440720 2 Joaquin Vanschoren 4312 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_3.7.12 741 rmftsa_sleepdata https://www.openml.org/data/download/53275/rmftsa_sleepdata.arff -1 1542559 description https://api.openml.org/data/download/1542559/weka_generated_run3807811105556543642.xml -1 1542562 model_readable https://api.openml.org/data/download/1542562/WekaModel_weka.classifiers.trees.RandomForest6741017585120258084.model -1 1542561 model_serialized https://api.openml.org/data/download/1542561/WekaSerialized_weka.classifiers.trees.RandomForest6473380139308810531.model -1 1542560 predictions https://api.openml.org/data/download/1542560/weka_generated_predictions2138069135408045501.arff area_under_roc_curve 0.775592 [0.775592,0.775592] average_cost 0 f_measure 0.702028 [0.70393,0.700147] kappa 0.404166 kb_relative_information_score 3453.38944 mean_absolute_error 0.337948 mean_prior_absolute_error 0.499983 number_of_instances 10240 [5090,5150] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.702214 [0.695494,0.708856] predictive_accuracy 0.702051 prior_entropy 0.999975 recall 0.702051 [0.712574,0.69165] relative_absolute_error 0.67592 root_mean_prior_squared_error 0.499991 root_mean_squared_error 0.452123 root_relative_squared_error 0.904262 scimark_benchmark 901.499062 [554.7839091511904, 1006.5056202244749, 476.16042993692383, 905.1933987820893, 1564.8519536990664] total_cost 0 usercpu_time_millis 170 usercpu_time_millis_testing 40 usercpu_time_millis_training 130 area_under_roc_curve 0.811086 [0.811086,0.811086] area_under_roc_curve 0.798265 [0.798265,0.798265] area_under_roc_curve 0.696644 [0.696644,0.696644] area_under_roc_curve 0.81825 [0.81825,0.81825] area_under_roc_curve 0.796946 [0.796946,0.796946] area_under_roc_curve 0.813914 [0.813914,0.813914] area_under_roc_curve 0.741139 [0.741139,0.741139] area_under_roc_curve 0.838612 [0.838612,0.838612] area_under_roc_curve 0.794872 [0.794872,0.794872] area_under_roc_curve 0.736991 [0.736991,0.736991] area_under_roc_curve 0.812029 [0.812029,0.812029] area_under_roc_curve 0.750377 [0.750377,0.750377] area_under_roc_curve 0.855392 [0.855392,0.855392] area_under_roc_curve 0.683069 [0.683069,0.683069] area_under_roc_curve 0.767534 [0.767534,0.767534] area_under_roc_curve 0.713989 [0.713989,0.713989] area_under_roc_curve 0.737179 [0.737179,0.737179] area_under_roc_curve 0.787142 [0.787142,0.787142] area_under_roc_curve 0.759992 [0.759992,0.759992] area_under_roc_curve 0.872549 [0.872549,0.872549] area_under_roc_curve 0.765083 [0.765083,0.765083] area_under_roc_curve 0.81448 [0.81448,0.81448] area_under_roc_curve 0.783937 [0.783937,0.783937] area_under_roc_curve 0.814857 [0.814857,0.814857] area_under_roc_curve 0.736048 [0.736048,0.736048] area_under_roc_curve 0.701357 [0.701357,0.701357] area_under_roc_curve 0.746041 [0.746041,0.746041] area_under_roc_curve 0.768477 [0.768477,0.768477] area_under_roc_curve 0.763198 [0.763198,0.763198] area_under_roc_curve 0.832202 [0.832202,0.832202] area_under_roc_curve 0.792044 [0.792044,0.792044] area_under_roc_curve 0.695136 [0.695136,0.695136] area_under_roc_curve 0.794118 [0.794118,0.794118] area_under_roc_curve 0.812029 [0.812029,0.812029] area_under_roc_curve 0.821267 [0.821267,0.821267] area_under_roc_curve 0.778846 [0.778846,0.778846] area_under_roc_curve 0.809766 [0.809766,0.809766] area_under_roc_curve 0.693062 [0.693062,0.693062] area_under_roc_curve 0.715875 [0.715875,0.715875] area_under_roc_curve 0.838047 [0.838047,0.838047] area_under_roc_curve 0.823722 [0.823722,0.823722] area_under_roc_curve 0.770473 [0.770473,0.770473] area_under_roc_curve 0.793541 [0.793541,0.793541] area_under_roc_curve 0.709038 [0.709038,0.709038] area_under_roc_curve 0.786731 [0.786731,0.786731] area_under_roc_curve 0.775087 [0.775087,0.775087] area_under_roc_curve 0.791731 [0.791731,0.791731] area_under_roc_curve 0.776923 [0.776923,0.776923] area_under_roc_curve 0.80123 [0.80123,0.80123] area_under_roc_curve 0.803922 [0.803922,0.803922] area_under_roc_curve 0.747982 [0.747982,0.747982] area_under_roc_curve 0.791042 [0.791042,0.791042] area_under_roc_curve 0.709919 [0.709919,0.709919] area_under_roc_curve 0.773356 [0.773356,0.773356] area_under_roc_curve 0.821223 [0.821223,0.821223] area_under_roc_curve 0.780661 [0.780661,0.780661] area_under_roc_curve 0.785083 [0.785083,0.785083] area_under_roc_curve 0.800269 [0.800269,0.800269] area_under_roc_curve 0.804498 [0.804498,0.804498] area_under_roc_curve 0.768551 [0.768551,0.768551] area_under_roc_curve 0.776048 [0.776048,0.776048] area_under_roc_curve 0.829296 [0.829296,0.829296] area_under_roc_curve 0.768551 [0.768551,0.768551] area_under_roc_curve 0.76682 [0.76682,0.76682] area_under_roc_curve 0.817762 [0.817762,0.817762] area_under_roc_curve 0.845636 [0.845636,0.845636] area_under_roc_curve 0.772587 [0.772587,0.772587] area_under_roc_curve 0.724529 [0.724529,0.724529] area_under_roc_curve 0.813725 [0.813725,0.813725] area_under_roc_curve 0.771819 [0.771819,0.771819] area_under_roc_curve 0.787005 [0.787005,0.787005] area_under_roc_curve 0.702999 [0.702999,0.702999] area_under_roc_curve 0.795848 [0.795848,0.795848] area_under_roc_curve 0.789504 [0.789504,0.789504] area_under_roc_curve 0.729912 [0.729912,0.729912] area_under_roc_curve 0.706075 [0.706075,0.706075] area_under_roc_curve 0.806228 [0.806228,0.806228] area_under_roc_curve 0.808343 [0.808343,0.808343] area_under_roc_curve 0.726067 [0.726067,0.726067] area_under_roc_curve 0.720684 [0.720684,0.720684] area_under_roc_curve 0.743752 [0.743752,0.743752] area_under_roc_curve 0.89927 [0.89927,0.89927] area_under_roc_curve 0.736255 [0.736255,0.736255] area_under_roc_curve 0.80892 [0.80892,0.80892] area_under_roc_curve 0.723376 [0.723376,0.723376] area_under_roc_curve 0.787774 [0.787774,0.787774] area_under_roc_curve 0.824491 [0.824491,0.824491] area_under_roc_curve 0.827182 [0.827182,0.827182] area_under_roc_curve 0.797193 [0.797193,0.797193] area_under_roc_curve 0.753364 [0.753364,0.753364] area_under_roc_curve 0.7925 [0.7925,0.7925] area_under_roc_curve 0.768462 [0.768462,0.768462] area_under_roc_curve 0.815385 [0.815385,0.815385] area_under_roc_curve 0.699923 [0.699923,0.699923] area_under_roc_curve 0.813918 [0.813918,0.813918] area_under_roc_curve 0.777115 [0.777115,0.777115] area_under_roc_curve 0.786236 [0.786236,0.786236] area_under_roc_curve 0.738754 [0.738754,0.738754] area_under_roc_curve 0.763269 [0.763269,0.763269] area_under_roc_curve 0.718077 [0.718077,0.718077] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.708738 [0.705882,0.711538] f_measure 0.728001 [0.72,0.735849] f_measure 0.657284 [0.623656,0.690265] f_measure 0.708187 [0.693878,0.722222] f_measure 0.737567 [0.727273,0.747664] f_measure 0.712768 [0.752137,0.674157] f_measure 0.687196 [0.659574,0.714286] f_measure 0.74743 [0.74,0.754717] f_measure 0.766858 [0.76,0.773585] f_measure 0.638324 [0.666667,0.610526] f_measure 0.747096 [0.734694,0.759259] f_measure 0.698972 [0.693069,0.704762] f_measure 0.756593 [0.742268,0.770642] f_measure 0.611211 [0.622642,0.6] f_measure 0.688969 [0.698113,0.68] f_measure 0.621359 [0.621359,0.621359] f_measure 0.68932 [0.686275,0.692308] f_measure 0.688733 [0.673469,0.703704] f_measure 0.699029 [0.699029,0.699029] f_measure 0.737567 [0.727273,0.747664] f_measure 0.67943 [0.685714,0.673267] f_measure 0.727848 [0.735849,0.72] f_measure 0.697834 [0.715596,0.680412] f_measure 0.707193 [0.727273,0.6875] f_measure 0.67943 [0.685714,0.673267] f_measure 0.640709 [0.633663,0.647619] f_measure 0.669841 [0.673077,0.666667] f_measure 0.689262 [0.692308,0.686275] f_measure 0.679551 [0.673267,0.685714] f_measure 0.746234 [0.763636,0.729167] f_measure 0.728155 [0.72549,0.730769] f_measure 0.650485 [0.647059,0.653846] f_measure 0.696974 [0.720721,0.673684] f_measure 0.766858 [0.76,0.773585] f_measure 0.76655 [0.755102,0.777778] f_measure 0.697834 [0.715596,0.680412] f_measure 0.708738 [0.705882,0.711538] f_measure 0.658844 [0.678899,0.639175] f_measure 0.66013 [0.653465,0.666667] f_measure 0.776657 [0.772277,0.780952] f_measure 0.744705 [0.754717,0.734694] f_measure 0.67619 [0.666667,0.685714] f_measure 0.714341 [0.733945,0.694737] f_measure 0.646243 [0.660377,0.632653] f_measure 0.676377 [0.666667,0.685714] f_measure 0.705429 [0.693878,0.716981] f_measure 0.754548 [0.742268,0.766355] f_measure 0.686275 [0.686275,0.686275] f_measure 0.705769 [0.711538,0.7] f_measure 0.705769 [0.7,0.711538] f_measure 0.705429 [0.716981,0.693878] f_measure 0.764615 [0.76,0.769231] f_measure 0.686154 [0.692308,0.68] f_measure 0.685185 [0.703704,0.666667] f_measure 0.724537 [0.740741,0.708333] f_measure 0.704861 [0.6875,0.722222] f_measure 0.693694 [0.720721,0.666667] f_measure 0.725385 [0.730769,0.72] f_measure 0.725067 [0.735849,0.714286] f_measure 0.705769 [0.7,0.711538] f_measure 0.666538 [0.673077,0.66] f_measure 0.744213 [0.759259,0.729167] f_measure 0.72549 [0.72549,0.72549] f_measure 0.695815 [0.686869,0.704762] f_measure 0.793939 [0.8,0.787879] f_measure 0.754878 [0.752475,0.757282] f_measure 0.661988 [0.701754,0.622222] f_measure 0.666538 [0.673077,0.66] f_measure 0.735065 [0.742857,0.727273] f_measure 0.725067 [0.714286,0.735849] f_measure 0.676439 [0.673267,0.679612] f_measure 0.646923 [0.64,0.653846] f_measure 0.695815 [0.704762,0.686869] f_measure 0.704861 [0.6875,0.722222] f_measure 0.680251 [0.636364,0.724138] f_measure 0.627308 [0.62,0.634615] f_measure 0.735065 [0.742857,0.727273] f_measure 0.715659 [0.712871,0.718447] f_measure 0.685791 [0.698113,0.673469] f_measure 0.666667 [0.666667,0.666667] f_measure 0.666153 [0.679245,0.653061] f_measure 0.832932 [0.841121,0.824742] f_measure 0.666153 [0.679245,0.653061] f_measure 0.735269 [0.737864,0.732673] f_measure 0.636941 [0.647619,0.626263] f_measure 0.71544 [0.72381,0.707071] f_measure 0.734042 [0.715789,0.752294] f_measure 0.725385 [0.730769,0.72] f_measure 0.725067 [0.735849,0.714286] f_measure 0.673932 [0.702703,0.645161] f_measure 0.724855 [0.708333,0.740741] f_measure 0.671971 [0.707965,0.637363] f_measure 0.725279 [0.714286,0.735849] f_measure 0.627308 [0.62,0.634615] f_measure 0.725067 [0.735849,0.714286] f_measure 0.705882 [0.705882,0.705882] f_measure 0.67619 [0.685714,0.666667] f_measure 0.645833 [0.666667,0.625] f_measure 0.66641 [0.673077,0.66] f_measure 0.656896 [0.653465,0.660194] kappa 0.417421 kappa 0.456054 kappa 0.319169 kappa 0.416981 kappa 0.475382 kappa 0.438428 kappa 0.377644 kappa 0.494908 kappa 0.533761 kappa 0.282703 kappa 0.494717 kappa 0.397888 kappa 0.514059 kappa 0.223813 kappa 0.37905 kappa 0.24279 kappa 0.378582 kappa 0.378113 kappa 0.398115 kappa 0.475382 kappa 0.359525 kappa 0.456669 kappa 0.398795 kappa 0.418298 kappa 0.359525 kappa 0.28135 kappa 0.339992 kappa 0.378816 kappa 0.359042 kappa 0.495858 kappa 0.456259 kappa 0.300905 kappa 0.399021 kappa 0.533761 kappa 0.533585 kappa 0.398795 kappa 0.417421 kappa 0.32122 kappa 0.320196 kappa 0.553272 kappa 0.490196 kappa 0.352941 kappa 0.431373 kappa 0.295472 kappa 0.352443 kappa 0.411765 kappa 0.509049 kappa 0.37279 kappa 0.411765 kappa 0.411765 kappa 0.411765 kappa 0.529412 kappa 0.372549 kappa 0.372549 kappa 0.45098 kappa 0.411765 kappa 0.392157 kappa 0.45098 kappa 0.45098 kappa 0.411765 kappa 0.333333 kappa 0.490196 kappa 0.45098 kappa 0.392157 kappa 0.588235 kappa 0.509804 kappa 0.333333 kappa 0.333333 kappa 0.470588 kappa 0.45098 kappa 0.352941 kappa 0.294118 kappa 0.392157 kappa 0.411765 kappa 0.372549 kappa 0.254902 kappa 0.470588 kappa 0.431373 kappa 0.372549 kappa 0.333333 kappa 0.333333 kappa 0.666667 kappa 0.333333 kappa 0.470588 kappa 0.27451 kappa 0.431373 kappa 0.470588 kappa 0.45098 kappa 0.45098 kappa 0.352941 kappa 0.449923 kappa 0.355913 kappa 0.450346 kappa 0.254902 kappa 0.45098 kappa 0.411991 kappa 0.352941 kappa 0.294118 kappa 0.334101 kappa 0.313725 kb_relative_information_score 36.412712 kb_relative_information_score 37.467673 kb_relative_information_score 24.279678 kb_relative_information_score 42.17075 kb_relative_information_score 38.052571 kb_relative_information_score 35.795812 kb_relative_information_score 30.445156 kb_relative_information_score 43.009256 kb_relative_information_score 40.131379 kb_relative_information_score 30.408944 kb_relative_information_score 38.748008 kb_relative_information_score 30.701571 kb_relative_information_score 42.186483 kb_relative_information_score 21.910926 kb_relative_information_score 33.940246 kb_relative_information_score 27.906574 kb_relative_information_score 29.815286 kb_relative_information_score 36.950519 kb_relative_information_score 31.388077 kb_relative_information_score 46.035572 kb_relative_information_score 32.788344 kb_relative_information_score 40.595041 kb_relative_information_score 37.42551 kb_relative_information_score 36.66727 kb_relative_information_score 30.46805 kb_relative_information_score 22.743511 kb_relative_information_score 29.15901 kb_relative_information_score 32.550613 kb_relative_information_score 31.783629 kb_relative_information_score 40.914639 kb_relative_information_score 38.408818 kb_relative_information_score 24.576596 kb_relative_information_score 38.129947 kb_relative_information_score 40.468193 kb_relative_information_score 41.146106 kb_relative_information_score 32.651383 kb_relative_information_score 40.56662 kb_relative_information_score 23.424011 kb_relative_information_score 28.112194 kb_relative_information_score 43.830824 kb_relative_information_score 42.584778 kb_relative_information_score 32.333911 kb_relative_information_score 37.620703 kb_relative_information_score 25.523121 kb_relative_information_score 34.137398 kb_relative_information_score 34.376396 kb_relative_information_score 38.595642 kb_relative_information_score 36.129583 kb_relative_information_score 36.964368 kb_relative_information_score 37.976876 kb_relative_information_score 30.657853 kb_relative_information_score 35.765369 kb_relative_information_score 25.666569 kb_relative_information_score 33.156032 kb_relative_information_score 39.045835 kb_relative_information_score 36.213683 kb_relative_information_score 34.44987 kb_relative_information_score 36.072686 kb_relative_information_score 39.357356 kb_relative_information_score 34.286678 kb_relative_information_score 34.241668 kb_relative_information_score 39.251577 kb_relative_information_score 32.834339 kb_relative_information_score 32.257181 kb_relative_information_score 41.149986 kb_relative_information_score 43.696809 kb_relative_information_score 33.853254 kb_relative_information_score 26.334609 kb_relative_information_score 40.271489 kb_relative_information_score 34.493503 kb_relative_information_score 33.033409 kb_relative_information_score 24.759119 kb_relative_information_score 36.41792 kb_relative_information_score 38.703421 kb_relative_information_score 27.781281 kb_relative_information_score 24.400311 kb_relative_information_score 38.65207 kb_relative_information_score 40.410575 kb_relative_information_score 27.808786 kb_relative_information_score 27.140141 kb_relative_information_score 29.078589 kb_relative_information_score 51.191131 kb_relative_information_score 30.284499 kb_relative_information_score 40.351945 kb_relative_information_score 26.623658 kb_relative_information_score 37.874915 kb_relative_information_score 41.25946 kb_relative_information_score 42.292757 kb_relative_information_score 37.574256 kb_relative_information_score 28.303105 kb_relative_information_score 37.214746 kb_relative_information_score 30.836575 kb_relative_information_score 39.179261 kb_relative_information_score 23.573876 kb_relative_information_score 39.418706 kb_relative_information_score 33.448478 kb_relative_information_score 33.407036 kb_relative_information_score 28.381489 kb_relative_information_score 32.254469 kb_relative_information_score 28.266831 mean_absolute_error 0.33223 mean_absolute_error 0.323339 mean_absolute_error 0.385471 mean_absolute_error 0.299396 mean_absolute_error 0.321938 mean_absolute_error 0.333102 mean_absolute_error 0.358772 mean_absolute_error 0.302793 mean_absolute_error 0.315082 mean_absolute_error 0.355192 mean_absolute_error 0.321137 mean_absolute_error 0.358204 mean_absolute_error 0.305592 mean_absolute_error 0.394751 mean_absolute_error 0.339295 mean_absolute_error 0.367361 mean_absolute_error 0.361797 mean_absolute_error 0.326842 mean_absolute_error 0.354998 mean_absolute_error 0.282825 mean_absolute_error 0.346107 mean_absolute_error 0.309674 mean_absolute_error 0.323381 mean_absolute_error 0.333347 mean_absolute_error 0.358253 mean_absolute_error 0.394378 mean_absolute_error 0.36748 mean_absolute_error 0.347066 mean_absolute_error 0.351624 mean_absolute_error 0.310203 mean_absolute_error 0.320326 mean_absolute_error 0.384638 mean_absolute_error 0.320813 mean_absolute_error 0.313342 mean_absolute_error 0.311622 mean_absolute_error 0.348804 mean_absolute_error 0.307067 mean_absolute_error 0.392293 mean_absolute_error 0.369926 mean_absolute_error 0.297566 mean_absolute_error 0.301543 mean_absolute_error 0.345251 mean_absolute_error 0.319864 mean_absolute_error 0.379936 mean_absolute_error 0.339357 mean_absolute_error 0.339925 mean_absolute_error 0.320635 mean_absolute_error 0.327748 mean_absolute_error 0.326531 mean_absolute_error 0.321516 mean_absolute_error 0.359032 mean_absolute_error 0.334606 mean_absolute_error 0.379676 mean_absolute_error 0.343358 mean_absolute_error 0.315194 mean_absolute_error 0.328814 mean_absolute_error 0.336885 mean_absolute_error 0.329524 mean_absolute_error 0.313889 mean_absolute_error 0.337731 mean_absolute_error 0.33589 mean_absolute_error 0.313867 mean_absolute_error 0.34593 mean_absolute_error 0.345495 mean_absolute_error 0.308407 mean_absolute_error 0.295112 mean_absolute_error 0.337517 mean_absolute_error 0.37741 mean_absolute_error 0.308833 mean_absolute_error 0.336927 mean_absolute_error 0.342975 mean_absolute_error 0.384892 mean_absolute_error 0.327126 mean_absolute_error 0.3171 mean_absolute_error 0.37359 mean_absolute_error 0.38204 mean_absolute_error 0.318815 mean_absolute_error 0.308729 mean_absolute_error 0.370175 mean_absolute_error 0.37299 mean_absolute_error 0.363092 mean_absolute_error 0.261958 mean_absolute_error 0.358043 mean_absolute_error 0.310441 mean_absolute_error 0.372167 mean_absolute_error 0.322822 mean_absolute_error 0.306717 mean_absolute_error 0.298947 mean_absolute_error 0.322744 mean_absolute_error 0.368688 mean_absolute_error 0.325278 mean_absolute_error 0.354754 mean_absolute_error 0.317185 mean_absolute_error 0.390027 mean_absolute_error 0.314141 mean_absolute_error 0.341703 mean_absolute_error 0.34153 mean_absolute_error 0.362778 mean_absolute_error 0.343529 mean_absolute_error 0.365142 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.499943 number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [50,52] number_of_instances 102 [50,52] number_of_instances 102 [51,51] number_of_instances 102 [50,52] number_of_instances 102 [50,52] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [50,52] number_of_instances 102 [50,52] number_of_instances 102 [50,52] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [50,52] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [50,52] number_of_instances 102 [50,52] precision 0.708738 [0.705882,0.711538] precision 0.728398 [0.734694,0.722222] precision 0.664662 [0.690476,0.639344] precision 0.709785 [0.723404,0.696429] precision 0.738526 [0.75,0.727273] precision 0.739438 [0.666667,0.810811] precision 0.693535 [0.72093,0.666667] precision 0.747852 [0.755102,0.740741] precision 0.767306 [0.77551,0.759259] precision 0.645823 [0.616667,0.674419] precision 0.748886 [0.765957,0.732143] precision 0.699047 [0.7,0.698113] precision 0.759503 [0.782609,0.736842] precision 0.612621 [0.6,0.625] precision 0.690703 [0.672727,0.708333] precision 0.621476 [0.615385,0.627451] precision 0.68932 [0.686275,0.692308] precision 0.690235 [0.702128,0.678571] precision 0.699161 [0.692308,0.705882] precision 0.738526 [0.75,0.727273] precision 0.680404 [0.666667,0.693878] precision 0.729744 [0.709091,0.75] precision 0.703169 [0.672414,0.733333] precision 0.714333 [0.677966,0.75] precision 0.680404 [0.666667,0.693878] precision 0.640762 [0.64,0.641509] precision 0.670284 [0.660377,0.68] precision 0.689723 [0.679245,0.7] precision 0.679619 [0.68,0.679245] precision 0.754065 [0.711864,0.795455] precision 0.728155 [0.72549,0.730769] precision 0.650485 [0.647059,0.653846] precision 0.705803 [0.666667,0.744186] precision 0.767306 [0.77551,0.759259] precision 0.768436 [0.787234,0.75] precision 0.703169 [0.672414,0.733333] precision 0.708738 [0.705882,0.711538] precision 0.663657 [0.637931,0.688889] precision 0.660191 [0.66,0.660377] precision 0.776761 [0.78,0.773585] precision 0.746615 [0.727273,0.765957] precision 0.677083 [0.6875,0.666667] precision 0.719828 [0.689655,0.75] precision 0.649936 [0.625,0.673913] precision 0.676414 [0.673469,0.679245] precision 0.707157 [0.723404,0.690909] precision 0.755505 [0.765957,0.745455] precision 0.686802 [0.673077,0.7] precision 0.706199 [0.698113,0.714286] precision 0.706199 [0.714286,0.698113] precision 0.707157 [0.690909,0.723404] precision 0.765114 [0.77551,0.754717] precision 0.686561 [0.679245,0.693878] precision 0.688889 [0.666667,0.711111] precision 0.728655 [0.701754,0.755556] precision 0.708772 [0.733333,0.684211] precision 0.702381 [0.666667,0.738095] precision 0.725838 [0.716981,0.734694] precision 0.726886 [0.709091,0.744681] precision 0.706199 [0.714286,0.698113] precision 0.666923 [0.660377,0.673469] precision 0.748538 [0.719298,0.777778] precision 0.72549 [0.72549,0.72549] precision 0.696759 [0.708333,0.685185] precision 0.795139 [0.777778,0.8125] precision 0.755 [0.76,0.75] precision 0.676435 [0.634921,0.717949] precision 0.666923 [0.660377,0.673469] precision 0.736111 [0.722222,0.75] precision 0.726886 [0.744681,0.709091] precision 0.676538 [0.68,0.673077] precision 0.647285 [0.653061,0.641509] precision 0.696759 [0.685185,0.708333] precision 0.708772 [0.733333,0.684211] precision 0.701455 [0.756757,0.646154] precision 0.627647 [0.632653,0.622642] precision 0.736111 [0.722222,0.75] precision 0.715769 [0.72,0.711538] precision 0.687427 [0.672727,0.702128] precision 0.666667 [0.666667,0.666667] precision 0.667698 [0.654545,0.680851] precision 0.836568 [0.803571,0.869565] precision 0.667698 [0.654545,0.680851] precision 0.735385 [0.730769,0.74] precision 0.637731 [0.62963,0.645833] precision 0.716435 [0.703704,0.729167] precision 0.739812 [0.772727,0.706897] precision 0.725838 [0.716981,0.734694] precision 0.726886 [0.709091,0.744681] precision 0.682143 [0.65,0.714286] precision 0.726464 [0.73913,0.714286] precision 0.690321 [0.634921,0.74359] precision 0.725626 [0.729167,0.722222] precision 0.627647 [0.632653,0.622642] precision 0.726886 [0.709091,0.744681] precision 0.706425 [0.692308,0.72] precision 0.677083 [0.666667,0.6875] precision 0.649123 [0.631579,0.666667] precision 0.66821 [0.648148,0.6875] precision 0.657055 [0.647059,0.666667] predictive_accuracy 0.708738 predictive_accuracy 0.728155 predictive_accuracy 0.660194 predictive_accuracy 0.708738 predictive_accuracy 0.737864 predictive_accuracy 0.718447 predictive_accuracy 0.68932 predictive_accuracy 0.747573 predictive_accuracy 0.76699 predictive_accuracy 0.640777 predictive_accuracy 0.747573 predictive_accuracy 0.699029 predictive_accuracy 0.757282 predictive_accuracy 0.61165 predictive_accuracy 0.68932 predictive_accuracy 0.621359 predictive_accuracy 0.68932 predictive_accuracy 0.68932 predictive_accuracy 0.699029 predictive_accuracy 0.737864 predictive_accuracy 0.679612 predictive_accuracy 0.728155 predictive_accuracy 0.699029 predictive_accuracy 0.708738 predictive_accuracy 0.679612 predictive_accuracy 0.640777 predictive_accuracy 0.669903 predictive_accuracy 0.68932 predictive_accuracy 0.679612 predictive_accuracy 0.747573 predictive_accuracy 0.728155 predictive_accuracy 0.650485 predictive_accuracy 0.699029 predictive_accuracy 0.76699 predictive_accuracy 0.76699 predictive_accuracy 0.699029 predictive_accuracy 0.708738 predictive_accuracy 0.660194 predictive_accuracy 0.660194 predictive_accuracy 0.776699 predictive_accuracy 0.745098 predictive_accuracy 0.676471 predictive_accuracy 0.715686 predictive_accuracy 0.647059 predictive_accuracy 0.676471 predictive_accuracy 0.705882 predictive_accuracy 0.754902 predictive_accuracy 0.686275 predictive_accuracy 0.705882 predictive_accuracy 0.705882 predictive_accuracy 0.705882 predictive_accuracy 0.764706 predictive_accuracy 0.686275 predictive_accuracy 0.686275 predictive_accuracy 0.72549 predictive_accuracy 0.705882 predictive_accuracy 0.696078 predictive_accuracy 0.72549 predictive_accuracy 0.72549 predictive_accuracy 0.705882 predictive_accuracy 0.666667 predictive_accuracy 0.745098 predictive_accuracy 0.72549 predictive_accuracy 0.696078 predictive_accuracy 0.794118 predictive_accuracy 0.754902 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.735294 predictive_accuracy 0.72549 predictive_accuracy 0.676471 predictive_accuracy 0.647059 predictive_accuracy 0.696078 predictive_accuracy 0.705882 predictive_accuracy 0.686275 predictive_accuracy 0.627451 predictive_accuracy 0.735294 predictive_accuracy 0.715686 predictive_accuracy 0.686275 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.833333 predictive_accuracy 0.666667 predictive_accuracy 0.735294 predictive_accuracy 0.637255 predictive_accuracy 0.715686 predictive_accuracy 0.735294 predictive_accuracy 0.72549 predictive_accuracy 0.72549 predictive_accuracy 0.676471 predictive_accuracy 0.72549 predictive_accuracy 0.676471 predictive_accuracy 0.72549 predictive_accuracy 0.627451 predictive_accuracy 0.72549 predictive_accuracy 0.705882 predictive_accuracy 0.676471 predictive_accuracy 0.647059 predictive_accuracy 0.666667 predictive_accuracy 0.656863 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 recall 0.708738 [0.705882,0.711538] recall 0.728155 [0.705882,0.75] recall 0.660194 [0.568627,0.75] recall 0.708738 [0.666667,0.75] recall 0.737864 [0.705882,0.769231] recall 0.718447 [0.862745,0.576923] recall 0.68932 [0.607843,0.769231] recall 0.747573 [0.72549,0.769231] recall 0.76699 [0.745098,0.788462] recall 0.640777 [0.72549,0.557692] recall 0.747573 [0.705882,0.788462] recall 0.699029 [0.686275,0.711538] recall 0.757282 [0.705882,0.807692] recall 0.61165 [0.647059,0.576923] recall 0.68932 [0.72549,0.653846] recall 0.621359 [0.627451,0.615385] recall 0.68932 [0.686275,0.692308] recall 0.68932 [0.647059,0.730769] recall 0.699029 [0.705882,0.692308] recall 0.737864 [0.705882,0.769231] recall 0.679612 [0.705882,0.653846] recall 0.728155 [0.764706,0.692308] recall 0.699029 [0.764706,0.634615] recall 0.708738 [0.784314,0.634615] recall 0.679612 [0.705882,0.653846] recall 0.640777 [0.627451,0.653846] recall 0.669903 [0.686275,0.653846] recall 0.68932 [0.705882,0.673077] recall 0.679612 [0.666667,0.692308] recall 0.747573 [0.823529,0.673077] recall 0.728155 [0.72549,0.730769] recall 0.650485 [0.647059,0.653846] recall 0.699029 [0.784314,0.615385] recall 0.76699 [0.745098,0.788462] recall 0.76699 [0.72549,0.807692] recall 0.699029 [0.764706,0.634615] recall 0.708738 [0.705882,0.711538] recall 0.660194 [0.72549,0.596154] recall 0.660194 [0.647059,0.673077] recall 0.776699 [0.764706,0.788462] recall 0.745098 [0.784314,0.705882] recall 0.676471 [0.647059,0.705882] recall 0.715686 [0.784314,0.647059] recall 0.647059 [0.7,0.596154] recall 0.676471 [0.66,0.692308] recall 0.705882 [0.666667,0.745098] recall 0.754902 [0.72,0.788462] recall 0.686275 [0.7,0.673077] recall 0.705882 [0.72549,0.686275] recall 0.705882 [0.686275,0.72549] recall 0.705882 [0.745098,0.666667] recall 0.764706 [0.745098,0.784314] recall 0.686275 [0.705882,0.666667] recall 0.686275 [0.745098,0.627451] recall 0.72549 [0.784314,0.666667] recall 0.705882 [0.647059,0.764706] recall 0.696078 [0.784314,0.607843] recall 0.72549 [0.745098,0.705882] recall 0.72549 [0.764706,0.686275] recall 0.705882 [0.686275,0.72549] recall 0.666667 [0.686275,0.647059] recall 0.745098 [0.803922,0.686275] recall 0.72549 [0.72549,0.72549] recall 0.696078 [0.666667,0.72549] recall 0.794118 [0.823529,0.764706] recall 0.754902 [0.745098,0.764706] recall 0.666667 [0.784314,0.54902] recall 0.666667 [0.686275,0.647059] recall 0.735294 [0.764706,0.705882] recall 0.72549 [0.686275,0.764706] recall 0.676471 [0.666667,0.686275] recall 0.647059 [0.627451,0.666667] recall 0.696078 [0.72549,0.666667] recall 0.705882 [0.647059,0.764706] recall 0.686275 [0.54902,0.823529] recall 0.627451 [0.607843,0.647059] recall 0.735294 [0.764706,0.705882] recall 0.715686 [0.705882,0.72549] recall 0.686275 [0.72549,0.647059] recall 0.666667 [0.666667,0.666667] recall 0.666667 [0.705882,0.627451] recall 0.833333 [0.882353,0.784314] recall 0.666667 [0.705882,0.627451] recall 0.735294 [0.745098,0.72549] recall 0.637255 [0.666667,0.607843] recall 0.715686 [0.745098,0.686275] recall 0.735294 [0.666667,0.803922] recall 0.72549 [0.745098,0.705882] recall 0.72549 [0.764706,0.686275] recall 0.676471 [0.764706,0.588235] recall 0.72549 [0.68,0.769231] recall 0.676471 [0.8,0.557692] recall 0.72549 [0.7,0.75] recall 0.627451 [0.607843,0.647059] recall 0.72549 [0.764706,0.686275] recall 0.705882 [0.72,0.692308] recall 0.676471 [0.705882,0.647059] recall 0.647059 [0.705882,0.588235] recall 0.666667 [0.7,0.634615] recall 0.656863 [0.66,0.653846] relative_absolute_error 0.664497 relative_absolute_error 0.646715 relative_absolute_error 0.770986 relative_absolute_error 0.598826 relative_absolute_error 0.643913 relative_absolute_error 0.666241 relative_absolute_error 0.717584 relative_absolute_error 0.60562 relative_absolute_error 0.630199 relative_absolute_error 0.710423 relative_absolute_error 0.64231 relative_absolute_error 0.716449 relative_absolute_error 0.611219 relative_absolute_error 0.789547 relative_absolute_error 0.678629 relative_absolute_error 0.734764 relative_absolute_error 0.723635 relative_absolute_error 0.653721 relative_absolute_error 0.710037 relative_absolute_error 0.565683 relative_absolute_error 0.692253 relative_absolute_error 0.619384 relative_absolute_error 0.6468 relative_absolute_error 0.666731 relative_absolute_error 0.716546 relative_absolute_error 0.7888 relative_absolute_error 0.735002 relative_absolute_error 0.69417 relative_absolute_error 0.703287 relative_absolute_error 0.620442 relative_absolute_error 0.640689 relative_absolute_error 0.769319 relative_absolute_error 0.641662 relative_absolute_error 0.626719 relative_absolute_error 0.62328 relative_absolute_error 0.697647 relative_absolute_error 0.614168 relative_absolute_error 0.784631 relative_absolute_error 0.739895 relative_absolute_error 0.595167 relative_absolute_error 0.603086 relative_absolute_error 0.690502 relative_absolute_error 0.639729 relative_absolute_error 0.759959 relative_absolute_error 0.678791 relative_absolute_error 0.679849 relative_absolute_error 0.641343 relative_absolute_error 0.655572 relative_absolute_error 0.653061 relative_absolute_error 0.643032 relative_absolute_error 0.718064 relative_absolute_error 0.669211 relative_absolute_error 0.759351 relative_absolute_error 0.686716 relative_absolute_error 0.630388 relative_absolute_error 0.657628 relative_absolute_error 0.67377 relative_absolute_error 0.659048 relative_absolute_error 0.627777 relative_absolute_error 0.675462 relative_absolute_error 0.67178 relative_absolute_error 0.627734 relative_absolute_error 0.69186 relative_absolute_error 0.690991 relative_absolute_error 0.616814 relative_absolute_error 0.590225 relative_absolute_error 0.675033 relative_absolute_error 0.754821 relative_absolute_error 0.617667 relative_absolute_error 0.673853 relative_absolute_error 0.685951 relative_absolute_error 0.769784 relative_absolute_error 0.654253 relative_absolute_error 0.6342 relative_absolute_error 0.747181 relative_absolute_error 0.76408 relative_absolute_error 0.63763 relative_absolute_error 0.617459 relative_absolute_error 0.74035 relative_absolute_error 0.74598 relative_absolute_error 0.726185 relative_absolute_error 0.523916 relative_absolute_error 0.716087 relative_absolute_error 0.620883 relative_absolute_error 0.744334 relative_absolute_error 0.645644 relative_absolute_error 0.613434 relative_absolute_error 0.597895 relative_absolute_error 0.645488 relative_absolute_error 0.737376 relative_absolute_error 0.650631 relative_absolute_error 0.70959 relative_absolute_error 0.634443 relative_absolute_error 0.780053 relative_absolute_error 0.628282 relative_absolute_error 0.683484 relative_absolute_error 0.68306 relative_absolute_error 0.725555 relative_absolute_error 0.687137 relative_absolute_error 0.730367 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.499951 root_mean_squared_error 0.424729 root_mean_squared_error 0.434131 root_mean_squared_error 0.500432 root_mean_squared_error 0.4221 root_mean_squared_error 0.437167 root_mean_squared_error 0.429708 root_mean_squared_error 0.46682 root_mean_squared_error 0.40645 root_mean_squared_error 0.436959 root_mean_squared_error 0.479617 root_mean_squared_error 0.42675 root_mean_squared_error 0.471537 root_mean_squared_error 0.400011 root_mean_squared_error 0.519839 root_mean_squared_error 0.460252 root_mean_squared_error 0.498679 root_mean_squared_error 0.477721 root_mean_squared_error 0.437099 root_mean_squared_error 0.462461 root_mean_squared_error 0.390905 root_mean_squared_error 0.458473 root_mean_squared_error 0.433709 root_mean_squared_error 0.448102 root_mean_squared_error 0.426627 root_mean_squared_error 0.479076 root_mean_squared_error 0.493876 root_mean_squared_error 0.473456 root_mean_squared_error 0.453586 root_mean_squared_error 0.459377 root_mean_squared_error 0.416103 root_mean_squared_error 0.443509 root_mean_squared_error 0.494914 root_mean_squared_error 0.441465 root_mean_squared_error 0.428902 root_mean_squared_error 0.416029 root_mean_squared_error 0.455626 root_mean_squared_error 0.442223 root_mean_squared_error 0.506999 root_mean_squared_error 0.481458 root_mean_squared_error 0.407476 root_mean_squared_error 0.424687 root_mean_squared_error 0.454327 root_mean_squared_error 0.444422 root_mean_squared_error 0.491825 root_mean_squared_error 0.443707 root_mean_squared_error 0.450415 root_mean_squared_error 0.438369 root_mean_squared_error 0.456481 root_mean_squared_error 0.437797 root_mean_squared_error 0.435642 root_mean_squared_error 0.465723 root_mean_squared_error 0.439748 root_mean_squared_error 0.493582 root_mean_squared_error 0.455171 root_mean_squared_error 0.426407 root_mean_squared_error 0.454034 root_mean_squared_error 0.444294 root_mean_squared_error 0.437882 root_mean_squared_error 0.436224 root_mean_squared_error 0.46323 root_mean_squared_error 0.460535 root_mean_squared_error 0.422193 root_mean_squared_error 0.451517 root_mean_squared_error 0.46558 root_mean_squared_error 0.423145 root_mean_squared_error 0.398369 root_mean_squared_error 0.459351 root_mean_squared_error 0.479327 root_mean_squared_error 0.427886 root_mean_squared_error 0.454772 root_mean_squared_error 0.446462 root_mean_squared_error 0.495104 root_mean_squared_error 0.439701 root_mean_squared_error 0.440996 root_mean_squared_error 0.475888 root_mean_squared_error 0.49978 root_mean_squared_error 0.431509 root_mean_squared_error 0.43403 root_mean_squared_error 0.478238 root_mean_squared_error 0.490208 root_mean_squared_error 0.47239 root_mean_squared_error 0.362812 root_mean_squared_error 0.472275 root_mean_squared_error 0.426448 root_mean_squared_error 0.491526 root_mean_squared_error 0.445213 root_mean_squared_error 0.418837 root_mean_squared_error 0.422895 root_mean_squared_error 0.447245 root_mean_squared_error 0.468197 root_mean_squared_error 0.445242 root_mean_squared_error 0.460525 root_mean_squared_error 0.424436 root_mean_squared_error 0.496004 root_mean_squared_error 0.426682 root_mean_squared_error 0.45559 root_mean_squared_error 0.438441 root_mean_squared_error 0.475651 root_mean_squared_error 0.468225 root_mean_squared_error 0.493473 root_relative_squared_error 0.849491 root_relative_squared_error 0.868297 root_relative_squared_error 1.000904 root_relative_squared_error 0.844234 root_relative_squared_error 0.874368 root_relative_squared_error 0.859451 root_relative_squared_error 0.933677 root_relative_squared_error 0.812932 root_relative_squared_error 0.873953 root_relative_squared_error 0.959272 root_relative_squared_error 0.853535 root_relative_squared_error 0.943112 root_relative_squared_error 0.800054 root_relative_squared_error 1.03972 root_relative_squared_error 0.920541 root_relative_squared_error 0.997397 root_relative_squared_error 0.95548 root_relative_squared_error 0.874233 root_relative_squared_error 0.924959 root_relative_squared_error 0.781842 root_relative_squared_error 0.916982 root_relative_squared_error 0.867452 root_relative_squared_error 0.89624 root_relative_squared_error 0.853288 root_relative_squared_error 0.958189 root_relative_squared_error 0.987792 root_relative_squared_error 0.94695 root_relative_squared_error 0.907208 root_relative_squared_error 0.91879 root_relative_squared_error 0.83224 root_relative_squared_error 0.887053 root_relative_squared_error 0.989867 root_relative_squared_error 0.882965 root_relative_squared_error 0.857837 root_relative_squared_error 0.832092 root_relative_squared_error 0.911289 root_relative_squared_error 0.88448 root_relative_squared_error 1.014038 root_relative_squared_error 0.962955 root_relative_squared_error 0.814985 root_relative_squared_error 0.84936 root_relative_squared_error 0.908638 root_relative_squared_error 0.88883 root_relative_squared_error 0.983746 root_relative_squared_error 0.887501 root_relative_squared_error 0.900815 root_relative_squared_error 0.876823 root_relative_squared_error 0.913052 root_relative_squared_error 0.875579 root_relative_squared_error 0.871269 root_relative_squared_error 0.93143 root_relative_squared_error 0.879481 root_relative_squared_error 0.987148 root_relative_squared_error 0.910326 root_relative_squared_error 0.852799 root_relative_squared_error 0.908053 root_relative_squared_error 0.888573 root_relative_squared_error 0.87575 root_relative_squared_error 0.872432 root_relative_squared_error 0.926444 root_relative_squared_error 0.921055 root_relative_squared_error 0.844372 root_relative_squared_error 0.903019 root_relative_squared_error 0.931144 root_relative_squared_error 0.846275 root_relative_squared_error 0.796725 root_relative_squared_error 0.918687 root_relative_squared_error 0.958638 root_relative_squared_error 0.855758 root_relative_squared_error 0.909528 root_relative_squared_error 0.892909 root_relative_squared_error 0.990192 root_relative_squared_error 0.879386 root_relative_squared_error 0.881977 root_relative_squared_error 0.95176 root_relative_squared_error 0.999543 root_relative_squared_error 0.863003 root_relative_squared_error 0.868045 root_relative_squared_error 0.956461 root_relative_squared_error 0.980399 root_relative_squared_error 0.944764 root_relative_squared_error 0.725612 root_relative_squared_error 0.944534 root_relative_squared_error 0.852881 root_relative_squared_error 0.983035 root_relative_squared_error 0.890411 root_relative_squared_error 0.83766 root_relative_squared_error 0.845775 root_relative_squared_error 0.894474 root_relative_squared_error 0.936378 root_relative_squared_error 0.890571 root_relative_squared_error 0.921139 root_relative_squared_error 0.848954 root_relative_squared_error 0.991991 root_relative_squared_error 0.853349 root_relative_squared_error 0.911269 root_relative_squared_error 0.876866 root_relative_squared_error 0.951285 root_relative_squared_error 0.936541 root_relative_squared_error 0.987042 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 180 usercpu_time_millis 110 usercpu_time_millis 110 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 110 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 110 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 110 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 110 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis 120 usercpu_time_millis 110 usercpu_time_millis 120 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 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 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 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 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 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 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 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 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 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