202313 2 Joaquin Vanschoren 1882 Supervised Classification predictive_accuracy 1105 weka.IBk(4) 2025 weka.classifiers.lazy.IBk -- -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" K 5 1105 W 0 1105 A true 1105 weka weka_3.7.12 2 anneal https://www.openml.org/data/download/1666876/phpFsFYVN -1 666956 description https://api.openml.org/data/download/666956/weka_generated_run4477508729127958827.xml -1 666959 model_readable https://api.openml.org/data/download/666959/WekaModel_weka.classifiers.lazy.IBk8813700887835754353.model -1 666958 model_serialized https://api.openml.org/data/download/666958/WekaSerialized_weka.classifiers.lazy.IBk1503975190614540414.model -1 666957 predictions https://api.openml.org/data/download/666957/weka_generated_predictions7480857940331881575.arff area_under_roc_curve 0.960509 [0.944614,0.94283,0.959604,0.0,1,0.956763] average_cost 0 f_measure 0.926918 [0.735294,0.720249,0.957002,0,1,0.839895] kappa 0.816214 kb_relative_information_score 7224.368114 mean_absolute_error 0.027397 mean_prior_absolute_error 0.134305 number_of_instances 8980 [80,990,6840,0,670,400] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.932606 [0.892857,0.939837,0.928267,0,1,0.883978] predictive_accuracy 0.932405 prior_entropy 1.214875 recall 0.932405 [0.625,0.583838,0.987573,0,1,0.8] relative_absolute_error 0.203989 root_mean_prior_squared_error 0.258218 root_mean_squared_error 0.129115 root_relative_squared_error 0.500023 scimark_benchmark 924.369781 [492.5841787776069, 971.2474997442686, 475.7385195030516, 913.7121081704029, 1768.5665966389256] total_cost 0 usercpu_time_millis 400 usercpu_time_millis_testing 400 usercpu_time_millis_training 0 area_under_roc_curve 0.952273 [1,0.895748,0.951346,0.0,1,1] area_under_roc_curve 0.968207 [1,0.946502,0.966184,0.0,1,0.988372] area_under_roc_curve 0.951237 [1,0.90875,0.94962,0.0,1,1] area_under_roc_curve 0.990985 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0.925483 [1,0.75,0.957746,0,1,0.666667] f_measure 0.976704 [1,0.888889,0.985507,0,1,1] f_measure 0.909933 [1,0.571429,0.950355,0,1,0.888889] f_measure 0.889339 [0.666667,0.571429,0.93617,0,1,0.75] f_measure 0.898307 [0,0.625,0.943662,0,1,0.857143] f_measure 0.925483 [1,0.75,0.957746,0,1,0.666667] f_measure 0.922837 [0,0.75,0.957746,0,1,0.857143] f_measure 0.92859 [1,0.705882,0.957143,0,1,0.857143] f_measure 0.924689 [1,0.666667,0.957746,0,1,0.857143] f_measure 0.923815 [0,0.705882,0.957746,0,1,1] f_measure 0.864931 [1,0.307692,0.929577,0,1,0.888889] f_measure 0.898174 [0,0.666667,0.943662,0,1,0.75] f_measure 0.883872 [0,0.533333,0.93617,0,1,0.888889] f_measure 0.889308 [0,0.823529,0.93617,0,1,0.285714] f_measure 0.966171 [1,0.888889,0.978102,0,1,0.888889] f_measure 0.940106 [1,0.75,0.964029,0,1,0.888889] f_measure 0.92563 [1,0.666667,0.957746,0,1,0.888889] f_measure 0.925644 [1,0.666667,0.957143,0,1,0.888889] f_measure 0.947146 [0,0.777778,0.963504,0,1,1] f_measure 0.887536 [0,0.533333,0.937063,0,1,0.75] f_measure 0.938396 [0,0.75,0.964539,0,1,0.857143] f_measure 0.935453 [0,0.666667,0.964539,0,1,1] f_measure 0.924808 [0,0.666667,0.957143,0,1,0.888889] f_measure 0.908025 [0,0.571429,0.951049,0,1,0.857143] f_measure 0.976993 [0,0.952381,0.985507,0,1,0.857143] f_measure 0.908025 [0,0.571429,0.951049,0,1,0.857143] f_measure 0.927916 [0,0.75,0.957746,0,1,0.75] f_measure 0.964605 [0,0.888889,0.978417,0,1,0.857143] f_measure 0.964605 [0,0.888889,0.978417,0,1,0.857143] f_measure 0.884463 [0,0.533333,0.937931,0,1,0.666667] f_measure 0.931971 [0,0.823529,0.956522,0,1,0.666667] f_measure 0.938396 [0,0.75,0.964539,0,1,0.857143] f_measure 0.927113 [0,0.666667,0.957746,0,1,0.857143] f_measure 0.964605 [0,0.888889,0.978417,0,1,0.857143] f_measure 0.927916 [0,0.75,0.957746,0,1,0.75] f_measure 0.965528 [0,0.842105,0.978102,0,1,1] f_measure 0.977528 [0,0.9,0.985507,0,1,1] f_measure 0.95008 [0,0.75,0.971429,0,1,1] kappa 0.745042 kappa 0.817073 kappa 0.877966 kappa 0.882545 kappa 0.91009 kappa 0.844345 kappa 0.734121 kappa 0.856368 kappa 0.850598 kappa 0.844129 kappa 0.816576 kappa 0.861368 kappa 0.816201 kappa 0.745223 kappa 0.772317 kappa 0.782082 kappa 0.941253 kappa 0.808307 kappa 0.781931 kappa 0.877593 kappa 0.816949 kappa 0.824047 kappa 0.718945 kappa 0.706628 kappa 0.856368 kappa 0.807898 kappa 0.85623 kappa 0.790628 kappa 0.816389 kappa 0.669339 kappa 0.877717 kappa 0.791183 kappa 0.91012 kappa 0.856551 kappa 0.745133 kappa 0.882314 kappa 0.745133 kappa 0.808443 kappa 0.856916 kappa 0.643372 kappa 0.765396 kappa 0.856505 kappa 0.817135 kappa 0.824561 kappa 0.855815 kappa 0.824561 kappa 0.6647 kappa 0.817321 kappa 0.817321 kappa 0.883041 kappa 0.850993 kappa 0.817691 kappa 0.856916 kappa 0.781931 kappa 0.856505 kappa 0.683099 kappa 0.816949 kappa 0.798529 kappa 0.696765 kappa 0.816389 kappa 0.765396 kappa 0.824561 kappa 0.816949 kappa 0.943644 kappa 0.791804 kappa 0.732585 kappa 0.755684 kappa 0.816949 kappa 0.816763 kappa 0.824219 kappa 0.817321 kappa 0.816389 kappa 0.696765 kappa 0.75618 kappa 0.731521 kappa 0.730449 kappa 0.917127 kappa 0.856779 kappa 0.817321 kappa 0.824903 kappa 0.855707 kappa 0.704755 kappa 0.843089 kappa 0.84342 kappa 0.816242 kappa 0.770956 kappa 0.940706 kappa 0.770956 kappa 0.807359 kappa 0.909553 kappa 0.909553 kappa 0.689895 kappa 0.823296 kappa 0.843089 kappa 0.807151 kappa 0.909553 kappa 0.807359 kappa 0.913142 kappa 0.940824 kappa 0.877241 kb_relative_information_score 70.811271 kb_relative_information_score 72.946135 kb_relative_information_score 72.712046 kb_relative_information_score 75.181665 kb_relative_information_score 77.000647 kb_relative_information_score 79.288597 kb_relative_information_score 62.572674 kb_relative_information_score 73.149711 kb_relative_information_score 73.461309 kb_relative_information_score 73.558753 kb_relative_information_score 67.257893 kb_relative_information_score 77.196657 kb_relative_information_score 75.947719 kb_relative_information_score 64.761164 kb_relative_information_score 69.554719 kb_relative_information_score 73.562389 kb_relative_information_score 78.911471 kb_relative_information_score 65.976045 kb_relative_information_score 72.692107 kb_relative_information_score 70.803063 kb_relative_information_score 68.055882 kb_relative_information_score 74.057246 kb_relative_information_score 65.726306 kb_relative_information_score 69.357462 kb_relative_information_score 75.596383 kb_relative_information_score 73.05157 kb_relative_information_score 76.787348 kb_relative_information_score 69.784855 kb_relative_information_score 72.341384 kb_relative_information_score 64.956472 kb_relative_information_score 77.74362 kb_relative_information_score 76.800531 kb_relative_information_score 75.654884 kb_relative_information_score 75.678442 kb_relative_information_score 70.956434 kb_relative_information_score 69.6283 kb_relative_information_score 71.414688 kb_relative_information_score 74.1788 kb_relative_information_score 77.448594 kb_relative_information_score 62.737988 kb_relative_information_score 66.729879 kb_relative_information_score 74.689795 kb_relative_information_score 73.040182 kb_relative_information_score 75.710907 kb_relative_information_score 71.065983 kb_relative_information_score 78.536377 kb_relative_information_score 65.544235 kb_relative_information_score 73.131473 kb_relative_information_score 71.440962 kb_relative_information_score 79.172887 kb_relative_information_score 75.116082 kb_relative_information_score 77.01597 kb_relative_information_score 75.586281 kb_relative_information_score 68.34913 kb_relative_information_score 71.860144 kb_relative_information_score 70.631718 kb_relative_information_score 74.753781 kb_relative_information_score 70.340799 kb_relative_information_score 72.249235 kb_relative_information_score 70.008132 kb_relative_information_score 74.503306 kb_relative_information_score 77.798346 kb_relative_information_score 73.166297 kb_relative_information_score 79.905606 kb_relative_information_score 74.747887 kb_relative_information_score 67.932507 kb_relative_information_score 70.041683 kb_relative_information_score 74.677935 kb_relative_information_score 72.355245 kb_relative_information_score 76.533895 kb_relative_information_score 76.390995 kb_relative_information_score 70.034224 kb_relative_information_score 68.103279 kb_relative_information_score 71.812945 kb_relative_information_score 70.249502 kb_relative_information_score 69.722278 kb_relative_information_score 82.775589 kb_relative_information_score 75.865962 kb_relative_information_score 69.243505 kb_relative_information_score 74.280251 kb_relative_information_score 72.674609 kb_relative_information_score 60.083542 kb_relative_information_score 69.482566 kb_relative_information_score 73.168266 kb_relative_information_score 73.642467 kb_relative_information_score 69.66967 kb_relative_information_score 71.544659 kb_relative_information_score 70.344501 kb_relative_information_score 70.540139 kb_relative_information_score 77.329827 kb_relative_information_score 71.129791 kb_relative_information_score 60.203248 kb_relative_information_score 70.122361 kb_relative_information_score 70.721406 kb_relative_information_score 68.162433 kb_relative_information_score 71.286934 kb_relative_information_score 66.315683 kb_relative_information_score 77.157773 kb_relative_information_score 72.721137 kb_relative_information_score 73.648685 mean_absolute_error 0.029083 mean_absolute_error 0.026293 mean_absolute_error 0.025797 mean_absolute_error 0.023089 mean_absolute_error 0.017413 mean_absolute_error 0.015829 mean_absolute_error 0.03874 mean_absolute_error 0.026046 mean_absolute_error 0.023335 mean_absolute_error 0.024443 mean_absolute_error 0.030936 mean_absolute_error 0.022469 mean_absolute_error 0.020391 mean_absolute_error 0.037267 mean_absolute_error 0.029988 mean_absolute_error 0.027281 mean_absolute_error 0.017785 mean_absolute_error 0.032204 mean_absolute_error 0.028508 mean_absolute_error 0.025054 mean_absolute_error 0.03258 mean_absolute_error 0.025181 mean_absolute_error 0.035413 mean_absolute_error 0.028756 mean_absolute_error 0.024074 mean_absolute_error 0.02752 mean_absolute_error 0.022677 mean_absolute_error 0.029496 mean_absolute_error 0.027525 mean_absolute_error 0.036281 mean_absolute_error 0.018647 mean_absolute_error 0.026903 mean_absolute_error 0.023089 mean_absolute_error 0.023064 mean_absolute_error 0.03258 mean_absolute_error 0.029686 mean_absolute_error 0.033072 mean_absolute_error 0.024813 mean_absolute_error 0.025182 mean_absolute_error 0.041817 mean_absolute_error 0.032827 mean_absolute_error 0.026291 mean_absolute_error 0.030605 mean_absolute_error 0.026784 mean_absolute_error 0.029987 mean_absolute_error 0.021733 mean_absolute_error 0.042683 mean_absolute_error 0.029761 mean_absolute_error 0.030725 mean_absolute_error 0.022202 mean_absolute_error 0.029248 mean_absolute_error 0.024073 mean_absolute_error 0.027034 mean_absolute_error 0.030728 mean_absolute_error 0.030478 mean_absolute_error 0.035776 mean_absolute_error 0.026408 mean_absolute_error 0.028631 mean_absolute_error 0.032846 mean_absolute_error 0.030849 mean_absolute_error 0.030358 mean_absolute_error 0.025061 mean_absolute_error 0.029126 mean_absolute_error 0.019757 mean_absolute_error 0.025425 mean_absolute_error 0.036027 mean_absolute_error 0.028515 mean_absolute_error 0.029129 mean_absolute_error 0.030096 mean_absolute_error 0.025728 mean_absolute_error 0.026785 mean_absolute_error 0.029987 mean_absolute_error 0.036646 mean_absolute_error 0.032827 mean_absolute_error 0.033935 mean_absolute_error 0.03453 mean_absolute_error 0.017287 mean_absolute_error 0.026784 mean_absolute_error 0.029865 mean_absolute_error 0.028265 mean_absolute_error 0.024088 mean_absolute_error 0.034062 mean_absolute_error 0.024206 mean_absolute_error 0.020968 mean_absolute_error 0.021471 mean_absolute_error 0.030319 mean_absolute_error 0.021202 mean_absolute_error 0.025576 mean_absolute_error 0.021341 mean_absolute_error 0.014735 mean_absolute_error 0.023591 mean_absolute_error 0.038614 mean_absolute_error 0.024339 mean_absolute_error 0.027201 mean_absolute_error 0.026202 mean_absolute_error 0.019854 mean_absolute_error 0.029326 mean_absolute_error 0.016111 mean_absolute_error 0.018924 mean_absolute_error 0.020721 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.131132 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,9,69,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] precision 0.892333 [0,0.75,0.906667,0,1,1] precision 0.936377 [1,1,0.931507,0,1,0.75] precision 0.957991 [1,1,0.945205,0,1,1] precision 0.947606 [0,1,0.957746,0,1,0.8] precision 0.968056 [1,1,0.958333,0,1,1] precision 0.948198 [1,1,0.932432,0,1,1] precision 0.920346 [1,1,0.896104,0,1,1] precision 0.944365 [1,0.875,0.957143,0,1,0.8] precision 0.946296 [1,1,0.944444,0,1,0.75] precision 0.948198 [1,1,0.932432,0,1,1] precision 0.931616 [1,0.857143,0.931507,0,1,1] precision 0.944928 [1,0.8,0.956522,0,1,1] precision 0.9336 [1,0.875,0.931507,0,1,1] precision 0.91363 [1,1,0.906667,0,1,0.666667] precision 0.929386 [1,1,0.907895,0,1,1] precision 0.926727 [1,1,0.918919,0,1,0.75] precision 0.967293 [0,1,0.971831,0,1,1] precision 0.927556 [0,1,0.92,0,1,1] precision 0.91837 [0,1,0.906667,0,1,1] precision 0.94688 [0,1,0.945205,0,1,1] precision 0.936377 [1,1,0.931507,0,1,0.75] precision 0.925309 [0,1,0.930556,0,1,0.75] precision 0.886737 [0,0.833333,0.905405,0,1,0.75] precision 0.897076 [1,0.8,0.894737,0,1,1] precision 0.944365 [1,0.875,0.957143,0,1,0.8] precision 0.927556 [0,1,0.92,0,1,1] precision 0.943545 [1,0.875,0.943662,0,1,1] precision 0.919775 [1,0.857143,0.930556,0,1,0.75] precision 0.927628 [0,1,0.918919,0,1,1] precision 0.8625 [0,0.666667,0.902778,0,1,0.666667] precision 0.957991 [1,1,0.945205,0,1,1] precision 0.9179 [0,1,0.917808,0,1,0.8] precision 0.956944 [0,1,0.958333,0,1,1] precision 0.943968 [1,0.857143,0.957143,0,1,0.8] precision 0.909357 [0,1,0.894737,0,1,1] precision 0.945383 [0,0.888889,0.957746,0,1,1] precision 0.909357 [0,1,0.894737,0,1,1] precision 0.927556 [0,1,0.92,0,1,1] precision 0.951878 [0.5,1,0.943662,0,1,1] precision 0.866618 [0.5,0.666667,0.881579,0,1,1] precision 0.903704 [0,1,0.916667,0,1,0.5] precision 0.94156 [1,0.857143,0.943662,0,1,1] precision 0.927628 [0,1,0.918919,0,1,1] precision 0.929012 [1,0.833333,0.930556,0,1,1] precision 0.933977 [0,0.888889,0.943662,0,1,1] precision 0.929012 [1,0.833333,0.930556,0,1,1] precision 0.872063 [0.5,0.75,0.9,0,1,0.571429] precision 0.938739 [1,1,0.918919,0,1,1] precision 0.938739 [1,1,0.918919,0,1,1] precision 0.958025 [1,1,0.944444,0,1,1] precision 0.94825 [1,1,0.931507,0,1,1] precision 0.938739 [1,1,0.918919,0,1,1] precision 0.951878 [0.5,1,0.943662,0,1,1] precision 0.91837 [0,1,0.906667,0,1,1] precision 0.946322 [1,1,0.943662,0,1,0.75] precision 0.895712 [1,1,0.881579,0,1,0.666667] precision 0.938739 [1,1,0.918919,0,1,1] precision 0.910681 [0,0.875,0.929577,0,1,0.75] precision 0.872392 [1,0.666667,0.891892,0,1,0.8] precision 0.927628 [0,1,0.918919,0,1,1] precision 0.898942 [0,0.857143,0.916667,0,1,0.75] precision 0.93642 [1,1,0.930556,0,1,0.75] precision 0.938739 [1,1,0.918919,0,1,1] precision 0.978413 [1,1,0.971429,0,1,1] precision 0.929011 [1,1,0.917808,0,1,0.8] precision 0.910883 [0.5,1,0.90411,0,1,0.75] precision 0.898899 [0,0.833333,0.905405,0,1,1] precision 0.938739 [1,1,0.918919,0,1,1] precision 0.927628 [0,1,0.918919,0,1,1] precision 0.931658 [1,0.857143,0.930556,0,1,1] precision 0.938739 [1,1,0.918919,0,1,1] precision 0.920504 [0,0.857143,0.931507,0,1,1] precision 0.872392 [1,0.666667,0.891892,0,1,0.8] precision 0.906306 [0,1,0.905405,0,1,0.75] precision 0.885327 [0,0.8,0.90411,0,1,0.8] precision 0.886809 [0,1,0.90411,0,1,0.333333] precision 0.969211 [1,1,0.971014,0,1,0.8] precision 0.948545 [1,1,0.943662,0,1,0.8] precision 0.9386 [1,1,0.931507,0,1,0.8] precision 0.938642 [1,1,0.930556,0,1,0.8] precision 0.952736 [0,0.875,0.956522,0,1,1] precision 0.892955 [0,0.8,0.905405,0,1,0.75] precision 0.947668 [0,1,0.931507,0,1,1] precision 0.947668 [0,1,0.931507,0,1,1] precision 0.937953 [0,1,0.930556,0,1,0.8] precision 0.928689 [0,1,0.906667,0,1,1] precision 0.97855 [0,0.909091,0.985507,0,1,1] precision 0.928689 [0,1,0.906667,0,1,1] precision 0.935663 [0,1,0.931507,0,1,0.75] precision 0.967716 [0,1,0.957746,0,1,1] precision 0.967716 [0,1,0.957746,0,1,1] precision 0.89592 [0,0.8,0.894737,0,1,1] precision 0.938363 [0,1,0.942857,0,1,0.6] precision 0.947668 [0,1,0.931507,0,1,1] precision 0.930045 [0,0.833333,0.931507,0,1,1] precision 0.967716 [0,1,0.957746,0,1,1] precision 0.935663 [0,1,0.931507,0,1,0.75] precision 0.965369 [0,0.888889,0.971014,0,1,1] precision 0.977528 [0,0.9,0.985507,0,1,1] precision 0.957553 [0,1,0.944444,0,1,1] predictive_accuracy 0.911111 predictive_accuracy 0.933333 predictive_accuracy 0.955556 predictive_accuracy 0.955556 predictive_accuracy 0.966667 predictive_accuracy 0.944444 predictive_accuracy 0.911111 predictive_accuracy 0.944444 predictive_accuracy 0.944444 predictive_accuracy 0.944444 predictive_accuracy 0.933333 predictive_accuracy 0.944444 predictive_accuracy 0.933333 predictive_accuracy 0.911111 predictive_accuracy 0.922222 predictive_accuracy 0.922222 predictive_accuracy 0.977778 predictive_accuracy 0.933333 predictive_accuracy 0.922222 predictive_accuracy 0.955556 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.944444 predictive_accuracy 0.933333 predictive_accuracy 0.944444 predictive_accuracy 0.922222 predictive_accuracy 0.933333 predictive_accuracy 0.877778 predictive_accuracy 0.955556 predictive_accuracy 0.922222 predictive_accuracy 0.966667 predictive_accuracy 0.944444 predictive_accuracy 0.911111 predictive_accuracy 0.955556 predictive_accuracy 0.911111 predictive_accuracy 0.933333 predictive_accuracy 0.944444 predictive_accuracy 0.877778 predictive_accuracy 0.911111 predictive_accuracy 0.944444 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.944444 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.955556 predictive_accuracy 0.944444 predictive_accuracy 0.933333 predictive_accuracy 0.944444 predictive_accuracy 0.922222 predictive_accuracy 0.944444 predictive_accuracy 0.888889 predictive_accuracy 0.933333 predictive_accuracy 0.922222 predictive_accuracy 0.888889 predictive_accuracy 0.933333 predictive_accuracy 0.911111 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.977778 predictive_accuracy 0.922222 predictive_accuracy 0.9 predictive_accuracy 0.911111 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.888889 predictive_accuracy 0.911111 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.966667 predictive_accuracy 0.944444 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.94382 predictive_accuracy 0.898876 predictive_accuracy 0.94382 predictive_accuracy 0.94382 predictive_accuracy 0.932584 predictive_accuracy 0.921348 predictive_accuracy 0.977528 predictive_accuracy 0.921348 predictive_accuracy 0.932584 predictive_accuracy 0.966292 predictive_accuracy 0.966292 predictive_accuracy 0.898876 predictive_accuracy 0.932584 predictive_accuracy 0.94382 predictive_accuracy 0.932584 predictive_accuracy 0.966292 predictive_accuracy 0.932584 predictive_accuracy 0.966292 predictive_accuracy 0.977528 predictive_accuracy 0.955056 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 recall 0.911111 [0,0.333333,0.985507,0,1,1] recall 0.933333 [1,0.555556,0.985507,0,1,0.75] recall 0.955556 [1,0.6,1,0,1,1] recall 0.955556 [0,0.8,0.985507,0,1,1] recall 0.966667 [1,0.8,1,0,1,0.75] recall 0.944444 [1,0.5,1,0,1,1] recall 0.911111 [1,0.3,1,0,1,0.75] recall 0.944444 [1,0.7,0.971014,0,1,1] recall 0.944444 [1,0.666667,0.985507,0,1,0.75] recall 0.944444 [1,0.555556,1,0,1,0.75] recall 0.933333 [1,0.6,0.985507,0,1,0.75] recall 0.944444 [1,0.8,0.970588,0,1,0.75] recall 0.933333 [1,0.7,0.985507,0,1,0.5] recall 0.911111 [1,0.5,0.985507,0,1,0.5] recall 0.922222 [1,0.4,1,0,1,0.75] recall 0.922222 [1,0.5,0.985507,0,1,0.75] recall 0.977778 [0,0.888889,1,0,1,1] recall 0.933333 [0,0.6,1,0,1,0.75] recall 0.922222 [0,0.5,1,0,1,0.75] recall 0.955556 [0,0.7,1,0,1,1] recall 0.933333 [1,0.6,0.985507,0,1,0.75] recall 0.933333 [0,0.7,0.985294,0,1,0.75] recall 0.9 [0,0.5,0.971014,0,1,0.75] recall 0.9 [1,0.4,0.985507,0,1,0.5] recall 0.944444 [1,0.7,0.971014,0,1,1] recall 0.933333 [0,0.7,1,0,1,0.5] recall 0.944444 [1,0.7,0.985294,0,1,0.75] recall 0.922222 [1,0.6,0.971014,0,1,0.75] recall 0.933333 [0,0.7,1,0,1,0.5] recall 0.877778 [0,0.6,0.942029,0,1,0.5] recall 0.955556 [1,0.7,1,0,1,0.75] recall 0.922222 [0,0.5,0.985294,0,1,1] recall 0.966667 [0,0.777778,1,0,1,1] recall 0.944444 [1,0.666667,0.971014,0,1,1] recall 0.911111 [0,0.5,1,0,1,0.5] recall 0.955556 [0,0.888889,0.985507,0,1,0.75] recall 0.911111 [0,0.5,1,0,1,0.5] recall 0.933333 [0,0.555556,1,0,1,0.75] recall 0.944444 [1,0.6,0.985294,0,1,1] recall 0.877778 [1,0.2,0.971014,0,1,0.75] recall 0.911111 [0,0.7,0.970588,0,1,0.5] recall 0.944444 [1,0.6,0.985294,0,1,1] recall 0.933333 [0,0.5,1,0,1,1] recall 0.933333 [1,0.5,0.985294,0,1,1] recall 0.944444 [0,0.8,0.985294,0,1,0.75] recall 0.933333 [1,0.5,0.985294,0,1,1] recall 0.866667 [1,0.3,0.926471,0,1,1] recall 0.933333 [1,0.5,1,0,1,0.75] recall 0.933333 [1,0.5,1,0,1,0.75] recall 0.955556 [1,0.6,1,0,1,1] recall 0.944444 [1,0.5,1,0,1,1] recall 0.933333 [1,0.4,1,0,1,1] recall 0.944444 [1,0.6,0.985294,0,1,1] recall 0.922222 [0,0.5,1,0,1,0.75] recall 0.944444 [1,0.7,0.985294,0,1,0.75] recall 0.888889 [1,0.3,0.985294,0,1,0.5] recall 0.933333 [1,0.6,1,0,1,0.5] recall 0.922222 [0,0.7,0.970588,0,1,0.75] recall 0.888889 [1,0.2,0.970588,0,1,1] recall 0.933333 [0,0.7,1,0,1,0.5] recall 0.911111 [0,0.6,0.970588,0,1,0.75] recall 0.933333 [1,0.6,0.985294,0,1,0.75] recall 0.933333 [1,0.6,1,0,1,0.5] recall 0.977778 [1,0.8,1,0,1,1] recall 0.922222 [1,0.4,0.985294,0,1,1] recall 0.9 [1,0.4,0.970588,0,1,0.75] recall 0.911111 [0,0.5,0.985294,0,1,0.75] recall 0.933333 [1,0.6,1,0,1,0.5] recall 0.933333 [0,0.6,1,0,1,0.75] recall 0.933333 [1,0.6,0.985294,0,1,0.75] recall 0.933333 [1,0.5,1,0,1,0.75] recall 0.933333 [0,0.6,0.985507,0,1,1] recall 0.888889 [1,0.2,0.970588,0,1,1] recall 0.911111 [0,0.5,0.985294,0,1,0.75] recall 0.9 [0,0.4,0.970588,0,1,1] recall 0.9 [0,0.7,0.970588,0,1,0.25] recall 0.966667 [1,0.8,0.985294,0,1,1] recall 0.944444 [1,0.6,0.985294,0,1,1] recall 0.933333 [1,0.5,0.985507,0,1,1] recall 0.933333 [1,0.5,0.985294,0,1,1] recall 0.94382 [0,0.7,0.970588,0,1,1] recall 0.898876 [0,0.4,0.971014,0,1,0.75] recall 0.94382 [0,0.6,1,0,1,0.75] recall 0.94382 [0,0.5,1,0,1,1] recall 0.932584 [0,0.5,0.985294,0,1,1] recall 0.921348 [0,0.4,1,0,1,0.75] recall 0.977528 [0,1,0.985507,0,1,0.75] recall 0.921348 [0,0.4,1,0,1,0.75] recall 0.932584 [0,0.6,0.985507,0,1,0.75] recall 0.966292 [0,0.8,1,0,1,0.75] recall 0.966292 [0,0.8,1,0,1,0.75] recall 0.898876 [0,0.4,0.985507,0,1,0.5] recall 0.932584 [0,0.7,0.970588,0,1,0.75] recall 0.94382 [0,0.6,1,0,1,0.75] recall 0.932584 [0,0.555556,0.985507,0,1,0.75] recall 0.966292 [0,0.8,1,0,1,0.75] recall 0.932584 [0,0.6,0.985507,0,1,0.75] recall 0.966292 [0,0.8,0.985294,0,1,1] recall 0.977528 [0,0.9,0.985507,0,1,1] recall 0.955056 [0,0.6,1,0,1,1] relative_absolute_error 0.21811 relative_absolute_error 0.197183 relative_absolute_error 0.193653 relative_absolute_error 0.173326 relative_absolute_error 0.130715 relative_absolute_error 0.118827 relative_absolute_error 0.290818 relative_absolute_error 0.195523 relative_absolute_error 0.175 relative_absolute_error 0.183309 relative_absolute_error 0.232233 relative_absolute_error 0.165533 relative_absolute_error 0.153071 relative_absolute_error 0.279762 relative_absolute_error 0.225117 relative_absolute_error 0.204795 relative_absolute_error 0.133379 relative_absolute_error 0.24175 relative_absolute_error 0.210019 relative_absolute_error 0.188082 relative_absolute_error 0.244574 relative_absolute_error 0.185509 relative_absolute_error 0.265845 relative_absolute_error 0.215871 relative_absolute_error 0.180721 relative_absolute_error 0.206591 relative_absolute_error 0.167065 relative_absolute_error 0.221423 relative_absolute_error 0.202782 relative_absolute_error 0.272361 relative_absolute_error 0.13998 relative_absolute_error 0.1982 relative_absolute_error 0.173158 relative_absolute_error 0.172971 relative_absolute_error 0.240021 relative_absolute_error 0.222633 relative_absolute_error 0.243644 relative_absolute_error 0.186089 relative_absolute_error 0.185517 relative_absolute_error 0.313919 relative_absolute_error 0.241841 relative_absolute_error 0.193686 relative_absolute_error 0.225472 relative_absolute_error 0.197321 relative_absolute_error 0.220918 relative_absolute_error 0.160107 relative_absolute_error 0.314454 relative_absolute_error 0.219254 relative_absolute_error 0.226358 relative_absolute_error 0.163561 relative_absolute_error 0.215476 relative_absolute_error 0.17735 relative_absolute_error 0.199166 relative_absolute_error 0.226374 relative_absolute_error 0.224539 relative_absolute_error 0.263569 relative_absolute_error 0.194548 relative_absolute_error 0.210928 relative_absolute_error 0.241981 relative_absolute_error 0.22727 relative_absolute_error 0.223652 relative_absolute_error 0.184624 relative_absolute_error 0.214576 relative_absolute_error 0.145549 relative_absolute_error 0.18731 relative_absolute_error 0.265413 relative_absolute_error 0.210072 relative_absolute_error 0.214598 relative_absolute_error 0.221723 relative_absolute_error 0.189539 relative_absolute_error 0.197328 relative_absolute_error 0.225109 relative_absolute_error 0.269975 relative_absolute_error 0.241837 relative_absolute_error 0.250003 relative_absolute_error 0.254388 relative_absolute_error 0.127359 relative_absolute_error 0.197318 relative_absolute_error 0.224192 relative_absolute_error 0.208235 relative_absolute_error 0.180357 relative_absolute_error 0.260015 relative_absolute_error 0.181245 relative_absolute_error 0.157002 relative_absolute_error 0.160764 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