0.39831 mean_absolute_error 0.447992 mean_absolute_error 0.500606 mean_absolute_error 0.441621 mean_absolute_error 0.483973 mean_absolute_error 0.472304 mean_absolute_error 0.509436 mean_absolute_error 0.462935 mean_absolute_error 0.464301 mean_absolute_error 0.448027 mean_absolute_error 0.515248 mean_absolute_error 0.480713 mean_absolute_error 0.499753 mean_absolute_error 0.493574 mean_absolute_error 0.421151 mean_absolute_error 0.54062 mean_absolute_error 0.434843 mean_absolute_error 0.483315 mean_absolute_error 0.46499 mean_absolute_error 0.492567 mean_absolute_error 0.443271 mean_absolute_error 0.482988 mean_absolute_error 0.439562 mean_absolute_error 0.449842 mean_absolute_error 0.449209 mean_absolute_error 0.45694 mean_absolute_error 0.448069 mean_absolute_error 0.444466 mean_absolute_error 0.467762 mean_absolute_error 0.445693 mean_absolute_error 0.518879 mean_absolute_error 0.377736 mean_absolute_error 0.457781 mean_absolute_error 0.429249 mean_absolute_error 0.414622 mean_absolute_error 0.483387 mean_absolute_error 0.518647 mean_absolute_error 0.515513 mean_absolute_error 0.514044 mean_absolute_error 0.510811 mean_absolute_error 0.46783 mean_absolute_error 0.462491 mean_absolute_error 0.417659 mean_absolute_error 0.46468 mean_absolute_error 0.41865 mean_absolute_error 0.452354 mean_absolute_error 0.498689 mean_absolute_error 0.54119 mean_absolute_error 0.488228 mean_absolute_error 0.483011 mean_absolute_error 0.437724 mean_absolute_error 0.495117 mean_absolute_error 0.487867 mean_absolute_error 0.493437 mean_absolute_error 0.505164 mean_absolute_error 0.464621 mean_absolute_error 0.470047 mean_absolute_error 0.483725 mean_absolute_error 0.472409 mean_absolute_error 0.447944 mean_absolute_error 0.511338 mean_absolute_error 0.476629 mean_absolute_error 0.484506 mean_absolute_error 0.476012 mean_absolute_error 0.536741 mean_absolute_error 0.493967 mean_absolute_error 0.463727 mean_absolute_error 0.483336 mean_absolute_error 0.469896 mean_absolute_error 0.509573 mean_absolute_error 0.552597 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 0.653571 [0.642857,0.666667] precision 0.489011 [0.538462,0.428571] precision 0.44375 [0.5,0.375] precision 0.539286 [0.571429,0.5] precision 0.5 [0.545455,0.444444] precision 0.56875 [0.625,0.5] precision 0.595604 [0.615385,0.571429] precision 0.4625 [0.5,0.416667] precision 0.489011 [0.538462,0.428571] precision 0.4625 [0.5,0.416667] precision 0.275824 [0.384615,0.142857] precision 0.7 [0.727273,0.666667] precision 0.635165 [0.714286,0.538462] precision 0.555 [0.6,0.5] precision 0.7 [0.727273,0.666667] precision 0.341667 [0.416667,0.25] precision 0.26 [0.2,0.333333] precision 0.5 [0.545455,0.444444] precision 0.7 [0.727273,0.666667] precision 0.473333 [0.533333,0.4] precision 0.6 [0.636364,0.555556] precision 0.653571 [0.642857,0.666667] precision 0.653571 [0.642857,0.666667] precision 0.755 [0.8,0.7] precision 0.382418 [0.461538,0.285714] precision 0.44375 [0.5,0.375] precision 0.539286 [0.571429,0.5] precision 0.6 [0.6,0.6] precision 0.545833 [0.583333,0.5] precision 0.726667 [0.666667,0.8] precision 0.647917 [0.666667,0.625] precision 0.555 [0.6,0.5] precision 0.6 [0.6,0.6] precision 0.4 [0.454545,0.333333] precision 0.510101 [0.555556,0.454545] precision 0.425 [0.5,0.333333] precision 0.647917 [0.666667,0.625] precision 0.545833 [0.583333,0.5] precision 0.595604 [0.615385,0.571429] precision 0.489011 [0.538462,0.428571] precision 0.584962 [0.571429,0.6] precision 0.578947 [0.6,0.555556] precision 0.520243 [0.538462,0.5] precision 0.759109 [0.692308,0.833333] precision 0.423392 [0.444444,0.4] precision 0.689223 [0.666667,0.714286] precision 0.452632 [0.5,0.4] precision 0.523923 [0.545455,0.5] precision 0.584962 [0.571429,0.6] precision 0.630981 [0.636364,0.625] precision 0.523923 [0.545455,0.5] precision 0.635088 [0.666667,0.6] precision 0.584962 [0.571429,0.6] precision 0.671053 [0.6,0.75] precision 0.584962 [0.571429,0.6] precision 0.635088 [0.666667,0.6] precision 0.630981 [0.636364,0.625] precision 0.452632 [0.5,0.4] precision 0.696172 [0.75,0.636364] precision 0.578947 [0.6,0.555556] precision 0.789474 [0.8,0.777778] precision 0.577694 [0.583333,0.571429] precision 0.523923 [0.545455,0.5] precision 0.684211 [0.7,0.666667] precision 0.421053 [0.5,0.333333] precision 0.354637 [0.416667,0.285714] precision 0.523923 [0.545455,0.5] precision 0.452632 [0.5,0.4] precision 0.473684 [0.5,0.444444] precision 0.520243 [0.538462,0.5] precision 0.523923 [0.545455,0.5] precision 0.684211 [0.7,0.666667] precision 0.577694 [0.583333,0.571429] precision 0.652256 [0.714286,0.583333] precision 0.635088 [0.666667,0.6] precision 0.473684 [0.5,0.444444] precision 0.309809 [0.363636,0.25] precision 0.523923 [0.545455,0.5] precision 0.466165 [0.5,0.428571] precision 0.684211 [0.7,0.666667] precision 0.523923 [0.545455,0.5] precision 0.52924 [0.555556,0.5] precision 0.416866 [0.454545,0.375] precision 0.578947 [0.6,0.555556] precision 0.630981 [0.636364,0.625] precision 0.523923 [0.545455,0.5] precision 0.478469 [0.5,0.454545] precision 0.671053 [0.6,0.75] precision 0.689223 [0.666667,0.714286] precision 0.577694 [0.583333,0.571429] precision 0.481781 [0.5,0.461538] precision 0.578947 [0.6,0.555556] precision 0.652256 [0.714286,0.583333] precision 0.416866 [0.454545,0.375] precision 0.537594 [0.571429,0.5] precision 0.689223 [0.666667,0.714286] precision 0.52924 [0.555556,0.5] precision 0.52924 [0.555556,0.5] precision 0.478469 [0.5,0.454545] precision 0.423392 [0.444444,0.4] predictive_accuracy 0.65 predictive_accuracy 0.5 predictive_accuracy 0.45 predictive_accuracy 0.55 predictive_accuracy 0.5 predictive_accuracy 0.55 predictive_accuracy 0.6 predictive_accuracy 0.45 predictive_accuracy 0.5 predictive_accuracy 0.45 predictive_accuracy 0.3 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.55 predictive_accuracy 0.7 predictive_accuracy 0.35 predictive_accuracy 0.3 predictive_accuracy 0.5 predictive_accuracy 0.7 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.65 predictive_accuracy 0.65 predictive_accuracy 0.75 predictive_accuracy 0.4 predictive_accuracy 0.45 predictive_accuracy 0.55 predictive_accuracy 0.6 predictive_accuracy 0.55 predictive_accuracy 0.7 predictive_accuracy 0.65 predictive_accuracy 0.55 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.5 predictive_accuracy 0.45 predictive_accuracy 0.65 predictive_accuracy 0.55 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.578947 predictive_accuracy 0.578947 predictive_accuracy 0.526316 predictive_accuracy 0.736842 predictive_accuracy 0.421053 predictive_accuracy 0.684211 predictive_accuracy 0.473684 predictive_accuracy 0.526316 predictive_accuracy 0.578947 predictive_accuracy 0.631579 predictive_accuracy 0.526316 predictive_accuracy 0.631579 predictive_accuracy 0.578947 predictive_accuracy 0.631579 predictive_accuracy 0.578947 predictive_accuracy 0.631579 predictive_accuracy 0.631579 predictive_accuracy 0.473684 predictive_accuracy 0.684211 predictive_accuracy 0.578947 predictive_accuracy 0.789474 predictive_accuracy 0.578947 predictive_accuracy 0.526316 predictive_accuracy 0.684211 predictive_accuracy 0.473684 predictive_accuracy 0.368421 predictive_accuracy 0.526316 predictive_accuracy 0.473684 predictive_accuracy 0.473684 predictive_accuracy 0.526316 predictive_accuracy 0.526316 predictive_accuracy 0.684211 predictive_accuracy 0.578947 predictive_accuracy 0.631579 predictive_accuracy 0.631579 predictive_accuracy 0.473684 predictive_accuracy 0.315789 predictive_accuracy 0.526316 predictive_accuracy 0.473684 predictive_accuracy 0.684211 predictive_accuracy 0.526316 predictive_accuracy 0.526316 predictive_accuracy 0.421053 predictive_accuracy 0.578947 predictive_accuracy 0.631579 predictive_accuracy 0.526316 predictive_accuracy 0.473684 predictive_accuracy 0.631579 predictive_accuracy 0.684211 predictive_accuracy 0.578947 predictive_accuracy 0.473684 predictive_accuracy 0.578947 predictive_accuracy 0.631579 predictive_accuracy 0.421053 predictive_accuracy 0.526316 predictive_accuracy 0.684211 predictive_accuracy 0.526316 predictive_accuracy 0.526316 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 0.65 [0.818182,0.444444] recall 0.5 [0.636364,0.333333] recall 0.45 [0.545455,0.333333] recall 0.55 [0.727273,0.333333] recall 0.5 [0.545455,0.444444] recall 0.55 [0.454545,0.666667] recall 0.6 [0.727273,0.444444] recall 0.45 [0.363636,0.555556] recall 0.5 [0.636364,0.333333] recall 0.45 [0.363636,0.555556] recall 0.3 [0.454545,0.111111] recall 0.7 [0.727273,0.666667] recall 0.6 [0.454545,0.777778] recall 0.55 [0.545455,0.555556] recall 0.7 [0.727273,0.666667] recall 0.35 [0.454545,0.222222] recall 0.3 [0.090909,0.555556] recall 0.5 [0.545455,0.444444] recall 0.7 [0.727273,0.666667] recall 0.5 [0.727273,0.222222] recall 0.6 [0.636364,0.555556] recall 0.65 [0.818182,0.444444] recall 0.65 [0.818182,0.444444] recall 0.75 [0.727273,0.777778] recall 0.4 [0.545455,0.222222] recall 0.45 [0.545455,0.333333] recall 0.55 [0.727273,0.333333] recall 0.6 [0.818182,0.333333] recall 0.55 [0.636364,0.444444] recall 0.7 [0.909091,0.444444] recall 0.65 [0.727273,0.555556] recall 0.55 [0.545455,0.555556] recall 0.6 [0.818182,0.333333] recall 0.4 [0.454545,0.333333] recall 0.5 [0.454545,0.555556] recall 0.45 [0.636364,0.222222] recall 0.65 [0.727273,0.555556] recall 0.55 [0.636364,0.444444] recall 0.6 [0.727273,0.444444] recall 0.5 [0.636364,0.333333] recall 0.578947 [0.8,0.333333] recall 0.578947 [0.6,0.555556] recall 0.526316 [0.7,0.333333] recall 0.736842 [0.9,0.555556] recall 0.421053 [0.4,0.444444] recall 0.684211 [0.8,0.555556] recall 0.473684 [0.7,0.222222] recall 0.526316 [0.6,0.444444] recall 0.578947 [0.8,0.333333] recall 0.631579 [0.7,0.555556] recall 0.526316 [0.6,0.444444] recall 0.631579 [0.6,0.666667] recall 0.578947 [0.8,0.333333] recall 0.631579 [0.9,0.333333] recall 0.578947 [0.8,0.333333] recall 0.631579 [0.6,0.666667] recall 0.631579 [0.7,0.555556] recall 0.473684 [0.7,0.222222] recall 0.684211 [0.6,0.777778] recall 0.578947 [0.6,0.555556] recall 0.789474 [0.8,0.777778] recall 0.578947 [0.7,0.444444] recall 0.526316 [0.6,0.444444] recall 0.684211 [0.7,0.666667] recall 0.473684 [0.8,0.111111] recall 0.368421 [0.5,0.222222] recall 0.526316 [0.6,0.444444] recall 0.473684 [0.7,0.222222] recall 0.473684 [0.5,0.444444] recall 0.526316 [0.7,0.333333] recall 0.526316 [0.6,0.444444] recall 0.684211 [0.7,0.666667] recall 0.578947 [0.7,0.444444] recall 0.631579 [0.5,0.777778] recall 0.631579 [0.6,0.666667] recall 0.473684 [0.5,0.444444] recall 0.315789 [0.4,0.222222] recall 0.526316 [0.6,0.444444] recall 0.473684 [0.6,0.333333] recall 0.684211 [0.7,0.666667] recall 0.526316 [0.6,0.444444] recall 0.526316 [0.5,0.555556] recall 0.421053 [0.5,0.333333] recall 0.578947 [0.6,0.555556] recall 0.631579 [0.7,0.555556] recall 0.526316 [0.6,0.444444] recall 0.473684 [0.4,0.555556] recall 0.631579 [0.9,0.333333] recall 0.684211 [0.8,0.555556] recall 0.578947 [0.7,0.444444] recall 0.473684 [0.3,0.666667] recall 0.578947 [0.6,0.555556] recall 0.631579 [0.5,0.777778] recall 0.421053 [0.5,0.333333] recall 0.526316 [0.4,0.666667] recall 0.684211 [0.8,0.555556] recall 0.526316 [0.5,0.555556] recall 0.526316 [0.5,0.555556] recall 0.473684 [0.4,0.555556] recall 0.421053 [0.4,0.444444] relative_absolute_error 0.982229 relative_absolute_error 1.045488 relative_absolute_error 1.065229 relative_absolute_error 0.976735 relative_absolute_error 0.954044 relative_absolute_error 0.990087 relative_absolute_error 1.002229 relative_absolute_error 1.088281 relative_absolute_error 0.999181 relative_absolute_error 1.001412 relative_absolute_error 1.113935 relative_absolute_error 0.875737 relative_absolute_error 1.01026 relative_absolute_error 0.98336 relative_absolute_error 0.87934 relative_absolute_error 1.003676 relative_absolute_error 1.14176 relative_absolute_error 0.933373 relative_absolute_error 0.927943 relative_absolute_error 1.008633 relative_absolute_error 0.933838 relative_absolute_error 0.953804 relative_absolute_error 0.945921 relative_absolute_error 0.852167 relative_absolute_error 1.014228 relative_absolute_error 0.934978 relative_absolute_error 0.946428 relative_absolute_error 0.892369 relative_absolute_error 0.947944 relative_absolute_error 0.802352 relative_absolute_error 0.902429 relative_absolute_error 1.008414 relative_absolute_error 0.889597 relative_absolute_error 0.974909 relative_absolute_error 0.951403 relative_absolute_error 1.026201 relative_absolute_error 0.932531 relative_absolute_error 0.935282 relative_absolute_error 0.9025 relative_absolute_error 1.037909 relative_absolute_error 0.965054 relative_absolute_error 1.003278 relative_absolute_error 0.990873 relative_absolute_error 0.845481 relative_absolute_error 1.085321 relative_absolute_error 0.872968 relative_absolute_error 0.970278 relative_absolute_error 0.933489 relative_absolute_error 0.988851 relative_absolute_error 0.889888 relative_absolute_error 0.96962 relative_absolute_error 0.882441 relative_absolute_error 0.903079 relative_absolute_error 0.901808 relative_absolute_error 0.917329 relative_absolute_error 0.89952 relative_absolute_error 0.892286 relative_absolute_error 0.939055 relative_absolute_error 0.89475 relative_absolute_error 1.041674 relative_absolute_error 0.758323 relative_absolute_error 0.919018 relative_absolute_error 0.861737 relative_absolute_error 0.832372 relative_absolute_error 0.970422 relative_absolute_error 1.041208 relative_absolute_error 1.034918 relative_absolute_error 1.031968 relative_absolute_error 1.025476 relative_absolute_error 0.93919 relative_absolute_error 0.928472 relative_absolute_error 0.83847 relative_absolute_error 0.932866 relative_absolute_error 0.84046 relative_absolute_error 0.908122 relative_absolute_error 1.001142 relative_absolute_error 1.086465 relative_absolute_error 0.98014 relative_absolute_error 0.969667 relative_absolute_error 0.878752 relative_absolute_error 0.99397 relative_absolute_error 0.979416 relative_absolute_error 0.990597 relative_absolute_error 1.014141 relative_absolute_error 0.932749 relative_absolute_error 0.943642 relative_absolute_error 0.9711 relative_absolute_error 0.948384 relative_absolute_error 0.899269 relative_absolute_error 1.026536 relative_absolute_error 0.956855 relative_absolute_error 0.972669 relative_absolute_error 0.955616 relative_absolute_error 1.077533 relative_absolute_error 0.991663 relative_absolute_error 0.930953 relative_absolute_error 0.97032 relative_absolute_error 0.943339 relative_absolute_error 1.022993 relative_absolute_error 1.109365 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 0.514866 root_mean_squared_error 0.557901 root_mean_squared_error 0.569901 root_mean_squared_error 0.524229 root_mean_squared_error 0.520678 root_mean_squared_error 0.528587 root_mean_squared_error 0.544924 root_mean_squared_error 0.57711 root_mean_squared_error 0.535872 root_mean_squared_error 0.522902 root_mean_squared_error 0.588311 root_mean_squared_error 0.48201 root_mean_squared_error 0.531066 root_mean_squared_error 0.512616 root_mean_squared_error 0.44849 root_mean_squared_error 0.528703 root_mean_squared_error 0.595404 root_mean_squared_error 0.498666 root_mean_squared_error 0.477514 root_mean_squared_error 0.532542 root_mean_squared_error 0.486741 root_mean_squared_error 0.496446 root_mean_squared_error 0.489213 root_mean_squared_error 0.45848 root_mean_squared_error 0.538716 root_mean_squared_error 0.500414 root_mean_squared_error 0.525126 root_mean_squared_error 0.479489 root_mean_squared_error 0.499027 root_mean_squared_error 0.439356 root_mean_squared_error 0.466598 root_mean_squared_error 0.525146 root_mean_squared_error 0.471905 root_mean_squared_error 0.511018 root_mean_squared_error 0.505477 root_mean_squared_error 0.543913 root_mean_squared_error 0.497431 root_mean_squared_error 0.502666 root_mean_squared_error 0.490235 root_mean_squared_error 0.559258 root_mean_squared_error 0.52102 root_mean_squared_error 0.526933 root_mean_squared_error 0.536654 root_mean_squared_error 0.456782 root_mean_squared_error 0.565277 root_mean_squared_error 0.477488 root_mean_squared_error 0.528224 root_mean_squared_error 0.513439 root_mean_squared_error 0.529842 root_mean_squared_error 0.462942 root_mean_squared_error 0.504798 root_mean_squared_error 0.486834 root_mean_squared_error 0.483483 root_mean_squared_error 0.501531 root_mean_squared_error 0.47865 root_mean_squared_error 0.493459 root_mean_squared_error 0.476454 root_mean_squared_error 0.517933 root_mean_squared_error 0.482046 root_mean_squared_error 0.543111 root_mean_squared_error 0.407378 root_mean_squared_error 0.495339 root_mean_squared_error 0.474102 root_mean_squared_error 0.430139 root_mean_squared_error 0.522561 root_mean_squared_error 0.55232 root_mean_squared_error 0.551445 root_mean_squared_error 0.543364 root_mean_squared_error 0.550357 root_mean_squared_error 0.50431 root_mean_squared_error 0.506717 root_mean_squared_error 0.457604 root_mean_squared_error 0.495559 root_mean_squared_error 0.458315 root_mean_squared_error 0.476549 root_mean_squared_error 0.527325 root_mean_squared_error 0.579112 root_mean_squared_error 0.521242 root_mean_squared_error 0.513815 root_mean_squared_error 0.464012 root_mean_squared_error 0.522497 root_mean_squared_error 0.509599 root_mean_squared_error 0.533406 root_mean_squared_error 0.53213 root_mean_squared_error 0.489302 root_mean_squared_error 0.507461 root_mean_squared_error 0.51671 root_mean_squared_error 0.494649 root_mean_squared_error 0.47109 root_mean_squared_error 0.526435 root_mean_squared_error 0.510966 root_mean_squared_error 0.511636 root_mean_squared_error 0.50515 root_mean_squared_error 0.568842 root_mean_squared_error 0.530763 root_mean_squared_error 0.489357 root_mean_squared_error 0.508768 root_mean_squared_error 0.498353 root_mean_squared_error 0.524334 root_mean_squared_error 0.634243 root_relative_squared_error 1.034493 root_relative_squared_error 1.120962 root_relative_squared_error 1.145071 root_relative_squared_error 1.053306 root_relative_squared_error 1.046171 root_relative_squared_error 1.062062 root_relative_squared_error 1.094887 root_relative_squared_error 1.159556 root_relative_squared_error 1.0767 root_relative_squared_error 1.050639 root_relative_squared_error 1.182062 root_relative_squared_error 0.968477 root_relative_squared_error 1.067044 root_relative_squared_error 1.029972 root_relative_squared_error 0.901127 root_relative_squared_error 1.062296 root_relative_squared_error 1.196314 root_relative_squared_error 1.001944 root_relative_squared_error 0.959444 root_relative_squared_error 1.070008 root_relative_squared_error 0.977982 root_relative_squared_error 0.997483 root_relative_squared_error 0.98295 root_relative_squared_error 0.921201 root_relative_squared_error 1.082413 root_relative_squared_error 1.005456 root_relative_squared_error 1.055108 root_relative_squared_error 0.963411 root_relative_squared_error 1.002668 root_relative_squared_error 0.882775 root_relative_squared_error 0.93751 root_relative_squared_error 1.055149 root_relative_squared_error 0.948173 root_relative_squared_error 1.026762 root_relative_squared_error 1.015628 root_relative_squared_error 1.092857 root_relative_squared_error 0.999461 root_relative_squared_error 1.009981 root_relative_squared_error 0.985004 root_relative_squared_error 1.123687 root_relative_squared_error 1.043301 root_relative_squared_error 1.055142 root_relative_squared_error 1.074606 root_relative_squared_error 0.914669 root_relative_squared_error 1.131923 root_relative_squared_error 0.956131 root_relative_squared_error 1.057727 root_relative_squared_error 1.028121 root_relative_squared_error 1.060968 root_relative_squared_error 0.927005 root_relative_squared_error 1.010818 root_relative_squared_error 0.974846 root_relative_squared_error 0.968137 root_relative_squared_error 1.004276 root_relative_squared_error 0.958458 root_relative_squared_error 0.988112 root_relative_squared_error 0.954061 root_relative_squared_error 1.03712 root_relative_squared_error 0.96526 root_relative_squared_error 1.087537 root_relative_squared_error 0.815742 root_relative_squared_error 0.991878 root_relative_squared_error 0.949353 root_relative_squared_error 0.86132 root_relative_squared_error 1.046387 root_relative_squared_error 1.105978 root_relative_squared_error 1.104224 root_relative_squared_error 1.088044 root_relative_squared_error 1.102047 root_relative_squared_error 1.009841 root_relative_squared_error 1.014661 root_relative_squared_error 0.916316 root_relative_squared_error 0.992318 root_relative_squared_error 0.917739 root_relative_squared_error 0.954251 root_relative_squared_error 1.055926 root_relative_squared_error 1.159626 root_relative_squared_error 1.043746 root_relative_squared_error 1.028874 root_relative_squared_error 0.929148 root_relative_squared_error 1.046259 root_relative_squared_error 1.020433 root_relative_squared_error 1.068104 root_relative_squared_error 1.065548 root_relative_squared_error 0.979789 root_relative_squared_error 1.01615 root_relative_squared_error 1.034672 root_relative_squared_error 0.990496 root_relative_squared_error 0.94332 root_relative_squared_error 1.054144 root_relative_squared_error 1.023169 root_relative_squared_error 1.02451 root_relative_squared_error 1.011523 root_relative_squared_error 1.139061 root_relative_squared_error 1.062812 root_relative_squared_error 0.979899 root_relative_squared_error 1.018767 root_relative_squared_error 0.997913 root_relative_squared_error 1.049938 root_relative_squared_error 1.270021 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 50 usercpu_time_millis 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 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 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 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 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 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 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 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 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 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 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_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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