OpenML
Supervised Classification on ozone-level-8hr

Supervised Classification on ozone-level-8hr

Task 145855 Supervised Classification ozone-level-8hr 90654 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

90654 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: 0.8794, f_measure: 0.9063, kb_relative_information_score: -1072.6466, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.9113, scimark_benchmark: 1743.3228, usercpu_time_millis: 9.264, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 8.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.9063, kb_relative_information_score: 3.1751, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1721.462, usercpu_time_millis: 1.329, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 1.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.9063, kb_relative_information_score: -1455.4, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.9543, scimark_benchmark: 1972.0794, usercpu_time_millis: 8.572, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 8.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -1243.7646, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9412, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8857, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.223, root_relative_squared_error: 0.917, scimark_benchmark: 1795.6811, usercpu_time_millis: 37.043, usercpu_time_millis_testing: 0.713, usercpu_time_millis_training: 36.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7742, f_measure: 0.9063, kb_relative_information_score: -1285.881, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.965, scimark_benchmark: 1753.4644, usercpu_time_millis: 5.565, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 4.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.9203, kappa: 0.1742, kb_relative_information_score: -840.8744, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8667, scimark_benchmark: 1813.6966, usercpu_time_millis: 8.02, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 7.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.9063, kb_relative_information_score: -1381.4995, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.9561, scimark_benchmark: 1754.9465, usercpu_time_millis: 3.811, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 3.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.9251, kappa: 0.2426, kb_relative_information_score: -731.1617, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9286, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8547, scimark_benchmark: 1921.1758, usercpu_time_millis: 42.481, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 41.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.9206, kappa: 0.1806, kb_relative_information_score: -780.9729, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9293, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.8661, scimark_benchmark: 1715.8648, usercpu_time_millis: 27.754, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 27.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -817.4567, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.824, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8661, scimark_benchmark: 1730.1903, usercpu_time_millis: 13.989, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 13.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.9251, kappa: 0.2426, kb_relative_information_score: -611.5397, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9286, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8521, scimark_benchmark: 1850.3492, usercpu_time_millis: 33.422, usercpu_time_millis_testing: 0.942, usercpu_time_millis_training: 32.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.9088, kappa: 0.0327, kb_relative_information_score: -889.3304, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9166, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.8849, scimark_benchmark: 1814.564, usercpu_time_millis: 34.454, usercpu_time_millis_testing: 1.023, usercpu_time_millis_training: 33.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -977.0485, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9096, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8385, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.8931, scimark_benchmark: 1738.4394, usercpu_time_millis: 17.13, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 16.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -1175.9014, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9415, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.9111, scimark_benchmark: 1726.2364, usercpu_time_millis: 13.503, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 12.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.9063, kb_relative_information_score: -1546.4583, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.9525, scimark_benchmark: 1737.1272, usercpu_time_millis: 11.817, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 11.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.9092, kappa: 0.0346, kb_relative_information_score: -1045.9842, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9419, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.8982, scimark_benchmark: 1738.865, usercpu_time_millis: 11.238, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 10.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.9198, kappa: 0.176, kb_relative_information_score: -754.941, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9244, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.7884, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.8721, scimark_benchmark: 1838.2863, usercpu_time_millis: 7.093, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 6.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.9252, kappa: 0.2392, kb_relative_information_score: -752.8484, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9313, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7896, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8557, scimark_benchmark: 1733.3606, usercpu_time_millis: 25.709, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 25.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.9063, kb_relative_information_score: 3.6273, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1828.1012, usercpu_time_millis: 1.493, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 1.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.9063, kb_relative_information_score: -1487.674, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.9487, scimark_benchmark: 1862.6355, usercpu_time_millis: 11.751, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 11.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.9063, kb_relative_information_score: -1080.7305, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.927, scimark_benchmark: 1871.7684, usercpu_time_millis: 8.544, usercpu_time_millis_testing: 0.847, usercpu_time_millis_training: 7.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.9151, kappa: 0.1084, kb_relative_information_score: -796.8931, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9338, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.8708, scimark_benchmark: 1736.9559, usercpu_time_millis: 3.565, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 3.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1512.0911, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.9403, scimark_benchmark: 1736.5552, usercpu_time_millis: 50.731, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 50.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -1120.4845, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9415, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.9053, scimark_benchmark: 1759.5916, usercpu_time_millis: 10.395, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 9.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.9063, kb_relative_information_score: -1242.7337, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.9492, scimark_benchmark: 1733.299, usercpu_time_millis: 16.574, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 16.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.9233, kappa: 0.2236, kb_relative_information_score: -832.4738, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9257, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.799, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.212, root_relative_squared_error: 0.8716, scimark_benchmark: 1759.4799, usercpu_time_millis: 4.876, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 4.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9063, kb_relative_information_score: 2.9067, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1858.2815, usercpu_time_millis: 1.697, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 1.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.9236, kappa: 0.2374, kb_relative_information_score: -803.5679, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9223, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.7829, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.8782, scimark_benchmark: 1779.227, usercpu_time_millis: 116.922, usercpu_time_millis_testing: 1.041, usercpu_time_millis_training: 115.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.9063, kb_relative_information_score: -1247.7193, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8836, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.9198, scimark_benchmark: 1851.5586, usercpu_time_millis: 58.475, usercpu_time_millis_testing: 0.684, usercpu_time_millis_training: 57.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.9247, kappa: 0.2321, kb_relative_information_score: -726.2495, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9318, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7873, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8523, scimark_benchmark: 1731.6389, usercpu_time_millis: 51.75, usercpu_time_millis_testing: 0.963, usercpu_time_millis_training: 50.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -720.5931, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9387, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8569, scimark_benchmark: 1763.4759, usercpu_time_millis: 35.049, usercpu_time_millis_testing: 1.325, usercpu_time_millis_training: 33.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.9063, kb_relative_information_score: -1576.8665, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9179, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.9492, scimark_benchmark: 1774.6047, usercpu_time_millis: 29.592, usercpu_time_millis_testing: 0.867, usercpu_time_millis_training: 28.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -685.3448, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7889, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8529, scimark_benchmark: 1716.8263, usercpu_time_millis: 15.614, usercpu_time_millis_testing: 0.567, usercpu_time_millis_training: 15.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1818.8223, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.235, root_relative_squared_error: 0.9662, scimark_benchmark: 1830.5381, usercpu_time_millis: 12.795, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 12.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -957.2138, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.8898, scimark_benchmark: 1735.97, usercpu_time_millis: 8.025, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 7.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.9156, kappa: 0.1223, kb_relative_information_score: -1029.3032, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9216, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8267, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.894, scimark_benchmark: 1737.0046, usercpu_time_millis: 1.23, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 1.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.9063, kb_relative_information_score: -1014.1215, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.9577, scimark_benchmark: 1837.8083, usercpu_time_millis: 2.176, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 1.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 4.6271, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1743.6952, usercpu_time_millis: 3.904, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 3.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.9224, kappa: 0.2009, kb_relative_information_score: -564.9696, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8492, scimark_benchmark: 1815.1784, usercpu_time_millis: 24.845, usercpu_time_millis_testing: 1.905, usercpu_time_millis_training: 22.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.9063, kb_relative_information_score: -1065.6931, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8962, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.9256, scimark_benchmark: 1836.5298, usercpu_time_millis: 9.372, usercpu_time_millis_testing: 1.008, usercpu_time_millis_training: 8.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -681.1098, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.8681, scimark_benchmark: 1839.1983, usercpu_time_millis: 12.496, usercpu_time_millis_testing: 1.391, usercpu_time_millis_training: 11.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.9247, kappa: 0.2321, kb_relative_information_score: -734.349, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9318, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8565, scimark_benchmark: 1750.8976, usercpu_time_millis: 56.94, usercpu_time_millis_testing: 1.55, usercpu_time_millis_training: 55.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: 4.3618, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1948.8453, usercpu_time_millis: 1.118, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 0.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.9151, kappa: 0.1084, kb_relative_information_score: -926.9727, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9338, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8207, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.8793, scimark_benchmark: 1727.6457, usercpu_time_millis: 51.464, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 50.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -887.5575, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9096, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.8954, scimark_benchmark: 1840.1276, usercpu_time_millis: 6.324, usercpu_time_millis_testing: 0.591, usercpu_time_millis_training: 5.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 0.7342, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1823.0011, usercpu_time_millis: 1.884, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 1.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -954.8683, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.8955, scimark_benchmark: 1717.4134, usercpu_time_millis: 4.182, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 3.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.925, kappa: 0.2339, kb_relative_information_score: -724.0135, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9333, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8515, scimark_benchmark: 1762.9998, usercpu_time_millis: 35.185, usercpu_time_millis_testing: 0.978, usercpu_time_millis_training: 34.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.9255, kappa: 0.2409, kb_relative_information_score: -730.4582, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9327, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8561, scimark_benchmark: 1755.3064, usercpu_time_millis: 9.92, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 9.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 2.2766, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1770.9929, usercpu_time_millis: 2.002, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 1.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.9063, kb_relative_information_score: -1700.594, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.9601, scimark_benchmark: 1767.8668, usercpu_time_millis: 15.745, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 15.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.929, kappa: 0.3071, kb_relative_information_score: -803.1522, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9273, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.215, root_relative_squared_error: 0.8838, scimark_benchmark: 1824.9307, usercpu_time_millis: 233.363, usercpu_time_millis_testing: 1.682, usercpu_time_millis_training: 231.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -995.8126, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.9097, scimark_benchmark: 1824.9793, usercpu_time_millis: 11.314, usercpu_time_millis_testing: 1.071, usercpu_time_millis_training: 10.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.9063, kb_relative_information_score: -1424.3617, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.9494, scimark_benchmark: 1856.5282, usercpu_time_millis: 11.273, usercpu_time_millis_testing: 0.672, usercpu_time_millis_training: 10.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.9261, kappa: 0.2607, kb_relative_information_score: -641.1074, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9273, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.85, scimark_benchmark: 1744.3811, usercpu_time_millis: 56.666, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 55.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.9063, kb_relative_information_score: -1639.7331, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.233, root_relative_squared_error: 0.9578, scimark_benchmark: 1844.4319, usercpu_time_millis: 36.03, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 35.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -928.3762, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.8876, scimark_benchmark: 1733.1857, usercpu_time_millis: 36.767, usercpu_time_millis_testing: 0.908, usercpu_time_millis_training: 35.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.9267, kappa: 0.2643, kb_relative_information_score: -583.9267, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7606, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8476, scimark_benchmark: 1819.9687, usercpu_time_millis: 16.761, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 16.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -996.4116, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9296, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.8877, scimark_benchmark: 1829.7064, usercpu_time_millis: 55.287, usercpu_time_millis_testing: 0.957, usercpu_time_millis_training: 54.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.9243, kappa: 0.2171, kb_relative_information_score: -764.7635, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9426, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.86, scimark_benchmark: 1714.7466, usercpu_time_millis: 1.828, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 1.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.9063, kb_relative_information_score: -1142.9264, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9086, scimark_benchmark: 1735.9609, usercpu_time_millis: 18.72, usercpu_time_millis_testing: 0.588, usercpu_time_millis_training: 18.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.9244, kappa: 0.2304, kb_relative_information_score: -799.5465, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9305, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7889, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8575, scimark_benchmark: 1835.7914, usercpu_time_millis: 89.339, usercpu_time_millis_testing: 0.983, usercpu_time_millis_training: 88.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.9063, kb_relative_information_score: -1559.9277, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.9506, scimark_benchmark: 1696.154, usercpu_time_millis: 6.301, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 6.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -808.7677, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9357, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8611, scimark_benchmark: 1834.2138, usercpu_time_millis: 11.337, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 11.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.9063, kb_relative_information_score: -1124.5876, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8747, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.223, root_relative_squared_error: 0.9168, scimark_benchmark: 1741.2399, usercpu_time_millis: 3.005, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 2.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.9063, kb_relative_information_score: -1093.7836, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9538, scimark_benchmark: 1830.8245, usercpu_time_millis: 2.615, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 2.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1757.624, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.9634, scimark_benchmark: 1797.0161, usercpu_time_millis: 62.997, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 62.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1126.871, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.9136, scimark_benchmark: 1802.6503, usercpu_time_millis: 53.327, usercpu_time_millis_testing: 1.127, usercpu_time_millis_training: 52.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.928, kappa: 0.2762, kb_relative_information_score: -812.8334, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.932, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7889, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.859, scimark_benchmark: 1809.0954, usercpu_time_millis: 31.58, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 31.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1478.0668, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.9006, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.9388, scimark_benchmark: 1799.6035, usercpu_time_millis: 16.131, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 15.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: -6.1866, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1823.2862, usercpu_time_millis: 4.944, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 4.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.9283, kappa: 0.2893, kb_relative_information_score: -683.4406, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.929, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.858, scimark_benchmark: 1819.0936, usercpu_time_millis: 51.279, usercpu_time_millis_testing: 0.809, usercpu_time_millis_training: 50.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.9274, kappa: 0.2725, kb_relative_information_score: -722.8008, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.93, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7731, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8551, scimark_benchmark: 1783.0534, usercpu_time_millis: 38.363, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 37.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.9131, kappa: 0.0861, kb_relative_information_score: -1034.1911, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9263, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8492, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.8848, scimark_benchmark: 1787.2669, usercpu_time_millis: 26.268, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 25.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.9211, kappa: 0.1838, kb_relative_information_score: -693.3943, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9333, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.862, scimark_benchmark: 1838.0877, usercpu_time_millis: 30.706, usercpu_time_millis_testing: 1.121, usercpu_time_millis_training: 29.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.9063, kb_relative_information_score: -1125.4596, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.9133, scimark_benchmark: 1785.0475, usercpu_time_millis: 16.727, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 16.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.9184, kappa: 0.1533, kb_relative_information_score: -914.2963, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9279, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.8688, scimark_benchmark: 1837.3573, usercpu_time_millis: 16.401, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 15.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: -3.0284, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1811.0544, usercpu_time_millis: 4.957, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 4.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -1003.6829, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9096, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.8956, scimark_benchmark: 1826.7049, usercpu_time_millis: 7.537, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 7.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.9063, kb_relative_information_score: -1135.6123, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8767, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.222, root_relative_squared_error: 0.9128, scimark_benchmark: 1812.7787, usercpu_time_millis: 5.553, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 5.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9269, kappa: 0.2583, kb_relative_information_score: -667.7946, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9343, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8466, scimark_benchmark: 1742.7414, usercpu_time_millis: 56.849, usercpu_time_millis_testing: 1.541, usercpu_time_millis_training: 55.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1365.1076, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8857, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.9307, scimark_benchmark: 1793.6349, usercpu_time_millis: 93.36, usercpu_time_millis_testing: 0.946, usercpu_time_millis_training: 92.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.9216, kappa: 0.1916, kb_relative_information_score: -854.6164, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9322, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8074, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.871, scimark_benchmark: 1806.4387, usercpu_time_millis: 48.067, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 47.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.914, kappa: 0.0967, kb_relative_information_score: -784.7842, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9281, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8705, scimark_benchmark: 1808.026, usercpu_time_millis: 35.854, usercpu_time_millis_testing: 1.094, usercpu_time_millis_training: 34.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -793.121, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9366, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8697, scimark_benchmark: 1770.6299, usercpu_time_millis: 21.103, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 20.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.9063, kb_relative_information_score: -1461.9304, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.9476, scimark_benchmark: 1721.8007, usercpu_time_millis: 16.622, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 16.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.9285, kappa: 0.2975, kb_relative_information_score: -787.836, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9277, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7749, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.8794, scimark_benchmark: 1804.4805, usercpu_time_millis: 10.917, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 10.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.9063, kb_relative_information_score: -1414.043, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.23, root_relative_squared_error: 0.9458, scimark_benchmark: 1858.1891, usercpu_time_millis: 12.861, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 12.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.9063, kb_relative_information_score: -1567.4689, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.9517, scimark_benchmark: 1911.765, usercpu_time_millis: 27.205, usercpu_time_millis_testing: 0.645, usercpu_time_millis_training: 26.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.9063, kb_relative_information_score: -1132.3205, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.9479, scimark_benchmark: 1847.7278, usercpu_time_millis: 5.187, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 4.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.9063, kb_relative_information_score: -1109.672, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9249, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.9492, scimark_benchmark: 1812.9501, usercpu_time_millis: 5.938, usercpu_time_millis_testing: 0.703, usercpu_time_millis_training: 5.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.9063, kb_relative_information_score: -1096.011, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9211, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.947, scimark_benchmark: 1751.0915, usercpu_time_millis: 3.951, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 3.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1178.5767, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.9109, scimark_benchmark: 1850.2875, usercpu_time_millis: 21.931, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 21.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.9063, kb_relative_information_score: -1399.3659, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.9653, scimark_benchmark: 1953.2616, usercpu_time_millis: 7.221, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 6.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.9063, kb_relative_information_score: -1298.8725, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.9277, scimark_benchmark: 1720.9516, usercpu_time_millis: 5.655, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 5.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -989.8719, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9297, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.8792, scimark_benchmark: 1846.4335, usercpu_time_millis: 19.548, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 18.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.9063, kb_relative_information_score: -1275.5535, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9145, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.9411, scimark_benchmark: 1909.4137, usercpu_time_millis: 5.832, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 5.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.9063, kb_relative_information_score: -1434.8766, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9397, scimark_benchmark: 1840.7617, usercpu_time_millis: 11.409, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 11.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.9063, kb_relative_information_score: -1541.3203, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.9589, scimark_benchmark: 1969.8955, usercpu_time_millis: 23.835, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 23.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.9063, kb_relative_information_score: -1431.1012, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.9527, scimark_benchmark: 1841.2811, usercpu_time_millis: 8.191, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 7.988,

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