Task
Supervised Classification on monks-problems-3

Supervised Classification on monks-problems-3

Task 146066 Supervised Classification monks-problems-3 32406 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

32406 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9331, kappa: 0.866, kb_relative_information_score: 268.1022, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9338, predictive_accuracy: 0.9332, prior_entropy: 0.9989, recall: 0.9332, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.638, scimark_benchmark: 1214.7328, usercpu_time_millis: 0.441, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 0.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8053, kappa: 0.6109, kb_relative_information_score: 232.6843, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.812, predictive_accuracy: 0.8069, prior_entropy: 0.9989, recall: 0.8069, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.743, scimark_benchmark: 1067.5377, usercpu_time_millis: 0.452, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 0.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9295, kappa: 0.8587, kb_relative_information_score: 270.4774, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9304, predictive_accuracy: 0.9296, prior_entropy: 0.9989, recall: 0.9296, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6354, scimark_benchmark: 1509.2976, usercpu_time_millis: 0.46, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 0.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.807, kappa: 0.6144, kb_relative_information_score: 223.8061, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8148, predictive_accuracy: 0.8087, prior_entropy: 0.9989, recall: 0.8087, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.384, root_relative_squared_error: 0.7686, scimark_benchmark: 1095.1414, usercpu_time_millis: 0.321, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 0.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.3556, kb_relative_information_score: -0.041, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1858.6405, usercpu_time_millis: 0.581, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 489.6899, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.3107, scimark_benchmark: 1857.8037, usercpu_time_millis: 1.453, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 1.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 287.3806, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.5835, scimark_benchmark: 1846.4401, usercpu_time_millis: 1.955, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 1.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.3556, kb_relative_information_score: -0.0072, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 2151.8216, usercpu_time_millis: 0.837, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 0.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 529.1951, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0504, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.2277, scimark_benchmark: 1729.9202, usercpu_time_millis: 0.429, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 0.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 526.4483, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0582, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.2213, scimark_benchmark: 1759.6632, usercpu_time_millis: 1.464, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 1.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9657, kappa: 0.9314, kb_relative_information_score: 290.3083, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9662, predictive_accuracy: 0.9657, prior_entropy: 0.9989, recall: 0.9657, relative_absolute_error: 0.5537, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.5789, scimark_benchmark: 1852.5429, usercpu_time_millis: 0.8, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 392.4199, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.3471, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.4601, scimark_benchmark: 2151.6159, usercpu_time_millis: 1.416, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 1.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9819, kappa: 0.9638, kb_relative_information_score: 464.0403, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9819, predictive_accuracy: 0.9819, prior_entropy: 0.9989, recall: 0.9819, relative_absolute_error: 0.1994, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.151, root_relative_squared_error: 0.3022, scimark_benchmark: 1851.9148, usercpu_time_millis: 3.878, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 3.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 484.6977, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1476, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.2953, scimark_benchmark: 1861.8971, usercpu_time_millis: 0.355, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 199.4689, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7239, scimark_benchmark: 1854.637, usercpu_time_millis: 0.951, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 0.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 493.5472, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3335, scimark_benchmark: 1857.3304, usercpu_time_millis: 1.443, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 1.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 490.9756, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3326, scimark_benchmark: 1851.5723, usercpu_time_millis: 1.951, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 1.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 521.3039, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0702, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.2226, scimark_benchmark: 1847.4649, usercpu_time_millis: 0.373, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 283.9856, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.5635, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.5952, scimark_benchmark: 1858.3969, usercpu_time_millis: 0.291, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 300.4885, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.5687, scimark_benchmark: 1856.2273, usercpu_time_millis: 0.906, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 464.2883, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3494, scimark_benchmark: 1860.2646, usercpu_time_millis: 0.165, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 463.3632, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3702, scimark_benchmark: 1857.1406, usercpu_time_millis: 1.804, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 1.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 530.0227, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.11, root_relative_squared_error: 0.2202, scimark_benchmark: 1730.8713, usercpu_time_millis: 3.357, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 2.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 340.7105, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.4506, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5281, scimark_benchmark: 1859.9421, usercpu_time_millis: 0.217, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 528.0046, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.2316, scimark_benchmark: 1091.517, usercpu_time_millis: 2.025, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 1.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 452.3254, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2193, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.3809, scimark_benchmark: 1743.1489, usercpu_time_millis: 0.358, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 0.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 526.4102, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9989, recall: 0.9856, relative_absolute_error: 0.0545, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.2415, scimark_benchmark: 1861.4992, usercpu_time_millis: 1.765, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 1.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9585, kappa: 0.9169, kb_relative_information_score: 89.527, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9588, predictive_accuracy: 0.9585, prior_entropy: 0.9989, recall: 0.9585, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8825, scimark_benchmark: 1737.792, usercpu_time_millis: 0.653, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9874, kappa: 0.9747, kb_relative_information_score: 505.3068, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9874, predictive_accuracy: 0.9874, prior_entropy: 0.9989, recall: 0.9874, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.132, root_relative_squared_error: 0.2642, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.597, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 0.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 385.7409, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.4328, scimark_benchmark: 1859.4255, usercpu_time_millis: 1.741, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 1.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.3556, kb_relative_information_score: -0.0059, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1855.2567, usercpu_time_millis: 0.152, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 483.6775, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3276, scimark_benchmark: 1859.9421, usercpu_time_millis: 1.303, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 1.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 514.1832, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0861, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.2378, scimark_benchmark: 1861.4992, usercpu_time_millis: 1.051, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9874, kappa: 0.9747, kb_relative_information_score: 500.4454, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9874, predictive_accuracy: 0.9874, prior_entropy: 0.9989, recall: 0.9874, relative_absolute_error: 0.1155, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.2625, scimark_benchmark: 1860.4015, usercpu_time_millis: 0.241, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 525.772, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0595, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.2192, scimark_benchmark: 1733.4863, usercpu_time_millis: 0.658, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 0.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 476.9654, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.1726, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.2799, scimark_benchmark: 1852.0263, usercpu_time_millis: 4.144, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 3.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 501.0014, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2561, scimark_benchmark: 1857.3304, usercpu_time_millis: 0.736, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.8039, kappa: 0.6125, kb_relative_information_score: 229.5355, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8321, predictive_accuracy: 0.8087, prior_entropy: 0.9989, recall: 0.8087, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7688, scimark_benchmark: 1741.8607, usercpu_time_millis: 1.224, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 500.864, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.1153, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.129, root_relative_squared_error: 0.2581, scimark_benchmark: 1867.1999, usercpu_time_millis: 1.147, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 0.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 493.981, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.3309, scimark_benchmark: 1848.5525, usercpu_time_millis: 0.358, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 286.7726, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2918, root_relative_squared_error: 0.5841, scimark_benchmark: 1182.1998, usercpu_time_millis: 1.938, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 1.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 528.0888, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.2325, scimark_benchmark: 1860.6576, usercpu_time_millis: 1.035, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.944, kappa: 0.8879, kb_relative_information_score: 313.1798, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.944, predictive_accuracy: 0.944, prior_entropy: 0.9989, recall: 0.944, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.5902, scimark_benchmark: 1838.7663, usercpu_time_millis: 1.504, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 1.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 487.5253, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1377, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.315, scimark_benchmark: 1860.4615, usercpu_time_millis: 0.731, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 0.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 498.5434, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.3131, scimark_benchmark: 1861.8971, usercpu_time_millis: 1.86, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 1.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9747, kappa: 0.9494, kb_relative_information_score: 500.4411, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9748, predictive_accuracy: 0.9747, prior_entropy: 0.9989, recall: 0.9747, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.2832, scimark_benchmark: 1862.0186, usercpu_time_millis: 2.664, usercpu_time_millis_testing: 0.493, usercpu_time_millis_training: 2.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9729, kappa: 0.9458, kb_relative_information_score: 506.3532, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9731, predictive_accuracy: 0.9729, prior_entropy: 0.9989, recall: 0.9729, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.14, root_relative_squared_error: 0.2802, scimark_benchmark: 1855.4176, usercpu_time_millis: 0.513, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 527.6798, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.216, scimark_benchmark: 1745.3654, usercpu_time_millis: 0.516, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 531.0814, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0476, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.2114, scimark_benchmark: 1747.2984, usercpu_time_millis: 1.237, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 1.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8425, kappa: 0.6865, kb_relative_information_score: 225.6808, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8584, predictive_accuracy: 0.8448, prior_entropy: 0.9989, recall: 0.8448, relative_absolute_error: 0.6533, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7022, scimark_benchmark: 1872.8797, usercpu_time_millis: 0.98, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9621, kappa: 0.9241, kb_relative_information_score: 232.2963, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9624, predictive_accuracy: 0.9621, prior_entropy: 0.9989, recall: 0.9621, relative_absolute_error: 0.6524, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6771, scimark_benchmark: 1871.9601, usercpu_time_millis: 0.276, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 0.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 452.1509, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.381, scimark_benchmark: 1833.4989, usercpu_time_millis: 1.385, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 1.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9874, kappa: 0.9747, kb_relative_information_score: 527.2243, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9874, predictive_accuracy: 0.9874, prior_entropy: 0.9989, recall: 0.9874, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.2363, scimark_benchmark: 1866.1679, usercpu_time_millis: 0.508, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 506.9244, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.2598, scimark_benchmark: 1863.4543, usercpu_time_millis: 1.672, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 1.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.3556, kb_relative_information_score: -0.0197, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1753.245, usercpu_time_millis: 0.255, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3556, kb_relative_information_score: -0.0189, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1748.66, usercpu_time_millis: 0.567, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 134.4133, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.8137, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8194, scimark_benchmark: 1873.0711, usercpu_time_millis: 0.89, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 0.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 449.057, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.3665, scimark_benchmark: 1752.9026, usercpu_time_millis: 1, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 436.9972, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.348, scimark_benchmark: 1753.6457, usercpu_time_millis: 1.974, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 1.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 284.7301, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.5639, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.5879, scimark_benchmark: 1775.3011, usercpu_time_millis: 2.114, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 1.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, f_measure: 0.3556, kb_relative_information_score: -0.0187, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1713.8222, usercpu_time_millis: 1.291, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 1.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 521.7833, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.2234, scimark_benchmark: 1873.0711, usercpu_time_millis: 1.486, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 1.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9657, kappa: 0.9314, kb_relative_information_score: 290.409, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9662, predictive_accuracy: 0.9657, prior_entropy: 0.9989, recall: 0.9657, relative_absolute_error: 0.5537, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.5783, scimark_benchmark: 1857.0822, usercpu_time_millis: 2.226, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 1.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 225.4985, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.6836, scimark_benchmark: 1847.4649, usercpu_time_millis: 2.201, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 1.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 522.7282, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0673, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.112, root_relative_squared_error: 0.2242, scimark_benchmark: 1873.4078, usercpu_time_millis: 2.919, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 2.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 287.8141, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.5828, scimark_benchmark: 1871.5019, usercpu_time_millis: 2.686, usercpu_time_millis_testing: 0.469, usercpu_time_millis_training: 2.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 508.9025, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.133, root_relative_squared_error: 0.2662, scimark_benchmark: 1871.4349, usercpu_time_millis: 0.844, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 0.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 235.5673, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.6696, scimark_benchmark: 1867.5973, usercpu_time_millis: 1.051, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 233.1857, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6716, scimark_benchmark: 1753.8118, usercpu_time_millis: 0.468, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 463.3325, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9802, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.201, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.3025, scimark_benchmark: 1863.4543, usercpu_time_millis: 1.983, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 1.631,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 487.8312, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1357, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.3301, scimark_benchmark: 1745.3654, usercpu_time_millis: 1.33, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 1.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 494.7436, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3185, scimark_benchmark: 1869.7524, usercpu_time_millis: 0.214, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 288.6204, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.5812, scimark_benchmark: 1745.3654, usercpu_time_millis: 1.4, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 1.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 283.4772, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.5658, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.5909, scimark_benchmark: 1743.9469, usercpu_time_millis: 2.41, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 1.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 473.496, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.286, scimark_benchmark: 1864.9656, usercpu_time_millis: 2.833, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 2.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9313, kappa: 0.8624, kb_relative_information_score: 255.7924, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9321, predictive_accuracy: 0.9314, prior_entropy: 0.9989, recall: 0.9314, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6543, scimark_benchmark: 1732.0564, usercpu_time_millis: 0.283, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 0.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8877, kappa: 0.775, kb_relative_information_score: 262.7258, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8907, predictive_accuracy: 0.8881, prior_entropy: 0.9989, recall: 0.8881, relative_absolute_error: 0.5748, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.6733, scimark_benchmark: 1750.5058, usercpu_time_millis: 0.234, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9113, kappa: 0.8223, kb_relative_information_score: 273.3287, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9137, predictive_accuracy: 0.9116, prior_entropy: 0.9989, recall: 0.9116, relative_absolute_error: 0.5605, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6471, scimark_benchmark: 1507.6836, usercpu_time_millis: 0.276, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9313, kappa: 0.8624, kb_relative_information_score: 255.7924, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9321, predictive_accuracy: 0.9314, prior_entropy: 0.9989, recall: 0.9314, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6543, scimark_benchmark: 1847.8582, usercpu_time_millis: 0.272, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 0.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9331, kappa: 0.866, kb_relative_information_score: 261.5383, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9338, predictive_accuracy: 0.9332, prior_entropy: 0.9989, recall: 0.9332, relative_absolute_error: 0.5912, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6463, scimark_benchmark: 1758.0751, usercpu_time_millis: 0.239, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.924, kappa: 0.8477, kb_relative_information_score: 278.6888, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9258, predictive_accuracy: 0.9242, prior_entropy: 0.9989, recall: 0.9242, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6294, scimark_benchmark: 1097.2561, usercpu_time_millis: 0.399, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 0.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9113, kappa: 0.8223, kb_relative_information_score: 273.3287, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9137, predictive_accuracy: 0.9116, prior_entropy: 0.9989, recall: 0.9116, relative_absolute_error: 0.5605, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6471, scimark_benchmark: 1256.7826, usercpu_time_millis: 0.373, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 0.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.904, kappa: 0.8077, kb_relative_information_score: 269.3075, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9068, predictive_accuracy: 0.9043, prior_entropy: 0.9989, recall: 0.9043, relative_absolute_error: 0.5658, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6577, scimark_benchmark: 1849.8294, usercpu_time_millis: 0.29, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 0.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 374.0504, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4634, scimark_benchmark: 1280.6101, usercpu_time_millis: 8.477, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 8.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9603, kappa: 0.9205, kb_relative_information_score: 127.0309, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9607, predictive_accuracy: 0.9603, prior_entropy: 0.9989, recall: 0.9603, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8307, scimark_benchmark: 1284.3439, usercpu_time_millis: 28.338, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 28.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 241.4954, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.6366, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.6652, scimark_benchmark: 1272.2356, usercpu_time_millis: 5.347, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 5.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 348.2942, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.5062, scimark_benchmark: 1282.4317, usercpu_time_millis: 39.287, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 39.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9585, kappa: 0.9169, kb_relative_information_score: 117.5023, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9588, predictive_accuracy: 0.9585, prior_entropy: 0.9989, recall: 0.9585, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8441, scimark_benchmark: 1261.0193, usercpu_time_millis: 26.739, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 26.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9838, kappa: 0.9675, kb_relative_information_score: 508.5963, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.9989, recall: 0.9838, relative_absolute_error: 0.0952, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.269, scimark_benchmark: 1278.4257, usercpu_time_millis: 15.183, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 15.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.3556, kb_relative_information_score: -0.0133, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1253.5198, usercpu_time_millis: 10.886, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 10.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 452.095, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2185, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.359, scimark_benchmark: 1262.9491, usercpu_time_millis: 13.708, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 13.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.6021, kappa: 0.2634, kb_relative_information_score: 18.2761, mean_absolute_error: 0.4873, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7047, predictive_accuracy: 0.6408, prior_entropy: 0.9989, recall: 0.6408, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.9781, scimark_benchmark: 1283.9859, usercpu_time_millis: 23.671, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 23.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9783, kappa: 0.9566, kb_relative_information_score: 504.9801, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9784, predictive_accuracy: 0.9783, prior_entropy: 0.9989, recall: 0.9783, relative_absolute_error: 0.1024, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.2773, scimark_benchmark: 1283.8574, usercpu_time_millis: 31.107, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 31.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.3556, kb_relative_information_score: -0.0231, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1256.703, usercpu_time_millis: 2.081, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 2.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9241, kappa: 0.8479, kb_relative_information_score: 116.1833, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9249, predictive_accuracy: 0.9242, prior_entropy: 0.9989, recall: 0.9242, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.8464, scimark_benchmark: 1281.8025, usercpu_time_millis: 16.585, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 16.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9783, kappa: 0.9566, kb_relative_information_score: 504.3529, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9784, predictive_accuracy: 0.9783, prior_entropy: 0.9989, recall: 0.9783, relative_absolute_error: 0.1039, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.2777, scimark_benchmark: 1254.093, usercpu_time_millis: 22.402, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 22.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9693, kappa: 0.9386, kb_relative_information_score: 494.3461, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9696, predictive_accuracy: 0.9693, prior_entropy: 0.9989, recall: 0.9693, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.2952, scimark_benchmark: 1270.5632, usercpu_time_millis: 11.671, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 11.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 406.515, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.4161, scimark_benchmark: 1289.9416, usercpu_time_millis: 4.858, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 4.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 155.4391, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.7797, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7909, scimark_benchmark: 1268.5446, usercpu_time_millis: 24.519, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 24.508,

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

OpenML bootcamp

From your own software

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

OpenML APIs