OpenML
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 14952 Supervised Classification PhishingWebsites 19725 runs submitted
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  • OpenML-CC18 study_107 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.93, kappa: 0.8577, kb_relative_information_score: 5496.2443, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.932, predictive_accuracy: 0.9303, prior_entropy: 0.9906, recall: 0.9303, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6209, scimark_benchmark: 1730.8446, usercpu_time_millis: 27.244, usercpu_time_millis_testing: 2.583, usercpu_time_millis_training: 24.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9185, kappa: 0.8347, kb_relative_information_score: 8421.2233, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9184, predictive_accuracy: 0.9185, prior_entropy: 0.9906, recall: 0.9185, relative_absolute_error: 0.2569, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.487, scimark_benchmark: 1738.3274, usercpu_time_millis: 13.732, usercpu_time_millis_testing: 0.677, usercpu_time_millis_training: 13.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9543, kappa: 0.9073, kb_relative_information_score: 9261.5477, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9543, predictive_accuracy: 0.9543, prior_entropy: 0.9906, recall: 0.9543, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3804, scimark_benchmark: 1730.8446, usercpu_time_millis: 22.583, usercpu_time_millis_testing: 1.651, usercpu_time_millis_training: 20.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9026, kappa: 0.8026, kb_relative_information_score: 7244.9813, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9026, predictive_accuracy: 0.9026, prior_entropy: 0.9906, recall: 0.9026, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.5471, scimark_benchmark: 1728.4118, usercpu_time_millis: 8.085, usercpu_time_millis_testing: 0.917, usercpu_time_millis_training: 7.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: -0.1286, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1737.4645, usercpu_time_millis: 11.549, usercpu_time_millis_testing: 2.039, usercpu_time_millis_training: 9.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9138, kappa: 0.8252, kb_relative_information_score: 7721.6073, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9138, predictive_accuracy: 0.9138, prior_entropy: 0.9906, recall: 0.9138, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5187, scimark_benchmark: 1740.9797, usercpu_time_millis: 6.966, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 6.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9627, kappa: 0.9243, kb_relative_information_score: 9184.7597, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9628, predictive_accuracy: 0.9627, prior_entropy: 0.9906, recall: 0.9627, relative_absolute_error: 0.1918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3593, scimark_benchmark: 1734.6706, usercpu_time_millis: 2.012, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 1.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.966, kappa: 0.9309, kb_relative_information_score: 9764.3908, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9661, predictive_accuracy: 0.966, prior_entropy: 0.9906, recall: 0.966, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3227, scimark_benchmark: 1724.7601, usercpu_time_millis: 116.68, usercpu_time_millis_testing: 6.253, usercpu_time_millis_training: 110.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.965, kappa: 0.929, kb_relative_information_score: 9734.2703, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.965, predictive_accuracy: 0.965, prior_entropy: 0.9906, recall: 0.965, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.3275, scimark_benchmark: 1715.5791, usercpu_time_millis: 111.946, usercpu_time_millis_testing: 6.239, usercpu_time_millis_training: 105.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9582, kappa: 0.9152, kb_relative_information_score: 9350.8172, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9582, predictive_accuracy: 0.9582, prior_entropy: 0.9906, recall: 0.9582, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.3622, scimark_benchmark: 1736.4936, usercpu_time_millis: 67.36, usercpu_time_millis_testing: 6.229, usercpu_time_millis_training: 61.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9181, kappa: 0.834, kb_relative_information_score: 8200.6006, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9181, predictive_accuracy: 0.9181, prior_entropy: 0.9906, recall: 0.9181, relative_absolute_error: 0.2815, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.244, root_relative_squared_error: 0.4912, scimark_benchmark: 1730.591, usercpu_time_millis: 60.033, usercpu_time_millis_testing: 3.42, usercpu_time_millis_training: 56.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.914, kappa: 0.8253, kb_relative_information_score: 6843.9246, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9147, predictive_accuracy: 0.9142, prior_entropy: 0.9906, recall: 0.9142, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.5465, scimark_benchmark: 1719.9254, usercpu_time_millis: 4.312, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 4.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9641, kappa: 0.9271, kb_relative_information_score: 9586.746, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9641, predictive_accuracy: 0.9641, prior_entropy: 0.9906, recall: 0.9641, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.169, root_relative_squared_error: 0.3402, scimark_benchmark: 1724.3026, usercpu_time_millis: 4.287, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 4.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9441, kappa: 0.8866, kb_relative_information_score: 8483.2183, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9443, predictive_accuracy: 0.9442, prior_entropy: 0.9906, recall: 0.9442, relative_absolute_error: 0.2615, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4281, scimark_benchmark: 1719.9863, usercpu_time_millis: 54.808, usercpu_time_millis_testing: 4.376, usercpu_time_millis_training: 50.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9516, kappa: 0.9019, kb_relative_information_score: 9300.155, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9516, predictive_accuracy: 0.9516, prior_entropy: 0.9906, recall: 0.9516, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.3869, scimark_benchmark: 1737.8652, usercpu_time_millis: 86.865, usercpu_time_millis_testing: 4.541, usercpu_time_millis_training: 82.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9485, kappa: 0.8957, kb_relative_information_score: 9305.4725, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9485, predictive_accuracy: 0.9485, prior_entropy: 0.9906, recall: 0.9485, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.3919, scimark_benchmark: 1733.299, usercpu_time_millis: 82.615, usercpu_time_millis_testing: 2.437, usercpu_time_millis_training: 80.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9694, kappa: 0.938, kb_relative_information_score: 9900.859, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9695, predictive_accuracy: 0.9694, prior_entropy: 0.9906, recall: 0.9694, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.3009, scimark_benchmark: 1733.8711, usercpu_time_millis: 42.031, usercpu_time_millis_testing: 2.411, usercpu_time_millis_training: 39.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 8086.4853, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9066, predictive_accuracy: 0.9063, prior_entropy: 0.9906, recall: 0.9063, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.5258, scimark_benchmark: 1736.9559, usercpu_time_millis: 53.087, usercpu_time_millis_testing: 2.623, usercpu_time_millis_training: 50.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.947, kappa: 0.8925, kb_relative_information_score: 9178.3052, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.947, predictive_accuracy: 0.947, prior_entropy: 0.9906, recall: 0.947, relative_absolute_error: 0.1835, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4016, scimark_benchmark: 1728.4686, usercpu_time_millis: 32.88, usercpu_time_millis_testing: 1.835, usercpu_time_millis_training: 31.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9326, kappa: 0.8631, kb_relative_information_score: 6384.2801, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9334, predictive_accuracy: 0.9328, prior_entropy: 0.9906, recall: 0.9328, relative_absolute_error: 0.4811, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.5602, scimark_benchmark: 1722.143, usercpu_time_millis: 27.231, usercpu_time_millis_testing: 2.501, usercpu_time_millis_training: 24.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9463, kappa: 0.891, kb_relative_information_score: 8873.8084, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9464, predictive_accuracy: 0.9464, prior_entropy: 0.9906, recall: 0.9464, relative_absolute_error: 0.2184, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4098, scimark_benchmark: 1733.4704, usercpu_time_millis: 47.376, usercpu_time_millis_testing: 4.128, usercpu_time_millis_training: 43.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.965, kappa: 0.9289, kb_relative_information_score: 9746.7849, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9651, predictive_accuracy: 0.965, prior_entropy: 0.9906, recall: 0.965, relative_absolute_error: 0.1291, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.3276, scimark_benchmark: 1730.1287, usercpu_time_millis: 44.312, usercpu_time_millis_testing: 2.023, usercpu_time_millis_training: 42.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.8933, kappa: 0.7834, kb_relative_information_score: 3158.9376, mean_absolute_error: 0.3823, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9063, predictive_accuracy: 0.8953, prior_entropy: 0.9906, recall: 0.8953, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7874, scimark_benchmark: 1732.0988, usercpu_time_millis: 17.412, usercpu_time_millis_testing: 2.434, usercpu_time_millis_training: 14.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.916, kappa: 0.8298, kb_relative_information_score: 8225.8227, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.916, predictive_accuracy: 0.9161, prior_entropy: 0.9906, recall: 0.9161, relative_absolute_error: 0.2791, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.4812, scimark_benchmark: 1712.011, usercpu_time_millis: 16.242, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 15.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9536, kappa: 0.9057, kb_relative_information_score: 7771.1575, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9542, predictive_accuracy: 0.9537, prior_entropy: 0.9906, recall: 0.9537, relative_absolute_error: 0.3448, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.4507, scimark_benchmark: 1730.8446, usercpu_time_millis: 14.673, usercpu_time_millis_testing: 0.987, usercpu_time_millis_training: 13.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.8519, kappa: 0.7007, kb_relative_information_score: 2430.6868, mean_absolute_error: 0.4099, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8808, predictive_accuracy: 0.8568, prior_entropy: 0.9906, recall: 0.8568, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8395, scimark_benchmark: 1732.4384, usercpu_time_millis: 11.316, usercpu_time_millis_testing: 1.682, usercpu_time_millis_training: 9.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9103, kappa: 0.8184, kb_relative_information_score: 7839.3165, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9104, predictive_accuracy: 0.9103, prior_entropy: 0.9906, recall: 0.9103, relative_absolute_error: 0.3175, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.5182, scimark_benchmark: 1737.8652, usercpu_time_millis: 44.361, usercpu_time_millis_testing: 2.94, usercpu_time_millis_training: 41.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: -0.2807, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1726.6494, usercpu_time_millis: 8.837, usercpu_time_millis_testing: 1.399, usercpu_time_millis_training: 7.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9235, kappa: 0.8447, kb_relative_information_score: 8239.99, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9236, predictive_accuracy: 0.9236, prior_entropy: 0.9906, recall: 0.9236, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.4732, scimark_benchmark: 1724.947, usercpu_time_millis: 8.671, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 8.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9576, kappa: 0.9141, kb_relative_information_score: 9272.2817, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9577, predictive_accuracy: 0.9577, prior_entropy: 0.9906, recall: 0.9577, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.3671, scimark_benchmark: 1737.8652, usercpu_time_millis: 9.417, usercpu_time_millis_testing: 0.8, usercpu_time_millis_training: 8.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 6864.1857, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.4234, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6034, scimark_benchmark: 1728.4686, usercpu_time_millis: 7.321, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 6.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.951, kappa: 0.9007, kb_relative_information_score: 9345.4138, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9511, predictive_accuracy: 0.9511, prior_entropy: 0.9906, recall: 0.9511, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.3874, scimark_benchmark: 1730.1287, usercpu_time_millis: 3.465, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 3.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9708, kappa: 0.9407, kb_relative_information_score: 10140.3386, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9708, predictive_accuracy: 0.9708, prior_entropy: 0.9906, recall: 0.9708, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.2948, scimark_benchmark: 1715.638, usercpu_time_millis: 157.785, usercpu_time_millis_testing: 5.178, usercpu_time_millis_training: 152.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9243, kappa: 0.8464, kb_relative_information_score: 8661.8541, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9244, predictive_accuracy: 0.9244, prior_entropy: 0.9906, recall: 0.9244, relative_absolute_error: 0.2304, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.4686, scimark_benchmark: 1725.2314, usercpu_time_millis: 88.766, usercpu_time_millis_testing: 3.36, usercpu_time_millis_training: 85.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9654, kappa: 0.9298, kb_relative_information_score: 9706.3395, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9655, predictive_accuracy: 0.9654, prior_entropy: 0.9906, recall: 0.9654, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3263, scimark_benchmark: 1836.8111, usercpu_time_millis: 83.131, usercpu_time_millis_testing: 5.484, usercpu_time_millis_training: 77.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9507, kappa: 0.9, kb_relative_information_score: 8606.3478, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.951, predictive_accuracy: 0.9508, prior_entropy: 0.9906, recall: 0.9508, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4113, scimark_benchmark: 1722.9993, usercpu_time_millis: 77.259, usercpu_time_millis_testing: 6.08, usercpu_time_millis_training: 71.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9497, kappa: 0.8979, kb_relative_information_score: 8560.5225, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9501, predictive_accuracy: 0.9498, prior_entropy: 0.9906, recall: 0.9498, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4153, scimark_benchmark: 1700.0966, usercpu_time_millis: 68.649, usercpu_time_millis_testing: 5.759, usercpu_time_millis_training: 62.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9724, kappa: 0.944, kb_relative_information_score: 10027.9365, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9725, predictive_accuracy: 0.9724, prior_entropy: 0.9906, recall: 0.9724, relative_absolute_error: 0.1016, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.2948, scimark_benchmark: 1731.5003, usercpu_time_millis: 50.203, usercpu_time_millis_testing: 1.901, usercpu_time_millis_training: 48.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9655, kappa: 0.93, kb_relative_information_score: 9691.1637, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9656, predictive_accuracy: 0.9655, prior_entropy: 0.9906, recall: 0.9655, relative_absolute_error: 0.1358, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.3283, scimark_benchmark: 1730.8446, usercpu_time_millis: 38.02, usercpu_time_millis_testing: 2.234, usercpu_time_millis_training: 35.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.901, kappa: 0.7994, kb_relative_information_score: 7170.8411, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.901, predictive_accuracy: 0.901, prior_entropy: 0.9906, recall: 0.901, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.5494, scimark_benchmark: 1718.6781, usercpu_time_millis: 29.145, usercpu_time_millis_testing: 2.665, usercpu_time_millis_training: 26.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9189, kappa: 0.8356, kb_relative_information_score: 7806.7509, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.919, predictive_accuracy: 0.919, prior_entropy: 0.9906, recall: 0.919, relative_absolute_error: 0.326, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.4984, scimark_benchmark: 1732.0396, usercpu_time_millis: 29.731, usercpu_time_millis_testing: 2.167, usercpu_time_millis_training: 27.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3985, kb_relative_information_score: -0.0398, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1734.4399, usercpu_time_millis: 17.83, usercpu_time_millis_testing: 2.567, usercpu_time_millis_training: 15.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: 0.1244, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1730.1287, usercpu_time_millis: 9.585, usercpu_time_millis_testing: 1.222, usercpu_time_millis_training: 8.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9667, kappa: 0.9324, kb_relative_information_score: 9276.527, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 0.9906, recall: 0.9667, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.341, scimark_benchmark: 1729.9318, usercpu_time_millis: 12.915, usercpu_time_millis_testing: 1.069, usercpu_time_millis_training: 11.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9504, kappa: 0.8994, kb_relative_information_score: 9184.4384, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9504, predictive_accuracy: 0.9504, prior_entropy: 0.9906, recall: 0.9504, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.3927, scimark_benchmark: 1727.5559, usercpu_time_millis: 8.698, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 8.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3985, kb_relative_information_score: -0.3576, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1734.2699, usercpu_time_millis: 7.572, usercpu_time_millis_testing: 0.737, usercpu_time_millis_training: 6.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3985, kb_relative_information_score: -0.2965, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1724.3221, usercpu_time_millis: 3.914, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 3.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9111, kappa: 0.8192, kb_relative_information_score: 4977.4127, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9151, predictive_accuracy: 0.9118, prior_entropy: 0.9906, recall: 0.9118, relative_absolute_error: 0.6137, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.662, scimark_benchmark: 1728.9285, usercpu_time_millis: 2.779, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 2.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.948, kappa: 0.8944, kb_relative_information_score: 8465.5638, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9483, predictive_accuracy: 0.9481, prior_entropy: 0.9906, recall: 0.9481, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4239, scimark_benchmark: 1691.6686, usercpu_time_millis: 102.693, usercpu_time_millis_testing: 6.169, usercpu_time_millis_training: 96.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9672, kappa: 0.9335, kb_relative_information_score: 9804.0959, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.9906, recall: 0.9673, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.319, scimark_benchmark: 1711.7139, usercpu_time_millis: 75.486, usercpu_time_millis_testing: 3.339, usercpu_time_millis_training: 72.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9401, kappa: 0.8785, kb_relative_information_score: 8762.225, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9401, predictive_accuracy: 0.9401, prior_entropy: 0.9906, recall: 0.9401, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.4313, scimark_benchmark: 1734.6706, usercpu_time_millis: 61.62, usercpu_time_millis_testing: 2.915, usercpu_time_millis_training: 58.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9567, kappa: 0.9121, kb_relative_information_score: 8569.0812, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.957, predictive_accuracy: 0.9568, prior_entropy: 0.9906, recall: 0.9568, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4019, scimark_benchmark: 1732.8983, usercpu_time_millis: 64.182, usercpu_time_millis_testing: 5.52, usercpu_time_millis_training: 58.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9155, kappa: 0.8288, kb_relative_information_score: 8301.7674, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9155, predictive_accuracy: 0.9155, prior_entropy: 0.9906, recall: 0.9155, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4862, scimark_benchmark: 2007.1715, usercpu_time_millis: 36.859, usercpu_time_millis_testing: 2.165, usercpu_time_millis_training: 34.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9718, kappa: 0.9427, kb_relative_information_score: 10091.5242, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9718, predictive_accuracy: 0.9718, prior_entropy: 0.9906, recall: 0.9718, relative_absolute_error: 0.0947, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.2903, scimark_benchmark: 1730.1287, usercpu_time_millis: 38.15, usercpu_time_millis_testing: 1.633, usercpu_time_millis_training: 36.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.957, kappa: 0.9128, kb_relative_information_score: 9335.3216, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 0.9906, recall: 0.957, relative_absolute_error: 0.1708, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.3699, scimark_benchmark: 1717.8888, usercpu_time_millis: 30.557, usercpu_time_millis_testing: 2.23, usercpu_time_millis_training: 28.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.94, kappa: 0.8782, kb_relative_information_score: 7324.6085, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9409, predictive_accuracy: 0.9402, prior_entropy: 0.9906, recall: 0.9402, relative_absolute_error: 0.3856, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.4967, scimark_benchmark: 1731.9989, usercpu_time_millis: 53.097, usercpu_time_millis_testing: 5.055, usercpu_time_millis_training: 48.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9212, kappa: 0.8402, kb_relative_information_score: 8590.3187, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9213, predictive_accuracy: 0.9213, prior_entropy: 0.9906, recall: 0.9213, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.23, root_relative_squared_error: 0.463, scimark_benchmark: 1729.728, usercpu_time_millis: 46.9, usercpu_time_millis_testing: 3.016, usercpu_time_millis_training: 43.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.935, kappa: 0.8682, kb_relative_information_score: 8380.1547, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9353, predictive_accuracy: 0.9351, prior_entropy: 0.9906, recall: 0.9351, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.4482, scimark_benchmark: 1733.299, usercpu_time_millis: 14.811, usercpu_time_millis_testing: 1.399, usercpu_time_millis_training: 13.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9151, kappa: 0.828, kb_relative_information_score: 7916.3711, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9151, predictive_accuracy: 0.9152, prior_entropy: 0.9906, recall: 0.9152, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5093, scimark_benchmark: 2038.4147, usercpu_time_millis: 36.431, usercpu_time_millis_testing: 2.077, usercpu_time_millis_training: 34.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9503, kappa: 0.8991, kb_relative_information_score: 8937.254, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9504, predictive_accuracy: 0.9503, prior_entropy: 0.9906, recall: 0.9503, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4012, scimark_benchmark: 2016.6986, usercpu_time_millis: 8.94, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 8.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9274, kappa: 0.8528, kb_relative_information_score: 8724.213, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9274, predictive_accuracy: 0.9275, prior_entropy: 0.9906, recall: 0.9275, relative_absolute_error: 0.2245, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.4653, scimark_benchmark: 1736.9559, usercpu_time_millis: 4.74, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 4.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9654, kappa: 0.9299, kb_relative_information_score: 9583.5063, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9655, predictive_accuracy: 0.9654, prior_entropy: 0.9906, recall: 0.9654, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3285, scimark_benchmark: 1734.6706, usercpu_time_millis: 31.46, usercpu_time_millis_testing: 1.885, usercpu_time_millis_training: 29.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9452, kappa: 0.8888, kb_relative_information_score: 8053.6852, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9458, predictive_accuracy: 0.9454, prior_entropy: 0.9906, recall: 0.9454, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.4492, scimark_benchmark: 1736.0929, usercpu_time_millis: 18.102, usercpu_time_millis_testing: 1.348, usercpu_time_millis_training: 16.754,
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: 0.9724, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 7994.017, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9066, predictive_accuracy: 0.9063, prior_entropy: 0.9906, recall: 0.9063, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.5235, scimark_benchmark: 1722.6005, usercpu_time_millis: 30.964, usercpu_time_millis_testing: 2.145, usercpu_time_millis_training: 28.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 7576.6356, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9066, predictive_accuracy: 0.9063, prior_entropy: 0.9906, recall: 0.9063, relative_absolute_error: 0.3464, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.5422, scimark_benchmark: 1717.382, usercpu_time_millis: 10.785, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 10.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9157, kappa: 0.8287, kb_relative_information_score: 6201.6228, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9181, predictive_accuracy: 0.9162, prior_entropy: 0.9906, recall: 0.9162, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.5817, scimark_benchmark: 1733.7613, usercpu_time_millis: 4.631, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 4.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9686, kappa: 0.9363, kb_relative_information_score: 9803.5803, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9687, predictive_accuracy: 0.9686, prior_entropy: 0.9906, recall: 0.9686, relative_absolute_error: 0.125, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3136, scimark_benchmark: 1729.7915, usercpu_time_millis: 71.285, usercpu_time_millis_testing: 4.498, usercpu_time_millis_training: 66.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9086, kappa: 0.8149, kb_relative_information_score: 8088.3829, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9087, predictive_accuracy: 0.9085, prior_entropy: 0.9906, recall: 0.9085, relative_absolute_error: 0.2878, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.256, root_relative_squared_error: 0.5154, scimark_benchmark: 1728.9285, usercpu_time_millis: 4.684, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 4.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9365, kappa: 0.8712, kb_relative_information_score: 8726.1314, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9365, predictive_accuracy: 0.9365, prior_entropy: 0.9906, recall: 0.9365, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.4434, scimark_benchmark: 1735.1328, usercpu_time_millis: 29.45, usercpu_time_millis_testing: 1.926, usercpu_time_millis_training: 27.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 8001.044, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9066, predictive_accuracy: 0.9063, prior_entropy: 0.9906, recall: 0.9063, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5347, scimark_benchmark: 1735.1328, usercpu_time_millis: 6.381, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 6.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9726, kappa: 0.9444, kb_relative_information_score: 10170.0365, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9726, predictive_accuracy: 0.9726, prior_entropy: 0.9906, recall: 0.9726, relative_absolute_error: 0.0859, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.2866, scimark_benchmark: 1732.9618, usercpu_time_millis: 31.12, usercpu_time_millis_testing: 1.171, usercpu_time_millis_training: 29.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9622, kappa: 0.9233, kb_relative_information_score: 9567.5098, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9622, predictive_accuracy: 0.9622, prior_entropy: 0.9906, recall: 0.9622, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.3399, scimark_benchmark: 1730.2773, usercpu_time_millis: 9.309, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 8.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: -0.621, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1724.0704, usercpu_time_millis: 5.021, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 4.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9496, kappa: 0.8977, kb_relative_information_score: 8380.3514, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9501, predictive_accuracy: 0.9497, prior_entropy: 0.9906, recall: 0.9497, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4233, scimark_benchmark: 1723.5031, usercpu_time_millis: 61.871, usercpu_time_millis_testing: 6.01, usercpu_time_millis_training: 55.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9299, kappa: 0.8578, kb_relative_information_score: 8723.3971, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 0.9906, recall: 0.93, relative_absolute_error: 0.2276, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.4519, scimark_benchmark: 1733.299, usercpu_time_millis: 33.483, usercpu_time_millis_testing: 2.246, usercpu_time_millis_training: 31.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9509, kappa: 0.9005, kb_relative_information_score: 9144.04, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.951, predictive_accuracy: 0.951, prior_entropy: 0.9906, recall: 0.951, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.3943, scimark_benchmark: 1732.4995, usercpu_time_millis: 51.625, usercpu_time_millis_testing: 4.208, usercpu_time_millis_training: 47.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9061, kappa: 0.8098, kb_relative_information_score: 7227.956, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9062, predictive_accuracy: 0.906, prior_entropy: 0.9906, recall: 0.906, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.5503, scimark_benchmark: 1729.3292, usercpu_time_millis: 5.455, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 4.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9575, kappa: 0.9139, kb_relative_information_score: 9349.9728, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9576, predictive_accuracy: 0.9576, prior_entropy: 0.9906, recall: 0.9576, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3609, scimark_benchmark: 1723.5631, usercpu_time_millis: 16.101, usercpu_time_millis_testing: 1.421, usercpu_time_millis_training: 14.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9156, kappa: 0.8289, kb_relative_information_score: 8396.1368, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9156, predictive_accuracy: 0.9156, prior_entropy: 0.9906, recall: 0.9156, relative_absolute_error: 0.2599, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.4762, scimark_benchmark: 1731.163, usercpu_time_millis: 40.148, usercpu_time_millis_testing: 3.443, usercpu_time_millis_training: 36.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9376, kappa: 0.8736, kb_relative_information_score: 8972.5494, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9376, predictive_accuracy: 0.9376, prior_entropy: 0.9906, recall: 0.9376, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.4341, scimark_benchmark: 2024.1472, usercpu_time_millis: 25.071, usercpu_time_millis_testing: 1.1, usercpu_time_millis_training: 23.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: 0.3268, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1733.299, usercpu_time_millis: 20.452, usercpu_time_millis_testing: 2.029, usercpu_time_millis_training: 18.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9557, kappa: 0.9103, kb_relative_information_score: 9409.6858, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9558, predictive_accuracy: 0.9558, prior_entropy: 0.9906, recall: 0.9558, relative_absolute_error: 0.1624, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.3682, scimark_benchmark: 1733.299, usercpu_time_millis: 3.749, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 3.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9424, kappa: 0.8833, kb_relative_information_score: 9039.1201, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9424, predictive_accuracy: 0.9425, prior_entropy: 0.9906, recall: 0.9425, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.4164, scimark_benchmark: 1716.3734, usercpu_time_millis: 21.217, usercpu_time_millis_testing: 0.924, usercpu_time_millis_training: 20.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9336, kappa: 0.8651, kb_relative_information_score: 7582.7612, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9343, predictive_accuracy: 0.9338, prior_entropy: 0.9906, recall: 0.9338, relative_absolute_error: 0.3555, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.4905, scimark_benchmark: 1728.075, usercpu_time_millis: 16.046, usercpu_time_millis_testing: 1.867, usercpu_time_millis_training: 14.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.1024, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1786.1857, usercpu_time_millis: 15.727, usercpu_time_millis_testing: 2.196, usercpu_time_millis_training: 13.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9665, kappa: 0.9321, kb_relative_information_score: 9616.9961, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9665, predictive_accuracy: 0.9665, prior_entropy: 0.9906, recall: 0.9665, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.325, scimark_benchmark: 1732.8983, usercpu_time_millis: 7.599, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 7.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9341, kappa: 0.8664, kb_relative_information_score: 8807.3114, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9341, predictive_accuracy: 0.9341, prior_entropy: 0.9906, recall: 0.9341, relative_absolute_error: 0.2179, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.4479, scimark_benchmark: 1730.2773, usercpu_time_millis: 8.104, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 7.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9549, kappa: 0.9086, kb_relative_information_score: 9300.4568, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9549, predictive_accuracy: 0.955, prior_entropy: 0.9906, recall: 0.955, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.3768, scimark_benchmark: 1067.5369, usercpu_time_millis: 85.849, usercpu_time_millis_testing: 5.273, usercpu_time_millis_training: 80.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9548, kappa: 0.9084, kb_relative_information_score: 9305.6296, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9549, predictive_accuracy: 0.9549, prior_entropy: 0.9906, recall: 0.9549, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.3798, scimark_benchmark: 1708.5514, usercpu_time_millis: 71.354, usercpu_time_millis_testing: 4.964, usercpu_time_millis_training: 66.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9397, kappa: 0.8776, kb_relative_information_score: 8675.5834, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9398, predictive_accuracy: 0.9398, prior_entropy: 0.9906, recall: 0.9398, relative_absolute_error: 0.2366, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.4341, scimark_benchmark: 1718.2809, usercpu_time_millis: 56.063, usercpu_time_millis_testing: 4.707, usercpu_time_millis_training: 51.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9579, kappa: 0.9147, kb_relative_information_score: 9470.8002, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9579, predictive_accuracy: 0.9579, prior_entropy: 0.9906, recall: 0.9579, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3568, scimark_benchmark: 1081.01, usercpu_time_millis: 39.689, usercpu_time_millis_testing: 2.441, usercpu_time_millis_training: 37.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9187, kappa: 0.8348, kb_relative_information_score: 4113.2261, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9236, predictive_accuracy: 0.9195, prior_entropy: 0.9906, recall: 0.9195, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7185, scimark_benchmark: 1083.1797, usercpu_time_millis: 35.376, usercpu_time_millis_testing: 4.343, usercpu_time_millis_training: 31.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: 0.5806, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1716.9407, usercpu_time_millis: 15.871, usercpu_time_millis_testing: 1.457, usercpu_time_millis_training: 14.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9394, kappa: 0.8771, kb_relative_information_score: 8809.7514, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 0.9906, recall: 0.9394, relative_absolute_error: 0.2202, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4403, scimark_benchmark: 1397.7353, usercpu_time_millis: 22.578, usercpu_time_millis_testing: 2.024, usercpu_time_millis_training: 20.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3985, kb_relative_information_score: 0.0353, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1731.6389, usercpu_time_millis: 17.978, usercpu_time_millis_testing: 2.511, usercpu_time_millis_training: 15.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.8411, kappa: 0.6798, kb_relative_information_score: 5793.6715, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8768, predictive_accuracy: 0.8473, prior_entropy: 0.9906, recall: 0.8473, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.677, scimark_benchmark: 1718.6781, usercpu_time_millis: 10.345, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 9.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9382, kappa: 0.8746, kb_relative_information_score: 7447.4526, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9389, predictive_accuracy: 0.9384, prior_entropy: 0.9906, recall: 0.9384, relative_absolute_error: 0.3728, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.243, root_relative_squared_error: 0.4893, scimark_benchmark: 1729.2681, usercpu_time_millis: 7.433, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 7.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9538, kappa: 0.9062, kb_relative_information_score: 8560.0478, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9541, predictive_accuracy: 0.9539, prior_entropy: 0.9906, recall: 0.9539, relative_absolute_error: 0.2575, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.408, scimark_benchmark: 1077.3926, usercpu_time_millis: 16.321, usercpu_time_millis_testing: 1.329, usercpu_time_millis_training: 14.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3985, kb_relative_information_score: -0.2906, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1720.0398, usercpu_time_millis: 3.351, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 2.906,

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