371455 2 Joaquin Vanschoren 1901 Supervised Classification predictive_accuracy 1165 weka.A1DE(4) 1918 weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0 F 1 1165 M 1.0 1165 weka weka_3.7.12 21 car https://www.openml.org/data/download/21/dataset_21_car.arff -1 1289515 description https://api.openml.org/data/download/1289515/weka_generated_run3924816028083245756.xml -1 1289518 model_readable https://api.openml.org/data/download/1289518/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE3690746410431899698.model -1 1289517 model_serialized https://api.openml.org/data/download/1289517/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE4124697006284897078.model -1 1289516 predictions https://api.openml.org/data/download/1289516/weka_generated_predictions526140534551332126.arff area_under_roc_curve 0.991993 [0.995607,0.979869,0.988964,0.99955] average_cost 0 f_measure 0.912547 [0.974344,0.830533,0.422701,0.766667] kappa 0.816333 kb_relative_information_score 11252.959539 mean_absolute_error 0.099331 mean_prior_absolute_error 0.22898 number_of_instances 17280 [12100,3840,690,650] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.916522 [0.972579,0.779835,0.650602,0.962791] predictive_accuracy 0.917361 prior_entropy 1.209911 recall 0.917361 [0.976116,0.888281,0.313043,0.636923] relative_absolute_error 0.4338 root_mean_prior_squared_error 0.338114 root_mean_squared_error 0.201867 root_relative_squared_error 0.597037 scimark_benchmark 1336.095396 [810.520762172206, 981.8878544508927, 529.4584627211171, 1113.6108317951923, 3244.99907038474] total_cost 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 area_under_roc_curve 0.992659 [0.996821,0.978377,0.993976,1] area_under_roc_curve 0.993632 [0.997616,0.983161,0.979346,0.998004] area_under_roc_curve 0.99364 [0.999364,0.976847,0.983649,0.999002] area_under_roc_curve 0.987365 [0.993961,0.966705,0.980207,0.997006] area_under_roc_curve 0.991167 [0.997139,0.973402,0.979346,1] area_under_roc_curve 0.988817 [0.994755,0.971297,0.974182,1] area_under_roc_curve 0.99661 [0.99555,0.999235,0.997418,1] area_under_roc_curve 0.997883 [1,0.992155,0.991394,1] area_under_roc_curve 0.993417 [0.99698,0.981248,0.993976,1] area_under_roc_curve 0.996481 [0.999364,0.987754,0.992255,1] area_under_roc_curve 0.993855 [0.995868,0.986797,0.993115,1] area_under_roc_curve 0.992174 [0.997934,0.974168,0.986231,1] area_under_roc_curve 0.994878 [0.996662,0.987945,0.998279,1] area_under_roc_curve 0.988668 [0.993166,0.972637,0.990534,1] area_under_roc_curve 0.989684 [0.996345,0.967279,0.991394,0.999002] area_under_roc_curve 0.995142 [0.999523,0.98163,0.990534,1] area_under_roc_curve 0.990007 [0.990623,0.985075,0.998279,1] area_under_roc_curve 0.991159 [0.996186,0.974933,0.987091,1] area_under_roc_curve 0.992481 [0.996186,0.979717,0.994836,0.998004] area_under_roc_curve 0.993254 [0.995709,0.983544,0.999139,1] area_under_roc_curve 0.993191 [0.993325,0.990815,0.998279,1] area_under_roc_curve 0.989559 [0.99555,0.969192,0.990534,1] area_under_roc_curve 0.985092 [0.989669,0.968236,0.987091,1] area_under_roc_curve 0.994673 [0.994755,0.993877,0.993115,1] area_under_roc_curve 0.987725 [0.990782,0.976464,0.987091,1] area_under_roc_curve 0.99558 [0.99857,0.986223,0.992255,1] area_under_roc_curve 0.989369 [0.995073,0.97168,0.981928,0.998004] area_under_roc_curve 0.991038 [0.993484,0.982778,0.987091,1] area_under_roc_curve 0.994753 [0.998093,0.985266,0.98537,1] area_under_roc_curve 0.989207 [0.992053,0.980482,0.982788,0.996008] area_under_roc_curve 0.99502 [0.99857,0.983735,0.992255,1] area_under_roc_curve 0.989457 [0.988716,0.989476,0.993115,1] area_under_roc_curve 0.991588 [0.995709,0.977995,0.987026,1] area_under_roc_curve 0.983345 [0.994755,0.94623,0.97505,1] area_under_roc_curve 0.997258 [0.999205,0.992155,0.989673,1] area_under_roc_curve 0.991643 [0.993961,0.981822,0.999002,1] area_under_roc_curve 0.995804 [0.999046,0.985266,0.994012,1] area_under_roc_curve 0.98916 [0.993007,0.974659,0.990534,1] area_under_roc_curve 0.992119 [0.993484,0.986797,0.993014,0.997418] area_under_roc_curve 0.992864 [0.994596,0.985266,0.999002,1] area_under_roc_curve 0.997024 [0.99857,0.992593,0.993976,0.997418] area_under_roc_curve 0.982981 [0.987127,0.965887,0.987091,1] area_under_roc_curve 0.994091 [0.997616,0.981481,0.995697,1] area_under_roc_curve 0.993762 [0.998252,0.978752,0.991394,1] area_under_roc_curve 0.995113 [0.996662,0.988694,0.998279,1] area_under_roc_curve 0.993602 [0.995073,0.988304,0.991394,0.999139] area_under_roc_curve 0.986922 [0.991894,0.971345,0.972461,1] area_under_roc_curve 0.995863 [0.997139,0.991228,0.994836,1] area_under_roc_curve 0.997704 [0.999523,0.993762,0.986231,0.999139] area_under_roc_curve 0.995667 [0.999682,0.983821,0.986231,1] area_under_roc_curve 0.989121 [0.99412,0.971735,0.986231,1] area_under_roc_curve 0.992014 [0.993166,0.986355,0.994836,1] area_under_roc_curve 0.991103 [0.993325,0.982651,0.989673,1] area_under_roc_curve 0.989579 [0.991418,0.982261,0.987091,1] area_under_roc_curve 0.989578 [0.98808,0.991618,0.993976,1] area_under_roc_curve 0.99209 [0.992689,0.988694,0.994836,0.997418] area_under_roc_curve 0.994976 [0.998729,0.983236,0.990534,0.998279] area_under_roc_curve 0.994749 [0.997616,0.984795,0.993976,1] area_under_roc_curve 0.992394 [0.993166,0.987135,1,1] area_under_roc_curve 0.994604 [0.999046,0.981481,0.986231,0.997418] area_under_roc_curve 0.989432 [0.994437,0.973879,0.978485,0.998279] area_under_roc_curve 0.996613 [0.999523,0.987524,0.993115,0.999139] area_under_roc_curve 0.997574 [0.998729,0.993957,0.997418,0.997418] area_under_roc_curve 0.997218 [0.997457,0.995906,0.997418,1] area_under_roc_curve 0.990223 [0.995868,0.973879,0.971601,1] area_under_roc_curve 0.987508 [0.99412,0.962963,0.993976,1] area_under_roc_curve 0.986283 [0.990623,0.969786,0.987091,1] area_under_roc_curve 0.991749 [0.99555,0.979142,0.987091,0.999139] area_under_roc_curve 0.99033 [0.997298,0.968226,0.980207,1] area_under_roc_curve 0.991907 [0.997616,0.974074,0.981928,1] area_under_roc_curve 0.994296 [0.996345,0.98694,0.993115,1] area_under_roc_curve 0.992856 [0.994596,0.986745,0.989673,0.999139] area_under_roc_curve 0.988472 [0.995073,0.965107,0.989673,1] area_under_roc_curve 0.994604 [0.996345,0.988499,0.992255,1] area_under_roc_curve 0.986051 [0.990464,0.968129,0.993976,0.999139] area_under_roc_curve 0.992414 [0.996503,0.977388,0.995697,1] area_under_roc_curve 0.993901 [0.999205,0.977778,0.983649,1] area_under_roc_curve 0.991619 [0.997775,0.97115,0.987952,1] area_under_roc_curve 0.989146 [0.996821,0.962768,0.989673,0.999139] area_under_roc_curve 0.991252 [0.995073,0.978558,0.98537,1] area_under_roc_curve 0.990214 [0.996273,0.969953,0.98494,1] area_under_roc_curve 0.984999 [0.995139,0.950118,0.983936,1] area_under_roc_curve 0.991214 [0.994977,0.979576,0.981818,1] area_under_roc_curve 0.997972 [0.999514,0.993323,0.995671,0.998996] area_under_roc_curve 0.996081 [0.999838,0.984682,0.987952,1] area_under_roc_curve 0.991799 [0.994004,0.984682,0.985281,1] area_under_roc_curve 0.993522 [0.999676,0.975059,0.981818,1] area_under_roc_curve 0.992298 [0.994814,0.982129,0.997403,1] area_under_roc_curve 0.984791 [0.989143,0.96956,0.979221,1] area_under_roc_curve 0.990069 [0.99368,0.978201,0.98355,1] area_under_roc_curve 0.991401 [0.995301,0.978594,0.986147,1] area_under_roc_curve 0.997171 [0.999352,0.990377,0.993939,1] area_under_roc_curve 0.992186 [0.994004,0.984682,0.994805,1] area_under_roc_curve 0.992316 [0.997083,0.977219,0.985281,1] area_under_roc_curve 0.994997 [0.99919,0.982325,0.987013,1] area_under_roc_curve 0.991195 [0.995139,0.977219,0.991342,1] area_under_roc_curve 0.989794 [0.993194,0.976434,0.994805,1] area_under_roc_curve 0.991014 [0.996921,0.973009,0.97992,1] area_under_roc_curve 0.992812 [0.995949,0.982914,0.986147,1] area_under_roc_curve 0.992744 [0.996921,0.978397,0.992208,1] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.878439 [0.951613,0.759494,0.25,0.909091] f_measure 0.907687 [0.97541,0.843373,0.25,0.727273] f_measure 0.905561 [0.979424,0.819277,0.2,0.8] f_measure 0.88758 [0.955102,0.779221,0.461538,0.727273] f_measure 0.920729 [0.975207,0.839506,0.363636,1] f_measure 0.912577 [0.979253,0.814815,0.307692,0.909091] f_measure 0.944901 [0.983471,0.902439,0.545455,0.909091] f_measure 0.95654 [0.995851,0.915663,0.545455,0.909091] f_measure 0.927956 [0.979253,0.857143,0.545455,0.8] f_measure 0.915269 [0.987654,0.847059,0.4,0.5] f_measure 0.921292 [0.97541,0.839506,0.545455,0.8] f_measure 0.888678 [0.96,0.763158,0.545455,0.666667] f_measure 0.923988 [0.979424,0.857143,0.444444,0.8] f_measure 0.904288 [0.966387,0.818182,0.4,0.8] f_measure 0.911952 [0.955102,0.815789,0.769231,0.833333] f_measure 0.946211 [0.983607,0.886076,0.666667,0.909091] f_measure 0.927524 [0.971193,0.853659,0.6,0.909091] f_measure 0.903622 [0.979592,0.829268,0,0.909091] f_measure 0.945514 [0.983607,0.888889,0.727273,0.8] f_measure 0.915984 [0.967213,0.829268,0.727273,0.666667] f_measure 0.940145 [0.979424,0.878049,0.727273,0.8] f_measure 0.923241 [0.971429,0.831169,0.615385,0.909091] f_measure 0.913699 [0.970464,0.847059,0.307692,0.909091] f_measure 0.934512 [0.991736,0.894118,0.4,0.666667] f_measure 0.906642 [0.967213,0.829268,0.444444,0.727273] f_measure 0.892313 [0.97561,0.809524,0.25,0.5] f_measure 0.911416 [0.966942,0.825,0.5,0.833333] f_measure 0.886108 [0.971429,0.804878,0,0.727273] f_measure 0.932985 [0.987552,0.880952,0.222222,1] f_measure 0.884762 [0.970954,0.795455,0.222222,0.5] f_measure 0.928027 [0.97541,0.860759,0.5,0.909091] f_measure 0.920757 [0.966387,0.860465,0.4,1] f_measure 0.895487 [0.971193,0.809524,0,0.833333] f_measure 0.884875 [0.966942,0.75,0.166667,0.833333] f_measure 0.918002 [0.987654,0.860465,0.25,0.666667] f_measure 0.908644 [0.97561,0.829268,0.285714,0.727273] f_measure 0.921712 [0.97541,0.839506,0.6,0.727273] f_measure 0.905078 [0.970954,0.804878,0.615385,0.6] f_measure 0.915244 [0.967213,0.839506,0.727273,0.6] f_measure 0.904905 [0.97166,0.814815,0.5,0.6] f_measure 0.897742 [0.983471,0.827586,0.25,0.444444] f_measure 0.881132 [0.95,0.771084,0.4,0.769231] f_measure 0.897584 [0.97166,0.8,0.6,0.444444] f_measure 0.8679 [0.967742,0.75,0.4,0.25] f_measure 0.942158 [0.970464,0.880952,0.727273,1] f_measure 0.901628 [0.970464,0.822222,0.444444,0.6] f_measure 0.883503 [0.957983,0.776471,0.333333,0.727273] f_measure 0.936602 [0.983333,0.880952,0.444444,0.923077] f_measure 0.927531 [0.991667,0.870588,0.222222,0.833333] f_measure 0.936519 [0.987654,0.875,0.4,0.923077] f_measure 0.898279 [0.970954,0.795181,0.5,0.6] f_measure 0.902998 [0.966942,0.804878,0.4,0.833333] f_measure 0.93145 [0.975,0.878049,0.4,1] f_measure 0.883291 [0.958678,0.790123,0.2,0.769231] f_measure 0.927515 [0.979079,0.870588,0.545455,0.727273] f_measure 0.907831 [0.983333,0.860465,0.222222,0.545455] f_measure 0.89612 [0.979253,0.827586,0,0.727273] f_measure 0.958873 [0.987654,0.909091,0.857143,0.833333] f_measure 0.896593 [0.966102,0.813187,0.444444,0.6] f_measure 0.890926 [0.983471,0.813953,0,0.6] f_measure 0.880287 [0.975207,0.795181,0.181818,0.4] f_measure 0.921375 [0.987552,0.86747,0.222222,0.769231] f_measure 0.912073 [0.991736,0.860465,0.727273,0] f_measure 0.948958 [0.995851,0.904762,0.727273,0.6] f_measure 0.873642 [0.97541,0.756098,0.181818,0.444444] f_measure 0.894708 [0.971429,0.78481,0.615385,0.444444] f_measure 0.91045 [0.970464,0.827586,0.4,0.833333] f_measure 0.917741 [0.975207,0.846154,0.461538,0.769231] f_measure 0.918121 [0.971193,0.820513,0.615385,0.833333] f_measure 0.92227 [0.975207,0.839506,0.545455,0.833333] f_measure 0.913791 [0.975207,0.839506,0.4,0.769231] f_measure 0.935636 [0.995851,0.880952,0.4,0.727273] f_measure 0.921428 [0.971429,0.831169,0.545455,0.923077] f_measure 0.906641 [0.971193,0.819277,0.444444,0.727273] f_measure 0.890892 [0.959016,0.775,0.4,0.833333] f_measure 0.927525 [0.979424,0.85,0.545455,0.833333] f_measure 0.918506 [0.987755,0.835443,0.363636,0.727273] f_measure 0.897436 [0.97541,0.804878,0.222222,0.727273] f_measure 0.882285 [0.959677,0.753247,0.4,0.727273] f_measure 0.911397 [0.975207,0.825,0.461538,0.727273] f_measure 0.882455 [0.967213,0.780488,0,0.727273] f_measure 0.872465 [0.95082,0.740741,0.444444,0.6] f_measure 0.908716 [0.971193,0.810127,0.363636,0.909091] f_measure 0.918342 [0.983333,0.857143,0.4,0.6] f_measure 0.911048 [0.987654,0.839506,0.363636,0.444444] f_measure 0.931809 [0.987654,0.886076,0.222222,0.923077] f_measure 0.927023 [0.987654,0.846154,0.333333,0.909091] f_measure 0.909269 [0.970711,0.847059,0.25,0.833333] f_measure 0.865508 [0.955102,0.75,0,0.8] f_measure 0.91561 [0.967213,0.820513,0.545455,0.909091] f_measure 0.89795 [0.953975,0.809524,0.4,0.909091] f_measure 0.923635 [0.987552,0.857143,0.4,0.666667] f_measure 0.934479 [0.975207,0.864198,0.727273,0.8] f_measure 0.88351 [0.963265,0.780488,0.25,0.666667] f_measure 0.914379 [0.983607,0.839506,0.222222,0.8] f_measure 0.915113 [0.966387,0.833333,0.4,1] f_measure 0.914211 [0.970711,0.847059,0.4,0.8] f_measure 0.882761 [0.95935,0.759494,0.222222,0.8] f_measure 0.915976 [0.979253,0.843373,0.222222,0.909091] f_measure 0.929431 [0.979079,0.853659,0.5,0.909091] kappa 0.746471 kappa 0.817799 kappa 0.80643 kappa 0.754169 kappa 0.834462 kappa 0.81057 kappa 0.885118 kappa 0.911184 kappa 0.847375 kappa 0.831409 kappa 0.831611 kappa 0.757307 kappa 0.844773 kappa 0.799653 kappa 0.806401 kappa 0.883988 kappa 0.845524 kappa 0.816668 kappa 0.883423 kappa 0.818209 kappa 0.871261 kappa 0.8318 kappa 0.815 kappa 0.871423 kappa 0.805253 kappa 0.787567 kappa 0.809443 kappa 0.777382 kappa 0.872832 kappa 0.768854 kappa 0.845317 kappa 0.837992 kappa 0.792985 kappa 0.745925 kappa 0.844015 kappa 0.815016 kappa 0.831611 kappa 0.797572 kappa 0.818672 kappa 0.800569 kappa 0.806416 kappa 0.748492 kappa 0.787925 kappa 0.732571 kappa 0.877026 kappa 0.800605 kappa 0.75149 kappa 0.873962 kappa 0.861044 kappa 0.871928 kappa 0.784432 kappa 0.79587 kappa 0.861981 kappa 0.758149 kappa 0.849663 kappa 0.822746 kappa 0.808048 kappa 0.910962 kappa 0.789402 kappa 0.793986 kappa 0.75704 kappa 0.847834 kappa 0.84549 kappa 0.898325 kappa 0.740474 kappa 0.779055 kappa 0.814311 kappa 0.823005 kappa 0.821518 kappa 0.834523 kappa 0.821794 kappa 0.872906 kappa 0.831825 kappa 0.80656 kappa 0.767508 kappa 0.846313 kappa 0.831042 kappa 0.792379 kappa 0.747755 kappa 0.809499 kappa 0.761755 kappa 0.722751 kappa 0.804634 kappa 0.833035 kappa 0.816799 kappa 0.869776 kappa 0.844073 kappa 0.821325 kappa 0.720995 kappa 0.816505 kappa 0.78352 kappa 0.844543 kappa 0.857283 kappa 0.759683 kappa 0.828383 kappa 0.823227 kappa 0.821299 kappa 0.745819 kappa 0.832006 kappa 0.847889 kb_relative_information_score 114.33731 kb_relative_information_score 115.672405 kb_relative_information_score 113.368521 kb_relative_information_score 112.617796 kb_relative_information_score 109.717324 kb_relative_information_score 108.347311 kb_relative_information_score 116.196299 kb_relative_information_score 117.328582 kb_relative_information_score 113.63105 kb_relative_information_score 116.652174 kb_relative_information_score 117.952024 kb_relative_information_score 115.61792 kb_relative_information_score 118.09618 kb_relative_information_score 106.096565 kb_relative_information_score 110.897828 kb_relative_information_score 115.911625 kb_relative_information_score 113.756021 kb_relative_information_score 106.76607 kb_relative_information_score 113.156793 kb_relative_information_score 115.535186 kb_relative_information_score 113.718582 kb_relative_information_score 112.496943 kb_relative_information_score 107.595441 kb_relative_information_score 117.864001 kb_relative_information_score 112.903239 kb_relative_information_score 114.382152 kb_relative_information_score 107.324512 kb_relative_information_score 110.070354 kb_relative_information_score 114.020002 kb_relative_information_score 105.424466 kb_relative_information_score 114.626957 kb_relative_information_score 109.692498 kb_relative_information_score 110.720083 kb_relative_information_score 106.774526 kb_relative_information_score 116.200579 kb_relative_information_score 112.18902 kb_relative_information_score 118.486811 kb_relative_information_score 116.319897 kb_relative_information_score 115.01097 kb_relative_information_score 117.222878 kb_relative_information_score 110.901412 kb_relative_information_score 105.613682 kb_relative_information_score 115.302692 kb_relative_information_score 114.402634 kb_relative_information_score 115.07457 kb_relative_information_score 104.059836 kb_relative_information_score 108.498627 kb_relative_information_score 115.979413 kb_relative_information_score 117.950638 kb_relative_information_score 112.157791 kb_relative_information_score 111.274078 kb_relative_information_score 116.238562 kb_relative_information_score 111.619441 kb_relative_information_score 110.431497 kb_relative_information_score 112.645286 kb_relative_information_score 114.863938 kb_relative_information_score 116.337442 kb_relative_information_score 118.264113 kb_relative_information_score 107.654583 kb_relative_information_score 112.115676 kb_relative_information_score 114.051138 kb_relative_information_score 113.085662 kb_relative_information_score 116.884857 kb_relative_information_score 118.926029 kb_relative_information_score 115.739619 kb_relative_information_score 109.699631 kb_relative_information_score 111.651431 kb_relative_information_score 114.209458 kb_relative_information_score 110.675538 kb_relative_information_score 108.579218 kb_relative_information_score 118.865548 kb_relative_information_score 115.25027 kb_relative_information_score 107.237672 kb_relative_information_score 113.359844 kb_relative_information_score 108.042184 kb_relative_information_score 114.20109 kb_relative_information_score 113.416841 kb_relative_information_score 108.932939 kb_relative_information_score 112.210091 kb_relative_information_score 115.111062 kb_relative_information_score 104.763285 kb_relative_information_score 105.782853 kb_relative_information_score 112.784164 kb_relative_information_score 111.842065 kb_relative_information_score 110.957724 kb_relative_information_score 116.579603 kb_relative_information_score 108.201467 kb_relative_information_score 110.051743 kb_relative_information_score 109.062733 kb_relative_information_score 114.608198 kb_relative_information_score 106.543278 kb_relative_information_score 113.00388 kb_relative_information_score 114.770022 kb_relative_information_score 111.367328 kb_relative_information_score 113.327648 kb_relative_information_score 112.052608 kb_relative_information_score 114.879038 kb_relative_information_score 109.635605 kb_relative_information_score 110.633517 kb_relative_information_score 105.897851 mean_absolute_error 0.095653 mean_absolute_error 0.092698 mean_absolute_error 0.09673 mean_absolute_error 0.096788 mean_absolute_error 0.101145 mean_absolute_error 0.104177 mean_absolute_error 0.095438 mean_absolute_error 0.092116 mean_absolute_error 0.097401 mean_absolute_error 0.093039 mean_absolute_error 0.091067 mean_absolute_error 0.092869 mean_absolute_error 0.091314 mean_absolute_error 0.109311 mean_absolute_error 0.101535 mean_absolute_error 0.093299 mean_absolute_error 0.0987 mean_absolute_error 0.106226 mean_absolute_error 0.096534 mean_absolute_error 0.09539 mean_absolute_error 0.098842 mean_absolute_error 0.099168 mean_absolute_error 0.106363 mean_absolute_error 0.091973 mean_absolute_error 0.097561 mean_absolute_error 0.095472 mean_absolute_error 0.10525 mean_absolute_error 0.10146 mean_absolute_error 0.096203 mean_absolute_error 0.106843 mean_absolute_error 0.096743 mean_absolute_error 0.102667 mean_absolute_error 0.101378 mean_absolute_error 0.106205 mean_absolute_error 0.092905 mean_absolute_error 0.099965 mean_absolute_error 0.089841 mean_absolute_error 0.096356 mean_absolute_error 0.096434 mean_absolute_error 0.09218 mean_absolute_error 0.103152 mean_absolute_error 0.11183 mean_absolute_error 0.098702 mean_absolute_error 0.097989 mean_absolute_error 0.098994 mean_absolute_error 0.113429 mean_absolute_error 0.106145 mean_absolute_error 0.096424 mean_absolute_error 0.093702 mean_absolute_error 0.103069 mean_absolute_error 0.102505 mean_absolute_error 0.096214 mean_absolute_error 0.10375 mean_absolute_error 0.104744 mean_absolute_error 0.103456 mean_absolute_error 0.098059 mean_absolute_error 0.094879 mean_absolute_error 0.094155 mean_absolute_error 0.108813 mean_absolute_error 0.100433 mean_absolute_error 0.097267 mean_absolute_error 0.101705 mean_absolute_error 0.095665 mean_absolute_error 0.093646 mean_absolute_error 0.095933 mean_absolute_error 0.104195 mean_absolute_error 0.102022 mean_absolute_error 0.099913 mean_absolute_error 0.103484 mean_absolute_error 0.107229 mean_absolute_error 0.093745 mean_absolute_error 0.097844 mean_absolute_error 0.10922 mean_absolute_error 0.099994 mean_absolute_error 0.107728 mean_absolute_error 0.09989 mean_absolute_error 0.10077 mean_absolute_error 0.105276 mean_absolute_error 0.101743 mean_absolute_error 0.097441 mean_absolute_error 0.107196 mean_absolute_error 0.105296 mean_absolute_error 0.094557 mean_absolute_error 0.097299 mean_absolute_error 0.098884 mean_absolute_error 0.090099 mean_absolute_error 0.103523 mean_absolute_error 0.101375 mean_absolute_error 0.09996 mean_absolute_error 0.092878 mean_absolute_error 0.106016 mean_absolute_error 0.096211 mean_absolute_error 0.093307 mean_absolute_error 0.096209 mean_absolute_error 0.095861 mean_absolute_error 0.097035 mean_absolute_error 0.093383 mean_absolute_error 0.097009 mean_absolute_error 0.100081 mean_absolute_error 0.106486 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228958 mean_prior_absolute_error 0.228958 mean_prior_absolute_error 0.228951 mean_prior_absolute_error 0.228958 mean_prior_absolute_error 0.228958 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.228958 mean_prior_absolute_error 0.228958 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.229483 mean_prior_absolute_error 0.228028 mean_prior_absolute_error 0.228028 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228028 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.227493 mean_prior_absolute_error 0.228021 mean_prior_absolute_error 0.228021 number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,6,7] number_of_instances 173 [121,39,6,7] number_of_instances 173 [121,39,7,6] number_of_instances 173 [121,39,6,7] number_of_instances 173 [121,39,6,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,39,6,7] number_of_instances 173 [121,39,6,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 173 [121,38,7,7] number_of_instances 172 [121,38,6,7] number_of_instances 172 [121,38,6,7] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,6,7] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,39,6,6] number_of_instances 172 [121,38,7,6] number_of_instances 172 [121,38,7,6] precision 0.894076 [0.929134,0.75,1,1] precision 0.924207 [0.96748,0.795455,1,0.8] precision 0.904591 [0.97541,0.772727,0.333333,1] precision 0.885889 [0.943548,0.789474,0.5,0.8] precision 0.919488 [0.975207,0.809524,0.5,1] precision 0.913061 [0.983333,0.785714,0.333333,1] precision 0.946868 [0.983471,0.860465,0.75,1] precision 0.959143 [1,0.863636,0.75,1] precision 0.933141 [0.983333,0.8,0.75,1] precision 0.926039 [0.983607,0.782609,0.666667,1] precision 0.924199 [0.96748,0.809524,0.75,1] precision 0.892345 [0.930233,0.783784,0.75,1] precision 0.937714 [0.97541,0.8,1,1] precision 0.914748 [0.982906,0.734694,0.666667,1] precision 0.911436 [0.943548,0.837838,0.833333,0.833333] precision 0.946669 [0.97561,0.875,0.8,1] precision 0.935127 [0.967213,0.813953,1,1] precision 0.889792 [0.967742,0.790698,0,1] precision 0.950736 [0.97561,0.857143,1,1] precision 0.924384 [0.95935,0.790698,1,1] precision 0.946103 [0.97541,0.837209,1,1] precision 0.922715 [0.959677,0.842105,0.666667,1] precision 0.917988 [0.991379,0.782609,0.333333,1] precision 0.941526 [0.991736,0.826087,0.666667,1] precision 0.917448 [0.95935,0.790698,1,0.8] precision 0.916917 [0.96,0.755556,1,1] precision 0.910926 [0.966942,0.804878,0.6,0.833333] precision 0.871972 [0.959677,0.767442,0,0.8] precision 0.933863 [0.991667,0.822222,0.5,1] precision 0.897874 [0.975,0.714286,0.5,1] precision 0.927255 [0.96748,0.85,0.6,1] precision 0.926592 [0.982906,0.787234,0.666667,1] precision 0.88728 [0.967213,0.755556,0,1] precision 0.887495 [0.966942,0.731707,0.166667,1] precision 0.940569 [0.983607,0.787234,1,1] precision 0.924839 [0.96,0.790698,1,1] precision 0.925644 [0.96748,0.809524,0.75,1] precision 0.914114 [0.975,0.75,0.666667,1] precision 0.921692 [0.95935,0.809524,0.8,1] precision 0.918387 [0.952381,0.785714,1,1] precision 0.930164 [0.983471,0.734694,1,1] precision 0.886926 [0.957983,0.711111,0.666667,0.833333] precision 0.914396 [0.952381,0.761905,1,1] precision 0.885204 [0.944882,0.714286,0.666667,1] precision 0.950995 [0.991379,0.804348,1,1] precision 0.930609 [0.991379,0.711538,1,1] precision 0.89236 [0.974359,0.702128,0.4,1] precision 0.951147 [0.991597,0.804348,1,1] precision 0.933034 [1,0.787234,0.5,1] precision 0.938438 [0.983607,0.833333,0.666667,1] precision 0.907755 [0.975,0.733333,0.6,1] precision 0.908478 [0.966942,0.75,0.666667,1] precision 0.934821 [0.983193,0.818182,0.666667,1] precision 0.881189 [0.958678,0.744186,0.333333,0.833333] precision 0.937222 [0.991525,0.787234,0.75,1] precision 0.913438 [0.991597,0.770833,0.5,0.75] precision 0.889605 [0.983333,0.734694,0,1] precision 0.960225 [0.983607,0.897436,0.857143,1] precision 0.927608 [0.991304,0.698113,1,1] precision 0.888487 [0.983471,0.729167,0,1] precision 0.88025 [0.975207,0.733333,0.25,0.666667] precision 0.923266 [0.991667,0.8,0.5,0.833333] precision 0.90342 [0.991736,0.770833,1,0] precision 0.961799 [1,0.826087,1,1] precision 0.88201 [0.96748,0.704545,0.25,1] precision 0.904736 [0.959677,0.756098,0.666667,1] precision 0.922208 [0.991379,0.734694,0.666667,1] precision 0.917245 [0.975207,0.825,0.5,0.833333] precision 0.91965 [0.967213,0.8,0.666667,1] precision 0.926569 [0.975207,0.790698,0.75,1] precision 0.916454 [0.975207,0.790698,0.666667,0.833333] precision 0.943537 [1,0.804348,0.666667,1] precision 0.922257 [0.959677,0.820513,0.75,1] precision 0.923375 [0.967213,0.755556,1,1] precision 0.894866 [0.95122,0.738095,0.666667,1] precision 0.930847 [0.97541,0.809524,0.75,1] precision 0.919988 [0.975806,0.804878,0.5,1] precision 0.90211 [0.96748,0.75,0.5,1] precision 0.886133 [0.937008,0.74359,0.666667,1] precision 0.915359 [0.975207,0.785714,0.5,1] precision 0.876265 [0.95935,0.727273,0,1] precision 0.881543 [0.943089,0.697674,0.666667,1] precision 0.908089 [0.967213,0.780488,0.5,1] precision 0.923773 [0.991597,0.782609,0.666667,0.75] precision 0.921296 [0.983607,0.790698,0.4,1] precision 0.930804 [0.983607,0.853659,0.5,0.857143] precision 0.925386 [0.983607,0.825,0.4,1] precision 0.930555 [0.983051,0.765957,1,0.833333] precision 0.856466 [0.943548,0.714286,0,1] precision 0.917042 [0.95935,0.8,0.75,1] precision 0.904953 [0.966102,0.73913,0.666667,1] precision 0.932543 [0.991667,0.782609,0.666667,1] precision 0.941455 [0.975207,0.813953,1,1] precision 0.905707 [0.951613,0.727273,1,1] precision 0.916252 [0.97561,0.790698,0.5,1] precision 0.921578 [0.982906,0.76087,0.666667,1] precision 0.922804 [0.983051,0.765957,0.666667,1] precision 0.880663 [0.944,0.75,0.333333,1] precision 0.918831 [0.983333,0.777778,0.5,1] precision 0.932569 [0.991525,0.795455,0.6,1] predictive_accuracy 0.890173 predictive_accuracy 0.919075 predictive_accuracy 0.913295 predictive_accuracy 0.890173 predictive_accuracy 0.924855 predictive_accuracy 0.913295 predictive_accuracy 0.947977 predictive_accuracy 0.959538 predictive_accuracy 0.930636 predictive_accuracy 0.924855 predictive_accuracy 0.924855 predictive_accuracy 0.895954 predictive_accuracy 0.930636 predictive_accuracy 0.907514 predictive_accuracy 0.913295 predictive_accuracy 0.947977 predictive_accuracy 0.930636 predictive_accuracy 0.919075 predictive_accuracy 0.947977 predictive_accuracy 0.919075 predictive_accuracy 0.942197 predictive_accuracy 0.924855 predictive_accuracy 0.913295 predictive_accuracy 0.942197 predictive_accuracy 0.913295 predictive_accuracy 0.907514 predictive_accuracy 0.913295 predictive_accuracy 0.901734 predictive_accuracy 0.942197 predictive_accuracy 0.895954 predictive_accuracy 0.930636 predictive_accuracy 0.924855 predictive_accuracy 0.907514 predictive_accuracy 0.884393 predictive_accuracy 0.930636 predictive_accuracy 0.919075 predictive_accuracy 0.924855 predictive_accuracy 0.907514 predictive_accuracy 0.919075 predictive_accuracy 0.913295 predictive_accuracy 0.913295 predictive_accuracy 0.884393 predictive_accuracy 0.907514 predictive_accuracy 0.884393 predictive_accuracy 0.942197 predictive_accuracy 0.907514 predictive_accuracy 0.884393 predictive_accuracy 0.942197 predictive_accuracy 0.936416 predictive_accuracy 0.942197 predictive_accuracy 0.901734 predictive_accuracy 0.907514 predictive_accuracy 0.936416 predictive_accuracy 0.890173 predictive_accuracy 0.930636 predictive_accuracy 0.919075 predictive_accuracy 0.913295 predictive_accuracy 0.959538 predictive_accuracy 0.901734 predictive_accuracy 0.907514 predictive_accuracy 0.890173 predictive_accuracy 0.930636 predictive_accuracy 0.930636 predictive_accuracy 0.953757 predictive_accuracy 0.884393 predictive_accuracy 0.901734 predictive_accuracy 0.913295 predictive_accuracy 0.919075 predictive_accuracy 0.919075 predictive_accuracy 0.924855 predictive_accuracy 0.919075 predictive_accuracy 0.942197 predictive_accuracy 0.924855 predictive_accuracy 0.913295 predictive_accuracy 0.895954 predictive_accuracy 0.930636 predictive_accuracy 0.924855 predictive_accuracy 0.907514 predictive_accuracy 0.890173 predictive_accuracy 0.913295 predictive_accuracy 0.895349 predictive_accuracy 0.877907 predictive_accuracy 0.912791 predictive_accuracy 0.924419 predictive_accuracy 0.918605 predictive_accuracy 0.94186 predictive_accuracy 0.930233 predictive_accuracy 0.918605 predictive_accuracy 0.877907 predictive_accuracy 0.918605 predictive_accuracy 0.901163 predictive_accuracy 0.930233 predictive_accuracy 0.936047 predictive_accuracy 0.895349 predictive_accuracy 0.924419 predictive_accuracy 0.918605 predictive_accuracy 0.918605 predictive_accuracy 0.889535 predictive_accuracy 0.924419 predictive_accuracy 0.930233 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 prior_entropy 1.209911 recall 0.890173 [0.975207,0.769231,0.142857,0.833333] recall 0.919075 [0.983471,0.897436,0.142857,0.666667] recall 0.913295 [0.983471,0.871795,0.142857,0.666667] recall 0.890173 [0.966942,0.769231,0.428571,0.666667] recall 0.924855 [0.975207,0.871795,0.285714,1] recall 0.913295 [0.975207,0.846154,0.285714,0.833333] recall 0.947977 [0.983471,0.948718,0.428571,0.833333] recall 0.959538 [0.991736,0.974359,0.428571,0.833333] recall 0.930636 [0.975207,0.923077,0.428571,0.666667] recall 0.924855 [0.991736,0.923077,0.285714,0.333333] recall 0.924855 [0.983471,0.871795,0.428571,0.666667] recall 0.895954 [0.991736,0.74359,0.428571,0.5] recall 0.930636 [0.983471,0.923077,0.285714,0.666667] recall 0.907514 [0.950413,0.923077,0.285714,0.666667] recall 0.913295 [0.966942,0.794872,0.714286,0.833333] recall 0.947977 [0.991736,0.897436,0.571429,0.833333] recall 0.930636 [0.975207,0.897436,0.428571,0.833333] recall 0.919075 [0.991736,0.871795,0,0.833333] recall 0.947977 [0.991736,0.923077,0.571429,0.666667] recall 0.919075 [0.975207,0.871795,0.571429,0.5] recall 0.942197 [0.983471,0.923077,0.571429,0.666667] recall 0.924855 [0.983471,0.820513,0.571429,0.833333] recall 0.913295 [0.950413,0.923077,0.285714,0.833333] recall 0.942197 [0.991736,0.974359,0.285714,0.5] recall 0.913295 [0.975207,0.871795,0.285714,0.666667] recall 0.907514 [0.991736,0.871795,0.142857,0.333333] recall 0.913295 [0.966942,0.846154,0.428571,0.833333] recall 0.901734 [0.983471,0.846154,0,0.666667] recall 0.942197 [0.983471,0.948718,0.142857,1] recall 0.895954 [0.966942,0.897436,0.142857,0.333333] recall 0.930636 [0.983471,0.871795,0.428571,0.833333] recall 0.924855 [0.950413,0.948718,0.285714,1] recall 0.907514 [0.975207,0.871795,0,0.714286] recall 0.884393 [0.966942,0.769231,0.166667,0.714286] recall 0.930636 [0.991736,0.948718,0.142857,0.5] recall 0.919075 [0.991736,0.871795,0.166667,0.571429] recall 0.924855 [0.983471,0.871795,0.5,0.571429] recall 0.907514 [0.966942,0.868421,0.571429,0.428571] recall 0.919075 [0.975207,0.871795,0.666667,0.428571] recall 0.913295 [0.991736,0.846154,0.333333,0.428571] recall 0.913295 [0.983471,0.947368,0.142857,0.285714] recall 0.884393 [0.942149,0.842105,0.285714,0.714286] recall 0.907514 [0.991736,0.842105,0.428571,0.285714] recall 0.884393 [0.991736,0.789474,0.285714,0.142857] recall 0.942197 [0.950413,0.973684,0.571429,1] recall 0.907514 [0.950413,0.973684,0.285714,0.428571] recall 0.884393 [0.942149,0.868421,0.285714,0.571429] recall 0.942197 [0.975207,0.973684,0.285714,0.857143] recall 0.936416 [0.983471,0.973684,0.142857,0.714286] recall 0.942197 [0.991736,0.921053,0.285714,0.857143] recall 0.901734 [0.966942,0.868421,0.428571,0.428571] recall 0.907514 [0.966942,0.868421,0.285714,0.714286] recall 0.936416 [0.966942,0.947368,0.285714,1] recall 0.890173 [0.958678,0.842105,0.142857,0.714286] recall 0.930636 [0.966942,0.973684,0.428571,0.571429] recall 0.919075 [0.975207,0.973684,0.142857,0.428571] recall 0.913295 [0.975207,0.947368,0,0.571429] recall 0.959538 [0.991736,0.921053,0.857143,0.714286] recall 0.901734 [0.942149,0.973684,0.285714,0.428571] recall 0.907514 [0.983471,0.921053,0,0.428571] recall 0.890173 [0.975207,0.868421,0.142857,0.285714] recall 0.930636 [0.983471,0.947368,0.142857,0.714286] recall 0.930636 [0.991736,0.973684,0.571429,0] recall 0.953757 [0.991736,1,0.571429,0.428571] recall 0.884393 [0.983471,0.815789,0.142857,0.285714] recall 0.901734 [0.983471,0.815789,0.571429,0.285714] recall 0.913295 [0.950413,0.947368,0.285714,0.714286] recall 0.919075 [0.975207,0.868421,0.428571,0.714286] recall 0.919075 [0.975207,0.842105,0.571429,0.714286] recall 0.924855 [0.975207,0.894737,0.428571,0.714286] recall 0.919075 [0.975207,0.894737,0.285714,0.714286] recall 0.942197 [0.991736,0.973684,0.285714,0.571429] recall 0.924855 [0.983471,0.842105,0.428571,0.857143] recall 0.913295 [0.975207,0.894737,0.285714,0.571429] recall 0.895954 [0.966942,0.815789,0.285714,0.714286] recall 0.930636 [0.983471,0.894737,0.428571,0.714286] recall 0.924855 [1,0.868421,0.285714,0.571429] recall 0.907514 [0.983471,0.868421,0.142857,0.571429] recall 0.890173 [0.983471,0.763158,0.285714,0.571429] recall 0.913295 [0.975207,0.868421,0.428571,0.571429] recall 0.895349 [0.975207,0.842105,0,0.571429] recall 0.877907 [0.958678,0.789474,0.333333,0.428571] recall 0.912791 [0.975207,0.842105,0.285714,0.833333] recall 0.924419 [0.975207,0.947368,0.285714,0.5] recall 0.918605 [0.991736,0.894737,0.333333,0.285714] recall 0.94186 [0.991736,0.921053,0.142857,1] recall 0.930233 [0.991736,0.868421,0.285714,0.833333] recall 0.918605 [0.958678,0.947368,0.142857,0.833333] recall 0.877907 [0.966942,0.789474,0,0.666667] recall 0.918605 [0.975207,0.842105,0.428571,0.833333] recall 0.901163 [0.942149,0.894737,0.285714,0.833333] recall 0.930233 [0.983471,0.947368,0.285714,0.5] recall 0.936047 [0.975207,0.921053,0.571429,0.666667] recall 0.895349 [0.975207,0.842105,0.142857,0.5] recall 0.924419 [0.991736,0.894737,0.142857,0.666667] recall 0.918605 [0.950413,0.921053,0.285714,1] recall 0.918605 [0.958678,0.947368,0.285714,0.666667] recall 0.889535 [0.975207,0.769231,0.166667,0.666667] recall 0.924419 [0.975207,0.921053,0.142857,0.833333] recall 0.930233 [0.966942,0.921053,0.428571,0.833333] relative_absolute_error 0.41779 relative_absolute_error 0.404883 relative_absolute_error 0.422492 relative_absolute_error 0.422744 relative_absolute_error 0.441775 relative_absolute_error 0.455019 relative_absolute_error 0.416847 relative_absolute_error 0.402337 relative_absolute_error 0.425423 relative_absolute_error 0.406371 relative_absolute_error 0.397755 relative_absolute_error 0.405628 relative_absolute_error 0.398835 relative_absolute_error 0.477445 relative_absolute_error 0.443479 relative_absolute_error 0.407505 relative_absolute_error 0.431096 relative_absolute_error 0.463966 relative_absolute_error 0.421636 relative_absolute_error 0.416641 relative_absolute_error 0.431717 relative_absolute_error 0.433141 relative_absolute_error 0.464566 relative_absolute_error 0.401714 relative_absolute_error 0.426122 relative_absolute_error 0.416997 relative_absolute_error 0.459706 relative_absolute_error 0.443151 relative_absolute_error 0.420189 relative_absolute_error 0.466663 relative_absolute_error 0.422551 relative_absolute_error 0.448423 relative_absolute_error 0.442782 relative_absolute_error 0.463861 relative_absolute_error 0.405786 relative_absolute_error 0.436608 relative_absolute_error 0.392391 relative_absolute_error 0.419881 relative_absolute_error 0.421185 relative_absolute_error 0.402609 relative_absolute_error 0.449495 relative_absolute_error 0.487313 relative_absolute_error 0.430106 relative_absolute_error 0.426997 relative_absolute_error 0.431379 relative_absolute_error 0.494278 relative_absolute_error 0.462537 relative_absolute_error 0.420179 relative_absolute_error 0.408317 relative_absolute_error 0.449134 relative_absolute_error 0.446675 relative_absolute_error 0.419265 relative_absolute_error 0.452102 relative_absolute_error 0.456435 relative_absolute_error 0.450822 relative_absolute_error 0.427304 relative_absolute_error 0.413448 relative_absolute_error 0.410292 relative_absolute_error 0.474163 relative_absolute_error 0.437649 relative_absolute_error 0.42385 relative_absolute_error 0.44319 relative_absolute_error 0.416871 relative_absolute_error 0.408075 relative_absolute_error 0.418039 relative_absolute_error 0.454042 relative_absolute_error 0.444572 relative_absolute_error 0.435383 relative_absolute_error 0.450945 relative_absolute_error 0.467263 relative_absolute_error 0.408507 relative_absolute_error 0.426366 relative_absolute_error 0.47594 relative_absolute_error 0.435736 relative_absolute_error 0.469437 relative_absolute_error 0.435283 relative_absolute_error 0.439116 relative_absolute_error 0.45875 relative_absolute_error 0.443358 relative_absolute_error 0.424612 relative_absolute_error 0.470099 relative_absolute_error 0.461768 relative_absolute_error 0.414683 relative_absolute_error 0.426712 relative_absolute_error 0.43365 relative_absolute_error 0.395132 relative_absolute_error 0.454005 relative_absolute_error 0.444585 relative_absolute_error 0.438382 relative_absolute_error 0.407323 relative_absolute_error 0.464939 relative_absolute_error 0.421939 relative_absolute_error 0.409203 relative_absolute_error 0.421928 relative_absolute_error 0.420404 relative_absolute_error 0.42555 relative_absolute_error 0.409537 relative_absolute_error 0.426426 relative_absolute_error 0.438909 relative_absolute_error 0.467 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338082 root_mean_prior_squared_error 0.338082 root_mean_prior_squared_error 0.338072 root_mean_prior_squared_error 0.338082 root_mean_prior_squared_error 0.338082 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338082 root_mean_prior_squared_error 0.338082 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.338858 root_mean_prior_squared_error 0.336704 root_mean_prior_squared_error 0.336704 root_mean_prior_squared_error 0.336694 root_mean_prior_squared_error 0.336694 root_mean_prior_squared_error 0.336704 root_mean_prior_squared_error 0.336694 root_mean_prior_squared_error 0.336694 root_mean_prior_squared_error 0.336694 root_mean_prior_squared_error 0.336694 root_mean_prior_squared_error 0.336694 root_mean_prior_squared_error 0.336694 root_mean_prior_squared_error 0.336694 root_mean_prior_squared_error 0.336694 root_mean_prior_squared_error 0.336694 root_mean_prior_squared_error 0.336694 root_mean_prior_squared_error 0.336694 root_mean_prior_squared_error 0.336694 root_mean_prior_squared_error 0.335908 root_mean_prior_squared_error 0.336694 root_mean_prior_squared_error 0.336694 root_mean_squared_error 0.200373 root_mean_squared_error 0.195609 root_mean_squared_error 0.198696 root_mean_squared_error 0.200754 root_mean_squared_error 0.204576 root_mean_squared_error 0.207715 root_mean_squared_error 0.194506 root_mean_squared_error 0.190785 root_mean_squared_error 0.200035 root_mean_squared_error 0.193811 root_mean_squared_error 0.190583 root_mean_squared_error 0.19831 root_mean_squared_error 0.192529 root_mean_squared_error 0.211829 root_mean_squared_error 0.20421 root_mean_squared_error 0.193727 root_mean_squared_error 0.200183 root_mean_squared_error 0.209644 root_mean_squared_error 0.199451 root_mean_squared_error 0.197793 root_mean_squared_error 0.199361 root_mean_squared_error 0.201369 root_mean_squared_error 0.208544 root_mean_squared_error 0.191209 root_mean_squared_error 0.202895 root_mean_squared_error 0.198307 root_mean_squared_error 0.207897 root_mean_squared_error 0.205916 root_mean_squared_error 0.197474 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