OpenML
Supervised Classification on spambase

Supervised Classification on spambase

Task 145979 Supervised Classification spambase 58350 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

58350 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: 0.9777, f_measure: 0.937, kappa: 0.8676, kb_relative_information_score: 3641.9939, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9372, predictive_accuracy: 0.9372, prior_entropy: 0.9674, recall: 0.9372, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.222, root_relative_squared_error: 0.4544, scimark_benchmark: 1735.1328, usercpu_time_millis: 22.842, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 22.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9308, kappa: 0.8544, kb_relative_information_score: 2652.3351, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9319, predictive_accuracy: 0.9313, prior_entropy: 0.9674, recall: 0.9313, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.279, root_relative_squared_error: 0.571, scimark_benchmark: 1738.2064, usercpu_time_millis: 15.342, usercpu_time_millis_testing: 1.687, usercpu_time_millis_training: 13.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9464, kappa: 0.8875, kb_relative_information_score: 3696.9578, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9465, predictive_accuracy: 0.9465, prior_entropy: 0.9674, recall: 0.9465, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4232, scimark_benchmark: 1727.9675, usercpu_time_millis: 27.35, usercpu_time_millis_testing: 0.481, usercpu_time_millis_training: 26.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9206, kappa: 0.8327, kb_relative_information_score: 2935.2484, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9215, predictive_accuracy: 0.9211, prior_entropy: 0.9674, recall: 0.9211, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5527, scimark_benchmark: 1726.9824, usercpu_time_millis: 7.176, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 6.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9352, kappa: 0.8638, kb_relative_information_score: 3579.5203, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9355, predictive_accuracy: 0.9354, prior_entropy: 0.9674, recall: 0.9354, relative_absolute_error: 0.2426, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.4594, scimark_benchmark: 1724.8648, usercpu_time_millis: 3.57, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 3.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.876, kappa: 0.7395, kb_relative_information_score: 2158.973, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8761, predictive_accuracy: 0.8765, prior_entropy: 0.9674, recall: 0.8765, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6751, scimark_benchmark: 1727.1622, usercpu_time_millis: 2.256, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 2.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9204, kappa: 0.8325, kb_relative_information_score: 3319.3656, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9211, predictive_accuracy: 0.9209, prior_entropy: 0.9674, recall: 0.9209, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.506, scimark_benchmark: 1813.6592, usercpu_time_millis: 192.848, usercpu_time_millis_testing: 2.565, usercpu_time_millis_training: 190.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9458, kappa: 0.8863, kb_relative_information_score: 3747.9947, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9458, predictive_accuracy: 0.9459, prior_entropy: 0.9674, recall: 0.9459, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4238, scimark_benchmark: 1883.981, usercpu_time_millis: 95.729, usercpu_time_millis_testing: 1.088, usercpu_time_millis_training: 94.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.8192, kappa: 0.6187, kb_relative_information_score: 1221.118, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8608, predictive_accuracy: 0.8307, prior_entropy: 0.9674, recall: 0.8307, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8082, scimark_benchmark: 2009.4659, usercpu_time_millis: 1.437, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 1.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9393, kappa: 0.8725, kb_relative_information_score: 3498.2, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9397, predictive_accuracy: 0.9396, prior_entropy: 0.9674, recall: 0.9396, relative_absolute_error: 0.2674, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.451, scimark_benchmark: 1890.7466, usercpu_time_millis: 9.257, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 8.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9305, kappa: 0.8537, kb_relative_information_score: 3406.5085, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9312, predictive_accuracy: 0.9309, prior_entropy: 0.9674, recall: 0.9309, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.4888, scimark_benchmark: 1963.7155, usercpu_time_millis: 21.322, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 20.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9347, kappa: 0.8628, kb_relative_information_score: 3354.2689, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9351, predictive_accuracy: 0.935, prior_entropy: 0.9674, recall: 0.935, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.4714, scimark_benchmark: 1797.239, usercpu_time_millis: 5.206, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 4.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9163, kappa: 0.8238, kb_relative_information_score: 3132.0635, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9175, predictive_accuracy: 0.917, prior_entropy: 0.9674, recall: 0.917, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.5445, scimark_benchmark: 2122.6765, usercpu_time_millis: 143.738, usercpu_time_millis_testing: 1.499, usercpu_time_millis_training: 142.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9462, kappa: 0.887, kb_relative_information_score: 3667.6076, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9463, predictive_accuracy: 0.9463, prior_entropy: 0.9674, recall: 0.9463, relative_absolute_error: 0.2245, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4251, scimark_benchmark: 1840.7617, usercpu_time_millis: 112.692, usercpu_time_millis_testing: 3.204, usercpu_time_millis_training: 109.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9356, kappa: 0.8645, kb_relative_information_score: 3525.7217, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.9674, recall: 0.9359, relative_absolute_error: 0.2569, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.4612, scimark_benchmark: 1836.2249, usercpu_time_millis: 42.033, usercpu_time_millis_testing: 0.754, usercpu_time_millis_training: 41.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.8103, kappa: 0.5985, kb_relative_information_score: 1774.1808, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8153, predictive_accuracy: 0.8144, prior_entropy: 0.9674, recall: 0.8144, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.746, scimark_benchmark: 1720.2898, usercpu_time_millis: 13.32, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 12.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.865, kappa: 0.714, kb_relative_information_score: 1735.6985, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8799, predictive_accuracy: 0.8694, prior_entropy: 0.9674, recall: 0.8694, relative_absolute_error: 0.6806, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7318, scimark_benchmark: 1736.7382, usercpu_time_millis: 8.276, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 7.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4573, kb_relative_information_score: 0.2539, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1689.772, usercpu_time_millis: 4.458, usercpu_time_millis_testing: 0.689, usercpu_time_millis_training: 3.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8879, kappa: 0.7648, kb_relative_information_score: 3479.1477, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8878, predictive_accuracy: 0.8881, prior_entropy: 0.9674, recall: 0.8881, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6613, scimark_benchmark: 1828.0868, usercpu_time_millis: 0.367, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.31,
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: 0.983, f_measure: 0.9444, kappa: 0.8832, kb_relative_information_score: 3591.3328, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9446, predictive_accuracy: 0.9446, prior_entropy: 0.9674, recall: 0.9446, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4342, scimark_benchmark: 2104.7264, usercpu_time_millis: 82.836, usercpu_time_millis_testing: 2.04, usercpu_time_millis_training: 80.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.923, kappa: 0.8379, kb_relative_information_score: 3297.6793, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9238, predictive_accuracy: 0.9235, prior_entropy: 0.9674, recall: 0.9235, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.249, root_relative_squared_error: 0.5096, scimark_benchmark: 1847.3406, usercpu_time_millis: 57.584, usercpu_time_millis_testing: 1.275, usercpu_time_millis_training: 56.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9219, kappa: 0.8356, kb_relative_information_score: 3205.051, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9227, predictive_accuracy: 0.9224, prior_entropy: 0.9674, recall: 0.9224, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.5226, scimark_benchmark: 1889.0339, usercpu_time_millis: 42.363, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 41.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9382, kappa: 0.8701, kb_relative_information_score: 3329.9727, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9387, predictive_accuracy: 0.9385, prior_entropy: 0.9674, recall: 0.9385, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.229, root_relative_squared_error: 0.4687, scimark_benchmark: 1889.5829, usercpu_time_millis: 38.115, usercpu_time_millis_testing: 1.907, usercpu_time_millis_training: 36.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9356, kappa: 0.8647, kb_relative_information_score: 3513.0353, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.936, predictive_accuracy: 0.9359, prior_entropy: 0.9674, recall: 0.9359, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.4611, scimark_benchmark: 1842.1882, usercpu_time_millis: 34.243, usercpu_time_millis_testing: 0.991, usercpu_time_millis_training: 33.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9497, kappa: 0.8945, kb_relative_information_score: 3807.3488, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9497, predictive_accuracy: 0.9498, prior_entropy: 0.9674, recall: 0.9498, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4109, scimark_benchmark: 1845.7835, usercpu_time_millis: 34.899, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 34.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9323, kappa: 0.8577, kb_relative_information_score: 3500.6738, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9327, predictive_accuracy: 0.9326, prior_entropy: 0.9674, recall: 0.9326, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.4651, scimark_benchmark: 1839.2774, usercpu_time_millis: 26.944, usercpu_time_millis_testing: 0.693, usercpu_time_millis_training: 26.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9391, kappa: 0.8721, kb_relative_information_score: 3523.8522, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 0.9674, recall: 0.9394, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.4513, scimark_benchmark: 1747.5163, usercpu_time_millis: 23.896, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 23.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9442, kappa: 0.8828, kb_relative_information_score: 3661.149, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9443, predictive_accuracy: 0.9444, prior_entropy: 0.9674, recall: 0.9444, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4344, scimark_benchmark: 1836.2249, usercpu_time_millis: 22.578, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 22.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.908, kappa: 0.8069, kb_relative_information_score: 2363.9445, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.908, predictive_accuracy: 0.9083, prior_entropy: 0.9674, recall: 0.9083, relative_absolute_error: 0.5411, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6309, scimark_benchmark: 1748.3756, usercpu_time_millis: 12.782, usercpu_time_millis_testing: 0.871, usercpu_time_millis_training: 11.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.842, kappa: 0.6658, kb_relative_information_score: 1384.2872, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8726, predictive_accuracy: 0.85, prior_entropy: 0.9674, recall: 0.85, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7809, scimark_benchmark: 1843.2356, usercpu_time_millis: 7.949, usercpu_time_millis_testing: 1.153, usercpu_time_millis_training: 6.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9217, kappa: 0.8352, kb_relative_information_score: 3057.1629, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9225, predictive_accuracy: 0.9222, prior_entropy: 0.9674, recall: 0.9222, relative_absolute_error: 0.3699, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.5476, scimark_benchmark: 1838.7625, usercpu_time_millis: 7.752, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 7.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9468, kappa: 0.8882, kb_relative_information_score: 3571.2809, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9471, predictive_accuracy: 0.947, prior_entropy: 0.9674, recall: 0.947, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4301, scimark_benchmark: 1891.1791, usercpu_time_millis: 5.329, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 5.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.4573, kb_relative_information_score: -0.0864, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1737.6429, usercpu_time_millis: 3.289, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 2.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8901, kappa: 0.7678, kb_relative_information_score: 1992.2539, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.895, predictive_accuracy: 0.892, prior_entropy: 0.9674, recall: 0.892, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.6874, scimark_benchmark: 1849.9303, usercpu_time_millis: 3.551, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 3.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.4573, kb_relative_information_score: -0.1468, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 2111.4064, usercpu_time_millis: 2.675, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 2.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9433, kappa: 0.8811, kb_relative_information_score: 3659.3052, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9434, predictive_accuracy: 0.9435, prior_entropy: 0.9674, recall: 0.9435, relative_absolute_error: 0.2247, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.436, scimark_benchmark: 1736.9221, usercpu_time_millis: 3.813, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 3.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.932, kappa: 0.8571, kb_relative_information_score: 3495.6182, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9326, predictive_accuracy: 0.9324, prior_entropy: 0.9674, recall: 0.9324, relative_absolute_error: 0.2621, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4753, scimark_benchmark: 1836.2249, usercpu_time_millis: 188.028, usercpu_time_millis_testing: 2.239, usercpu_time_millis_training: 185.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 3456.8466, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9292, predictive_accuracy: 0.9291, prior_entropy: 0.9674, recall: 0.9291, relative_absolute_error: 0.27, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.4866, scimark_benchmark: 1752.8691, usercpu_time_millis: 147.452, usercpu_time_millis_testing: 1.356, usercpu_time_millis_training: 146.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9492, kappa: 0.8935, kb_relative_information_score: 3692.3009, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9493, predictive_accuracy: 0.9494, prior_entropy: 0.9674, recall: 0.9494, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4115, scimark_benchmark: 1837.7149, usercpu_time_millis: 106.363, usercpu_time_millis_testing: 3.249, usercpu_time_millis_training: 103.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9331, kappa: 0.8593, kb_relative_information_score: 3482.5297, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9338, predictive_accuracy: 0.9335, prior_entropy: 0.9674, recall: 0.9335, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4754, scimark_benchmark: 1842.0492, usercpu_time_millis: 96.616, usercpu_time_millis_testing: 2.249, usercpu_time_millis_training: 94.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9323, kappa: 0.8575, kb_relative_information_score: 3391.6213, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9329, predictive_accuracy: 0.9326, prior_entropy: 0.9674, recall: 0.9326, relative_absolute_error: 0.2902, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.4854, scimark_benchmark: 1831.6625, usercpu_time_millis: 92.071, usercpu_time_millis_testing: 2.591, usercpu_time_millis_training: 89.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9334, kappa: 0.8598, kb_relative_information_score: 3527.7606, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9339, predictive_accuracy: 0.9337, prior_entropy: 0.9674, recall: 0.9337, relative_absolute_error: 0.2548, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.4681, scimark_benchmark: 1847.8629, usercpu_time_millis: 77.186, usercpu_time_millis_testing: 1.007, usercpu_time_millis_training: 76.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9446, kappa: 0.8836, kb_relative_information_score: 3585.1432, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9449, predictive_accuracy: 0.9448, prior_entropy: 0.9674, recall: 0.9448, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4309, scimark_benchmark: 1849.2344, usercpu_time_millis: 35.696, usercpu_time_millis_testing: 1.7, usercpu_time_millis_training: 33.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9193, kappa: 0.8299, kb_relative_information_score: 3058.4207, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9209, predictive_accuracy: 0.92, prior_entropy: 0.9674, recall: 0.92, relative_absolute_error: 0.3653, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.5548, scimark_benchmark: 1843.7454, usercpu_time_millis: 60.067, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 59.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9462, kappa: 0.8871, kb_relative_information_score: 3684.5423, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9463, predictive_accuracy: 0.9463, prior_entropy: 0.9674, recall: 0.9463, relative_absolute_error: 0.2207, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4207, scimark_benchmark: 1846.3057, usercpu_time_millis: 21.24, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 20.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9021, kappa: 0.7948, kb_relative_information_score: 2630.4422, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9021, predictive_accuracy: 0.9022, prior_entropy: 0.9674, recall: 0.9022, relative_absolute_error: 0.4722, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6045, scimark_benchmark: 1761.9632, usercpu_time_millis: 28.977, usercpu_time_millis_testing: 1.027, usercpu_time_millis_training: 27.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.94, kappa: 0.8739, kb_relative_information_score: 3568.6298, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9403, predictive_accuracy: 0.9402, prior_entropy: 0.9674, recall: 0.9402, relative_absolute_error: 0.2483, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4454, scimark_benchmark: 1847.8629, usercpu_time_millis: 11.527, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 11.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.4573, kb_relative_information_score: -0.3445, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1848.8462, usercpu_time_millis: 2.21, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 1.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4573, kb_relative_information_score: -0.4522, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, usercpu_time_millis: 3.41, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 2.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9198, kappa: 0.831, kb_relative_information_score: 3057.4895, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9212, predictive_accuracy: 0.9205, prior_entropy: 0.9674, recall: 0.9205, relative_absolute_error: 0.3673, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.5516, scimark_benchmark: 1729.5879, usercpu_time_millis: 76.825, usercpu_time_millis_testing: 1.315, usercpu_time_millis_training: 75.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9201, kappa: 0.8316, kb_relative_information_score: 3046.9334, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9212, predictive_accuracy: 0.9207, prior_entropy: 0.9674, recall: 0.9207, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.5445, scimark_benchmark: 2127.7274, usercpu_time_millis: 68.195, usercpu_time_millis_testing: 1.052, usercpu_time_millis_training: 67.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9477, kappa: 0.8902, kb_relative_information_score: 3663.9662, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.9674, recall: 0.9478, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4187, scimark_benchmark: 2131.008, usercpu_time_millis: 13.873, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 13.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4573, kb_relative_information_score: -1.021, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1739.1814, usercpu_time_millis: 1.308, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 1.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9391, kappa: 0.8721, kb_relative_information_score: 3625.0563, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 0.9674, recall: 0.9394, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4444, scimark_benchmark: 1745.8891, usercpu_time_millis: 197.997, usercpu_time_millis_testing: 2.829, usercpu_time_millis_training: 195.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9467, kappa: 0.8882, kb_relative_information_score: 3785.6938, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9467, predictive_accuracy: 0.9468, prior_entropy: 0.9674, recall: 0.9468, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4237, scimark_benchmark: 1761.6666, usercpu_time_millis: 161.751, usercpu_time_millis_testing: 1.434, usercpu_time_millis_training: 160.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9364, kappa: 0.8663, kb_relative_information_score: 3549.1439, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.937, predictive_accuracy: 0.9368, prior_entropy: 0.9674, recall: 0.9368, relative_absolute_error: 0.2516, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4576, scimark_benchmark: 1775.5537, usercpu_time_millis: 83.866, usercpu_time_millis_testing: 1.932, usercpu_time_millis_training: 81.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9437, kappa: 0.8818, kb_relative_information_score: 3642.1591, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.944, predictive_accuracy: 0.9439, prior_entropy: 0.9674, recall: 0.9439, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4331, scimark_benchmark: 2102.6079, usercpu_time_millis: 81.257, usercpu_time_millis_testing: 1.326, usercpu_time_millis_training: 79.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9358, kappa: 0.8651, kb_relative_information_score: 3499.0643, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9362, predictive_accuracy: 0.9361, prior_entropy: 0.9674, recall: 0.9361, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.4612, scimark_benchmark: 1777.6762, usercpu_time_millis: 78.155, usercpu_time_millis_testing: 2.562, usercpu_time_millis_training: 75.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9298, kappa: 0.8523, kb_relative_information_score: 3299.5685, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9305, predictive_accuracy: 0.9302, prior_entropy: 0.9674, recall: 0.9302, relative_absolute_error: 0.3128, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.4969, scimark_benchmark: 1760.8704, usercpu_time_millis: 64.777, usercpu_time_millis_testing: 1.307, usercpu_time_millis_training: 63.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9442, kappa: 0.8829, kb_relative_information_score: 3688.8292, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9443, predictive_accuracy: 0.9444, prior_entropy: 0.9674, recall: 0.9444, relative_absolute_error: 0.2166, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4356, scimark_benchmark: 1767.7758, usercpu_time_millis: 47.011, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 46.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8799, kappa: 0.7465, kb_relative_information_score: 2065.6633, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8828, predictive_accuracy: 0.8815, prior_entropy: 0.9674, recall: 0.8815, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6852, scimark_benchmark: 1778.6127, usercpu_time_millis: 16.42, usercpu_time_millis_testing: 1.006, usercpu_time_millis_training: 15.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9351, kappa: 0.8637, kb_relative_information_score: 3501.0688, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9356, predictive_accuracy: 0.9354, prior_entropy: 0.9674, recall: 0.9354, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4655, scimark_benchmark: 1743.4121, usercpu_time_millis: 14.492, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 14.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8707, kappa: 0.7266, kb_relative_information_score: 2028.2465, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8751, predictive_accuracy: 0.8729, prior_entropy: 0.9674, recall: 0.8729, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6939, scimark_benchmark: 2097.5753, usercpu_time_millis: 5.949, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 5.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9259, kappa: 0.8441, kb_relative_information_score: 3376.4947, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9265, predictive_accuracy: 0.9263, prior_entropy: 0.9674, recall: 0.9263, relative_absolute_error: 0.2913, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.4989, scimark_benchmark: 1778.6127, usercpu_time_millis: 3.261, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 3.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9092, kappa: 0.8084, kb_relative_information_score: 2097.6021, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9117, predictive_accuracy: 0.9102, prior_entropy: 0.9674, recall: 0.9102, relative_absolute_error: 0.6071, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.6641, scimark_benchmark: 1769.2714, usercpu_time_millis: 3.053, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 2.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.892, kappa: 0.7749, kb_relative_information_score: 2498.3852, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8931, predictive_accuracy: 0.8915, prior_entropy: 0.9674, recall: 0.8915, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6288, scimark_benchmark: 2118.3198, usercpu_time_millis: 0.982, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9416, kappa: 0.8775, kb_relative_information_score: 3693.9581, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9417, predictive_accuracy: 0.9418, prior_entropy: 0.9674, recall: 0.9418, relative_absolute_error: 0.2141, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4367, scimark_benchmark: 1830.997, usercpu_time_millis: 232.44, usercpu_time_millis_testing: 2.769, usercpu_time_millis_training: 229.671,
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: 0.9814, f_measure: 0.9438, kappa: 0.8819, kb_relative_information_score: 3679.0556, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9439, predictive_accuracy: 0.9439, prior_entropy: 0.9674, recall: 0.9439, relative_absolute_error: 0.2202, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4313, scimark_benchmark: 1726.373, usercpu_time_millis: 166.47, usercpu_time_millis_testing: 2.523, usercpu_time_millis_training: 163.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9483, kappa: 0.8915, kb_relative_information_score: 3585.1008, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9485, predictive_accuracy: 0.9485, prior_entropy: 0.9674, recall: 0.9485, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.423, scimark_benchmark: 1728.4118, usercpu_time_millis: 64.873, usercpu_time_millis_testing: 3.117, usercpu_time_millis_training: 61.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9094, kappa: 0.8095, kb_relative_information_score: 2292.058, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9097, predictive_accuracy: 0.9098, prior_entropy: 0.9674, recall: 0.9098, relative_absolute_error: 0.5594, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.639, scimark_benchmark: 2003.5803, usercpu_time_millis: 11.485, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 10.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4573, kb_relative_information_score: -0.4294, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1998.2823, usercpu_time_millis: 3.587, usercpu_time_millis_testing: 0.628, usercpu_time_millis_training: 2.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9442, kappa: 0.8827, kb_relative_information_score: 3630.863, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9444, predictive_accuracy: 0.9444, prior_entropy: 0.9674, recall: 0.9444, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4337, scimark_benchmark: 1730.3322, usercpu_time_millis: 138.671, usercpu_time_millis_testing: 2.908, usercpu_time_millis_training: 135.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9171, kappa: 0.8255, kb_relative_information_score: 3236.7625, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9179, predictive_accuracy: 0.9176, prior_entropy: 0.9674, recall: 0.9176, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5319, scimark_benchmark: 1860.7893, usercpu_time_millis: 136.586, usercpu_time_millis_testing: 1.26, usercpu_time_millis_training: 135.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9232, kappa: 0.8383, kb_relative_information_score: 3273.7454, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9241, predictive_accuracy: 0.9237, prior_entropy: 0.9674, recall: 0.9237, relative_absolute_error: 0.3175, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.5147, scimark_benchmark: 2125.3623, usercpu_time_millis: 65.409, usercpu_time_millis_testing: 1.197, usercpu_time_millis_training: 64.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9447, kappa: 0.884, kb_relative_information_score: 3739.5064, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9447, predictive_accuracy: 0.9448, prior_entropy: 0.9674, recall: 0.9448, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.4254, scimark_benchmark: 1738.4885, usercpu_time_millis: 59.969, usercpu_time_millis_testing: 0.665, usercpu_time_millis_training: 59.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9373, kappa: 0.8683, kb_relative_information_score: 3293.3188, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9377, predictive_accuracy: 0.9376, prior_entropy: 0.9674, recall: 0.9376, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.4784, scimark_benchmark: 1776.8392, usercpu_time_millis: 57.024, usercpu_time_millis_testing: 5.219, usercpu_time_millis_training: 51.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9305, kappa: 0.8539, kb_relative_information_score: 3286.3006, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.931, predictive_accuracy: 0.9309, prior_entropy: 0.9674, recall: 0.9309, relative_absolute_error: 0.3173, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.501, scimark_benchmark: 1859.3773, usercpu_time_millis: 24.672, usercpu_time_millis_testing: 1.236, usercpu_time_millis_training: 23.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9288, kappa: 0.8502, kb_relative_information_score: 3275.602, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9293, predictive_accuracy: 0.9291, prior_entropy: 0.9674, recall: 0.9291, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.5033, scimark_benchmark: 1778.9557, usercpu_time_millis: 19.41, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 18.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9408, kappa: 0.8758, kb_relative_information_score: 3724.908, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9408, predictive_accuracy: 0.9409, prior_entropy: 0.9674, recall: 0.9409, relative_absolute_error: 0.2052, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.4372, scimark_benchmark: 1860.2341, usercpu_time_millis: 10.859, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 10.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9226, kappa: 0.837, kb_relative_information_score: 3060.0634, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9234, predictive_accuracy: 0.9231, prior_entropy: 0.9674, recall: 0.9231, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.5425, scimark_benchmark: 1731.2217, usercpu_time_millis: 5.199, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 5.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9457, kappa: 0.8861, kb_relative_information_score: 3684.0292, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9459, predictive_accuracy: 0.9459, prior_entropy: 0.9674, recall: 0.9459, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4236, scimark_benchmark: 1745.1173, usercpu_time_millis: 114.504, usercpu_time_millis_testing: 2.338, usercpu_time_millis_training: 112.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9391, kappa: 0.8719, kb_relative_information_score: 3315.8171, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9396, predictive_accuracy: 0.9394, prior_entropy: 0.9674, recall: 0.9394, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.4696, scimark_benchmark: 1760.496, usercpu_time_millis: 23.855, usercpu_time_millis_testing: 1.373, usercpu_time_millis_training: 22.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.847, kappa: 0.6761, kb_relative_information_score: 1611.2576, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8681, predictive_accuracy: 0.8533, prior_entropy: 0.9674, recall: 0.8533, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7506, scimark_benchmark: 1723.9577, usercpu_time_millis: 12.962, usercpu_time_millis_testing: 1.445, usercpu_time_millis_training: 11.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9391, kappa: 0.872, kb_relative_information_score: 3522.5957, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 0.9674, recall: 0.9394, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4503, scimark_benchmark: 1835.6503, usercpu_time_millis: 86.389, usercpu_time_millis_testing: 2.957, usercpu_time_millis_training: 83.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4573, kb_relative_information_score: 0.1868, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1726.222, usercpu_time_millis: 6.679, usercpu_time_millis_testing: 1.052, usercpu_time_millis_training: 5.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9492, kappa: 0.8934, kb_relative_information_score: 3670.7718, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9493, predictive_accuracy: 0.9494, prior_entropy: 0.9674, recall: 0.9494, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4128, scimark_benchmark: 1841.2811, usercpu_time_millis: 49.058, usercpu_time_millis_testing: 1.881, usercpu_time_millis_training: 47.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9013, kappa: 0.7935, kb_relative_information_score: 2654.9521, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9014, predictive_accuracy: 0.9013, prior_entropy: 0.9674, recall: 0.9013, relative_absolute_error: 0.4638, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.297, root_relative_squared_error: 0.6079, scimark_benchmark: 1859.7759, usercpu_time_millis: 2.79, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 2.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9391, kappa: 0.8721, kb_relative_information_score: 3589.2167, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 0.9674, recall: 0.9394, relative_absolute_error: 0.2421, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.4492, scimark_benchmark: 1841.2811, usercpu_time_millis: 16.266, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 15.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.926, kappa: 0.844, kb_relative_information_score: 2470.865, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9273, predictive_accuracy: 0.9265, prior_entropy: 0.9674, recall: 0.9265, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6005, scimark_benchmark: 1836.1651, usercpu_time_millis: 10.619, usercpu_time_millis_testing: 1.265, usercpu_time_millis_training: 9.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.4573, kb_relative_information_score: -0.059, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1840.1791, usercpu_time_millis: 2.046, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 1.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9214, kappa: 0.8346, kb_relative_information_score: 2942.7306, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9223, predictive_accuracy: 0.922, prior_entropy: 0.9674, recall: 0.922, relative_absolute_error: 0.3981, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5584, scimark_benchmark: 1738.4534, usercpu_time_millis: 84.81, usercpu_time_millis_testing: 1.558, usercpu_time_millis_training: 83.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9475, kappa: 0.8897, kb_relative_information_score: 3702.8254, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9476, predictive_accuracy: 0.9476, prior_entropy: 0.9674, recall: 0.9476, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4223, scimark_benchmark: 1841.2811, usercpu_time_millis: 42.645, usercpu_time_millis_testing: 0.882, usercpu_time_millis_training: 41.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9378, kappa: 0.8692, kb_relative_information_score: 3449.7165, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9382, predictive_accuracy: 0.9381, prior_entropy: 0.9674, recall: 0.9381, relative_absolute_error: 0.2796, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4579, scimark_benchmark: 1740.8392, usercpu_time_millis: 18.67, usercpu_time_millis_testing: 0.636, usercpu_time_millis_training: 18.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9336, kappa: 0.8603, kb_relative_information_score: 3043.0736, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9341, predictive_accuracy: 0.9339, prior_entropy: 0.9674, recall: 0.9339, relative_absolute_error: 0.3825, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5178, scimark_benchmark: 1833.6579, usercpu_time_millis: 10.643, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 9.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.4573, kb_relative_information_score: 0.1315, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1840.7617, usercpu_time_millis: 5.662, usercpu_time_millis_testing: 1.039, usercpu_time_millis_training: 4.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.867, kappa: 0.7202, kb_relative_information_score: 2114.0004, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8673, predictive_accuracy: 0.8679, prior_entropy: 0.9674, recall: 0.8679, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.6847, scimark_benchmark: 1710.7231, usercpu_time_millis: 1.057, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9272, kappa: 0.8469, kb_relative_information_score: 3294.3299, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9278, predictive_accuracy: 0.9276, prior_entropy: 0.9674, recall: 0.9276, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.5033, scimark_benchmark: 1829.1182, usercpu_time_millis: 54.206, usercpu_time_millis_testing: 2.039, usercpu_time_millis_training: 52.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4573, kb_relative_information_score: -0.1595, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1843.8403, usercpu_time_millis: 2.815, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 2.388,

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