Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

32334 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: 0.9768, f_measure: 0.9182, kappa: 0.7945, kb_relative_information_score: 24589.0174, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9227, predictive_accuracy: 0.9209, prior_entropy: 0.863, recall: 0.9209, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.516, scimark_benchmark: 1722.5417, usercpu_time_millis: 128.662, usercpu_time_millis_testing: 0.814, usercpu_time_millis_training: 127.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9203, kappa: 0.7999, kb_relative_information_score: 23866.5227, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9241, predictive_accuracy: 0.9227, prior_entropy: 0.863, recall: 0.9227, relative_absolute_error: 0.3294, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.232, root_relative_squared_error: 0.5136, scimark_benchmark: 1734.7312, usercpu_time_millis: 997.011, usercpu_time_millis_testing: 13.497, usercpu_time_millis_training: 983.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9484, kappa: 0.8735, kb_relative_information_score: 27491.4327, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9484, predictive_accuracy: 0.9485, prior_entropy: 0.863, recall: 0.9485, relative_absolute_error: 0.21, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4375, scimark_benchmark: 1720.8342, usercpu_time_millis: 8236.043, usercpu_time_millis_testing: 19.968, usercpu_time_millis_training: 8216.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9328, kappa: 0.8337, kb_relative_information_score: 25877.4277, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9329, predictive_accuracy: 0.9335, prior_entropy: 0.863, recall: 0.9335, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4889, scimark_benchmark: 1770.2281, usercpu_time_millis: 1765.503, usercpu_time_millis_testing: 4.483, usercpu_time_millis_training: 1761.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9378, kappa: 0.8463, kb_relative_information_score: 25837.5323, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.938, predictive_accuracy: 0.9385, prior_entropy: 0.863, recall: 0.9385, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4752, scimark_benchmark: 1750.3791, usercpu_time_millis: 993.968, usercpu_time_millis_testing: 8.081, usercpu_time_millis_training: 985.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9589, kappa: 0.8993, kb_relative_information_score: 28515.5918, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3959, scimark_benchmark: 1763.4166, usercpu_time_millis: 69.383, usercpu_time_millis_testing: 0.642, usercpu_time_millis_training: 68.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -4.3083, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1731.2927, usercpu_time_millis: 17.762, usercpu_time_millis_testing: 2.315, usercpu_time_millis_training: 15.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9429, kappa: 0.8595, kb_relative_information_score: 26498.7822, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9429, predictive_accuracy: 0.9432, prior_entropy: 0.863, recall: 0.9432, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4646, scimark_benchmark: 1757.2978, usercpu_time_millis: 3439.386, usercpu_time_millis_testing: 12.757, usercpu_time_millis_training: 3426.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9157, kappa: 0.788, kb_relative_information_score: 23799.5388, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9202, predictive_accuracy: 0.9185, prior_entropy: 0.863, recall: 0.9185, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.5274, scimark_benchmark: 1717.9445, usercpu_time_millis: 2297.496, usercpu_time_millis_testing: 14.601, usercpu_time_millis_training: 2282.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9172, kappa: 0.7918, kb_relative_information_score: 24533.1243, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9218, predictive_accuracy: 0.9199, prior_entropy: 0.863, recall: 0.9199, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.234, root_relative_squared_error: 0.5179, scimark_benchmark: 1959.2827, usercpu_time_millis: 878.728, usercpu_time_millis_testing: 3.937, usercpu_time_millis_training: 874.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9625, kappa: 0.9081, kb_relative_information_score: 29005.4428, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.378, scimark_benchmark: 1733.299, usercpu_time_millis: 596.752, usercpu_time_millis_testing: 2.916, usercpu_time_millis_training: 593.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9496, kappa: 0.8762, kb_relative_information_score: 26937.7336, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9495, predictive_accuracy: 0.9497, prior_entropy: 0.863, recall: 0.9497, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4394, scimark_benchmark: 1731.5618, usercpu_time_millis: 523.922, usercpu_time_millis_testing: 5.467, usercpu_time_millis_training: 518.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.868, kappa: 0.6771, kb_relative_information_score: 16422.1594, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8682, predictive_accuracy: 0.8678, prior_entropy: 0.863, recall: 0.8678, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6813, scimark_benchmark: 1792.5519, usercpu_time_millis: 271.467, usercpu_time_millis_testing: 8.604, usercpu_time_millis_training: 262.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -12.4881, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1726.9824, usercpu_time_millis: 27.921, usercpu_time_millis_testing: 2.624, usercpu_time_millis_training: 25.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9505, kappa: 0.8786, kb_relative_information_score: 27524.5257, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9505, predictive_accuracy: 0.9506, prior_entropy: 0.863, recall: 0.9506, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.4321, scimark_benchmark: 1737.0059, usercpu_time_millis: 2132.881, usercpu_time_millis_testing: 8.266, usercpu_time_millis_training: 2124.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9451, kappa: 0.8649, kb_relative_information_score: 26575.7061, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9451, predictive_accuracy: 0.9454, prior_entropy: 0.863, recall: 0.9454, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4507, scimark_benchmark: 1730.591, usercpu_time_millis: 887.222, usercpu_time_millis_testing: 12.246, usercpu_time_millis_training: 874.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8695, kappa: 0.6819, kb_relative_information_score: 17615.9617, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8704, predictive_accuracy: 0.8688, prior_entropy: 0.863, recall: 0.8688, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.6688, scimark_benchmark: 1722.4982, usercpu_time_millis: 466.299, usercpu_time_millis_testing: 3.904, usercpu_time_millis_training: 462.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9673, kappa: 0.9198, kb_relative_information_score: 29650.3412, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3554, scimark_benchmark: 1719.9254, usercpu_time_millis: 250.399, usercpu_time_millis_testing: 1.768, usercpu_time_millis_training: 248.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9354, kappa: 0.8405, kb_relative_information_score: 26196.695, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9355, predictive_accuracy: 0.936, prior_entropy: 0.863, recall: 0.936, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.216, root_relative_squared_error: 0.4782, scimark_benchmark: 1729.728, usercpu_time_millis: 200.432, usercpu_time_millis_testing: 0.824, usercpu_time_millis_training: 199.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9482, kappa: 0.8728, kb_relative_information_score: 26961.1445, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.9483, prior_entropy: 0.863, recall: 0.9483, relative_absolute_error: 0.2279, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4431, scimark_benchmark: 1730.1287, usercpu_time_millis: 187.945, usercpu_time_millis_testing: 1.618, usercpu_time_millis_training: 186.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9641, kappa: 0.9117, kb_relative_information_score: 28773.3153, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.169, root_relative_squared_error: 0.3741, scimark_benchmark: 1736.0929, usercpu_time_millis: 175.007, usercpu_time_millis_testing: 3.965, usercpu_time_millis_training: 171.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9478, kappa: 0.8717, kb_relative_information_score: 26839.4779, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9477, predictive_accuracy: 0.9479, prior_entropy: 0.863, recall: 0.9479, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4466, scimark_benchmark: 1733.3606, usercpu_time_millis: 96.178, usercpu_time_millis_testing: 1.463, usercpu_time_millis_training: 94.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.594, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1749.4424, usercpu_time_millis: 78.434, usercpu_time_millis_testing: 7.724, usercpu_time_millis_training: 70.71,
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: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.3568, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1721.8007, usercpu_time_millis: 52.249, usercpu_time_millis_testing: 3.764, usercpu_time_millis_training: 48.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9233, kappa: 0.8079, kb_relative_information_score: 24622.815, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9263, predictive_accuracy: 0.9254, prior_entropy: 0.863, recall: 0.9254, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.5066, scimark_benchmark: 1738.7921, usercpu_time_millis: 28.371, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 27.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9609, kappa: 0.904, kb_relative_information_score: 28773.4983, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3872, scimark_benchmark: 1342.8537, usercpu_time_millis: 6074.676, usercpu_time_millis_testing: 16.376, usercpu_time_millis_training: 6058.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9703, kappa: 0.9271, kb_relative_information_score: 30287.8846, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9703, predictive_accuracy: 0.9703, prior_entropy: 0.863, recall: 0.9703, relative_absolute_error: 0.127, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.34, scimark_benchmark: 1368.4927, usercpu_time_millis: 7536.892, usercpu_time_millis_testing: 21.199, usercpu_time_millis_training: 7515.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9624, kappa: 0.9077, kb_relative_information_score: 28903.9946, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3814, scimark_benchmark: 1338.704, usercpu_time_millis: 4377.459, usercpu_time_millis_testing: 13.827, usercpu_time_millis_training: 4363.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9682, kappa: 0.9219, kb_relative_information_score: 29776.2048, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 0.863, recall: 0.9682, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3513, scimark_benchmark: 1736.0122, usercpu_time_millis: 912.198, usercpu_time_millis_testing: 3.886, usercpu_time_millis_training: 908.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.8777, kappa: 0.6984, kb_relative_information_score: 14965.0475, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8772, predictive_accuracy: 0.8785, prior_entropy: 0.863, recall: 0.8785, relative_absolute_error: 0.5953, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.6877, scimark_benchmark: 1722.6005, usercpu_time_millis: 49.84, usercpu_time_millis_testing: 2.437, usercpu_time_millis_training: 47.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9585, kappa: 0.8982, kb_relative_information_score: 28326.3563, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.4013, scimark_benchmark: 1367.5783, usercpu_time_millis: 2784.829, usercpu_time_millis_testing: 8.534, usercpu_time_millis_training: 2776.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9686, kappa: 0.923, kb_relative_information_score: 29808.0308, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9686, predictive_accuracy: 0.9687, prior_entropy: 0.863, recall: 0.9687, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.157, root_relative_squared_error: 0.3475, scimark_benchmark: 1366.8653, usercpu_time_millis: 3869.385, usercpu_time_millis_testing: 15.962, usercpu_time_millis_training: 3853.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9378, kappa: 0.8461, kb_relative_information_score: 25839.9798, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9382, predictive_accuracy: 0.9386, prior_entropy: 0.863, recall: 0.9386, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4792, scimark_benchmark: 1369.4061, usercpu_time_millis: 501.897, usercpu_time_millis_testing: 2.306, usercpu_time_millis_training: 499.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9677, kappa: 0.9208, kb_relative_information_score: 29720.5801, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.147, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.3478, scimark_benchmark: 1368.9806, usercpu_time_millis: 2161.071, usercpu_time_millis_testing: 17.645, usercpu_time_millis_training: 2143.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9648, kappa: 0.9137, kb_relative_information_score: 29384.4218, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3681, scimark_benchmark: 1368.319, usercpu_time_millis: 6131.368, usercpu_time_millis_testing: 18.258, usercpu_time_millis_training: 6113.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9686, kappa: 0.9229, kb_relative_information_score: 30067.602, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 0.863, recall: 0.9686, relative_absolute_error: 0.134, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3484, scimark_benchmark: 1359.2009, usercpu_time_millis: 13650.878, usercpu_time_millis_testing: 24.875, usercpu_time_millis_training: 13626.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -1.9738, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1367.6587, usercpu_time_millis: 17.977, usercpu_time_millis_testing: 1.613, usercpu_time_millis_training: 16.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9625, kappa: 0.908, kb_relative_information_score: 28794.7668, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3796, scimark_benchmark: 1366.698, usercpu_time_millis: 493.148, usercpu_time_millis_testing: 6.265, usercpu_time_millis_training: 486.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -4.2044, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1364.744, usercpu_time_millis: 73.447, usercpu_time_millis_testing: 9.14, usercpu_time_millis_training: 64.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9366, kappa: 0.8429, kb_relative_information_score: 25702.5967, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9369, predictive_accuracy: 0.9374, prior_entropy: 0.863, recall: 0.9374, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4808, scimark_benchmark: 1365.6227, usercpu_time_millis: 128.824, usercpu_time_millis_testing: 1.337, usercpu_time_millis_training: 127.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9628, kappa: 0.9086, kb_relative_information_score: 29039.2289, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1658, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3813, scimark_benchmark: 1367.86, usercpu_time_millis: 114.065, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 113.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9668, kappa: 0.9185, kb_relative_information_score: 29286.2973, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9669, prior_entropy: 0.863, recall: 0.9669, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.3574, scimark_benchmark: 1367.0454, usercpu_time_millis: 430.105, usercpu_time_millis_testing: 8.568, usercpu_time_millis_training: 421.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.955, kappa: 0.8895, kb_relative_information_score: 27886.9472, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9549, predictive_accuracy: 0.955, prior_entropy: 0.863, recall: 0.955, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.4164, scimark_benchmark: 1366.8864, usercpu_time_millis: 5790.366, usercpu_time_millis_testing: 22.322, usercpu_time_millis_training: 5768.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9563, kappa: 0.8927, kb_relative_information_score: 27946.0314, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.2008, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4081, scimark_benchmark: 1370.5819, usercpu_time_millis: 448.694, usercpu_time_millis_testing: 8.255, usercpu_time_millis_training: 440.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9437, kappa: 0.8603, kb_relative_information_score: 23216.7782, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9443, predictive_accuracy: 0.9444, prior_entropy: 0.863, recall: 0.9444, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.5002, scimark_benchmark: 1364.7811, usercpu_time_millis: 205.225, usercpu_time_millis_testing: 11.361, usercpu_time_millis_training: 193.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9274, kappa: 0.8193, kb_relative_information_score: 21872.8767, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9286, predictive_accuracy: 0.9288, prior_entropy: 0.863, recall: 0.9288, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.5368, scimark_benchmark: 1366.5064, usercpu_time_millis: 503.223, usercpu_time_millis_testing: 11.208, usercpu_time_millis_training: 492.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -13.3248, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1367.829, usercpu_time_millis: 20.779, usercpu_time_millis_testing: 3.311, usercpu_time_millis_training: 17.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.914, kappa: 0.7856, kb_relative_information_score: 23406.2816, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9151, predictive_accuracy: 0.9157, prior_entropy: 0.863, recall: 0.9157, relative_absolute_error: 0.3359, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.5333, scimark_benchmark: 1360.6419, usercpu_time_millis: 618.272, usercpu_time_millis_testing: 2.072, usercpu_time_millis_training: 616.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.863, kappa: 0.6687, kb_relative_information_score: 17365.9272, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8658, predictive_accuracy: 0.8613, prior_entropy: 0.863, recall: 0.8613, relative_absolute_error: 0.5022, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.69, scimark_benchmark: 1366.4026, usercpu_time_millis: 545.651, usercpu_time_millis_testing: 1.978, usercpu_time_millis_training: 543.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8588, kappa: 0.6534, kb_relative_information_score: 15187.7808, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8586, predictive_accuracy: 0.8591, prior_entropy: 0.863, recall: 0.8591, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.7323, scimark_benchmark: 1366.3374, usercpu_time_millis: 242.457, usercpu_time_millis_testing: 6.658, usercpu_time_millis_training: 235.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9686, kappa: 0.9231, kb_relative_information_score: 29753.1425, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9686, predictive_accuracy: 0.9687, prior_entropy: 0.863, recall: 0.9687, relative_absolute_error: 0.1458, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3488, scimark_benchmark: 1367.8431, usercpu_time_millis: 4356.208, usercpu_time_millis_testing: 21.549, usercpu_time_millis_training: 4334.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9578, kappa: 0.8965, kb_relative_information_score: 28061.9695, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9578, predictive_accuracy: 0.9579, prior_entropy: 0.863, recall: 0.9579, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.4027, scimark_benchmark: 1372.524, usercpu_time_millis: 1096.647, usercpu_time_millis_testing: 8.794, usercpu_time_millis_training: 1087.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.9299, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1366.4349, usercpu_time_millis: 48.181, usercpu_time_millis_testing: 6.425, usercpu_time_millis_training: 41.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9664, kappa: 0.9176, kb_relative_information_score: 29637.3747, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.863, recall: 0.9665, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3585, scimark_benchmark: 1367.6387, usercpu_time_millis: 8560.364, usercpu_time_millis_testing: 18.899, usercpu_time_millis_training: 8541.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8582, kappa: 0.6526, kb_relative_information_score: 15477.7128, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8582, predictive_accuracy: 0.8582, prior_entropy: 0.863, recall: 0.8582, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7379, scimark_benchmark: 1369.3128, usercpu_time_millis: 404.251, usercpu_time_millis_testing: 8.336, usercpu_time_millis_training: 395.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9525, kappa: 0.8836, kb_relative_information_score: 27622.426, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9525, predictive_accuracy: 0.9526, prior_entropy: 0.863, recall: 0.9526, relative_absolute_error: 0.2077, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4261, scimark_benchmark: 1367.2601, usercpu_time_millis: 661.891, usercpu_time_millis_testing: 2.129, usercpu_time_millis_training: 659.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9593, kappa: 0.9, kb_relative_information_score: 28324.1489, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.3949, scimark_benchmark: 1374.0582, usercpu_time_millis: 813.801, usercpu_time_millis_testing: 9.05, usercpu_time_millis_training: 804.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.918, kappa: 0.7941, kb_relative_information_score: 22430.9485, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9222, predictive_accuracy: 0.9206, prior_entropy: 0.863, recall: 0.9206, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.5374, scimark_benchmark: 1365.7447, usercpu_time_millis: 100.321, usercpu_time_millis_testing: 1.299, usercpu_time_millis_training: 99.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9677, kappa: 0.9208, kb_relative_information_score: 29607.6445, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3549, scimark_benchmark: 1364.7292, usercpu_time_millis: 4085.575, usercpu_time_millis_testing: 14.907, usercpu_time_millis_training: 4070.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9661, kappa: 0.9169, kb_relative_information_score: 29358.4027, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.1575, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.3639, scimark_benchmark: 1368.0743, usercpu_time_millis: 875.002, usercpu_time_millis_testing: 3.776, usercpu_time_millis_training: 871.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9197, kappa: 0.7984, kb_relative_information_score: 24713.8072, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9239, predictive_accuracy: 0.9223, prior_entropy: 0.863, recall: 0.9223, relative_absolute_error: 0.2914, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.5126, scimark_benchmark: 1367.6039, usercpu_time_millis: 1339.447, usercpu_time_millis_testing: 8.09, usercpu_time_millis_training: 1331.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9321, kappa: 0.8319, kb_relative_information_score: 25581.7313, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9322, predictive_accuracy: 0.9328, prior_entropy: 0.863, recall: 0.9328, relative_absolute_error: 0.2632, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4935, scimark_benchmark: 1363.3453, usercpu_time_millis: 8970.549, usercpu_time_millis_testing: 19.48, usercpu_time_millis_training: 8951.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9604, kappa: 0.9029, kb_relative_information_score: 28928.3166, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3876, scimark_benchmark: 1367.4224, usercpu_time_millis: 5687.862, usercpu_time_millis_testing: 10.01, usercpu_time_millis_training: 5677.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9602, kappa: 0.9024, kb_relative_information_score: 28891.2237, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.1693, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.386, scimark_benchmark: 1369.9881, usercpu_time_millis: 9786.992, usercpu_time_millis_testing: 24.166, usercpu_time_millis_training: 9762.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9618, kappa: 0.9063, kb_relative_information_score: 28765.0222, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.3827, scimark_benchmark: 1368.8512, usercpu_time_millis: 2265.217, usercpu_time_millis_testing: 14.633, usercpu_time_millis_training: 2250.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.7695, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1362.0549, usercpu_time_millis: 43.761, usercpu_time_millis_testing: 7.683, usercpu_time_millis_training: 36.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9607, kappa: 0.9037, kb_relative_information_score: 28837.8343, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3869, scimark_benchmark: 1364.1348, usercpu_time_millis: 13600.585, usercpu_time_millis_testing: 23.665, usercpu_time_millis_training: 13576.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9433, kappa: 0.8604, kb_relative_information_score: 26448.5622, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9432, predictive_accuracy: 0.9436, prior_entropy: 0.863, recall: 0.9436, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.464, scimark_benchmark: 1367.4313, usercpu_time_millis: 2480.905, usercpu_time_millis_testing: 5.591, usercpu_time_millis_training: 2475.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9571, kappa: 0.894, kb_relative_information_score: 25625.6562, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 0.2906, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4331, scimark_benchmark: 1372.4261, usercpu_time_millis: 627.63, usercpu_time_millis_testing: 24.545, usercpu_time_millis_training: 603.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9317, kappa: 0.8305, kb_relative_information_score: 25197.3964, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9324, predictive_accuracy: 0.9328, prior_entropy: 0.863, recall: 0.9328, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.5021, scimark_benchmark: 1367.0303, usercpu_time_millis: 5394.508, usercpu_time_millis_testing: 11.803, usercpu_time_millis_training: 5382.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9654, kappa: 0.915, kb_relative_information_score: 29531.9123, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3647, scimark_benchmark: 1354.627, usercpu_time_millis: 11806.608, usercpu_time_millis_testing: 22.534, usercpu_time_millis_training: 11784.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9572, kappa: 0.895, kb_relative_information_score: 28344.176, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9571, predictive_accuracy: 0.9572, prior_entropy: 0.863, recall: 0.9572, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.4027, scimark_benchmark: 1367.9482, usercpu_time_millis: 1369.42, usercpu_time_millis_testing: 3.459, usercpu_time_millis_training: 1365.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8603, kappa: 0.6637, kb_relative_information_score: 17291.0447, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8643, predictive_accuracy: 0.8582, prior_entropy: 0.863, recall: 0.8582, relative_absolute_error: 0.5033, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6918, scimark_benchmark: 1364.0472, usercpu_time_millis: 1886.214, usercpu_time_millis_testing: 8.153, usercpu_time_millis_training: 1878.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9557, kappa: 0.8913, kb_relative_information_score: 27981.9616, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.4128, scimark_benchmark: 1368.5363, usercpu_time_millis: 1360.233, usercpu_time_millis_testing: 6.784, usercpu_time_millis_training: 1353.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9517, kappa: 0.8814, kb_relative_information_score: 27458.6821, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9517, predictive_accuracy: 0.9519, prior_entropy: 0.863, recall: 0.9519, relative_absolute_error: 0.2141, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4297, scimark_benchmark: 1369.6329, usercpu_time_millis: 893.186, usercpu_time_millis_testing: 4.583, usercpu_time_millis_training: 888.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8684, kappa: 0.6789, kb_relative_information_score: 17439.8212, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8691, predictive_accuracy: 0.8678, prior_entropy: 0.863, recall: 0.8678, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6747, scimark_benchmark: 1366.5498, usercpu_time_millis: 478.135, usercpu_time_millis_testing: 6.348, usercpu_time_millis_training: 471.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9614, kappa: 0.9051, kb_relative_information_score: 28653.6141, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3848, scimark_benchmark: 1367.1487, usercpu_time_millis: 503.294, usercpu_time_millis_testing: 4.828, usercpu_time_millis_training: 498.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -12.9401, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1367.3311, usercpu_time_millis: 23.636, usercpu_time_millis_testing: 1.799, usercpu_time_millis_training: 21.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8616, kappa: 0.6627, kb_relative_information_score: 16410.2269, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8626, predictive_accuracy: 0.8608, prior_entropy: 0.863, recall: 0.8608, relative_absolute_error: 0.5444, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.708, scimark_benchmark: 1368.7672, usercpu_time_millis: 90.398, usercpu_time_millis_testing: 1.267, usercpu_time_millis_training: 89.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9653, kappa: 0.9148, kb_relative_information_score: 29340.6367, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3656, scimark_benchmark: 1368.1091, usercpu_time_millis: 818.026, usercpu_time_millis_testing: 2.72, usercpu_time_millis_training: 815.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9634, kappa: 0.9102, kb_relative_information_score: 28910.3979, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9635, prior_entropy: 0.863, recall: 0.9635, relative_absolute_error: 0.172, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.17, root_relative_squared_error: 0.3763, scimark_benchmark: 1370.1341, usercpu_time_millis: 1933.388, usercpu_time_millis_testing: 15.443, usercpu_time_millis_training: 1917.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.963, kappa: 0.9092, kb_relative_information_score: 29001.4046, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3765, scimark_benchmark: 1367.7563, usercpu_time_millis: 5652.091, usercpu_time_millis_testing: 22.981, usercpu_time_millis_training: 5629.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9561, kappa: 0.8924, kb_relative_information_score: 28197.9086, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 0.863, recall: 0.9561, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.4078, scimark_benchmark: 1368.1706, usercpu_time_millis: 9613.885, usercpu_time_millis_testing: 24.071, usercpu_time_millis_training: 9589.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9591, kappa: 0.8996, kb_relative_information_score: 28465.528, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.3971, scimark_benchmark: 1367.9127, usercpu_time_millis: 3585.197, usercpu_time_millis_testing: 11.343, usercpu_time_millis_training: 3573.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9148, kappa: 0.7856, kb_relative_information_score: 24381.8716, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9201, predictive_accuracy: 0.9179, prior_entropy: 0.863, recall: 0.9179, relative_absolute_error: 0.2996, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.5275, scimark_benchmark: 1369.6042, usercpu_time_millis: 4939.498, usercpu_time_millis_testing: 11.991, usercpu_time_millis_training: 4927.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8687, kappa: 0.6803, kb_relative_information_score: 17545.2778, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8698, predictive_accuracy: 0.8678, prior_entropy: 0.863, recall: 0.8678, relative_absolute_error: 0.5022, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.6798, scimark_benchmark: 1365.9627, usercpu_time_millis: 630.831, usercpu_time_millis_testing: 7.958, usercpu_time_millis_training: 622.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9665, kappa: 0.9179, kb_relative_information_score: 29426.1892, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1556, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3617, scimark_benchmark: 1372.898, usercpu_time_millis: 1145.653, usercpu_time_millis_testing: 3.938, usercpu_time_millis_training: 1141.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9175, kappa: 0.7927, kb_relative_information_score: 23039.3401, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9219, predictive_accuracy: 0.9202, prior_entropy: 0.863, recall: 0.9202, relative_absolute_error: 0.3592, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.5287, scimark_benchmark: 1370.6551, usercpu_time_millis: 1013.986, usercpu_time_millis_testing: 10.63, usercpu_time_millis_training: 1003.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.8679, kappa: 0.6781, kb_relative_information_score: 17452.3787, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8688, predictive_accuracy: 0.8673, prior_entropy: 0.863, recall: 0.8673, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.6785, scimark_benchmark: 1374.4289, usercpu_time_millis: 483.023, usercpu_time_millis_testing: 5.765, usercpu_time_millis_training: 477.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9249, kappa: 0.8122, kb_relative_information_score: 24830.2327, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9274, predictive_accuracy: 0.9268, prior_entropy: 0.863, recall: 0.9268, relative_absolute_error: 0.2914, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.5035, scimark_benchmark: 1369.8874, usercpu_time_millis: 2054.963, usercpu_time_millis_testing: 8.957, usercpu_time_millis_training: 2046.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.96, kappa: 0.9016, kb_relative_information_score: 28558.3837, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.9601, prior_entropy: 0.863, recall: 0.9601, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.3908, scimark_benchmark: 1366.243, usercpu_time_millis: 3484.389, usercpu_time_millis_testing: 18.036, usercpu_time_millis_training: 3466.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8601, kappa: 0.6548, kb_relative_information_score: 14391.0085, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8594, predictive_accuracy: 0.861, prior_entropy: 0.863, recall: 0.861, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.7145, scimark_benchmark: 1367.4332, usercpu_time_millis: 198.158, usercpu_time_millis_testing: 10.218, usercpu_time_millis_training: 187.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9506, kappa: 0.8789, kb_relative_information_score: 27320.9898, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9506, predictive_accuracy: 0.9507, prior_entropy: 0.863, recall: 0.9507, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4341, scimark_benchmark: 1366.4796, usercpu_time_millis: 5255.819, usercpu_time_millis_testing: 23.557, usercpu_time_millis_training: 5232.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9166, kappa: 0.7905, kb_relative_information_score: 22849.8776, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9211, predictive_accuracy: 0.9194, prior_entropy: 0.863, recall: 0.9194, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.533, scimark_benchmark: 1362.9618, usercpu_time_millis: 718.992, usercpu_time_millis_testing: 7.61, usercpu_time_millis_training: 711.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9444, kappa: 0.8633, kb_relative_information_score: 26626.4423, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9444, predictive_accuracy: 0.9447, prior_entropy: 0.863, recall: 0.9447, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4528, scimark_benchmark: 1367.6474, usercpu_time_millis: 3456.333, usercpu_time_millis_testing: 14.754, usercpu_time_millis_training: 3441.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9677, kappa: 0.9207, kb_relative_information_score: 29976.5085, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3521, scimark_benchmark: 1372.2152, usercpu_time_millis: 5248.995, usercpu_time_millis_testing: 8.824, usercpu_time_millis_training: 5240.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8682, kappa: 0.6795, kb_relative_information_score: 17287.9852, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8695, predictive_accuracy: 0.8673, prior_entropy: 0.863, recall: 0.8673, relative_absolute_error: 0.5079, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6847, scimark_benchmark: 1366.7952, usercpu_time_millis: 1446.689, usercpu_time_millis_testing: 10.223, usercpu_time_millis_training: 1436.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9701, kappa: 0.9266, kb_relative_information_score: 30117.7212, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.863, recall: 0.9701, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.3354, scimark_benchmark: 1366.7, usercpu_time_millis: 319.667, usercpu_time_millis_testing: 3.056, usercpu_time_millis_training: 316.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9685, kappa: 0.9228, kb_relative_information_score: 29753.4281, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1458, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3483, scimark_benchmark: 1366.9589, usercpu_time_millis: 4237.276, usercpu_time_millis_testing: 21.615, usercpu_time_millis_training: 4215.661,

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