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Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 146065 Supervised Classification monks-problems-2 261942 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 38.2163, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7754, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9504, scimark_benchmark: 1872.4956, usercpu_time_millis: 1.648, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 1.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7036, f_measure: 0.5213, kb_relative_information_score: 21.64, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9687, scimark_benchmark: 1862.2919, usercpu_time_millis: 0.514, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9664, kappa: 0.9249, kb_relative_information_score: 328.412, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9673, predictive_accuracy: 0.9667, prior_entropy: 0.9279, recall: 0.9667, relative_absolute_error: 0.5255, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.5787, scimark_benchmark: 2171.732, usercpu_time_millis: 4.074, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 3.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.5213, kb_relative_information_score: 17.8187, mean_absolute_error: 0.4358, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9745, scimark_benchmark: 1861.2508, usercpu_time_millis: 0.425, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.6078, kappa: 0.1502, kb_relative_information_score: 65.8006, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7799, predictive_accuracy: 0.6972, prior_entropy: 0.9279, recall: 0.6972, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.916, scimark_benchmark: 1876.7581, usercpu_time_millis: 1.158, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 1.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9426, kappa: 0.8711, kb_relative_information_score: 351.3254, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9447, predictive_accuracy: 0.9434, prior_entropy: 0.9279, recall: 0.9434, relative_absolute_error: 0.4728, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.5507, scimark_benchmark: 1869.1029, usercpu_time_millis: 0.463, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.5213, kb_relative_information_score: 28.768, mean_absolute_error: 0.4307, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9611, scimark_benchmark: 1864.2743, usercpu_time_millis: 2.452, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 2.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.5213, kb_relative_information_score: -0.0973, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1861.896, usercpu_time_millis: 1.108, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 0.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1324, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1857.7974, usercpu_time_millis: 1.306, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 1.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8712, kappa: 0.7069, kb_relative_information_score: 183.2711, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8944, predictive_accuracy: 0.8785, prior_entropy: 0.9279, recall: 0.8785, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.781, scimark_benchmark: 1865.2449, usercpu_time_millis: 0.382, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.935, kappa: 0.8532, kb_relative_information_score: 254.8906, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9423, predictive_accuracy: 0.9368, prior_entropy: 0.9279, recall: 0.9368, relative_absolute_error: 0.6472, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6838, scimark_benchmark: 1870.2804, usercpu_time_millis: 6.883, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 5.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.905, kappa: 0.7846, kb_relative_information_score: 237.9047, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9165, predictive_accuracy: 0.9085, prior_entropy: 0.9279, recall: 0.9085, relative_absolute_error: 0.6631, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.708, scimark_benchmark: 1855.2567, usercpu_time_millis: 3.213, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 2.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.543, kappa: 0.0346, kb_relative_information_score: 60.5494, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7297, predictive_accuracy: 0.6656, prior_entropy: 0.9279, recall: 0.6656, relative_absolute_error: 0.9098, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.9201, scimark_benchmark: 1854.5572, usercpu_time_millis: 2.497, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 2.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, f_measure: 0.5213, kb_relative_information_score: 0.0729, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.98, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 0.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.6973, kappa: 0.3224, kb_relative_information_score: 100.2555, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.792, predictive_accuracy: 0.7454, prior_entropy: 0.9279, recall: 0.7454, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8839, scimark_benchmark: 1758.6467, usercpu_time_millis: 3.827, usercpu_time_millis_testing: 0.568, usercpu_time_millis_training: 3.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9374, kappa: 0.8593, kb_relative_information_score: 303.9348, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9401, predictive_accuracy: 0.9384, prior_entropy: 0.9279, recall: 0.9384, relative_absolute_error: 0.5616, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.6133, scimark_benchmark: 1855.7107, usercpu_time_millis: 1.09, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 0.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1529, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1854.1776, usercpu_time_millis: 1.286, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 0.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.5213, kb_relative_information_score: 29.9083, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9564, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9607, scimark_benchmark: 1860.8554, usercpu_time_millis: 1.282, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.98, kappa: 0.9555, kb_relative_information_score: 343.4136, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.9279, recall: 0.98, relative_absolute_error: 0.5016, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5489, scimark_benchmark: 1865.1205, usercpu_time_millis: 7.613, usercpu_time_millis_testing: 1.204, usercpu_time_millis_training: 6.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9613, kappa: 0.9134, kb_relative_information_score: 317.3395, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9627, predictive_accuracy: 0.9617, prior_entropy: 0.9279, recall: 0.9617, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5953, scimark_benchmark: 1867.9854, usercpu_time_millis: 3.303, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 2.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.5213, kb_relative_information_score: 32.1829, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.957, scimark_benchmark: 1874.977, usercpu_time_millis: 1.069, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5528, f_measure: 0.5213, kb_relative_information_score: 1.6873, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9955, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.288, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 0.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.5213, kb_relative_information_score: 35.2016, mean_absolute_error: 0.427, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9534, scimark_benchmark: 1871.2729, usercpu_time_millis: 0.904, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.5213, kb_relative_information_score: 60.2314, mean_absolute_error: 0.4128, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9159, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.9253, scimark_benchmark: 1859.4255, usercpu_time_millis: 1.104, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1413, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1866.6776, usercpu_time_millis: 1.365, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5897, f_measure: 0.5213, kb_relative_information_score: 3.0827, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9925, scimark_benchmark: 1855.1969, usercpu_time_millis: 1.535, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 1.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.5213, kb_relative_information_score: 17.8416, mean_absolute_error: 0.4367, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.969, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9746, scimark_benchmark: 1724.6244, usercpu_time_millis: 1.989, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 1.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.6188, kappa: 0.1659, kb_relative_information_score: 65.7428, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7467, predictive_accuracy: 0.6988, prior_entropy: 0.9279, recall: 0.6988, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.9251, scimark_benchmark: 1872.4881, usercpu_time_millis: 2.212, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 1.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9649, kappa: 0.9216, kb_relative_information_score: 417.0809, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9652, predictive_accuracy: 0.9651, prior_entropy: 0.9279, recall: 0.9651, relative_absolute_error: 0.3581, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.4511, scimark_benchmark: 1872.4881, usercpu_time_millis: 5.68, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 4.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.5213, kb_relative_information_score: 72.172, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.903, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.9127, scimark_benchmark: 1877.2162, usercpu_time_millis: 1.69, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 1.454,
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: 0.4957, f_measure: 0.5213, kb_relative_information_score: 0.1569, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1871.9676, usercpu_time_millis: 1.094, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.6127, kappa: 0.1543, kb_relative_information_score: 64.0784, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7421, predictive_accuracy: 0.6955, prior_entropy: 0.9279, recall: 0.6955, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.439, root_relative_squared_error: 0.9249, scimark_benchmark: 1872.8797, usercpu_time_millis: 0.118, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7237, f_measure: 0.5213, kb_relative_information_score: 13.3981, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9804, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.313, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.543, kappa: 0.0346, kb_relative_information_score: 50.4172, mean_absolute_error: 0.4136, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7297, predictive_accuracy: 0.6656, prior_entropy: 0.9279, recall: 0.6656, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.9332, scimark_benchmark: 1850.4811, usercpu_time_millis: 2.904, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 2.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.6751, kappa: 0.2617, kb_relative_information_score: 96.5719, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6744, predictive_accuracy: 0.6905, prior_entropy: 0.9279, recall: 0.6905, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.91, scimark_benchmark: 1786.7294, usercpu_time_millis: 0.101, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7975, kappa: 0.5515, kb_relative_information_score: 195.2619, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.798, predictive_accuracy: 0.797, prior_entropy: 0.9279, recall: 0.797, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.8252, scimark_benchmark: 1804.6839, usercpu_time_millis: 0.098, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.004,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.6447, kappa: 0.1909, kb_relative_information_score: 86.3758, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6453, predictive_accuracy: 0.6689, prior_entropy: 0.9279, recall: 0.6689, relative_absolute_error: 0.8413, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.9179, scimark_benchmark: 1825.6866, usercpu_time_millis: 0.168, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 0.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, f_measure: 0.6199, kappa: 0.1347, kb_relative_information_score: 75.763, mean_absolute_error: 0.3855, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6207, predictive_accuracy: 0.6522, prior_entropy: 0.9279, recall: 0.6522, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9267, scimark_benchmark: 1882.1677, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7796, kappa: 0.5091, kb_relative_information_score: 165.5179, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7789, predictive_accuracy: 0.7804, prior_entropy: 0.9279, recall: 0.7804, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.848, scimark_benchmark: 1878.7854, usercpu_time_millis: 0.095, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.764, kappa: 0.4707, kb_relative_information_score: 156.4279, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7627, predictive_accuracy: 0.7671, prior_entropy: 0.9279, recall: 0.7671, relative_absolute_error: 0.747, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8551, scimark_benchmark: 1878.3273, usercpu_time_millis: 0.091, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.859, kappa: 0.6879, kb_relative_information_score: 366.3449, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8595, predictive_accuracy: 0.8586, prior_entropy: 0.9279, recall: 0.8586, relative_absolute_error: 0.394, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7652, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.101, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7429, kappa: 0.4201, kb_relative_information_score: 136.7099, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7418, predictive_accuracy: 0.7488, prior_entropy: 0.9279, recall: 0.7488, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.874, scimark_benchmark: 1871.7311, usercpu_time_millis: 0.099, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.6397, kappa: 0.1794, kb_relative_information_score: 79.1736, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6418, predictive_accuracy: 0.6672, prior_entropy: 0.9279, recall: 0.6672, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9238, scimark_benchmark: 1876.6882, usercpu_time_millis: 0.096, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.6397, kappa: 0.1794, kb_relative_information_score: 79.1736, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6418, predictive_accuracy: 0.6672, prior_entropy: 0.9279, recall: 0.6672, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9238, scimark_benchmark: 1876.7581, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.6655, kappa: 0.2385, kb_relative_information_score: 93.7681, mean_absolute_error: 0.3746, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6682, predictive_accuracy: 0.6872, prior_entropy: 0.9279, recall: 0.6872, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.9115, scimark_benchmark: 1872.8797, usercpu_time_millis: 0.112, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7429, kappa: 0.4201, kb_relative_information_score: 136.7099, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7418, predictive_accuracy: 0.7488, prior_entropy: 0.9279, recall: 0.7488, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.874, scimark_benchmark: 1872.4216, usercpu_time_millis: 0.096, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.6397, kappa: 0.1794, kb_relative_information_score: 79.1736, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6418, predictive_accuracy: 0.6672, prior_entropy: 0.9279, recall: 0.6672, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9238, scimark_benchmark: 1873.4805, usercpu_time_millis: 0.102, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.764, kappa: 0.4707, kb_relative_information_score: 156.4279, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7627, predictive_accuracy: 0.7671, prior_entropy: 0.9279, recall: 0.7671, relative_absolute_error: 0.747, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8551, scimark_benchmark: 1869.6309, usercpu_time_millis: 0.101, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.712, kappa: 0.3477, kb_relative_information_score: 121.9296, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7116, predictive_accuracy: 0.7221, prior_entropy: 0.9279, recall: 0.7221, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8871, scimark_benchmark: 1869.1029, usercpu_time_millis: 0.105, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7452, kappa: 0.4261, kb_relative_information_score: 145.3282, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.744, predictive_accuracy: 0.7504, prior_entropy: 0.9279, recall: 0.7504, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8664, scimark_benchmark: 1850.7572, usercpu_time_millis: 0.094, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.8836, kappa: 0.7357, kb_relative_information_score: 219.1995, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8973, predictive_accuracy: 0.8885, prior_entropy: 0.9279, recall: 0.8885, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.7346, scimark_benchmark: 1261.2592, usercpu_time_millis: 9.026, usercpu_time_millis_testing: 1.436, usercpu_time_millis_training: 7.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5188, f_measure: 0.5213, kb_relative_information_score: -5.3651, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9999, scimark_benchmark: 1256.6804, usercpu_time_millis: 1.51, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 1.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9816, kappa: 0.9591, kb_relative_information_score: 383.4069, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 0.9279, recall: 0.9817, relative_absolute_error: 0.4331, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.486, scimark_benchmark: 1750.4475, usercpu_time_millis: 6.993, usercpu_time_millis_testing: 0.898, usercpu_time_millis_training: 6.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9963, kb_relative_information_score: 547.5051, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.9279, recall: 0.9983, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.1741, scimark_benchmark: 1851.5723, usercpu_time_millis: 5.032, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 4.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9614, kappa: 0.9138, kb_relative_information_score: 317.0384, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9621, predictive_accuracy: 0.9617, prior_entropy: 0.9279, recall: 0.9617, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.5929, scimark_benchmark: 1851.5723, usercpu_time_millis: 3.857, usercpu_time_millis_testing: 0.612, usercpu_time_millis_training: 3.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9867, kappa: 0.9704, kb_relative_information_score: 394.9264, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 0.9279, recall: 0.9867, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.465, scimark_benchmark: 2173.8617, usercpu_time_millis: 4.872, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 4.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7443, kappa: 0.4178, kb_relative_information_score: 138.6829, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7686, predictive_accuracy: 0.7654, prior_entropy: 0.9279, recall: 0.7654, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8457, scimark_benchmark: 1755.4795, usercpu_time_millis: 4.446, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 3.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.97, kappa: 0.9332, kb_relative_information_score: 408.4314, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.97, predictive_accuracy: 0.9701, prior_entropy: 0.9279, recall: 0.9701, relative_absolute_error: 0.3815, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4528, scimark_benchmark: 1873.5991, usercpu_time_millis: 4.663, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 4.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.5213, kb_relative_information_score: 10.6899, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9824, scimark_benchmark: 1751.3544, usercpu_time_millis: 0.398, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.5213, kb_relative_information_score: 34.351, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9532, scimark_benchmark: 1767.7405, usercpu_time_millis: 1.563, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 1.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.5213, kb_relative_information_score: 69.4417, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.9159, scimark_benchmark: 1771.6439, usercpu_time_millis: 1.527, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 1.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.5213, kb_relative_information_score: 50.2071, mean_absolute_error: 0.4179, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.9353, scimark_benchmark: 1764.8718, usercpu_time_millis: 0.702, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 0.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9545, kappa: 0.898, kb_relative_information_score: 326.9352, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9562, predictive_accuracy: 0.9551, prior_entropy: 0.9279, recall: 0.9551, relative_absolute_error: 0.5261, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5774, scimark_benchmark: 1754.9817, usercpu_time_millis: 2.182, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 1.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.5213, kb_relative_information_score: -1.9645, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9986, scimark_benchmark: 1740.8521, usercpu_time_millis: 1.823, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 1.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9933, kappa: 0.9852, kb_relative_information_score: 410.0861, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9279, recall: 0.9933, relative_absolute_error: 0.3882, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.4397, scimark_benchmark: 1752.1591, usercpu_time_millis: 2.52, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 2.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, f_measure: 0.5213, kb_relative_information_score: 13.4583, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9738, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.465, root_relative_squared_error: 0.9797, scimark_benchmark: 1735.7882, usercpu_time_millis: 1.377, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 0.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5632, f_measure: 0.5213, kb_relative_information_score: 2.3194, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9927, scimark_benchmark: 1874.4489, usercpu_time_millis: 1.852, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 1.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.7117, kappa: 0.3543, kb_relative_information_score: 120.8973, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.813, predictive_accuracy: 0.7571, prior_entropy: 0.9279, recall: 0.7571, relative_absolute_error: 0.8262, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8573, scimark_benchmark: 1767.8296, usercpu_time_millis: 0.128, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.103,

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