Task
Supervised Classification on spambase

Supervised Classification on spambase

Task 145979 Supervised Classification spambase 58350 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9204, kappa: 0.833, kb_relative_information_score: 3479.4893, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9205, predictive_accuracy: 0.9207, prior_entropy: 0.9674, recall: 0.9207, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.252, root_relative_squared_error: 0.5158, scimark_benchmark: 1840.2451, usercpu_time_millis: 2.775, usercpu_time_millis_testing: 2.739, usercpu_time_millis_training: 0.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9187, kappa: 0.8288, kb_relative_information_score: 3091.0298, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.92, predictive_accuracy: 0.9194, prior_entropy: 0.9674, recall: 0.9194, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5433, scimark_benchmark: 1845.7835, usercpu_time_millis: 134.529, usercpu_time_millis_testing: 2.379, usercpu_time_millis_training: 132.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8627, kappa: 0.7167, kb_relative_information_score: 2463.5626, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8688, predictive_accuracy: 0.8616, prior_entropy: 0.9674, recall: 0.8616, relative_absolute_error: 0.5004, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6578, scimark_benchmark: 1706.9188, usercpu_time_millis: 1.043, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9125, kappa: 0.8155, kb_relative_information_score: 2214.0319, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9141, predictive_accuracy: 0.9133, prior_entropy: 0.9674, recall: 0.9133, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6464, scimark_benchmark: 1079.7701, usercpu_time_millis: 9.837, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 9.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9221, kappa: 0.8359, kb_relative_information_score: 2449.498, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9231, predictive_accuracy: 0.9226, prior_entropy: 0.9674, recall: 0.9226, relative_absolute_error: 0.5256, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.6082, scimark_benchmark: 1852.9259, usercpu_time_millis: 14.424, usercpu_time_millis_testing: 1.427, usercpu_time_millis_training: 12.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9357, kappa: 0.8648, kb_relative_information_score: 3326.2845, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9359, predictive_accuracy: 0.9359, prior_entropy: 0.9674, recall: 0.9359, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4786, scimark_benchmark: 1835.7111, usercpu_time_millis: 18.003, usercpu_time_millis_testing: 1.495, usercpu_time_millis_training: 16.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9364, kappa: 0.8663, kb_relative_information_score: 3413.8748, mean_absolute_error: 0.1368, 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: 0.2865, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.4702, scimark_benchmark: 1852.0126, usercpu_time_millis: 32.832, usercpu_time_millis_testing: 0.99, usercpu_time_millis_training: 31.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9396, kappa: 0.8733, kb_relative_information_score: 3562.8751, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9397, predictive_accuracy: 0.9398, prior_entropy: 0.9674, recall: 0.9398, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.4484, scimark_benchmark: 1733.7613, usercpu_time_millis: 63.483, usercpu_time_millis_testing: 1.428, usercpu_time_millis_training: 62.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9527, kappa: 0.9008, kb_relative_information_score: 3642.3399, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9528, predictive_accuracy: 0.9528, prior_entropy: 0.9674, recall: 0.9528, relative_absolute_error: 0.2345, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4115, scimark_benchmark: 1720.9465, usercpu_time_millis: 61.501, usercpu_time_millis_testing: 4.35, usercpu_time_millis_training: 57.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.8748, kappa: 0.7403, kb_relative_information_score: 2550.7872, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.878, predictive_accuracy: 0.8739, prior_entropy: 0.9674, recall: 0.8739, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6471, scimark_benchmark: 1703.4579, usercpu_time_millis: 68.371, usercpu_time_millis_testing: 1.325, usercpu_time_millis_training: 67.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.4573, kb_relative_information_score: 0.3301, 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: 1851.3287, usercpu_time_millis: 3.491, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 3.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4573, kb_relative_information_score: -0.5575, 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: 1851.3287, usercpu_time_millis: 4.805, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 4.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9106, kappa: 0.8119, kb_relative_information_score: 3246.9969, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9111, predictive_accuracy: 0.9111, prior_entropy: 0.9674, recall: 0.9111, relative_absolute_error: 0.3157, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.5406, scimark_benchmark: 1734.7321, usercpu_time_millis: 10.717, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 10.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9178, kappa: 0.8268, kb_relative_information_score: 2331.0867, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9192, predictive_accuracy: 0.9185, prior_entropy: 0.9674, recall: 0.9185, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.627, scimark_benchmark: 1732.0988, usercpu_time_millis: 16.871, usercpu_time_millis_testing: 1.587, usercpu_time_millis_training: 15.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9029, kappa: 0.7965, kb_relative_information_score: 2592.6304, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9029, predictive_accuracy: 0.9031, prior_entropy: 0.9674, recall: 0.9031, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6065, scimark_benchmark: 2105.9763, usercpu_time_millis: 21.225, usercpu_time_millis_testing: 1.055, usercpu_time_millis_training: 20.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8979, kappa: 0.7864, kb_relative_information_score: 2605.0524, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.898, predictive_accuracy: 0.8978, prior_entropy: 0.9674, recall: 0.8978, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6178, scimark_benchmark: 1737.9267, usercpu_time_millis: 38.856, usercpu_time_millis_testing: 1.411, usercpu_time_millis_training: 37.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9235, kappa: 0.839, kb_relative_information_score: 3127.2043, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9241, predictive_accuracy: 0.9239, prior_entropy: 0.9674, recall: 0.9239, relative_absolute_error: 0.355, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.259, root_relative_squared_error: 0.5301, scimark_benchmark: 1732.8983, usercpu_time_millis: 48.72, usercpu_time_millis_testing: 2.098, usercpu_time_millis_training: 46.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9232, kappa: 0.8384, kb_relative_information_score: 3258.6472, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.924, predictive_accuracy: 0.9237, prior_entropy: 0.9674, recall: 0.9237, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.5079, scimark_benchmark: 1842.1882, usercpu_time_millis: 62.354, usercpu_time_millis_testing: 1.298, usercpu_time_millis_training: 61.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.925, kappa: 0.8423, kb_relative_information_score: 3335.8768, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9257, predictive_accuracy: 0.9255, prior_entropy: 0.9674, recall: 0.9255, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.4989, scimark_benchmark: 1852.4008, usercpu_time_millis: 91.027, usercpu_time_millis_testing: 1.422, usercpu_time_millis_training: 89.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9171, kappa: 0.8254, kb_relative_information_score: 3222.2708, mean_absolute_error: 0.1553, 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: 0.3252, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5336, scimark_benchmark: 1735.2934, usercpu_time_millis: 106.442, usercpu_time_millis_testing: 1.248, usercpu_time_millis_training: 105.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9314, kappa: 0.8558, kb_relative_information_score: 3457.2736, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9319, predictive_accuracy: 0.9318, prior_entropy: 0.9674, recall: 0.9318, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.235, root_relative_squared_error: 0.4809, scimark_benchmark: 1728.9285, usercpu_time_millis: 121.199, usercpu_time_millis_testing: 1.422, usercpu_time_millis_training: 119.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.4573, kb_relative_information_score: -0.8345, 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: 1076.4983, usercpu_time_millis: 5.04, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 4.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9194, kappa: 0.8304, kb_relative_information_score: 2609.4949, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9199, predictive_accuracy: 0.9198, prior_entropy: 0.9674, recall: 0.9198, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.5891, scimark_benchmark: 1844.5269, usercpu_time_millis: 3.998, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 3.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.4573, kb_relative_information_score: 0.099, 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: 1701.3269, usercpu_time_millis: 3.753, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 2.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9364, kappa: 0.8663, kb_relative_information_score: 3404.7746, mean_absolute_error: 0.1384, 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: 0.2898, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.4692, scimark_benchmark: 1850.9652, usercpu_time_millis: 7.335, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 7.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8978, kappa: 0.786, kb_relative_information_score: 2657.0285, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8978, predictive_accuracy: 0.8978, prior_entropy: 0.9674, recall: 0.8978, relative_absolute_error: 0.4627, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.6116, scimark_benchmark: 1699.5562, usercpu_time_millis: 2.056, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 1.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9351, kappa: 0.8636, kb_relative_information_score: 3260.002, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9357, predictive_accuracy: 0.9354, prior_entropy: 0.9674, recall: 0.9354, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.4899, scimark_benchmark: 1771.7912, usercpu_time_millis: 13.181, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 12.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8461, kappa: 0.6769, kb_relative_information_score: 2187.4721, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8459, predictive_accuracy: 0.8466, prior_entropy: 0.9674, recall: 0.8466, relative_absolute_error: 0.5679, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.6858, scimark_benchmark: 1842.1882, usercpu_time_millis: 25.113, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 23.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9338, kappa: 0.8609, kb_relative_information_score: 3478.0155, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9343, predictive_accuracy: 0.9341, prior_entropy: 0.9674, recall: 0.9341, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4755, scimark_benchmark: 1852.0126, usercpu_time_millis: 31.04, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 30.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.924, kappa: 0.8401, kb_relative_information_score: 3353.1284, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9245, predictive_accuracy: 0.9244, prior_entropy: 0.9674, recall: 0.9244, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.4927, scimark_benchmark: 1854.9533, usercpu_time_millis: 76.204, usercpu_time_millis_testing: 1.32, usercpu_time_millis_training: 74.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8493, kappa: 0.6809, kb_relative_information_score: 1558.1721, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8704, predictive_accuracy: 0.8555, prior_entropy: 0.9674, recall: 0.8555, relative_absolute_error: 0.7208, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7566, scimark_benchmark: 1932.874, usercpu_time_millis: 1.829, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 1.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4573, kb_relative_information_score: -0.189, 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: 1771.2493, usercpu_time_millis: 3.252, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 2.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4573, kb_relative_information_score: -0.6158, 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: 1848.388, usercpu_time_millis: 5.468, usercpu_time_millis_testing: 0.903, usercpu_time_millis_training: 4.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.932, kappa: 0.857, kb_relative_information_score: 3004.354, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9327, predictive_accuracy: 0.9324, prior_entropy: 0.9674, recall: 0.9324, relative_absolute_error: 0.3907, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.257, root_relative_squared_error: 0.526, scimark_benchmark: 1832.1735, usercpu_time_millis: 4.139, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 3.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8686, kappa: 0.7216, kb_relative_information_score: 1734.5238, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8824, predictive_accuracy: 0.8726, prior_entropy: 0.9674, recall: 0.8726, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7307, scimark_benchmark: 1714.3925, usercpu_time_millis: 14.84, usercpu_time_millis_testing: 1.311, usercpu_time_millis_training: 13.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9341, kappa: 0.8615, kb_relative_information_score: 3468.4007, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9344, predictive_accuracy: 0.9344, prior_entropy: 0.9674, recall: 0.9344, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.4703, scimark_benchmark: 1842.1882, usercpu_time_millis: 42.437, usercpu_time_millis_testing: 1.206, usercpu_time_millis_training: 41.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9158, kappa: 0.8231, kb_relative_information_score: 2932.3225, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9159, predictive_accuracy: 0.9161, prior_entropy: 0.9674, recall: 0.9161, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.5671, scimark_benchmark: 1716.2071, usercpu_time_millis: 51.414, usercpu_time_millis_testing: 1.688, usercpu_time_millis_training: 49.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9215, kappa: 0.8345, kb_relative_information_score: 2341.4427, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9231, predictive_accuracy: 0.9222, prior_entropy: 0.9674, recall: 0.9222, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6214, scimark_benchmark: 1842.1882, usercpu_time_millis: 3.095, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 2.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8995, kappa: 0.79, kb_relative_information_score: 2395.152, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8998, predictive_accuracy: 0.8994, prior_entropy: 0.9674, recall: 0.8994, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6339, scimark_benchmark: 1707.2643, usercpu_time_millis: 2.014, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 1.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9382, kappa: 0.87, kb_relative_information_score: 3413.55, mean_absolute_error: 0.138, 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: 0.2889, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4626, scimark_benchmark: 1048.7613, usercpu_time_millis: 53.288, usercpu_time_millis_testing: 2.689, usercpu_time_millis_training: 50.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9521, kappa: 0.8995, kb_relative_information_score: 3586.1106, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9521, predictive_accuracy: 0.9522, prior_entropy: 0.9674, recall: 0.9522, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.419, scimark_benchmark: 1046.0311, usercpu_time_millis: 8.596, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 8.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9301, kappa: 0.8529, kb_relative_information_score: 2587.347, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9314, predictive_accuracy: 0.9307, prior_entropy: 0.9674, recall: 0.9307, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.5814, scimark_benchmark: 1745.9357, usercpu_time_millis: 19.422, usercpu_time_millis_testing: 2.109, usercpu_time_millis_training: 17.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.8963, kappa: 0.7831, kb_relative_information_score: 2689.0266, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8965, predictive_accuracy: 0.8961, prior_entropy: 0.9674, recall: 0.8961, relative_absolute_error: 0.4526, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.612, scimark_benchmark: 1852.0126, usercpu_time_millis: 34.109, usercpu_time_millis_testing: 1.013, usercpu_time_millis_training: 33.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9514, kappa: 0.8981, kb_relative_information_score: 3774.9812, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9515, predictive_accuracy: 0.9515, prior_entropy: 0.9674, recall: 0.9515, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4102, scimark_benchmark: 1852.0126, usercpu_time_millis: 49.735, usercpu_time_millis_testing: 1.16, usercpu_time_millis_training: 48.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9427, kappa: 0.8799, kb_relative_information_score: 3609.3157, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9428, predictive_accuracy: 0.9428, prior_entropy: 0.9674, recall: 0.9428, relative_absolute_error: 0.2345, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.224, root_relative_squared_error: 0.4585, scimark_benchmark: 1818.9456, usercpu_time_millis: 0.898, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8905, kappa: 0.7691, kb_relative_information_score: 2116.1845, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8927, predictive_accuracy: 0.8918, prior_entropy: 0.9674, recall: 0.8918, relative_absolute_error: 0.5951, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6736, scimark_benchmark: 1825.7178, usercpu_time_millis: 3.273, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 3.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9411, kappa: 0.8763, kb_relative_information_score: 3281.7572, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9413, predictive_accuracy: 0.9413, prior_entropy: 0.9674, recall: 0.9413, relative_absolute_error: 0.3262, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4695, scimark_benchmark: 1726.4275, usercpu_time_millis: 39.104, usercpu_time_millis_testing: 3.759, usercpu_time_millis_training: 35.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9371, kappa: 0.8677, kb_relative_information_score: 3358.6988, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9376, predictive_accuracy: 0.9374, prior_entropy: 0.9674, recall: 0.9374, relative_absolute_error: 0.3016, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.4751, scimark_benchmark: 1816.3374, usercpu_time_millis: 39.842, usercpu_time_millis_testing: 1.61, usercpu_time_millis_training: 38.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9411, kappa: 0.8764, kb_relative_information_score: 3598.3039, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9413, predictive_accuracy: 0.9413, prior_entropy: 0.9674, recall: 0.9413, relative_absolute_error: 0.239, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4487, scimark_benchmark: 1724.0704, usercpu_time_millis: 53.271, usercpu_time_millis_testing: 0.951, usercpu_time_millis_training: 52.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9447, kappa: 0.884, kb_relative_information_score: 3619.4019, mean_absolute_error: 0.1123, 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: 0.2351, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4394, scimark_benchmark: 1725.8551, usercpu_time_millis: 1.394, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 1.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.8985, kappa: 0.7878, kb_relative_information_score: 2690.3981, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8988, predictive_accuracy: 0.8983, prior_entropy: 0.9674, recall: 0.8983, relative_absolute_error: 0.4537, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.6075, scimark_benchmark: 1820.7612, usercpu_time_millis: 15.174, usercpu_time_millis_testing: 0.569, usercpu_time_millis_training: 14.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8992, kappa: 0.7891, kb_relative_information_score: 2760.6314, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8993, predictive_accuracy: 0.8992, prior_entropy: 0.9674, recall: 0.8992, relative_absolute_error: 0.4334, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.6082, scimark_benchmark: 2153.4506, usercpu_time_millis: 18.041, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 17.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.4573, kb_relative_information_score: 1.709, mean_absolute_error: 0.4774, 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: 0.9997, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1729.3645, usercpu_time_millis: 0.551, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.951, kappa: 0.8972, kb_relative_information_score: 3584.8457, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9511, predictive_accuracy: 0.9511, prior_entropy: 0.9674, recall: 0.9511, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4224, scimark_benchmark: 1853.3841, usercpu_time_millis: 3.911, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 3.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.8774, kappa: 0.7404, kb_relative_information_score: 1729.6378, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8896, predictive_accuracy: 0.8809, prior_entropy: 0.9674, recall: 0.8809, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7269, scimark_benchmark: 1853.9121, usercpu_time_millis: 10.785, usercpu_time_millis_testing: 1.2, usercpu_time_millis_training: 9.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9223, kappa: 0.8366, kb_relative_information_score: 2981.0805, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9231, predictive_accuracy: 0.9228, prior_entropy: 0.9674, recall: 0.9228, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.5447, scimark_benchmark: 1722.826, usercpu_time_millis: 32.507, usercpu_time_millis_testing: 1.075, usercpu_time_millis_training: 31.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.933, kappa: 0.859, kb_relative_information_score: 3336.4273, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9334, predictive_accuracy: 0.9333, prior_entropy: 0.9674, recall: 0.9333, relative_absolute_error: 0.3061, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.4825, scimark_benchmark: 1817.3885, usercpu_time_millis: 35.208, usercpu_time_millis_testing: 1.4, usercpu_time_millis_training: 33.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9237, kappa: 0.8394, kb_relative_information_score: 3123.2081, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9244, predictive_accuracy: 0.9241, prior_entropy: 0.9674, recall: 0.9241, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.5251, scimark_benchmark: 1718.2275, usercpu_time_millis: 46.748, usercpu_time_millis_testing: 1.72, usercpu_time_millis_training: 45.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.4573, kb_relative_information_score: 0.0287, 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: 1716.5927, usercpu_time_millis: 5.622, usercpu_time_millis_testing: 1.204, usercpu_time_millis_training: 4.418,
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: 0.9307, f_measure: 0.8678, kappa: 0.7245, kb_relative_information_score: 2327.468, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8691, predictive_accuracy: 0.8672, prior_entropy: 0.9674, recall: 0.8672, relative_absolute_error: 0.5372, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.6662, scimark_benchmark: 1724.4096, usercpu_time_millis: 17.921, usercpu_time_millis_testing: 0.959, usercpu_time_millis_training: 16.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.783, kappa: 0.5406, kb_relative_information_score: 1666.7088, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7899, predictive_accuracy: 0.789, prior_entropy: 0.9674, recall: 0.789, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7668, scimark_benchmark: 1820.7612, usercpu_time_millis: 18.199, usercpu_time_millis_testing: 1.036, usercpu_time_millis_training: 17.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.951, kappa: 0.8972, kb_relative_information_score: 3693.6276, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.951, predictive_accuracy: 0.9511, prior_entropy: 0.9674, recall: 0.9511, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4154, scimark_benchmark: 1726.7615, usercpu_time_millis: 22.393, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 21.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9356, kappa: 0.8645, kb_relative_information_score: 3495.5713, mean_absolute_error: 0.1262, 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: 0.2643, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.228, root_relative_squared_error: 0.4665, scimark_benchmark: 1849.8294, usercpu_time_millis: 46.403, usercpu_time_millis_testing: 0.891, usercpu_time_millis_training: 45.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9375, kappa: 0.8687, kb_relative_information_score: 3385.4413, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.938, predictive_accuracy: 0.9378, prior_entropy: 0.9674, recall: 0.9378, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.4677, scimark_benchmark: 1859.3375, usercpu_time_millis: 53.483, usercpu_time_millis_testing: 2.888, usercpu_time_millis_training: 50.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9486, kappa: 0.8922, kb_relative_information_score: 3733.4087, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9486, predictive_accuracy: 0.9487, prior_entropy: 0.9674, recall: 0.9487, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4173, scimark_benchmark: 1820.3031, usercpu_time_millis: 17.709, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 17.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9332, kappa: 0.8596, kb_relative_information_score: 3354.2564, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9336, predictive_accuracy: 0.9335, prior_entropy: 0.9674, recall: 0.9335, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.4859, scimark_benchmark: 1792.9659, usercpu_time_millis: 28.368, usercpu_time_millis_testing: 1.297, usercpu_time_millis_training: 27.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9306, kappa: 0.8542, kb_relative_information_score: 3278.003, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9309, predictive_accuracy: 0.9309, prior_entropy: 0.9674, recall: 0.9309, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.4996, scimark_benchmark: 1725.0658, usercpu_time_millis: 32.169, usercpu_time_millis_testing: 1.731, usercpu_time_millis_training: 30.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.921, kappa: 0.8338, kb_relative_information_score: 3185.9871, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9218, predictive_accuracy: 0.9215, prior_entropy: 0.9674, recall: 0.9215, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.525, scimark_benchmark: 1855.4813, usercpu_time_millis: 64.843, usercpu_time_millis_testing: 1.682, usercpu_time_millis_training: 63.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.4573, kb_relative_information_score: 0.608, 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: 1852.9259, usercpu_time_millis: 3.793, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 3.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4573, kb_relative_information_score: 0.0857, 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: 1819.345, usercpu_time_millis: 6.499, usercpu_time_millis_testing: 0.859, usercpu_time_millis_training: 5.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8752, kappa: 0.7403, kb_relative_information_score: 2309.5897, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8769, predictive_accuracy: 0.8746, prior_entropy: 0.9674, recall: 0.8746, relative_absolute_error: 0.5426, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.6638, scimark_benchmark: 1716.5269, usercpu_time_millis: 6.989, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 6.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9324, kappa: 0.8579, kb_relative_information_score: 3426.093, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9326, predictive_accuracy: 0.9326, prior_entropy: 0.9674, recall: 0.9326, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.4799, scimark_benchmark: 1102.5185, usercpu_time_millis: 5.755, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 5.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.921, kappa: 0.8336, kb_relative_information_score: 3087.6367, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.922, predictive_accuracy: 0.9215, prior_entropy: 0.9674, recall: 0.9215, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.5401, scimark_benchmark: 1848.2722, usercpu_time_millis: 14.767, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 14.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9444, kappa: 0.8832, kb_relative_information_score: 3558.1379, mean_absolute_error: 0.1203, 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: 0.252, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4428, scimark_benchmark: 1851.4874, usercpu_time_millis: 5.388, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 5.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4573, kb_relative_information_score: -0.4287, 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: 1728.4686, usercpu_time_millis: 5.912, usercpu_time_millis_testing: 0.993, usercpu_time_millis_training: 4.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9274, kappa: 0.8471, kb_relative_information_score: 3301.4653, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9283, predictive_accuracy: 0.9278, prior_entropy: 0.9674, recall: 0.9278, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.4972, scimark_benchmark: 1727.6743, usercpu_time_millis: 13.317, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 13.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9291, kappa: 0.8509, kb_relative_information_score: 2869.7358, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9299, predictive_accuracy: 0.9296, prior_entropy: 0.9674, recall: 0.9296, relative_absolute_error: 0.4241, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.5462, scimark_benchmark: 1725.3999, usercpu_time_millis: 19.516, usercpu_time_millis_testing: 1.487, usercpu_time_millis_training: 18.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9386, kappa: 0.871, kb_relative_information_score: 3330.4477, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9391, predictive_accuracy: 0.9389, prior_entropy: 0.9674, recall: 0.9389, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.473, scimark_benchmark: 1725.3223, usercpu_time_millis: 27.004, usercpu_time_millis_testing: 1.16, usercpu_time_millis_training: 25.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9472, kappa: 0.8892, kb_relative_information_score: 3558.212, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.9674, recall: 0.9474, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.4349, scimark_benchmark: 1839.2774, usercpu_time_millis: 44.231, usercpu_time_millis_testing: 2.088, usercpu_time_millis_training: 42.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9493, kappa: 0.8936, kb_relative_information_score: 3764.0141, mean_absolute_error: 0.0952, 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: 0.1994, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4142, scimark_benchmark: 1725.9723, usercpu_time_millis: 46.935, usercpu_time_millis_testing: 1.253, usercpu_time_millis_training: 45.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9307, kappa: 0.8544, kb_relative_information_score: 3348.3821, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9313, predictive_accuracy: 0.9311, prior_entropy: 0.9674, recall: 0.9311, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.4923, scimark_benchmark: 1849.7595, usercpu_time_millis: 61.517, usercpu_time_millis_testing: 2.006, usercpu_time_millis_training: 59.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9345, kappa: 0.8625, kb_relative_information_score: 3466.8957, mean_absolute_error: 0.1305, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9348, predictive_accuracy: 0.9348, prior_entropy: 0.9674, recall: 0.9348, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.4647, scimark_benchmark: 1844.7928, usercpu_time_millis: 5.339, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 5.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.4573, kb_relative_information_score: 0.0359, 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: 1724.528, usercpu_time_millis: 1.45, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 1.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9057, kappa: 0.8023, kb_relative_information_score: 2411.1538, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9057, predictive_accuracy: 0.9059, prior_entropy: 0.9674, recall: 0.9059, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.6271, scimark_benchmark: 1768.038, usercpu_time_millis: 19.043, usercpu_time_millis_testing: 1.166, usercpu_time_millis_training: 17.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9343, kappa: 0.862, kb_relative_information_score: 3267.8642, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9346, predictive_accuracy: 0.9346, prior_entropy: 0.9674, recall: 0.9346, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.4887, scimark_benchmark: 1212.179, usercpu_time_millis: 24.155, usercpu_time_millis_testing: 1.567, usercpu_time_millis_training: 22.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9206, kappa: 0.8328, kb_relative_information_score: 2963.0685, mean_absolute_error: 0.1867, 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: 0.3909, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5614, scimark_benchmark: 1852.4008, usercpu_time_millis: 55.928, usercpu_time_millis_testing: 1.397, usercpu_time_millis_training: 54.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9453, kappa: 0.885, kb_relative_information_score: 3606.7415, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9455, predictive_accuracy: 0.9454, prior_entropy: 0.9674, recall: 0.9454, relative_absolute_error: 0.2403, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.433, scimark_benchmark: 1848.7762, usercpu_time_millis: 75.292, usercpu_time_millis_testing: 3.053, usercpu_time_millis_training: 72.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8986, kappa: 0.7877, kb_relative_information_score: 2729.1538, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8986, predictive_accuracy: 0.8985, prior_entropy: 0.9674, recall: 0.8985, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.6102, scimark_benchmark: 1704.8099, usercpu_time_millis: 80.625, usercpu_time_millis_testing: 1.65, usercpu_time_millis_training: 78.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.953, kappa: 0.9014, kb_relative_information_score: 3759.8298, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.953, predictive_accuracy: 0.9531, prior_entropy: 0.9674, recall: 0.9531, relative_absolute_error: 0.2026, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.4042, scimark_benchmark: 1346.1886, usercpu_time_millis: 78.034, usercpu_time_millis_testing: 2.364, usercpu_time_millis_training: 75.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9155, kappa: 0.8223, kb_relative_information_score: 3380.8708, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9158, predictive_accuracy: 0.9159, prior_entropy: 0.9674, recall: 0.9159, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.5119, scimark_benchmark: 1729.9428, usercpu_time_millis: 83.109, usercpu_time_millis_testing: 0.693, usercpu_time_millis_training: 82.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9363, kappa: 0.8661, kb_relative_information_score: 3507.3087, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9366, predictive_accuracy: 0.9365, prior_entropy: 0.9674, recall: 0.9365, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4631, scimark_benchmark: 1716.6623, usercpu_time_millis: 84.421, usercpu_time_millis_testing: 1.979, usercpu_time_millis_training: 82.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9212, kappa: 0.8342, kb_relative_information_score: 3190.4601, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9221, predictive_accuracy: 0.9218, prior_entropy: 0.9674, recall: 0.9218, relative_absolute_error: 0.3381, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5255, scimark_benchmark: 1852.0126, usercpu_time_millis: 91.705, usercpu_time_millis_testing: 2.462, usercpu_time_millis_training: 89.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9219, kappa: 0.8356, kb_relative_information_score: 3182.6767, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9228, predictive_accuracy: 0.9224, prior_entropy: 0.9674, recall: 0.9224, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.5266, scimark_benchmark: 1236.3431, usercpu_time_millis: 89.612, usercpu_time_millis_testing: 1.641, usercpu_time_millis_training: 87.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9243, kappa: 0.8408, kb_relative_information_score: 3352.4154, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.925, predictive_accuracy: 0.9248, prior_entropy: 0.9674, recall: 0.9248, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.4956, scimark_benchmark: 1850.9652, usercpu_time_millis: 94.891, usercpu_time_millis_testing: 1.871, usercpu_time_millis_training: 93.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9221, kappa: 0.836, kb_relative_information_score: 3172.8452, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.923, predictive_accuracy: 0.9226, prior_entropy: 0.9674, recall: 0.9226, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5284, scimark_benchmark: 1070.2853, usercpu_time_millis: 109.782, usercpu_time_millis_testing: 2.365, usercpu_time_millis_training: 107.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.919, kappa: 0.8299, kb_relative_information_score: 3364.4856, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9193, predictive_accuracy: 0.9194, prior_entropy: 0.9674, recall: 0.9194, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.5188, scimark_benchmark: 1831.2726, usercpu_time_millis: 2.987, usercpu_time_millis_testing: 2.803, usercpu_time_millis_training: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9187, kappa: 0.8294, kb_relative_information_score: 3514.0908, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9187, predictive_accuracy: 0.9189, prior_entropy: 0.9674, recall: 0.9189, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.5169, scimark_benchmark: 1719.0752, usercpu_time_millis: 3.092, usercpu_time_millis_testing: 3.052, usercpu_time_millis_training: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.9149, kappa: 0.8217, kb_relative_information_score: 3765.735, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9149, predictive_accuracy: 0.915, prior_entropy: 0.9674, recall: 0.915, relative_absolute_error: 0.178, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.5966, scimark_benchmark: 1075.5065, usercpu_time_millis: 4.145, usercpu_time_millis_testing: 4.085, usercpu_time_millis_training: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9156, kappa: 0.8225, kb_relative_information_score: 3279.8183, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9162, predictive_accuracy: 0.9161, prior_entropy: 0.9674, recall: 0.9161, relative_absolute_error: 0.3096, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.5268, scimark_benchmark: 1073.5108, usercpu_time_millis: 5.166, usercpu_time_millis_testing: 5.105, usercpu_time_millis_training: 0.061,

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