356031 2 Joaquin Vanschoren 1882 Supervised Classification predictive_accuracy 1079 weka.RandomForest(5) 1849 weka.classifiers.trees.RandomForest -- -I 100 -K 0 -S 1 -num-slots 1 I 100 1079 K 0 1079 S 1 1079 num-slots 1 1079 weka weka_3.7.12 2 anneal https://www.openml.org/data/download/1666876/phpFsFYVN -1 1228919 description https://api.openml.org/data/download/1228919/weka_generated_run7087943691668804409.xml -1 1228922 model_readable https://api.openml.org/data/download/1228922/WekaModel_weka.classifiers.trees.RandomForest5261614501911887911.model -1 1228921 model_serialized https://api.openml.org/data/download/1228921/WekaSerialized_weka.classifiers.trees.RandomForest2168905638943407885.model -1 1228920 predictions https://api.openml.org/data/download/1228920/weka_generated_predictions2625076035734047166.arff area_under_roc_curve 0.989973 [0.935073,0.992821,0.988879,0.0,0.998664,0.998065] average_cost 0 f_measure 0.951214 [0.933333,0.858596,0.968156,0,0.907865,0.966921] kappa 0.877324 kb_relative_information_score 7030.01387 mean_absolute_error 0.038757 mean_prior_absolute_error 0.134305 number_of_instances 8980 [80,990,6840,0,670,400] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.951219 [1,0.864754,0.965131,0,0.911278,0.984456] predictive_accuracy 0.951336 prior_entropy 1.214875 recall 0.951336 [0.875,0.852525,0.971199,0,0.904478,0.95] relative_absolute_error 0.28857 root_mean_prior_squared_error 0.258218 root_mean_squared_error 0.114227 root_relative_squared_error 0.442366 scimark_benchmark 1316.56679 [789.9640777605844, 987.4224701806577, 520.4759296470442, 1063.8961096609355, 3221.075364855067] total_cost 0 usercpu_time_millis 1310 usercpu_time_millis_testing 280 usercpu_time_millis_training 1030 area_under_roc_curve 0.99561 [1,0.993141,0.995169,0.0,1,1] area_under_roc_curve 0.996551 [1,0.997257,0.995859,0.0,1,1] area_under_roc_curve 0.992037 [1,0.995,0.990338,0.0,1,1] area_under_roc_curve 0.992679 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[0.589888,0.99625,0.984127,0.0,1,1] area_under_roc_curve 0.989504 [1,0.99125,0.988268,0.0,0.992063,1] area_under_roc_curve 0.983356 [0.617978,0.9975,0.983957,0.0,1,1] area_under_roc_curve 0.978625 [0.449438,0.99125,0.981366,0.0,1,1] area_under_roc_curve 0.996409 [1,0.99625,0.995859,0.0,1,1] area_under_roc_curve 0.998803 [1,0.99875,0.99862,0.0,1,1] area_under_roc_curve 0.986038 [1,0.98625,0.984127,0.0,0.996032,1] area_under_roc_curve 0.998856 [1,1,0.998663,0.0,0.998279,1] area_under_roc_curve 0.994299 [1,0.9975,0.993099,0.0,0.998016,1] area_under_roc_curve 0.973951 [0.606742,0.99125,0.972594,0.0,1,1] area_under_roc_curve 0.995602 [1,0.99375,0.995169,0.0,1,1] area_under_roc_curve 0.996019 [1,0.9975,0.995169,0.0,1,1] area_under_roc_curve 0.993765 [1,0.9975,0.992647,0.0,0.994836,1] area_under_roc_curve 0.986874 [1,0.99177,0.984127,0.0,0.998279,1] area_under_roc_curve 0.997221 [1,1,0.996549,0.0,0.998279,1] area_under_roc_curve 0.997475 [1,1,0.996658,0.0,1,1] area_under_roc_curve 0.982764 [0.438202,0.995885,0.986197,0.0,1,1] area_under_roc_curve 0.98022 [1,0.98375,0.977273,0.0,0.989673,1] area_under_roc_curve 0.991221 [1,0.986283,0.990338,0.0,1,1] area_under_roc_curve 0.99899 [1,1,0.998663,0.0,1,1] area_under_roc_curve 0.997077 [1,0.9975,0.996549,0.0,1,1] area_under_roc_curve 0.976521 [0.494382,0.995,0.977273,0.0,0.998279,1] area_under_roc_curve 0.991313 [1,0.99,0.989973,0.0,1,1] area_under_roc_curve 0.984295 [1,0.985,0.981952,0.0,0.994836,1] area_under_roc_curve 0.996831 [1,0.99875,0.995989,0.0,1,1] area_under_roc_curve 0.983206 [0.550562,0.995,0.985294,0.0,0.998279,1] area_under_roc_curve 0.999495 [1,1,0.999332,0.0,1,1] area_under_roc_curve 0.993333 [1,0.99,0.992647,0.0,1,1] area_under_roc_curve 0.989848 [1,0.995,0.987299,0.0,1,1] area_under_roc_curve 0.986301 [1,0.98125,0.984626,0.0,1,1] area_under_roc_curve 0.989818 [1,0.995,0.987968,0.0,0.993115,1] area_under_roc_curve 0.980631 [1,0.98625,0.977273,0.0,0.991394,1] area_under_roc_curve 0.995038 [1,0.99625,0.993984,0.0,1,1] area_under_roc_curve 0.997841 [1,0.99875,0.997326,0.0,1,1] area_under_roc_curve 0.975997 [0.505618,0.9925,0.976604,0.0,1,1] area_under_roc_curve 0.993908 [1,0.9975,0.992647,0.0,1,0.994186] area_under_roc_curve 0.987273 [1,0.99,0.984626,0.0,1,1] area_under_roc_curve 0.995131 [1,0.99375,0.994652,0.0,0.998279,1] area_under_roc_curve 0.973699 [0.505618,0.99,0.97393,0.0,1,1] area_under_roc_curve 0.98952 [1,0.9875,0.987968,0.0,1,1] area_under_roc_curve 0.972912 [1,0.995,0.973262,0.0,1,0.857558] area_under_roc_curve 0.995038 [1,0.99625,0.993984,0.0,1,1] area_under_roc_curve 0.998346 [1,0.99875,0.997995,0.0,1,1] area_under_roc_curve 0.989025 [1,0.98875,0.987299,0.0,1,0.997093] area_under_roc_curve 0.995265 [1,0.99375,0.994652,0.0,1,1] area_under_roc_curve 0.992055 [1,0.99,0.99131,0.0,0.996558,1] area_under_roc_curve 0.973717 [1,0.97375,0.969251,0.0,0.998279,1] area_under_roc_curve 0.980142 [0.775281,0.99375,0.977941,0.0,1,1] area_under_roc_curve 0.995909 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[0.0,0.989873,0.983894,0.0,1,1] area_under_roc_curve 0.981673 [0.0,0.979747,0.978992,0.0,1,1] area_under_roc_curve 0.988986 [0.0,0.993671,0.986695,0.0,0.998258,1] area_under_roc_curve 0.991566 [0.0,0.994937,0.989855,0.0,1,1] area_under_roc_curve 0.993261 [0.0,0.992405,0.992297,0.0,1,1] area_under_roc_curve 0.99803 [0.0,0.997468,0.997826,0.0,1,1] area_under_roc_curve 0.985059 [0.0,0.986076,0.982493,0.0,1,1] area_under_roc_curve 0.987166 [0.0,0.981013,0.985994,0.0,1,1] area_under_roc_curve 0.987491 [0.0,0.993671,0.984783,0.0,1,1] area_under_roc_curve 0.990994 [0.0,0.994937,0.989496,0.0,0.994774,1] area_under_roc_curve 0.989909 [0.0,0.991139,0.988095,0.0,1,1] area_under_roc_curve 0.970232 [0.0,0.975,0.965217,0.0,0.996516,1] area_under_roc_curve 0.995293 [0.0,0.996203,0.994398,0.0,1,1] area_under_roc_curve 0.998592 [0.0,0.997468,0.998551,0.0,1,1] area_under_roc_curve 0.997826 [0.0,0.994937,0.997899,0.0,1,1] area_under_roc_curve 0.989738 [0.0,0.989873,0.988406,0.0,0.997992,1] 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kappa 0.744136 kappa 0.798529 kappa 0.882507 kappa 0.887218 kappa 0.85025 kappa 0.891435 kappa 0.855862 kappa 0.891173 kappa 0.916744 kappa 0.823241 kappa 0.856 kappa 0.972265 kappa 0.806094 kappa 0.972274 kappa 0.861411 kappa 0.861111 kappa 0.916795 kappa 0.91015 kappa 0.895013 kappa 0.856138 kappa 0.943609 kappa 0.882583 kappa 0.843858 kappa 0.774365 kappa 0.816825 kappa 0.972325 kappa 0.971218 kappa 0.866032 kappa 0.887394 kappa 0.83671 kappa 0.919905 kappa 0.866032 kappa 0.972325 kappa 0.891239 kappa 0.86124 kappa 0.824047 kappa 0.819173 kappa 0.79021 kappa 0.861368 kappa 0.945669 kappa 0.847285 kappa 0.891041 kappa 0.887394 kappa 0.916974 kappa 0.805556 kappa 0.861751 kappa 0.764475 kappa 0.894921 kappa 0.913821 kappa 0.861368 kappa 0.887394 kappa 0.917051 kappa 0.781884 kappa 0.855954 kappa 0.945669 kappa 0.947461 kappa 0.87106 kappa 0.856368 kappa 0.913655 kappa 0.8373 kappa 0.891239 kappa 0.945619 kappa 0.797582 kappa 0.89114 kappa 0.945619 kappa 0.806094 kappa 0.882927 kappa 0.855237 kappa 0.848794 kappa 0.913058 kappa 0.854954 kappa 0.86037 kappa 0.865518 kappa 0.943058 kappa 0.894268 kappa 0.913058 kappa 0.886226 kappa 0.829175 kappa 0.909276 kappa 0.855096 kappa 0.855096 kappa 0.7891 kappa 0.916143 kappa 0.912944 kappa 0.943167 kappa 0.829175 kappa 0.913142 kb_relative_information_score 72.914586 kb_relative_information_score 71.324015 kb_relative_information_score 69.963392 kb_relative_information_score 71.651494 kb_relative_information_score 69.249681 kb_relative_information_score 72.401502 kb_relative_information_score 66.934628 kb_relative_information_score 72.262985 kb_relative_information_score 72.074138 kb_relative_information_score 77.729667 kb_relative_information_score 65.913792 kb_relative_information_score 72.162838 kb_relative_information_score 71.08788 kb_relative_information_score 66.031985 kb_relative_information_score 64.379574 kb_relative_information_score 72.702649 kb_relative_information_score 71.195689 kb_relative_information_score 67.686816 kb_relative_information_score 73.490005 kb_relative_information_score 65.812072 kb_relative_information_score 72.3054 kb_relative_information_score 71.391605 kb_relative_information_score 66.585185 kb_relative_information_score 69.943321 kb_relative_information_score 74.637187 kb_relative_information_score 66.108691 kb_relative_information_score 76.237761 kb_relative_information_score 68.414041 kb_relative_information_score 68.225619 kb_relative_information_score 71.084885 kb_relative_information_score 71.478405 kb_relative_information_score 70.559777 kb_relative_information_score 68.736861 kb_relative_information_score 72.521467 kb_relative_information_score 73.877766 kb_relative_information_score 68.23484 kb_relative_information_score 67.613028 kb_relative_information_score 68.502466 kb_relative_information_score 76.466954 kb_relative_information_score 71.260141 kb_relative_information_score 68.790497 kb_relative_information_score 71.849259 kb_relative_information_score 68.884256 kb_relative_information_score 77.518823 kb_relative_information_score 66.939704 kb_relative_information_score 77.978264 kb_relative_information_score 71.892681 kb_relative_information_score 69.214026 kb_relative_information_score 69.706089 kb_relative_information_score 71.790164 kb_relative_information_score 67.712139 kb_relative_information_score 75.604969 kb_relative_information_score 75.313228 kb_relative_information_score 66.583414 kb_relative_information_score 72.453418 kb_relative_information_score 72.428247 kb_relative_information_score 73.783346 kb_relative_information_score 66.613389 kb_relative_information_score 71.551467 kb_relative_information_score 66.982536 kb_relative_information_score 75.012209 kb_relative_information_score 76.073624 kb_relative_information_score 69.572514 kb_relative_information_score 74.352084 kb_relative_information_score 73.700036 kb_relative_information_score 64.520809 kb_relative_information_score 67.395842 kb_relative_information_score 75.472988 kb_relative_information_score 75.89551 kb_relative_information_score 71.654531 kb_relative_information_score 72.809973 kb_relative_information_score 71.429581 kb_relative_information_score 73.414084 kb_relative_information_score 71.681525 kb_relative_information_score 78.049301 kb_relative_information_score 65.459364 kb_relative_information_score 72.049876 kb_relative_information_score 77.067773 kb_relative_information_score 64.57751 kb_relative_information_score 72.258896 kb_relative_information_score 66.43936 kb_relative_information_score 63.299075 kb_relative_information_score 70.943512 kb_relative_information_score 66.7175 kb_relative_information_score 65.719438 kb_relative_information_score 67.976952 kb_relative_information_score 69.929859 kb_relative_information_score 69.564456 kb_relative_information_score 69.822639 kb_relative_information_score 66.65595 kb_relative_information_score 66.102147 kb_relative_information_score 65.006017 kb_relative_information_score 66.469569 kb_relative_information_score 66.681067 kb_relative_information_score 57.031565 kb_relative_information_score 70.748007 kb_relative_information_score 70.016582 kb_relative_information_score 69.841576 kb_relative_information_score 64.499422 kb_relative_information_score 69.356444 mean_absolute_error 0.034489 mean_absolute_error 0.0375 mean_absolute_error 0.0391 mean_absolute_error 0.037348 mean_absolute_error 0.038846 mean_absolute_error 0.034656 mean_absolute_error 0.042207 mean_absolute_error 0.036379 mean_absolute_error 0.035726 mean_absolute_error 0.026691 mean_absolute_error 0.044614 mean_absolute_error 0.040886 mean_absolute_error 0.036467 mean_absolute_error 0.044065 mean_absolute_error 0.045507 mean_absolute_error 0.034436 mean_absolute_error 0.039376 mean_absolute_error 0.042426 mean_absolute_error 0.035497 mean_absolute_error 0.041183 mean_absolute_error 0.033718 mean_absolute_error 0.035269 mean_absolute_error 0.039038 mean_absolute_error 0.038177 mean_absolute_error 0.031951 mean_absolute_error 0.045589 mean_absolute_error 0.033767 mean_absolute_error 0.040319 mean_absolute_error 0.039409 mean_absolute_error 0.036571 mean_absolute_error 0.03601 mean_absolute_error 0.043931 mean_absolute_error 0.042962 mean_absolute_error 0.036638 mean_absolute_error 0.038142 mean_absolute_error 0.038552 mean_absolute_error 0.047256 mean_absolute_error 0.042608 mean_absolute_error 0.033172 mean_absolute_error 0.037685 mean_absolute_error 0.041915 mean_absolute_error 0.040476 mean_absolute_error 0.046425 mean_absolute_error 0.029383 mean_absolute_error 0.043232 mean_absolute_error 0.031137 mean_absolute_error 0.041028 mean_absolute_error 0.044391 mean_absolute_error 0.041932 mean_absolute_error 0.039746 mean_absolute_error 0.046505 mean_absolute_error 0.033781 mean_absolute_error 0.035046 mean_absolute_error 0.044192 mean_absolute_error 0.039817 mean_absolute_error 0.038744 mean_absolute_error 0.037441 mean_absolute_error 0.043575 mean_absolute_error 0.041237 mean_absolute_error 0.043266 mean_absolute_error 0.035104 mean_absolute_error 0.034777 mean_absolute_error 0.045354 mean_absolute_error 0.035996 mean_absolute_error 0.03582 mean_absolute_error 0.05145 mean_absolute_error 0.040918 mean_absolute_error 0.03307 mean_absolute_error 0.034544 mean_absolute_error 0.042282 mean_absolute_error 0.040523 mean_absolute_error 0.035939 mean_absolute_error 0.036554 mean_absolute_error 0.041036 mean_absolute_error 0.029969 mean_absolute_error 0.05048 mean_absolute_error 0.040194 mean_absolute_error 0.031559 mean_absolute_error 0.047786 mean_absolute_error 0.039668 mean_absolute_error 0.041188 mean_absolute_error 0.039864 mean_absolute_error 0.034676 mean_absolute_error 0.040165 mean_absolute_error 0.041133 mean_absolute_error 0.0369 mean_absolute_error 0.029839 mean_absolute_error 0.035527 mean_absolute_error 0.028783 mean_absolute_error 0.039361 mean_absolute_error 0.040719 mean_absolute_error 0.037678 mean_absolute_error 0.041109 mean_absolute_error 0.040087 mean_absolute_error 0.052438 mean_absolute_error 0.033014 mean_absolute_error 0.029802 mean_absolute_error 0.035199 mean_absolute_error 0.039579 mean_absolute_error 0.03387 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 0.955556 [1,0.777778,0.971014,0,1,1] precision 0.967892 [1,0.888889,0.985294,0,0.875,1] precision 0.977778 [1,0.9,0.985507,0,1,1] precision 0.977778 [1,0.9,0.985507,0,1,1] precision 0.944444 [1,1,0.956522,0,0.666667,1] precision 0.977778 [1,1,0.985507,0,0.833333,1] precision 0.919319 [1,0.833333,0.918919,0,1,1] precision 0.955908 [1,0.888889,0.971014,0,0.857143,1] precision 0.968373 [1,1,0.971429,0,0.875,1] precision 0.989048 [1,1,0.985714,0,1,1] precision 0.937778 [1,1,0.956522,0,0.833333,0.6] precision 0.920442 [1,0.818182,0.942029,0,0.8,1] precision 0.937865 [1,0.818182,0.970149,0,0.714286,1] precision 0.906222 [1,1,0.906667,0,0.666667,1] precision 0.920388 [1,0.777778,0.942857,0,0.833333,1] precision 0.95526 [1,0.888889,0.957746,0,1,1] precision 0.955556 [1,1,0.971014,0,0.714286,1] precision 0.944074 [1,1,0.944444,0,0.8,1] precision 0.960494 [1,1,0.970588,0,0.777778,1] precision 0.934162 [0,0.888889,0.957143,0,0.857143,1] precision 0.958831 [1,0.818182,0.985075,0,0.857143,1] precision 0.955878 [0,0.9,0.971014,0,1,1] precision 0.923474 [0,0.8,0.943662,0,1,1] precision 0.945273 [1,0.888889,0.957143,0,0.857143,1] precision 0.989899 [1,0.909091,1,0,1,1] precision 0.924907 [1,0.8,0.955882,0,0.714286,1] precision 0.98905 [1,1,0.985507,0,1,1] precision 0.949673 [1,0.9,0.970588,0,0.75,1] precision 0.935837 [0,0.818182,0.956522,0,1,1] precision 0.968523 [1,0.818182,0.985294,0,1,1] precision 0.968056 [1,1,0.958333,0,1,1] precision 0.959007 [1,0.909091,0.984848,0,0.75,1] precision 0.947143 [1,0.8,0.957143,0,1,1] precision 0.977778 [1,1,0.985507,0,0.857143,1] precision 0.958025 [1,1,0.944444,0,1,1] precision 0.937087 [0,1,0.932432,0,1,1] precision 0.90776 [1,0.888889,0.928571,0,0.666667,1] precision 0.933203 [1,0.857143,0.931507,0,1,1] precision 0.98905 [1,1,0.985507,0,1,1] precision 0.989048 [1,1,0.985714,0,1,1] precision 0.936705 [0,0.833333,0.970149,0,0.857143,1] precision 0.957897 [1,1,0.957143,0,0.875,1] precision 0.933502 [1,0.818182,0.955882,0,0.833333,1] precision 0.96789 [1,0.9,0.985075,0,0.875,1] precision 0.936705 [0,0.833333,0.970149,0,0.857143,1] precision 0.98905 [1,1,0.985507,0,1,1] precision 0.955556 [1,0.8,0.970588,0,1,1] precision 0.946948 [1,0.818182,0.956522,0,1,1] precision 0.933642 [1,0.875,0.930556,0,1,1] precision 0.931453 [1,0.692308,0.969231,0,0.857143,1] precision 0.917508 [1,0.8,0.954545,0,0.666667,1] precision 0.946948 [1,0.818182,0.956522,0,1,1] precision 0.979167 [1,1,0.985294,0,0.875,1] precision 0.935615 [0,0.714286,0.984375,0,0.875,1] precision 0.957576 [1,0.818182,0.970588,0,1,1] precision 0.957897 [1,1,0.957143,0,0.875,1] precision 0.966989 [1,1,0.971014,0,0.857143,1] precision 0.914786 [0,0.727273,0.942029,0,1,1] precision 0.943539 [1,0.875,0.956522,0,0.875,1] precision 0.916835 [1,0.818182,0.916667,0,1,1] precision 0.960774 [1,0.75,0.984848,0,1,1] precision 0.968075 [1,1,0.957746,0,1,1] precision 0.944928 [1,0.8,0.956522,0,1,1] precision 0.957897 [1,1,0.957143,0,0.875,1] precision 0.968378 [1,1,0.971014,0,0.875,1] precision 0.918519 [1,0.666667,0.941176,0,1,1] precision 0.933977 [0,0.888889,0.943662,0,1,1] precision 0.979167 [1,1,0.985294,0,0.875,1] precision 0.981481 [1,0.833333,1,0,1,1] precision 0.95089 [1,0.818182,0.984615,0,0.777778,1] precision 0.943545 [1,0.875,0.943662,0,1,1] precision 0.96575 [1,0.888889,0.971429,0,1,1] precision 0.939506 [1,0.888889,0.955882,0,1,0.666667] precision 0.955556 [1,0.9,0.970588,0,0.857143,1] precision 0.977778 [1,0.9,0.985294,0,1,1] precision 0.921549 [1,0.727273,0.96875,0,0.875,0.666667] precision 0.957576 [1,0.818182,0.970588,0,1,1] precision 0.977778 [1,0.9,0.985294,0,1,1] precision 0.923319 [1,0.7,0.955882,0,0.857143,1] precision 0.958025 [1,1,0.944444,0,1,1] precision 0.94306 [0,0.888889,0.956522,0,0.857143,1] precision 0.944302 [0,0.8,0.957143,0,1,1] precision 0.966618 [0,0.9,0.971014,0,1,1] precision 0.946352 [0,0.818182,0.956522,0,1,1] precision 0.949103 [0,0.75,0.970149,0,1,1] precision 0.950324 [0,0.75,0.984615,0,0.875,1] precision 0.981273 [0,0.833333,1,0,1,1] precision 0.964239 [0,0.769231,1,0,0.875,1] precision 0.967732 [0,0.9,0.985294,0,0.857143,1] precision 0.957099 [0,0.818182,0.970588,0,1,1] precision 0.935649 [0,0.727273,0.955882,0,1,1] precision 0.966613 [0,0.9,0.971429,0,1,1] precision 0.944465 [0,0.888889,0.956522,0,0.875,1] precision 0.944309 [0,0.8,0.956522,0,1,1] precision 0.919181 [0,0.75,0.942857,0,0.857143,1] precision 0.96987 [0,0.833333,0.985075,0,1,1] precision 0.96817 [0,0.818182,0.985294,0,1,1] precision 0.977528 [0,0.9,0.985294,0,1,1] precision 0.937531 [0,0.75,0.970149,0,0.833333,1] precision 0.965369 [0,0.888889,0.971014,0,1,1] predictive_accuracy 0.955556 predictive_accuracy 0.966667 predictive_accuracy 0.977778 predictive_accuracy 0.977778 predictive_accuracy 0.933333 predictive_accuracy 0.977778 predictive_accuracy 0.922222 predictive_accuracy 0.955556 predictive_accuracy 0.966667 predictive_accuracy 0.988889 predictive_accuracy 0.933333 predictive_accuracy 0.922222 predictive_accuracy 0.933333 predictive_accuracy 0.911111 predictive_accuracy 0.922222 predictive_accuracy 0.955556 predictive_accuracy 0.955556 predictive_accuracy 0.944444 predictive_accuracy 0.955556 predictive_accuracy 0.944444 predictive_accuracy 0.955556 predictive_accuracy 0.966667 predictive_accuracy 0.933333 predictive_accuracy 0.944444 predictive_accuracy 0.988889 predictive_accuracy 0.922222 predictive_accuracy 0.988889 predictive_accuracy 0.944444 predictive_accuracy 0.944444 predictive_accuracy 0.966667 predictive_accuracy 0.966667 predictive_accuracy 0.955556 predictive_accuracy 0.944444 predictive_accuracy 0.977778 predictive_accuracy 0.955556 predictive_accuracy 0.944444 predictive_accuracy 0.911111 predictive_accuracy 0.933333 predictive_accuracy 0.988889 predictive_accuracy 0.988889 predictive_accuracy 0.944444 predictive_accuracy 0.955556 predictive_accuracy 0.933333 predictive_accuracy 0.966667 predictive_accuracy 0.944444 predictive_accuracy 0.988889 predictive_accuracy 0.955556 predictive_accuracy 0.944444 predictive_accuracy 0.933333 predictive_accuracy 0.922222 predictive_accuracy 0.911111 predictive_accuracy 0.944444 predictive_accuracy 0.977778 predictive_accuracy 0.933333 predictive_accuracy 0.955556 predictive_accuracy 0.955556 predictive_accuracy 0.966667 predictive_accuracy 0.922222 predictive_accuracy 0.944444 predictive_accuracy 0.911111 predictive_accuracy 0.955556 predictive_accuracy 0.966667 predictive_accuracy 0.944444 predictive_accuracy 0.955556 predictive_accuracy 0.966667 predictive_accuracy 0.911111 predictive_accuracy 0.944444 predictive_accuracy 0.977778 predictive_accuracy 0.977778 predictive_accuracy 0.944444 predictive_accuracy 0.944444 predictive_accuracy 0.966667 predictive_accuracy 0.933333 predictive_accuracy 0.955556 predictive_accuracy 0.977778 predictive_accuracy 0.911111 predictive_accuracy 0.955556 predictive_accuracy 0.977778 predictive_accuracy 0.922222 predictive_accuracy 0.955556 predictive_accuracy 0.94382 predictive_accuracy 0.94382 predictive_accuracy 0.966292 predictive_accuracy 0.94382 predictive_accuracy 0.94382 predictive_accuracy 0.94382 predictive_accuracy 0.977528 predictive_accuracy 0.955056 predictive_accuracy 0.966292 predictive_accuracy 0.955056 predictive_accuracy 0.932584 predictive_accuracy 0.966292 predictive_accuracy 0.94382 predictive_accuracy 0.94382 predictive_accuracy 0.921348 predictive_accuracy 0.966292 predictive_accuracy 0.966292 predictive_accuracy 0.977528 predictive_accuracy 0.932584 predictive_accuracy 0.966292 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 0.955556 [1,0.777778,0.971014,0,1,1] recall 0.966667 [1,0.888889,0.971014,0,1,1] recall 0.977778 [1,0.9,0.985507,0,1,1] recall 0.977778 [1,0.9,0.985507,0,1,1] recall 0.933333 [1,0.7,0.956522,0,1,1] recall 0.977778 [1,1,0.985507,0,0.833333,1] recall 0.922222 [1,0.5,0.985507,0,1,0.75] recall 0.955556 [1,0.8,0.971014,0,1,1] recall 0.966667 [1,0.888889,0.985507,0,1,0.75] recall 0.988889 [1,0.888889,1,0,1,1] recall 0.933333 [1,0.9,0.956522,0,0.833333,0.75] recall 0.922222 [1,0.9,0.955882,0,0.571429,1] recall 0.933333 [1,0.9,0.942029,0,0.833333,1] recall 0.911111 [1,0.8,0.985507,0,0.333333,0.75] recall 0.922222 [1,0.7,0.956522,0,0.833333,1] recall 0.955556 [1,0.8,0.985507,0,0.833333,1] recall 0.955556 [1,1,0.971014,0,0.714286,1] recall 0.944444 [1,0.8,0.985507,0,0.666667,1] recall 0.955556 [1,0.8,0.970588,0,1,1] recall 0.944444 [0,0.8,0.971014,0,1,1] recall 0.955556 [1,0.9,0.956522,0,1,1] recall 0.966667 [0,0.9,0.985294,0,1,1] recall 0.933333 [0,0.8,0.971014,0,0.833333,1] recall 0.944444 [1,0.8,0.971014,0,1,0.75] recall 0.988889 [1,1,0.985507,0,1,1] recall 0.922222 [1,0.8,0.942029,0,0.833333,1] recall 0.988889 [1,1,1,0,1,0.75] recall 0.944444 [1,0.9,0.956522,0,1,0.75] recall 0.944444 [0,0.9,0.970588,0,0.857143,1] recall 0.966667 [1,0.9,0.971014,0,1,1] recall 0.966667 [1,0.8,1,0,0.833333,1] recall 0.955556 [1,1,0.955882,0,0.857143,1] recall 0.944444 [1,0.888889,0.971014,0,0.714286,1] recall 0.977778 [1,1,0.985507,0,0.857143,1] recall 0.955556 [1,0.9,1,0,0.714286,0.75] recall 0.944444 [0,0.666667,1,0,0.857143,1] recall 0.911111 [1,0.8,0.955882,0,0.571429,1] recall 0.933333 [1,0.666667,0.985507,0,0.714286,1] recall 0.988889 [1,0.9,1,0,1,1] recall 0.988889 [1,0.9,1,0,1,1] recall 0.944444 [0,1,0.955882,0,0.857143,1] recall 0.955556 [1,0.7,0.985294,0,1,1] recall 0.933333 [1,0.9,0.955882,0,0.714286,1] recall 0.966667 [1,0.9,0.970588,0,1,1] recall 0.944444 [0,1,0.955882,0,0.857143,1] recall 0.988889 [1,0.9,1,0,1,1] recall 0.955556 [1,0.8,0.970588,0,1,1] recall 0.944444 [1,0.9,0.970588,0,0.857143,0.75] recall 0.933333 [1,0.7,0.985294,0,0.857143,0.75] recall 0.922222 [1,0.9,0.926471,0,0.857143,1] recall 0.911111 [1,0.8,0.926471,0,0.857143,1] recall 0.944444 [1,0.9,0.970588,0,0.714286,1] recall 0.977778 [1,0.9,0.985294,0,1,1] recall 0.933333 [0,1,0.926471,0,1,1] recall 0.955556 [1,0.9,0.970588,0,1,0.75] recall 0.955556 [1,0.7,0.985294,0,1,1] recall 0.966667 [1,0.9,0.985294,0,0.857143,1] recall 0.922222 [0,0.8,0.955882,0,0.857143,1] recall 0.944444 [1,0.7,0.970588,0,1,1] recall 0.911111 [1,0.9,0.970588,0,0.571429,0.5] recall 0.955556 [1,0.9,0.955882,0,1,1] recall 0.966667 [1,0.8,1,0,0.857143,1] recall 0.944444 [1,0.8,0.970588,0,1,0.75] recall 0.955556 [1,0.7,0.985294,0,1,1] recall 0.966667 [1,0.8,0.985294,0,1,1] recall 0.911111 [1,0.8,0.941176,0,0.857143,0.75] recall 0.944444 [0,0.8,0.985294,0,0.857143,1] recall 0.977778 [1,0.9,0.985294,0,1,1] recall 0.977778 [1,1,0.970588,0,1,1] recall 0.944444 [1,0.9,0.941176,0,1,1] recall 0.944444 [1,0.7,0.985294,0,0.857143,1] recall 0.966667 [1,0.8,0.985507,0,1,1] recall 0.933333 [1,0.8,0.955882,0,0.857143,1] recall 0.955556 [1,0.9,0.970588,0,0.857143,1] recall 0.977778 [1,0.9,0.985294,0,1,1] recall 0.911111 [1,0.8,0.911765,0,1,1] recall 0.955556 [1,0.9,0.970588,0,0.857143,1] recall 0.977778 [1,0.9,0.985294,0,1,1] recall 0.922222 [1,0.7,0.942029,0,1,1] recall 0.955556 [1,0.7,1,0,0.857143,1] recall 0.94382 [0,0.8,0.970588,0,0.857143,1] recall 0.94382 [0,0.8,0.971014,0,1,0.75] recall 0.966292 [0,0.9,0.985294,0,0.857143,1] recall 0.94382 [0,0.9,0.970588,0,0.714286,1] recall 0.94382 [0,0.9,0.955882,0,0.857143,1] recall 0.94382 [0,0.9,0.941176,0,1,1] recall 0.977528 [0,1,0.971014,0,1,1] recall 0.955056 [0,1,0.941176,0,1,1] recall 0.966292 [0,0.9,0.971014,0,1,1] recall 0.955056 [0,0.9,0.970588,0,0.857143,1] recall 0.932584 [0,0.8,0.955882,0,1,0.75] recall 0.966292 [0,0.9,0.985507,0,1,0.75] recall 0.94382 [0,0.8,0.970588,0,1,0.75] recall 0.94382 [0,0.8,0.970588,0,0.857143,1] recall 0.921348 [0,0.666667,0.956522,0,0.857143,1] recall 0.966292 [0,1,0.970588,0,1,0.75] recall 0.966292 [0,0.9,0.971014,0,1,1] recall 0.977528 [0,0.9,0.985294,0,1,1] recall 0.932584 [0,0.9,0.942029,0,0.833333,1] recall 0.966292 [0,0.8,0.985294,0,1,1] relative_absolute_error 0.258651 relative_absolute_error 0.281229 relative_absolute_error 0.29352 relative_absolute_error 0.280371 relative_absolute_error 0.291615 relative_absolute_error 0.26016 relative_absolute_error 0.316844 relative_absolute_error 0.273096 relative_absolute_error 0.26793 relative_absolute_error 0.200172 relative_absolute_error 0.334915 relative_absolute_error 0.301215 relative_absolute_error 0.273753 relative_absolute_error 0.330789 relative_absolute_error 0.341619 relative_absolute_error 0.258509 relative_absolute_error 0.2953 relative_absolute_error 0.318489 relative_absolute_error 0.261514 relative_absolute_error 0.309157 relative_absolute_error 0.253115 relative_absolute_error 0.259834 relative_absolute_error 0.293052 relative_absolute_error 0.286592 relative_absolute_error 0.239853 relative_absolute_error 0.34223 relative_absolute_error 0.248766 relative_absolute_error 0.302672 relative_absolute_error 0.290334 relative_absolute_error 0.274535 relative_absolute_error 0.270327 relative_absolute_error 0.323648 relative_absolute_error 0.322192 relative_absolute_error 0.274771 relative_absolute_error 0.280993 relative_absolute_error 0.289123 relative_absolute_error 0.348142 relative_absolute_error 0.319538 relative_absolute_error 0.244381 relative_absolute_error 0.282901 relative_absolute_error 0.308796 relative_absolute_error 0.298191 relative_absolute_error 0.342015 relative_absolute_error 0.216469 relative_absolute_error 0.318494 relative_absolute_error 0.229392 relative_absolute_error 0.302258 relative_absolute_error 0.327033 relative_absolute_error 0.308917 relative_absolute_error 0.292816 relative_absolute_error 0.342605 relative_absolute_error 0.248871 relative_absolute_error 0.258188 relative_absolute_error 0.325564 relative_absolute_error 0.293337 relative_absolute_error 0.28543 relative_absolute_error 0.275829 relative_absolute_error 0.321021 relative_absolute_error 0.303801 relative_absolute_error 0.318745 relative_absolute_error 0.258614 relative_absolute_error 0.256207 relative_absolute_error 0.334128 relative_absolute_error 0.265184 relative_absolute_error 0.263888 relative_absolute_error 0.379042 relative_absolute_error 0.301445 relative_absolute_error 0.243633 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