213858 2 Joaquin Vanschoren 1882 Supervised Classification predictive_accuracy 1185 weka.Bagging_REPTree(8) 2035 weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 80 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 M 2 1077 V 0.001 1077 N 3 1077 S 1 1077 L -1 1077 I 0.0 1077 P 100 1185 S 1 1185 num-slots 1 1185 I 80 1185 W weka.classifiers.trees.REPTree 1185 weka weka_3.7.12 2 anneal https://www.openml.org/data/download/1666876/phpFsFYVN -1 712680 description https://api.openml.org/data/download/712680/weka_generated_run6234550299662629805.xml -1 712683 model_readable https://api.openml.org/data/download/712683/WekaModel_weka.classifiers.meta.Bagging2333139713543013607.model -1 712682 model_serialized https://api.openml.org/data/download/712682/WekaSerialized_weka.classifiers.meta.Bagging6304817404180127314.model -1 712681 predictions https://api.openml.org/data/download/712681/weka_generated_predictions8396699788275021136.arff area_under_roc_curve 0.983936 [0.894857,0.988248,0.983338,0.0,0.995583,0.981797] average_cost 0 f_measure 0.936525 [0.769231,0.813211,0.961093,0,0.883002,0.944724] kappa 0.840267 kb_relative_information_score 6758.99485 mean_absolute_error 0.041954 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 0.93709 [1,0.876313,0.950916,0,0.870827,0.949495] predictive_accuracy 0.937862 prior_entropy 1.214875 recall 0.937862 [0.625,0.758586,0.971491,0,0.895522,0.94] relative_absolute_error 0.312378 root_mean_prior_squared_error 0.258218 root_mean_squared_error 0.127909 root_relative_squared_error 0.495353 scimark_benchmark 939.449026 [547.8142687314753, 1013.1204302006943, 481.49857166643204, 902.6997108813531, 1752.1121496976039] total_cost 0 usercpu_time_millis 1340 usercpu_time_millis_testing 30 usercpu_time_millis_training 1310 area_under_roc_curve 0.991312 [0.988764,0.972565,0.992409,0.0,1,1] area_under_roc_curve 0.989994 [1,0.994513,0.987923,0.0,0.998279,0.998547] area_under_roc_curve 0.982851 [1,0.98375,0.980676,0.0,0.992063,1] area_under_roc_curve 0.983033 [0.988764,0.979375,0.981021,0.0,1,1] area_under_roc_curve 0.992725 [1,1,0.991028,0.0,0.994048,1] area_under_roc_curve 0.997302 [1,0.99,0.99793,0.0,1,1] area_under_roc_curve 0.983623 [1,0.989375,0.981021,0.0,1,0.985465] area_under_roc_curve 0.981124 [1,0.9825,0.978606,0.0,0.992063,1] area_under_roc_curve 0.980554 [1,0.986283,0.979296,0.0,0.998279,0.953488] area_under_roc_curve 0.997087 [1,1,0.996549,0.0,0.996558,1] area_under_roc_curve 0.97297 [1,1,0.969634,0.0,0.998016,0.918605] area_under_roc_curve 0.985954 [1,0.9875,0.983957,0.0,0.993115,1] area_under_roc_curve 0.990582 [1,0.995,0.989648,0.0,0.986111,1] area_under_roc_curve 0.977984 [1,0.9925,0.979296,0.0,0.992063,0.892442] area_under_roc_curve 0.95088 [1,0.94125,0.94479,0.0,0.996032,1] area_under_roc_curve 0.992652 [1,0.98625,0.992409,0.0,1,1] area_under_roc_curve 0.986223 [0.988764,0.995885,0.984127,0.0,0.986231,1] area_under_roc_curve 0.992371 [1,0.995625,0.991373,0.0,0.992063,1] area_under_roc_curve 0.993343 [1,0.9925,0.992647,0.0,0.996558,1] area_under_roc_curve 0.97632 [0.679775,0.984375,0.97619,0.0,0.998016,1] area_under_roc_curve 0.992434 [1,0.995,0.991028,0.0,0.998016,1] area_under_roc_curve 0.989113 [0.421348,0.99625,0.994652,0.0,1,1] area_under_roc_curve 0.983112 [0.544944,0.98875,0.986197,0.0,1,1] area_under_roc_curve 0.988865 [1,0.9925,0.987578,0.0,0.998016,0.985465] area_under_roc_curve 0.991389 [1,0.9975,0.990338,0.0,0.986111,1] area_under_roc_curve 0.978565 [1,0.97375,0.976536,0.0,0.992063,1] area_under_roc_curve 0.994655 [1,0.9975,0.993984,0.0,0.998279,0.991279] area_under_roc_curve 0.986881 [1,0.995,0.984127,0.0,0.996032,0.997093] area_under_roc_curve 0.980125 [0.707865,0.99125,0.979278,0.0,1,1] area_under_roc_curve 0.983381 [0.977528,0.98125,0.981366,0.0,1,1] 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area_under_roc_curve 1 [1,1,1,0.0,1,1] area_under_roc_curve 0.98221 [1,0.97625,0.979947,0.0,1,1] area_under_roc_curve 0.979026 [1,0.98375,0.980615,0.0,1,0.898256] area_under_roc_curve 0.990272 [1,0.9875,0.989305,0.0,1,0.994186] area_under_roc_curve 0.991323 [1,0.9925,0.989973,0.0,0.996558,1] area_under_roc_curve 0.961242 [1,0.975,0.955214,0.0,0.972461,1] area_under_roc_curve 1 [1,1,1,0.0,1,1] area_under_roc_curve 0.992477 [1,0.995,0.99131,0.0,0.994836,1] area_under_roc_curve 0.965958 [0.370787,0.975,0.968583,0.0,0.993115,1] area_under_roc_curve 0.983896 [1,0.99375,0.979947,0.0,1,0.994186] area_under_roc_curve 0.983192 [1,0.9875,0.979947,0.0,0.996558,1] area_under_roc_curve 0.997568 [1,0.9975,0.997326,0.0,0.998279,1] area_under_roc_curve 0.973681 [0.44382,0.96875,0.977941,0.0,1,1] area_under_roc_curve 0.989535 [1,0.99125,0.987968,0.0,0.994836,1] area_under_roc_curve 0.979615 [1,0.99125,0.986631,0.0,0.996558,0.796512] area_under_roc_curve 0.996442 [0.977528,0.9975,0.995989,0.0,1,1] 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0.988114 [1,0.98875,0.986631,0.0,0.993115,1] area_under_roc_curve 0.985346 [1,0.9875,0.98262,0.0,0.998279,1] area_under_roc_curve 0.988571 [1,0.99,0.986888,0.0,0.996032,1] area_under_roc_curve 0.980995 [1,0.995,0.975936,0.0,0.996558,1] area_under_roc_curve 0.989777 [0.0,0.992405,0.988095,0.0,0.996516,1] area_under_roc_curve 0.985274 [0.0,0.989873,0.983333,0.0,0.995984,0.991176] area_under_roc_curve 0.997325 [0.0,1,0.996499,0.0,1,1] area_under_roc_curve 0.991907 [0.0,0.989873,0.990896,0.0,1,1] area_under_roc_curve 0.987735 [0.0,0.986076,0.985994,0.0,1,1] area_under_roc_curve 0.996306 [0.0,0.988608,0.997199,0.0,0.996516,1] area_under_roc_curve 0.990733 [0.0,0.994937,0.98913,0.0,0.995984,1] area_under_roc_curve 0.991666 [0.0,0.994937,0.990196,0.0,0.996516,1] area_under_roc_curve 0.979497 [0.0,0.987342,0.976087,0.0,0.991968,1] area_under_roc_curve 0.990586 [0.0,0.992405,0.988796,0.0,1,1] area_under_roc_curve 0.968865 [0.0,0.977215,0.969188,0.0,0.996516,0.894118] area_under_roc_curve 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[1,0.705882,0.942857,0,0.923077,0.75] f_measure 0.91816 [1,0.705882,0.94964,0,0.857143,1] f_measure 0.954643 [1,0.888889,0.971014,0,0.857143,1] f_measure 0.923828 [0,0.705882,0.957143,0,1,1] f_measure 0.942548 [1,0.777778,0.963504,0,0.933333,1] f_measure 0.873188 [0,0.8,0.937063,0,0.6,0.666667] f_measure 0.961694 [0,0.909091,0.985294,0,0.923077,1] f_measure 0.914532 [1,0.666667,0.950355,0,0.923077,0.888889] f_measure 0.941267 [1,0.823529,0.964539,0,0.923077,0.857143] f_measure 0.94403 [1,0.888889,0.963504,0,0.857143,0.888889] f_measure 0.942527 [1,0.888889,0.964029,0,0.769231,1] f_measure 0.889411 [1,0.736842,0.926471,0,0.75,0.857143] f_measure 0.939092 [0,0.8,0.963504,0,1,1] f_measure 0.954643 [1,0.888889,0.971014,0,0.857143,1] f_measure 0.937976 [0,0.9,0.971014,0,0.833333,0.888889] f_measure 0.934225 [1,0.8,0.955224,0,0.875,1] f_measure 0.93617 [1,0.666667,0.964539,0,1,1] f_measure 0.940212 [0,0.761905,0.971014,0,1,1] f_measure 0.934251 [1,0.842105,0.955882,0,0.923077,0.8] f_measure 0.925441 [0,0.857143,0.963504,0,0.933333,0.666667] f_measure 0.951897 [0,0.818182,0.977778,0,1,1] f_measure 0.92 [0,0.909091,0.954545,0,0.8,0.8] f_measure 0.912882 [1,0.761905,0.940299,0,0.8,1] f_measure 0.944856 [1,0.9,0.962963,0,0.857143,0.888889] f_measure 0.943767 [1,0.842105,0.964029,0,0.833333,1] f_measure 0.929249 [1,0.75,0.956522,0,0.933333,0.888889] f_measure 0.932821 [0,0.842105,0.955882,0,0.8,1] f_measure 0.942765 [0,0.842105,0.964029,0,0.923077,0.857143] f_measure 0.98899 [0,0.952381,0.992593,0,1,1] f_measure 0.965983 [0,0.9,0.978102,0,0.923077,1] f_measure 0.965528 [0,0.842105,0.978102,0,1,1] f_measure 0.954133 [0,0.888889,0.971014,0,0.857143,1] f_measure 0.914608 [0,0.777778,0.951049,0,0.666667,1] f_measure 0.967584 [0,0.952381,0.977444,0,0.875,1] f_measure 0.931538 [0,0.736842,0.956522,0,0.923077,1] f_measure 0.96697 [0,0.857143,0.977778,0,1,1] f_measure 0.929816 [0,0.777778,0.957143,0,0.923077,0.857143] f_measure 0.932214 [0,0.8,0.956522,0,0.923077,0.857143] f_measure 0.902541 [0,0.625,0.942857,0,0.933333,0.857143] f_measure 0.928158 [0,0.705882,0.957143,0,0.923077,1] f_measure 0.892779 [0,0.533333,0.935252,0,0.875,1] f_measure 0.943223 [0,0.8,0.963504,0,1,0.857143] f_measure 0.952835 [0,0.823529,0.971429,0,0.923077,1] f_measure 0.965791 [0,0.888889,0.978102,0,1,0.888889] f_measure 0.896791 [0,0.666667,0.935252,0,0.769231,1] f_measure 0.955056 [0,0.9,0.970588,0,0.857143,1] kappa 0.81263 kappa 0.8373 kappa 0.73009 kappa 0.858357 kappa 0.861836 kappa 0.94133 kappa 0.82399 kappa 0.76593 kappa 0.850449 kappa 0.882889 kappa 0.866588 kappa 0.861751 kappa 0.790906 kappa 0.856184 kappa 0.730808 kappa 0.808782 kappa 0.864171 kappa 0.888889 kappa 0.833795 kappa 0.855862 kappa 0.916898 kappa 0.882468 kappa 0.8498 kappa 0.856 kappa 0.917 kappa 0.777778 kappa 0.887183 kappa 0.798658 kappa 0.861368 kappa 0.888752 kappa 0.772152 kappa 0.755065 kappa 0.863884 kappa 0.790837 kappa 0.884541 kappa 0.843967 kappa 0.809495 kappa 0.738941 kappa 0.830774 kappa 0.831039 kappa 0.812779 kappa 0.830933 kappa 0.827145 kappa 0.856368 kappa 0.806094 kappa 0.972299 kappa 0.86639 kappa 0.824047 kappa 0.850697 kappa 0.831092 kappa 0.760142 kappa 0.882583 kappa 0.856092 kappa 0.774577 kappa 0.765854 kappa 0.799107 kappa 0.887289 kappa 0.824047 kappa 0.861751 kappa 0.68652 kappa 0.918132 kappa 0.791598 kappa 0.850548 kappa 0.861878 kappa 0.856368 kappa 0.728097 kappa 0.86124 kappa 0.887289 kappa 0.858713 kappa 0.842657 kappa 0.850993 kappa 0.858357 kappa 0.8373 kappa 0.833024 kappa 0.892825 kappa 0.822435 kappa 0.790026 kappa 0.866627 kappa 0.856092 kappa 0.831408 kappa 0.829665 kappa 0.848999 kappa 0.9721 kappa 0.913058 kappa 0.913142 kappa 0.881963 kappa 0.769345 kappa 0.919384 kappa 0.822709 kappa 0.916301 kappa 0.815289 kappa 0.822355 kappa 0.754229 kappa 0.815671 kappa 0.729209 kappa 0.854954 kappa 0.876987 kappa 0.913312 kappa 0.72875 kappa 0.886335 kb_relative_information_score 67.282462 kb_relative_information_score 66.54144 kb_relative_information_score 66.722596 kb_relative_information_score 66.83207 kb_relative_information_score 70.730488 kb_relative_information_score 69.706256 kb_relative_information_score 66.781221 kb_relative_information_score 65.588088 kb_relative_information_score 64.950003 kb_relative_information_score 73.711982 kb_relative_information_score 68.185979 kb_relative_information_score 71.46457 kb_relative_information_score 69.150455 kb_relative_information_score 65.940897 kb_relative_information_score 61.36396 kb_relative_information_score 68.764343 kb_relative_information_score 65.276435 kb_relative_information_score 66.863974 kb_relative_information_score 71.232918 kb_relative_information_score 62.111126 kb_relative_information_score 74.065032 kb_relative_information_score 70.683411 kb_relative_information_score 65.755804 kb_relative_information_score 64.533325 kb_relative_information_score 70.797443 kb_relative_information_score 62.594007 kb_relative_information_score 72.179701 kb_relative_information_score 67.110642 kb_relative_information_score 68.150752 kb_relative_information_score 66.030678 kb_relative_information_score 70.33548 kb_relative_information_score 65.239366 kb_relative_information_score 65.5388 kb_relative_information_score 67.677924 kb_relative_information_score 69.57274 kb_relative_information_score 65.62078 kb_relative_information_score 63.899321 kb_relative_information_score 67.555463 kb_relative_information_score 72.620617 kb_relative_information_score 66.329782 kb_relative_information_score 61.446902 kb_relative_information_score 70.959967 kb_relative_information_score 66.323961 kb_relative_information_score 74.470884 kb_relative_information_score 64.4822 kb_relative_information_score 79.65853 kb_relative_information_score 70.640144 kb_relative_information_score 67.708489 kb_relative_information_score 68.254835 kb_relative_information_score 70.86471 kb_relative_information_score 63.273523 kb_relative_information_score 77.222346 kb_relative_information_score 71.058951 kb_relative_information_score 60.949135 kb_relative_information_score 67.465334 kb_relative_information_score 69.514014 kb_relative_information_score 74.6947 kb_relative_information_score 64.262302 kb_relative_information_score 71.264091 kb_relative_information_score 62.37157 kb_relative_information_score 69.645428 kb_relative_information_score 67.413042 kb_relative_information_score 68.264879 kb_relative_information_score 69.199278 kb_relative_information_score 75.588366 kb_relative_information_score 61.121186 kb_relative_information_score 68.334074 kb_relative_information_score 72.295327 kb_relative_information_score 71.072307 kb_relative_information_score 69.565966 kb_relative_information_score 72.612066 kb_relative_information_score 67.211384 kb_relative_information_score 69.79833 kb_relative_information_score 66.487619 kb_relative_information_score 68.990811 kb_relative_information_score 65.379548 kb_relative_information_score 69.206607 kb_relative_information_score 70.668341 kb_relative_information_score 66.450992 kb_relative_information_score 68.812467 kb_relative_information_score 65.508841 kb_relative_information_score 59.94543 kb_relative_information_score 71.948794 kb_relative_information_score 71.682661 kb_relative_information_score 67.412641 kb_relative_information_score 67.893611 kb_relative_information_score 64.958492 kb_relative_information_score 69.957615 kb_relative_information_score 64.534012 kb_relative_information_score 66.431366 kb_relative_information_score 59.410488 kb_relative_information_score 58.921063 kb_relative_information_score 59.237833 kb_relative_information_score 65.198584 kb_relative_information_score 57.769729 kb_relative_information_score 65.827104 kb_relative_information_score 65.643683 kb_relative_information_score 68.041864 kb_relative_information_score 58.637116 kb_relative_information_score 69.536986 mean_absolute_error 0.041265 mean_absolute_error 0.045185 mean_absolute_error 0.043799 mean_absolute_error 0.041244 mean_absolute_error 0.03707 mean_absolute_error 0.038197 mean_absolute_error 0.040623 mean_absolute_error 0.04687 mean_absolute_error 0.043851 mean_absolute_error 0.034107 mean_absolute_error 0.038604 mean_absolute_error 0.040467 mean_absolute_error 0.039444 mean_absolute_error 0.043424 mean_absolute_error 0.049692 mean_absolute_error 0.039896 mean_absolute_error 0.046482 mean_absolute_error 0.042584 mean_absolute_error 0.039303 mean_absolute_error 0.046295 mean_absolute_error 0.031781 mean_absolute_error 0.035746 mean_absolute_error 0.039956 mean_absolute_error 0.04567 mean_absolute_error 0.036684 mean_absolute_error 0.048759 mean_absolute_error 0.0371 mean_absolute_error 0.040384 mean_absolute_error 0.040824 mean_absolute_error 0.042772 mean_absolute_error 0.037483 mean_absolute_error 0.050228 mean_absolute_error 0.043907 mean_absolute_error 0.043635 mean_absolute_error 0.038934 mean_absolute_error 0.041895 mean_absolute_error 0.05008 mean_absolute_error 0.041371 mean_absolute_error 0.039058 mean_absolute_error 0.043938 mean_absolute_error 0.050237 mean_absolute_error 0.040334 mean_absolute_error 0.047866 mean_absolute_error 0.03441 mean_absolute_error 0.046543 mean_absolute_error 0.028119 mean_absolute_error 0.041474 mean_absolute_error 0.045357 mean_absolute_error 0.043668 mean_absolute_error 0.04187 mean_absolute_error 0.054861 mean_absolute_error 0.03268 mean_absolute_error 0.041847 mean_absolute_error 0.05189 mean_absolute_error 0.044566 mean_absolute_error 0.04203 mean_absolute_error 0.036233 mean_absolute_error 0.047316 mean_absolute_error 0.041856 mean_absolute_error 0.04633 mean_absolute_error 0.04175 mean_absolute_error 0.047206 mean_absolute_error 0.044365 mean_absolute_error 0.04412 mean_absolute_error 0.033292 mean_absolute_error 0.05527 mean_absolute_error 0.040134 mean_absolute_error 0.039497 mean_absolute_error 0.038679 mean_absolute_error 0.044228 mean_absolute_error 0.040093 mean_absolute_error 0.039668 mean_absolute_error 0.043775 mean_absolute_error 0.047644 mean_absolute_error 0.043103 mean_absolute_error 0.04876 mean_absolute_error 0.044977 mean_absolute_error 0.040486 mean_absolute_error 0.04539 mean_absolute_error 0.045014 mean_absolute_error 0.041872 mean_absolute_error 0.043252 mean_absolute_error 0.030746 mean_absolute_error 0.030879 mean_absolute_error 0.039161 mean_absolute_error 0.036917 mean_absolute_error 0.037765 mean_absolute_error 0.033027 mean_absolute_error 0.037094 mean_absolute_error 0.039603 mean_absolute_error 0.049055 mean_absolute_error 0.046162 mean_absolute_error 0.046667 mean_absolute_error 0.041184 mean_absolute_error 0.050728 mean_absolute_error 0.03883 mean_absolute_error 0.037508 mean_absolute_error 0.037041 mean_absolute_error 0.046658 mean_absolute_error 0.035265 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 0.92042 [0,0.833333,0.932432,0,1,1] precision 0.936281 [1,0.777778,0.970149,0,0.875,0.8] precision 0.894753 [1,0.777778,0.916667,0,0.75,1] precision 0.936364 [0,0.727273,0.971014,0,1,1] precision 0.955229 [1,1,0.970588,0,0.666667,1] precision 0.978404 [1,1,0.971831,0,1,1] precision 0.931808 [1,0.875,0.943662,0,1,0.75] precision 0.910824 [1,0.833333,0.929577,0,0.75,1] precision 0.947685 [1,1,0.944444,0,0.875,1] precision 0.957883 [1,1,0.957746,0,0.875,1] precision 0.950981 [1,0.909091,0.984848,0,0.857143,0.6] precision 0.943539 [1,0.875,0.956522,0,0.875,1] precision 0.927712 [1,1,0.930556,0,0.714286,1] precision 0.950476 [1,1,0.957143,0,0.75,1] precision 0.893254 [1,0.714286,0.916667,0,0.833333,1] precision 0.938667 [1,1,0.92,0,1,1] precision 0.940162 [0,0.888889,0.985075,0,0.777778,0.8] precision 0.947889 [0,0.818182,0.985294,0,0.857143,1] precision 0.924866 [0,0.875,0.956522,0,0.777778,1] precision 0.934162 [0,0.888889,0.957143,0,0.857143,1] precision 0.968091 [1,0.9,0.985294,0,0.857143,1] precision 0.946914 [0,1,0.944444,0,1,1] precision 0.933951 [0,0.888889,0.944444,0,1,1] precision 0.945273 [1,0.888889,0.957143,0,0.857143,1] precision 0.972059 [1,1,0.985294,0,0.75,1] precision 0.905715 [0,0.727273,0.955882,0,0.714286,1] precision 0.957897 [1,1,0.957143,0,0.875,1] precision 0.925635 [1,0.875,0.942857,0,0.75,1] precision 0.936039 [0,0.9,0.956522,0,1,0.8] precision 0.949837 [0,0.75,0.985294,0,1,1] precision 0.929386 [1,1,0.907895,0,1,1] precision 0.893827 [0,0.777778,0.941176,0,0.666667,1] precision 0.93982 [0,0.818182,0.985075,0,0.75,1] precision 0.924537 [1,1,0.930556,0,0.714286,1] precision 0.945853 [0,0.9,0.957746,0,1,1] precision 0.937087 [0,1,0.932432,0,1,1] precision 0.91358 [0,0.777778,0.955882,0,0.777778,1] precision 0.901608 [0,0.833333,0.907895,0,1,1] precision 0.931517 [1,0.888889,0.942857,0,0.833333,1] precision 0.934365 [1,0.875,0.956522,0,0.857143,0.8] precision 0.915552 [0,0.8,0.955224,0,0.777778,1] precision 0.931825 [1,0.875,0.942857,0,0.857143,1] precision 0.921014 [0,0.888889,0.943662,0,0.833333,1] precision 0.944471 [1,1,0.943662,0,0.833333,1] precision 0.912743 [0,0.888889,0.942029,0,0.857143,0.8] precision 0.98905 [1,1,0.985507,0,1,1] precision 0.947143 [1,0.727273,0.970149,0,1,1] precision 0.933642 [1,0.875,0.930556,0,1,1] precision 0.94825 [1,1,0.931507,0,1,1] precision 0.937381 [1,1,0.942857,0,0.75,1] precision 0.903781 [1,0.75,0.940299,0,0.7,1] precision 0.958025 [1,1,0.944444,0,1,1] precision 0.947711 [1,1,0.943662,0,0.875,1] precision 0.900437 [0,0.857143,0.928571,0,0.875,0.8] precision 0.910053 [1,0.857143,0.916667,0,1,0.75] precision 0.919808 [1,0.857143,0.929577,0,0.857143,1] precision 0.956508 [1,1,0.957143,0,0.857143,1] precision 0.920547 [0,0.857143,0.930556,0,1,1] precision 0.943539 [1,0.875,0.956522,0,0.875,1] precision 0.886074 [0,0.8,0.893333,0,1,1] precision 0.959259 [0,0.833333,0.985294,0,1,1] precision 0.929011 [1,1,0.917808,0,1,0.8] precision 0.94825 [1,1,0.931507,0,1,1] precision 0.94715 [1,1,0.956522,0,0.857143,0.8] precision 0.944471 [1,1,0.943662,0,0.833333,1] precision 0.893827 [1,0.777778,0.926471,0,0.666667,1] precision 0.933816 [0,0.8,0.956522,0,1,1] precision 0.956508 [1,1,0.957143,0,0.857143,1] precision 0.936508 [0,0.9,0.957143,0,1,0.8] precision 0.937598 [1,0.8,0.969697,0,0.777778,1] precision 0.94825 [1,1,0.931507,0,1,1] precision 0.936364 [0,0.727273,0.971014,0,1,1] precision 0.939506 [1,0.888889,0.955882,0,1,0.666667] precision 0.926114 [0,0.818182,0.956522,0,0.875,1] precision 0.949834 [0,0.75,0.985075,0,1,1] precision 0.924306 [0,0.833333,0.984375,0,0.75,0.666667] precision 0.915909 [1,0.727273,0.954545,0,0.75,1] precision 0.946335 [1,0.9,0.970149,0,0.857143,0.8] precision 0.943686 [1,0.888889,0.957143,0,0.833333,1] precision 0.938214 [1,1,0.942857,0,0.875,0.8] precision 0.934145 [0,0.888889,0.955882,0,0.75,1] precision 0.944658 [0,0.888889,0.957143,0,0.857143,1] precision 0.989785 [0,0.909091,1,0,1,1] precision 0.966618 [0,0.9,0.971014,0,1,1] precision 0.965369 [0,0.888889,0.971014,0,1,1] precision 0.956019 [0,1,0.957143,0,0.857143,1] precision 0.923094 [0,0.875,0.918919,0,1,1] precision 0.972307 [0,0.909091,1,0,0.777778,1] precision 0.931693 [0,0.777778,0.956522,0,0.857143,1] precision 0.968167 [0,0.818182,0.985075,0,1,1] precision 0.932896 [0,0.875,0.930556,0,1,1] precision 0.934189 [0,0.8,0.956522,0,0.857143,1] precision 0.907772 [0,0.833333,0.916667,0,0.875,1] precision 0.93089 [0,0.857143,0.930556,0,1,1] precision 0.893437 [0,0.666667,0.928571,0,0.777778,1] precision 0.944309 [0,0.8,0.956522,0,1,1] precision 0.957611 [0,1,0.957746,0,0.857143,1] precision 0.968865 [0,1,0.971014,0,1,0.8] precision 0.897271 [0,0.75,0.928571,0,0.714286,1] precision 0.955056 [0,0.9,0.970588,0,0.857143,1] predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.9 predictive_accuracy 0.944444 predictive_accuracy 0.944444 predictive_accuracy 0.977778 predictive_accuracy 0.933333 predictive_accuracy 0.911111 predictive_accuracy 0.944444 predictive_accuracy 0.955556 predictive_accuracy 0.944444 predictive_accuracy 0.944444 predictive_accuracy 0.922222 predictive_accuracy 0.944444 predictive_accuracy 0.9 predictive_accuracy 0.933333 predictive_accuracy 0.944444 predictive_accuracy 0.955556 predictive_accuracy 0.933333 predictive_accuracy 0.944444 predictive_accuracy 0.966667 predictive_accuracy 0.955556 predictive_accuracy 0.944444 predictive_accuracy 0.944444 predictive_accuracy 0.966667 predictive_accuracy 0.911111 predictive_accuracy 0.955556 predictive_accuracy 0.922222 predictive_accuracy 0.944444 predictive_accuracy 0.955556 predictive_accuracy 0.922222 predictive_accuracy 0.9 predictive_accuracy 0.944444 predictive_accuracy 0.922222 predictive_accuracy 0.955556 predictive_accuracy 0.944444 predictive_accuracy 0.922222 predictive_accuracy 0.911111 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.922222 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.944444 predictive_accuracy 0.922222 predictive_accuracy 0.988889 predictive_accuracy 0.944444 predictive_accuracy 0.933333 predictive_accuracy 0.944444 predictive_accuracy 0.933333 predictive_accuracy 0.9 predictive_accuracy 0.955556 predictive_accuracy 0.944444 predictive_accuracy 0.911111 predictive_accuracy 0.911111 predictive_accuracy 0.922222 predictive_accuracy 0.955556 predictive_accuracy 0.933333 predictive_accuracy 0.944444 predictive_accuracy 0.888889 predictive_accuracy 0.966667 predictive_accuracy 0.922222 predictive_accuracy 0.944444 predictive_accuracy 0.944444 predictive_accuracy 0.944444 predictive_accuracy 0.888889 predictive_accuracy 0.944444 predictive_accuracy 0.955556 predictive_accuracy 0.944444 predictive_accuracy 0.933333 predictive_accuracy 0.944444 predictive_accuracy 0.944444 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.955556 predictive_accuracy 0.922222 predictive_accuracy 0.911111 predictive_accuracy 0.944444 predictive_accuracy 0.944444 predictive_accuracy 0.933333 predictive_accuracy 0.932584 predictive_accuracy 0.94382 predictive_accuracy 0.988764 predictive_accuracy 0.966292 predictive_accuracy 0.966292 predictive_accuracy 0.955056 predictive_accuracy 0.921348 predictive_accuracy 0.966292 predictive_accuracy 0.932584 predictive_accuracy 0.966292 predictive_accuracy 0.932584 predictive_accuracy 0.932584 predictive_accuracy 0.910112 predictive_accuracy 0.932584 predictive_accuracy 0.898876 predictive_accuracy 0.94382 predictive_accuracy 0.955056 predictive_accuracy 0.966292 predictive_accuracy 0.898876 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 0.933333 [0,0.555556,1,0,0.857143,1] recall 0.933333 [1,0.777778,0.942029,0,1,1] recall 0.9 [1,0.7,0.956522,0,0.5,1] recall 0.944444 [0,0.8,0.971014,0,1,1] recall 0.944444 [1,0.8,0.956522,0,1,1] recall 0.977778 [1,0.8,1,0,1,1] recall 0.933333 [1,0.7,0.971014,0,1,0.75] recall 0.911111 [1,0.5,0.956522,0,1,1] recall 0.944444 [1,0.666667,0.985507,0,1,0.75] recall 0.955556 [1,0.666667,0.985507,0,1,1] recall 0.944444 [1,1,0.942029,0,1,0.75] recall 0.944444 [1,0.7,0.970588,0,1,1] recall 0.922222 [1,0.6,0.971014,0,0.833333,1] recall 0.944444 [1,0.8,0.971014,0,1,0.75] recall 0.9 [1,0.5,0.956522,0,0.833333,1] recall 0.933333 [1,0.6,1,0,0.666667,1] recall 0.944444 [0,0.888889,0.956522,0,1,1] recall 0.955556 [0,0.9,0.971014,0,1,1] recall 0.933333 [0,0.7,0.970588,0,1,1] recall 0.944444 [0,0.8,0.971014,0,1,1] recall 0.966667 [1,0.9,0.971014,0,1,1] recall 0.955556 [0,0.9,1,0,0.714286,1] recall 0.944444 [0,0.8,0.985507,0,0.833333,1] recall 0.944444 [1,0.8,0.971014,0,1,0.75] recall 0.966667 [1,0.9,0.971014,0,1,1] recall 0.911111 [0,0.8,0.942029,0,0.833333,1] recall 0.955556 [1,0.8,0.985294,0,1,0.75] recall 0.922222 [1,0.7,0.956522,0,1,0.75] recall 0.944444 [0,0.9,0.970588,0,0.857143,1] recall 0.955556 [0,0.9,0.971014,0,1,1] recall 0.922222 [1,0.5,1,0,0.666667,1] recall 0.9 [0,0.7,0.941176,0,0.857143,1] recall 0.944444 [0,1,0.956522,0,0.857143,1] recall 0.922222 [1,0.666667,0.971014,0,0.714286,1] recall 0.955556 [0,0.9,1,0,0.857143,0.75] recall 0.944444 [0,0.555556,1,0,1,1] recall 0.922222 [0,0.7,0.955882,0,1,1] recall 0.911111 [0,0.555556,1,0,0.571429,1] recall 0.933333 [1,0.8,0.970588,0,0.714286,1] recall 0.933333 [1,0.7,0.956522,0,1,1] recall 0.922222 [0,0.8,0.941176,0,1,1] recall 0.933333 [1,0.7,0.970588,0,0.857143,1] recall 0.933333 [0,0.8,0.985294,0,0.714286,1] recall 0.944444 [1,0.8,0.985294,0,0.714286,1] recall 0.922222 [0,0.8,0.955882,0,0.857143,1] recall 0.988889 [1,1,1,0,0.857143,1] recall 0.944444 [1,0.8,0.955882,0,1,1] recall 0.933333 [1,0.7,0.985294,0,0.857143,0.75] recall 0.944444 [1,0.6,1,0,1,0.75] recall 0.933333 [1,0.7,0.970588,0,0.857143,1] recall 0.9 [1,0.6,0.926471,0,1,1] recall 0.955556 [1,1,1,0,0.428571,1] recall 0.944444 [1,0.8,0.985294,0,1,0.5] recall 0.911111 [0,0.6,0.955882,0,1,1] recall 0.911111 [1,0.6,0.970588,0,0.857143,0.75] recall 0.922222 [1,0.6,0.970588,0,0.857143,1] recall 0.955556 [1,0.8,0.985294,0,0.857143,1] recall 0.933333 [0,0.6,0.985294,0,1,1] recall 0.944444 [1,0.7,0.970588,0,1,1] recall 0.888889 [0,0.8,0.985294,0,0.428571,0.5] recall 0.966667 [0,1,0.985294,0,0.857143,1] recall 0.922222 [1,0.5,0.985294,0,0.857143,1] recall 0.944444 [1,0.7,1,0,0.857143,0.75] recall 0.944444 [1,0.8,0.970588,0,0.857143,1] recall 0.944444 [1,0.8,0.985294,0,0.714286,1] recall 0.888889 [1,0.7,0.926471,0,0.857143,0.75] recall 0.944444 [0,0.8,0.970588,0,1,1] recall 0.955556 [1,0.8,0.985294,0,0.857143,1] recall 0.944444 [0,0.9,0.985294,0,0.714286,1] recall 0.933333 [1,0.8,0.941176,0,1,1] recall 0.944444 [1,0.5,1,0,1,1] recall 0.944444 [0,0.8,0.971014,0,1,1] recall 0.933333 [1,0.8,0.955882,0,0.857143,1] recall 0.933333 [0,0.9,0.970588,0,1,0.5] recall 0.955556 [0,0.9,0.970588,0,1,1] recall 0.922222 [0,1,0.926471,0,0.857143,1] recall 0.911111 [1,0.8,0.926471,0,0.857143,1] recall 0.944444 [1,0.9,0.955882,0,0.857143,1] recall 0.944444 [1,0.8,0.971014,0,0.833333,1] recall 0.933333 [1,0.6,0.970588,0,1,1] recall 0.932584 [0,0.8,0.955882,0,0.857143,1] recall 0.94382 [0,0.8,0.971014,0,1,0.75] recall 0.988764 [0,1,0.985294,0,1,1] recall 0.966292 [0,0.9,0.985294,0,0.857143,1] recall 0.966292 [0,0.8,0.985294,0,1,1] recall 0.955056 [0,0.8,0.985294,0,0.857143,1] recall 0.921348 [0,0.7,0.985507,0,0.5,1] recall 0.966292 [0,1,0.955882,0,1,1] recall 0.932584 [0,0.7,0.956522,0,1,1] recall 0.966292 [0,0.9,0.970588,0,1,1] recall 0.932584 [0,0.7,0.985294,0,0.857143,0.75] recall 0.932584 [0,0.8,0.956522,0,1,0.75] recall 0.910112 [0,0.5,0.970588,0,1,0.75] recall 0.932584 [0,0.6,0.985294,0,0.857143,1] recall 0.898876 [0,0.444444,0.942029,0,1,1] recall 0.94382 [0,0.8,0.970588,0,1,0.75] recall 0.955056 [0,0.7,0.985507,0,1,1] recall 0.966292 [0,0.8,0.985294,0,1,1] recall 0.898876 [0,0.6,0.942029,0,0.833333,1] recall 0.955056 [0,0.9,0.970588,0,0.857143,1] relative_absolute_error 0.309467 relative_absolute_error 0.338864 relative_absolute_error 0.328797 relative_absolute_error 0.309613 relative_absolute_error 0.278281 relative_absolute_error 0.286743 relative_absolute_error 0.304957 relative_absolute_error 0.351853 relative_absolute_error 0.328865 relative_absolute_error 0.255785 relative_absolute_error 0.289798 relative_absolute_error 0.298122 relative_absolute_error 0.296101 relative_absolute_error 0.325977 relative_absolute_error 0.373035 relative_absolute_error 0.2995 relative_absolute_error 0.348592 relative_absolute_error 0.319678 relative_absolute_error 0.289553 relative_absolute_error 0.34753 relative_absolute_error 0.238574 relative_absolute_error 0.263343 relative_absolute_error 0.29995 relative_absolute_error 0.342844 relative_absolute_error 0.275388 relative_absolute_error 0.366027 relative_absolute_error 0.27332 relative_absolute_error 0.303159 relative_absolute_error 0.300753 relative_absolute_error 0.321086 relative_absolute_error 0.281381 relative_absolute_error 0.370038 relative_absolute_error 0.329283 relative_absolute_error 0.327246 relative_absolute_error 0.286831 relative_absolute_error 0.314195 relative_absolute_error 0.368944 relative_absolute_error 0.310263 relative_absolute_error 0.287747 relative_absolute_error 0.329839 relative_absolute_error 0.3701 relative_absolute_error 0.297142 relative_absolute_error 0.352638 relative_absolute_error 0.253501 relative_absolute_error 0.342885 relative_absolute_error 0.207153 relative_absolute_error 0.305546 relative_absolute_error 0.334148 relative_absolute_error 0.321711 relative_absolute_error 0.30846 relative_absolute_error 0.404165 relative_absolute_error 0.240758 relative_absolute_error 0.308294 relative_absolute_error 0.382281 relative_absolute_error 0.328325 relative_absolute_error 0.309641 relative_absolute_error 0.266932 relative_absolute_error 0.348585 relative_absolute_error 0.308356 relative_absolute_error 0.341317 relative_absolute_error 0.307575 relative_absolute_error 0.347774 relative_absolute_error 0.326841 relative_absolute_error 0.325035 relative_absolute_error 0.245267 relative_absolute_error 0.407179 relative_absolute_error 0.295669 relative_absolute_error 0.290978 relative_absolute_error 0.284956 relative_absolute_error 0.325836 relative_absolute_error 0.29537 relative_absolute_error 0.297782 relative_absolute_error 0.322495 relative_absolute_error 0.351001 relative_absolute_error 0.317546 relative_absolute_error 0.359221 relative_absolute_error 0.331352 relative_absolute_error 0.298267 relative_absolute_error 0.340742 relative_absolute_error 0.331626 relative_absolute_error 0.313514 relative_absolute_error 0.330172 relative_absolute_error 0.230211 relative_absolute_error 0.231205 relative_absolute_error 0.293217 relative_absolute_error 0.276415 relative_absolute_error 0.288283 relative_absolute_error 0.247288 relative_absolute_error 0.28316 relative_absolute_error 0.296527 relative_absolute_error 0.367304 relative_absolute_error 0.352388 relative_absolute_error 0.349419 relative_absolute_error 0.308367 relative_absolute_error 0.386848 relative_absolute_error 0.290742 relative_absolute_error 0.286324 relative_absolute_error 0.277346 relative_absolute_error 0.356173 relative_absolute_error 0.264048 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.251735 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.251735 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.251735 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.251735 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.251998 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.251735 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.251735 root_mean_prior_squared_error 0.256762 root_mean_squared_error 0.129119 root_mean_squared_error 0.126881 root_mean_squared_error 0.135152 root_mean_squared_error 0.130476 root_mean_squared_error 0.113005 root_mean_squared_error 0.107279 root_mean_squared_error 0.133461 root_mean_squared_error 0.137463 root_mean_squared_error 0.129727 root_mean_squared_error 0.102601 root_mean_squared_error 0.133435 root_mean_squared_error 0.124597 root_mean_squared_error 0.123833 root_mean_squared_error 0.129896 root_mean_squared_error 0.157994 root_mean_squared_error 0.125401 root_mean_squared_error 0.133522 root_mean_squared_error 0.124662 root_mean_squared_error 0.121426 root_mean_squared_error 0.135335 root_mean_squared_error 0.09926 root_mean_squared_error 0.112554 root_mean_squared_error 0.124867 root_mean_squared_error 0.130923 root_mean_squared_error 0.109935 root_mean_squared_error 0.145933 root_mean_squared_error 0.112933 root_mean_squared_error 0.129465 root_mean_squared_error 0.129285 root_mean_squared_error 0.131754 root_mean_squared_error 0.120759 root_mean_squared_error 0.14671 root_mean_squared_error 0.133923 root_mean_squared_error 0.126903 root_mean_squared_error 0.121725 root_mean_squared_error 0.126237 root_mean_squared_error 0.14471 root_mean_squared_error 0.134247 root_mean_squared_error 0.121213 root_mean_squared_error 0.134224 root_mean_squared_error 0.141669 root_mean_squared_error 0.125492 root_mean_squared_error 0.133501 root_mean_squared_error 0.114235 root_mean_squared_error 0.138658 root_mean_squared_error 0.079938 root_mean_squared_error 0.129585 root_mean_squared_error 0.134923 root_mean_squared_error 0.129211 root_mean_squared_error 0.125201 root_mean_squared_error 0.155888 root_mean_squared_error 0.092396 root_mean_squared_error 0.118067 root_mean_squared_error 0.153368 root_mean_squared_error 0.141243 root_mean_squared_error 0.133606 root_mean_squared_error 0.10541 root_mean_squared_error 0.137842 root_mean_squared_error 0.12297 root_mean_squared_error 0.15967 root_mean_squared_error 0.116269 root_mean_squared_error 0.142552 root_mean_squared_error 0.130844 root_mean_squared_error 0.128379 root_mean_squared_error 0.109524 root_mean_squared_error 0.156288 root_mean_squared_error 0.126679 root_mean_squared_error 0.112621 root_mean_squared_error 0.121211 root_mean_squared_error 0.132426 root_mean_squared_error 0.122732 root_mean_squared_error 0.120849 root_mean_squared_error 0.14209 root_mean_squared_error 0.135892 root_mean_squared_error 0.123604 root_mean_squared_error 0.152496 root_mean_squared_error 0.12878 root_mean_squared_error 0.126345 root_mean_squared_error 0.125608 root_mean_squared_error 0.135958 root_mean_squared_error 0.120418 root_mean_squared_error 0.132168 root_mean_squared_error 0.089303 root_mean_squared_error 0.102938 root_mean_squared_error 0.112491 root_mean_squared_error 0.110386 root_mean_squared_error 0.123067 root_mean_squared_error 0.106176 root_mean_squared_error 0.127104 root_mean_squared_error 0.114729 root_mean_squared_error 0.148503 root_mean_squared_error 0.138866 root_mean_squared_error 0.150011 root_mean_squared_error 0.132257 root_mean_squared_error 0.146695 root_mean_squared_error 0.118334 root_mean_squared_error 0.107259 root_mean_squared_error 0.112874 root_mean_squared_error 0.142726 root_mean_squared_error 0.111352 root_relative_squared_error 0.503694 root_relative_squared_error 0.494961 root_relative_squared_error 0.527755 root_relative_squared_error 0.509496 root_relative_squared_error 0.441272 root_relative_squared_error 0.418914 root_relative_squared_error 0.52115 root_relative_squared_error 0.536779 root_relative_squared_error 0.506065 root_relative_squared_error 0.400244 root_relative_squared_error 0.52105 root_relative_squared_error 0.477425 root_relative_squared_error 0.483556 root_relative_squared_error 0.507231 root_relative_squared_error 0.61695 root_relative_squared_error 0.489677 root_relative_squared_error 0.520867 root_relative_squared_error 0.486793 root_relative_squared_error 0.465273 root_relative_squared_error 0.528467 root_relative_squared_error 0.3876 root_relative_squared_error 0.43128 root_relative_squared_error 0.487591 root_relative_squared_error 0.51124 root_relative_squared_error 0.429284 root_relative_squared_error 0.569851 root_relative_squared_error 0.432728 root_relative_squared_error 0.505546 root_relative_squared_error 0.495385 root_relative_squared_error 0.514483 root_relative_squared_error 0.471549 root_relative_squared_error 0.562154 root_relative_squared_error 0.522433 root_relative_squared_error 0.495047 root_relative_squared_error 0.466418 root_relative_squared_error 0.49245 root_relative_squared_error 0.554491 root_relative_squared_error 0.523699 root_relative_squared_error 0.464455 root_relative_squared_error 0.524131 root_relative_squared_error 0.542838 root_relative_squared_error 0.480854 root_relative_squared_error 0.511542 root_relative_squared_error 0.437718 root_relative_squared_error 0.531301 root_relative_squared_error 0.3063 root_relative_squared_error 0.496538 root_relative_squared_error 0.51699 root_relative_squared_error 0.495105 root_relative_squared_error 0.479736 root_relative_squared_error 0.597323 root_relative_squared_error 0.354036 root_relative_squared_error 0.452403 root_relative_squared_error 0.587667 root_relative_squared_error 0.541205 root_relative_squared_error 0.511942 root_relative_squared_error 0.403905 root_relative_squared_error 0.528173 root_relative_squared_error 0.471191 root_relative_squared_error 0.611815 root_relative_squared_error 0.445513 root_relative_squared_error 0.546221 root_relative_squared_error 0.501362 root_relative_squared_error 0.491914 root_relative_squared_error 0.419668 root_relative_squared_error 0.598854 root_relative_squared_error 0.485402 root_relative_squared_error 0.431536 root_relative_squared_error 0.464448 root_relative_squared_error 0.507424 root_relative_squared_error 0.470278 root_relative_squared_error 0.471901 root_relative_squared_error 0.544454 root_relative_squared_error 0.520705 root_relative_squared_error 0.473618 root_relative_squared_error 0.584327 root_relative_squared_error 0.493453 root_relative_squared_error 0.48412 root_relative_squared_error 0.490484 root_relative_squared_error 0.520957 root_relative_squared_error 0.468989 root_relative_squared_error 0.52503 root_relative_squared_error 0.347805 root_relative_squared_error 0.400908 root_relative_squared_error 0.438113 root_relative_squared_error 0.429916 root_relative_squared_error 0.488875 root_relative_squared_error 0.413519 root_relative_squared_error 0.504912 root_relative_squared_error 0.446832 root_relative_squared_error 0.578368 root_relative_squared_error 0.551638 root_relative_squared_error 0.584241 root_relative_squared_error 0.515096 root_relative_squared_error 0.582128 root_relative_squared_error 0.46087 root_relative_squared_error 0.426081 root_relative_squared_error 0.439604 root_relative_squared_error 0.566971 root_relative_squared_error 0.433679 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 1260 usercpu_time_millis 1140 usercpu_time_millis 1160 usercpu_time_millis 1170 usercpu_time_millis 1200 usercpu_time_millis 1180 usercpu_time_millis 1170 usercpu_time_millis 1160 usercpu_time_millis 1190 usercpu_time_millis 1170 usercpu_time_millis 1440 usercpu_time_millis 1170 usercpu_time_millis 1170 usercpu_time_millis 1350 usercpu_time_millis 1190 usercpu_time_millis 1170 usercpu_time_millis 1160 usercpu_time_millis 1180 usercpu_time_millis 1180 usercpu_time_millis 1140 usercpu_time_millis 1170 usercpu_time_millis 1180 usercpu_time_millis 1160 usercpu_time_millis 1640 usercpu_time_millis 1170 usercpu_time_millis 1190 usercpu_time_millis 1180 usercpu_time_millis 1200 usercpu_time_millis 1170 usercpu_time_millis 1180 usercpu_time_millis 1140 usercpu_time_millis 1170 usercpu_time_millis 1180 usercpu_time_millis 1220 usercpu_time_millis 1190 usercpu_time_millis 1160 usercpu_time_millis 1190 usercpu_time_millis 1190 usercpu_time_millis 1190 usercpu_time_millis 1160 usercpu_time_millis 1140 usercpu_time_millis 1180 usercpu_time_millis 1170 usercpu_time_millis 1200 usercpu_time_millis 1160 usercpu_time_millis 1180 usercpu_time_millis 1180 usercpu_time_millis 1160 usercpu_time_millis 1160 usercpu_time_millis 1170 usercpu_time_millis 1140 usercpu_time_millis 1170 usercpu_time_millis 1190 usercpu_time_millis 1120 usercpu_time_millis 1160 usercpu_time_millis 1190 usercpu_time_millis 1190 usercpu_time_millis 1140 usercpu_time_millis 1180 usercpu_time_millis 1160 usercpu_time_millis 1150 usercpu_time_millis 1170 usercpu_time_millis 1170 usercpu_time_millis 1180 usercpu_time_millis 1190 usercpu_time_millis 1170 usercpu_time_millis 1160 usercpu_time_millis 1150 usercpu_time_millis 1180 usercpu_time_millis 1150 usercpu_time_millis 1160 usercpu_time_millis 1190 usercpu_time_millis 1170 usercpu_time_millis 1180 usercpu_time_millis 1170 usercpu_time_millis 1180 usercpu_time_millis 1140 usercpu_time_millis 1180 usercpu_time_millis 1160 usercpu_time_millis 1150 usercpu_time_millis 1190 usercpu_time_millis 1190 usercpu_time_millis 1370 usercpu_time_millis 1190 usercpu_time_millis 1190 usercpu_time_millis 1180 usercpu_time_millis 1370 usercpu_time_millis 1180 usercpu_time_millis 1190 usercpu_time_millis 1180 usercpu_time_millis 1160 usercpu_time_millis 1180 usercpu_time_millis 1180 usercpu_time_millis 1190 usercpu_time_millis 1170 usercpu_time_millis 1170 usercpu_time_millis 1180 usercpu_time_millis 1160 usercpu_time_millis 1160 usercpu_time_millis 1170 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 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