379958 2 Joaquin Vanschoren 4340 Supervised Classification predictive_accuracy 1172 weka.LibSVM(2) 1924 weka.classifiers.functions.LibSVM -- -S 0 -K 2 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -model /Users/joa/Downloads/weka-3-7-12 -seed 1 S 0 1172 K 2 1172 D 3 1172 G 0.0 1172 R 0.0 1172 C 1.0 1172 N 0.5 1172 P 0.1 1172 M 40.0 1172 E 0.001 1172 model /Users/joa/Downloads/weka-3-7-12 1172 seed 1 1172 weka weka_3.7.12 769 fri_c1_250_50 https://www.openml.org/data/download/53303/fri_c1_250_50.arff -1 1322642 description https://api.openml.org/data/download/1322642/weka_generated_run935067169889353970.xml -1 1322645 model_readable https://api.openml.org/data/download/1322645/WekaModel_weka.classifiers.functions.LibSVM8399306702619079589.model -1 1322644 model_serialized https://api.openml.org/data/download/1322644/WekaSerialized_weka.classifiers.functions.LibSVM3302818963495872888.model -1 1322643 predictions https://api.openml.org/data/download/1322643/weka_generated_predictions3717135337693869214.arff area_under_roc_curve 0.6391 [0.6391,0.6391] average_cost 0 f_measure 0.64491 [0.580707,0.697866] kappa 0.281825 kb_relative_information_score 720.535444 mean_absolute_error 0.3512 mean_prior_absolute_error 0.495429 number_of_instances 2500 [1130,1370] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic] precision 0.646844 [0.630705,0.660156] predictive_accuracy 0.6488 prior_entropy 0.993447 recall 0.6488 [0.538053,0.740146] relative_absolute_error 0.708881 root_mean_prior_squared_error 0.497691 root_mean_squared_error 0.592621 root_relative_squared_error 1.190742 scimark_benchmark 1325.846813 [815.065770478047, 974.6863985124262, 526.3440412149175, 1069.1027117058654, 3244.0351447999233] total_cost 0 usercpu_time_millis 100 usercpu_time_millis_testing 50 usercpu_time_millis_training 50 area_under_roc_curve 0.711039 [0.711039,0.711039] area_under_roc_curve 0.538961 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[0.665584,0.665584] area_under_roc_curve 0.655844 [0.655844,0.655844] area_under_roc_curve 0.655844 [0.655844,0.655844] area_under_roc_curve 0.737013 [0.737013,0.737013] area_under_roc_curve 0.429487 [0.429487,0.429487] area_under_roc_curve 0.471154 [0.471154,0.471154] area_under_roc_curve 0.493506 [0.493506,0.493506] area_under_roc_curve 0.673077 [0.673077,0.673077] area_under_roc_curve 0.641026 [0.641026,0.641026] area_under_roc_curve 0.558442 [0.558442,0.558442] area_under_roc_curve 0.691558 [0.691558,0.691558] area_under_roc_curve 0.792208 [0.792208,0.792208] area_under_roc_curve 0.503247 [0.503247,0.503247] area_under_roc_curve 0.584416 [0.584416,0.584416] area_under_roc_curve 0.594156 [0.594156,0.594156] area_under_roc_curve 0.548701 [0.548701,0.548701] area_under_roc_curve 0.746753 [0.746753,0.746753] area_under_roc_curve 0.655844 [0.655844,0.655844] area_under_roc_curve 0.665584 [0.665584,0.665584] area_under_roc_curve 0.701299 [0.701299,0.701299] area_under_roc_curve 0.532468 [0.532468,0.532468] area_under_roc_curve 0.649351 [0.649351,0.649351] area_under_roc_curve 0.675325 [0.675325,0.675325] area_under_roc_curve 0.467532 [0.467532,0.467532] area_under_roc_curve 0.711039 [0.711039,0.711039] area_under_roc_curve 0.720779 [0.720779,0.720779] area_under_roc_curve 0.685065 [0.685065,0.685065] area_under_roc_curve 0.584416 [0.584416,0.584416] area_under_roc_curve 0.62987 [0.62987,0.62987] area_under_roc_curve 0.782468 [0.782468,0.782468] area_under_roc_curve 0.603896 [0.603896,0.603896] area_under_roc_curve 0.512987 [0.512987,0.512987] area_under_roc_curve 0.737013 [0.737013,0.737013] area_under_roc_curve 0.587662 [0.587662,0.587662] area_under_roc_curve 0.701299 [0.701299,0.701299] area_under_roc_curve 0.548701 [0.548701,0.548701] area_under_roc_curve 0.782468 [0.782468,0.782468] area_under_roc_curve 0.821429 [0.821429,0.821429] area_under_roc_curve 0.720779 [0.720779,0.720779] area_under_roc_curve 0.675325 [0.675325,0.675325] area_under_roc_curve 0.756494 [0.756494,0.756494] area_under_roc_curve 0.711039 [0.711039,0.711039] area_under_roc_curve 0.574675 [0.574675,0.574675] area_under_roc_curve 0.487013 [0.487013,0.487013] area_under_roc_curve 0.737013 [0.737013,0.737013] area_under_roc_curve 0.665584 [0.665584,0.665584] area_under_roc_curve 0.441558 [0.441558,0.441558] area_under_roc_curve 0.62013 [0.62013,0.62013] area_under_roc_curve 0.412338 [0.412338,0.412338] area_under_roc_curve 0.63141 [0.63141,0.63141] area_under_roc_curve 0.717949 [0.717949,0.717949] area_under_roc_curve 0.721154 [0.721154,0.721154] area_under_roc_curve 0.63141 [0.63141,0.63141] area_under_roc_curve 0.842949 [0.842949,0.842949] area_under_roc_curve 0.538961 [0.538961,0.538961] area_under_roc_curve 0.558442 [0.558442,0.558442] area_under_roc_curve 0.554487 [0.554487,0.554487] area_under_roc_curve 0.477273 [0.477273,0.477273] area_under_roc_curve 0.746753 [0.746753,0.746753] area_under_roc_curve 0.599359 [0.599359,0.599359] area_under_roc_curve 0.554487 [0.554487,0.554487] area_under_roc_curve 0.554487 [0.554487,0.554487] area_under_roc_curve 0.641026 [0.641026,0.641026] area_under_roc_curve 0.586538 [0.586538,0.586538] area_under_roc_curve 0.665584 [0.665584,0.665584] area_under_roc_curve 0.665584 [0.665584,0.665584] area_under_roc_curve 0.516026 [0.516026,0.516026] area_under_roc_curve 0.340909 [0.340909,0.340909] area_under_roc_curve 0.538961 [0.538961,0.538961] area_under_roc_curve 0.75641 [0.75641,0.75641] area_under_roc_curve 0.721154 [0.721154,0.721154] area_under_roc_curve 0.75641 [0.75641,0.75641] area_under_roc_curve 0.836538 [0.836538,0.836538] area_under_roc_curve 0.557692 [0.557692,0.557692] area_under_roc_curve 0.711039 [0.711039,0.711039] area_under_roc_curve 0.61039 [0.61039,0.61039] area_under_roc_curve 0.592949 [0.592949,0.592949] area_under_roc_curve 0.603896 [0.603896,0.603896] area_under_roc_curve 0.63961 [0.63961,0.63961] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.718161 [0.666667,0.758621] f_measure 0.546553 [0.421053,0.645161] f_measure 0.674667 [0.6,0.733333] f_measure 0.6 [0.545455,0.642857] f_measure 0.580556 [0.444444,0.6875] f_measure 0.76 [0.75,0.769231] f_measure 0.638841 [0.608696,0.666667] f_measure 0.641159 [0.608696,0.666667] f_measure 0.789813 [0.736842,0.83871] f_measure 0.632906 [0.571429,0.689655] f_measure 0.648235 [0.5,0.764706] f_measure 0.748333 [0.666667,0.8125] f_measure 0.528627 [0.352941,0.666667] f_measure 0.674667 [0.6,0.733333] f_measure 0.793888 [0.736842,0.83871] f_measure 0.757662 [0.727273,0.785714] f_measure 0.752 [0.7,0.8] f_measure 0.756 [0.7,0.8] f_measure 0.632906 [0.571429,0.689655] f_measure 0.714483 [0.666667,0.758621] f_measure 0.546553 [0.421053,0.645161] f_measure 0.674667 [0.6,0.733333] f_measure 0.664444 [0.555556,0.75] f_measure 0.664444 [0.555556,0.75] f_measure 0.748333 [0.666667,0.8125] f_measure 0.399167 [0.222222,0.5625] f_measure 0.453514 [0.315789,0.580645] f_measure 0.496667 [0.333333,0.625] f_measure 0.669333 [0.6,0.733333] f_measure 0.64 [0.64,0.64] f_measure 0.561417 [0.521739,0.592593] f_measure 0.700036 [0.588235,0.787879] f_measure 0.798686 [0.761905,0.827586] f_measure 0.512 [0.4,0.6] f_measure 0.593333 [0.5,0.666667] f_measure 0.6 [0.545455,0.642857] f_measure 0.55711 [0.47619,0.62069] f_measure 0.756 [0.7,0.8] f_measure 0.664444 [0.555556,0.75] f_measure 0.674667 [0.6,0.733333] f_measure 0.711443 [0.631579,0.774194] f_measure 0.516923 [0.538462,0.5] f_measure 0.64 [0.64,0.64] f_measure 0.68 [0.636364,0.714286] f_measure 0.476585 [0.380952,0.551724] f_measure 0.718161 [0.666667,0.758621] f_measure 0.720902 [0.695652,0.740741] f_measure 0.681026 [0.666667,0.692308] f_measure 0.593333 [0.5,0.666667] f_measure 0.637635 [0.571429,0.689655] f_measure 0.793888 [0.736842,0.83871] f_measure 0.601282 [0.583333,0.615385] f_measure 0.52 [0.454545,0.571429] f_measure 0.748333 [0.666667,0.8125] f_measure 0.53977 [0.62069,0.47619] f_measure 0.711443 [0.631579,0.774194] f_measure 0.55711 [0.47619,0.62069] f_measure 0.793888 [0.736842,0.83871] f_measure 0.796779 [0.814815,0.782609] f_measure 0.720902 [0.695652,0.740741] f_measure 0.68 [0.636364,0.714286] f_measure 0.76 [0.727273,0.785714] f_measure 0.718161 [0.666667,0.758621] f_measure 0.580556 [0.444444,0.6875] f_measure 0.48 [0.48,0.48] f_measure 0.748333 [0.666667,0.8125] f_measure 0.674667 [0.6,0.733333] f_measure 0.441795 [0.416667,0.461538] f_measure 0.628998 [0.526316,0.709677] f_measure 0.412778 [0.222222,0.5625] f_measure 0.621664 [0.526316,0.709677] f_measure 0.719098 [0.695652,0.740741] f_measure 0.72 [0.72,0.72] f_measure 0.621664 [0.526316,0.709677] f_measure 0.839487 [0.846154,0.833333] f_measure 0.546553 [0.421053,0.645161] f_measure 0.561417 [0.521739,0.592593] f_measure 0.55133 [0.47619,0.62069] f_measure 0.481675 [0.434783,0.518519] f_measure 0.756 [0.7,0.8] f_measure 0.6 [0.583333,0.615385] f_measure 0.55133 [0.47619,0.62069] f_measure 0.55133 [0.47619,0.62069] f_measure 0.64 [0.64,0.64] f_measure 0.547059 [0.375,0.705882] f_measure 0.674667 [0.6,0.733333] f_measure 0.674667 [0.6,0.733333] f_measure 0.515325 [0.454545,0.571429] f_measure 0.349333 [0.2,0.466667] f_measure 0.546553 [0.421053,0.645161] f_measure 0.757662 [0.727273,0.785714] f_measure 0.72 [0.72,0.72] f_measure 0.757662 [0.727273,0.785714] f_measure 0.838442 [0.818182,0.857143] f_measure 0.558583 [0.521739,0.592593] f_measure 0.718161 [0.666667,0.758621] f_measure 0.614332 [0.470588,0.727273] f_measure 0.586667 [0.5,0.666667] f_measure 0.601282 [0.583333,0.615385] f_measure 0.641159 [0.608696,0.666667] kappa 0.42623 kappa 0.080268 kappa 0.337748 kappa 0.188312 kappa 0.155405 kappa 0.519231 kappa 0.276527 kappa 0.276527 kappa 0.592834 kappa 0.271845 kappa 0.310345 kappa 0.493243 kappa 0.061433 kappa 0.337748 kappa 0.58194 kappa 0.516129 kappa 0.512987 kappa 0.503311 kappa 0.271845 kappa 0.433657 kappa 0.080268 kappa 0.337748 kappa 0.324324 kappa 0.324324 kappa 0.493243 kappa -0.143791 kappa -0.058632 kappa -0.013514 kappa 0.350649 kappa 0.28115 kappa 0.115756 kappa 0.40273 kappa 0.590164 kappa 0.006623 kappa 0.172185 kappa 0.188312 kappa 0.098361 kappa 0.503311 kappa 0.324324 kappa 0.337748 kappa 0.414716 kappa 0.0625 kappa 0.290221 kappa 0.350649 kappa -0.065574 kappa 0.42623 kappa 0.437299 kappa 0.363057 kappa 0.172185 kappa 0.262295 kappa 0.58194 kappa 0.203822 kappa 0.025974 kappa 0.493243 kappa 0.164134 kappa 0.414716 kappa 0.098361 kappa 0.58194 kappa 0.613003 kappa 0.437299 kappa 0.350649 kappa 0.512987 kappa 0.42623 kappa 0.155405 kappa -0.025237 kappa 0.493243 kappa 0.337748 kappa -0.11465 kappa 0.247492 kappa -0.182432 kappa 0.267101 kappa 0.437299 kappa 0.440895 kappa 0.267101 kappa 0.681529 kappa 0.080268 kappa 0.115756 kappa 0.110032 kappa -0.045016 kappa 0.503311 kappa 0.198718 kappa 0.110032 kappa 0.110032 kappa 0.28115 kappa 0.177632 kappa 0.337748 kappa 0.337748 kappa 0.032258 kappa -0.324503 kappa 0.080268 kappa 0.516129 kappa 0.440895 kappa 0.516129 kappa 0.677419 kappa 0.115756 kappa 0.42623 kappa 0.232082 kappa 0.188312 kappa 0.203822 kappa 0.276527 kb_relative_information_score 10.729153 kb_relative_information_score 2.623457 kb_relative_information_score 8.702729 kb_relative_information_score 4.649881 kb_relative_information_score 4.649881 kb_relative_information_score 13.03303 kb_relative_information_score 6.953758 kb_relative_information_score 6.676305 kb_relative_information_score 15.059454 kb_relative_information_score 6.953758 kb_relative_information_score 8.702729 kb_relative_information_score 12.755578 kb_relative_information_score 2.623457 kb_relative_information_score 8.702729 kb_relative_information_score 14.782002 kb_relative_information_score 13.03303 kb_relative_information_score 13.03303 kb_relative_information_score 12.755578 kb_relative_information_score 6.953758 kb_relative_information_score 11.006606 kb_relative_information_score 2.623457 kb_relative_information_score 8.702729 kb_relative_information_score 8.702729 kb_relative_information_score 8.702729 kb_relative_information_score 12.755578 kb_relative_information_score -3.178362 kb_relative_information_score -1.151938 kb_relative_information_score 0.597033 kb_relative_information_score 8.980182 kb_relative_information_score 6.953758 kb_relative_information_score 2.623457 kb_relative_information_score 10.729153 kb_relative_information_score 14.782002 kb_relative_information_score 0.597033 kb_relative_information_score 4.649881 kb_relative_information_score 4.649881 kb_relative_information_score 2.623457 kb_relative_information_score 12.755578 kb_relative_information_score 8.702729 kb_relative_information_score 8.702729 kb_relative_information_score 10.729153 kb_relative_information_score 0.597033 kb_relative_information_score 6.676305 kb_relative_information_score 8.702729 kb_relative_information_score -1.429391 kb_relative_information_score 10.729153 kb_relative_information_score 10.729153 kb_relative_information_score 8.702729 kb_relative_information_score 4.649881 kb_relative_information_score 6.676305 kb_relative_information_score 14.782002 kb_relative_information_score 4.649881 kb_relative_information_score 0.597033 kb_relative_information_score 12.755578 kb_relative_information_score 2.623457 kb_relative_information_score 10.729153 kb_relative_information_score 2.623457 kb_relative_information_score 14.782002 kb_relative_information_score 14.782002 kb_relative_information_score 10.729153 kb_relative_information_score 8.702729 kb_relative_information_score 12.755578 kb_relative_information_score 10.729153 kb_relative_information_score 4.649881 kb_relative_information_score -1.429391 kb_relative_information_score 12.755578 kb_relative_information_score 8.702729 kb_relative_information_score -3.455815 kb_relative_information_score 6.676305 kb_relative_information_score -3.455815 kb_relative_information_score 6.953758 kb_relative_information_score 11.006606 kb_relative_information_score 11.006606 kb_relative_information_score 6.953758 kb_relative_information_score 17.085878 kb_relative_information_score 2.623457 kb_relative_information_score 2.623457 kb_relative_information_score 2.90091 kb_relative_information_score -1.429391 kb_relative_information_score 12.755578 kb_relative_information_score 4.927334 kb_relative_information_score 2.90091 kb_relative_information_score 2.90091 kb_relative_information_score 6.953758 kb_relative_information_score 4.927334 kb_relative_information_score 8.702729 kb_relative_information_score 8.702729 kb_relative_information_score 0.874486 kb_relative_information_score -7.508663 kb_relative_information_score 2.623457 kb_relative_information_score 13.03303 kb_relative_information_score 11.006606 kb_relative_information_score 13.03303 kb_relative_information_score 17.085878 kb_relative_information_score 2.90091 kb_relative_information_score 10.729153 kb_relative_information_score 6.676305 kb_relative_information_score 4.927334 kb_relative_information_score 4.649881 kb_relative_information_score 6.676305 mean_absolute_error 0.28 mean_absolute_error 0.44 mean_absolute_error 0.32 mean_absolute_error 0.4 mean_absolute_error 0.4 mean_absolute_error 0.24 mean_absolute_error 0.36 mean_absolute_error 0.36 mean_absolute_error 0.2 mean_absolute_error 0.36 mean_absolute_error 0.32 mean_absolute_error 0.24 mean_absolute_error 0.44 mean_absolute_error 0.32 mean_absolute_error 0.2 mean_absolute_error 0.24 mean_absolute_error 0.24 mean_absolute_error 0.24 mean_absolute_error 0.36 mean_absolute_error 0.28 mean_absolute_error 0.44 mean_absolute_error 0.32 mean_absolute_error 0.32 mean_absolute_error 0.32 mean_absolute_error 0.24 mean_absolute_error 0.56 mean_absolute_error 0.52 mean_absolute_error 0.48 mean_absolute_error 0.32 mean_absolute_error 0.36 mean_absolute_error 0.44 mean_absolute_error 0.28 mean_absolute_error 0.2 mean_absolute_error 0.48 mean_absolute_error 0.4 mean_absolute_error 0.4 mean_absolute_error 0.44 mean_absolute_error 0.24 mean_absolute_error 0.32 mean_absolute_error 0.32 mean_absolute_error 0.28 mean_absolute_error 0.48 mean_absolute_error 0.36 mean_absolute_error 0.32 mean_absolute_error 0.52 mean_absolute_error 0.28 mean_absolute_error 0.28 mean_absolute_error 0.32 mean_absolute_error 0.4 mean_absolute_error 0.36 mean_absolute_error 0.2 mean_absolute_error 0.4 mean_absolute_error 0.48 mean_absolute_error 0.24 mean_absolute_error 0.44 mean_absolute_error 0.28 mean_absolute_error 0.44 mean_absolute_error 0.2 mean_absolute_error 0.2 mean_absolute_error 0.28 mean_absolute_error 0.32 mean_absolute_error 0.24 mean_absolute_error 0.28 mean_absolute_error 0.4 mean_absolute_error 0.52 mean_absolute_error 0.24 mean_absolute_error 0.32 mean_absolute_error 0.56 mean_absolute_error 0.36 mean_absolute_error 0.56 mean_absolute_error 0.36 mean_absolute_error 0.28 mean_absolute_error 0.28 mean_absolute_error 0.36 mean_absolute_error 0.16 mean_absolute_error 0.44 mean_absolute_error 0.44 mean_absolute_error 0.44 mean_absolute_error 0.52 mean_absolute_error 0.24 mean_absolute_error 0.4 mean_absolute_error 0.44 mean_absolute_error 0.44 mean_absolute_error 0.36 mean_absolute_error 0.4 mean_absolute_error 0.32 mean_absolute_error 0.32 mean_absolute_error 0.48 mean_absolute_error 0.64 mean_absolute_error 0.44 mean_absolute_error 0.24 mean_absolute_error 0.28 mean_absolute_error 0.24 mean_absolute_error 0.16 mean_absolute_error 0.44 mean_absolute_error 0.28 mean_absolute_error 0.36 mean_absolute_error 0.4 mean_absolute_error 0.4 mean_absolute_error 0.36 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.498095 mean_prior_absolute_error 0.494286 mean_prior_absolute_error 0.494286 number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] precision 0.718667 [0.7,0.733333] precision 0.549412 [0.5,0.588235] precision 0.678333 [0.666667,0.6875] precision 0.6 [0.545455,0.642857] precision 0.593651 [0.571429,0.611111] precision 0.76 [0.75,0.769231] precision 0.63974 [0.636364,0.642857] precision 0.644359 [0.583333,0.692308] precision 0.855556 [1,0.722222] precision 0.645 [0.666667,0.625] precision 0.716 [0.8,0.65] precision 0.781587 [0.857143,0.722222] precision 0.544211 [0.5,0.578947] precision 0.678333 [0.666667,0.6875] precision 0.813235 [0.875,0.764706] precision 0.765333 [0.8,0.733333] precision 0.787059 [0.875,0.705882] precision 0.762222 [0.777778,0.75] precision 0.645 [0.666667,0.625] precision 0.730833 [0.777778,0.6875] precision 0.549412 [0.5,0.588235] precision 0.678333 [0.666667,0.6875] precision 0.687619 [0.714286,0.666667] precision 0.687619 [0.714286,0.666667] precision 0.781587 [0.857143,0.722222] precision 0.406316 [0.333333,0.473684] precision 0.465714 [0.428571,0.5] precision 0.499683 [0.428571,0.555556] precision 0.696471 [0.75,0.647059] precision 0.642051 [0.615385,0.666667] precision 0.564615 [0.5,0.615385] precision 0.749825 [0.833333,0.684211] precision 0.8 [0.8,0.8] precision 0.510556 [0.444444,0.5625] precision 0.594444 [0.555556,0.625] precision 0.6 [0.545455,0.642857] precision 0.556 [0.5,0.6] precision 0.762222 [0.777778,0.75] precision 0.687619 [0.714286,0.666667] precision 0.678333 [0.666667,0.6875] precision 0.725294 [0.75,0.705882] precision 0.541333 [0.466667,0.6] precision 0.658701 [0.571429,0.727273] precision 0.68 [0.636364,0.714286] precision 0.474667 [0.4,0.533333] precision 0.718667 [0.7,0.733333] precision 0.724103 [0.666667,0.769231] precision 0.690769 [0.615385,0.75] precision 0.594444 [0.555556,0.625] precision 0.637333 [0.6,0.666667] precision 0.813235 [0.875,0.764706] precision 0.610256 [0.538462,0.666667] precision 0.52 [0.454545,0.571429] precision 0.781587 [0.857143,0.722222] precision 0.62 [0.5,0.714286] precision 0.725294 [0.75,0.705882] precision 0.556 [0.5,0.6] precision 0.813235 [0.875,0.764706] precision 0.8625 [0.6875,1] precision 0.724103 [0.666667,0.769231] precision 0.68 [0.636364,0.714286] precision 0.76 [0.727273,0.785714] precision 0.718667 [0.7,0.733333] precision 0.593651 [0.571429,0.611111] precision 0.494026 [0.428571,0.545455] precision 0.781587 [0.857143,0.722222] precision 0.678333 [0.666667,0.6875] precision 0.449231 [0.384615,0.5] precision 0.637353 [0.625,0.647059] precision 0.405714 [0.285714,0.5] precision 0.660635 [0.714286,0.611111] precision 0.720519 [0.727273,0.714286] precision 0.722308 [0.692308,0.75] precision 0.660635 [0.714286,0.611111] precision 0.84987 [0.785714,0.909091] precision 0.549412 [0.5,0.588235] precision 0.564615 [0.5,0.615385] precision 0.559167 [0.555556,0.5625] precision 0.484872 [0.416667,0.538462] precision 0.762222 [0.777778,0.75] precision 0.6 [0.583333,0.615385] precision 0.559167 [0.555556,0.5625] precision 0.559167 [0.555556,0.5625] precision 0.642051 [0.615385,0.666667] precision 0.657143 [0.75,0.571429] precision 0.678333 [0.666667,0.6875] precision 0.678333 [0.666667,0.6875] precision 0.517333 [0.5,0.533333] precision 0.342778 [0.222222,0.4375] precision 0.549412 [0.5,0.588235] precision 0.765333 [0.8,0.733333] precision 0.722308 [0.692308,0.75] precision 0.765333 [0.8,0.733333] precision 0.848 [0.9,0.8] precision 0.558961 [0.545455,0.571429] precision 0.718667 [0.7,0.733333] precision 0.647018 [0.666667,0.631579] precision 0.605882 [0.625,0.588235] precision 0.610256 [0.538462,0.666667] precision 0.644359 [0.583333,0.692308] predictive_accuracy 0.72 predictive_accuracy 0.56 predictive_accuracy 0.68 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.76 predictive_accuracy 0.64 predictive_accuracy 0.64 predictive_accuracy 0.8 predictive_accuracy 0.64 predictive_accuracy 0.68 predictive_accuracy 0.76 predictive_accuracy 0.56 predictive_accuracy 0.68 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.64 predictive_accuracy 0.72 predictive_accuracy 0.56 predictive_accuracy 0.68 predictive_accuracy 0.68 predictive_accuracy 0.68 predictive_accuracy 0.76 predictive_accuracy 0.44 predictive_accuracy 0.48 predictive_accuracy 0.52 predictive_accuracy 0.68 predictive_accuracy 0.64 predictive_accuracy 0.56 predictive_accuracy 0.72 predictive_accuracy 0.8 predictive_accuracy 0.52 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.56 predictive_accuracy 0.76 predictive_accuracy 0.68 predictive_accuracy 0.68 predictive_accuracy 0.72 predictive_accuracy 0.52 predictive_accuracy 0.64 predictive_accuracy 0.68 predictive_accuracy 0.48 predictive_accuracy 0.72 predictive_accuracy 0.72 predictive_accuracy 0.68 predictive_accuracy 0.6 predictive_accuracy 0.64 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.52 predictive_accuracy 0.76 predictive_accuracy 0.56 predictive_accuracy 0.72 predictive_accuracy 0.56 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.72 predictive_accuracy 0.68 predictive_accuracy 0.76 predictive_accuracy 0.72 predictive_accuracy 0.6 predictive_accuracy 0.48 predictive_accuracy 0.76 predictive_accuracy 0.68 predictive_accuracy 0.44 predictive_accuracy 0.64 predictive_accuracy 0.44 predictive_accuracy 0.64 predictive_accuracy 0.72 predictive_accuracy 0.72 predictive_accuracy 0.64 predictive_accuracy 0.84 predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.48 predictive_accuracy 0.76 predictive_accuracy 0.6 predictive_accuracy 0.56 predictive_accuracy 0.56 predictive_accuracy 0.64 predictive_accuracy 0.6 predictive_accuracy 0.68 predictive_accuracy 0.68 predictive_accuracy 0.52 predictive_accuracy 0.36 predictive_accuracy 0.56 predictive_accuracy 0.76 predictive_accuracy 0.72 predictive_accuracy 0.76 predictive_accuracy 0.84 predictive_accuracy 0.56 predictive_accuracy 0.72 predictive_accuracy 0.64 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.64 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 prior_entropy 0.993447 recall 0.72 [0.636364,0.785714] recall 0.56 [0.363636,0.714286] recall 0.68 [0.545455,0.785714] recall 0.6 [0.545455,0.642857] recall 0.6 [0.363636,0.785714] recall 0.76 [0.75,0.769231] recall 0.64 [0.583333,0.692308] recall 0.64 [0.636364,0.642857] recall 0.8 [0.583333,1] recall 0.64 [0.5,0.769231] recall 0.68 [0.363636,0.928571] recall 0.76 [0.545455,0.928571] recall 0.56 [0.272727,0.785714] recall 0.68 [0.545455,0.785714] recall 0.8 [0.636364,0.928571] recall 0.76 [0.666667,0.846154] recall 0.76 [0.583333,0.923077] recall 0.76 [0.636364,0.857143] recall 0.64 [0.5,0.769231] recall 0.72 [0.583333,0.846154] recall 0.56 [0.363636,0.714286] recall 0.68 [0.545455,0.785714] recall 0.68 [0.454545,0.857143] recall 0.68 [0.454545,0.857143] recall 0.76 [0.545455,0.928571] recall 0.44 [0.166667,0.692308] recall 0.48 [0.25,0.692308] recall 0.52 [0.272727,0.714286] recall 0.68 [0.5,0.846154] recall 0.64 [0.666667,0.615385] recall 0.56 [0.545455,0.571429] recall 0.72 [0.454545,0.928571] recall 0.8 [0.727273,0.857143] recall 0.52 [0.363636,0.642857] recall 0.6 [0.454545,0.714286] recall 0.6 [0.545455,0.642857] recall 0.56 [0.454545,0.642857] recall 0.76 [0.636364,0.857143] recall 0.68 [0.454545,0.857143] recall 0.68 [0.545455,0.785714] recall 0.72 [0.545455,0.857143] recall 0.52 [0.636364,0.428571] recall 0.64 [0.727273,0.571429] recall 0.68 [0.636364,0.714286] recall 0.48 [0.363636,0.571429] recall 0.72 [0.636364,0.785714] recall 0.72 [0.727273,0.714286] recall 0.68 [0.727273,0.642857] recall 0.6 [0.454545,0.714286] recall 0.64 [0.545455,0.714286] recall 0.8 [0.636364,0.928571] recall 0.6 [0.636364,0.571429] recall 0.52 [0.454545,0.571429] recall 0.76 [0.545455,0.928571] recall 0.56 [0.818182,0.357143] recall 0.72 [0.545455,0.857143] recall 0.56 [0.454545,0.642857] recall 0.8 [0.636364,0.928571] recall 0.8 [1,0.642857] recall 0.72 [0.727273,0.714286] recall 0.68 [0.636364,0.714286] recall 0.76 [0.727273,0.785714] recall 0.72 [0.636364,0.785714] recall 0.6 [0.363636,0.785714] recall 0.48 [0.545455,0.428571] recall 0.76 [0.545455,0.928571] recall 0.68 [0.545455,0.785714] recall 0.44 [0.454545,0.428571] recall 0.64 [0.454545,0.785714] recall 0.44 [0.181818,0.642857] recall 0.64 [0.416667,0.846154] recall 0.72 [0.666667,0.769231] recall 0.72 [0.75,0.692308] recall 0.64 [0.416667,0.846154] recall 0.84 [0.916667,0.769231] recall 0.56 [0.363636,0.714286] recall 0.56 [0.545455,0.571429] recall 0.56 [0.416667,0.692308] recall 0.48 [0.454545,0.5] recall 0.76 [0.636364,0.857143] recall 0.6 [0.583333,0.615385] recall 0.56 [0.416667,0.692308] recall 0.56 [0.416667,0.692308] recall 0.64 [0.666667,0.615385] recall 0.6 [0.25,0.923077] recall 0.68 [0.545455,0.785714] recall 0.68 [0.545455,0.785714] recall 0.52 [0.416667,0.615385] recall 0.36 [0.181818,0.5] recall 0.56 [0.363636,0.714286] recall 0.76 [0.666667,0.846154] recall 0.72 [0.75,0.692308] recall 0.76 [0.666667,0.846154] recall 0.84 [0.75,0.923077] recall 0.56 [0.5,0.615385] recall 0.72 [0.636364,0.785714] recall 0.64 [0.363636,0.857143] recall 0.6 [0.416667,0.769231] recall 0.6 [0.636364,0.571429] recall 0.64 [0.636364,0.642857] relative_absolute_error 0.566474 relative_absolute_error 0.890173 relative_absolute_error 0.647399 relative_absolute_error 0.809249 relative_absolute_error 0.809249 relative_absolute_error 0.481836 relative_absolute_error 0.722753 relative_absolute_error 0.728324 relative_absolute_error 0.40153 relative_absolute_error 0.722753 relative_absolute_error 0.647399 relative_absolute_error 0.485549 relative_absolute_error 0.890173 relative_absolute_error 0.647399 relative_absolute_error 0.404624 relative_absolute_error 0.481836 relative_absolute_error 0.481836 relative_absolute_error 0.485549 relative_absolute_error 0.722753 relative_absolute_error 0.562141 relative_absolute_error 0.890173 relative_absolute_error 0.647399 relative_absolute_error 0.647399 relative_absolute_error 0.647399 relative_absolute_error 0.485549 relative_absolute_error 1.124283 relative_absolute_error 1.043977 relative_absolute_error 0.971098 relative_absolute_error 0.642447 relative_absolute_error 0.722753 relative_absolute_error 0.890173 relative_absolute_error 0.566474 relative_absolute_error 0.404624 relative_absolute_error 0.971098 relative_absolute_error 0.809249 relative_absolute_error 0.809249 relative_absolute_error 0.890173 relative_absolute_error 0.485549 relative_absolute_error 0.647399 relative_absolute_error 0.647399 relative_absolute_error 0.566474 relative_absolute_error 0.971098 relative_absolute_error 0.728324 relative_absolute_error 0.647399 relative_absolute_error 1.052023 relative_absolute_error 0.566474 relative_absolute_error 0.566474 relative_absolute_error 0.647399 relative_absolute_error 0.809249 relative_absolute_error 0.728324 relative_absolute_error 0.404624 relative_absolute_error 0.809249 relative_absolute_error 0.971098 relative_absolute_error 0.485549 relative_absolute_error 0.890173 relative_absolute_error 0.566474 relative_absolute_error 0.890173 relative_absolute_error 0.404624 relative_absolute_error 0.404624 relative_absolute_error 0.566474 relative_absolute_error 0.647399 relative_absolute_error 0.485549 relative_absolute_error 0.566474 relative_absolute_error 0.809249 relative_absolute_error 1.052023 relative_absolute_error 0.485549 relative_absolute_error 0.647399 relative_absolute_error 1.132948 relative_absolute_error 0.728324 relative_absolute_error 1.132948 relative_absolute_error 0.722753 relative_absolute_error 0.562141 relative_absolute_error 0.562141 relative_absolute_error 0.722753 relative_absolute_error 0.321224 relative_absolute_error 0.890173 relative_absolute_error 0.890173 relative_absolute_error 0.883365 relative_absolute_error 1.052023 relative_absolute_error 0.485549 relative_absolute_error 0.803059 relative_absolute_error 0.883365 relative_absolute_error 0.883365 relative_absolute_error 0.722753 relative_absolute_error 0.803059 relative_absolute_error 0.647399 relative_absolute_error 0.647399 relative_absolute_error 0.963671 relative_absolute_error 1.294798 relative_absolute_error 0.890173 relative_absolute_error 0.481836 relative_absolute_error 0.562141 relative_absolute_error 0.481836 relative_absolute_error 0.321224 relative_absolute_error 0.883365 relative_absolute_error 0.566474 relative_absolute_error 0.728324 relative_absolute_error 0.803059 relative_absolute_error 0.809249 relative_absolute_error 0.728324 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.500363 root_mean_prior_squared_error 0.496541 root_mean_prior_squared_error 0.496541 root_mean_squared_error 0.52915 root_mean_squared_error 0.663325 root_mean_squared_error 0.565685 root_mean_squared_error 0.632456 root_mean_squared_error 0.632456 root_mean_squared_error 0.489898 root_mean_squared_error 0.6 root_mean_squared_error 0.6 root_mean_squared_error 0.447214 root_mean_squared_error 0.6 root_mean_squared_error 0.565685 root_mean_squared_error 0.489898 root_mean_squared_error 0.663325 root_mean_squared_error 0.565685 root_mean_squared_error 0.447214 root_mean_squared_error 0.489898 root_mean_squared_error 0.489898 root_mean_squared_error 0.489898 root_mean_squared_error 0.6 root_mean_squared_error 0.52915 root_mean_squared_error 0.663325 root_mean_squared_error 0.565685 root_mean_squared_error 0.565685 root_mean_squared_error 0.565685 root_mean_squared_error 0.489898 root_mean_squared_error 0.748331 root_mean_squared_error 0.72111 root_mean_squared_error 0.69282 root_mean_squared_error 0.565685 root_mean_squared_error 0.6 root_mean_squared_error 0.663325 root_mean_squared_error 0.52915 root_mean_squared_error 0.447214 root_mean_squared_error 0.69282 root_mean_squared_error 0.632456 root_mean_squared_error 0.632456 root_mean_squared_error 0.663325 root_mean_squared_error 0.489898 root_mean_squared_error 0.565685 root_mean_squared_error 0.565685 root_mean_squared_error 0.52915 root_mean_squared_error 0.69282 root_mean_squared_error 0.6 root_mean_squared_error 0.565685 root_mean_squared_error 0.72111 root_mean_squared_error 0.52915 root_mean_squared_error 0.52915 root_mean_squared_error 0.565685 root_mean_squared_error 0.632456 root_mean_squared_error 0.6 root_mean_squared_error 0.447214 root_mean_squared_error 0.632456 root_mean_squared_error 0.69282 root_mean_squared_error 0.489898 root_mean_squared_error 0.663325 root_mean_squared_error 0.52915 root_mean_squared_error 0.663325 root_mean_squared_error 0.447214 root_mean_squared_error 0.447214 root_mean_squared_error 0.52915 root_mean_squared_error 0.565685 root_mean_squared_error 0.489898 root_mean_squared_error 0.52915 root_mean_squared_error 0.632456 root_mean_squared_error 0.72111 root_mean_squared_error 0.489898 root_mean_squared_error 0.565685 root_mean_squared_error 0.748331 root_mean_squared_error 0.6 root_mean_squared_error 0.748331 root_mean_squared_error 0.6 root_mean_squared_error 0.52915 root_mean_squared_error 0.52915 root_mean_squared_error 0.6 root_mean_squared_error 0.4 root_mean_squared_error 0.663325 root_mean_squared_error 0.663325 root_mean_squared_error 0.663325 root_mean_squared_error 0.72111 root_mean_squared_error 0.489898 root_mean_squared_error 0.632456 root_mean_squared_error 0.663325 root_mean_squared_error 0.663325 root_mean_squared_error 0.6 root_mean_squared_error 0.632456 root_mean_squared_error 0.565685 root_mean_squared_error 0.565685 root_mean_squared_error 0.69282 root_mean_squared_error 0.8 root_mean_squared_error 0.663325 root_mean_squared_error 0.489898 root_mean_squared_error 0.52915 root_mean_squared_error 0.489898 root_mean_squared_error 0.4 root_mean_squared_error 0.663325 root_mean_squared_error 0.52915 root_mean_squared_error 0.6 root_mean_squared_error 0.632456 root_mean_squared_error 0.632456 root_mean_squared_error 0.6 root_relative_squared_error 1.065672 root_relative_squared_error 1.335891 root_relative_squared_error 1.139251 root_relative_squared_error 1.273722 root_relative_squared_error 1.273722 root_relative_squared_error 0.979086 root_relative_squared_error 1.19913 root_relative_squared_error 1.208359 root_relative_squared_error 0.893779 root_relative_squared_error 1.19913 root_relative_squared_error 1.139251 root_relative_squared_error 0.986621 root_relative_squared_error 1.335891 root_relative_squared_error 1.139251 root_relative_squared_error 0.900657 root_relative_squared_error 0.979086 root_relative_squared_error 0.979086 root_relative_squared_error 0.986621 root_relative_squared_error 1.19913 root_relative_squared_error 1.057533 root_relative_squared_error 1.335891 root_relative_squared_error 1.139251 root_relative_squared_error 1.139251 root_relative_squared_error 1.139251 root_relative_squared_error 0.986621 root_relative_squared_error 1.495578 root_relative_squared_error 1.441175 root_relative_squared_error 1.395292 root_relative_squared_error 1.130551 root_relative_squared_error 1.19913 root_relative_squared_error 1.335891 root_relative_squared_error 1.065672 root_relative_squared_error 0.900657 root_relative_squared_error 1.395292 root_relative_squared_error 1.273722 root_relative_squared_error 1.273722 root_relative_squared_error 1.335891 root_relative_squared_error 0.986621 root_relative_squared_error 1.139251 root_relative_squared_error 1.139251 root_relative_squared_error 1.065672 root_relative_squared_error 1.395292 root_relative_squared_error 1.208359 root_relative_squared_error 1.139251 root_relative_squared_error 1.452266 root_relative_squared_error 1.065672 root_relative_squared_error 1.065672 root_relative_squared_error 1.139251 root_relative_squared_error 1.273722 root_relative_squared_error 1.208359 root_relative_squared_error 0.900657 root_relative_squared_error 1.273722 root_relative_squared_error 1.395292 root_relative_squared_error 0.986621 root_relative_squared_error 1.335891 root_relative_squared_error 1.065672 root_relative_squared_error 1.335891 root_relative_squared_error 0.900657 root_relative_squared_error 0.900657 root_relative_squared_error 1.065672 root_relative_squared_error 1.139251 root_relative_squared_error 0.986621 root_relative_squared_error 1.065672 root_relative_squared_error 1.273722 root_relative_squared_error 1.452266 root_relative_squared_error 0.986621 root_relative_squared_error 1.139251 root_relative_squared_error 1.507088 root_relative_squared_error 1.208359 root_relative_squared_error 1.507088 root_relative_squared_error 1.19913 root_relative_squared_error 1.057533 root_relative_squared_error 1.057533 root_relative_squared_error 1.19913 root_relative_squared_error 0.79942 root_relative_squared_error 1.335891 root_relative_squared_error 1.335891 root_relative_squared_error 1.325688 root_relative_squared_error 1.452266 root_relative_squared_error 0.986621 root_relative_squared_error 1.263994 root_relative_squared_error 1.325688 root_relative_squared_error 1.325688 root_relative_squared_error 1.19913 root_relative_squared_error 1.263994 root_relative_squared_error 1.139251 root_relative_squared_error 1.139251 root_relative_squared_error 1.384636 root_relative_squared_error 1.611145 root_relative_squared_error 1.335891 root_relative_squared_error 0.979086 root_relative_squared_error 1.057533 root_relative_squared_error 0.979086 root_relative_squared_error 0.79942 root_relative_squared_error 1.325688 root_relative_squared_error 1.065672 root_relative_squared_error 1.208359 root_relative_squared_error 1.263994 root_relative_squared_error 1.273722 root_relative_squared_error 1.208359 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 60 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 60 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 50 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 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 10 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 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 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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