396565 2 Joaquin Vanschoren 1915 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 35 dermatology https://www.openml.org/data/download/35/dataset_35_dermatology.arff -1 1387141 description https://api.openml.org/data/download/1387141/weka_generated_run3251099905759491601.xml -1 1387144 model_readable https://api.openml.org/data/download/1387144/WekaModel_weka.classifiers.functions.LibSVM5433594248825813213.model -1 1387143 model_serialized https://api.openml.org/data/download/1387143/WekaSerialized_weka.classifiers.functions.LibSVM949240765393416035.model -1 1387142 predictions https://api.openml.org/data/download/1387142/weka_generated_predictions7105218522560563616.arff area_under_roc_curve 0.897341 [0.958799,0.883115,0.99375,0.643395,0.869402,0.944306] average_cost 0 f_measure 0.820286 [0.927598,0.712311,0.993711,0.440678,0.841876,0.798246] kappa 0.790429 kb_relative_information_score 2893.619851 mean_absolute_error 0.055373 mean_prior_absolute_error 0.266447 number_of_instances 3660 [1120,610,720,490,520,200] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.864684 [0.886808,0.59516,1,0.899371,0.972292,0.710938] predictive_accuracy 0.83388 prior_entropy 2.437791 recall 0.83388 [0.972321,0.886885,0.9875,0.291837,0.742308,0.91] relative_absolute_error 0.207821 root_mean_prior_squared_error 0.364873 root_mean_squared_error 0.235316 root_relative_squared_error 0.644925 scimark_benchmark 949.776569 [556.0219081615357, 1012.5880246437401, 505.290270117647, 909.2750931850325, 1765.707548606275] total_cost 0 usercpu_time_millis 180 usercpu_time_millis_testing 80 usercpu_time_millis_training 100 area_under_roc_curve 0.881397 [0.961538,0.852151,1,0.484375,0.916667,1] area_under_roc_curve 0.883226 [0.98,0.903226,1,0.5,0.8,1] area_under_roc_curve 0.934225 [0.980769,0.967742,1,0.6,1,0.985714] area_under_roc_curve 0.840369 [0.896667,0.819892,1,0.6,0.7,0.957143] area_under_roc_curve 0.8739 [0.980769,0.784946,0.9375,0.7,0.784375,0.957143] area_under_roc_curve 0.919355 [1,0.919355,1,0.6,0.9,1] area_under_roc_curve 0.937229 [1,0.895238,1,0.609848,1,0.985714] area_under_roc_curve 0.932117 [0.98,0.884409,1,0.784375,0.9,1] area_under_roc_curve 0.877327 [0.898333,0.951613,1,0.7,0.7,0.985714] area_under_roc_curve 0.933456 [0.98,0.884409,1,0.8,0.9,0.985714] area_under_roc_curve 0.932382 [0.980769,0.951613,1,0.7,0.9,1] area_under_roc_curve 0.983871 [1,0.983871,1,0.9,1,1] area_under_roc_curve 0.87469 [0.923077,0.951613,1,0.6,0.75,1] area_under_roc_curve 0.946667 [0.98,0.895238,1,0.75,1,1] 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f_measure 0.699023 [0.846154,0.5,1,0.333333,0.571429,0.666667] f_measure 0.796407 [0.952381,0.625,1,0.333333,0.888889,0.666667] f_measure 0.667328 [0.833333,0.666667,1,0,0.571429,0.5] f_measure 0.780093 [0.916667,0.666667,1,0,1,1] f_measure 0.832143 [1,0.625,1,0.571429,0.75,0.8] f_measure 0.824735 [0.916667,0.666667,1,0.571429,0.75,1] f_measure 0.854779 [0.956522,0.769231,1,0.571429,0.888889,0.666667] f_measure 0.769995 [0.782609,0.833333,1,0.333333,0.888889,0.5] f_measure 0.759722 [0.909091,0.625,1,0,1,0.8] f_measure 0.748717 [0.88,0.625,1,0.333333,0.571429,1] f_measure 0.865741 [1,0.75,1,0.333333,1,1] f_measure 0.842956 [1,0.705882,1,0.333333,0.888889,1] f_measure 0.827124 [0.88,0.833333,0.923077,0.571429,0.888889,0.666667] f_measure 0.842956 [1,0.705882,1,0.333333,0.888889,1] f_measure 0.854779 [0.956522,0.769231,1,0.571429,0.888889,0.666667] f_measure 0.780463 [0.88,0.666667,1,0.75,0.333333,1] f_measure 0.740489 [0.909091,0.588235,0.923077,0.333333,0.8,0.5] f_measure 0.907143 [1,0.8,1,0.571429,1,1] f_measure 0.704182 [0.869565,0.666667,0.923077,0.333333,0.571429,0.4] f_measure 0.915705 [1,0.769231,1,0.75,1,0.8] f_measure 0.837024 [0.956522,0.75,1,0.333333,0.888889,1] f_measure 0.884025 [0.869565,0.923077,1,0.666667,0.909091,0.8] f_measure 0.794444 [0.909091,0.666667,1,0.333333,0.8,0.8] f_measure 0.810952 [0.88,0.8,1,0.571429,0.571429,1] f_measure 0.794216 [0.846154,0.769231,0.923077,0.571429,0.75,0.8] f_measure 0.855503 [0.916667,0.769231,1,0.571429,0.888889,0.8] f_measure 0.788823 [0.916667,0.666667,1,0.571429,0.571429,0.8] f_measure 0.802404 [1,0.588235,1,0.571429,0.5,1] f_measure 0.783973 [0.916667,0.571429,1,0.333333,0.888889,0.8] f_measure 0.855718 [0.909091,0.769231,1,0.571429,1,0.666667] f_measure 0.817823 [1,0.705882,1,0.285714,0.888889,0.666667] kappa 0.76107 kappa 0.758621 kappa 0.864593 kappa 0.662716 kappa 0.730664 kappa 0.830119 kappa 0.86309 kappa 0.862709 kappa 0.758396 kappa 0.86309 kappa 0.863594 kappa 0.965899 kappa 0.758845 kappa 0.896359 kappa 0.830896 kappa 0.764973 kappa 0.862454 kappa 0.794444 kappa 0.652582 kappa 0.694215 kappa 0.830896 kappa 0.898258 kappa 0.796889 kappa 0.863845 kappa 0.794444 kappa 0.796143 kappa 0.728191 kappa 0.89779 kappa 0.796517 kappa 0.763902 kappa 0.758845 kappa 0.82965 kappa 0.863594 kappa 0.794063 kappa 0.762167 kappa 0.795203 kappa 0.760849 kappa 0.793103 kappa 0.830741 kappa 0.931985 kappa 0.760407 kappa 0.730173 kappa 0.728689 kappa 0.794254 kappa 0.79096 kappa 0.825307 kappa 0.618557 kappa 0.831512 kappa 0.864593 kappa 0.76107 kappa 0.758396 kappa 0.658356 kappa 0.730173 kappa 0.798182 kappa 0.731397 kappa 0.862454 kappa 0.726685 kappa 0.763038 kappa 0.863845 kappa 0.760628 kappa 0.71737 kappa 0.824732 kappa 0.75534 kappa 0.789679 kappa 0.790291 kappa 0.859786 kappa 0.824047 kappa 0.857988 kappa 0.789474 kappa 0.641791 kappa 0.758621 kappa 0.646365 kappa 0.788443 kappa 0.791304 kappa 0.788443 kappa 0.826087 kappa 0.723608 kappa 0.756522 kappa 0.715976 kappa 0.860465 kappa 0.825412 kappa 0.789474 kappa 0.825412 kappa 0.826087 kappa 0.751724 kappa 0.68635 kappa 0.89545 kappa 0.650146 kappa 0.895954 kappa 0.824561 kappa 0.860058 kappa 0.755577 kappa 0.787192 kappa 0.751969 kappa 0.824219 kappa 0.753906 kappa 0.755577 kappa 0.754146 kappa 0.827089 kappa 0.789883 kb_relative_information_score 28.346489 kb_relative_information_score 27.822553 kb_relative_information_score 32.032009 kb_relative_information_score 24.844407 kb_relative_information_score 27.19779 kb_relative_information_score 30.598379 kb_relative_information_score 31.56148 kb_relative_information_score 31.717728 kb_relative_information_score 28.205184 kb_relative_information_score 31.717728 kb_relative_information_score 31.871476 kb_relative_information_score 35.403247 kb_relative_information_score 28.29955 kb_relative_information_score 32.834577 kb_relative_information_score 30.923122 kb_relative_information_score 28.788503 kb_relative_information_score 31.6129 kb_relative_information_score 29.247417 kb_relative_information_score 24.497848 kb_relative_information_score 25.99086 kb_relative_information_score 30.923122 kb_relative_information_score 33.115629 kb_relative_information_score 29.062864 kb_relative_information_score 31.380176 kb_relative_information_score 29.052402 kb_relative_information_score 29.619586 kb_relative_information_score 27.607182 kb_relative_information_score 33.115629 kb_relative_information_score 29.406089 kb_relative_information_score 28.539644 kb_relative_information_score 28.032208 kb_relative_information_score 30.136023 kb_relative_information_score 31.28027 kb_relative_information_score 29.325282 kb_relative_information_score 28.346489 kb_relative_information_score 29.128286 kb_relative_information_score 28.270606 kb_relative_information_score 29.383171 kb_relative_information_score 30.758912 kb_relative_information_score 34.354243 kb_relative_information_score 27.540908 kb_relative_information_score 27.456023 kb_relative_information_score 27.017687 kb_relative_information_score 29.543703 kb_relative_information_score 29.124595 kb_relative_information_score 30.241444 kb_relative_information_score 22.869812 kb_relative_information_score 31.112598 kb_relative_information_score 31.968133 kb_relative_information_score 28.653237 kb_relative_information_score 28.282613 kb_relative_information_score 24.614031 kb_relative_information_score 27.236558 kb_relative_information_score 29.406089 kb_relative_information_score 26.841412 kb_relative_information_score 31.583956 kb_relative_information_score 26.941804 kb_relative_information_score 28.29955 kb_relative_information_score 31.976304 kb_relative_information_score 28.282613 kb_relative_information_score 25.486789 kb_relative_information_score 29.815376 kb_relative_information_score 27.546985 kb_relative_information_score 28.466395 kb_relative_information_score 28.390512 kb_relative_information_score 30.907762 kb_relative_information_score 29.172309 kb_relative_information_score 30.809403 kb_relative_information_score 28.520239 kb_relative_information_score 23.074367 kb_relative_information_score 27.546985 kb_relative_information_score 23.218398 kb_relative_information_score 28.437451 kb_relative_information_score 28.49534 kb_relative_information_score 28.49534 kb_relative_information_score 29.739493 kb_relative_information_score 26.627575 kb_relative_information_score 27.518041 kb_relative_information_score 25.97809 kb_relative_information_score 30.878818 kb_relative_information_score 29.634665 kb_relative_information_score 28.646498 kb_relative_information_score 29.634665 kb_relative_information_score 29.739493 kb_relative_information_score 27.280131 kb_relative_information_score 24.718537 kb_relative_information_score 32.151915 kb_relative_information_score 23.398501 kb_relative_information_score 32.256742 kb_relative_information_score 29.634665 kb_relative_information_score 31.226965 kb_relative_information_score 27.524509 kb_relative_information_score 28.419456 kb_relative_information_score 27.402345 kb_relative_information_score 29.717016 kb_relative_information_score 27.251187 kb_relative_information_score 27.251187 kb_relative_information_score 27.298126 kb_relative_information_score 30.064235 kb_relative_information_score 27.899211 mean_absolute_error 0.063063 mean_absolute_error 0.063063 mean_absolute_error 0.036036 mean_absolute_error 0.09009 mean_absolute_error 0.072072 mean_absolute_error 0.045045 mean_absolute_error 0.036036 mean_absolute_error 0.036036 mean_absolute_error 0.063063 mean_absolute_error 0.036036 mean_absolute_error 0.036036 mean_absolute_error 0.009009 mean_absolute_error 0.063063 mean_absolute_error 0.027027 mean_absolute_error 0.045045 mean_absolute_error 0.063063 mean_absolute_error 0.036036 mean_absolute_error 0.054054 mean_absolute_error 0.09009 mean_absolute_error 0.081081 mean_absolute_error 0.045045 mean_absolute_error 0.027027 mean_absolute_error 0.054054 mean_absolute_error 0.036036 mean_absolute_error 0.054054 mean_absolute_error 0.054054 mean_absolute_error 0.072072 mean_absolute_error 0.027027 mean_absolute_error 0.054054 mean_absolute_error 0.063063 mean_absolute_error 0.063063 mean_absolute_error 0.045045 mean_absolute_error 0.036036 mean_absolute_error 0.054054 mean_absolute_error 0.063063 mean_absolute_error 0.054054 mean_absolute_error 0.063063 mean_absolute_error 0.054054 mean_absolute_error 0.045045 mean_absolute_error 0.018018 mean_absolute_error 0.063063 mean_absolute_error 0.072072 mean_absolute_error 0.072072 mean_absolute_error 0.054054 mean_absolute_error 0.054054 mean_absolute_error 0.045045 mean_absolute_error 0.099099 mean_absolute_error 0.045045 mean_absolute_error 0.036036 mean_absolute_error 0.063063 mean_absolute_error 0.063063 mean_absolute_error 0.09009 mean_absolute_error 0.072072 mean_absolute_error 0.054054 mean_absolute_error 0.072072 mean_absolute_error 0.036036 mean_absolute_error 0.072072 mean_absolute_error 0.063063 mean_absolute_error 0.036036 mean_absolute_error 0.063063 mean_absolute_error 0.074074 mean_absolute_error 0.046296 mean_absolute_error 0.064815 mean_absolute_error 0.055556 mean_absolute_error 0.055556 mean_absolute_error 0.037037 mean_absolute_error 0.046296 mean_absolute_error 0.037037 mean_absolute_error 0.055556 mean_absolute_error 0.092593 mean_absolute_error 0.064815 mean_absolute_error 0.092593 mean_absolute_error 0.055556 mean_absolute_error 0.055556 mean_absolute_error 0.055556 mean_absolute_error 0.046296 mean_absolute_error 0.074074 mean_absolute_error 0.064815 mean_absolute_error 0.074074 mean_absolute_error 0.037037 mean_absolute_error 0.046296 mean_absolute_error 0.055556 mean_absolute_error 0.046296 mean_absolute_error 0.046296 mean_absolute_error 0.064815 mean_absolute_error 0.083333 mean_absolute_error 0.027778 mean_absolute_error 0.092593 mean_absolute_error 0.027778 mean_absolute_error 0.046296 mean_absolute_error 0.037037 mean_absolute_error 0.064815 mean_absolute_error 0.055556 mean_absolute_error 0.064815 mean_absolute_error 0.046296 mean_absolute_error 0.064815 mean_absolute_error 0.064815 mean_absolute_error 0.064815 mean_absolute_error 0.046296 mean_absolute_error 0.055556 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.26533 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.26533 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.265063 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.266517 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.26533 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.266856 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.266856 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.266856 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.26562 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.267074 mean_prior_absolute_error 0.266589 mean_prior_absolute_error 0.266856 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266253 mean_prior_absolute_error 0.26598 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266477 mean_prior_absolute_error 0.266253 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266253 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 mean_prior_absolute_error 0.266552 number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [12,7,7,4,5,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [12,7,7,4,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [12,6,8,4,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,6,8,4,6,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [12,7,7,4,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,7,7,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,7,7,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,7,7,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [12,6,7,5,5,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,6,7,5,6,2] number_of_instances 37 [11,6,8,5,5,2] number_of_instances 37 [11,7,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,7,7,4,5,2] number_of_instances 36 [11,6,8,4,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,4,6,2] number_of_instances 36 [11,7,7,4,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,7,7,4,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] number_of_instances 36 [11,6,7,5,5,2] precision 0.747055 [0.846154,0.555556,1,0,1,1] precision 0.758836 [0.923077,0.5,1,0,1,1] precision 0.916667 [0.916667,0.75,1,1,1,0.666667] precision 0.849631 [0.909091,0.454545,1,1,1,0.4] precision 0.839511 [0.916667,0.571429,1,1,0.75,0.4] precision 0.92629 [1,0.545455,1,1,1,1] precision 0.880631 [1,0.75,1,0.5,1,0.666667] precision 0.894936 [0.923077,0.714286,1,0.75,1,1] precision 0.85843 [0.785714,0.666667,1,1,1,0.666667] precision 0.910702 [0.923077,0.714286,1,1,1,0.666667] precision 0.921171 [0.916667,0.666667,1,1,1,1] precision 0.976834 [1,0.857143,1,1,1,1] precision 0.866667 [0.733333,0.666667,1,1,1,1] precision 0.927755 [0.923077,0.75,1,1,1,1] precision 0.900901 [0.909091,0.666667,1,1,1,0.666667] precision 0.878378 [0.9,0.6,1,1,1,0.5] precision 0.920998 [0.923077,0.666667,1,1,1,1] precision 0.875953 [0.923077,0.5,1,1,1,0.666667] precision 0.799228 [0.75,0.428571,1,1,1,0.5] precision 0.780606 [0.846154,0.571429,1,0.5,1,0.4] precision 0.900901 [0.909091,0.666667,1,1,1,0.666667] precision 0.945946 [1,0.666667,1,1,1,1] precision 0.891892 [1,0.555556,1,1,1,0.333333] precision 0.935135 [1,0.6,1,1,1,1] precision 0.889397 [0.846154,0.6,1,1,1,1] precision 0.876126 [0.916667,0.555556,1,1,0.833333,1] precision 0.841303 [0.769231,0.555556,1,1,1,0.666667] precision 0.934685 [0.916667,0.75,1,1,1,1] precision 0.872587 [0.909091,0.666667,1,1,0.714286,1] precision 0.873874 [0.909091,0.555556,1,1,1,0.5] precision 0.832368 [0.857143,0.571429,1,1,0.75,0.666667] precision 0.92629 [1,0.545455,1,1,1,1] precision 0.905405 [1,0.75,1,0.75,1,0.5] precision 0.754262 [0.846154,0.6,1,0,1,1] precision 0.759009 [0.916667,0.5,1,0,1,1] precision 0.866424 [0.846154,0.625,1,1,1,0.5] precision 0.745417 [0.846154,0.545455,1,0,1,1] precision 0.882239 [0.785714,0.666667,1,1,1,1] precision 0.791155 [1,0.545455,1,0,1,1] precision 0.959459 [1,0.75,1,1,1,1] precision 0.824324 [1,0.5,1,0.5,0.8,1] precision 0.851351 [0.833333,0.555556,1,1,1,0.5] precision 0.858108 [0.916667,0.444444,1,1,1,0.5] precision 0.882239 [0.785714,0.666667,1,1,1,1] precision 0.881081 [0.8,0.666667,1,1,1,1] precision 0.896911 [0.857143,0.7,1,1,1,1] precision 0.785586 [0.733333,0.333333,1,1,1,0.5] precision 0.900901 [0.909091,0.666667,1,1,1,0.666667] precision 0.925225 [1,0.7,1,1,1,0.666667] precision 0.856499 [0.714286,0.75,1,1,1,0.666667] precision 0.860618 [0.785714,0.6,1,1,1,1] precision 0.719335 [0.846154,0.384615,1,0,1,1] precision 0.724153 [1,0.555556,1,0,0.714286,0.666667] precision 0.899263 [1,0.545455,1,1,1,0.5] precision 0.878378 [1,0.5,1,1,1,0.25] precision 0.920998 [0.923077,0.666667,1,1,1,1] precision 0.819206 [0.916667,0.454545,1,0.5,1,1] precision 0.883497 [0.916667,0.545455,1,1,1,0.666667] precision 0.895109 [0.916667,0.714286,1,0.75,1,1] precision 0.821663 [0.916667,0.545455,1,0.5,1,1] precision 0.834987 [0.785714,0.625,1,1,1,0.333333] precision 0.878917 [0.846154,0.666667,1,1,1,0.666667] precision 0.856481 [0.833333,0.555556,1,1,1,0.666667] precision 0.831019 [0.916667,0.555556,1,0.5,1,1] precision 0.916667 [1,0.5,1,1,1,1] precision 0.918981 [0.916667,0.666667,1,1,1,1] precision 0.90787 [0.916667,0.6,1,1,1,1] precision 0.909782 [0.846154,0.777778,1,1,1,1] precision 0.887037 [0.909091,0.6,1,1,1,0.666667] precision 0.818519 [0.733333,0.4,1,1,1,1] precision 0.888889 [1,0.5,1,1,1,0.5] precision 0.679487 [0.769231,0.5,1,0,1,0.5] precision 0.740028 [0.846154,0.555556,1,0,1,1] precision 0.898148 [1,0.5,1,1,1,0.666667] precision 0.878917 [0.846154,0.555556,1,1,1,1] precision 0.89914 [0.916667,0.714286,1,1,1,0.5] precision 0.858796 [0.75,0.833333,1,1,1,0.333333] precision 0.731481 [0.909091,0.5,1,0,1,0.666667] precision 0.85119 [0.785714,0.5,1,1,1,1] precision 0.933333 [1,0.6,1,1,1,1] precision 0.924242 [1,0.545455,1,1,1,1] precision 0.878968 [0.785714,0.833333,1,1,1,0.5] precision 0.924242 [1,0.545455,1,1,1,1] precision 0.89914 [0.916667,0.714286,1,1,1,0.5] precision 0.86045 [0.785714,0.555556,1,1,1,1] precision 0.825758 [0.909091,0.454545,1,1,0.8,0.5] precision 0.944444 [1,0.666667,1,1,1,1] precision 0.828704 [0.833333,0.5,1,1,1,0.333333] precision 0.933862 [1,0.714286,1,1,1,0.666667] precision 0.90787 [0.916667,0.6,1,1,1,1] precision 0.906746 [0.833333,0.857143,1,1,1,0.666667] precision 0.797454 [0.909091,0.625,1,0.5,0.8,0.666667] precision 0.878968 [0.785714,0.666667,1,1,1,1] precision 0.852381 [0.733333,0.714286,1,1,1,0.666667] precision 0.865028 [0.846154,0.833333,1,0.666667,1,0.666667] precision 0.860399 [0.846154,0.555556,1,1,1,0.666667] precision 0.862795 [1,0.454545,1,1,0.666667,1] precision 0.85114 [0.846154,0.5,1,1,1,0.666667] precision 0.896825 [0.909091,0.714286,1,1,1,0.5] precision 0.854798 [1,0.545455,1,0.5,1,1] predictive_accuracy 0.810811 predictive_accuracy 0.810811 predictive_accuracy 0.891892 predictive_accuracy 0.72973 predictive_accuracy 0.783784 predictive_accuracy 0.864865 predictive_accuracy 0.891892 predictive_accuracy 0.891892 predictive_accuracy 0.810811 predictive_accuracy 0.891892 predictive_accuracy 0.891892 predictive_accuracy 0.972973 predictive_accuracy 0.810811 predictive_accuracy 0.918919 predictive_accuracy 0.864865 predictive_accuracy 0.810811 predictive_accuracy 0.891892 predictive_accuracy 0.837838 predictive_accuracy 0.72973 predictive_accuracy 0.756757 predictive_accuracy 0.864865 predictive_accuracy 0.918919 predictive_accuracy 0.837838 predictive_accuracy 0.891892 predictive_accuracy 0.837838 predictive_accuracy 0.837838 predictive_accuracy 0.783784 predictive_accuracy 0.918919 predictive_accuracy 0.837838 predictive_accuracy 0.810811 predictive_accuracy 0.810811 predictive_accuracy 0.864865 predictive_accuracy 0.891892 predictive_accuracy 0.837838 predictive_accuracy 0.810811 predictive_accuracy 0.837838 predictive_accuracy 0.810811 predictive_accuracy 0.837838 predictive_accuracy 0.864865 predictive_accuracy 0.945946 predictive_accuracy 0.810811 predictive_accuracy 0.783784 predictive_accuracy 0.783784 predictive_accuracy 0.837838 predictive_accuracy 0.837838 predictive_accuracy 0.864865 predictive_accuracy 0.702703 predictive_accuracy 0.864865 predictive_accuracy 0.891892 predictive_accuracy 0.810811 predictive_accuracy 0.810811 predictive_accuracy 0.72973 predictive_accuracy 0.783784 predictive_accuracy 0.837838 predictive_accuracy 0.783784 predictive_accuracy 0.891892 predictive_accuracy 0.783784 predictive_accuracy 0.810811 predictive_accuracy 0.891892 predictive_accuracy 0.810811 predictive_accuracy 0.777778 predictive_accuracy 0.861111 predictive_accuracy 0.805556 predictive_accuracy 0.833333 predictive_accuracy 0.833333 predictive_accuracy 0.888889 predictive_accuracy 0.861111 predictive_accuracy 0.888889 predictive_accuracy 0.833333 predictive_accuracy 0.722222 predictive_accuracy 0.805556 predictive_accuracy 0.722222 predictive_accuracy 0.833333 predictive_accuracy 0.833333 predictive_accuracy 0.833333 predictive_accuracy 0.861111 predictive_accuracy 0.777778 predictive_accuracy 0.805556 predictive_accuracy 0.777778 predictive_accuracy 0.888889 predictive_accuracy 0.861111 predictive_accuracy 0.833333 predictive_accuracy 0.861111 predictive_accuracy 0.861111 predictive_accuracy 0.805556 predictive_accuracy 0.75 predictive_accuracy 0.916667 predictive_accuracy 0.722222 predictive_accuracy 0.916667 predictive_accuracy 0.861111 predictive_accuracy 0.888889 predictive_accuracy 0.805556 predictive_accuracy 0.833333 predictive_accuracy 0.805556 predictive_accuracy 0.861111 predictive_accuracy 0.805556 predictive_accuracy 0.805556 predictive_accuracy 0.805556 predictive_accuracy 0.861111 predictive_accuracy 0.833333 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 prior_entropy 2.437791 recall 0.810811 [1,0.833333,1,0,0.833333,1] recall 0.810811 [1,1,1,0,0.6,1] recall 0.891892 [1,1,1,0.2,1,1] recall 0.72973 [0.833333,0.833333,1,0.2,0.4,1] recall 0.783784 [1,0.666667,0.875,0.4,0.6,1] recall 0.864865 [1,1,1,0.2,0.8,1] recall 0.891892 [1,0.857143,1,0.25,1,1] recall 0.891892 [1,0.833333,1,0.6,0.8,1] recall 0.810811 [0.916667,1,1,0.4,0.4,1] recall 0.891892 [1,0.833333,1,0.6,0.8,1] recall 0.891892 [1,1,1,0.4,0.8,1] recall 0.972973 [1,1,1,0.8,1,1] recall 0.810811 [1,1,1,0.2,0.5,1] recall 0.918919 [1,0.857143,1,0.5,1,1] recall 0.864865 [0.909091,1,1,0.2,1,1] recall 0.810811 [0.818182,1,1,0.4,0.6,1] recall 0.891892 [1,1,1,0.4,0.8,1] recall 0.837838 [1,0.666667,1,0.2,1,1] recall 0.72973 [1,0.5,0.857143,0.2,0.6,1] recall 0.756757 [0.916667,0.666667,0.857143,0.2,0.8,1] recall 0.864865 [0.909091,1,1,0.2,1,1] recall 0.918919 [1,1,1,0.4,1,1] recall 0.837838 [0.916667,0.833333,1,0.6,0.8,0.5] recall 0.891892 [1,1,1,0.4,1,0.5] recall 0.837838 [1,1,1,0.2,0.833333,0.5] recall 0.837838 [1,0.833333,1,0.2,0.833333,1] recall 0.783784 [0.909091,0.833333,0.857143,0.2,0.833333,1] recall 0.918919 [1,1,1,0.4,1,1] recall 0.837838 [0.909091,1,1,0.4,0.833333,0.5] recall 0.810811 [0.909091,0.833333,1,0.4,0.6,1] recall 0.810811 [1,0.666667,1,0.4,0.6,1] recall 0.864865 [1,1,1,0.4,0.8,0.5] recall 0.891892 [0.916667,1,1,0.75,0.8,0.5] recall 0.837838 [1,1,1,0,0.8,1] recall 0.810811 [1,0.833333,1,0,0.833333,1] recall 0.837838 [1,0.833333,1,0.2,1,0.5] recall 0.810811 [1,1,1,0,0.666667,1] recall 0.837838 [1,1,1,0.4,0.4,1] recall 0.864865 [1,1,1,0,1,1] recall 0.945946 [1,1,1,0.5,1,1] recall 0.810811 [1,0.666667,1,0.4,0.8,0.5] recall 0.783784 [0.909091,0.833333,1,0.2,0.666667,1] recall 0.783784 [1,0.666667,1,0.2,0.6,1] recall 0.837838 [1,1,1,0.2,0.666667,1] recall 0.837838 [1,1,1,0.4,0.4,1] recall 0.864865 [1,1,1,0.25,0.6,1] recall 0.702703 [1,0.5,1,0.2,0.4,0.5] recall 0.864865 [0.909091,1,1,0.2,1,1] recall 0.891892 [1,1,1,0.4,0.8,1] recall 0.810811 [0.909091,1,1,0.4,0.5,1] recall 0.810811 [1,0.857143,1,0.2,0.6,1] recall 0.72973 [1,0.833333,1,0,0.333333,1] recall 0.783784 [1,0.714286,0.857143,0,1,1] recall 0.837838 [0.909091,1,1,0.4,0.833333,0.5] recall 0.783784 [0.833333,0.833333,1,0.2,1,0.5] recall 0.891892 [1,1,1,0.2,1,1] recall 0.783784 [1,0.833333,1,0.2,0.4,1] recall 0.810811 [1,1,1,0.2,0.5,1] recall 0.891892 [1,0.833333,1,0.6,0.8,1] recall 0.810811 [1,0.857143,1,0.2,0.6,1] recall 0.777778 [1,0.833333,1,0.2,0.6,0.5] recall 0.861111 [1,0.666667,1,0.4,1,1] recall 0.805556 [0.909091,0.833333,1,0.2,0.8,1] recall 0.833333 [1,0.833333,1,0.2,0.8,1] recall 0.833333 [1,1,1,0.2,0.6,1] recall 0.888889 [1,1,1,0.4,0.8,1] recall 0.861111 [1,1,1,0.4,0.8,0.5] recall 0.888889 [1,1,1,0.5,0.6,1] recall 0.833333 [0.909091,1,1,0.25,0.6,1] recall 0.722222 [1,0.666667,1,0.2,0.4,0.5] recall 0.805556 [0.909091,0.833333,1,0.2,0.8,1] recall 0.722222 [0.909091,1,1,0,0.4,0.5] recall 0.833333 [1,0.833333,1,0,1,1] recall 0.833333 [1,0.833333,1,0.4,0.6,1] recall 0.833333 [1,0.833333,1,0.4,0.6,1] recall 0.861111 [1,0.833333,1,0.4,0.8,1] recall 0.777778 [0.818182,0.833333,1,0.2,0.8,1] recall 0.805556 [0.909091,0.833333,1,0,1,1] recall 0.777778 [1,0.833333,1,0.2,0.4,1] recall 0.888889 [1,1,1,0.2,1,1] recall 0.861111 [1,1,1,0.2,0.8,1] recall 0.833333 [1,0.833333,0.857143,0.4,0.8,1] recall 0.861111 [1,1,1,0.2,0.8,1] recall 0.861111 [1,0.833333,1,0.4,0.8,1] recall 0.805556 [1,0.833333,1,0.6,0.2,1] recall 0.75 [0.909091,0.833333,0.857143,0.2,0.8,0.5] recall 0.916667 [1,1,1,0.4,1,1] recall 0.722222 [0.909091,1,0.857143,0.2,0.4,0.5] recall 0.916667 [1,0.833333,1,0.6,1,1] recall 0.861111 [1,1,1,0.2,0.8,1] recall 0.888889 [0.909091,1,1,0.5,0.833333,1] recall 0.805556 [0.909091,0.714286,1,0.25,0.8,1] recall 0.833333 [1,1,1,0.4,0.4,1] recall 0.805556 [1,0.833333,0.857143,0.4,0.6,1] recall 0.861111 [1,0.714286,1,0.5,0.8,1] recall 0.805556 [1,0.833333,1,0.4,0.4,1] recall 0.805556 [1,0.833333,1,0.4,0.4,1] recall 0.805556 [1,0.666667,1,0.2,0.8,1] recall 0.861111 [0.909091,0.833333,1,0.4,1,1] recall 0.833333 [1,1,1,0.2,0.8,0.5] relative_absolute_error 0.236126 relative_absolute_error 0.237418 relative_absolute_error 0.134929 relative_absolute_error 0.339168 relative_absolute_error 0.270349 relative_absolute_error 0.168968 relative_absolute_error 0.135816 relative_absolute_error 0.135667 relative_absolute_error 0.237418 relative_absolute_error 0.135667 relative_absolute_error 0.135174 relative_absolute_error 0.033917 relative_absolute_error 0.236126 relative_absolute_error 0.101862 relative_absolute_error 0.168968 relative_absolute_error 0.236555 relative_absolute_error 0.135667 relative_absolute_error 0.203501 relative_absolute_error 0.339168 relative_absolute_error 0.305252 relative_absolute_error 0.168968 relative_absolute_error 0.101381 relative_absolute_error 0.203501 relative_absolute_error 0.135174 relative_absolute_error 0.202394 relative_absolute_error 0.202394 relative_absolute_error 0.269859 relative_absolute_error 0.101381 relative_absolute_error 0.202394 relative_absolute_error 0.236555 relative_absolute_error 0.237418 relative_absolute_error 0.168968 relative_absolute_error 0.135952 relative_absolute_error 0.202762 relative_absolute_error 0.236126 relative_absolute_error 0.202394 relative_absolute_error 0.236126 relative_absolute_error 0.202762 relative_absolute_error 0.168662 relative_absolute_error 0.067606 relative_absolute_error 0.237418 relative_absolute_error 0.269859 relative_absolute_error 0.270349 relative_absolute_error 0.202394 relative_absolute_error 0.203501 relative_absolute_error 0.16977 relative_absolute_error 0.37173 relative_absolute_error 0.168662 relative_absolute_error 0.135039 relative_absolute_error 0.236126 relative_absolute_error 0.236319 relative_absolute_error 0.337323 relative_absolute_error 0.270079 relative_absolute_error 0.202394 relative_absolute_error 0.271335 relative_absolute_error 0.135667 relative_absolute_error 0.270349 relative_absolute_error 0.236126 relative_absolute_error 0.135174 relative_absolute_error 0.236319 relative_absolute_error 0.277897 relative_absolute_error 0.173686 relative_absolute_error 0.24316 relative_absolute_error 0.208423 relative_absolute_error 0.208423 relative_absolute_error 0.138949 relative_absolute_error 0.173686 relative_absolute_error 0.139104 relative_absolute_error 0.208871 relative_absolute_error 0.347371 relative_absolute_error 0.24316 relative_absolute_error 0.347371 relative_absolute_error 0.208423 relative_absolute_error 0.208423 relative_absolute_error 0.208423 relative_absolute_error 0.173686 relative_absolute_error 0.277897 relative_absolute_error 0.24316 relative_absolute_error 0.277897 relative_absolute_error 0.138949 relative_absolute_error 0.173686 relative_absolute_error 0.208423 relative_absolute_error 0.173686 relative_absolute_error 0.173686 relative_absolute_error 0.24316 relative_absolute_error 0.312634 relative_absolute_error 0.104211 relative_absolute_error 0.347371 relative_absolute_error 0.104211 relative_absolute_error 0.173686 relative_absolute_error 0.138987 relative_absolute_error 0.243433 relative_absolute_error 0.208423 relative_absolute_error 0.24316 relative_absolute_error 0.173881 relative_absolute_error 0.24316 relative_absolute_error 0.24316 relative_absolute_error 0.24316 relative_absolute_error 0.173686 relative_absolute_error 0.208423 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.363338 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.363338 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.362972 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.364968 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.363338 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365432 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365432 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365432 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.363738 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.36573 root_mean_prior_squared_error 0.365067 root_mean_prior_squared_error 0.365432 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.364607 root_mean_prior_squared_error 0.364232 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.364914 root_mean_prior_squared_error 0.364607 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.364607 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_prior_squared_error 0.365017 root_mean_squared_error 0.251124 root_mean_squared_error 0.251124 root_mean_squared_error 0.189832 root_mean_squared_error 0.30015 root_mean_squared_error 0.268462 root_mean_squared_error 0.212238 root_mean_squared_error 0.189832 root_mean_squared_error 0.189832 root_mean_squared_error 0.251124 root_mean_squared_error 0.189832 root_mean_squared_error 0.189832 root_mean_squared_error 0.094916 root_mean_squared_error 0.251124 root_mean_squared_error 0.164399 root_mean_squared_error 0.212238 root_mean_squared_error 0.251124 root_mean_squared_error 0.189832 root_mean_squared_error 0.232495 root_mean_squared_error 0.30015 root_mean_squared_error 0.284747 root_mean_squared_error 0.212238 root_mean_squared_error 0.164399 root_mean_squared_error 0.232495 root_mean_squared_error 0.189832 root_mean_squared_error 0.232495 root_mean_squared_error 0.232495 root_mean_squared_error 0.268462 root_mean_squared_error 0.164399 root_mean_squared_error 0.232495 root_mean_squared_error 0.251124 root_mean_squared_error 0.251124 root_mean_squared_error 0.212238 root_mean_squared_error 0.189832 root_mean_squared_error 0.232495 root_mean_squared_error 0.251124 root_mean_squared_error 0.232495 root_mean_squared_error 0.251124 root_mean_squared_error 0.232495 root_mean_squared_error 0.212238 root_mean_squared_error 0.134231 root_mean_squared_error 0.251124 root_mean_squared_error 0.268462 root_mean_squared_error 0.268462 root_mean_squared_error 0.232495 root_mean_squared_error 0.232495 root_mean_squared_error 0.212238 root_mean_squared_error 0.3148 root_mean_squared_error 0.212238 root_mean_squared_error 0.189832 root_mean_squared_error 0.251124 root_mean_squared_error 0.251124 root_mean_squared_error 0.30015 root_mean_squared_error 0.268462 root_mean_squared_error 0.232495 root_mean_squared_error 0.268462 root_mean_squared_error 0.189832 root_mean_squared_error 0.268462 root_mean_squared_error 0.251124 root_mean_squared_error 0.189832 root_mean_squared_error 0.251124 root_mean_squared_error 0.272166 root_mean_squared_error 0.215166 root_mean_squared_error 0.254588 root_mean_squared_error 0.235702 root_mean_squared_error 0.235702 root_mean_squared_error 0.19245 root_mean_squared_error 0.215166 root_mean_squared_error 0.19245 root_mean_squared_error 0.235702 root_mean_squared_error 0.30429 root_mean_squared_error 0.254588 root_mean_squared_error 0.30429 root_mean_squared_error 0.235702 root_mean_squared_error 0.235702 root_mean_squared_error 0.235702 root_mean_squared_error 0.215166 root_mean_squared_error 0.272166 root_mean_squared_error 0.254588 root_mean_squared_error 0.272166 root_mean_squared_error 0.19245 root_mean_squared_error 0.215166 root_mean_squared_error 0.235702 root_mean_squared_error 0.215166 root_mean_squared_error 0.215166 root_mean_squared_error 0.254588 root_mean_squared_error 0.288675 root_mean_squared_error 0.166667 root_mean_squared_error 0.30429 root_mean_squared_error 0.166667 root_mean_squared_error 0.215166 root_mean_squared_error 0.19245 root_mean_squared_error 0.254588 root_mean_squared_error 0.235702 root_mean_squared_error 0.254588 root_mean_squared_error 0.215166 root_mean_squared_error 0.254588 root_mean_squared_error 0.254588 root_mean_squared_error 0.254588 root_mean_squared_error 0.215166 root_mean_squared_error 0.235702 root_relative_squared_error 0.686636 root_relative_squared_error 0.690397 root_relative_squared_error 0.519048 root_relative_squared_error 0.825182 root_relative_squared_error 0.735378 root_relative_squared_error 0.581367 root_relative_squared_error 0.522465 root_relative_squared_error 0.521891 root_relative_squared_error 0.690397 root_relative_squared_error 0.521891 root_relative_squared_error 0.519991 root_relative_squared_error 0.260945 root_relative_squared_error 0.686636 root_relative_squared_error 0.452468 root_relative_squared_error 0.581367 root_relative_squared_error 0.687883 root_relative_squared_error 0.521891 root_relative_squared_error 0.639183 root_relative_squared_error 0.825182 root_relative_squared_error 0.782836 root_relative_squared_error 0.581367 root_relative_squared_error 0.450325 root_relative_squared_error 0.639183 root_relative_squared_error 0.519991 root_relative_squared_error 0.635702 root_relative_squared_error 0.635702 root_relative_squared_error 0.734045 root_relative_squared_error 0.450325 root_relative_squared_error 0.635702 root_relative_squared_error 0.687883 root_relative_squared_error 0.690397 root_relative_squared_error 0.581367 root_relative_squared_error 0.522993 root_relative_squared_error 0.636856 root_relative_squared_error 0.686636 root_relative_squared_error 0.635702 root_relative_squared_error 0.686636 root_relative_squared_error 0.636856 root_relative_squared_error 0.580314 root_relative_squared_error 0.367789 root_relative_squared_error 0.690397 root_relative_squared_error 0.734045 root_relative_squared_error 0.735378 root_relative_squared_error 0.635702 root_relative_squared_error 0.639183 root_relative_squared_error 0.584134 root_relative_squared_error 0.862307 root_relative_squared_error 0.580314 root_relative_squared_error 0.519472 root_relative_squared_error 0.686636 root_relative_squared_error 0.687197 root_relative_squared_error 0.820687 root_relative_squared_error 0.734644 root_relative_squared_error 0.635702 root_relative_squared_error 0.738065 root_relative_squared_error 0.521891 root_relative_squared_error 0.735378 root_relative_squared_error 0.686636 root_relative_squared_error 0.519991 root_relative_squared_error 0.687197 root_relative_squared_error 0.745625 root_relative_squared_error 0.589468 root_relative_squared_error 0.697468 root_relative_squared_error 0.64573 root_relative_squared_error 0.64573 root_relative_squared_error 0.527236 root_relative_squared_error 0.589468 root_relative_squared_error 0.527828 root_relative_squared_error 0.647122 root_relative_squared_error 0.833634 root_relative_squared_error 0.697468 root_relative_squared_error 0.833634 root_relative_squared_error 0.64573 root_relative_squared_error 0.64573 root_relative_squared_error 0.64573 root_relative_squared_error 0.589468 root_relative_squared_error 0.745625 root_relative_squared_error 0.697468 root_relative_squared_error 0.745625 root_relative_squared_error 0.527236 root_relative_squared_error 0.589468 root_relative_squared_error 0.64573 root_relative_squared_error 0.589468 root_relative_squared_error 0.589468 root_relative_squared_error 0.697468 root_relative_squared_error 0.790855 root_relative_squared_error 0.4566 root_relative_squared_error 0.833634 root_relative_squared_error 0.4566 root_relative_squared_error 0.589468 root_relative_squared_error 0.527384 root_relative_squared_error 0.698251 root_relative_squared_error 0.64573 root_relative_squared_error 0.697468 root_relative_squared_error 0.59013 root_relative_squared_error 0.697468 root_relative_squared_error 0.697468 root_relative_squared_error 0.697468 root_relative_squared_error 0.589468 root_relative_squared_error 0.64573 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 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 10 usercpu_time_millis_testing 10 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 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 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 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 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 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 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 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 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 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 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 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 90