168502 2 Joaquin Vanschoren 202 Supervised Classification predictive_accuracy 598 weka.MultiBoostAB_NaiveBayes(2) 973 weka.classifiers.meta.MultiBoostAB -- -C 3 -P 100 -S 1 -I 10 -W weka.classifiers.bayes.NaiveBayes C 3 598 P 100 598 S 1 598 I 10 598 W weka.classifiers.bayes.NaiveBayes 598 weka weka_3.7.12-SNAPSHOT 133 BNG(glass,nominal,137781) https://www.openml.org/data/download/2163/BayesianNetworkGenerator_glass.arff -1 553060 description https://api.openml.org/data/download/553060/weka_generated_run1455421168838048008.xml -1 553063 model_readable https://api.openml.org/data/download/553063/WekaModel_weka.classifiers.meta.MultiBoostAB8019608597499826571.model -1 553062 model_serialized https://api.openml.org/data/download/553062/WekaSerialized_weka.classifiers.meta.MultiBoostAB5733574398517169753.model -1 553061 predictions https://api.openml.org/data/download/553061/weka_generated_predictions1380456915117937823.arff area_under_roc_curve 0.769117 [0.803762,0.746043,0.547658,0.718306,0.802317,0.697348,0.887352] average_cost 0 f_measure 0.623243 [0.712956,0.637968,0.132403,0.361409,0.559979,0.29726,0.802128] kappa 0.507194 kb_relative_information_score 53839.719261 mean_absolute_error 0.153802 mean_prior_absolute_error 0.211549 number_of_instances 137781 [44945,48277,11158,307,8570,6003,18521] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.630941 [0.648667,0.655014,0.430261,0.34104,0.507539,0.287089,0.819431] predictive_accuracy 0.641083 prior_entropy 2.206067 recall 0.641083 [0.791389,0.621787,0.07824,0.384365,0.624504,0.308179,0.785541] relative_absolute_error 0.727025 root_mean_prior_squared_error 0.325229 root_mean_squared_error 0.283972 root_relative_squared_error 0.873144 scimark_benchmark 923.764223 [553.5514526595406, 1011.5249537742577, 478.92139815906154, 889.2266081090786, 1685.5967028574782] total_cost 0 usercpu_time_millis 11480 usercpu_time_millis_testing 3780 usercpu_time_millis_training 7700 area_under_roc_curve 0.768499 [0.801109,0.746917,0.542831,0.762112,0.804472,0.689629,0.890559] area_under_roc_curve 0.768036 [0.807034,0.745883,0.539683,0.757852,0.804448,0.693877,0.87611] area_under_roc_curve 0.769699 [0.807149,0.745125,0.548066,0.710311,0.799777,0.700114,0.886031] area_under_roc_curve 0.76945 [0.803508,0.748052,0.544519,0.726393,0.785778,0.687158,0.897947] area_under_roc_curve 0.773286 [0.807311,0.753847,0.549448,0.786947,0.790529,0.712054,0.887771] area_under_roc_curve 0.770075 [0.801843,0.748121,0.551251,0.717733,0.801318,0.702301,0.890323] area_under_roc_curve 0.766905 [0.79971,0.740733,0.554888,0.769634,0.809612,0.694686,0.886878] area_under_roc_curve 0.772704 [0.804593,0.751763,0.549886,0.727126,0.81755,0.701783,0.887168] area_under_roc_curve 0.766891 [0.805966,0.73812,0.549316,0.680499,0.800019,0.691893,0.888595] area_under_roc_curve 0.772463 [0.805624,0.753016,0.552765,0.631348,0.793734,0.702447,0.890285] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.622489 [0.709483,0.636373,0.15258,0.358209,0.560287,0.281713,0.801874] f_measure 0.623529 [0.717185,0.641742,0.130998,0.40678,0.561039,0.286865,0.787222] f_measure 0.622803 [0.717202,0.636537,0.123494,0.318841,0.555957,0.311005,0.795806] f_measure 0.62257 [0.712736,0.640392,0.117827,0.369231,0.546785,0.28749,0.809341] f_measure 0.62726 [0.714758,0.643198,0.145318,0.405063,0.556465,0.307325,0.803625] f_measure 0.623846 [0.709632,0.638343,0.137405,0.42623,0.562825,0.292407,0.809629] f_measure 0.622089 [0.709044,0.634028,0.137358,0.405405,0.571429,0.294309,0.805324] f_measure 0.627583 [0.713883,0.641417,0.133232,0.294118,0.577617,0.330393,0.804979] f_measure 0.616942 [0.713462,0.624639,0.136608,0.3,0.550679,0.273839,0.799233] f_measure 0.623138 [0.712208,0.642918,0.108563,0.313725,0.556439,0.306464,0.804158] kappa 0.50529 kappa 0.507696 kappa 0.50689 kappa 0.506916 kappa 0.511449 kappa 0.507848 kappa 0.50469 kappa 0.513212 kappa 0.49955 kappa 0.508392 kb_relative_information_score 5355.705879 kb_relative_information_score 5359.508034 kb_relative_information_score 5355.836069 kb_relative_information_score 5338.515552 kb_relative_information_score 5396.406102 kb_relative_information_score 5401.735745 kb_relative_information_score 5421.283563 kb_relative_information_score 5464.942814 kb_relative_information_score 5338.053731 kb_relative_information_score 5407.731773 mean_absolute_error 0.154541 mean_absolute_error 0.154111 mean_absolute_error 0.154388 mean_absolute_error 0.154443 mean_absolute_error 0.15376 mean_absolute_error 0.153583 mean_absolute_error 0.153009 mean_absolute_error 0.152919 mean_absolute_error 0.154145 mean_absolute_error 0.153118 mean_prior_absolute_error 0.211553 mean_prior_absolute_error 0.21155 mean_prior_absolute_error 0.21155 mean_prior_absolute_error 0.21155 mean_prior_absolute_error 0.211545 mean_prior_absolute_error 0.211545 mean_prior_absolute_error 0.21155 mean_prior_absolute_error 0.21155 mean_prior_absolute_error 0.21155 mean_prior_absolute_error 0.21155 number_of_instances 13779 [4494,4828,1116,31,857,600,1853] number_of_instances 13778 [4495,4827,1116,30,857,601,1852] number_of_instances 13778 [4495,4827,1116,30,857,601,1852] number_of_instances 13778 [4495,4827,1116,30,857,601,1852] number_of_instances 13778 [4495,4828,1115,31,857,600,1852] number_of_instances 13778 [4495,4828,1115,31,857,600,1852] number_of_instances 13778 [4494,4828,1116,31,857,600,1852] number_of_instances 13778 [4494,4828,1116,31,857,600,1852] number_of_instances 13778 [4494,4828,1116,31,857,600,1852] number_of_instances 13778 [4494,4828,1116,31,857,600,1852] precision 0.631563 [0.646134,0.65441,0.461538,0.333333,0.5,0.278502,0.819257] precision 0.631953 [0.651235,0.658457,0.436548,0.413793,0.505618,0.278125,0.810641] precision 0.62771 [0.657159,0.650725,0.386792,0.282051,0.498152,0.298622,0.81377] precision 0.629564 [0.649698,0.659066,0.403141,0.342857,0.495265,0.269679,0.823826] precision 0.634687 [0.650201,0.658918,0.440909,0.333333,0.522541,0.294207,0.817775] precision 0.634214 [0.642496,0.65859,0.461538,0.433333,0.507016,0.283699,0.830306] precision 0.629764 [0.645255,0.647656,0.435407,0.348837,0.522749,0.287302,0.827822] precision 0.63525 [0.651487,0.65746,0.429268,0.27027,0.51756,0.318393,0.825298] precision 0.627746 [0.64486,0.64629,0.475936,0.310345,0.498581,0.267943,0.811006] precision 0.62715 [0.648402,0.658558,0.369792,0.4,0.509709,0.294028,0.814856] predictive_accuracy 0.639451 predictive_accuracy 0.641675 predictive_accuracy 0.640441 predictive_accuracy 0.640441 predictive_accuracy 0.644433 predictive_accuracy 0.641675 predictive_accuracy 0.639643 predictive_accuracy 0.645232 predictive_accuracy 0.635651 predictive_accuracy 0.642183 prior_entropy 2.206067 prior_entropy 2.206067 prior_entropy 2.206067 prior_entropy 2.206067 prior_entropy 2.206067 prior_entropy 2.206067 prior_entropy 2.206067 prior_entropy 2.206067 prior_entropy 2.206067 prior_entropy 2.206067 recall 0.639451 [0.786604,0.619304,0.091398,0.387097,0.637106,0.285,0.785213] recall 0.641675 [0.797998,0.625855,0.077061,0.4,0.630105,0.296173,0.765119] recall 0.640441 [0.789321,0.622954,0.073477,0.366667,0.628938,0.324459,0.778618] recall 0.640441 [0.789321,0.622747,0.068996,0.4,0.610268,0.30782,0.795356] recall 0.644433 [0.793548,0.62821,0.086996,0.516129,0.595099,0.321667,0.789957] recall 0.641675 [0.792436,0.619304,0.080717,0.419355,0.632439,0.301667,0.789957] recall 0.639643 [0.786827,0.620961,0.081541,0.483871,0.630105,0.301667,0.784017] recall 0.645232 [0.789497,0.626139,0.078853,0.322581,0.653442,0.343333,0.785637] recall 0.635651 [0.798398,0.604391,0.079749,0.290323,0.614936,0.28,0.787797] recall 0.642183 [0.789942,0.628003,0.06362,0.258065,0.612602,0.32,0.793737] relative_absolute_error 0.730509 relative_absolute_error 0.728483 relative_absolute_error 0.729795 relative_absolute_error 0.730055 relative_absolute_error 0.726842 relative_absolute_error 0.726007 relative_absolute_error 0.723273 relative_absolute_error 0.722851 relative_absolute_error 0.728644 relative_absolute_error 0.723792 root_mean_prior_squared_error 0.325234 root_mean_prior_squared_error 0.32523 root_mean_prior_squared_error 0.32523 root_mean_prior_squared_error 0.32523 root_mean_prior_squared_error 0.325222 root_mean_prior_squared_error 0.325222 root_mean_prior_squared_error 0.32523 root_mean_prior_squared_error 0.32523 root_mean_prior_squared_error 0.32523 root_mean_prior_squared_error 0.32523 root_mean_squared_error 0.284545 root_mean_squared_error 0.283822 root_mean_squared_error 0.284132 root_mean_squared_error 0.28424 root_mean_squared_error 0.282907 root_mean_squared_error 0.283806 root_mean_squared_error 0.28456 root_mean_squared_error 0.282492 root_mean_squared_error 0.285725 root_mean_squared_error 0.283475 root_relative_squared_error 0.874891 root_relative_squared_error 0.872681 root_relative_squared_error 0.873636 root_relative_squared_error 0.873966 root_relative_squared_error 0.869886 root_relative_squared_error 0.872653 root_relative_squared_error 0.87495 root_relative_squared_error 0.86859 root_relative_squared_error 0.878532 root_relative_squared_error 0.871615 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 7260 usercpu_time_millis 7300 usercpu_time_millis 7320 usercpu_time_millis 7290 usercpu_time_millis 7260 usercpu_time_millis 7350 usercpu_time_millis 7330 usercpu_time_millis 7400 usercpu_time_millis 7380 usercpu_time_millis 7380 usercpu_time_millis_testing 380 usercpu_time_millis_testing 380 usercpu_time_millis_testing 380 usercpu_time_millis_testing 380 usercpu_time_millis_testing 380 usercpu_time_millis_testing 380 usercpu_time_millis_testing 380 usercpu_time_millis_testing 380 usercpu_time_millis_testing 380 usercpu_time_millis_testing 370 usercpu_time_millis_training 6880 usercpu_time_millis_training 6920 usercpu_time_millis_training 6940 usercpu_time_millis_training 6910 usercpu_time_millis_training 6880 usercpu_time_millis_training 6970 usercpu_time_millis_training 6950 usercpu_time_millis_training 7020 usercpu_time_millis_training 7000 usercpu_time_millis_training 7010