477101 531 Florian Fendt 4627 Supervised Classification predictive_accuracy 1761 classif.rpart(35) 2386 xval 0 1761 seed 1 1761 kind Mersenne-Twister 1761 normal.kind Inversion 1761 1074 desharnais https://www.openml.org/data/download/53957/desharnais.arff -1 1682274 description https://api.openml.org/data/download/1682274/file24281bc38a6b -1 1682275 predictions https://api.openml.org/data/download/1682275/file242842b4850a area_under_roc_curve 0.679724 [0.716183,0.707507,0.442556] average_cost 0 f_measure 0.642714 [0.77175,0.657143,0.013072] kappa 0.378123 kb_relative_information_score 233.225074 mean_absolute_error 0.280614 mean_prior_absolute_error 0.380364 number_of_instances 810 [460,250,100] precision 0.623494 [0.729207,0.670833,0.018868] predictive_accuracy 0.665432 prior_entropy 1.376474 recall 0.665432 [0.819565,0.644,0.01] relative_absolute_error 0.73775 root_mean_prior_squared_error 0.434785 root_mean_squared_error 0.401397 root_relative_squared_error 0.923207 total_cost 0 area_under_roc_curve 0.763889 [0.775,0.916667,0.25] area_under_roc_curve 0.805556 [0.9,0.833333,0.25] area_under_roc_curve 0.796296 [0.825,0.805556,0.625] area_under_roc_curve 0.881944 [1,0.916667,0.1875] area_under_roc_curve 0.488426 [0.425,0.611111,0.4375] area_under_roc_curve 0.75 [0.75,0.833333,0.5] area_under_roc_curve 0.409722 [0.525,0.333333,0.0625] area_under_roc_curve 0.736111 [0.75,0.833333,0.375] area_under_roc_curve 0.865741 [0.875,0.805556,1] area_under_roc_curve 0.75 [0.875,0.75,0.125] area_under_roc_curve 0.821429 [0.8,1,0.571429] area_under_roc_curve 0.723214 [0.733333,0.916667,0.285714] area_under_roc_curve 0.772321 [0.766667,0.958333,0.428571] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.732143 [0.75,0.833333,0.357143] area_under_roc_curve 0.848214 [0.875,1,0.285714] area_under_roc_curve 0.822917 [0.833333,0.708333,1] area_under_roc_curve 0.690476 [0.833333,0.5,0.357143] area_under_roc_curve 0.425595 [0.4,0.416667,0.571429] area_under_roc_curve 0.520833 [0.666667,0.416667,0] area_under_roc_curve 0.71131 [0.733333,0.583333,0.857143] area_under_roc_curve 0.5 [0.5,0.5,0.5] area_under_roc_curve 0.776786 [0.8,0.75,0.714286] area_under_roc_curve 0.815476 [0.833333,1,0.357143] area_under_roc_curve 0.725 [0.75,0.6,1] area_under_roc_curve 0.630357 [0.625,0.8,0.142857] area_under_roc_curve 0.815476 [0.833333,1,0.357143] area_under_roc_curve 0.407738 [0.4,0.416667,0.428571] area_under_roc_curve 0.797619 [0.9,0.833333,0.214286] area_under_roc_curve 0.723214 [0.733333,0.916667,0.285714] area_under_roc_curve 0.833333 [0.833333,1,0.5] area_under_roc_curve 0.815476 [0.833333,1,0.357143] area_under_roc_curve 0.526786 [0.533333,0.416667,0.714286] area_under_roc_curve 0.815476 [0.833333,1,0.357143] area_under_roc_curve 0.623214 [0.625,0.733333,0.285714] area_under_roc_curve 0.848214 [0.875,1,0.285714] area_under_roc_curve 0.872024 [1,0.916667,0.142857] area_under_roc_curve 0.822917 [0.833333,0.708333,1] area_under_roc_curve 0.5 [0.5,0.5,0.5] area_under_roc_curve 0.815476 [0.833333,1,0.357143] area_under_roc_curve 0.869048 [0.9,0.833333,0.785714] area_under_roc_curve 0.96131 [1,0.916667,0.857143] area_under_roc_curve 0.5 [0.5,0.5,0.5] area_under_roc_curve 0.675595 [0.7,0.666667,0.571429] area_under_roc_curve 0.848214 [0.875,1,0.285714] area_under_roc_curve 0.876339 [0.90625,0.866667,0.785714] area_under_roc_curve 0.675595 [0.666667,0.75,0.571429] area_under_roc_curve 0.721726 [0.733333,0.875,0.357143] area_under_roc_curve 0.614583 [0.6,0.708333,0.5] area_under_roc_curve 0.614583 [0.6,0.708333,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5] area_under_roc_curve 0.776786 [0.8,0.75,0.714286] area_under_roc_curve 0.815476 [0.833333,1,0.357143] area_under_roc_curve 0.755952 [0.766667,1,0.214286] area_under_roc_curve 0.925595 [1,0.916667,0.571429] area_under_roc_curve 0.822917 [0.833333,0.708333,1] area_under_roc_curve 0.815476 [0.833333,1,0.357143] area_under_roc_curve 0.357143 [0.433333,0.166667,0.357143] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.848214 [0.875,1,0.285714] area_under_roc_curve 0.732143 [0.75,0.833333,0.357143] area_under_roc_curve 0.611161 [0.71875,0.6,0.214286] area_under_roc_curve 0.676786 [0.625,0.733333,0.714286] area_under_roc_curve 0.514286 [0.5,0.466667,0.714286] area_under_roc_curve 0.869048 [0.9,0.833333,0.785714] area_under_roc_curve 0.833333 [0.833333,1,0.5] area_under_roc_curve 0.83125 [0.8125,0.966667,0.5] area_under_roc_curve 0.9 [1,0.9,0.5] area_under_roc_curve 0.866071 [0.875,1,0.428571] area_under_roc_curve 0.594643 [0.625,0.466667,0.857143] area_under_roc_curve 0.633929 [0.625,0.666667,0.571429] area_under_roc_curve 0.717857 [0.75,0.7,0.642857] area_under_roc_curve 0.626786 [0.625,0.766667,0.214286] area_under_roc_curve 0.75 [0.75,0.833333,0.5] area_under_roc_curve 0.797619 [0.9,0.833333,0.214286] area_under_roc_curve 0.696429 [0.833333,0.666667,0.071429] area_under_roc_curve 0.601786 [0.625,0.533333,0.714286] area_under_roc_curve 0.637946 [0.59375,0.766667,0.428571] area_under_roc_curve 0.623214 [0.625,0.733333,0.285714] area_under_roc_curve 0.710714 [0.75,0.633333,0.785714] area_under_roc_curve 0.717857 [0.75,0.7,0.642857] area_under_roc_curve 0.75 [0.75,0.833333,0.5] area_under_roc_curve 0.75 [0.75,0.833333,0.5] area_under_roc_curve 0.505357 [0.625,0.466667,0.142857] area_under_roc_curve 0.425595 [0.4,0.416667,0.571429] area_under_roc_curve 0.473214 [0.466667,0.583333,0.285714] area_under_roc_curve 0.341964 [0.3125,0.4,0.285714] area_under_roc_curve 0.852679 [0.8125,1,0.571429] area_under_roc_curve 0.499107 [0.5625,0.533333,0.142857] area_under_roc_curve 0.819643 [0.875,0.733333,0.857143] area_under_roc_curve 0.676786 [0.625,0.9,0.214286] area_under_roc_curve 0.633929 [0.625,0.666667,0.571429] area_under_roc_curve 0.676786 [0.625,0.9,0.214286] area_under_roc_curve 0.702232 [0.84375,0.7,0.142857] area_under_roc_curve 0.785714 [0.8,1,0.285714] area_under_roc_curve 0.675595 [0.666667,0.75,0.571429] area_under_roc_curve 0.710714 [0.75,0.633333,0.785714] area_under_roc_curve 0.739286 [0.75,0.9,0.214286] area_under_roc_curve 0.901786 [0.875,1,0.714286] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.730159 [0.8,0.857143,0] f_measure 0.743827 [0.888889,0.75,0] f_measure 0.592593 [0.666667,0.666667,0] f_measure 0.84127 [1,0.857143,0] f_measure 0.380247 [0.444444,0.4,0] f_measure 0.62963 [0.833333,0.5,0] f_measure 0.37037 [0.666667,0,0] f_measure 0.72963 [0.833333,0.8,0] f_measure 0.72963 [0.833333,0.8,0] f_measure 0.727273 [0.909091,0.666667,0] f_measure 0.75 [0.8,1,0] f_measure 0.7 [0.8,0.8,0] f_measure 0.666667 [0.8,0.666667,0] f_measure 0.818182 [0.909091,1,0] f_measure 0.818182 [0.909091,1,0] f_measure 0.7 [0.8,0.8,0] f_measure 0.819444 [0.888889,1,0] f_measure 0.6875 [0.833333,0.666667,0] f_measure 0.734848 [0.909091,0.666667,0] f_measure 0.416667 [0.666667,0,0] f_measure 0.520833 [0.833333,0,0] f_measure 0.6 [0.8,0.4,0] f_measure 0.480769 [0.769231,0,0] f_measure 0.611607 [0.75,0.571429,0] f_measure 0.818182 [0.909091,1,0] f_measure 0.551136 [0.727273,0.5,0] f_measure 0.566964 [0.571429,0.75,0] f_measure 0.818182 [0.909091,1,0] f_measure 0.416667 [0.666667,0,0] f_measure 0.722222 [0.888889,0.666667,0] f_measure 0.7 [0.8,0.8,0] f_measure 0.734848 [0.909091,0.666667,0] f_measure 0.818182 [0.909091,1,0] f_measure 0.383929 [0.5,0.285714,0] f_measure 0.818182 [0.909091,1,0] f_measure 0.583333 [0.666667,0.666667,0] f_measure 0.819444 [0.888889,1,0] f_measure 0.825 [1,0.8,0] f_measure 0.6875 [0.833333,0.666667,0] f_measure 0.480769 [0.769231,0,0] f_measure 0.818182 [0.909091,1,0] f_measure 0.722222 [0.888889,0.666667,0] f_measure 0.825 [1,0.8,0] f_measure 0.480769 [0.769231,0,0] f_measure 0.579545 [0.727273,0.5,0] f_measure 0.819444 [0.888889,1,0] f_measure 0.666071 [0.857143,0.5,0.4] f_measure 0.6875 [0.833333,0.666667,0] f_measure 0.541667 [0.666667,0.5,0] f_measure 0.621212 [0.727273,0.666667,0] f_measure 0.621212 [0.727273,0.666667,0] f_measure 0.480769 [0.769231,0,0] f_measure 0.611607 [0.75,0.571429,0] f_measure 0.818182 [0.909091,1,0] f_measure 0.666667 [0.666667,1,0] f_measure 0.66875 [0.75,0.8,0] f_measure 0.6875 [0.833333,0.666667,0] f_measure 0.818182 [0.909091,1,0] f_measure 0.277778 [0.444444,0,0] f_measure 0.818182 [0.909091,1,0] f_measure 0.819444 [0.888889,1,0] f_measure 0.7 [0.8,0.8,0] f_measure 0.625 [0.75,0.666667,0] f_measure 0.583333 [0.666667,0.666667,0] f_measure 0.409722 [0.444444,0.5,0] f_measure 0.722222 [0.888889,0.666667,0] f_measure 0.734848 [0.909091,0.666667,0] f_measure 0.675 [0.75,0.8,0] f_measure 0.654762 [0.666667,0.857143,0] f_measure 0.631944 [0.888889,0.5,0] f_measure 0.458333 [0.666667,0.333333,0] f_measure 0.551136 [0.727273,0.5,0] f_measure 0.583333 [0.666667,0.666667,0] f_measure 0.464286 [0.5,0.571429,0] f_measure 0.5875 [0.8,0.5,0] f_measure 0.635417 [0.75,0.666667,0] f_measure 0.693182 [0.909091,0.5,0] f_measure 0.473214 [0.571429,0.5,0] f_measure 0.435714 [0.571429,0.4,0] f_measure 0.583333 [0.666667,0.666667,0] f_measure 0.589286 [0.75,0.571429,0] f_measure 0.583333 [0.666667,0.666667,0] f_measure 0.5875 [0.8,0.5,0] f_measure 0.5875 [0.8,0.5,0] f_measure 0.458333 [0.666667,0.333333,0] f_measure 0.416667 [0.666667,0,0] f_measure 0.475 [0.6,0.4,0] f_measure 0.2 [0.4,0,0] f_measure 0.607143 [0.571429,0.857143,0] f_measure 0.5 [0.571429,0.571429,0] f_measure 0.694444 [0.888889,0.666667,0] f_measure 0.55 [0.5,0.8,0] f_measure 0.551136 [0.727273,0.5,0] f_measure 0.55 [0.5,0.8,0] f_measure 0.625 [0.75,0.666667,0] f_measure 0.75 [0.8,1,0] f_measure 0.6875 [0.833333,0.666667,0] f_measure 0.589286 [0.75,0.571429,0] f_measure 0.696429 [0.75,0.857143,0] f_measure 0.660714 [0.571429,1,0] kappa 0.590909 kappa 0.608696 kappa 0.28 kappa 0.795455 kappa -0.038462 kappa 0.357143 kappa -0.125 kappa 0.55 kappa 0.55 kappa 0.571429 kappa 0.529412 kappa 0.515152 kappa 0.314286 kappa 0.733333 kappa 0.733333 kappa 0.529412 kappa 0.771429 kappa 0.407407 kappa 0.483871 kappa -0.185185 kappa 0.111111 kappa 0.272727 kappa 0 kappa 0.384615 kappa 0.733333 kappa 0.272727 kappa 0.351351 kappa 0.733333 kappa -0.142857 kappa 0.555556 kappa 0.515152 kappa 0.483871 kappa 0.733333 kappa -0.025641 kappa 0.733333 kappa 0.314286 kappa 0.771429 kappa 0.757576 kappa 0.407407 kappa 0 kappa 0.733333 kappa 0.555556 kappa 0.757576 kappa 0 kappa 0.2 kappa 0.771429 kappa 0.466667 kappa 0.407407 kappa 0.157895 kappa 0.225806 kappa 0.225806 kappa 0 kappa 0.384615 kappa 0.733333 kappa 0.368421 kappa 0.414634 kappa 0.407407 kappa 0.733333 kappa -0.263158 kappa 0.733333 kappa 0.771429 kappa 0.529412 kappa 0.368421 kappa 0.314286 kappa -0.025641 kappa 0.555556 kappa 0.483871 kappa 0.4 kappa 0.428571 kappa 0.384615 kappa 0.085714 kappa 0.272727 kappa 0.368421 kappa 0.111111 kappa 0.333333 kappa 0.4 kappa 0.466667 kappa 0.135135 kappa 0.069767 kappa 0.314286 kappa 0.333333 kappa 0.368421 kappa 0.333333 kappa 0.333333 kappa 0.085714 kappa -0.185185 kappa 0.030303 kappa -0.411765 kappa 0.384615 kappa 0.179487 kappa 0.542857 kappa 0.2 kappa 0.272727 kappa 0.2 kappa 0.368421 kappa 0.529412 kappa 0.407407 kappa 0.333333 kappa 0.555556 kappa 0.414634 kb_relative_information_score 3.630659 kb_relative_information_score 3.53827 kb_relative_information_score 2.64768 kb_relative_information_score 4.615441 kb_relative_information_score -0.469168 kb_relative_information_score 2.436271 kb_relative_information_score -0.396346 kb_relative_information_score 3.447566 kb_relative_information_score 4.15615 kb_relative_information_score 3.399517 kb_relative_information_score 2.767051 kb_relative_information_score 2.559017 kb_relative_information_score 1.78334 kb_relative_information_score 4.296331 kb_relative_information_score 4.804624 kb_relative_information_score 3.474056 kb_relative_information_score 4.299378 kb_relative_information_score 3.142912 kb_relative_information_score 2.575145 kb_relative_information_score 0.062202 kb_relative_information_score 1.014694 kb_relative_information_score 1.197769 kb_relative_information_score 1.654586 kb_relative_information_score 1.557277 kb_relative_information_score 3.579687 kb_relative_information_score 2.653135 kb_relative_information_score 2.154113 kb_relative_information_score 3.579687 kb_relative_information_score 0.683098 kb_relative_information_score 2.556236 kb_relative_information_score 2.47317 kb_relative_information_score 2.568392 kb_relative_information_score 3.579687 kb_relative_information_score -0.684764 kb_relative_information_score 3.579687 kb_relative_information_score 2.077394 kb_relative_information_score 4.299378 kb_relative_information_score 3.539698 kb_relative_information_score 3.142912 kb_relative_information_score 1.196773 kb_relative_information_score 4.016793 kb_relative_information_score 2.609222 kb_relative_information_score 4.047991 kb_relative_information_score 1.196773 kb_relative_information_score 1.297979 kb_relative_information_score 4.299378 kb_relative_information_score 2.938906 kb_relative_information_score 2.420495 kb_relative_information_score 1.237301 kb_relative_information_score 1.514784 kb_relative_information_score 1.594505 kb_relative_information_score 1.654586 kb_relative_information_score 1.322428 kb_relative_information_score 4.016793 kb_relative_information_score 2.178652 kb_relative_information_score 2.76702 kb_relative_information_score 3.142912 kb_relative_information_score 4.016793 kb_relative_information_score -1.203045 kb_relative_information_score 4.804624 kb_relative_information_score 4.625118 kb_relative_information_score 3.139235 kb_relative_information_score 2.129156 kb_relative_information_score 2.127496 kb_relative_information_score 1.595603 kb_relative_information_score 2.609222 kb_relative_information_score 3.005498 kb_relative_information_score 2.543092 kb_relative_information_score 3.400003 kb_relative_information_score 2.58705 kb_relative_information_score 0.667955 kb_relative_information_score 1.910658 kb_relative_information_score 1.827986 kb_relative_information_score 1.572243 kb_relative_information_score 2.462761 kb_relative_information_score 2.067668 kb_relative_information_score 2.305664 kb_relative_information_score 0.819661 kb_relative_information_score 0.53445 kb_relative_information_score 2.004001 kb_relative_information_score 1.746514 kb_relative_information_score 1.939247 kb_relative_information_score 2.12794 kb_relative_information_score 2.12794 kb_relative_information_score 0.698337 kb_relative_information_score 0.0395 kb_relative_information_score 0.392852 kb_relative_information_score -1.563333 kb_relative_information_score 2.794602 kb_relative_information_score 0.605944 kb_relative_information_score 2.606646 kb_relative_information_score 1.962248 kb_relative_information_score 1.910658 kb_relative_information_score 1.962248 kb_relative_information_score 2.233259 kb_relative_information_score 3.092792 kb_relative_information_score 2.420495 kb_relative_information_score 1.746514 kb_relative_information_score 3.334421 kb_relative_information_score 4.06414 mean_absolute_error 0.24093 mean_absolute_error 0.245276 mean_absolute_error 0.268216 mean_absolute_error 0.195484 mean_absolute_error 0.414777 mean_absolute_error 0.279223 mean_absolute_error 0.410142 mean_absolute_error 0.242186 mean_absolute_error 0.236461 mean_absolute_error 0.244553 mean_absolute_error 0.245398 mean_absolute_error 0.259404 mean_absolute_error 0.287944 mean_absolute_error 0.19948 mean_absolute_error 0.168301 mean_absolute_error 0.23103 mean_absolute_error 0.20058 mean_absolute_error 0.250496 mean_absolute_error 0.250658 mean_absolute_error 0.37303 mean_absolute_error 0.325401 mean_absolute_error 0.321429 mean_absolute_error 0.284188 mean_absolute_error 0.307381 mean_absolute_error 0.206597 mean_absolute_error 0.299107 mean_absolute_error 0.312917 mean_absolute_error 0.206597 mean_absolute_error 0.333028 mean_absolute_error 0.258542 mean_absolute_error 0.264468 mean_absolute_error 0.248264 mean_absolute_error 0.206597 mean_absolute_error 0.418561 mean_absolute_error 0.206597 mean_absolute_error 0.307023 mean_absolute_error 0.20058 mean_absolute_error 0.208583 mean_absolute_error 0.250496 mean_absolute_error 0.313406 mean_absolute_error 0.180217 mean_absolute_error 0.254045 mean_absolute_error 0.177404 mean_absolute_error 0.313406 mean_absolute_error 0.316126 mean_absolute_error 0.20058 mean_absolute_error 0.282756 mean_absolute_error 0.257839 mean_absolute_error 0.310053 mean_absolute_error 0.302121 mean_absolute_error 0.297371 mean_absolute_error 0.284188 mean_absolute_error 0.325089 mean_absolute_error 0.180217 mean_absolute_error 0.270809 mean_absolute_error 0.235326 mean_absolute_error 0.250496 mean_absolute_error 0.180217 mean_absolute_error 0.430995 mean_absolute_error 0.168301 mean_absolute_error 0.181023 mean_absolute_error 0.251736 mean_absolute_error 0.305308 mean_absolute_error 0.30304 mean_absolute_error 0.342643 mean_absolute_error 0.254045 mean_absolute_error 0.221883 mean_absolute_error 0.27918 mean_absolute_error 0.234462 mean_absolute_error 0.265476 mean_absolute_error 0.372449 mean_absolute_error 0.307484 mean_absolute_error 0.330363 mean_absolute_error 0.325687 mean_absolute_error 0.272696 mean_absolute_error 0.277201 mean_absolute_error 0.265046 mean_absolute_error 0.374109 mean_absolute_error 0.374259 mean_absolute_error 0.311343 mean_absolute_error 0.325362 mean_absolute_error 0.327381 mean_absolute_error 0.293403 mean_absolute_error 0.293403 mean_absolute_error 0.372449 mean_absolute_error 0.374457 mean_absolute_error 0.360615 mean_absolute_error 0.480868 mean_absolute_error 0.270574 mean_absolute_error 0.387513 mean_absolute_error 0.283234 mean_absolute_error 0.305409 mean_absolute_error 0.307484 mean_absolute_error 0.305409 mean_absolute_error 0.297024 mean_absolute_error 0.22584 mean_absolute_error 0.257839 mean_absolute_error 0.325362 mean_absolute_error 0.249583 mean_absolute_error 0.231485 mean_prior_absolute_error 0.380952 mean_prior_absolute_error 0.380952 mean_prior_absolute_error 0.380952 mean_prior_absolute_error 0.380952 mean_prior_absolute_error 0.380952 mean_prior_absolute_error 0.380952 mean_prior_absolute_error 0.380952 mean_prior_absolute_error 0.380952 mean_prior_absolute_error 0.380952 mean_prior_absolute_error 0.380952 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.371032 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 mean_prior_absolute_error 0.391865 number_of_instances 9 [5,3,1] number_of_instances 9 [5,3,1] number_of_instances 9 [5,3,1] number_of_instances 9 [5,3,1] number_of_instances 9 [5,3,1] number_of_instances 9 [5,3,1] number_of_instances 9 [5,3,1] number_of_instances 9 [5,3,1] number_of_instances 9 [5,3,1] number_of_instances 9 [5,3,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [5,2,1] number_of_instances 8 [5,2,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] number_of_instances 8 [4,3,1] precision 0.694444 [0.8,0.75,0] precision 0.755556 [1,0.6,0] precision 0.638889 [0.75,0.666667,0] precision 0.805556 [1,0.75,0] precision 0.444444 [0.5,0.5,0] precision 0.730159 [0.714286,1,0] precision 0.31746 [0.571429,0,0] precision 0.730159 [0.714286,1,0] precision 0.730159 [0.714286,1,0] precision 0.685185 [0.833333,0.666667,0] precision 0.75 [0.8,1,0] precision 0.666667 [0.8,0.666667,0] precision 0.75 [0.8,1,0] precision 0.770833 [0.833333,1,0] precision 0.770833 [0.833333,1,0] precision 0.708333 [0.666667,1,0] precision 0.775 [0.8,1,0] precision 0.696429 [0.714286,1,0] precision 0.770833 [0.833333,1,0] precision 0.357143 [0.571429,0,0] precision 0.446429 [0.714286,0,0] precision 0.583333 [0.8,0.333333,0] precision 0.390625 [0.625,0,0] precision 0.725 [1,0.4,0] precision 0.770833 [0.833333,1,0] precision 0.660714 [0.571429,1,0] precision 0.558333 [0.666667,0.6,0] precision 0.770833 [0.833333,1,0] precision 0.357143 [0.571429,0,0] precision 0.75 [1,0.5,0] precision 0.666667 [0.8,0.666667,0] precision 0.770833 [0.833333,1,0] precision 0.770833 [0.833333,1,0] precision 0.466667 [0.666667,0.2,0] precision 0.770833 [0.833333,1,0] precision 0.55 [0.6,0.666667,0] precision 0.775 [0.8,1,0] precision 0.791667 [1,0.666667,0] precision 0.696429 [0.714286,1,0] precision 0.390625 [0.625,0,0] precision 0.770833 [0.833333,1,0] precision 0.75 [1,0.5,0] precision 0.791667 [1,0.666667,0] precision 0.390625 [0.625,0,0] precision 0.541667 [0.666667,0.5,0] precision 0.775 [0.8,1,0] precision 0.90625 [1,1,0.25] precision 0.696429 [0.714286,1,0] precision 0.59375 [0.75,0.5,0] precision 0.666667 [0.666667,1,0] precision 0.666667 [0.666667,1,0] precision 0.390625 [0.625,0,0] precision 0.725 [1,0.4,0] precision 0.770833 [0.833333,1,0] precision 0.71875 [0.75,1,0] precision 0.791667 [1,0.666667,0] precision 0.696429 [0.714286,1,0] precision 0.770833 [0.833333,1,0] precision 0.3125 [0.5,0,0] precision 0.770833 [0.833333,1,0] precision 0.775 [0.8,1,0] precision 0.708333 [0.666667,1,0] precision 0.625 [0.75,0.666667,0] precision 0.55 [0.6,0.666667,0] precision 0.575 [0.4,1,0] precision 0.75 [1,0.5,0] precision 0.770833 [0.833333,1,0] precision 0.75 [0.75,1,0] precision 0.78125 [1,0.75,0] precision 0.775 [0.8,1,0] precision 0.425 [0.6,0.333333,0] precision 0.660714 [0.571429,1,0] precision 0.6875 [1,0.5,0] precision 0.4375 [0.5,0.5,0] precision 0.708333 [0.666667,1,0] precision 0.75 [1,0.5,0] precision 0.645833 [0.833333,0.5,0] precision 0.483333 [0.666667,0.4,0] precision 0.520833 [0.666667,0.5,0] precision 0.55 [0.6,0.666667,0] precision 0.5625 [0.75,0.5,0] precision 0.6875 [1,0.5,0] precision 0.708333 [0.666667,1,0] precision 0.708333 [0.666667,1,0] precision 0.425 [0.6,0.333333,0] precision 0.357143 [0.571429,0,0] precision 0.458333 [0.6,0.333333,0] precision 0.166667 [0.333333,0,0] precision 0.614583 [0.666667,0.75,0] precision 0.520833 [0.666667,0.5,0] precision 0.65 [0.8,0.666667,0] precision 0.625 [0.5,1,0] precision 0.660714 [0.571429,1,0] precision 0.625 [0.5,1,0] precision 0.625 [0.75,0.666667,0] precision 0.75 [0.8,1,0] precision 0.696429 [0.714286,1,0] precision 0.5625 [0.75,0.5,0] precision 0.65625 [0.75,0.75,0] precision 0.708333 [0.666667,1,0] predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.555556 predictive_accuracy 0.888889 predictive_accuracy 0.333333 predictive_accuracy 0.666667 predictive_accuracy 0.444444 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.777778 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.5 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.875 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.875 predictive_accuracy 0.5 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.375 predictive_accuracy 0.875 predictive_accuracy 0.625 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.875 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.5 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.875 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.25 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.375 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.5 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.5 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.5 predictive_accuracy 0.375 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.625 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.25 predictive_accuracy 0.625 predictive_accuracy 0.5 predictive_accuracy 0.75 predictive_accuracy 0.5 predictive_accuracy 0.625 predictive_accuracy 0.5 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.625 predictive_accuracy 0.75 predictive_accuracy 0.625 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 prior_entropy 1.376474 recall 0.777778 [0.8,1,0] recall 0.777778 [0.8,1,0] recall 0.555556 [0.6,0.666667,0] recall 0.888889 [1,1,0] recall 0.333333 [0.4,0.333333,0] recall 0.666667 [1,0.333333,0] recall 0.444444 [0.8,0,0] recall 0.777778 [1,0.666667,0] recall 0.777778 [1,0.666667,0] recall 0.777778 [1,0.666667,0] recall 0.75 [0.8,1,0] recall 0.75 [0.8,1,0] recall 0.625 [0.8,0.5,0] recall 0.875 [1,1,0] recall 0.875 [1,1,0] recall 0.75 [1,0.666667,0] recall 0.875 [1,1,0] recall 0.75 [1,0.5,0] recall 0.75 [1,0.5,0] recall 0.5 [0.8,0,0] recall 0.625 [1,0,0] recall 0.625 [0.8,0.5,0] recall 0.625 [1,0,0] recall 0.625 [0.6,1,0] recall 0.875 [1,1,0] recall 0.625 [1,0.333333,0] recall 0.625 [0.5,1,0] recall 0.875 [1,1,0] recall 0.5 [0.8,0,0] recall 0.75 [0.8,1,0] recall 0.75 [0.8,1,0] recall 0.75 [1,0.5,0] recall 0.875 [1,1,0] recall 0.375 [0.4,0.5,0] recall 0.875 [1,1,0] recall 0.625 [0.75,0.666667,0] recall 0.875 [1,1,0] recall 0.875 [1,1,0] recall 0.75 [1,0.5,0] recall 0.625 [1,0,0] recall 0.875 [1,1,0] recall 0.75 [0.8,1,0] recall 0.875 [1,1,0] recall 0.625 [1,0,0] recall 0.625 [0.8,0.5,0] recall 0.875 [1,1,0] recall 0.625 [0.75,0.333333,1] recall 0.75 [1,0.5,0] recall 0.5 [0.6,0.5,0] recall 0.625 [0.8,0.5,0] recall 0.625 [0.8,0.5,0] recall 0.625 [1,0,0] recall 0.625 [0.6,1,0] recall 0.875 [1,1,0] recall 0.625 [0.6,1,0] recall 0.625 [0.6,1,0] recall 0.75 [1,0.5,0] recall 0.875 [1,1,0] recall 0.25 [0.4,0,0] recall 0.875 [1,1,0] recall 0.875 [1,1,0] recall 0.75 [1,0.666667,0] recall 0.625 [0.75,0.666667,0] recall 0.625 [0.75,0.666667,0] recall 0.375 [0.5,0.333333,0] recall 0.75 [0.8,1,0] recall 0.75 [1,0.5,0] recall 0.625 [0.75,0.666667,0] recall 0.625 [0.5,1,0] recall 0.625 [1,0.333333,0] recall 0.5 [0.75,0.333333,0] recall 0.625 [1,0.333333,0] recall 0.625 [0.5,1,0] recall 0.5 [0.5,0.666667,0] recall 0.625 [1,0.333333,0] recall 0.625 [0.6,1,0] recall 0.75 [1,0.5,0] recall 0.5 [0.5,0.666667,0] recall 0.375 [0.5,0.333333,0] recall 0.625 [0.75,0.666667,0] recall 0.625 [0.75,0.666667,0] recall 0.625 [0.5,1,0] recall 0.625 [1,0.333333,0] recall 0.625 [1,0.333333,0] recall 0.5 [0.75,0.333333,0] recall 0.5 [0.8,0,0] recall 0.5 [0.6,0.5,0] recall 0.25 [0.5,0,0] recall 0.625 [0.5,1,0] recall 0.5 [0.5,0.666667,0] recall 0.75 [1,0.666667,0] recall 0.5 [0.5,0.666667,0] recall 0.625 [1,0.333333,0] recall 0.5 [0.5,0.666667,0] recall 0.625 [0.75,0.666667,0] recall 0.75 [0.8,1,0] recall 0.75 [1,0.5,0] recall 0.625 [0.75,0.666667,0] recall 0.75 [0.75,1,0] recall 0.625 [0.5,1,0] relative_absolute_error 0.63244 relative_absolute_error 0.643849 relative_absolute_error 0.704067 relative_absolute_error 0.513145 relative_absolute_error 1.08879 relative_absolute_error 0.732959 relative_absolute_error 1.076624 relative_absolute_error 0.635737 relative_absolute_error 0.620711 relative_absolute_error 0.641953 relative_absolute_error 0.661394 relative_absolute_error 0.699142 relative_absolute_error 0.776063 relative_absolute_error 0.537635 relative_absolute_error 0.453602 relative_absolute_error 0.589565 relative_absolute_error 0.511861 relative_absolute_error 0.675134 relative_absolute_error 0.67557 relative_absolute_error 1.005386 relative_absolute_error 0.877018 relative_absolute_error 0.86631 relative_absolute_error 0.76594 relative_absolute_error 0.82845 relative_absolute_error 0.556818 relative_absolute_error 0.763291 relative_absolute_error 0.798532 relative_absolute_error 0.556818 relative_absolute_error 0.897573 relative_absolute_error 0.696818 relative_absolute_error 0.71279 relative_absolute_error 0.669117 relative_absolute_error 0.556818 relative_absolute_error 1.128099 relative_absolute_error 0.556818 relative_absolute_error 0.783491 relative_absolute_error 0.511861 relative_absolute_error 0.562171 relative_absolute_error 0.675134 relative_absolute_error 0.844688 relative_absolute_error 0.485718 relative_absolute_error 0.684698 relative_absolute_error 0.478138 relative_absolute_error 0.844688 relative_absolute_error 0.85202 relative_absolute_error 0.511861 relative_absolute_error 0.721565 relative_absolute_error 0.694924 relative_absolute_error 0.835651 relative_absolute_error 0.814272 relative_absolute_error 0.801471 relative_absolute_error 0.76594 relative_absolute_error 0.876176 relative_absolute_error 0.485718 relative_absolute_error 0.729881 relative_absolute_error 0.634247 relative_absolute_error 0.675134 relative_absolute_error 0.485718 relative_absolute_error 1.161613 relative_absolute_error 0.453602 relative_absolute_error 0.461951 relative_absolute_error 0.642405 relative_absolute_error 0.779114 relative_absolute_error 0.773327 relative_absolute_error 0.874391 relative_absolute_error 0.684698 relative_absolute_error 0.598017 relative_absolute_error 0.712439 relative_absolute_error 0.598322 relative_absolute_error 0.677469 relative_absolute_error 0.950452 relative_absolute_error 0.784668 relative_absolute_error 0.843052 relative_absolute_error 0.831121 relative_absolute_error 0.695893 relative_absolute_error 0.747108 relative_absolute_error 0.714349 relative_absolute_error 0.954688 relative_absolute_error 0.955072 relative_absolute_error 0.794515 relative_absolute_error 0.830292 relative_absolute_error 0.835443 relative_absolute_error 0.748734 relative_absolute_error 0.748734 relative_absolute_error 0.950452 relative_absolute_error 1.009231 relative_absolute_error 0.971925 relative_absolute_error 1.227128 relative_absolute_error 0.690477 relative_absolute_error 0.988893 relative_absolute_error 0.722785 relative_absolute_error 0.779374 relative_absolute_error 0.784668 relative_absolute_error 0.779374 relative_absolute_error 0.757975 relative_absolute_error 0.608682 relative_absolute_error 0.694924 relative_absolute_error 0.830292 relative_absolute_error 0.636911 relative_absolute_error 0.590727 root_mean_prior_squared_error 0.435461 root_mean_prior_squared_error 0.435461 root_mean_prior_squared_error 0.435461 root_mean_prior_squared_error 0.435461 root_mean_prior_squared_error 0.435461 root_mean_prior_squared_error 0.435461 root_mean_prior_squared_error 0.435461 root_mean_prior_squared_error 0.435461 root_mean_prior_squared_error 0.435461 root_mean_prior_squared_error 0.435461 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.423917 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_prior_squared_error 0.447815 root_mean_squared_error 0.366924 root_mean_squared_error 0.374677 root_mean_squared_error 0.408364 root_mean_squared_error 0.288527 root_mean_squared_error 0.525737 root_mean_squared_error 0.382392 root_mean_squared_error 0.556288 root_mean_squared_error 0.347419 root_mean_squared_error 0.315342 root_mean_squared_error 0.361163 root_mean_squared_error 0.331191 root_mean_squared_error 0.38772 root_mean_squared_error 0.376419 root_mean_squared_error 0.241639 root_mean_squared_error 0.220528 root_mean_squared_error 0.378025 root_mean_squared_error 0.281767 root_mean_squared_error 0.331111 root_mean_squared_error 0.380323 root_mean_squared_error 0.510131 root_mean_squared_error 0.452579 root_mean_squared_error 0.425761 root_mean_squared_error 0.455985 root_mean_squared_error 0.412592 root_mean_squared_error 0.284736 root_mean_squared_error 0.406168 root_mean_squared_error 0.467166 root_mean_squared_error 0.284736 root_mean_squared_error 0.492429 root_mean_squared_error 0.411433 root_mean_squared_error 0.37914 root_mean_squared_error 0.331344 root_mean_squared_error 0.284736 root_mean_squared_error 0.552706 root_mean_squared_error 0.284736 root_mean_squared_error 0.450917 root_mean_squared_error 0.281767 root_mean_squared_error 0.305388 root_mean_squared_error 0.331111 root_mean_squared_error 0.438301 root_mean_squared_error 0.288901 root_mean_squared_error 0.351096 root_mean_squared_error 0.288973 root_mean_squared_error 0.438301 root_mean_squared_error 0.435446 root_mean_squared_error 0.281767 root_mean_squared_error 0.354321 root_mean_squared_error 0.36579 root_mean_squared_error 0.413703 root_mean_squared_error 0.403079 root_mean_squared_error 0.404025 root_mean_squared_error 0.455985 root_mean_squared_error 0.427993 root_mean_squared_error 0.288901 root_mean_squared_error 0.38811 root_mean_squared_error 0.356829 root_mean_squared_error 0.331111 root_mean_squared_error 0.288901 root_mean_squared_error 0.586825 root_mean_squared_error 0.220528 root_mean_squared_error 0.289262 root_mean_squared_error 0.364313 root_mean_squared_error 0.457328 root_mean_squared_error 0.443818 root_mean_squared_error 0.475331 root_mean_squared_error 0.351096 root_mean_squared_error 0.33493 root_mean_squared_error 0.373908 root_mean_squared_error 0.354881 root_mean_squared_error 0.375479 root_mean_squared_error 0.487694 root_mean_squared_error 0.43776 root_mean_squared_error 0.418508 root_mean_squared_error 0.451289 root_mean_squared_error 0.414267 root_mean_squared_error 0.436474 root_mean_squared_error 0.382764 root_mean_squared_error 0.48505 root_mean_squared_error 0.473819 root_mean_squared_error 0.442773 root_mean_squared_error 0.426178 root_mean_squared_error 0.42579 root_mean_squared_error 0.401794 root_mean_squared_error 0.401794 root_mean_squared_error 0.529965 root_mean_squared_error 0.507227 root_mean_squared_error 0.501554 root_mean_squared_error 0.626718 root_mean_squared_error 0.374724 root_mean_squared_error 0.504069 root_mean_squared_error 0.371308 root_mean_squared_error 0.441373 root_mean_squared_error 0.43776 root_mean_squared_error 0.441373 root_mean_squared_error 0.420558 root_mean_squared_error 0.33759 root_mean_squared_error 0.36579 root_mean_squared_error 0.426178 root_mean_squared_error 0.384263 root_mean_squared_error 0.305736 root_relative_squared_error 0.842612 root_relative_squared_error 0.860416 root_relative_squared_error 0.937775 root_relative_squared_error 0.66258 root_relative_squared_error 1.207314 root_relative_squared_error 0.878132 root_relative_squared_error 1.277471 root_relative_squared_error 0.797819 root_relative_squared_error 0.724158 root_relative_squared_error 0.829381 root_relative_squared_error 0.781264 root_relative_squared_error 0.914615 root_relative_squared_error 0.887956 root_relative_squared_error 0.570015 root_relative_squared_error 0.520215 root_relative_squared_error 0.844154 root_relative_squared_error 0.629204 root_relative_squared_error 0.781075 root_relative_squared_error 0.897164 root_relative_squared_error 1.203377 root_relative_squared_error 1.067613 root_relative_squared_error 1.004351 root_relative_squared_error 1.075648 root_relative_squared_error 0.973285 root_relative_squared_error 0.67168 root_relative_squared_error 0.907 root_relative_squared_error 1.043211 root_relative_squared_error 0.67168 root_relative_squared_error 1.161618 root_relative_squared_error 0.970552 root_relative_squared_error 0.894375 root_relative_squared_error 0.781625 root_relative_squared_error 0.67168 root_relative_squared_error 1.303808 root_relative_squared_error 0.67168 root_relative_squared_error 1.006926 root_relative_squared_error 0.629204 root_relative_squared_error 0.720397 root_relative_squared_error 0.781075 root_relative_squared_error 1.033932 root_relative_squared_error 0.681505 root_relative_squared_error 0.82822 root_relative_squared_error 0.681674 root_relative_squared_error 1.033932 root_relative_squared_error 1.027198 root_relative_squared_error 0.629204 root_relative_squared_error 0.791221 root_relative_squared_error 0.862882 root_relative_squared_error 0.975908 root_relative_squared_error 0.950844 root_relative_squared_error 0.953078 root_relative_squared_error 1.075648 root_relative_squared_error 1.009616 root_relative_squared_error 0.681505 root_relative_squared_error 0.915534 root_relative_squared_error 0.841744 root_relative_squared_error 0.781075 root_relative_squared_error 0.681505 root_relative_squared_error 1.384294 root_relative_squared_error 0.520215 root_relative_squared_error 0.64594 root_relative_squared_error 0.813534 root_relative_squared_error 1.021243 root_relative_squared_error 0.991073 root_relative_squared_error 1.061445 root_relative_squared_error 0.82822 root_relative_squared_error 0.790084 root_relative_squared_error 0.83496 root_relative_squared_error 0.792471 root_relative_squared_error 0.838468 root_relative_squared_error 1.089053 root_relative_squared_error 0.977546 root_relative_squared_error 0.934555 root_relative_squared_error 1.007757 root_relative_squared_error 0.925084 root_relative_squared_error 1.029622 root_relative_squared_error 0.902924 root_relative_squared_error 1.083147 root_relative_squared_error 1.058067 root_relative_squared_error 0.98874 root_relative_squared_error 0.951682 root_relative_squared_error 0.950817 root_relative_squared_error 0.89723 root_relative_squared_error 0.89723 root_relative_squared_error 1.183445 root_relative_squared_error 1.196525 root_relative_squared_error 1.183142 root_relative_squared_error 1.399501 root_relative_squared_error 0.836782 root_relative_squared_error 1.125619 root_relative_squared_error 0.829154 root_relative_squared_error 0.985615 root_relative_squared_error 0.977546 root_relative_squared_error 0.985615 root_relative_squared_error 0.939133 root_relative_squared_error 0.796359 root_relative_squared_error 0.862882 root_relative_squared_error 0.951682 root_relative_squared_error 0.858084 root_relative_squared_error 0.682728 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0