439129 2 Joaquin Vanschoren 4321 Supervised Classification predictive_accuracy 1196 weka.RotationForest_PrincipalComponents_J48(14) 2066 weka.classifiers.meta.RotationForest -- -G 3 -H 3 -P 50 -F "weka.filters.unsupervised.attribute.PrincipalComponents -R 1.0 -A 5 -M -1" -S 1 -num-slots 1 -I 160 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 C 0.25 1068 M 2 1068 R 1.0 1164 A 5 1164 M -1 1164 G 3 1196 H 3 1196 P 50 1196 F weka.filters.unsupervised.attribute.PrincipalComponents 1196 S 1 1196 num-slots 1 1196 I 160 1196 W weka.classifiers.trees.J48 1196 weka weka_3.7.12 750 pm10 https://www.openml.org/data/download/53284/pm10.arff -1 1536350 description https://api.openml.org/data/download/1536350/weka_generated_run567991939805727280.xml -1 1536352 model_readable https://api.openml.org/data/download/1536352/WekaModel_weka.classifiers.meta.RotationForest2839067806095882568.model -1 1536351 model_serialized https://api.openml.org/data/download/1536351/WekaSerialized_weka.classifiers.meta.RotationForest6876933697916472387.model -1 1536353 predictions https://api.openml.org/data/download/1536353/weka_generated_predictions7112259671849958360.arff area_under_roc_curve 0.561501 [0.561501,0.561501] average_cost 0 f_measure 0.512215 [0.652834,0.367024] kappa 0.094987 kb_relative_information_score 17.845972 mean_absolute_error 0.498661 mean_prior_absolute_error 0.499873 number_of_instances 5000 [2540,2460] os_information [Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64] precision 0.568883 [0.53803,0.600739] predictive_accuracy 0.5516 prior_entropy 0.999817 recall 0.5516 [0.829921,0.264228] relative_absolute_error 0.997577 root_mean_prior_squared_error 0.499936 root_mean_squared_error 0.499101 root_relative_squared_error 0.998329 scimark_benchmark 1051.249013 [708.1772627393548, 995.3280053932883, 503.63125673996535, 1161.985793989865, 1887.1227479440583] total_cost 0 usercpu_time_millis 2600 usercpu_time_millis_testing 1540 usercpu_time_millis_training 1060 area_under_roc_curve 0.598558 [0.598558,0.598558] area_under_roc_curve 0.525641 [0.525641,0.525641] area_under_roc_curve 0.669071 [0.669071,0.669071] area_under_roc_curve 0.5384 [0.5384,0.5384] area_under_roc_curve 0.635417 [0.635417,0.635417] area_under_roc_curve 0.5072 [0.5072,0.5072] area_under_roc_curve 0.644 [0.644,0.644] area_under_roc_curve 0.424679 [0.424679,0.424679] area_under_roc_curve 0.5088 [0.5088,0.5088] area_under_roc_curve 0.55609 [0.55609,0.55609] area_under_roc_curve 0.386218 [0.386218,0.386218] area_under_roc_curve 0.538462 [0.538462,0.538462] area_under_roc_curve 0.661058 [0.661058,0.661058] area_under_roc_curve 0.4488 [0.4488,0.4488] area_under_roc_curve 0.485577 [0.485577,0.485577] area_under_roc_curve 0.5488 [0.5488,0.5488] area_under_roc_curve 0.6576 [0.6576,0.6576] area_under_roc_curve 0.588942 [0.588942,0.588942] area_under_roc_curve 0.7128 [0.7128,0.7128] area_under_roc_curve 0.598558 [0.598558,0.598558] area_under_roc_curve 0.528846 [0.528846,0.528846] area_under_roc_curve 0.483974 [0.483974,0.483974] area_under_roc_curve 0.583333 [0.583333,0.583333] area_under_roc_curve 0.6256 [0.6256,0.6256] area_under_roc_curve 0.633013 [0.633013,0.633013] area_under_roc_curve 0.4944 [0.4944,0.4944] area_under_roc_curve 0.5024 [0.5024,0.5024] area_under_roc_curve 0.453526 [0.453526,0.453526] area_under_roc_curve 0.7088 [0.7088,0.7088] area_under_roc_curve 0.595353 [0.595353,0.595353] area_under_roc_curve 0.610577 [0.610577,0.610577] area_under_roc_curve 0.691506 [0.691506,0.691506] area_under_roc_curve 0.663462 [0.663462,0.663462] area_under_roc_curve 0.6848 [0.6848,0.6848] area_under_roc_curve 0.650641 [0.650641,0.650641] area_under_roc_curve 0.5672 [0.5672,0.5672] area_under_roc_curve 0.6432 [0.6432,0.6432] area_under_roc_curve 0.572917 [0.572917,0.572917] area_under_roc_curve 0.6376 [0.6376,0.6376] area_under_roc_curve 0.455929 [0.455929,0.455929] area_under_roc_curve 0.6208 [0.6208,0.6208] area_under_roc_curve 0.668 [0.668,0.668] area_under_roc_curve 0.5896 [0.5896,0.5896] area_under_roc_curve 0.5248 [0.5248,0.5248] area_under_roc_curve 0.624 [0.624,0.624] area_under_roc_curve 0.6408 [0.6408,0.6408] area_under_roc_curve 0.592 [0.592,0.592] area_under_roc_curve 0.6592 [0.6592,0.6592] area_under_roc_curve 0.5824 [0.5824,0.5824] area_under_roc_curve 0.6176 [0.6176,0.6176] area_under_roc_curve 0.6888 [0.6888,0.6888] area_under_roc_curve 0.5056 [0.5056,0.5056] area_under_roc_curve 0.444 [0.444,0.444] area_under_roc_curve 0.5736 [0.5736,0.5736] area_under_roc_curve 0.4384 [0.4384,0.4384] area_under_roc_curve 0.6032 [0.6032,0.6032] area_under_roc_curve 0.6256 [0.6256,0.6256] area_under_roc_curve 0.612 [0.612,0.612] area_under_roc_curve 0.6768 [0.6768,0.6768] area_under_roc_curve 0.5576 [0.5576,0.5576] area_under_roc_curve 0.5848 [0.5848,0.5848] area_under_roc_curve 0.5264 [0.5264,0.5264] area_under_roc_curve 0.4536 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f_measure 0.457143 [0.615385,0.285714] f_measure 0.51178 [0.634921,0.378378] f_measure 0.54955 [0.666667,0.432432] f_measure 0.51178 [0.634921,0.378378] f_measure 0.565936 [0.644068,0.487805] f_measure 0.50665 [0.634921,0.378378] f_measure 0.479193 [0.590164,0.358974] f_measure 0.52381 [0.714286,0.333333] f_measure 0.469326 [0.603175,0.324324] f_measure 0.596688 [0.698413,0.486486] f_measure 0.645851 [0.721311,0.564103] f_measure 0.486947 [0.656716,0.30303] f_measure 0.57033 [0.716418,0.424242] f_measure 0.442334 [0.626866,0.242424] f_measure 0.462366 [0.666667,0.258065] f_measure 0.607276 [0.677966,0.536585] f_measure 0.562618 [0.724638,0.387097] f_measure 0.428571 [0.657143,0.2] f_measure 0.457143 [0.615385,0.285714] f_measure 0.52381 [0.714286,0.333333] f_measure 0.575552 [0.677419,0.473684] f_measure 0.494505 [0.646154,0.342857] f_measure 0.466338 [0.551724,0.380952] f_measure 0.558638 [0.655738,0.461538] f_measure 0.465241 [0.636364,0.294118] f_measure 0.448529 [0.647059,0.25] f_measure 0.617997 [0.709677,0.526316] f_measure 0.448217 [0.580645,0.315789] f_measure 0.490662 [0.612903,0.368421] f_measure 0.522569 [0.65625,0.388889] f_measure 0.494505 [0.646154,0.342857] f_measure 0.406593 [0.584615,0.228571] f_measure 0.448529 [0.647059,0.25] f_measure 0.5 [0.6,0.4] f_measure 0.589491 [0.655172,0.52381] f_measure 0.509804 [0.666667,0.352941] f_measure 0.554367 [0.69697,0.411765] f_measure 0.626374 [0.738462,0.514286] f_measure 0.575552 [0.677419,0.473684] f_measure 0.479873 [0.656716,0.30303] f_measure 0.474569 [0.590164,0.358974] f_measure 0.420849 [0.571429,0.27027] f_measure 0.596688 [0.698413,0.486486] f_measure 0.465241 [0.636364,0.294118] f_measure 0.51178 [0.634921,0.378378] f_measure 0.527917 [0.65625,0.388889] f_measure 0.434645 [0.626866,0.242424] f_measure 0.395864 [0.52459,0.25641] f_measure 0.428571 [0.657143,0.2] f_measure 0.490044 [0.704225,0.275862] f_measure 0.355159 [0.638889,0.071429] f_measure 0.428571 [0.657143,0.2] f_measure 0.586667 [0.666667,0.5] f_measure 0.509804 [0.666667,0.352941] f_measure 0.604064 [0.727273,0.470588] f_measure 0.457143 [0.615385,0.285714] f_measure 0.458333 [0.566667,0.35] f_measure 0.560071 [0.69697,0.411765] f_measure 0.494505 [0.646154,0.342857] f_measure 0.450549 [0.615385,0.285714] f_measure 0.509116 [0.695652,0.322581] f_measure 0.509116 [0.695652,0.322581] f_measure 0.366508 [0.638889,0.071429] f_measure 0.454365 [0.694444,0.214286] f_measure 0.49286 [0.561404,0.418605] f_measure 0.674286 [0.769231,0.571429] f_measure 0.494485 [0.676471,0.3125] f_measure 0.485 [0.625,0.333333] f_measure 0.479873 [0.656716,0.30303] f_measure 0.558638 [0.655738,0.461538] f_measure 0.565936 [0.644068,0.487805] f_measure 0.494505 [0.646154,0.342857] f_measure 0.516078 [0.666667,0.352941] f_measure 0.494505 [0.646154,0.342857] f_measure 0.560071 [0.69697,0.411765] f_measure 0.399167 [0.5625,0.222222] f_measure 0.52381 [0.714286,0.333333] f_measure 0.570833 [0.6875,0.444444] f_measure 0.522569 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0.180328 kappa 0.08 kappa 0 kappa 0.16 kappa 0.16 kappa -0.076159 kappa 0.12 kappa -0.009693 kappa 0.386252 kappa 0.12 kappa 0.019608 kappa 0.08 kappa 0.16 kappa 0.16 kappa 0.08 kappa 0.098361 kappa 0.08 kappa 0.180328 kappa -0.143791 kappa 0.2 kappa 0.183007 kappa 0.12 kb_relative_information_score 0.295232 kb_relative_information_score 0.224863 kb_relative_information_score 0.285764 kb_relative_information_score 0.311941 kb_relative_information_score 0.189543 kb_relative_information_score 0.073118 kb_relative_information_score 0.561584 kb_relative_information_score -0.136443 kb_relative_information_score -0.209016 kb_relative_information_score 0.332935 kb_relative_information_score -0.754944 kb_relative_information_score 0.139438 kb_relative_information_score 0.506806 kb_relative_information_score -0.102464 kb_relative_information_score 0.071927 kb_relative_information_score 0.045044 kb_relative_information_score 0.353837 kb_relative_information_score 0.350946 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mean_absolute_error 0.499546 mean_absolute_error 0.499784 mean_absolute_error 0.501298 mean_absolute_error 0.497169 mean_absolute_error 0.500664 mean_absolute_error 0.497023 mean_absolute_error 0.496604 mean_absolute_error 0.497213 mean_absolute_error 0.496598 mean_absolute_error 0.498403 mean_absolute_error 0.498816 mean_absolute_error 0.496772 mean_absolute_error 0.497652 mean_absolute_error 0.500312 mean_absolute_error 0.499975 mean_absolute_error 0.498045 mean_absolute_error 0.499904 mean_absolute_error 0.498136 mean_absolute_error 0.502361 mean_absolute_error 0.498152 mean_absolute_error 0.497373 mean_absolute_error 0.49786 mean_absolute_error 0.496333 mean_absolute_error 0.499116 mean_absolute_error 0.497352 mean_absolute_error 0.495808 mean_absolute_error 0.498573 mean_absolute_error 0.501288 mean_absolute_error 0.49839 mean_absolute_error 0.500174 mean_absolute_error 0.497034 mean_absolute_error 0.497098 mean_absolute_error 0.4962 mean_absolute_error 0.496267 mean_absolute_error 0.496827 mean_absolute_error 0.498828 mean_absolute_error 0.499992 mean_absolute_error 0.502966 mean_absolute_error 0.497088 mean_absolute_error 0.497946 mean_absolute_error 0.49689 mean_absolute_error 0.498316 mean_absolute_error 0.498768 mean_absolute_error 0.504658 mean_absolute_error 0.500127 mean_absolute_error 0.497185 mean_absolute_error 0.499957 mean_absolute_error 0.498474 mean_absolute_error 0.49822 mean_absolute_error 0.499152 mean_absolute_error 0.49573 mean_absolute_error 0.497836 mean_absolute_error 0.502418 mean_absolute_error 0.496185 mean_absolute_error 0.497104 mean_absolute_error 0.498768 mean_absolute_error 0.497605 mean_absolute_error 0.498841 mean_absolute_error 0.500959 mean_absolute_error 0.49779 mean_absolute_error 0.49712 mean_absolute_error 0.497393 mean_absolute_error 0.496895 mean_absolute_error 0.501744 mean_absolute_error 0.499335 mean_absolute_error 0.49691 mean_absolute_error 0.496847 mean_absolute_error 0.498963 mean_absolute_error 0.500683 mean_absolute_error 0.498936 mean_absolute_error 0.499737 mean_absolute_error 0.516564 mean_absolute_error 0.497993 mean_absolute_error 0.496326 mean_absolute_error 0.496354 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] precision 0.513684 [0.526316,0.5] precision 0.585143 [0.571429,0.6] precision 0.545691 [0.536585,0.555556] precision 0.669377 [0.560976,0.777778] precision 0.635 [0.575,0.7] precision 0.5 [0.5,0.5] precision 0.625 [0.55,0.7] precision 0.567368 [0.552632,0.583333] precision 0.5 [0.5,0.5] precision 0.598788 [0.564103,0.636364] precision 0.473333 [0.5,0.444444] precision 0.598788 [0.564103,0.636364] precision 0.632 [0.6,0.666667] precision 0.445175 [0.473684,0.416667] precision 0.541818 [0.538462,0.545455] precision 0.554825 [0.526316,0.583333] precision 0.707641 [0.55814,0.857143] precision 0.59052 [0.567568,0.615385] precision 0.629938 [0.567568,0.692308] precision 0.559167 [0.5625,0.555556] precision 0.515294 [0.529412,0.5] precision 0.484848 [0.512821,0.454545] precision 0.539543 [0.540541,0.538462] precision 0.609649 [0.552632,0.666667] precision 0.539543 [0.540541,0.538462] precision 0.591912 [0.558824,0.625] precision 0.554825 [0.526316,0.583333] precision 0.491429 [0.514286,0.466667] precision 0.777778 [0.555556,1] precision 0.488565 [0.513514,0.461538] precision 0.641497 [0.594595,0.692308] precision 0.678857 [0.628571,0.733333] precision 0.545691 [0.536585,0.555556] precision 0.723214 [0.571429,0.875] precision 0.479675 [0.512195,0.444444] precision 0.594697 [0.522727,0.666667] precision 0.637868 [0.588235,0.6875] precision 0.713754 [0.581395,0.857143] precision 0.555556 [0.511111,0.6] precision 0.484848 [0.512821,0.454545] precision 0.777778 [0.555556,1] precision 0.629938 [0.567568,0.692308] precision 0.5625 [0.525,0.6] precision 0.477718 [0.484848,0.470588] precision 0.599206 [0.555556,0.642857] precision 0.533875 [0.512195,0.555556] precision 0.541528 [0.511628,0.571429] precision 0.681913 [0.594595,0.769231] precision 0.474012 [0.486486,0.461538] precision 0.525988 [0.513514,0.538462] precision 0.587413 [0.538462,0.636364] precision 0.5625 [0.525,0.6] precision 0.4375 [0.475,0.4] precision 0.541528 [0.511628,0.571429] precision 0.52381 [0.514286,0.533333] precision 0.611408 [0.575758,0.647059] precision 0.601626 [0.536585,0.666667] precision 0.669377 [0.560976,0.777778] precision 0.75 [0.6,0.9] precision 0.629938 [0.567568,0.692308] precision 0.574405 [0.52381,0.625] precision 0.5 [0.5,0.5] precision 0.445175 [0.473684,0.416667] precision 0.641497 [0.594595,0.692308] precision 0.533875 [0.512195,0.555556] precision 0.539543 [0.540541,0.538462] precision 0.567368 [0.552632,0.583333] precision 0.5 [0.5,0.5] precision 0.397714 [0.457143,0.333333] precision 0.555556 [0.511111,0.6] precision 0.771739 [0.543478,1] precision 0.411348 [0.489362,0.333333] precision 0.555556 [0.511111,0.6] precision 0.605882 [0.588235,0.625] precision 0.601626 [0.536585,0.666667] precision 0.696 [0.6,0.8] precision 0.484848 [0.512821,0.454545] precision 0.47619 [0.485714,0.466667] precision 0.635 [0.575,0.7] precision 0.5625 [0.525,0.6] precision 0.5 [0.5,0.5] precision 0.689394 [0.545455,0.833333] precision 0.689394 [0.545455,0.833333] precision 0.38 [0.5,0.25] precision 0.765957 [0.531915,1] precision 0.495756 [0.516129,0.473684] precision 0.769697 [0.641026,0.909091] precision 0.624585 [0.534884,0.714286] precision 0.513684 [0.526316,0.5] precision 0.574405 [0.52381,0.625] precision 0.599206 [0.555556,0.642857] precision 0.591912 [0.558824,0.625] precision 0.5625 [0.525,0.6] precision 0.574 [0.55,0.6] precision 0.5625 [0.525,0.6] precision 0.635 [0.575,0.7] precision 0.406316 [0.473684,0.333333] precision 0.777778 [0.555556,1] precision 0.621053 [0.578947,0.666667] precision 0.587413 [0.538462,0.636364] predictive_accuracy 0.52 predictive_accuracy 0.58 predictive_accuracy 0.54 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.58 predictive_accuracy 0.56 predictive_accuracy 0.5 predictive_accuracy 0.58 predictive_accuracy 0.48 predictive_accuracy 0.58 predictive_accuracy 0.62 predictive_accuracy 0.46 predictive_accuracy 0.54 predictive_accuracy 0.54 predictive_accuracy 0.6 predictive_accuracy 0.58 predictive_accuracy 0.6 predictive_accuracy 0.56 predictive_accuracy 0.52 predictive_accuracy 0.5 predictive_accuracy 0.54 predictive_accuracy 0.58 predictive_accuracy 0.54 predictive_accuracy 0.58 predictive_accuracy 0.54 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.62 predictive_accuracy 0.66 predictive_accuracy 0.54 predictive_accuracy 0.62 predictive_accuracy 0.5 predictive_accuracy 0.54 predictive_accuracy 0.62 predictive_accuracy 0.62 predictive_accuracy 0.52 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.54 predictive_accuracy 0.48 predictive_accuracy 0.58 predictive_accuracy 0.52 predictive_accuracy 0.52 predictive_accuracy 0.64 predictive_accuracy 0.48 predictive_accuracy 0.52 predictive_accuracy 0.56 predictive_accuracy 0.54 predictive_accuracy 0.46 predictive_accuracy 0.52 predictive_accuracy 0.52 predictive_accuracy 0.6 predictive_accuracy 0.56 predictive_accuracy 0.6 predictive_accuracy 0.66 predictive_accuracy 0.6 predictive_accuracy 0.54 predictive_accuracy 0.5 predictive_accuracy 0.46 predictive_accuracy 0.62 predictive_accuracy 0.52 predictive_accuracy 0.54 predictive_accuracy 0.56 predictive_accuracy 0.5 predictive_accuracy 0.42 predictive_accuracy 0.52 predictive_accuracy 0.58 predictive_accuracy 0.48 predictive_accuracy 0.52 predictive_accuracy 0.6 predictive_accuracy 0.56 predictive_accuracy 0.64 predictive_accuracy 0.5 predictive_accuracy 0.48 predictive_accuracy 0.6 predictive_accuracy 0.54 predictive_accuracy 0.5 predictive_accuracy 0.58 predictive_accuracy 0.58 predictive_accuracy 0.48 predictive_accuracy 0.56 predictive_accuracy 0.5 predictive_accuracy 0.7 predictive_accuracy 0.56 predictive_accuracy 0.52 predictive_accuracy 0.54 predictive_accuracy 0.58 predictive_accuracy 0.58 predictive_accuracy 0.54 predictive_accuracy 0.56 predictive_accuracy 0.54 predictive_accuracy 0.6 predictive_accuracy 0.44 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.56 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 recall 0.52 [0.769231,0.25] recall 0.58 [0.769231,0.375] recall 0.54 [0.846154,0.208333] recall 0.6 [0.92,0.28] recall 0.6 [0.884615,0.291667] recall 0.5 [0.92,0.08] recall 0.58 [0.88,0.28] recall 0.56 [0.807692,0.291667] recall 0.5 [0.76,0.24] recall 0.58 [0.846154,0.291667] recall 0.48 [0.615385,0.333333] recall 0.58 [0.846154,0.291667] recall 0.62 [0.807692,0.416667] recall 0.46 [0.72,0.2] recall 0.54 [0.807692,0.25] recall 0.54 [0.8,0.28] recall 0.6 [0.96,0.24] recall 0.58 [0.807692,0.333333] recall 0.6 [0.84,0.36] recall 0.56 [0.692308,0.416667] recall 0.52 [0.692308,0.333333] recall 0.5 [0.769231,0.208333] recall 0.54 [0.769231,0.291667] recall 0.58 [0.84,0.32] recall 0.54 [0.769231,0.291667] recall 0.58 [0.76,0.4] recall 0.54 [0.8,0.28] recall 0.5 [0.692308,0.291667] recall 0.6 [1,0.2] recall 0.5 [0.730769,0.25] recall 0.62 [0.846154,0.375] recall 0.66 [0.846154,0.458333] recall 0.54 [0.846154,0.208333] recall 0.62 [0.96,0.28] recall 0.5 [0.807692,0.166667] recall 0.54 [0.92,0.16] recall 0.62 [0.8,0.44] recall 0.62 [0.961538,0.25] recall 0.52 [0.92,0.12] recall 0.5 [0.769231,0.208333] recall 0.6 [1,0.2] recall 0.6 [0.84,0.36] recall 0.54 [0.84,0.24] recall 0.48 [0.64,0.32] recall 0.58 [0.8,0.36] recall 0.52 [0.84,0.2] recall 0.52 [0.88,0.16] recall 0.64 [0.88,0.4] recall 0.48 [0.72,0.24] recall 0.52 [0.76,0.28] recall 0.56 [0.84,0.28] recall 0.54 [0.84,0.24] recall 0.46 [0.76,0.16] recall 0.52 [0.88,0.16] recall 0.52 [0.72,0.32] recall 0.6 [0.76,0.44] recall 0.56 [0.88,0.24] recall 0.6 [0.92,0.28] recall 0.66 [0.96,0.36] recall 0.6 [0.84,0.36] recall 0.54 [0.88,0.2] recall 0.5 [0.72,0.28] recall 0.46 [0.72,0.2] recall 0.62 [0.846154,0.375] recall 0.52 [0.84,0.2] recall 0.54 [0.769231,0.291667] recall 0.56 [0.807692,0.291667] recall 0.5 [0.84,0.16] recall 0.42 [0.615385,0.208333] recall 0.52 [0.92,0.12] recall 0.58 [1,0.16] recall 0.48 [0.92,0.04] recall 0.52 [0.92,0.12] recall 0.6 [0.769231,0.416667] recall 0.56 [0.88,0.24] recall 0.64 [0.923077,0.333333] recall 0.5 [0.769231,0.208333] recall 0.48 [0.68,0.28] recall 0.6 [0.884615,0.291667] recall 0.54 [0.84,0.24] recall 0.5 [0.8,0.2] recall 0.58 [0.96,0.2] recall 0.58 [0.96,0.2] recall 0.48 [0.884615,0.041667] recall 0.56 [1,0.12] recall 0.5 [0.615385,0.375] recall 0.7 [0.961538,0.416667] recall 0.56 [0.92,0.2] recall 0.52 [0.769231,0.25] recall 0.54 [0.88,0.2] recall 0.58 [0.8,0.36] recall 0.58 [0.76,0.4] recall 0.54 [0.84,0.24] recall 0.56 [0.846154,0.25] recall 0.54 [0.84,0.24] recall 0.6 [0.884615,0.291667] recall 0.44 [0.692308,0.166667] recall 0.6 [1,0.2] recall 0.6 [0.846154,0.333333] recall 0.56 [0.84,0.28] relative_absolute_error 0.995728 relative_absolute_error 0.996826 relative_absolute_error 0.995989 relative_absolute_error 0.995643 relative_absolute_error 0.997454 relative_absolute_error 0.998992 relative_absolute_error 0.99205 relative_absolute_error 1.002084 relative_absolute_error 1.0032 relative_absolute_error 0.995326 relative_absolute_error 1.011033 relative_absolute_error 0.998013 relative_absolute_error 0.992867 relative_absolute_error 1.001521 relative_absolute_error 0.998919 relative_absolute_error 0.999419 relative_absolute_error 0.995025 relative_absolute_error 0.995057 relative_absolute_error 0.991648 relative_absolute_error 0.995291 relative_absolute_error 0.999366 relative_absolute_error 0.99716 relative_absolute_error 0.994495 relative_absolute_error 0.992324 relative_absolute_error 0.999523 relative_absolute_error 0.999091 relative_absolute_error 0.999568 relative_absolute_error 1.003236 relative_absolute_error 0.994338 relative_absolute_error 1.001967 relative_absolute_error 0.99468 relative_absolute_error 0.993842 relative_absolute_error 0.99506 relative_absolute_error 0.993195 relative_absolute_error 0.997442 relative_absolute_error 0.997632 relative_absolute_error 0.993544 relative_absolute_error 0.99594 relative_absolute_error 1.000624 relative_absolute_error 1.000587 relative_absolute_error 0.99609 relative_absolute_error 0.999809 relative_absolute_error 0.996272 relative_absolute_error 1.004721 relative_absolute_error 0.996303 relative_absolute_error 0.994746 relative_absolute_error 0.99572 relative_absolute_error 0.992665 relative_absolute_error 0.998233 relative_absolute_error 0.994704 relative_absolute_error 0.991616 relative_absolute_error 0.997146 relative_absolute_error 1.002576 relative_absolute_error 0.99678 relative_absolute_error 1.000348 relative_absolute_error 0.994069 relative_absolute_error 0.994195 relative_absolute_error 0.9924 relative_absolute_error 0.992534 relative_absolute_error 0.993655 relative_absolute_error 0.997655 relative_absolute_error 0.999984 relative_absolute_error 1.005932 relative_absolute_error 0.994811 relative_absolute_error 0.995892 relative_absolute_error 0.994413 relative_absolute_error 0.997268 relative_absolute_error 0.997535 relative_absolute_error 1.00996 relative_absolute_error 1.000254 relative_absolute_error 0.99437 relative_absolute_error 0.999913 relative_absolute_error 0.996949 relative_absolute_error 0.997076 relative_absolute_error 0.998305 relative_absolute_error 0.992093 relative_absolute_error 0.996307 relative_absolute_error 1.004836 relative_absolute_error 0.993004 relative_absolute_error 0.994208 relative_absolute_error 0.997536 relative_absolute_error 0.995209 relative_absolute_error 0.997681 relative_absolute_error 1.002558 relative_absolute_error 0.99558 relative_absolute_error 0.994874 relative_absolute_error 0.995421 relative_absolute_error 0.99379 relative_absolute_error 1.004129 relative_absolute_error 0.998669 relative_absolute_error 0.99382 relative_absolute_error 0.993693 relative_absolute_error 0.997926 relative_absolute_error 1.002004 relative_absolute_error 0.997871 relative_absolute_error 1.000112 relative_absolute_error 1.033787 relative_absolute_error 0.995986 relative_absolute_error 0.993286 relative_absolute_error 0.992707 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_squared_error 0.498093 root_mean_squared_error 0.498444 root_mean_squared_error 0.497925 root_mean_squared_error 0.497999 root_mean_squared_error 0.49876 root_mean_squared_error 0.499813 root_mean_squared_error 0.496334 root_mean_squared_error 0.501247 root_mean_squared_error 0.502417 root_mean_squared_error 0.497526 root_mean_squared_error 0.50593 root_mean_squared_error 0.499175 root_mean_squared_error 0.496423 root_mean_squared_error 0.501398 root_mean_squared_error 0.499565 root_mean_squared_error 0.499891 root_mean_squared_error 0.497699 root_mean_squared_error 0.4975 root_mean_squared_error 0.496088 root_mean_squared_error 0.497614 root_mean_squared_error 0.500295 root_mean_squared_error 0.49873 root_mean_squared_error 0.497444 root_mean_squared_error 0.496554 root_mean_squared_error 0.49975 root_mean_squared_error 0.500418 root_mean_squared_error 0.500041 root_mean_squared_error 0.502181 root_mean_squared_error 0.497296 root_mean_squared_error 0.501506 root_mean_squared_error 0.497242 root_mean_squared_error 0.496796 root_mean_squared_error 0.497585 root_mean_squared_error 0.496766 root_mean_squared_error 0.498788 root_mean_squared_error 0.499351 root_mean_squared_error 0.496978 root_mean_squared_error 0.497782 root_mean_squared_error 0.50067 root_mean_squared_error 0.500633 root_mean_squared_error 0.498164 root_mean_squared_error 0.501057 root_mean_squared_error 0.498351 root_mean_squared_error 0.503529 root_mean_squared_error 0.498541 root_mean_squared_error 0.497883 root_mean_squared_error 0.498314 root_mean_squared_error 0.496637 root_mean_squared_error 0.499365 root_mean_squared_error 0.497693 root_mean_squared_error 0.496114 root_mean_squared_error 0.499004 root_mean_squared_error 0.502098 root_mean_squared_error 0.498669 root_mean_squared_error 0.500503 root_mean_squared_error 0.497225 root_mean_squared_error 0.497335 root_mean_squared_error 0.496457 root_mean_squared_error 0.49645 root_mean_squared_error 0.497216 root_mean_squared_error 0.499467 root_mean_squared_error 0.500523 root_mean_squared_error 0.503486 root_mean_squared_error 0.497185 root_mean_squared_error 0.498384 root_mean_squared_error 0.497312 root_mean_squared_error 0.498629 root_mean_squared_error 0.499135 root_mean_squared_error 0.506449 root_mean_squared_error 0.500533 root_mean_squared_error 0.497317 root_mean_squared_error 0.500348 root_mean_squared_error 0.498653 root_mean_squared_error 0.498481 root_mean_squared_error 0.499511 root_mean_squared_error 0.495891 root_mean_squared_error 0.498089 root_mean_squared_error 0.503175 root_mean_squared_error 0.496467 root_mean_squared_error 0.497524 root_mean_squared_error 0.499138 root_mean_squared_error 0.497787 root_mean_squared_error 0.498955 root_mean_squared_error 0.50151 root_mean_squared_error 0.498022 root_mean_squared_error 0.497752 root_mean_squared_error 0.497471 root_mean_squared_error 0.49711 root_mean_squared_error 0.502868 root_mean_squared_error 0.50025 root_mean_squared_error 0.497136 root_mean_squared_error 0.497144 root_mean_squared_error 0.499228 root_mean_squared_error 0.501201 root_mean_squared_error 0.4991 root_mean_squared_error 0.500004 root_mean_squared_error 0.519428 root_mean_squared_error 0.498121 root_mean_squared_error 0.496631 root_mean_squared_error 0.496551 root_relative_squared_error 0.996694 root_relative_squared_error 0.997398 root_relative_squared_error 0.996359 root_relative_squared_error 0.995872 root_relative_squared_error 0.99803 root_relative_squared_error 0.999498 root_relative_squared_error 0.992541 root_relative_squared_error 1.003007 root_relative_squared_error 1.004706 root_relative_squared_error 0.99556 root_relative_squared_error 1.012377 root_relative_squared_error 0.99886 root_relative_squared_error 0.993353 root_relative_squared_error 1.002668 root_relative_squared_error 0.99964 root_relative_squared_error 0.999655 root_relative_squared_error 0.995272 root_relative_squared_error 0.995509 root_relative_squared_error 0.992051 root_relative_squared_error 0.995737 root_relative_squared_error 1.001102 root_relative_squared_error 0.99797 root_relative_squared_error 0.995396 root_relative_squared_error 0.992983 root_relative_squared_error 1.000011 root_relative_squared_error 1.00071 root_relative_squared_error 0.999956 root_relative_squared_error 1.004876 root_relative_squared_error 0.994466 root_relative_squared_error 1.003524 root_relative_squared_error 0.994991 root_relative_squared_error 0.994099 root_relative_squared_error 0.995677 root_relative_squared_error 0.993407 root_relative_squared_error 0.998086 root_relative_squared_error 0.998575 root_relative_squared_error 0.99383 root_relative_squared_error 0.996072 root_relative_squared_error 1.001212 root_relative_squared_error 1.001777 root_relative_squared_error 0.996201 root_relative_squared_error 1.001986 root_relative_squared_error 0.996576 root_relative_squared_error 1.00693 root_relative_squared_error 0.996956 root_relative_squared_error 0.995639 root_relative_squared_error 0.996501 root_relative_squared_error 0.993147 root_relative_squared_error 0.998604 root_relative_squared_error 0.995259 root_relative_squared_error 0.992103 root_relative_squared_error 0.997881 root_relative_squared_error 1.004069 root_relative_squared_error 0.997211 root_relative_squared_error 1.00088 root_relative_squared_error 0.994324 root_relative_squared_error 0.994544 root_relative_squared_error 0.992788 root_relative_squared_error 0.992773 root_relative_squared_error 0.994306 root_relative_squared_error 0.998807 root_relative_squared_error 1.000919 root_relative_squared_error 1.006845 root_relative_squared_error 0.994878 root_relative_squared_error 0.996641 root_relative_squared_error 0.995131 root_relative_squared_error 0.997768 root_relative_squared_error 0.998144 root_relative_squared_error 1.013415 root_relative_squared_error 1.000939 root_relative_squared_error 0.994508 root_relative_squared_error 1.000569 root_relative_squared_error 0.99718 root_relative_squared_error 0.99747 root_relative_squared_error 0.998894 root_relative_squared_error 0.992289 root_relative_squared_error 0.996686 root_relative_squared_error 1.006223 root_relative_squared_error 0.99344 root_relative_squared_error 0.994921 root_relative_squared_error 0.99815 root_relative_squared_error 0.995448 root_relative_squared_error 0.997784 root_relative_squared_error 1.003533 root_relative_squared_error 0.995917 root_relative_squared_error 0.996013 root_relative_squared_error 0.99545 root_relative_squared_error 0.994094 root_relative_squared_error 1.006251 root_relative_squared_error 1.000373 root_relative_squared_error 0.994146 root_relative_squared_error 0.994161 root_relative_squared_error 0.99833 root_relative_squared_error 1.002915 root_relative_squared_error 0.998073 root_relative_squared_error 1.000519 root_relative_squared_error 1.039386 root_relative_squared_error 0.996115 root_relative_squared_error 0.99377 root_relative_squared_error 0.992976 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 1110 usercpu_time_millis 1110 usercpu_time_millis 1040 usercpu_time_millis 1050 usercpu_time_millis 1230 usercpu_time_millis 1230 usercpu_time_millis 1080 usercpu_time_millis 1150 usercpu_time_millis 1170 usercpu_time_millis 1140 usercpu_time_millis 1030 usercpu_time_millis 1200 usercpu_time_millis 1090 usercpu_time_millis 1140 usercpu_time_millis 1190 usercpu_time_millis 1040 usercpu_time_millis 1160 usercpu_time_millis 1190 usercpu_time_millis 1160 usercpu_time_millis 1170 usercpu_time_millis 1180 usercpu_time_millis 1410 usercpu_time_millis 1090 usercpu_time_millis 1160 usercpu_time_millis 1100 usercpu_time_millis 1190 usercpu_time_millis 1080 usercpu_time_millis 1180 usercpu_time_millis 1170 usercpu_time_millis 1170 usercpu_time_millis 1250 usercpu_time_millis 1240 usercpu_time_millis 780 usercpu_time_millis 1100 usercpu_time_millis 1070 usercpu_time_millis 1190 usercpu_time_millis 1120 usercpu_time_millis 1080 usercpu_time_millis 1170 usercpu_time_millis 1150 usercpu_time_millis 1180 usercpu_time_millis 1330 usercpu_time_millis 900 usercpu_time_millis 1150 usercpu_time_millis 1080 usercpu_time_millis 1130 usercpu_time_millis 1120 usercpu_time_millis 1040 usercpu_time_millis 1110 usercpu_time_millis 1070 usercpu_time_millis 1220 usercpu_time_millis 1180 usercpu_time_millis 1170 usercpu_time_millis 1120 usercpu_time_millis 1100 usercpu_time_millis 1110 usercpu_time_millis 1130 usercpu_time_millis 1070 usercpu_time_millis 1060 usercpu_time_millis 1220 usercpu_time_millis 1300 usercpu_time_millis 1220 usercpu_time_millis 1160 usercpu_time_millis 1110 usercpu_time_millis 1130 usercpu_time_millis 1260 usercpu_time_millis 1110 usercpu_time_millis 1060 usercpu_time_millis 1210 usercpu_time_millis 1090 usercpu_time_millis 1190 usercpu_time_millis 1040 usercpu_time_millis 1140 usercpu_time_millis 1180 usercpu_time_millis 1200 usercpu_time_millis 1140 usercpu_time_millis 1120 usercpu_time_millis 1220 usercpu_time_millis 1140 usercpu_time_millis 1160 usercpu_time_millis 1160 usercpu_time_millis 1090 usercpu_time_millis 1160 usercpu_time_millis 1160 usercpu_time_millis 1110 usercpu_time_millis 1240 usercpu_time_millis 1030 usercpu_time_millis 1110 usercpu_time_millis 1160 usercpu_time_millis 1180 usercpu_time_millis 1120 usercpu_time_millis 1170 usercpu_time_millis 1110 usercpu_time_millis 1080 usercpu_time_millis 1130 usercpu_time_millis 1110 usercpu_time_millis 1240 usercpu_time_millis 1050 usercpu_time_millis 1190 usercpu_time_millis 1090 usercpu_time_millis_testing 160 usercpu_time_millis_testing 150 usercpu_time_millis_testing 100 usercpu_time_millis_testing 160 usercpu_time_millis_testing 200 usercpu_time_millis_testing 140 usercpu_time_millis_testing 170 usercpu_time_millis_testing 190 usercpu_time_millis_testing 140 usercpu_time_millis_testing 190 usercpu_time_millis_testing 160 usercpu_time_millis_testing 180 usercpu_time_millis_testing 140 usercpu_time_millis_testing 150 usercpu_time_millis_testing 160 usercpu_time_millis_testing 130 usercpu_time_millis_testing 150 usercpu_time_millis_testing 170 usercpu_time_millis_testing 150 usercpu_time_millis_testing 170 usercpu_time_millis_testing 150 usercpu_time_millis_testing 250 usercpu_time_millis_testing 140 usercpu_time_millis_testing 160 usercpu_time_millis_testing 140 usercpu_time_millis_testing 180 usercpu_time_millis_testing 130 usercpu_time_millis_testing 150 usercpu_time_millis_testing 170 usercpu_time_millis_testing 100 usercpu_time_millis_testing 170 usercpu_time_millis_testing 150 usercpu_time_millis_testing 120 usercpu_time_millis_testing 160 usercpu_time_millis_testing 130 usercpu_time_millis_testing 160 usercpu_time_millis_testing 140 usercpu_time_millis_testing 120 usercpu_time_millis_testing 140 usercpu_time_millis_testing 160 usercpu_time_millis_testing 200 usercpu_time_millis_testing 180 usercpu_time_millis_testing 150 usercpu_time_millis_testing 160 usercpu_time_millis_testing 140 usercpu_time_millis_testing 160 usercpu_time_millis_testing 150 usercpu_time_millis_testing 140 usercpu_time_millis_testing 140 usercpu_time_millis_testing 140 usercpu_time_millis_testing 170 usercpu_time_millis_testing 180 usercpu_time_millis_testing 170 usercpu_time_millis_testing 150 usercpu_time_millis_testing 150 usercpu_time_millis_testing 150 usercpu_time_millis_testing 120 usercpu_time_millis_testing 150 usercpu_time_millis_testing 150 usercpu_time_millis_testing 160 usercpu_time_millis_testing 170 usercpu_time_millis_testing 200 usercpu_time_millis_testing 160 usercpu_time_millis_testing 170 usercpu_time_millis_testing 170 usercpu_time_millis_testing 170 usercpu_time_millis_testing 140 usercpu_time_millis_testing 140 usercpu_time_millis_testing 160 usercpu_time_millis_testing 140 usercpu_time_millis_testing 180 usercpu_time_millis_testing 130 usercpu_time_millis_testing 170 usercpu_time_millis_testing 180 usercpu_time_millis_testing 160 usercpu_time_millis_testing 170 usercpu_time_millis_testing 160 usercpu_time_millis_testing 160 usercpu_time_millis_testing 220 usercpu_time_millis_testing 170 usercpu_time_millis_testing 140 usercpu_time_millis_testing 160 usercpu_time_millis_testing 140 usercpu_time_millis_testing 190 usercpu_time_millis_testing 170 usercpu_time_millis_testing 170 usercpu_time_millis_testing 160 usercpu_time_millis_testing 190 usercpu_time_millis_testing 150 usercpu_time_millis_testing 160 usercpu_time_millis_testing 130 usercpu_time_millis_testing 200 usercpu_time_millis_testing 150 usercpu_time_millis_testing 150 usercpu_time_millis_testing 190 usercpu_time_millis_testing 150 usercpu_time_millis_testing 150 usercpu_time_millis_testing 170 usercpu_time_millis_testing 170 usercpu_time_millis_testing 150 usercpu_time_millis_training 950 usercpu_time_millis_training 960 usercpu_time_millis_training 940 usercpu_time_millis_training 890 usercpu_time_millis_training 1030 usercpu_time_millis_training 1090 usercpu_time_millis_training 910 usercpu_time_millis_training 960 usercpu_time_millis_training 1030 usercpu_time_millis_training 950 usercpu_time_millis_training 870 usercpu_time_millis_training 1020 usercpu_time_millis_training 950 usercpu_time_millis_training 990 usercpu_time_millis_training 1030 usercpu_time_millis_training 910 usercpu_time_millis_training 1010 usercpu_time_millis_training 1020 usercpu_time_millis_training 1010 usercpu_time_millis_training 1000 usercpu_time_millis_training 1030 usercpu_time_millis_training 1160 usercpu_time_millis_training 950 usercpu_time_millis_training 1000 usercpu_time_millis_training 960 usercpu_time_millis_training 1010 usercpu_time_millis_training 950 usercpu_time_millis_training 1030 usercpu_time_millis_training 1000 usercpu_time_millis_training 1070 usercpu_time_millis_training 1080 usercpu_time_millis_training 1090 usercpu_time_millis_training 660 usercpu_time_millis_training 940 usercpu_time_millis_training 940 usercpu_time_millis_training 1030 usercpu_time_millis_training 980 usercpu_time_millis_training 960 usercpu_time_millis_training 1030 usercpu_time_millis_training 990 usercpu_time_millis_training 980 usercpu_time_millis_training 1150 usercpu_time_millis_training 750 usercpu_time_millis_training 990 usercpu_time_millis_training 940 usercpu_time_millis_training 970 usercpu_time_millis_training 970 usercpu_time_millis_training 900 usercpu_time_millis_training 970 usercpu_time_millis_training 930 usercpu_time_millis_training 1050 usercpu_time_millis_training 1000 usercpu_time_millis_training 1000 usercpu_time_millis_training 970 usercpu_time_millis_training 950 usercpu_time_millis_training 960 usercpu_time_millis_training 1010 usercpu_time_millis_training 920 usercpu_time_millis_training 910 usercpu_time_millis_training 1060 usercpu_time_millis_training 1130 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