Task
Supervised Classification on wilt

Supervised Classification on wilt

Task 9889 Supervised Classification wilt 59008 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

59008 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: 0.9682, f_measure: 0.9659, kappa: 0.6294, kb_relative_information_score: 850.1377, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9678, predictive_accuracy: 0.9698, prior_entropy: 0.3037, recall: 0.9698, relative_absolute_error: 0.6286, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.722, scimark_benchmark: 1864.6665, usercpu_time_millis: 25.921, usercpu_time_millis_testing: 1.733, usercpu_time_millis_training: 24.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9702, kappa: 0.6932, kb_relative_information_score: 1990.8977, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9697, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1365, root_relative_squared_error: 0.6042, scimark_benchmark: 1876.1631, usercpu_time_millis: 18.37, usercpu_time_millis_testing: 0.743, usercpu_time_millis_training: 17.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9816, kappa: 0.8127, kb_relative_information_score: 2679.5444, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9817, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.116, root_relative_squared_error: 0.5134, scimark_benchmark: 1872.9496, usercpu_time_millis: 28.917, usercpu_time_millis_testing: 1.746, usercpu_time_millis_training: 27.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9628, kappa: 0.5866, kb_relative_information_score: 758.164, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.967, predictive_accuracy: 0.9682, prior_entropy: 0.3037, recall: 0.9682, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.7223, scimark_benchmark: 1873.8058, usercpu_time_millis: 16.761, usercpu_time_millis_testing: 1.242, usercpu_time_millis_training: 15.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9794, kappa: 0.7865, kb_relative_information_score: 2640.3974, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9797, predictive_accuracy: 0.9806, prior_entropy: 0.3037, recall: 0.9806, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.5174, scimark_benchmark: 1873.4805, usercpu_time_millis: 26.315, usercpu_time_millis_testing: 1.91, usercpu_time_millis_training: 24.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9788, kappa: 0.7827, kb_relative_information_score: 2204.9271, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9787, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.5566, scimark_benchmark: 1874.5188, usercpu_time_millis: 32.237, usercpu_time_millis_testing: 1.473, usercpu_time_millis_training: 30.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9845, kappa: 0.8451, kb_relative_information_score: 3037.8533, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9843, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2523, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.4763, scimark_benchmark: 1855.0134, usercpu_time_millis: 36.045, usercpu_time_millis_testing: 1.912, usercpu_time_millis_training: 34.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9827, kappa: 0.8264, kb_relative_information_score: 2415.2885, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9825, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.3421, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.5361, scimark_benchmark: 1866.1582, usercpu_time_millis: 24.267, usercpu_time_millis_testing: 1.107, usercpu_time_millis_training: 23.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9819, kappa: 0.8159, kb_relative_information_score: 2871.7377, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9819, predictive_accuracy: 0.9826, prior_entropy: 0.3037, recall: 0.9826, relative_absolute_error: 0.2996, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.4996, scimark_benchmark: 1849.5133, usercpu_time_millis: 18.007, usercpu_time_millis_testing: 1.077, usercpu_time_millis_training: 16.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9796, kappa: 0.7899, kb_relative_information_score: 2770.8288, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9797, predictive_accuracy: 0.9806, prior_entropy: 0.3037, recall: 0.9806, relative_absolute_error: 0.3185, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.5067, scimark_benchmark: 1760.9592, usercpu_time_millis: 22.576, usercpu_time_millis_testing: 1.676, usercpu_time_millis_training: 20.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9825, kappa: 0.8231, kb_relative_information_score: 2790.5324, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9824, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.3043, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1121, root_relative_squared_error: 0.4962, scimark_benchmark: 1864.1471, usercpu_time_millis: 33.519, usercpu_time_millis_testing: 2.064, usercpu_time_millis_training: 31.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9692, kappa: 0.6714, kb_relative_information_score: 1512.2422, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9702, predictive_accuracy: 0.9721, prior_entropy: 0.3037, recall: 0.9721, relative_absolute_error: 0.4833, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.6364, scimark_benchmark: 1874.977, usercpu_time_millis: 10.984, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 10.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9684, kappa: 0.6619, kb_relative_information_score: 1518.8347, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9695, predictive_accuracy: 0.9715, prior_entropy: 0.3037, recall: 0.9715, relative_absolute_error: 0.5135, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.6389, scimark_benchmark: 1873.2281, usercpu_time_millis: 11.755, usercpu_time_millis_testing: 0.813, usercpu_time_millis_training: 10.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9772, kappa: 0.7648, kb_relative_information_score: 2297.824, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9774, predictive_accuracy: 0.9785, prior_entropy: 0.3037, recall: 0.9785, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.545, scimark_benchmark: 1874.8648, usercpu_time_millis: 25.237, usercpu_time_millis_testing: 1.73, usercpu_time_millis_training: 23.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9735, kappa: 0.7273, kb_relative_information_score: 1993.1091, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9732, predictive_accuracy: 0.9748, prior_entropy: 0.3037, recall: 0.9748, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.5898, scimark_benchmark: 1873.9387, usercpu_time_millis: 9.682, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 9.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9728, kappa: 0.7091, kb_relative_information_score: 2326.3137, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9744, predictive_accuracy: 0.9754, prior_entropy: 0.3037, recall: 0.9754, relative_absolute_error: 0.4224, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.5736, scimark_benchmark: 1875.903, usercpu_time_millis: 22.698, usercpu_time_millis_testing: 2.03, usercpu_time_millis_training: 20.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9821, kappa: 0.8239, kb_relative_information_score: 3177.0472, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.982, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.2182, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.5112, scimark_benchmark: 1848.7121, usercpu_time_millis: 55.296, usercpu_time_millis_testing: 2.186, usercpu_time_millis_training: 53.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.9198, kb_relative_information_score: -1176.6815, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9724, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9754, scimark_benchmark: 1871.1584, usercpu_time_millis: 8.446, usercpu_time_millis_testing: 0.866, usercpu_time_millis_training: 7.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.9198, kb_relative_information_score: -1212.9615, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9457, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.9512, scimark_benchmark: 1872.8797, usercpu_time_millis: 10.582, usercpu_time_millis_testing: 1.323, usercpu_time_millis_training: 9.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9787, kappa: 0.7784, kb_relative_information_score: 2650.427, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9794, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.355, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.5242, scimark_benchmark: 1872.4216, usercpu_time_millis: 31.139, usercpu_time_millis_testing: 2.612, usercpu_time_millis_training: 28.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9702, kappa: 0.6881, kb_relative_information_score: 1393.0098, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9702, predictive_accuracy: 0.9723, prior_entropy: 0.3037, recall: 0.9723, relative_absolute_error: 0.4647, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.6407, scimark_benchmark: 1877.7472, usercpu_time_millis: 24.405, usercpu_time_millis_testing: 1.344, usercpu_time_millis_training: 23.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9724, kappa: 0.7095, kb_relative_information_score: 2010.8557, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.973, predictive_accuracy: 0.9746, prior_entropy: 0.3037, recall: 0.9746, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.5763, scimark_benchmark: 1869.4196, usercpu_time_millis: 16.828, usercpu_time_millis_testing: 1.447, usercpu_time_millis_training: 15.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9723, kappa: 0.7029, kb_relative_information_score: 2319.9051, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.974, predictive_accuracy: 0.975, prior_entropy: 0.3037, recall: 0.975, relative_absolute_error: 0.4233, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.5729, scimark_benchmark: 1870.8644, usercpu_time_millis: 29.297, usercpu_time_millis_testing: 2.69, usercpu_time_millis_training: 26.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9833, kappa: 0.8318, kb_relative_information_score: 2999.014, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9831, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2703, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.4811, scimark_benchmark: 1867.6581, usercpu_time_millis: 40.187, usercpu_time_millis_testing: 2.112, usercpu_time_millis_training: 38.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.984, kappa: 0.8409, kb_relative_information_score: 3155.8032, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9839, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.229, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.4853, scimark_benchmark: 1868.5678, usercpu_time_millis: 53.07, usercpu_time_millis_testing: 2.539, usercpu_time_millis_training: 50.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9681, kappa: 0.6532, kb_relative_information_score: 1291.374, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9708, predictive_accuracy: 0.9719, prior_entropy: 0.3037, recall: 0.9719, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.15, root_relative_squared_error: 0.6639, scimark_benchmark: 1873.4078, usercpu_time_millis: 11.824, usercpu_time_millis_testing: 1.022, usercpu_time_millis_training: 10.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9648, kappa: 0.6157, kb_relative_information_score: 905.8533, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9669, predictive_accuracy: 0.969, prior_entropy: 0.3037, recall: 0.969, relative_absolute_error: 0.6103, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.707, scimark_benchmark: 1876.6882, usercpu_time_millis: 15.325, usercpu_time_millis_testing: 1.001, usercpu_time_millis_training: 14.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.9198, kb_relative_information_score: -3418.659, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8917, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.9135, scimark_benchmark: 1865.6428, usercpu_time_millis: 19.367, usercpu_time_millis_testing: 1.19, usercpu_time_millis_training: 18.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.972, kappa: 0.704, kb_relative_information_score: 1961.9704, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9728, predictive_accuracy: 0.9744, prior_entropy: 0.3037, recall: 0.9744, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.5838, scimark_benchmark: 1870.4545, usercpu_time_millis: 17.053, usercpu_time_millis_testing: 1.434, usercpu_time_millis_training: 15.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9834, kappa: 0.8343, kb_relative_information_score: 2994.878, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9832, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.4789, scimark_benchmark: 1871.3226, usercpu_time_millis: 37.293, usercpu_time_millis_testing: 1.903, usercpu_time_millis_training: 35.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9835, kappa: 0.8362, kb_relative_information_score: 3167.3591, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.4865, scimark_benchmark: 1869.817, usercpu_time_millis: 14.737, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 14.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9833, kappa: 0.8344, kb_relative_information_score: 3130.3453, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9832, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.4968, scimark_benchmark: 1872.9496, usercpu_time_millis: 20.942, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 20.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9759, kappa: 0.7587, kb_relative_information_score: 2074.8053, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9756, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.4024, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.5937, scimark_benchmark: 1873.4078, usercpu_time_millis: 19.054, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 18.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9803, kappa: 0.7972, kb_relative_information_score: 2353.0111, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9806, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.3671, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.5392, scimark_benchmark: 1869.1029, usercpu_time_millis: 30.517, usercpu_time_millis_testing: 1.905, usercpu_time_millis_training: 28.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9816, kappa: 0.8119, kb_relative_information_score: 2853.6538, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9817, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.3123, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.5042, scimark_benchmark: 1870.8644, usercpu_time_millis: 28.843, usercpu_time_millis_testing: 1.952, usercpu_time_millis_training: 26.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9198, kb_relative_information_score: -1768.7521, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9583, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.9646, scimark_benchmark: 1872.8797, usercpu_time_millis: 10.537, usercpu_time_millis_testing: 1.109, usercpu_time_millis_training: 9.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9698, kappa: 0.6825, kb_relative_information_score: 1750.4544, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.97, predictive_accuracy: 0.9721, prior_entropy: 0.3037, recall: 0.9721, relative_absolute_error: 0.4804, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.6201, scimark_benchmark: 1755.5895, usercpu_time_millis: 16.86, usercpu_time_millis_testing: 1.028, usercpu_time_millis_training: 15.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9704, kappa: 0.6783, kb_relative_information_score: 1948.6056, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9731, predictive_accuracy: 0.9738, prior_entropy: 0.3037, recall: 0.9738, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.134, root_relative_squared_error: 0.5932, scimark_benchmark: 1867.9854, usercpu_time_millis: 5.437, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 5.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9692, kappa: 0.6714, kb_relative_information_score: 1736.9648, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9702, predictive_accuracy: 0.9721, prior_entropy: 0.3037, recall: 0.9721, relative_absolute_error: 0.4825, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.614, scimark_benchmark: 1866.2237, usercpu_time_millis: 27.812, usercpu_time_millis_testing: 1.997, usercpu_time_millis_training: 25.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9692, kappa: 0.6636, kb_relative_information_score: 1930.0449, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9724, predictive_accuracy: 0.9729, prior_entropy: 0.3037, recall: 0.9729, relative_absolute_error: 0.4868, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.6039, scimark_benchmark: 1863.8838, usercpu_time_millis: 23.006, usercpu_time_millis_testing: 2.11, usercpu_time_millis_training: 20.896,
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: 0.9833, f_measure: 0.9762, kappa: 0.7631, kb_relative_information_score: 2108.7061, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9759, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.3969, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.5939, scimark_benchmark: 1870.4545, usercpu_time_millis: 6.168, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 5.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9832, kappa: 0.8319, kb_relative_information_score: 3014.2584, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.983, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2544, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.4796, scimark_benchmark: 1869.4196, usercpu_time_millis: 28.568, usercpu_time_millis_testing: 1.74, usercpu_time_millis_training: 26.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9836, kappa: 0.8361, kb_relative_information_score: 2987.3007, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9834, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2596, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.4801, scimark_benchmark: 1849.408, usercpu_time_millis: 29.299, usercpu_time_millis_testing: 1.701, usercpu_time_millis_training: 27.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.97, kappa: 0.6832, kb_relative_information_score: 1200.2655, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9705, predictive_accuracy: 0.9725, prior_entropy: 0.3037, recall: 0.9725, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.6718, scimark_benchmark: 1751.0103, usercpu_time_millis: 16.249, usercpu_time_millis_testing: 0.934, usercpu_time_millis_training: 15.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9808, kappa: 0.8025, kb_relative_information_score: 2430.4967, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9811, predictive_accuracy: 0.9818, prior_entropy: 0.3037, recall: 0.9818, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.5352, scimark_benchmark: 1873.4078, usercpu_time_millis: 6.409, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 6.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9795, kappa: 0.8036, kb_relative_information_score: 2723.0209, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9801, predictive_accuracy: 0.9791, prior_entropy: 0.3037, recall: 0.9791, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.5576, scimark_benchmark: 1863.3902, usercpu_time_millis: 41.363, usercpu_time_millis_testing: 1.354, usercpu_time_millis_training: 40.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9756, kappa: 0.7563, kb_relative_information_score: 2140.1602, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9753, predictive_accuracy: 0.976, prior_entropy: 0.3037, recall: 0.976, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.5935, scimark_benchmark: 1876.2965, usercpu_time_millis: 9.756, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 9.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9727, kappa: 0.7172, kb_relative_information_score: 1896.8145, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9726, predictive_accuracy: 0.9744, prior_entropy: 0.3037, recall: 0.9744, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.5928, scimark_benchmark: 1877.7992, usercpu_time_millis: 17.141, usercpu_time_millis_testing: 1.062, usercpu_time_millis_training: 16.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9809, kappa: 0.8049, kb_relative_information_score: 2835.6795, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.981, predictive_accuracy: 0.9818, prior_entropy: 0.3037, recall: 0.9818, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.114, root_relative_squared_error: 0.5046, scimark_benchmark: 1874.977, usercpu_time_millis: 6.673, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 6.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9815, kappa: 0.8123, kb_relative_information_score: 2836.4632, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9815, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.2958, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1121, root_relative_squared_error: 0.4961, scimark_benchmark: 1863.7397, usercpu_time_millis: 27.065, usercpu_time_millis_testing: 1.844, usercpu_time_millis_training: 25.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.9198, kb_relative_information_score: -2481.0662, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9753, scimark_benchmark: 1874.4489, usercpu_time_millis: 7.366, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 6.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.9198, kb_relative_information_score: -3172.5661, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.9022, scimark_benchmark: 1872.4216, usercpu_time_millis: 5.005, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 4.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.9198, kb_relative_information_score: 1.9781, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1867.5361, usercpu_time_millis: 6.042, usercpu_time_millis_testing: 0.896, usercpu_time_millis_training: 5.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.9198, kb_relative_information_score: -0.3158, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1873.4078, usercpu_time_millis: 7.1, usercpu_time_millis_testing: 0.957, usercpu_time_millis_training: 6.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.9692, kappa: 0.686, kb_relative_information_score: 901.6645, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9686, predictive_accuracy: 0.9704, prior_entropy: 0.3037, recall: 0.9704, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.6939, scimark_benchmark: 1855.2567, usercpu_time_millis: 45.048, usercpu_time_millis_testing: 1.702, usercpu_time_millis_training: 43.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9694, kappa: 0.6667, kb_relative_information_score: 2033.6446, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9721, predictive_accuracy: 0.9729, prior_entropy: 0.3037, recall: 0.9729, relative_absolute_error: 0.4706, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.5948, scimark_benchmark: 1874.977, usercpu_time_millis: 15.819, usercpu_time_millis_testing: 1.413, usercpu_time_millis_training: 14.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 5.1257, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1872.9496, usercpu_time_millis: 5.567, usercpu_time_millis_testing: 0.946, usercpu_time_millis_training: 4.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9749, kappa: 0.739, kb_relative_information_score: 1991.5919, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.975, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.5854, scimark_benchmark: 1865.1205, usercpu_time_millis: 34.007, usercpu_time_millis_testing: 1.911, usercpu_time_millis_training: 32.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.967, kappa: 0.6381, kb_relative_information_score: 1767.9724, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9705, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.6304, scimark_benchmark: 1767.9327, usercpu_time_millis: 13.06, usercpu_time_millis_testing: 1.232, usercpu_time_millis_training: 11.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9545, kappa: 0.4759, kb_relative_information_score: 1368.9333, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9643, predictive_accuracy: 0.9634, prior_entropy: 0.3037, recall: 0.9634, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.7046, scimark_benchmark: 1870.8547, usercpu_time_millis: 14.325, usercpu_time_millis_testing: 1.804, usercpu_time_millis_training: 12.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9835, kappa: 0.8329, kb_relative_information_score: 2907.0236, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2891, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.4867, scimark_benchmark: 1870.1619, usercpu_time_millis: 12.857, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 12.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9837, kappa: 0.838, kb_relative_information_score: 3104.8624, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2328, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.4789, scimark_benchmark: 1857.1406, usercpu_time_millis: 13.439, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 12.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9828, kappa: 0.831, kb_relative_information_score: 2977.9966, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9828, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.507, scimark_benchmark: 1866.1582, usercpu_time_millis: 47.428, usercpu_time_millis_testing: 1.941, usercpu_time_millis_training: 45.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9675, kappa: 0.6433, kb_relative_information_score: 1934.9886, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9711, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.6124, scimark_benchmark: 1877.8658, usercpu_time_millis: 9.17, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 8.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9619, kappa: 0.573, kb_relative_information_score: 1078.3234, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9672, predictive_accuracy: 0.9678, prior_entropy: 0.3037, recall: 0.9678, relative_absolute_error: 0.6062, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.156, root_relative_squared_error: 0.6907, scimark_benchmark: 1861.3749, usercpu_time_millis: 6.84, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 6.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.9198, kb_relative_information_score: 3.7483, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1876.7581, usercpu_time_millis: 2.534, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 2.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9775, kappa: 0.7805, kb_relative_information_score: 2236.9244, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9776, predictive_accuracy: 0.9775, prior_entropy: 0.3037, recall: 0.9775, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.5894, scimark_benchmark: 1869.1727, usercpu_time_millis: 12.49, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 12.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9198, kb_relative_information_score: 5.1779, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1860.4015, usercpu_time_millis: 0.939, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9803, kappa: 0.7964, kb_relative_information_score: 2725.5416, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9806, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.5151, scimark_benchmark: 1857.1406, usercpu_time_millis: 37.678, usercpu_time_millis_testing: 3.135, usercpu_time_millis_training: 34.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9198, kb_relative_information_score: -562.807, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.8584, scimark_benchmark: 1872.9496, usercpu_time_millis: 12.188, usercpu_time_millis_testing: 1.229, usercpu_time_millis_training: 10.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 2.3731, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1873.9908, usercpu_time_millis: 7.9, usercpu_time_millis_testing: 1.096, usercpu_time_millis_training: 6.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9827, kappa: 0.8242, kb_relative_information_score: 2906.17, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9826, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2889, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.4892, scimark_benchmark: 1876.6882, usercpu_time_millis: 30.608, usercpu_time_millis_testing: 1.965, usercpu_time_millis_training: 28.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9718, kappa: 0.6958, kb_relative_information_score: 2198.1509, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9741, predictive_accuracy: 0.9748, prior_entropy: 0.3037, recall: 0.9748, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.5823, scimark_benchmark: 1869.1727, usercpu_time_millis: 13.195, usercpu_time_millis_testing: 1.15, usercpu_time_millis_training: 12.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9198, kb_relative_information_score: -300.7984, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.8342, scimark_benchmark: 1864.8991, usercpu_time_millis: 6.573, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.9198, kb_relative_information_score: -23.2259, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1875.7685, usercpu_time_millis: 2.012, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 1.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.969, kappa: 0.6683, kb_relative_information_score: 1340.8548, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9699, predictive_accuracy: 0.9719, prior_entropy: 0.3037, recall: 0.9719, relative_absolute_error: 0.5171, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.149, root_relative_squared_error: 0.6596, scimark_benchmark: 1874.5188, usercpu_time_millis: 8.122, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 7.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.957, kappa: 0.5083, kb_relative_information_score: 1171.4273, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9654, predictive_accuracy: 0.9649, prior_entropy: 0.3037, recall: 0.9649, relative_absolute_error: 0.6177, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.7018, scimark_benchmark: 1876.2965, usercpu_time_millis: 7.953, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 7.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.9198, kb_relative_information_score: 4.5356, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1873.4805, usercpu_time_millis: 3.965, usercpu_time_millis_testing: 0.647, usercpu_time_millis_training: 3.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.9198, kb_relative_information_score: -4480.0938, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9228, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.9464, scimark_benchmark: 1856.8635, usercpu_time_millis: 18.685, usercpu_time_millis_testing: 0.941, usercpu_time_millis_training: 17.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9845, kappa: 0.8463, kb_relative_information_score: 3086.5357, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9844, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2347, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.4789, scimark_benchmark: 1876.7581, usercpu_time_millis: 6.626, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 6.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9691, kappa: 0.6634, kb_relative_information_score: 1989.9417, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9719, predictive_accuracy: 0.9727, prior_entropy: 0.3037, recall: 0.9727, relative_absolute_error: 0.4709, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.598, scimark_benchmark: 1860.3388, usercpu_time_millis: 32.286, usercpu_time_millis_testing: 3.193, usercpu_time_millis_training: 29.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9198, kb_relative_information_score: -621.1728, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.7831, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.8218, scimark_benchmark: 1872.8797, usercpu_time_millis: 10.762, usercpu_time_millis_testing: 1.139, usercpu_time_millis_training: 9.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9709, kappa: 0.7043, kb_relative_information_score: 1986.8331, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9703, predictive_accuracy: 0.9719, prior_entropy: 0.3037, recall: 0.9719, relative_absolute_error: 0.4409, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.14, root_relative_squared_error: 0.6198, scimark_benchmark: 1868.1832, usercpu_time_millis: 38.347, usercpu_time_millis_testing: 1.683, usercpu_time_millis_training: 36.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9815, kappa: 0.8116, kb_relative_information_score: 2862.1299, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9815, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.492, scimark_benchmark: 1764.39, usercpu_time_millis: 10.598, usercpu_time_millis_testing: 0.628, usercpu_time_millis_training: 9.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9782, kappa: 0.7709, kb_relative_information_score: 2580.6945, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.979, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.5339, scimark_benchmark: 1875.1214, usercpu_time_millis: 16.825, usercpu_time_millis_testing: 1.39, usercpu_time_millis_training: 15.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9824, kappa: 0.821, kb_relative_information_score: 2877.0013, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9824, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.111, root_relative_squared_error: 0.4915, scimark_benchmark: 1863.0597, usercpu_time_millis: 7.256, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 6.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9719, kappa: 0.6985, kb_relative_information_score: 2277.1471, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9739, predictive_accuracy: 0.9748, prior_entropy: 0.3037, recall: 0.9748, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.129, root_relative_squared_error: 0.5713, scimark_benchmark: 1869.6309, usercpu_time_millis: 8.484, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 7.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.9198, kb_relative_information_score: -1744.1121, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.972, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9766, scimark_benchmark: 1760.04, usercpu_time_millis: 9.31, usercpu_time_millis_testing: 0.901, usercpu_time_millis_training: 8.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9472, kappa: 0.3793, kb_relative_information_score: 456.817, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9601, predictive_accuracy: 0.9591, prior_entropy: 0.3037, recall: 0.9591, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.7475, scimark_benchmark: 1877.2162, usercpu_time_millis: 0.984, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 0.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9795, kappa: 0.7882, kb_relative_information_score: 2704.376, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9797, predictive_accuracy: 0.9806, prior_entropy: 0.3037, recall: 0.9806, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.5131, scimark_benchmark: 1872.8797, usercpu_time_millis: 11.302, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 10.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9198, kb_relative_information_score: -0.6323, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1869.1727, usercpu_time_millis: 5.108, usercpu_time_millis_testing: 0.661, usercpu_time_millis_training: 4.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9817, kappa: 0.8152, kb_relative_information_score: 2413.2081, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9815, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.5335, scimark_benchmark: 1842.8155, usercpu_time_millis: 23.424, usercpu_time_millis_testing: 1.226, usercpu_time_millis_training: 22.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9304, kappa: 0.1483, kb_relative_information_score: -190.4731, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9531, predictive_accuracy: 0.9506, prior_entropy: 0.3037, recall: 0.9506, relative_absolute_error: 0.7345, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.787, scimark_benchmark: 1862.932, usercpu_time_millis: 18.717, usercpu_time_millis_testing: 1.473, usercpu_time_millis_training: 17.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.9198, kb_relative_information_score: -2524.1311, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.9745, scimark_benchmark: 1877.2162, usercpu_time_millis: 1.265, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 1.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.9198, kb_relative_information_score: -1487.1988, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9782, scimark_benchmark: 1872.4881, usercpu_time_millis: 9.794, usercpu_time_millis_testing: 1.085, usercpu_time_millis_training: 8.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9742, kappa: 0.7238, kb_relative_information_score: 2322.2895, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.976, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1287, root_relative_squared_error: 0.5699, scimark_benchmark: 1852.9397, usercpu_time_millis: 22.534, usercpu_time_millis_testing: 2.302, usercpu_time_millis_training: 20.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.9198, kb_relative_information_score: 4.4711, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1872.9496, usercpu_time_millis: 1.64, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 1.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.9198, kb_relative_information_score: -965.8454, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9784, scimark_benchmark: 1873.4078, usercpu_time_millis: 9.012, usercpu_time_millis_testing: 1.033, usercpu_time_millis_training: 7.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9821, kappa: 0.8188, kb_relative_information_score: 2874.3561, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.982, predictive_accuracy: 0.9826, prior_entropy: 0.3037, recall: 0.9826, relative_absolute_error: 0.2848, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4897, scimark_benchmark: 1865.7381, usercpu_time_millis: 31.809, usercpu_time_millis_testing: 2.074, usercpu_time_millis_training: 29.735,

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