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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 - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.583, f_measure: 0.5213, kb_relative_information_score: 3.139, mean_absolute_error: 0.4458, 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: 0.989, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9915, scimark_benchmark: 1808.3229, usercpu_time_millis: 0.694, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 0.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.6517, kappa: 0.2349, kb_relative_information_score: 84.7115, mean_absolute_error: 0.3931, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8047, predictive_accuracy: 0.7221, prior_entropy: 0.9279, recall: 0.7221, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8953, scimark_benchmark: 1754.1911, usercpu_time_millis: 1.749, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 1.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.6546, kappa: 0.2405, kb_relative_information_score: 87.1376, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8055, predictive_accuracy: 0.7238, prior_entropy: 0.9279, recall: 0.7238, relative_absolute_error: 0.8703, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8946, scimark_benchmark: 1863.9794, usercpu_time_millis: 2.854, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 2.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, f_measure: 0.5213, kb_relative_information_score: 0.1525, 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: 2166.8354, usercpu_time_millis: 0.47, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.5213, kb_relative_information_score: 39.1445, mean_absolute_error: 0.4233, 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: 0.9392, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9519, scimark_benchmark: 1860.2646, usercpu_time_millis: 0.549, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 0.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.98, kappa: 0.9555, kb_relative_information_score: 403.5241, mean_absolute_error: 0.1775, 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: 0.3939, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.4575, scimark_benchmark: 1857.3401, usercpu_time_millis: 5.543, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 4.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, f_measure: 0.5213, kb_relative_information_score: -0.4627, 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: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1862.0369, usercpu_time_millis: 0.473, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9101, kappa: 0.7961, kb_relative_information_score: 245.3166, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9225, predictive_accuracy: 0.9135, prior_entropy: 0.9279, recall: 0.9135, relative_absolute_error: 0.651, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.701, scimark_benchmark: 1809.7063, usercpu_time_millis: 4.614, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 4.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9389, kappa: 0.8626, kb_relative_information_score: 280.6381, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9426, predictive_accuracy: 0.9401, prior_entropy: 0.9279, recall: 0.9401, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6509, scimark_benchmark: 1863.5941, usercpu_time_millis: 6.364, usercpu_time_millis_testing: 0.697, usercpu_time_millis_training: 5.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.6235, kappa: 0.1796, kb_relative_information_score: 83.3255, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.786, predictive_accuracy: 0.7055, prior_entropy: 0.9279, recall: 0.7055, relative_absolute_error: 0.876, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.897, scimark_benchmark: 1868.2531, usercpu_time_millis: 2.423, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 2.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.5213, kb_relative_information_score: 0.5177, mean_absolute_error: 0.4503, 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: 0.9991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.421, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5143, f_measure: 0.5213, kb_relative_information_score: -3.8937, 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: 0.4743, root_relative_squared_error: 0.9993, scimark_benchmark: 1859.1656, usercpu_time_millis: 1.304, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 1.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8168, kappa: 0.5829, kb_relative_information_score: 157.3845, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8553, predictive_accuracy: 0.8319, prior_entropy: 0.9279, recall: 0.8319, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.81, scimark_benchmark: 1847.7217, usercpu_time_millis: 1.524, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 1.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6026, f_measure: 0.5213, kb_relative_information_score: 6.7161, mean_absolute_error: 0.4438, 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: 0.9846, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9885, scimark_benchmark: 1864.4376, usercpu_time_millis: 0.363, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.5213, kb_relative_information_score: -0.2787, 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: 1862.4223, usercpu_time_millis: 0.502, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.6463, kappa: 0.2222, kb_relative_information_score: 68.1168, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.786, predictive_accuracy: 0.7171, prior_entropy: 0.9279, recall: 0.7171, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.9106, scimark_benchmark: 1851.8572, usercpu_time_millis: 0.648, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.5619, kappa: 0.069, kb_relative_information_score: 66.7854, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7828, predictive_accuracy: 0.6755, prior_entropy: 0.9279, recall: 0.6755, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.9161, scimark_benchmark: 1865.7826, usercpu_time_millis: 0.522, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8627, kappa: 0.6883, kb_relative_information_score: 189.5475, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8749, predictive_accuracy: 0.8686, prior_entropy: 0.9279, recall: 0.8686, relative_absolute_error: 0.7252, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7756, scimark_benchmark: 1987.0086, usercpu_time_millis: 5.488, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 4.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.8873, kappa: 0.7442, kb_relative_information_score: 207.7391, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9, predictive_accuracy: 0.8918, prior_entropy: 0.9279, recall: 0.8918, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7459, scimark_benchmark: 1875.5079, usercpu_time_millis: 4.338, usercpu_time_millis_testing: 0.504, usercpu_time_millis_training: 3.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5372, f_measure: 0.5213, kb_relative_information_score: -1.6264, mean_absolute_error: 0.4496, 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: 0.9975, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9984, scimark_benchmark: 1808.5541, usercpu_time_millis: 1.367, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 1.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, f_measure: 0.5213, kb_relative_information_score: 0.7055, mean_absolute_error: 0.4465, 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: 0.9906, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9948, scimark_benchmark: 1865.0384, usercpu_time_millis: 1.26, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 1.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.5213, kb_relative_information_score: 39.8955, mean_absolute_error: 0.4232, 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: 0.9389, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9472, scimark_benchmark: 1782.4773, usercpu_time_millis: 2.013, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 1.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 81.469, mean_absolute_error: 0.4026, 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: 0.8932, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.9034, scimark_benchmark: 1872.4216, usercpu_time_millis: 2.976, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 2.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.5213, kb_relative_information_score: -1.8383, mean_absolute_error: 0.4494, 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: 0.9971, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9984, scimark_benchmark: 1812.8613, usercpu_time_millis: 0.864, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 0.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.5213, kb_relative_information_score: 12.3223, mean_absolute_error: 0.4395, 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: 0.9752, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9811, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.412, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 424.9456, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4158, scimark_benchmark: 1848.2943, usercpu_time_millis: 1.964, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 1.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.772, f_measure: 0.5512, kappa: 0.0504, kb_relative_information_score: 54.6116, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7806, predictive_accuracy: 0.6705, prior_entropy: 0.9279, recall: 0.6705, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.93, scimark_benchmark: 1875.3104, usercpu_time_millis: 1.169, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 1.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.5213, kb_relative_information_score: 43.9591, mean_absolute_error: 0.4223, 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: 0.937, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.944, scimark_benchmark: 1849.0255, usercpu_time_millis: 2.087, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 1.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 45.4197, mean_absolute_error: 0.4188, 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: 0.9292, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9404, scimark_benchmark: 1131.689, usercpu_time_millis: 4.48, usercpu_time_millis_testing: 0.567, usercpu_time_millis_training: 3.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5416, f_measure: 0.5213, kb_relative_information_score: -2.3674, mean_absolute_error: 0.45, 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: 0.9984, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9986, scimark_benchmark: 1787.3008, usercpu_time_millis: 0.648, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 0.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 470.0658, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9935, predictive_accuracy: 0.9933, prior_entropy: 0.9279, recall: 0.9933, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3409, scimark_benchmark: 1142.8051, usercpu_time_millis: 2.576, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 2.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.5213, kb_relative_information_score: 10.3234, mean_absolute_error: 0.4433, 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: 0.9835, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.468, root_relative_squared_error: 0.986, scimark_benchmark: 1789.0094, usercpu_time_millis: 0.076, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.5365, kappa: 0.0254, kb_relative_information_score: 42.7192, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7776, predictive_accuracy: 0.6639, prior_entropy: 0.9279, recall: 0.6639, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.942, scimark_benchmark: 1760.6116, usercpu_time_millis: 2.646, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 2.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.5384, kappa: 0.025, kb_relative_information_score: 44.5706, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6797, predictive_accuracy: 0.6622, prior_entropy: 0.9279, recall: 0.6622, relative_absolute_error: 0.9279, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.942, scimark_benchmark: 1785.5852, usercpu_time_millis: 2.182, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 1.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5213, kb_relative_information_score: 0.071, 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: 1755.6065, usercpu_time_millis: 0.458, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5352, f_measure: 0.5213, kb_relative_information_score: -3.5992, mean_absolute_error: 0.4487, 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: 0.9956, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9978, scimark_benchmark: 1872.8797, usercpu_time_millis: 0.975, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 0.799,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.8997, kappa: 0.7726, kb_relative_information_score: 210.5159, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9115, predictive_accuracy: 0.9035, prior_entropy: 0.9279, recall: 0.9035, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7427, scimark_benchmark: 1753.3099, usercpu_time_millis: 1.296, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 1.161,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 540.7725, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1307, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.1861, scimark_benchmark: 1759.2023, usercpu_time_millis: 6.139, usercpu_time_millis_testing: 0.601, usercpu_time_millis_training: 5.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.8873, kappa: 0.7442, kb_relative_information_score: 202.0063, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9, predictive_accuracy: 0.8918, prior_entropy: 0.9279, recall: 0.8918, relative_absolute_error: 0.7165, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.752, scimark_benchmark: 1773.556, usercpu_time_millis: 4.451, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 3.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.995, kappa: 0.989, kb_relative_information_score: 532.5475, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9951, predictive_accuracy: 0.995, prior_entropy: 0.9279, recall: 0.995, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.2242, scimark_benchmark: 1749.7114, usercpu_time_millis: 5.758, usercpu_time_millis_testing: 0.581, usercpu_time_millis_training: 5.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.99, kappa: 0.9779, kb_relative_information_score: 400.2566, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 0.9279, recall: 0.99, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4591, scimark_benchmark: 1766.3561, usercpu_time_millis: 4.563, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 4.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.5289, kappa: 0.0127, kb_relative_information_score: 57.9058, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7762, predictive_accuracy: 0.6606, prior_entropy: 0.9279, recall: 0.6606, relative_absolute_error: 0.9137, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9266, scimark_benchmark: 1759.0068, usercpu_time_millis: 2.023, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 1.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.7755, kappa: 0.4906, kb_relative_information_score: 126.4206, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.835, predictive_accuracy: 0.8003, prior_entropy: 0.9279, recall: 0.8003, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8463, scimark_benchmark: 1786.1824, usercpu_time_millis: 3.217, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 2.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9249, kappa: 0.8304, kb_relative_information_score: 276.709, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9309, predictive_accuracy: 0.9268, prior_entropy: 0.9279, recall: 0.9268, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6538, scimark_benchmark: 1737.5407, usercpu_time_millis: 5.273, usercpu_time_millis_testing: 0.567, usercpu_time_millis_training: 4.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.5265, kappa: 0.0028, kb_relative_information_score: 41.5317, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5694, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9487, scimark_benchmark: 1765.8881, usercpu_time_millis: 2.078, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 1.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.5213, kb_relative_information_score: -0.4222, mean_absolute_error: 0.4508, 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: 1.0002, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1761.718, usercpu_time_millis: 1.163, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 0.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.5213, kb_relative_information_score: 24.0056, mean_absolute_error: 0.4329, 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: 0.9604, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9673, scimark_benchmark: 1750.8365, usercpu_time_millis: 1.351, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 1.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.5319, kappa: 0.0157, kb_relative_information_score: 44.4924, mean_absolute_error: 0.4183, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6908, predictive_accuracy: 0.6606, prior_entropy: 0.9279, recall: 0.6606, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9374, scimark_benchmark: 1761.5701, usercpu_time_millis: 2.061, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 1.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.5213, kb_relative_information_score: 0.4651, mean_absolute_error: 0.4503, 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: 0.9991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1756.6054, usercpu_time_millis: 0.563, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.7509, kappa: 0.4376, kb_relative_information_score: 126.3676, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.83, predictive_accuracy: 0.7837, prior_entropy: 0.9279, recall: 0.7837, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8479, scimark_benchmark: 1723.1582, usercpu_time_millis: 2.202, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 1.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.5213, kb_relative_information_score: 53.7107, mean_absolute_error: 0.4168, 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: 0.9247, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9328, scimark_benchmark: 1793.8477, usercpu_time_millis: 0.966, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 0.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.5213, kb_relative_information_score: 2.9993, mean_absolute_error: 0.4448, 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: 0.9868, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9895, scimark_benchmark: 1780.3425, usercpu_time_millis: 1.133, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.8757, kappa: 0.7184, kb_relative_information_score: 207.5575, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.885, predictive_accuracy: 0.8802, prior_entropy: 0.9279, recall: 0.8802, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7494, scimark_benchmark: 1818.805, usercpu_time_millis: 0.113, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6347, f_measure: 0.5213, kb_relative_information_score: 16.9196, mean_absolute_error: 0.4351, 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: 0.9653, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.979, scimark_benchmark: 1827.3584, usercpu_time_millis: 0.381, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.5289, kappa: 0.0127, kb_relative_information_score: 73.7186, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7762, predictive_accuracy: 0.6606, prior_entropy: 0.9279, recall: 0.6606, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.9111, scimark_benchmark: 1823.2664, usercpu_time_millis: 0.188, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9021, kappa: 0.7784, kb_relative_information_score: 228.0639, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9103, predictive_accuracy: 0.9052, prior_entropy: 0.9279, recall: 0.9052, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7224, scimark_benchmark: 1822.8673, usercpu_time_millis: 0.368, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.6648, kappa: 0.2596, kb_relative_information_score: 83.6865, mean_absolute_error: 0.3933, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8009, predictive_accuracy: 0.7288, prior_entropy: 0.9279, recall: 0.7288, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8965, scimark_benchmark: 1751.7173, usercpu_time_millis: 0.949, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.5213, kb_relative_information_score: -0.0336, 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: 0.9998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1047.2259, usercpu_time_millis: 0.697, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 0.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.6428, kappa: 0.2177, kb_relative_information_score: 88.5986, mean_absolute_error: 0.3924, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8022, predictive_accuracy: 0.7171, prior_entropy: 0.9279, recall: 0.7171, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.8922, scimark_benchmark: 1053.1531, usercpu_time_millis: 3.497, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 3.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9664, kappa: 0.9249, kb_relative_information_score: 324.178, mean_absolute_error: 0.2394, 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: 0.5311, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.277, root_relative_squared_error: 0.5835, scimark_benchmark: 1764.313, usercpu_time_millis: 7.558, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 6.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.7964, kappa: 0.5368, kb_relative_information_score: 136.2153, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8411, predictive_accuracy: 0.8153, prior_entropy: 0.9279, recall: 0.8153, relative_absolute_error: 0.8029, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8345, scimark_benchmark: 1771.2558, usercpu_time_millis: 0.767, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.5213, kb_relative_information_score: -5.801, mean_absolute_error: 0.4501, 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: 0.9986, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.001, scimark_benchmark: 1058.3164, usercpu_time_millis: 1.064, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 0.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.5213, kb_relative_information_score: 5.4021, mean_absolute_error: 0.4443, 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: 0.9859, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.99, scimark_benchmark: 1116.249, usercpu_time_millis: 0.19, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9817, kappa: 0.9595, kb_relative_information_score: 418.2549, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9818, predictive_accuracy: 0.9817, prior_entropy: 0.9279, recall: 0.9817, relative_absolute_error: 0.3671, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4348, scimark_benchmark: 1762.8908, usercpu_time_millis: 1.333, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 1.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.5213, kb_relative_information_score: 34.2446, mean_absolute_error: 0.4265, 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: 0.9463, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9542, scimark_benchmark: 1057.9649, usercpu_time_millis: 2.939, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 2.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.5281, kappa: 0.0094, kb_relative_information_score: 48.0791, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6615, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.9356, scimark_benchmark: 1117.1574, usercpu_time_millis: 0.897, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 0.743,
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: 0.7192, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 36.5542, mean_absolute_error: 0.4247, 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: 0.9424, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9541, scimark_benchmark: 1048.5787, usercpu_time_millis: 3.982, usercpu_time_millis_testing: 0.599, usercpu_time_millis_training: 3.383,

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

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Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

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