340550 2 Joaquin Vanschoren 4291 Supervised Classification predictive_accuracy 1079 weka.RandomForest(5) 1849 weka.classifiers.trees.RandomForest -- -I 100 -K 0 -S 1 -num-slots 1 I 100 1079 K 0 1079 S 1 1079 num-slots 1 1079 weka weka_3.7.12 720 abalone https://www.openml.org/data/download/53254/abalone.arff -1 1169262 description https://api.openml.org/data/download/1169262/weka_generated_run2084634957078172465.xml -1 1169265 model_readable https://api.openml.org/data/download/1169265/WekaModel_weka.classifiers.trees.RandomForest1910100027465309915.model -1 1169264 model_serialized https://api.openml.org/data/download/1169264/WekaSerialized_weka.classifiers.trees.RandomForest5967947979053847138.model -1 1169263 predictions https://api.openml.org/data/download/1169263/weka_generated_predictions1051429080073991041.arff area_under_roc_curve 0.869042 [0.869042,0.869042] average_cost 0 f_measure 0.784021 [0.779627,0.788448] kappa 0.568324 kb_relative_information_score 19368.249081 mean_absolute_error 0.279274 mean_prior_absolute_error 0.499994 number_of_instances 41770 [20960,20810] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.784821 [0.799218,0.77032] predictive_accuracy 0.784127 prior_entropy 0.999991 recall 0.784127 [0.760973,0.807448] relative_absolute_error 0.558555 root_mean_prior_squared_error 0.499997 root_mean_squared_error 0.383001 root_relative_squared_error 0.766008 scimark_benchmark 1320.828338 [817.7405200469505, 970.0251618161137, 526.8605337218959, 1071.2872788694497, 3218.2281952842477] total_cost 0 usercpu_time_millis 1840 usercpu_time_millis_testing 270 usercpu_time_millis_training 1570 area_under_roc_curve 0.889563 [0.889563,0.889563] area_under_roc_curve 0.875149 [0.875149,0.875149] area_under_roc_curve 0.870481 [0.870481,0.870481] area_under_roc_curve 0.875355 [0.875355,0.875355] area_under_roc_curve 0.873732 [0.873732,0.873732] area_under_roc_curve 0.860031 [0.860031,0.860031] area_under_roc_curve 0.864426 [0.864426,0.864426] area_under_roc_curve 0.882555 [0.882555,0.882555] area_under_roc_curve 0.871077 [0.871077,0.871077] area_under_roc_curve 0.893146 [0.893146,0.893146] area_under_roc_curve 0.870925 [0.870925,0.870925] area_under_roc_curve 0.871543 [0.871543,0.871543] area_under_roc_curve 0.848787 [0.848787,0.848787] area_under_roc_curve 0.905815 [0.905815,0.905815] area_under_roc_curve 0.856364 [0.856364,0.856364] area_under_roc_curve 0.863668 [0.863668,0.863668] area_under_roc_curve 0.872699 [0.872699,0.872699] area_under_roc_curve 0.861046 [0.861046,0.861046] area_under_roc_curve 0.871738 [0.871738,0.871738] area_under_roc_curve 0.847596 [0.847596,0.847596] area_under_roc_curve 0.908642 [0.908642,0.908642] area_under_roc_curve 0.874702 [0.874702,0.874702] area_under_roc_curve 0.877793 [0.877793,0.877793] area_under_roc_curve 0.871394 [0.871394,0.871394] area_under_roc_curve 0.869517 [0.869517,0.869517] area_under_roc_curve 0.821451 [0.821451,0.821451] area_under_roc_curve 0.890259 [0.890259,0.890259] area_under_roc_curve 0.862649 [0.862649,0.862649] area_under_roc_curve 0.882795 [0.882795,0.882795] area_under_roc_curve 0.873958 [0.873958,0.873958] area_under_roc_curve 0.833413 [0.833413,0.833413] area_under_roc_curve 0.857589 [0.857589,0.857589] area_under_roc_curve 0.887489 [0.887489,0.887489] area_under_roc_curve 0.838267 [0.838267,0.838267] area_under_roc_curve 0.883894 [0.883894,0.883894] area_under_roc_curve 0.864412 [0.864412,0.864412] area_under_roc_curve 0.822115 [0.822115,0.822115] area_under_roc_curve 0.853251 [0.853251,0.853251] area_under_roc_curve 0.84486 [0.84486,0.84486] area_under_roc_curve 0.886 [0.886,0.886] area_under_roc_curve 0.846383 [0.846383,0.846383] area_under_roc_curve 0.867811 [0.867811,0.867811] area_under_roc_curve 0.874702 [0.874702,0.874702] area_under_roc_curve 0.85791 [0.85791,0.85791] area_under_roc_curve 0.860703 [0.860703,0.860703] area_under_roc_curve 0.859833 [0.859833,0.859833] area_under_roc_curve 0.873947 [0.873947,0.873947] area_under_roc_curve 0.868864 [0.868864,0.868864] area_under_roc_curve 0.868693 [0.868693,0.868693] area_under_roc_curve 0.897745 [0.897745,0.897745] area_under_roc_curve 0.857647 [0.857647,0.857647] area_under_roc_curve 0.861996 [0.861996,0.861996] area_under_roc_curve 0.858871 [0.858871,0.858871] area_under_roc_curve 0.880369 [0.880369,0.880369] area_under_roc_curve 0.885119 [0.885119,0.885119] area_under_roc_curve 0.881719 [0.881719,0.881719] area_under_roc_curve 0.869998 [0.869998,0.869998] area_under_roc_curve 0.882269 [0.882269,0.882269] area_under_roc_curve 0.850332 [0.850332,0.850332] area_under_roc_curve 0.856845 [0.856845,0.856845] area_under_roc_curve 0.863507 [0.863507,0.863507] area_under_roc_curve 0.860397 [0.860397,0.860397] area_under_roc_curve 0.888793 [0.888793,0.888793] area_under_roc_curve 0.854559 [0.854559,0.854559] area_under_roc_curve 0.885623 [0.885623,0.885623] area_under_roc_curve 0.886985 [0.886985,0.886985] area_under_roc_curve 0.881467 [0.881467,0.881467] area_under_roc_curve 0.866429 [0.866429,0.866429] area_under_roc_curve 0.871451 [0.871451,0.871451] area_under_roc_curve 0.861092 [0.861092,0.861092] area_under_roc_curve 0.885892 [0.885892,0.885892] area_under_roc_curve 0.85072 [0.85072,0.85072] area_under_roc_curve 0.878853 [0.878853,0.878853] area_under_roc_curve 0.875219 [0.875219,0.875219] area_under_roc_curve 0.867144 [0.867144,0.867144] area_under_roc_curve 0.877933 [0.877933,0.877933] area_under_roc_curve 0.882465 [0.882465,0.882465] area_under_roc_curve 0.874804 [0.874804,0.874804] area_under_roc_curve 0.891815 [0.891815,0.891815] area_under_roc_curve 0.862797 [0.862797,0.862797] area_under_roc_curve 0.879118 [0.879118,0.879118] area_under_roc_curve 0.879589 [0.879589,0.879589] area_under_roc_curve 0.862176 [0.862176,0.862176] area_under_roc_curve 0.858012 [0.858012,0.858012] area_under_roc_curve 0.859829 [0.859829,0.859829] area_under_roc_curve 0.88695 [0.88695,0.88695] area_under_roc_curve 0.851376 [0.851376,0.851376] area_under_roc_curve 0.849811 [0.849811,0.849811] area_under_roc_curve 0.879946 [0.879946,0.879946] area_under_roc_curve 0.839621 [0.839621,0.839621] area_under_roc_curve 0.848707 [0.848707,0.848707] area_under_roc_curve 0.873735 [0.873735,0.873735] area_under_roc_curve 0.843002 [0.843002,0.843002] area_under_roc_curve 0.877323 [0.877323,0.877323] area_under_roc_curve 0.876737 [0.876737,0.876737] area_under_roc_curve 0.891666 [0.891666,0.891666] area_under_roc_curve 0.87462 [0.87462,0.87462] area_under_roc_curve 0.892114 [0.892114,0.892114] area_under_roc_curve 0.874678 [0.874678,0.874678] area_under_roc_curve 0.866857 [0.866857,0.866857] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.789397 [0.785366,0.793427] f_measure 0.786843 [0.780247,0.793503] f_measure 0.798582 [0.788945,0.808219] f_measure 0.796535 [0.792176,0.800937] f_measure 0.794027 [0.787129,0.800926] f_measure 0.782146 [0.776413,0.787879] f_measure 0.779723 [0.773399,0.786047] f_measure 0.79406 [0.788177,0.8] f_measure 0.777358 [0.771499,0.783217] f_measure 0.803283 [0.792929,0.813636] f_measure 0.787005 [0.783455,0.790588] f_measure 0.791791 [0.788321,0.795294] f_measure 0.779753 [0.77451,0.785047] f_measure 0.830082 [0.827251,0.832941] f_measure 0.76555 [0.76555,0.76555] f_measure 0.772708 [0.771084,0.774347] f_measure 0.784541 [0.790698,0.778325] f_measure 0.786594 [0.776942,0.796339] f_measure 0.786687 [0.778055,0.795402] f_measure 0.750305 [0.736041,0.764706] f_measure 0.829829 [0.822943,0.836782] f_measure 0.779874 [0.777778,0.781991] f_measure 0.758236 [0.764569,0.751843] f_measure 0.775109 [0.774038,0.77619] f_measure 0.793994 [0.787129,0.800926] f_measure 0.751082 [0.746341,0.755869] f_measure 0.798988 [0.796117,0.801887] f_measure 0.789474 [0.790476,0.788462] f_measure 0.791748 [0.787286,0.796253] f_measure 0.786687 [0.778055,0.795402] f_measure 0.750305 [0.736041,0.764706] f_measure 0.782173 [0.777506,0.786885] f_measure 0.803333 [0.79397,0.812785] f_measure 0.748437 [0.739454,0.757506] f_measure 0.782053 [0.775309,0.788863] f_measure 0.789329 [0.784314,0.794393] f_measure 0.741627 [0.741627,0.741627] f_measure 0.765249 [0.757426,0.773148] f_measure 0.750785 [0.741294,0.760369] f_measure 0.801396 [0.799031,0.803783] f_measure 0.770335 [0.771429,0.769231] f_measure 0.767859 [0.772834,0.762836] f_measure 0.796652 [0.797136,0.796163] f_measure 0.779844 [0.776699,0.783019] f_measure 0.753567 [0.751807,0.755344] f_measure 0.77733 [0.771499,0.783217] f_measure 0.803693 [0.79902,0.808411] f_measure 0.787039 [0.784504,0.789598] f_measure 0.787083 [0.787589,0.786571] f_measure 0.820538 [0.818402,0.822695] f_measure 0.762616 [0.75188,0.773455] f_measure 0.786907 [0.781327,0.792541] f_measure 0.763024 [0.757946,0.76815] f_measure 0.820559 [0.819277,0.821853] f_measure 0.774655 [0.765,0.784404] f_measure 0.776778 [0.764557,0.789116] f_measure 0.782253 [0.779661,0.78487] f_measure 0.787078 [0.786571,0.787589] f_measure 0.762893 [0.755556,0.770302] f_measure 0.774831 [0.767327,0.782407] f_measure 0.787078 [0.788599,0.785542] f_measure 0.770203 [0.764706,0.775701] f_measure 0.810937 [0.814988,0.806846] f_measure 0.770077 [0.762376,0.777778] f_measure 0.789464 [0.788462,0.790476] f_measure 0.803738 [0.808411,0.79902] f_measure 0.798073 [0.784615,0.811659] f_measure 0.791836 [0.789346,0.794326] f_measure 0.786687 [0.778055,0.795402] f_measure 0.791862 [0.791367,0.792363] f_measure 0.788809 [0.783251,0.794393] f_measure 0.756812 [0.741688,0.772009] f_measure 0.783792 [0.775,0.792627] f_measure 0.781345 [0.77193,0.790805] f_measure 0.803086 [0.79602,0.810185] f_measure 0.790956 [0.781955,0.8] f_measure 0.803351 [0.804762,0.801932] f_measure 0.807733 [0.798995,0.816514] f_measure 0.80812 [0.805825,0.810427] f_measure 0.776978 [0.776978,0.776978] f_measure 0.796128 [0.799054,0.793187] f_measure 0.796079 [0.792176,0.8] f_measure 0.767177 [0.760494,0.773893] f_measure 0.78417 [0.783654,0.784689] f_measure 0.769768 [0.768116,0.771429] f_measure 0.783947 [0.777228,0.790698] f_measure 0.764473 [0.753769,0.775229] f_measure 0.755396 [0.755981,0.754808] f_measure 0.784121 [0.787736,0.780488] f_measure 0.752938 [0.749392,0.756501] f_measure 0.783792 [0.775,0.792627] f_measure 0.7913 [0.795294,0.787286] f_measure 0.776328 [0.764557,0.788155] f_measure 0.810473 [0.806846,0.814118] f_measure 0.781722 [0.778589,0.78487] f_measure 0.805581 [0.8,0.811189] f_measure 0.781684 [0.777506,0.785882] f_measure 0.81295 [0.813397,0.8125] f_measure 0.776953 [0.774818,0.779097] f_measure 0.774464 [0.769608,0.779343] kappa 0.578947 kappa 0.574299 kappa 0.598086 kappa 0.593395 kappa 0.588517 kappa 0.564593 kappa 0.559809 kappa 0.588639 kappa 0.555024 kappa 0.607656 kappa 0.574241 kappa 0.583808 kappa 0.559919 kappa 0.660349 kappa 0.531111 kappa 0.545496 kappa 0.56927 kappa 0.574358 kappa 0.574338 kappa 0.502677 kappa 0.660427 kappa 0.559859 kappa 0.516636 kappa 0.55027 kappa 0.588658 kappa 0.502495 kappa 0.598151 kappa 0.578938 kappa 0.583827 kappa 0.574338 kappa 0.502677 kappa 0.564693 kappa 0.607844 kappa 0.497792 kappa 0.564733 kappa 0.579053 kappa 0.483265 kappa 0.531261 kappa 0.502586 kappa 0.602925 kappa 0.540659 kappa 0.5358 kappa 0.593301 kappa 0.559879 kappa 0.507222 kappa 0.555146 kappa 0.607754 kappa 0.574221 kappa 0.574163 kappa 0.641198 kappa 0.526533 kappa 0.57428 kappa 0.526424 kappa 0.641181 kappa 0.550435 kappa 0.555268 kappa 0.564653 kappa 0.574182 kappa 0.526468 kappa 0.550394 kappa 0.574143 kappa 0.54067 kappa 0.62194 kappa 0.54067 kappa 0.578976 kappa 0.607575 kappa 0.598353 kappa 0.583732 kappa 0.574338 kappa 0.583751 kappa 0.577993 kappa 0.515735 kappa 0.568432 kappa 0.563642 kappa 0.606785 kappa 0.582823 kappa 0.606703 kappa 0.616393 kappa 0.616331 kappa 0.553959 kappa 0.5923 kappa 0.592366 kappa 0.534839 kappa 0.568353 kappa 0.539587 kappa 0.568412 kappa 0.530081 kappa 0.510789 kappa 0.568313 kappa 0.506032 kappa 0.568432 kappa 0.582698 kappa 0.554072 kappa 0.62114 kappa 0.563582 kappa 0.611567 kappa 0.563592 kappa 0.625897 kappa 0.55398 kappa 0.54921 kb_relative_information_score 203.72597 kb_relative_information_score 200.906031 kb_relative_information_score 191.489358 kb_relative_information_score 201.613463 kb_relative_information_score 195.382396 kb_relative_information_score 192.443778 kb_relative_information_score 191.660781 kb_relative_information_score 208.566377 kb_relative_information_score 195.283309 kb_relative_information_score 203.073654 kb_relative_information_score 195.072557 kb_relative_information_score 202.30979 kb_relative_information_score 179.551726 kb_relative_information_score 218.273254 kb_relative_information_score 183.38703 kb_relative_information_score 189.391653 kb_relative_information_score 194.559691 kb_relative_information_score 187.835988 kb_relative_information_score 198.248729 kb_relative_information_score 182.407463 kb_relative_information_score 219.640838 kb_relative_information_score 195.391071 kb_relative_information_score 194.850544 kb_relative_information_score 197.086572 kb_relative_information_score 196.152506 kb_relative_information_score 167.368252 kb_relative_information_score 210.071362 kb_relative_information_score 189.381378 kb_relative_information_score 204.264494 kb_relative_information_score 195.804802 kb_relative_information_score 173.208452 kb_relative_information_score 183.874289 kb_relative_information_score 204.52346 kb_relative_information_score 172.766181 kb_relative_information_score 202.224615 kb_relative_information_score 188.464567 kb_relative_information_score 169.359086 kb_relative_information_score 182.448029 kb_relative_information_score 178.630012 kb_relative_information_score 205.287332 kb_relative_information_score 180.373084 kb_relative_information_score 188.63685 kb_relative_information_score 203.125347 kb_relative_information_score 186.849057 kb_relative_information_score 188.398256 kb_relative_information_score 190.725626 kb_relative_information_score 200.996109 kb_relative_information_score 193.431442 kb_relative_information_score 194.016297 kb_relative_information_score 214.066119 kb_relative_information_score 183.09269 kb_relative_information_score 190.364857 kb_relative_information_score 188.662871 kb_relative_information_score 204.70647 kb_relative_information_score 196.960514 kb_relative_information_score 200.703614 kb_relative_information_score 195.984122 kb_relative_information_score 195.523188 kb_relative_information_score 182.346721 kb_relative_information_score 184.267892 kb_relative_information_score 189.592335 kb_relative_information_score 183.659991 kb_relative_information_score 206.532801 kb_relative_information_score 186.981523 kb_relative_information_score 206.497476 kb_relative_information_score 203.621104 kb_relative_information_score 196.188194 kb_relative_information_score 194.068393 kb_relative_information_score 193.214395 kb_relative_information_score 190.772502 kb_relative_information_score 204.31624 kb_relative_information_score 181.528873 kb_relative_information_score 194.724841 kb_relative_information_score 193.09416 kb_relative_information_score 191.65682 kb_relative_information_score 192.745301 kb_relative_information_score 196.67761 kb_relative_information_score 204.115241 kb_relative_information_score 200.624521 kb_relative_information_score 191.393934 kb_relative_information_score 200.787067 kb_relative_information_score 202.87702 kb_relative_information_score 188.391964 kb_relative_information_score 184.567243 kb_relative_information_score 187.376958 kb_relative_information_score 197.36316 kb_relative_information_score 182.106621 kb_relative_information_score 178.517099 kb_relative_information_score 195.544131 kb_relative_information_score 175.42185 kb_relative_information_score 184.850815 kb_relative_information_score 196.659489 kb_relative_information_score 182.175107 kb_relative_information_score 197.112395 kb_relative_information_score 202.301997 kb_relative_information_score 213.16274 kb_relative_information_score 191.931989 kb_relative_information_score 205.780893 kb_relative_information_score 195.549086 kb_relative_information_score 194.553238 mean_absolute_error 0.267971 mean_absolute_error 0.270206 mean_absolute_error 0.283266 mean_absolute_error 0.27139 mean_absolute_error 0.278678 mean_absolute_error 0.280641 mean_absolute_error 0.280594 mean_absolute_error 0.26169 mean_absolute_error 0.276734 mean_absolute_error 0.27004 mean_absolute_error 0.278274 mean_absolute_error 0.269196 mean_absolute_error 0.295589 mean_absolute_error 0.25239 mean_absolute_error 0.291713 mean_absolute_error 0.283575 mean_absolute_error 0.277528 mean_absolute_error 0.286111 mean_absolute_error 0.274745 mean_absolute_error 0.291145 mean_absolute_error 0.251188 mean_absolute_error 0.277823 mean_absolute_error 0.277611 mean_absolute_error 0.273875 mean_absolute_error 0.278157 mean_absolute_error 0.309682 mean_absolute_error 0.260148 mean_absolute_error 0.286077 mean_absolute_error 0.266279 mean_absolute_error 0.276267 mean_absolute_error 0.302987 mean_absolute_error 0.291144 mean_absolute_error 0.267612 mean_absolute_error 0.301894 mean_absolute_error 0.268821 mean_absolute_error 0.28627 mean_absolute_error 0.306168 mean_absolute_error 0.290812 mean_absolute_error 0.295655 mean_absolute_error 0.266152 mean_absolute_error 0.295702 mean_absolute_error 0.284994 mean_absolute_error 0.268146 mean_absolute_error 0.287784 mean_absolute_error 0.283977 mean_absolute_error 0.281687 mean_absolute_error 0.27165 mean_absolute_error 0.281542 mean_absolute_error 0.279343 mean_absolute_error 0.25602 mean_absolute_error 0.28942 mean_absolute_error 0.283863 mean_absolute_error 0.284732 mean_absolute_error 0.267319 mean_absolute_error 0.275212 mean_absolute_error 0.270325 mean_absolute_error 0.277293 mean_absolute_error 0.277488 mean_absolute_error 0.291775 mean_absolute_error 0.29092 mean_absolute_error 0.284978 mean_absolute_error 0.290233 mean_absolute_error 0.26521 mean_absolute_error 0.287218 mean_absolute_error 0.26364 mean_absolute_error 0.267387 mean_absolute_error 0.277374 mean_absolute_error 0.27882 mean_absolute_error 0.280769 mean_absolute_error 0.284361 mean_absolute_error 0.265206 mean_absolute_error 0.292894 mean_absolute_error 0.277884 mean_absolute_error 0.279642 mean_absolute_error 0.283332 mean_absolute_error 0.281711 mean_absolute_error 0.277808 mean_absolute_error 0.267528 mean_absolute_error 0.272065 mean_absolute_error 0.280916 mean_absolute_error 0.271443 mean_absolute_error 0.267895 mean_absolute_error 0.283908 mean_absolute_error 0.289979 mean_absolute_error 0.286014 mean_absolute_error 0.275595 mean_absolute_error 0.291474 mean_absolute_error 0.29483 mean_absolute_error 0.276303 mean_absolute_error 0.299064 mean_absolute_error 0.289477 mean_absolute_error 0.27426 mean_absolute_error 0.291422 mean_absolute_error 0.275801 mean_absolute_error 0.268046 mean_absolute_error 0.256069 mean_absolute_error 0.280924 mean_absolute_error 0.266575 mean_absolute_error 0.276869 mean_absolute_error 0.277181 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] precision 0.789898 [0.800995,0.778802] precision 0.78864 [0.810256,0.766816] precision 0.801807 [0.830688,0.772926] precision 0.797526 [0.81407,0.780822] precision 0.795585 [0.815385,0.775785] precision 0.783081 [0.79798,0.768182] precision 0.78083 [0.796954,0.764706] precision 0.79565 [0.816327,0.774775] precision 0.778283 [0.792929,0.763636] precision 0.807232 [0.839572,0.774892] precision 0.787658 [0.800995,0.774194] precision 0.792451 [0.80597,0.778802] precision 0.78089 [0.79798,0.763636] precision 0.830792 [0.845771,0.815668] precision 0.765585 [0.769231,0.761905] precision 0.772909 [0.780488,0.765258] precision 0.785293 [0.772727,0.79798] precision 0.79011 [0.820106,0.759825] precision 0.789565 [0.816754,0.762115] precision 0.75529 [0.788043,0.722222] precision 0.832967 [0.863874,0.801762] precision 0.780165 [0.789216,0.771028] precision 0.758804 [0.748858,0.768844] precision 0.775241 [0.781553,0.768868] precision 0.796068 [0.819588,0.772321] precision 0.751829 [0.765,0.738532] precision 0.799519 [0.811881,0.787037] precision 0.789474 [0.790476,0.788462] precision 0.792729 [0.809045,0.776256] precision 0.789565 [0.816754,0.762115] precision 0.75529 [0.788043,0.722222] precision 0.783135 [0.798995,0.767123] precision 0.807328 [0.840426,0.773913] precision 0.750558 [0.772021,0.728889] precision 0.783832 [0.805128,0.762332] precision 0.790489 [0.808081,0.772727] precision 0.741661 [0.745192,0.738095] precision 0.767201 [0.78866,0.745536] precision 0.753175 [0.776042,0.730088] precision 0.801806 [0.812808,0.790698] precision 0.770335 [0.771429,0.769231] precision 0.768206 [0.760369,0.776119] precision 0.796662 [0.799043,0.794258] precision 0.780355 [0.792079,0.768519] precision 0.753762 [0.760976,0.746479] precision 0.778656 [0.796954,0.760181] precision 0.804886 [0.823232,0.786364] precision 0.787438 [0.79803,0.776744] precision 0.787093 [0.789474,0.784689] precision 0.820963 [0.832512,0.809302] precision 0.765954 [0.793651,0.737991] precision 0.788259 [0.807107,0.769231] precision 0.763948 [0.778894,0.748858] precision 0.820778 [0.829268,0.812207] precision 0.777764 [0.805263,0.75] precision 0.781665 [0.816216,0.746781] precision 0.782648 [0.793103,0.772093] precision 0.787155 [0.792271,0.781991] precision 0.764601 [0.784615,0.744395] precision 0.776823 [0.798969,0.754464] precision 0.787083 [0.78673,0.78744] precision 0.770955 [0.78392,0.757991] precision 0.811324 [0.801843,0.820896] precision 0.771553 [0.789744,0.753363] precision 0.789599 [0.796117,0.783019] precision 0.804238 [0.793578,0.815] precision 0.805466 [0.85,0.760504] precision 0.792033 [0.79902,0.785047] precision 0.789565 [0.816754,0.762115] precision 0.79194 [0.797101,0.78673] precision 0.789958 [0.807107,0.772727] precision 0.762264 [0.796703,0.72766] precision 0.786351 [0.811518,0.761062] precision 0.784181 [0.810526,0.757709] precision 0.80519 [0.829016,0.78125] precision 0.793852 [0.821053,0.76652] precision 0.803381 [0.800948,0.805825] precision 0.811058 [0.84127,0.780702] precision 0.808422 [0.817734,0.799065] precision 0.776987 [0.778846,0.77512] precision 0.796322 [0.78972,0.802956] precision 0.796737 [0.81,0.78341] precision 0.768464 [0.785714,0.751131] precision 0.784204 [0.78744,0.780952] precision 0.769894 [0.77561,0.764151] precision 0.785494 [0.805128,0.765766] precision 0.767502 [0.793651,0.741228] precision 0.755396 [0.755981,0.754808] precision 0.784393 [0.776744,0.792079] precision 0.753303 [0.762376,0.744186] precision 0.786351 [0.811518,0.761062] precision 0.791679 [0.782407,0.800995] precision 0.780448 [0.811828,0.748918] precision 0.811151 [0.825,0.797235] precision 0.78211 [0.792079,0.772093] precision 0.806977 [0.826531,0.78733] precision 0.782323 [0.795,0.769585] precision 0.81295 [0.813397,0.8125] precision 0.777151 [0.784314,0.769953] precision 0.775239 [0.788945,0.761468] predictive_accuracy 0.789474 predictive_accuracy 0.787081 predictive_accuracy 0.799043 predictive_accuracy 0.796651 predictive_accuracy 0.794258 predictive_accuracy 0.782297 predictive_accuracy 0.779904 predictive_accuracy 0.794258 predictive_accuracy 0.777512 predictive_accuracy 0.803828 predictive_accuracy 0.787081 predictive_accuracy 0.791866 predictive_accuracy 0.779904 predictive_accuracy 0.830144 predictive_accuracy 0.76555 predictive_accuracy 0.772727 predictive_accuracy 0.784689 predictive_accuracy 0.787081 predictive_accuracy 0.787081 predictive_accuracy 0.751196 predictive_accuracy 0.830144 predictive_accuracy 0.779904 predictive_accuracy 0.758373 predictive_accuracy 0.77512 predictive_accuracy 0.794258 predictive_accuracy 0.751196 predictive_accuracy 0.799043 predictive_accuracy 0.789474 predictive_accuracy 0.791866 predictive_accuracy 0.787081 predictive_accuracy 0.751196 predictive_accuracy 0.782297 predictive_accuracy 0.803828 predictive_accuracy 0.748804 predictive_accuracy 0.782297 predictive_accuracy 0.789474 predictive_accuracy 0.741627 predictive_accuracy 0.76555 predictive_accuracy 0.751196 predictive_accuracy 0.801435 predictive_accuracy 0.770335 predictive_accuracy 0.767943 predictive_accuracy 0.796651 predictive_accuracy 0.779904 predictive_accuracy 0.753589 predictive_accuracy 0.777512 predictive_accuracy 0.803828 predictive_accuracy 0.787081 predictive_accuracy 0.787081 predictive_accuracy 0.820574 predictive_accuracy 0.763158 predictive_accuracy 0.787081 predictive_accuracy 0.763158 predictive_accuracy 0.820574 predictive_accuracy 0.77512 predictive_accuracy 0.777512 predictive_accuracy 0.782297 predictive_accuracy 0.787081 predictive_accuracy 0.763158 predictive_accuracy 0.77512 predictive_accuracy 0.787081 predictive_accuracy 0.770335 predictive_accuracy 0.811005 predictive_accuracy 0.770335 predictive_accuracy 0.789474 predictive_accuracy 0.803828 predictive_accuracy 0.799043 predictive_accuracy 0.791866 predictive_accuracy 0.787081 predictive_accuracy 0.791866 predictive_accuracy 0.788969 predictive_accuracy 0.757794 predictive_accuracy 0.784173 predictive_accuracy 0.781775 predictive_accuracy 0.803357 predictive_accuracy 0.791367 predictive_accuracy 0.803357 predictive_accuracy 0.808153 predictive_accuracy 0.808153 predictive_accuracy 0.776978 predictive_accuracy 0.796163 predictive_accuracy 0.796163 predictive_accuracy 0.767386 predictive_accuracy 0.784173 predictive_accuracy 0.769784 predictive_accuracy 0.784173 predictive_accuracy 0.764988 predictive_accuracy 0.755396 predictive_accuracy 0.784173 predictive_accuracy 0.752998 predictive_accuracy 0.784173 predictive_accuracy 0.791367 predictive_accuracy 0.776978 predictive_accuracy 0.810552 predictive_accuracy 0.781775 predictive_accuracy 0.805755 predictive_accuracy 0.781775 predictive_accuracy 0.81295 predictive_accuracy 0.776978 predictive_accuracy 0.77458 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 recall 0.789474 [0.770335,0.808612] recall 0.787081 [0.752381,0.822115] recall 0.799043 [0.751196,0.84689] recall 0.796651 [0.771429,0.822115] recall 0.794258 [0.760766,0.827751] recall 0.782297 [0.755981,0.808612] recall 0.779904 [0.751196,0.808612] recall 0.794258 [0.761905,0.826923] recall 0.777512 [0.751196,0.803828] recall 0.803828 [0.751196,0.856459] recall 0.787081 [0.766667,0.807692] recall 0.791866 [0.771429,0.8125] recall 0.779904 [0.752381,0.807692] recall 0.830144 [0.809524,0.850962] recall 0.76555 [0.761905,0.769231] recall 0.772727 [0.761905,0.783654] recall 0.784689 [0.809524,0.759615] recall 0.787081 [0.738095,0.836538] recall 0.787081 [0.742857,0.831731] recall 0.751196 [0.690476,0.8125] recall 0.830144 [0.785714,0.875] recall 0.779904 [0.766667,0.793269] recall 0.758373 [0.780952,0.735577] recall 0.77512 [0.766667,0.783654] recall 0.794258 [0.757143,0.831731] recall 0.751196 [0.728571,0.774038] recall 0.799043 [0.780952,0.817308] recall 0.789474 [0.790476,0.788462] recall 0.791866 [0.766667,0.817308] recall 0.787081 [0.742857,0.831731] recall 0.751196 [0.690476,0.8125] recall 0.782297 [0.757143,0.807692] recall 0.803828 [0.752381,0.855769] recall 0.748804 [0.709524,0.788462] recall 0.782297 [0.747619,0.817308] recall 0.789474 [0.761905,0.817308] recall 0.741627 [0.738095,0.745192] recall 0.76555 [0.728571,0.802885] recall 0.751196 [0.709524,0.793269] recall 0.801435 [0.785714,0.817308] recall 0.770335 [0.771429,0.769231] recall 0.767943 [0.785714,0.75] recall 0.796651 [0.795238,0.798077] recall 0.779904 [0.761905,0.798077] recall 0.753589 [0.742857,0.764423] recall 0.777512 [0.747619,0.807692] recall 0.803828 [0.77619,0.831731] recall 0.787081 [0.771429,0.802885] recall 0.787081 [0.785714,0.788462] recall 0.820574 [0.804762,0.836538] recall 0.763158 [0.714286,0.8125] recall 0.787081 [0.757143,0.817308] recall 0.763158 [0.738095,0.788462] recall 0.820574 [0.809524,0.831731] recall 0.77512 [0.728571,0.822115] recall 0.777512 [0.719048,0.836538] recall 0.782297 [0.766667,0.798077] recall 0.787081 [0.780952,0.793269] recall 0.763158 [0.728571,0.798077] recall 0.77512 [0.738095,0.8125] recall 0.787081 [0.790476,0.783654] recall 0.770335 [0.746411,0.794258] recall 0.811005 [0.828571,0.793269] recall 0.770335 [0.736842,0.803828] recall 0.789474 [0.780952,0.798077] recall 0.803828 [0.82381,0.783654] recall 0.799043 [0.728571,0.870192] recall 0.791866 [0.779904,0.803828] recall 0.787081 [0.742857,0.831731] recall 0.791866 [0.785714,0.798077] recall 0.788969 [0.760766,0.817308] recall 0.757794 [0.69378,0.822115] recall 0.784173 [0.741627,0.826923] recall 0.781775 [0.736842,0.826923] recall 0.803357 [0.76555,0.841346] recall 0.791367 [0.746411,0.836538] recall 0.803357 [0.808612,0.798077] recall 0.808153 [0.760766,0.855769] recall 0.808153 [0.794258,0.822115] recall 0.776978 [0.77512,0.778846] recall 0.796163 [0.808612,0.783654] recall 0.796163 [0.77512,0.817308] recall 0.767386 [0.736842,0.798077] recall 0.784173 [0.779904,0.788462] recall 0.769784 [0.760766,0.778846] recall 0.784173 [0.751196,0.817308] recall 0.764988 [0.717703,0.8125] recall 0.755396 [0.755981,0.754808] recall 0.784173 [0.799043,0.769231] recall 0.752998 [0.736842,0.769231] recall 0.784173 [0.741627,0.826923] recall 0.791367 [0.808612,0.774038] recall 0.776978 [0.722488,0.831731] recall 0.810552 [0.789474,0.831731] recall 0.781775 [0.76555,0.798077] recall 0.805755 [0.77512,0.836538] recall 0.781775 [0.760766,0.802885] recall 0.81295 [0.813397,0.8125] recall 0.776978 [0.76555,0.788462] recall 0.77458 [0.751196,0.798077] relative_absolute_error 0.535942 relative_absolute_error 0.540421 relative_absolute_error 0.566532 relative_absolute_error 0.54279 relative_absolute_error 0.557357 relative_absolute_error 0.561281 relative_absolute_error 0.561188 relative_absolute_error 0.523388 relative_absolute_error 0.553468 relative_absolute_error 0.54008 relative_absolute_error 0.556557 relative_absolute_error 0.538402 relative_absolute_error 0.591188 relative_absolute_error 0.50479 relative_absolute_error 0.583437 relative_absolute_error 0.567159 relative_absolute_error 0.555066 relative_absolute_error 0.572232 relative_absolute_error 0.549499 relative_absolute_error 0.582299 relative_absolute_error 0.502385 relative_absolute_error 0.555655 relative_absolute_error 0.555232 relative_absolute_error 0.54776 relative_absolute_error 0.556324 relative_absolute_error 0.619375 relative_absolute_error 0.520305 relative_absolute_error 0.572163 relative_absolute_error 0.532567 relative_absolute_error 0.552543 relative_absolute_error 0.605984 relative_absolute_error 0.582299 relative_absolute_error 0.535234 relative_absolute_error 0.603799 relative_absolute_error 0.537651 relative_absolute_error 0.572549 relative_absolute_error 0.612346 relative_absolute_error 0.581634 relative_absolute_error 0.591321 relative_absolute_error 0.532314 relative_absolute_error 0.591414 relative_absolute_error 0.569997 relative_absolute_error 0.5363 relative_absolute_error 0.575578 relative_absolute_error 0.567963 relative_absolute_error 0.563384 relative_absolute_error 0.543308 relative_absolute_error 0.563093 relative_absolute_error 0.558695 relative_absolute_error 0.51205 relative_absolute_error 0.578851 relative_absolute_error 0.567736 relative_absolute_error 0.569473 relative_absolute_error 0.534647 relative_absolute_error 0.550433 relative_absolute_error 0.540659 relative_absolute_error 0.554595 relative_absolute_error 0.554985 relative_absolute_error 0.583559 relative_absolute_error 0.58185 relative_absolute_error 0.569966 relative_absolute_error 0.580466 relative_absolute_error 0.530429 relative_absolute_error 0.574435 relative_absolute_error 0.52729 relative_absolute_error 0.534784 relative_absolute_error 0.554757 relative_absolute_error 0.557641 relative_absolute_error 0.561548 relative_absolute_error 0.568731 relative_absolute_error 0.530416 relative_absolute_error 0.585794 relative_absolute_error 0.555772 relative_absolute_error 0.559289 relative_absolute_error 0.56667 relative_absolute_error 0.563428 relative_absolute_error 0.555621 relative_absolute_error 0.535061 relative_absolute_error 0.544135 relative_absolute_error 0.561837 relative_absolute_error 0.54289 relative_absolute_error 0.535794 relative_absolute_error 0.56782 relative_absolute_error 0.579963 relative_absolute_error 0.572034 relative_absolute_error 0.551194 relative_absolute_error 0.582952 relative_absolute_error 0.589665 relative_absolute_error 0.55261 relative_absolute_error 0.598134 relative_absolute_error 0.578958 relative_absolute_error 0.548524 relative_absolute_error 0.582848 relative_absolute_error 0.551606 relative_absolute_error 0.536097 relative_absolute_error 0.512142 relative_absolute_error 0.561853 relative_absolute_error 0.533155 relative_absolute_error 0.553743 relative_absolute_error 0.554367 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_squared_error 0.367274 root_mean_squared_error 0.378132 root_mean_squared_error 0.383443 root_mean_squared_error 0.375592 root_mean_squared_error 0.379074 root_mean_squared_error 0.386848 root_mean_squared_error 0.388731 root_mean_squared_error 0.372074 root_mean_squared_error 0.38272 root_mean_squared_error 0.362888 root_mean_squared_error 0.381954 root_mean_squared_error 0.379334 root_mean_squared_error 0.39897 root_mean_squared_error 0.349706 root_mean_squared_error 0.393535 root_mean_squared_error 0.387511 root_mean_squared_error 0.380343 root_mean_squared_error 0.388915 root_mean_squared_error 0.379661 root_mean_squared_error 0.399394 root_mean_squared_error 0.34703 root_mean_squared_error 0.379438 root_mean_squared_error 0.378756 root_mean_squared_error 0.383072 root_mean_squared_error 0.379789 root_mean_squared_error 0.419162 root_mean_squared_error 0.365872 root_mean_squared_error 0.387077 root_mean_squared_error 0.373299 root_mean_squared_error 0.379706 root_mean_squared_error 0.406637 root_mean_squared_error 0.392691 root_mean_squared_error 0.367492 root_mean_squared_error 0.409012 root_mean_squared_error 0.372081 root_mean_squared_error 0.386981 root_mean_squared_error 0.421104 root_mean_squared_error 0.399471 root_mean_squared_error 0.403963 root_mean_squared_error 0.368713 root_mean_squared_error 0.398875 root_mean_squared_error 0.386435 root_mean_squared_error 0.380416 root_mean_squared_error 0.39082 root_mean_squared_error 0.389232 root_mean_squared_error 0.389068 root_mean_squared_error 0.376587 root_mean_squared_error 0.38221 root_mean_squared_error 0.382567 root_mean_squared_error 0.357695 root_mean_squared_error 0.394767 root_mean_squared_error 0.38517 root_mean_squared_error 0.389019 root_mean_squared_error 0.373184 root_mean_squared_error 0.371941 root_mean_squared_error 0.37515 root_mean_squared_error 0.380884 root_mean_squared_error 0.3726 root_mean_squared_error 0.396006 root_mean_squared_error 0.392257 root_mean_squared_error 0.387011 root_mean_squared_error 0.387487 root_mean_squared_error 0.367266 root_mean_squared_error 0.39465 root_mean_squared_error 0.36895 root_mean_squared_error 0.370839 root_mean_squared_error 0.37349 root_mean_squared_error 0.386552 root_mean_squared_error 0.380317 root_mean_squared_error 0.388858 root_mean_squared_error 0.37129 root_mean_squared_error 0.394779 root_mean_squared_error 0.376146 root_mean_squared_error 0.378933 root_mean_squared_error 0.382199 root_mean_squared_error 0.376808 root_mean_squared_error 0.372652 root_mean_squared_error 0.375408 root_mean_squared_error 0.366021 root_mean_squared_error 0.390264 root_mean_squared_error 0.374965 root_mean_squared_error 0.375163 root_mean_squared_error 0.389037 root_mean_squared_error 0.390587 root_mean_squared_error 0.389792 root_mean_squared_error 0.371648 root_mean_squared_error 0.398857 root_mean_squared_error 0.399758 root_mean_squared_error 0.376735 root_mean_squared_error 0.407505 root_mean_squared_error 0.397153 root_mean_squared_error 0.382619 root_mean_squared_error 0.403055 root_mean_squared_error 0.378028 root_mean_squared_error 0.378668 root_mean_squared_error 0.364341 root_mean_squared_error 0.379857 root_mean_squared_error 0.364542 root_mean_squared_error 0.3786 root_mean_squared_error 0.385383 root_relative_squared_error 0.734543 root_relative_squared_error 0.756271 root_relative_squared_error 0.76688 root_relative_squared_error 0.751192 root_relative_squared_error 0.758144 root_relative_squared_error 0.773692 root_relative_squared_error 0.777457 root_relative_squared_error 0.744156 root_relative_squared_error 0.765436 root_relative_squared_error 0.725772 root_relative_squared_error 0.763916 root_relative_squared_error 0.758677 root_relative_squared_error 0.797948 root_relative_squared_error 0.69942 root_relative_squared_error 0.787079 root_relative_squared_error 0.775031 root_relative_squared_error 0.760695 root_relative_squared_error 0.777838 root_relative_squared_error 0.759329 root_relative_squared_error 0.798796 root_relative_squared_error 0.694068 root_relative_squared_error 0.758883 root_relative_squared_error 0.75752 root_relative_squared_error 0.766152 root_relative_squared_error 0.759585 root_relative_squared_error 0.838333 root_relative_squared_error 0.731752 root_relative_squared_error 0.774162 root_relative_squared_error 0.746606 root_relative_squared_error 0.75942 root_relative_squared_error 0.813283 root_relative_squared_error 0.785391 root_relative_squared_error 0.734991 root_relative_squared_error 0.818033 root_relative_squared_error 0.744171 root_relative_squared_error 0.773969 root_relative_squared_error 0.842217 root_relative_squared_error 0.79895 root_relative_squared_error 0.807934 root_relative_squared_error 0.737433 root_relative_squared_error 0.79776 root_relative_squared_error 0.772879 root_relative_squared_error 0.760841 root_relative_squared_error 0.781649 root_relative_squared_error 0.778472 root_relative_squared_error 0.778145 root_relative_squared_error 0.753181 root_relative_squared_error 0.764429 root_relative_squared_error 0.765142 root_relative_squared_error 0.715399 root_relative_squared_error 0.789542 root_relative_squared_error 0.770347 root_relative_squared_error 0.778046 root_relative_squared_error 0.746376 root_relative_squared_error 0.74389 root_relative_squared_error 0.750308 root_relative_squared_error 0.761776 root_relative_squared_error 0.745207 root_relative_squared_error 0.79202 root_relative_squared_error 0.784522 root_relative_squared_error 0.77403 root_relative_squared_error 0.774969 root_relative_squared_error 0.73454 root_relative_squared_error 0.789295 root_relative_squared_error 0.737907 root_relative_squared_error 0.741686 root_relative_squared_error 0.746987 root_relative_squared_error 0.773099 root_relative_squared_error 0.760643 root_relative_squared_error 0.777724 root_relative_squared_error 0.742582 root_relative_squared_error 0.789559 root_relative_squared_error 0.752293 root_relative_squared_error 0.757867 root_relative_squared_error 0.7644 root_relative_squared_error 0.753617 root_relative_squared_error 0.745305 root_relative_squared_error 0.750819 root_relative_squared_error 0.732043 root_relative_squared_error 0.780529 root_relative_squared_error 0.749933 root_relative_squared_error 0.750328 root_relative_squared_error 0.778076 root_relative_squared_error 0.781176 root_relative_squared_error 0.779585 root_relative_squared_error 0.743297 root_relative_squared_error 0.797716 root_relative_squared_error 0.799517 root_relative_squared_error 0.753471 root_relative_squared_error 0.815012 root_relative_squared_error 0.794308 root_relative_squared_error 0.76524 root_relative_squared_error 0.806112 root_relative_squared_error 0.756058 root_relative_squared_error 0.757338 root_relative_squared_error 0.728683 root_relative_squared_error 0.759715 root_relative_squared_error 0.729085 root_relative_squared_error 0.757201 root_relative_squared_error 0.770767 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 1490 usercpu_time_millis 1420 usercpu_time_millis 1460 usercpu_time_millis 1460 usercpu_time_millis 1480 usercpu_time_millis 1470 usercpu_time_millis 1480 usercpu_time_millis 1480 usercpu_time_millis 1510 usercpu_time_millis 1440 usercpu_time_millis 1490 usercpu_time_millis 1450 usercpu_time_millis 1420 usercpu_time_millis 1460 usercpu_time_millis 1430 usercpu_time_millis 1480 usercpu_time_millis 1430 usercpu_time_millis 1380 usercpu_time_millis 1480 usercpu_time_millis 1450 usercpu_time_millis 1470 usercpu_time_millis 1510 usercpu_time_millis 1450 usercpu_time_millis 1570 usercpu_time_millis 1460 usercpu_time_millis 1440 usercpu_time_millis 1490 usercpu_time_millis 1470 usercpu_time_millis 1490 usercpu_time_millis 1470 usercpu_time_millis 1490 usercpu_time_millis 1500 usercpu_time_millis 1460 usercpu_time_millis 1430 usercpu_time_millis 1470 usercpu_time_millis 1510 usercpu_time_millis 1380 usercpu_time_millis 1490 usercpu_time_millis 1480 usercpu_time_millis 1510 usercpu_time_millis 1440 usercpu_time_millis 1490 usercpu_time_millis 1420 usercpu_time_millis 1430 usercpu_time_millis 1460 usercpu_time_millis 1490 usercpu_time_millis 1430 usercpu_time_millis 1470 usercpu_time_millis 1460 usercpu_time_millis 1480 usercpu_time_millis 1510 usercpu_time_millis 1470 usercpu_time_millis 1470 usercpu_time_millis 1440 usercpu_time_millis 1470 usercpu_time_millis 1460 usercpu_time_millis 1470 usercpu_time_millis 1440 usercpu_time_millis 1450 usercpu_time_millis 1470 usercpu_time_millis 1460 usercpu_time_millis 1430 usercpu_time_millis 1470 usercpu_time_millis 1420 usercpu_time_millis 1530 usercpu_time_millis 1480 usercpu_time_millis 1510 usercpu_time_millis 1460 usercpu_time_millis 1470 usercpu_time_millis 1430 usercpu_time_millis 1470 usercpu_time_millis 1440 usercpu_time_millis 1490 usercpu_time_millis 1420 usercpu_time_millis 1420 usercpu_time_millis 1480 usercpu_time_millis 1490 usercpu_time_millis 1440 usercpu_time_millis 1480 usercpu_time_millis 1470 usercpu_time_millis 1400 usercpu_time_millis 1490 usercpu_time_millis 1490 usercpu_time_millis 1480 usercpu_time_millis 1480 usercpu_time_millis 1510 usercpu_time_millis 1460 usercpu_time_millis 1450 usercpu_time_millis 1460 usercpu_time_millis 1450 usercpu_time_millis 1400 usercpu_time_millis 1470 usercpu_time_millis 1490 usercpu_time_millis 1400 usercpu_time_millis 1450 usercpu_time_millis 1520 usercpu_time_millis 1460 usercpu_time_millis 1450 usercpu_time_millis 1450 usercpu_time_millis 1480 usercpu_time_millis_testing 30 usercpu_time_millis_testing 30 usercpu_time_millis_testing 20 usercpu_time_millis_testing 30 usercpu_time_millis_testing 30 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 30 usercpu_time_millis_testing 30 usercpu_time_millis_testing 30 usercpu_time_millis_testing 20 usercpu_time_millis_testing 30 usercpu_time_millis_testing 30 usercpu_time_millis_testing 40 usercpu_time_millis_testing 20 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