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: 0.9761, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 8116.6114, mean_absolute_error: 0.14, 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: 0.2837, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5187, scimark_benchmark: 1858.1494, usercpu_time_millis: 40.723, usercpu_time_millis_testing: 2.297, usercpu_time_millis_training: 38.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 7847.6348, mean_absolute_error: 0.156, 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: 0.316, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.522, scimark_benchmark: 1854.4951, usercpu_time_millis: 23.863, usercpu_time_millis_testing: 1.38, usercpu_time_millis_training: 22.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.915, kappa: 0.8277, kb_relative_information_score: 8348.4779, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.915, predictive_accuracy: 0.915, prior_entropy: 0.9906, recall: 0.915, relative_absolute_error: 0.2618, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.4951, scimark_benchmark: 1844.3569, usercpu_time_millis: 22.568, usercpu_time_millis_testing: 1.345, usercpu_time_millis_training: 21.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3985, kb_relative_information_score: 0.4533, 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: 1855.4813, usercpu_time_millis: 19.672, usercpu_time_millis_testing: 2.075, usercpu_time_millis_training: 17.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.96, kappa: 0.9189, kb_relative_information_score: 9541.1104, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 0.9906, recall: 0.96, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.347, scimark_benchmark: 1852.4707, usercpu_time_millis: 19.038, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 18.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9604, kappa: 0.9197, kb_relative_information_score: 9255.3462, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9605, predictive_accuracy: 0.9605, prior_entropy: 0.9906, recall: 0.9605, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3607, scimark_benchmark: 1849.3742, usercpu_time_millis: 11.417, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 10.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9694, kappa: 0.9379, kb_relative_information_score: 9956.4459, mean_absolute_error: 0.0533, 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: 0.108, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3074, scimark_benchmark: 1847.4809, usercpu_time_millis: 5.721, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 5.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 8125.9344, mean_absolute_error: 0.1382, 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: 0.2799, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.5293, scimark_benchmark: 1846.8212, usercpu_time_millis: 3.94, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 3.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9518, kappa: 0.9022, kb_relative_information_score: 9280.433, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9518, predictive_accuracy: 0.9518, prior_entropy: 0.9906, recall: 0.9518, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.389, scimark_benchmark: 2112.7074, usercpu_time_millis: 3.175, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 3.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9217, kappa: 0.8412, kb_relative_information_score: 8629.8027, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9219, predictive_accuracy: 0.9218, prior_entropy: 0.9906, recall: 0.9218, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4617, scimark_benchmark: 1849.8294, usercpu_time_millis: 1.366, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 1.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.97, kappa: 0.9392, kb_relative_information_score: 9883.8807, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.9906, recall: 0.9701, relative_absolute_error: 0.1163, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.3104, scimark_benchmark: 1844.8764, usercpu_time_millis: 69.881, usercpu_time_millis_testing: 3.491, usercpu_time_millis_training: 66.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9523, kappa: 0.9033, kb_relative_information_score: 9263.5513, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9523, predictive_accuracy: 0.9523, prior_entropy: 0.9906, recall: 0.9523, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.3817, scimark_benchmark: 1755.5008, usercpu_time_millis: 48.857, usercpu_time_millis_testing: 2.969, usercpu_time_millis_training: 45.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9081, kappa: 0.8139, kb_relative_information_score: 8198.0021, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9082, predictive_accuracy: 0.908, prior_entropy: 0.9906, recall: 0.908, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.5148, scimark_benchmark: 1748.2892, usercpu_time_millis: 42.179, usercpu_time_millis_testing: 1.606, usercpu_time_millis_training: 40.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9237, kappa: 0.8453, kb_relative_information_score: 8730.8422, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9237, predictive_accuracy: 0.9237, prior_entropy: 0.9906, recall: 0.9237, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.4601, scimark_benchmark: 1729.7915, usercpu_time_millis: 17.079, usercpu_time_millis_testing: 0.985, usercpu_time_millis_training: 16.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.971, kappa: 0.9412, kb_relative_information_score: 10058.095, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 0.9906, recall: 0.9711, relative_absolute_error: 0.0981, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.2941, scimark_benchmark: 1849.408, usercpu_time_millis: 23.334, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 22.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9468, kappa: 0.8922, kb_relative_information_score: 8959.8225, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9469, predictive_accuracy: 0.9469, prior_entropy: 0.9906, recall: 0.9469, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4048, scimark_benchmark: 1851.8567, usercpu_time_millis: 14.525, usercpu_time_millis_testing: 0.705, usercpu_time_millis_training: 13.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 6924.0781, mean_absolute_error: 0.2058, 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: 0.4169, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.607, scimark_benchmark: 1854.4951, usercpu_time_millis: 8.285, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 7.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9717, kappa: 0.9425, kb_relative_information_score: 9969.6404, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9718, predictive_accuracy: 0.9717, prior_entropy: 0.9906, recall: 0.9717, relative_absolute_error: 0.1079, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.2966, scimark_benchmark: 1854.9533, usercpu_time_millis: 2.741, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 2.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9706, kappa: 0.9403, kb_relative_information_score: 9894.8659, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9706, predictive_accuracy: 0.9706, prior_entropy: 0.9906, recall: 0.9706, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.2989, scimark_benchmark: 1801.3519, usercpu_time_millis: 41.149, usercpu_time_millis_testing: 2.529, usercpu_time_millis_training: 38.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9058, kappa: 0.8091, kb_relative_information_score: 7279.4022, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9058, predictive_accuracy: 0.9058, prior_entropy: 0.9906, recall: 0.9058, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.541, scimark_benchmark: 2144.9898, usercpu_time_millis: 20.204, usercpu_time_millis_testing: 1.699, usercpu_time_millis_training: 18.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9506, kappa: 0.9, kb_relative_information_score: 9463.626, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9507, predictive_accuracy: 0.9506, prior_entropy: 0.9906, recall: 0.9506, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3807, scimark_benchmark: 1723.6152, usercpu_time_millis: 136.548, usercpu_time_millis_testing: 4.219, usercpu_time_millis_training: 132.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.919, kappa: 0.8354, kb_relative_information_score: 6527.3215, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9202, predictive_accuracy: 0.9193, prior_entropy: 0.9906, recall: 0.9193, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.561, scimark_benchmark: 1853.9121, usercpu_time_millis: 2.616, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 2.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9597, kappa: 0.9183, kb_relative_information_score: 9512.2567, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9598, predictive_accuracy: 0.9597, prior_entropy: 0.9906, recall: 0.9597, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3523, scimark_benchmark: 1858.1494, usercpu_time_millis: 27.869, usercpu_time_millis_testing: 1.519, usercpu_time_millis_training: 26.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 6372.7723, mean_absolute_error: 0.2347, 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: 0.4755, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.297, root_relative_squared_error: 0.598, scimark_benchmark: 1730.2773, usercpu_time_millis: 21.863, usercpu_time_millis_testing: 2.022, usercpu_time_millis_training: 19.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 7078.6305, mean_absolute_error: 0.1974, 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: 0.4001, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.6324, scimark_benchmark: 1852.9259, usercpu_time_millis: 17.811, usercpu_time_millis_testing: 1.513, usercpu_time_millis_training: 16.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 7616.984, mean_absolute_error: 0.1705, 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: 0.3456, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.5446, scimark_benchmark: 1849.0944, usercpu_time_millis: 14.173, usercpu_time_millis_testing: 0.908, usercpu_time_millis_training: 13.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9249, kappa: 0.848, kb_relative_information_score: 8745.177, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9251, predictive_accuracy: 0.9248, prior_entropy: 0.9906, recall: 0.9248, relative_absolute_error: 0.2231, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.4607, scimark_benchmark: 1724.8648, usercpu_time_millis: 79.644, usercpu_time_millis_testing: 3.171, usercpu_time_millis_training: 76.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9335, kappa: 0.8649, kb_relative_information_score: 8992.767, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9344, predictive_accuracy: 0.9337, prior_entropy: 0.9906, recall: 0.9337, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.4423, scimark_benchmark: 2110.9429, usercpu_time_millis: 118.89, usercpu_time_millis_testing: 3.31, usercpu_time_millis_training: 115.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9361, kappa: 0.8704, kb_relative_information_score: 8588.8978, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9363, predictive_accuracy: 0.9362, prior_entropy: 0.9906, recall: 0.9362, relative_absolute_error: 0.2453, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4414, scimark_benchmark: 1852.4008, usercpu_time_millis: 61.628, usercpu_time_millis_testing: 5.226, usercpu_time_millis_training: 56.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9727, kappa: 0.9447, kb_relative_information_score: 10044.0164, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9728, predictive_accuracy: 0.9728, prior_entropy: 0.9906, recall: 0.9728, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.144, root_relative_squared_error: 0.2898, scimark_benchmark: 1846.3046, usercpu_time_millis: 54.381, usercpu_time_millis_testing: 2.293, usercpu_time_millis_training: 52.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9581, kappa: 0.915, kb_relative_information_score: 9313.1047, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9581, predictive_accuracy: 0.9581, prior_entropy: 0.9906, recall: 0.9581, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3628, scimark_benchmark: 1829.2164, usercpu_time_millis: 52.29, usercpu_time_millis_testing: 3.375, usercpu_time_millis_training: 48.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.95, kappa: 0.8986, kb_relative_information_score: 9051.9253, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9501, predictive_accuracy: 0.9501, prior_entropy: 0.9906, recall: 0.9501, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.3952, scimark_benchmark: 1849.7595, usercpu_time_millis: 38.932, usercpu_time_millis_testing: 2.276, usercpu_time_millis_training: 36.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: -0.0831, 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: 1849.7595, usercpu_time_millis: 11.477, usercpu_time_millis_testing: 1.933, usercpu_time_millis_training: 9.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9674, kappa: 0.9339, kb_relative_information_score: 9862.6444, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9675, predictive_accuracy: 0.9674, prior_entropy: 0.9906, recall: 0.9674, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.3148, scimark_benchmark: 1850.4154, usercpu_time_millis: 39.271, usercpu_time_millis_testing: 1.764, usercpu_time_millis_training: 37.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9698, kappa: 0.9388, kb_relative_information_score: 9827.3786, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.97, predictive_accuracy: 0.9699, prior_entropy: 0.9906, recall: 0.9699, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3065, scimark_benchmark: 1838.622, usercpu_time_millis: 35.379, usercpu_time_millis_testing: 2.161, usercpu_time_millis_training: 33.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 8003.2983, mean_absolute_error: 0.1469, 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: 0.2976, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.536, scimark_benchmark: 2112.4208, usercpu_time_millis: 21.043, usercpu_time_millis_testing: 2.219, usercpu_time_millis_training: 18.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: -0.1102, 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: 1733.519, usercpu_time_millis: 9.471, usercpu_time_millis_testing: 1.652, usercpu_time_millis_training: 7.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9483, kappa: 0.8952, kb_relative_information_score: 9226.9066, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9483, predictive_accuracy: 0.9483, prior_entropy: 0.9906, recall: 0.9483, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.396, scimark_benchmark: 1720.9018, usercpu_time_millis: 3.928, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 3.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 6762.5123, mean_absolute_error: 0.2143, 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: 0.4342, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.6001, scimark_benchmark: 1810.6415, usercpu_time_millis: 5.093, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 4.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9138, kappa: 0.8248, kb_relative_information_score: 4052.3588, mean_absolute_error: 0.3454, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9196, predictive_accuracy: 0.9147, prior_entropy: 0.9906, recall: 0.9147, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7233, scimark_benchmark: 1853.3841, usercpu_time_millis: 17.414, usercpu_time_millis_testing: 2.28, usercpu_time_millis_training: 15.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9659, kappa: 0.9308, kb_relative_information_score: 9774.4284, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.966, predictive_accuracy: 0.9659, prior_entropy: 0.9906, recall: 0.9659, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3203, scimark_benchmark: 1829.1182, usercpu_time_millis: 43.648, usercpu_time_millis_testing: 2.276, usercpu_time_millis_training: 41.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9571, kappa: 0.913, kb_relative_information_score: 9261.8595, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.9906, recall: 0.9571, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.3701, scimark_benchmark: 1849.3014, usercpu_time_millis: 31.8, usercpu_time_millis_testing: 2.638, usercpu_time_millis_training: 29.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3985, kb_relative_information_score: 0.6019, 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: 1809.154, usercpu_time_millis: 9.605, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 8.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9476, kappa: 0.8936, kb_relative_information_score: 7928.4451, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9482, predictive_accuracy: 0.9477, prior_entropy: 0.9906, recall: 0.9477, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.224, root_relative_squared_error: 0.4509, scimark_benchmark: 2153.716, usercpu_time_millis: 18.076, usercpu_time_millis_testing: 2.145, usercpu_time_millis_training: 15.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9454, kappa: 0.8894, kb_relative_information_score: 9186.402, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9454, predictive_accuracy: 0.9455, prior_entropy: 0.9906, recall: 0.9455, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.405, scimark_benchmark: 1855.6669, usercpu_time_millis: 93.255, usercpu_time_millis_testing: 4.534, usercpu_time_millis_training: 88.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9351, kappa: 0.8685, kb_relative_information_score: 8814.6768, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9351, predictive_accuracy: 0.9351, prior_entropy: 0.9906, recall: 0.9351, relative_absolute_error: 0.2171, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4477, scimark_benchmark: 1845.8518, usercpu_time_millis: 52.07, usercpu_time_millis_testing: 2.437, usercpu_time_millis_training: 49.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.934, kappa: 0.8664, kb_relative_information_score: 8851.4757, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9342, predictive_accuracy: 0.934, prior_entropy: 0.9906, recall: 0.934, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4478, scimark_benchmark: 1856.125, usercpu_time_millis: 95.194, usercpu_time_millis_testing: 3.449, usercpu_time_millis_training: 91.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9492, kappa: 0.8968, kb_relative_information_score: 8651.8651, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9494, predictive_accuracy: 0.9493, prior_entropy: 0.9906, recall: 0.9493, relative_absolute_error: 0.2448, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4129, scimark_benchmark: 1829.3677, usercpu_time_millis: 10.861, usercpu_time_millis_testing: 1.147, usercpu_time_millis_training: 9.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9521, kappa: 0.9029, kb_relative_information_score: 9228.5215, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9521, predictive_accuracy: 0.9521, prior_entropy: 0.9906, recall: 0.9521, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.3855, scimark_benchmark: 1902.9368, usercpu_time_millis: 52.345, usercpu_time_millis_testing: 3.02, usercpu_time_millis_training: 49.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 8121.4628, mean_absolute_error: 0.1398, 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: 0.2834, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5171, scimark_benchmark: 1897.9695, usercpu_time_millis: 48.846, usercpu_time_millis_testing: 2.583, usercpu_time_millis_training: 46.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.908, kappa: 0.8137, kb_relative_information_score: 8135.774, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9081, predictive_accuracy: 0.9079, prior_entropy: 0.9906, recall: 0.9079, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.5103, scimark_benchmark: 1752.0183, usercpu_time_millis: 29.644, usercpu_time_millis_testing: 1.515, usercpu_time_millis_training: 28.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: -0.6315, 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: 1753.2403, usercpu_time_millis: 3.608, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 3.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9629, kappa: 0.9247, kb_relative_information_score: 9616.3459, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9629, predictive_accuracy: 0.9629, prior_entropy: 0.9906, recall: 0.9629, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3347, scimark_benchmark: 1854.4979, usercpu_time_millis: 73.368, usercpu_time_millis_testing: 5.06, usercpu_time_millis_training: 68.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9196, kappa: 0.837, kb_relative_information_score: 6513.8097, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9196, predictive_accuracy: 0.9197, prior_entropy: 0.9906, recall: 0.9197, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.278, root_relative_squared_error: 0.5597, scimark_benchmark: 1817.5736, usercpu_time_millis: 26.769, usercpu_time_millis_testing: 3.237, usercpu_time_millis_training: 23.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9679, kappa: 0.9349, kb_relative_information_score: 10238.7256, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9679, predictive_accuracy: 0.9679, prior_entropy: 0.9906, recall: 0.9679, relative_absolute_error: 0.075, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3137, scimark_benchmark: 1825.8301, usercpu_time_millis: 45.852, usercpu_time_millis_testing: 1.6, usercpu_time_millis_training: 44.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9372, kappa: 0.8724, kb_relative_information_score: 8079.8982, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9377, predictive_accuracy: 0.9373, prior_entropy: 0.9906, recall: 0.9373, relative_absolute_error: 0.3026, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.4616, scimark_benchmark: 1830.1711, usercpu_time_millis: 36.991, usercpu_time_millis_testing: 3.04, usercpu_time_millis_training: 33.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9553, kappa: 0.9094, kb_relative_information_score: 9430.6846, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9553, predictive_accuracy: 0.9553, prior_entropy: 0.9906, recall: 0.9553, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.3738, scimark_benchmark: 1848.7762, usercpu_time_millis: 38.798, usercpu_time_millis_testing: 1.491, usercpu_time_millis_training: 37.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9456, kappa: 0.8897, kb_relative_information_score: 9035.949, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9456, predictive_accuracy: 0.9456, prior_entropy: 0.9906, recall: 0.9456, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.4084, scimark_benchmark: 1842.7105, usercpu_time_millis: 29.588, usercpu_time_millis_testing: 1.964, usercpu_time_millis_training: 27.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9692, kappa: 0.9376, kb_relative_information_score: 9655.8039, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9693, predictive_accuracy: 0.9692, prior_entropy: 0.9906, recall: 0.9692, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.3149, scimark_benchmark: 1847.4649, usercpu_time_millis: 37.383, usercpu_time_millis_testing: 2.338, usercpu_time_millis_training: 35.045,
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: 0.9856, f_measure: 0.9344, kappa: 0.8667, kb_relative_information_score: 4630.7907, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9376, predictive_accuracy: 0.9349, prior_entropy: 0.9906, recall: 0.9349, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6784, scimark_benchmark: 1848.321, usercpu_time_millis: 32.779, usercpu_time_millis_testing: 3.066, usercpu_time_millis_training: 29.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 7925.1067, mean_absolute_error: 0.1517, 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: 0.3074, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5195, scimark_benchmark: 1820.9864, usercpu_time_millis: 29.913, usercpu_time_millis_testing: 2.849, usercpu_time_millis_training: 27.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9036, kappa: 0.8041, kb_relative_information_score: 3480.4582, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9122, predictive_accuracy: 0.9049, prior_entropy: 0.9906, recall: 0.9049, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7643, scimark_benchmark: 1845.7835, usercpu_time_millis: 12.627, usercpu_time_millis_testing: 1.439, usercpu_time_millis_training: 11.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: 0.0801, 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: 1826.3384, usercpu_time_millis: 11.608, usercpu_time_millis_testing: 1.454, usercpu_time_millis_training: 10.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3985, kb_relative_information_score: -0.1862, 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: 1845.264, usercpu_time_millis: 10.157, usercpu_time_millis_testing: 1.746, usercpu_time_millis_training: 8.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9571, kappa: 0.9129, kb_relative_information_score: 9028.1978, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 0.9906, recall: 0.9571, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.3787, scimark_benchmark: 1823.4873, usercpu_time_millis: 5.627, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 5.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9648, kappa: 0.9286, kb_relative_information_score: 9727.4952, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9648, predictive_accuracy: 0.9648, prior_entropy: 0.9906, recall: 0.9648, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3297, scimark_benchmark: 1742.6541, usercpu_time_millis: 110.66, usercpu_time_millis_testing: 4.902, usercpu_time_millis_training: 105.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9555, kappa: 0.9096, kb_relative_information_score: 7869.0192, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9561, predictive_accuracy: 0.9556, prior_entropy: 0.9906, recall: 0.9556, relative_absolute_error: 0.3353, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4414, scimark_benchmark: 1836.1651, usercpu_time_millis: 45.267, usercpu_time_millis_testing: 3.607, usercpu_time_millis_training: 41.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9411, kappa: 0.8803, kb_relative_information_score: 6762.5221, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9422, predictive_accuracy: 0.9413, prior_entropy: 0.9906, recall: 0.9413, relative_absolute_error: 0.4451, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.5293, scimark_benchmark: 1736.0069, usercpu_time_millis: 46.719, usercpu_time_millis_testing: 5.065, usercpu_time_millis_training: 41.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.967, kappa: 0.933, kb_relative_information_score: 9753.125, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.967, predictive_accuracy: 0.967, prior_entropy: 0.9906, recall: 0.967, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3183, scimark_benchmark: 1819.4048, usercpu_time_millis: 81.84, usercpu_time_millis_testing: 5.067, usercpu_time_millis_training: 76.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9379, kappa: 0.8739, kb_relative_information_score: 6232.8409, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9394, predictive_accuracy: 0.9382, prior_entropy: 0.9906, recall: 0.9382, relative_absolute_error: 0.4975, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.282, root_relative_squared_error: 0.5677, scimark_benchmark: 1725.2655, usercpu_time_millis: 38.9, usercpu_time_millis_testing: 4.003, usercpu_time_millis_training: 34.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9312, kappa: 0.8601, kb_relative_information_score: 4532.5399, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9348, predictive_accuracy: 0.9317, prior_entropy: 0.9906, recall: 0.9317, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.686, scimark_benchmark: 1731.1814, usercpu_time_millis: 34.636, usercpu_time_millis_testing: 3.416, usercpu_time_millis_training: 31.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9395, kappa: 0.8772, kb_relative_information_score: 7503.3052, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9401, predictive_accuracy: 0.9397, prior_entropy: 0.9906, recall: 0.9397, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.4849, scimark_benchmark: 1813.0947, usercpu_time_millis: 14.784, usercpu_time_millis_testing: 1.007, usercpu_time_millis_training: 13.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9582, kappa: 0.9153, kb_relative_information_score: 9614.6486, mean_absolute_error: 0.0695, 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: 0.1408, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3505, scimark_benchmark: 1821.0893, usercpu_time_millis: 66.769, usercpu_time_millis_testing: 2.422, usercpu_time_millis_training: 64.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.904, kappa: 0.8049, kb_relative_information_score: 3562.8468, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9116, predictive_accuracy: 0.9052, prior_entropy: 0.9906, recall: 0.9052, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7589, scimark_benchmark: 1838.7526, usercpu_time_millis: 26.348, usercpu_time_millis_testing: 2.753, usercpu_time_millis_training: 23.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9665, kappa: 0.9321, kb_relative_information_score: 9823.6135, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9666, predictive_accuracy: 0.9665, prior_entropy: 0.9906, recall: 0.9665, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.3177, scimark_benchmark: 1822.9739, usercpu_time_millis: 61.479, usercpu_time_millis_testing: 2.831, usercpu_time_millis_training: 58.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9286, kappa: 0.8549, kb_relative_information_score: 4332.895, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9324, predictive_accuracy: 0.9292, prior_entropy: 0.9906, recall: 0.9292, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.701, scimark_benchmark: 1887.5786, usercpu_time_millis: 23.942, usercpu_time_millis_testing: 2.458, usercpu_time_millis_training: 21.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9688, kappa: 0.9366, kb_relative_information_score: 9785.0837, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9689, predictive_accuracy: 0.9688, prior_entropy: 0.9906, recall: 0.9688, relative_absolute_error: 0.127, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.3145, scimark_benchmark: 1824.2541, usercpu_time_millis: 51.223, usercpu_time_millis_testing: 3.334, usercpu_time_millis_training: 47.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9229, kappa: 0.8433, kb_relative_information_score: 5278.3821, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9257, predictive_accuracy: 0.9234, prior_entropy: 0.9906, recall: 0.9234, relative_absolute_error: 0.5865, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6389, scimark_benchmark: 1840.8345, usercpu_time_millis: 7.749, usercpu_time_millis_testing: 0.57, usercpu_time_millis_training: 7.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9024, kappa: 0.8016, kb_relative_information_score: 3547.8261, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9096, predictive_accuracy: 0.9036, prior_entropy: 0.9906, recall: 0.9036, relative_absolute_error: 0.7409, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7604, scimark_benchmark: 1817.4587, usercpu_time_millis: 3.596, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 3.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9438, kappa: 0.886, kb_relative_information_score: 8232.8853, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9441, predictive_accuracy: 0.9439, prior_entropy: 0.9906, recall: 0.9439, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4399, scimark_benchmark: 1882.8248, usercpu_time_millis: 11.616, usercpu_time_millis_testing: 0.662, usercpu_time_millis_training: 10.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9403, kappa: 0.8789, kb_relative_information_score: 8071.0269, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9408, predictive_accuracy: 0.9405, prior_entropy: 0.9906, recall: 0.9405, relative_absolute_error: 0.3062, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.4519, scimark_benchmark: 1882.8248, usercpu_time_millis: 11.743, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 10.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9294, kappa: 0.8566, kb_relative_information_score: 6530.8062, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9309, predictive_accuracy: 0.9297, prior_entropy: 0.9906, recall: 0.9297, relative_absolute_error: 0.4648, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.5534, scimark_benchmark: 1888.2969, usercpu_time_millis: 8.836, usercpu_time_millis_testing: 0.713, usercpu_time_millis_training: 8.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9546, kappa: 0.9078, kb_relative_information_score: 8432.4715, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.955, predictive_accuracy: 0.9547, prior_entropy: 0.9906, recall: 0.9547, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4139, scimark_benchmark: 1852.9259, usercpu_time_millis: 34.624, usercpu_time_millis_testing: 2.879, usercpu_time_millis_training: 31.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: -0.7726, 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: 1743.6033, usercpu_time_millis: 3.759, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 3.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9704, kappa: 0.9399, kb_relative_information_score: 9859.5026, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9705, predictive_accuracy: 0.9704, prior_entropy: 0.9906, recall: 0.9704, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.3049, scimark_benchmark: 1851.8968, usercpu_time_millis: 25.172, usercpu_time_millis_testing: 1.37, usercpu_time_millis_training: 23.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9252, kappa: 0.8479, kb_relative_information_score: 4524.462, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9287, predictive_accuracy: 0.9257, prior_entropy: 0.9906, recall: 0.9257, relative_absolute_error: 0.6582, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.6893, scimark_benchmark: 1722.595, usercpu_time_millis: 22.901, usercpu_time_millis_testing: 2.199, usercpu_time_millis_training: 20.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.919, kappa: 0.8358, kb_relative_information_score: 8137.6303, mean_absolute_error: 0.1437, 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: 0.2913, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.236, root_relative_squared_error: 0.4751, scimark_benchmark: 1723.1624, usercpu_time_millis: 18.341, usercpu_time_millis_testing: 1.055, usercpu_time_millis_training: 17.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9351, kappa: 0.8684, kb_relative_information_score: 8638.917, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9353, predictive_accuracy: 0.9352, prior_entropy: 0.9906, recall: 0.9352, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4442, scimark_benchmark: 1727.0501, usercpu_time_millis: 15.548, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 14.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: 0.1405, 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: 1740.7019, usercpu_time_millis: 14.267, usercpu_time_millis_testing: 2.176, usercpu_time_millis_training: 12.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: -0.077, 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: 1821.4321, usercpu_time_millis: 13.715, usercpu_time_millis_testing: 2.352, usercpu_time_millis_training: 11.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9679, kappa: 0.9348, kb_relative_information_score: 9701.0871, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9679, predictive_accuracy: 0.9679, prior_entropy: 0.9906, recall: 0.9679, relative_absolute_error: 0.1366, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3169, scimark_benchmark: 1814.0378, usercpu_time_millis: 26.293, usercpu_time_millis_testing: 1.299, usercpu_time_millis_training: 24.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9682, kappa: 0.9355, kb_relative_information_score: 9820.1323, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9683, predictive_accuracy: 0.9683, prior_entropy: 0.9906, recall: 0.9683, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.3164, scimark_benchmark: 1726.1942, usercpu_time_millis: 7.605, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 7.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9194, kappa: 0.8364, kb_relative_information_score: 8621.6615, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9195, predictive_accuracy: 0.9195, prior_entropy: 0.9906, recall: 0.9195, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.4683, scimark_benchmark: 1727.9566, usercpu_time_millis: 28.881, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 28.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9198, kappa: 0.8373, kb_relative_information_score: 8553.2145, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9198, predictive_accuracy: 0.9199, prior_entropy: 0.9906, recall: 0.9199, relative_absolute_error: 0.2437, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.235, root_relative_squared_error: 0.473, scimark_benchmark: 1742.4659, usercpu_time_millis: 15.19, usercpu_time_millis_testing: 0.988, usercpu_time_millis_training: 14.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9722, kappa: 0.9436, kb_relative_information_score: 10012.8153, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 0.9906, recall: 0.9722, relative_absolute_error: 0.1032, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.2953, scimark_benchmark: 1730.2773, usercpu_time_millis: 122.854, usercpu_time_millis_testing: 5.075, usercpu_time_millis_training: 117.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9673, kappa: 0.9337, kb_relative_information_score: 9809.0706, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9674, predictive_accuracy: 0.9673, prior_entropy: 0.9906, recall: 0.9673, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3173, scimark_benchmark: 1848.1223, usercpu_time_millis: 78.709, usercpu_time_millis_testing: 4.619, usercpu_time_millis_training: 74.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9586, kappa: 0.9162, kb_relative_information_score: 9466.2361, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9587, predictive_accuracy: 0.9587, prior_entropy: 0.9906, recall: 0.9587, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.3575, scimark_benchmark: 1967.2413, usercpu_time_millis: 50.473, usercpu_time_millis_testing: 2.885, usercpu_time_millis_training: 47.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, 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: 1789.5715, usercpu_time_millis: 14.299, usercpu_time_millis_testing: 2.503, usercpu_time_millis_training: 11.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9596, kappa: 0.9182, kb_relative_information_score: 9501.239, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9596, predictive_accuracy: 0.9597, prior_entropy: 0.9906, recall: 0.9597, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3546, scimark_benchmark: 1938.2953, usercpu_time_millis: 34.972, usercpu_time_millis_testing: 2.037, usercpu_time_millis_training: 32.935,

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