Task
Supervised Classification on nursery

Supervised Classification on nursery

Task 26 Supervised Classification nursery 1271 runs submitted
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  • at2 basic study_1 study_107 study_41 study_7 study_70 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 1364.6279, usercpu_time_millis: 730, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9627, kappa: 0.9464, kb_relative_information_score: 12081.691, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9624, predictive_accuracy: 0.9635, prior_entropy: 1.7176, recall: 0.9635, relative_absolute_error: 0.0857, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.2696, scimark_benchmark: 1333.4205, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 4068.7589, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.7819, scimark_benchmark: 1275.6877, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7023, kappa: 0.5701, kb_relative_information_score: 7526.8842, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.6952, predictive_accuracy: 0.7097, prior_entropy: 1.7176, recall: 0.7097, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.9223, scimark_benchmark: 1472.748, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.1667, kb_relative_information_score: 0.279, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3695, root_relative_squared_error: 1, scimark_benchmark: 1347.5123, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8934, kappa: 0.8553, kb_relative_information_score: 10138.9871, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9047, predictive_accuracy: 0.9023, prior_entropy: 1.7176, recall: 0.9023, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.4798, scimark_benchmark: 1333.7158, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 1330.0902, usercpu_time_millis: 870, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 1233.0484, usercpu_time_millis: 720, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 1352.8663, usercpu_time_millis: 850, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 1503.5208, usercpu_time_millis: 780, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 1322.409, usercpu_time_millis: 770, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 1294.0958, usercpu_time_millis: 840, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 1480.0447, usercpu_time_millis: 670, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 1380.418, usercpu_time_millis: 880, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 1322.0636, usercpu_time_millis: 900, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 1245.9451, usercpu_time_millis: 820, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 1378.3419, usercpu_time_millis: 840, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 1435.5449, usercpu_time_millis: 870, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 1400.4874, usercpu_time_millis: 820, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 1329.2465, usercpu_time_millis: 640, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 1319.5574, usercpu_time_millis: 830, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 1323.4579, usercpu_time_millis: 730, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 1432.1595, usercpu_time_millis: 990, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 1353.5258, usercpu_time_millis: 820, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 1267.6903, usercpu_time_millis: 660, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 1593.762, usercpu_time_millis: 730, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9783, kappa: 0.9694, kb_relative_information_score: 12264.4759, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9787, predictive_accuracy: 0.9792, prior_entropy: 1.7176, recall: 0.9792, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.2262, scimark_benchmark: 1493.8211, usercpu_time_millis: 217010, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 216410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.5374, kappa: 0.4607, kb_relative_information_score: -414.2576, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4919, predictive_accuracy: 0.6244, prior_entropy: 1.7176, recall: 0.6244, relative_absolute_error: 1.0906, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3773, root_relative_squared_error: 1.0213, scimark_benchmark: 1609.6035, usercpu_time_millis: 100, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9736, kappa: 0.9621, kb_relative_information_score: 12271.0668, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9735, predictive_accuracy: 0.9742, prior_entropy: 1.7176, recall: 0.9742, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.2405, scimark_benchmark: 1483.2447, usercpu_time_millis: 260, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9716, kappa: 0.9595, kb_relative_information_score: 12193.0074, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9715, predictive_accuracy: 0.9725, prior_entropy: 1.7176, recall: 0.9725, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.2455, scimark_benchmark: 1613.686, usercpu_time_millis: 270, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.9915, kb_relative_information_score: 12821.7643, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9943, predictive_accuracy: 0.9942, prior_entropy: 1.7176, recall: 0.9942, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0424, root_relative_squared_error: 0.1149, scimark_benchmark: 1494.5226, usercpu_time_millis: 340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9943, kappa: 0.9917, kb_relative_information_score: 12839.1346, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9943, predictive_accuracy: 0.9944, prior_entropy: 1.7176, recall: 0.9944, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.118, scimark_benchmark: 1637.0176, usercpu_time_millis: 550, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 4068.7589, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.7819, scimark_benchmark: 1594.9366, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9065, kappa: 0.8786, kb_relative_information_score: 10335.1352, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8956, predictive_accuracy: 0.9181, prior_entropy: 1.7176, recall: 0.9181, relative_absolute_error: 0.2371, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.4499, scimark_benchmark: 1356.4956, usercpu_time_millis: 2940, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9683, kappa: 0.9549, kb_relative_information_score: 12432.6672, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9689, predictive_accuracy: 0.9693, prior_entropy: 1.7176, recall: 0.9693, relative_absolute_error: 0.0452, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.2235, scimark_benchmark: 1592.2381, usercpu_time_millis: 216250, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 215950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 6929.4639, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.7234, scimark_benchmark: 1405.3105, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 1613.0795, usercpu_time_millis: 670, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.2409, kappa: 0.136, kb_relative_information_score: 750.5331, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.2916, predictive_accuracy: 0.2716, prior_entropy: 1.7176, recall: 0.2716, relative_absolute_error: 1.0671, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.5398, root_relative_squared_error: 1.461, scimark_benchmark: 1457.5659, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9543, kappa: 0.9333, kb_relative_information_score: 12113.1203, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9574, predictive_accuracy: 0.9543, prior_entropy: 1.7176, recall: 0.9543, relative_absolute_error: 0.0669, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.3659, scimark_benchmark: 1406.1757, usercpu_time_millis: 800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.5374, kappa: 0.4607, kb_relative_information_score: -450.7467, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4919, predictive_accuracy: 0.6244, prior_entropy: 1.7176, recall: 0.6244, relative_absolute_error: 1.0941, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3779, root_relative_squared_error: 1.0229, scimark_benchmark: 1620.5495, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10151.8021, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3961, scimark_benchmark: 1675.9002, usercpu_time_millis: 12750, usercpu_time_millis_testing: 12750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10151.8021, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3961, scimark_benchmark: 1400.6348, usercpu_time_millis: 12630, usercpu_time_millis_testing: 12630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7591, kappa: 0.6526, kb_relative_information_score: 8571.0982, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.7889, predictive_accuracy: 0.765, prior_entropy: 1.7176, recall: 0.765, relative_absolute_error: 0.3442, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.8297, scimark_benchmark: 1581.4691, usercpu_time_millis: 14630, usercpu_time_millis_testing: 14630,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SPegasos: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SPegasos: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9612, kappa: 0.9443, kb_relative_information_score: 12168.9411, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9607, predictive_accuracy: 0.962, prior_entropy: 1.7176, recall: 0.962, relative_absolute_error: 0.0685, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.2811, scimark_benchmark: 1657.6995, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9364, kappa: 0.9065, kb_relative_information_score: 11832.5164, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.937, predictive_accuracy: 0.9361, prior_entropy: 1.7176, recall: 0.9361, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.378, scimark_benchmark: 1394.4966, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9364, kappa: 0.9065, kb_relative_information_score: 11832.5164, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.937, predictive_accuracy: 0.9361, prior_entropy: 1.7176, recall: 0.9361, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.378, scimark_benchmark: 1512.2819, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.1667, kb_relative_information_score: 0.279, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3695, root_relative_squared_error: 1, scimark_benchmark: 1549.4759, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9598, kappa: 0.942, kb_relative_information_score: 12147.2096, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9593, predictive_accuracy: 0.9605, prior_entropy: 1.7176, recall: 0.9605, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.105, root_relative_squared_error: 0.2843, scimark_benchmark: 1556.6475, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.971, kappa: 0.9579, kb_relative_information_score: 12313.3995, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.2581, scimark_benchmark: 1468.2201, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9918, kappa: 0.9881, kb_relative_information_score: 12013.256, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9917, predictive_accuracy: 0.9919, prior_entropy: 1.7176, recall: 0.9919, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.231, scimark_benchmark: 1455.0577, usercpu_time_millis: 1090, usercpu_time_millis_testing: 720, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9917, kappa: 0.9877, kb_relative_information_score: 12785.4891, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 1.7176, recall: 0.9916, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.1466, scimark_benchmark: 1592.8125, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8945, kappa: 0.8568, kb_relative_information_score: 10152.5369, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9058, predictive_accuracy: 0.9033, prior_entropy: 1.7176, recall: 0.9033, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.4782, scimark_benchmark: 1648.5139, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.8806, kappa: 0.8403, kb_relative_information_score: 10304.4409, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8718, predictive_accuracy: 0.8921, prior_entropy: 1.7176, recall: 0.8921, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.4948, scimark_benchmark: 1376.6371, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9919, kappa: 0.9882, kb_relative_information_score: 12012.938, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9918, predictive_accuracy: 0.992, prior_entropy: 1.7176, recall: 0.992, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.2311, scimark_benchmark: 1601.3514, usercpu_time_millis: 1110, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9656, kappa: 0.9499, kb_relative_information_score: 12045.7028, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9661, predictive_accuracy: 0.9658, prior_entropy: 1.7176, recall: 0.9658, relative_absolute_error: 0.0673, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.284, scimark_benchmark: 1621.1632, usercpu_time_millis: 23300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 23280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8945, kappa: 0.8568, kb_relative_information_score: 10152.5369, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9058, predictive_accuracy: 0.9033, prior_entropy: 1.7176, recall: 0.9033, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.4782, scimark_benchmark: 1442.4367, usercpu_time_millis: 110, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9901, kappa: 0.9854, kb_relative_information_score: 12715.9857, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 1.7176, recall: 0.99, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0629, root_relative_squared_error: 0.1702, scimark_benchmark: 1619.8754, usercpu_time_millis: 19420, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 19380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9902, kappa: 0.9859, kb_relative_information_score: 12006.1661, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9901, predictive_accuracy: 0.9904, prior_entropy: 1.7176, recall: 0.9904, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.2337, scimark_benchmark: 1586.9361, usercpu_time_millis: 950, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9364, kappa: 0.9065, kb_relative_information_score: 11832.5164, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.937, predictive_accuracy: 0.9361, prior_entropy: 1.7176, recall: 0.9361, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.378, scimark_benchmark: 1481.4048, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9598, kappa: 0.942, kb_relative_information_score: 12147.2096, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9593, predictive_accuracy: 0.9605, prior_entropy: 1.7176, recall: 0.9605, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.105, root_relative_squared_error: 0.2843, scimark_benchmark: 1483.2367, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.971, kappa: 0.958, kb_relative_information_score: 12314.9388, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9709, predictive_accuracy: 0.9714, prior_entropy: 1.7176, recall: 0.9714, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.2574, scimark_benchmark: 1691.2635, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7023, kappa: 0.5701, kb_relative_information_score: 7526.8842, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.6952, predictive_accuracy: 0.7097, prior_entropy: 1.7176, recall: 0.7097, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.9223, scimark_benchmark: 1746.206, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.1667, kb_relative_information_score: 0.279, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3695, root_relative_squared_error: 1, scimark_benchmark: 1594.7449, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9894, kappa: 0.9846, kb_relative_information_score: 12751.017, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9895, predictive_accuracy: 0.9895, prior_entropy: 1.7176, recall: 0.9895, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.1754, usercpu_time_millis: 6076.455, usercpu_time_millis_testing: 540.472, usercpu_time_millis_training: 5535.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9668, kappa: 0.9547, kb_relative_information_score: 12101.1642, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9696, predictive_accuracy: 0.9693, prior_entropy: 1.7176, recall: 0.9693, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.3, usercpu_time_millis: 97.912, usercpu_time_millis_testing: 3.734, usercpu_time_millis_training: 94.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8615, kappa: 0.8115, kb_relative_information_score: 10234.9681, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8529, predictive_accuracy: 0.8727, prior_entropy: 1.7176, recall: 0.8727, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.6108, usercpu_time_millis: 0.72, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.999, kappa: 0.9986, kb_relative_information_score: 12925.2014, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9989, predictive_accuracy: 0.9991, prior_entropy: 1.7176, recall: 0.9991, relative_absolute_error: 0.0014, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0192, root_relative_squared_error: 0.0521, usercpu_time_millis: 478.765, usercpu_time_millis_testing: 101.835, usercpu_time_millis_training: 376.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9809, kappa: 0.973, kb_relative_information_score: 12450.025, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9816, predictive_accuracy: 0.9816, prior_entropy: 1.7176, recall: 0.9816, relative_absolute_error: 0.0269, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.232, usercpu_time_millis: 40.712, usercpu_time_millis_testing: 2.331, usercpu_time_millis_training: 38.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9796, kappa: 0.9711, kb_relative_information_score: 12432.1099, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9803, predictive_accuracy: 0.9803, prior_entropy: 1.7176, recall: 0.9803, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.2401, usercpu_time_millis: 45.181, usercpu_time_millis_testing: 0.833, usercpu_time_millis_training: 44.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9917, kappa: 0.9877, kb_relative_information_score: 12787.8607, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 1.7176, recall: 0.9916, relative_absolute_error: 0.0123, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.058, root_relative_squared_error: 0.157, usercpu_time_millis: 4.256, usercpu_time_millis_testing: 0.744, usercpu_time_millis_training: 3.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7023, kappa: 0.5701, kb_relative_information_score: 7526.8842, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.6952, predictive_accuracy: 0.7097, prior_entropy: 1.7176, recall: 0.7097, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.9223, usercpu_time_millis: 1.319, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 0.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.954, kappa: 0.933, kb_relative_information_score: 12063.463, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9544, predictive_accuracy: 0.9542, prior_entropy: 1.7176, recall: 0.9542, relative_absolute_error: 0.067, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.3662, usercpu_time_millis: 24.572, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 24.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8947, kappa: 0.8568, kb_relative_information_score: 10773.7977, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.905, predictive_accuracy: 0.9033, prior_entropy: 1.7176, recall: 0.9033, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.5323, usercpu_time_millis: 3.981, usercpu_time_millis_testing: 3.505, usercpu_time_millis_training: 0.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.9247, kappa: 0.8898, kb_relative_information_score: 11542.094, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9247, predictive_accuracy: 0.9248, prior_entropy: 1.7176, recall: 0.9248, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.4693, usercpu_time_millis: 19.407, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 19.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9696, kappa: 0.9558, kb_relative_information_score: 12241.5017, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9699, predictive_accuracy: 0.9698, prior_entropy: 1.7176, recall: 0.9698, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.2973, usercpu_time_millis: 190.436, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 189.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9926, kappa: 0.9893, kb_relative_information_score: 12779.5113, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9926, predictive_accuracy: 0.9927, prior_entropy: 1.7176, recall: 0.9927, relative_absolute_error: 0.0107, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0541, root_relative_squared_error: 0.1466, usercpu_time_millis: 49.143, usercpu_time_millis_testing: 6.719, usercpu_time_millis_training: 42.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7225, kappa: 0.5937, kb_relative_information_score: 7923.6307, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.7242, predictive_accuracy: 0.7235, prior_entropy: 1.7176, recall: 0.7235, relative_absolute_error: 0.4051, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.9002, usercpu_time_millis: 8.965, usercpu_time_millis_testing: 8.93, usercpu_time_millis_training: 0.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 12378.1706, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.2235, usercpu_time_millis: 94.883, usercpu_time_millis_testing: 11.794, usercpu_time_millis_training: 83.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.971, kappa: 0.9579, kb_relative_information_score: 12305.1136, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.29, usercpu_time_millis: 2.104, usercpu_time_millis_testing: 0.662, usercpu_time_millis_training: 1.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 6691.9326, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9945, usercpu_time_millis: 27.512, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 27.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 12952.0476, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 1, predictive_accuracy: 1, prior_entropy: 1.7176, recall: 1, root_mean_prior_squared_error: 0.3695, usercpu_time_millis: 322.209, usercpu_time_millis_testing: 8.749, usercpu_time_millis_training: 313.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.98, kappa: 0.9709, kb_relative_information_score: 12587.6632, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9802, predictive_accuracy: 0.9801, prior_entropy: 1.7176, recall: 0.9801, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.2415, usercpu_time_millis: 14.695, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 14.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9608, kappa: 0.9431, kb_relative_information_score: 12152.3591, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9609, predictive_accuracy: 0.9612, prior_entropy: 1.7176, recall: 0.9612, relative_absolute_error: 0.0569, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.3372, usercpu_time_millis: 127.794, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 127.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9937, kappa: 0.9913, kb_relative_information_score: 12870.8568, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9939, predictive_accuracy: 0.9941, prior_entropy: 1.7176, recall: 0.9941, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0277, root_relative_squared_error: 0.0751, scimark_benchmark: 477.2144, usercpu_time_millis: 200600, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 200350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10151.8021, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3961, scimark_benchmark: 473.1656, usercpu_time_millis: 56430, usercpu_time_millis_testing: 56420, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9248, kappa: 0.8899, kb_relative_information_score: 11338.4924, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9248, predictive_accuracy: 0.9249, prior_entropy: 1.7176, recall: 0.9249, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.3936, scimark_benchmark: 1254.1389, usercpu_time_millis: 4810, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.971, kappa: 0.9579, kb_relative_information_score: 12313.3995, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.2581, scimark_benchmark: 473.1656, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9419, kappa: 0.9177, kb_relative_information_score: 11565.5472, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9449, predictive_accuracy: 0.9441, prior_entropy: 1.7176, recall: 0.9441, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.3417, scimark_benchmark: 473.1656, usercpu_time_millis: 280, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 6929.1896, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.7234, scimark_benchmark: 479.2609, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8945, kappa: 0.8568, kb_relative_information_score: 10152.5369, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9058, predictive_accuracy: 0.9033, prior_entropy: 1.7176, recall: 0.9033, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.4782, scimark_benchmark: 1230.3004, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8945, kappa: 0.8568, kb_relative_information_score: 10152.5369, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9058, predictive_accuracy: 0.9033, prior_entropy: 1.7176, recall: 0.9033, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.4782, scimark_benchmark: 1230.3004, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8945, kappa: 0.8567, kb_relative_information_score: 10162.0631, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9058, predictive_accuracy: 0.9032, prior_entropy: 1.7176, recall: 0.9032, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.478, scimark_benchmark: 1230.3004, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.1667, kb_relative_information_score: 0.279, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3695, root_relative_squared_error: 1, scimark_benchmark: 1241.5236, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.1667, kb_relative_information_score: 0.279, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3695, root_relative_squared_error: 1, scimark_benchmark: 1248.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.971, kappa: 0.9579, kb_relative_information_score: 12313.3995, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.2581, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9065, kappa: 0.8786, kb_relative_information_score: 10335.1352, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8956, predictive_accuracy: 0.9181, prior_entropy: 1.7176, recall: 0.9181, relative_absolute_error: 0.2371, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.4499, scimark_benchmark: 851.2074, usercpu_time_millis: 3830, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3810,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs