394273 2 Joaquin Vanschoren 1776 Supervised Classification predictive_accuracy 1165 weka.A1DE(4) 1918 weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0 F 1 1165 M 1.0 1165 weka weka_3.7.12 12 mfeat-factors https://www.openml.org/data/download/12/dataset_12_mfeat-factors.arff -1 1378046 description https://api.openml.org/data/download/1378046/weka_generated_run8971029773120778133.xml -1 1378049 model_readable https://api.openml.org/data/download/1378049/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE1430646157402178234.model -1 1378048 model_serialized https://api.openml.org/data/download/1378048/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE306507834970425749.model -1 1378047 predictions https://api.openml.org/data/download/1378047/weka_generated_predictions8811450734550531785.arff area_under_roc_curve 0.986718 [0.985668,0.989243,0.987827,0.979271,0.996755,0.977996,0.988354,0.992193,0.984538,0.985332] average_cost 0 f_measure 0.962089 [0.975439,0.961596,0.976861,0.942414,0.977667,0.946193,0.973434,0.9615,0.958835,0.946951] kappa 0.957889 kb_relative_information_score 9609.237331 mean_absolute_error 0.007631 mean_prior_absolute_error 0.18 number_of_instances 10000 [1000,1000,1000,1000,1000,1000,1000,1000,1000,1000] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.962192 [0.977889,0.959204,0.982794,0.943831,0.970443,0.960825,0.975879,0.949318,0.962702,0.939036] predictive_accuracy 0.9621 prior_entropy 3.321928 recall 0.9621 [0.973,0.964,0.971,0.941,0.985,0.932,0.971,0.974,0.955,0.955] relative_absolute_error 0.042397 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.08561 root_relative_squared_error 0.285366 scimark_benchmark 922.503645 [531.2947438481441, 1009.6699252256896, 480.6364546036713, 901.1481856960322, 1689.768918062378] total_cost 0 usercpu_time_millis 7090 usercpu_time_millis_testing 6090 usercpu_time_millis_training 1000 area_under_roc_curve 0.989045 [0.988789,0.993094,0.9944,0.988278,0.994411,0.979767,0.989322,0.994956,0.978756,0.988678] area_under_roc_curve 0.990021 [0.989922,0.989228,0.984372,0.98295,0.999933,0.969,0.999417,0.998217,0.9987,0.988467] area_under_roc_curve 0.985651 [0.989378,0.988844,0.994967,0.962956,0.9982,0.987422,0.989878,0.973578,0.984311,0.986972] area_under_roc_curve 0.986127 [0.963461,0.989828,0.988261,0.9837,0.994411,0.992944,0.989922,0.993244,0.981133,0.984361] area_under_roc_curve 0.989012 [0.989911,0.978767,0.989383,0.988489,0.994867,0.979533,0.9933,0.994806,0.988678,0.992383] area_under_roc_curve 0.989004 [0.984356,0.99425,0.979322,0.984661,0.994983,0.984067,0.989411,0.998033,0.993006,0.987956] area_under_roc_curve 0.983621 [0.988822,0.9781,0.984378,0.978744,0.998889,0.989228,0.989372,0.974689,0.974322,0.979661] area_under_roc_curve 0.98453 [0.983233,0.998556,0.989406,0.958644,0.999328,0.967378,0.9894,0.998294,0.978044,0.983017] area_under_roc_curve 0.987381 [0.994411,0.988161,0.984422,0.986828,0.999967,0.953617,0.98935,0.999344,0.984806,0.992906] area_under_roc_curve 0.982878 [0.984361,0.993583,0.989383,0.977344,0.992689,0.977267,0.964344,0.997039,0.9837,0.969067] 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 0.964971 [0.98,0.96,0.985075,0.926108,0.980198,0.953368,0.965517,0.980198,0.964467,0.954774] f_measure 0.968972 [0.989899,0.959596,0.974619,0.950495,0.990099,0.947917,0.995025,0.952381,0.980198,0.949495] f_measure 0.960016 [0.98,0.974874,0.99,0.919192,0.965174,0.950495,0.964824,0.944724,0.969697,0.941176] f_measure 0.963982 [0.944162,0.959596,0.970297,0.97,0.984925,0.960396,0.984925,0.965517,0.93,0.97] f_measure 0.960112 [0.984925,0.954774,0.969697,0.940594,0.974619,0.944162,0.965854,0.969697,0.959596,0.937198] f_measure 0.966037 [0.979798,0.965854,0.964103,0.954315,0.994975,0.944724,0.984925,0.955665,0.965517,0.950495] f_measure 0.959094 [0.975124,0.955224,0.97,0.954774,0.966184,0.964467,0.969388,0.94898,0.964467,0.92233] f_measure 0.960854 [0.965174,0.965517,0.984925,0.938144,0.98,0.93401,0.975124,0.970588,0.939394,0.955665] f_measure 0.959787 [0.980198,0.96,0.979798,0.935961,0.985222,0.914894,0.974619,0.975369,0.955224,0.936585] f_measure 0.957039 [0.974874,0.960396,0.979798,0.934673,0.956098,0.945813,0.953846,0.951923,0.959596,0.953368] kappa 0.961111 kappa 0.965556 kappa 0.955556 kappa 0.96 kappa 0.955556 kappa 0.962222 kappa 0.954444 kappa 0.956667 kappa 0.955556 kappa 0.952222 kb_relative_information_score 964.195519 kb_relative_information_score 967.575736 kb_relative_information_score 958.739705 kb_relative_information_score 963.477923 kb_relative_information_score 959.864708 kb_relative_information_score 963.643441 kb_relative_information_score 957.525187 kb_relative_information_score 960.020236 kb_relative_information_score 958.825248 kb_relative_information_score 955.369628 mean_absolute_error 0.006949 mean_absolute_error 0.006428 mean_absolute_error 0.007958 mean_absolute_error 0.007248 mean_absolute_error 0.007909 mean_absolute_error 0.007083 mean_absolute_error 0.008244 mean_absolute_error 0.007818 mean_absolute_error 0.008074 mean_absolute_error 0.008604 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 number_of_instances 1000 [100,100,100,100,100,100,100,100,100,100] number_of_instances 1000 [100,100,100,100,100,100,100,100,100,100] number_of_instances 1000 [100,100,100,100,100,100,100,100,100,100] number_of_instances 1000 [100,100,100,100,100,100,100,100,100,100] number_of_instances 1000 [100,100,100,100,100,100,100,100,100,100] number_of_instances 1000 [100,100,100,100,100,100,100,100,100,100] number_of_instances 1000 [100,100,100,100,100,100,100,100,100,100] number_of_instances 1000 [100,100,100,100,100,100,100,100,100,100] number_of_instances 1000 [100,100,100,100,100,100,100,100,100,100] number_of_instances 1000 [100,100,100,100,100,100,100,100,100,100] precision 0.965368 [0.98,0.96,0.980198,0.912621,0.970588,0.989247,0.951456,0.970588,0.979381,0.959596] precision 0.969874 [1,0.969388,0.989691,0.941176,0.980392,0.98913,0.990099,0.909091,0.970588,0.959184] precision 0.96018 [0.98,0.979798,0.99,0.928571,0.960396,0.941176,0.969697,0.949495,0.979592,0.923077] precision 0.964117 [0.958763,0.969388,0.960784,0.97,0.989899,0.95098,0.989899,0.951456,0.93,0.97] precision 0.960729 [0.989899,0.959596,0.979592,0.931373,0.989691,0.958763,0.942857,0.979592,0.969388,0.906542] precision 0.966497 [0.989796,0.942857,0.989474,0.969072,1,0.949495,0.989899,0.941748,0.951456,0.941176] precision 0.959829 [0.970297,0.950495,0.97,0.959596,0.934579,0.979381,0.989583,0.96875,0.979381,0.896226] precision 0.961124 [0.960396,0.951456,0.989899,0.968085,0.98,0.948454,0.970297,0.951923,0.94898,0.941748] precision 0.96065 [0.970588,0.96,0.989796,0.92233,0.970874,0.977273,0.989691,0.961165,0.950495,0.914286] precision 0.957959 [0.979798,0.95098,0.989796,0.939394,0.933333,0.932039,0.978947,0.916667,0.969388,0.989247] predictive_accuracy 0.965 predictive_accuracy 0.969 predictive_accuracy 0.96 predictive_accuracy 0.964 predictive_accuracy 0.96 predictive_accuracy 0.966 predictive_accuracy 0.959 predictive_accuracy 0.961 predictive_accuracy 0.96 predictive_accuracy 0.957 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 recall 0.965 [0.98,0.96,0.99,0.94,0.99,0.92,0.98,0.99,0.95,0.95] recall 0.969 [0.98,0.95,0.96,0.96,1,0.91,1,1,0.99,0.94] recall 0.96 [0.98,0.97,0.99,0.91,0.97,0.96,0.96,0.94,0.96,0.96] recall 0.964 [0.93,0.95,0.98,0.97,0.98,0.97,0.98,0.98,0.93,0.97] recall 0.96 [0.98,0.95,0.96,0.95,0.96,0.93,0.99,0.96,0.95,0.97] recall 0.966 [0.97,0.99,0.94,0.94,0.99,0.94,0.98,0.97,0.98,0.96] recall 0.959 [0.98,0.96,0.97,0.95,1,0.95,0.95,0.93,0.95,0.95] recall 0.961 [0.97,0.98,0.98,0.91,0.98,0.92,0.98,0.99,0.93,0.97] recall 0.96 [0.99,0.96,0.97,0.95,1,0.86,0.96,0.99,0.96,0.96] recall 0.957 [0.97,0.97,0.97,0.93,0.98,0.96,0.93,0.99,0.95,0.92] relative_absolute_error 0.038604 relative_absolute_error 0.035713 relative_absolute_error 0.044209 relative_absolute_error 0.040265 relative_absolute_error 0.043937 relative_absolute_error 0.039352 relative_absolute_error 0.045799 relative_absolute_error 0.043435 relative_absolute_error 0.044855 relative_absolute_error 0.047801 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.081389 root_mean_squared_error 0.077765 root_mean_squared_error 0.088308 root_mean_squared_error 0.08279 root_mean_squared_error 0.086858 root_mean_squared_error 0.082385 root_mean_squared_error 0.08943 root_mean_squared_error 0.086829 root_mean_squared_error 0.087531 root_mean_squared_error 0.091848 root_relative_squared_error 0.271298 root_relative_squared_error 0.259216 root_relative_squared_error 0.294361 root_relative_squared_error 0.275966 root_relative_squared_error 0.289527 root_relative_squared_error 0.274618 root_relative_squared_error 0.2981 root_relative_squared_error 0.28943 root_relative_squared_error 0.291769 root_relative_squared_error 0.306161 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 2860 usercpu_time_millis 3160 usercpu_time_millis 3380 usercpu_time_millis 3650 usercpu_time_millis 2860 usercpu_time_millis 3420 usercpu_time_millis 3290 usercpu_time_millis 3270 usercpu_time_millis 2970 usercpu_time_millis 3470 usercpu_time_millis_testing 2410 usercpu_time_millis_testing 2700 usercpu_time_millis_testing 2850 usercpu_time_millis_testing 3140 usercpu_time_millis_testing 2420 usercpu_time_millis_testing 2940 usercpu_time_millis_testing 2850 usercpu_time_millis_testing 2790 usercpu_time_millis_testing 2530 usercpu_time_millis_testing 3000 usercpu_time_millis_training 450 usercpu_time_millis_training 460 usercpu_time_millis_training 530 usercpu_time_millis_training 510 usercpu_time_millis_training 440 usercpu_time_millis_training 480 usercpu_time_millis_training 440 usercpu_time_millis_training 480 usercpu_time_millis_training 440 usercpu_time_millis_training 470