OpenML
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 145857 Supervised Classification phoneme 102354 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.8572, kappa: 0.6523, kb_relative_information_score: 2391.2137, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8565, predictive_accuracy: 0.8588, prior_entropy: 0.8733, recall: 0.8588, relative_absolute_error: 0.5636, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.7148, scimark_benchmark: 1854.4951, usercpu_time_millis: 2.897, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 2.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.585, kb_relative_information_score: -0.242, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1853.0566, usercpu_time_millis: 2.988, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 2.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.7765, kappa: 0.4607, kb_relative_information_score: 1372.3506, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7766, prior_entropy: 0.8733, recall: 0.7766, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.8385, scimark_benchmark: 1854.1098, usercpu_time_millis: 2.589, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 2.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7726, kappa: 0.4522, kb_relative_information_score: 1304.3786, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7728, predictive_accuracy: 0.7724, prior_entropy: 0.8733, recall: 0.7724, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.85, scimark_benchmark: 1855.4813, usercpu_time_millis: 4.605, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 4.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.585, kb_relative_information_score: 0.4094, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1858.2223, usercpu_time_millis: 6.124, usercpu_time_millis_testing: 0.828, usercpu_time_millis_training: 5.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8627, kappa: 0.6667, kb_relative_information_score: 2664.3423, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8621, predictive_accuracy: 0.8638, prior_entropy: 0.8733, recall: 0.8638, relative_absolute_error: 0.5159, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6841, scimark_benchmark: 1848.2615, usercpu_time_millis: 1.539, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 1.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.7999, kappa: 0.5123, kb_relative_information_score: 1731.5827, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7984, predictive_accuracy: 0.8024, prior_entropy: 0.8733, recall: 0.8024, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.7901, scimark_benchmark: 1859.1356, usercpu_time_millis: 5.192, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 4.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.585, kb_relative_information_score: -2.7325, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1859.6666, usercpu_time_millis: 0.98, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 0.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7859, kappa: 0.4834, kb_relative_information_score: 1601.5338, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7858, predictive_accuracy: 0.7861, prior_entropy: 0.8733, recall: 0.7861, relative_absolute_error: 0.694, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.8165, scimark_benchmark: 1856.0123, usercpu_time_millis: 1.55, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 1.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.7742, kappa: 0.4588, kb_relative_information_score: 1061.743, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7757, predictive_accuracy: 0.7729, prior_entropy: 0.8733, recall: 0.7729, relative_absolute_error: 0.8044, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8762, scimark_benchmark: 1859.1356, usercpu_time_millis: 0.856, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8809, kappa: 0.7115, kb_relative_information_score: 3308.4586, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8805, predictive_accuracy: 0.8814, prior_entropy: 0.8733, recall: 0.8814, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.291, root_relative_squared_error: 0.639, scimark_benchmark: 1808.526, usercpu_time_millis: 191.732, usercpu_time_millis_testing: 5.089, usercpu_time_millis_training: 186.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.886, kappa: 0.7245, kb_relative_information_score: 3223.1974, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8858, predictive_accuracy: 0.8862, prior_entropy: 0.8733, recall: 0.8862, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.623, scimark_benchmark: 1798.8918, usercpu_time_millis: 176.508, usercpu_time_millis_testing: 5.229, usercpu_time_millis_training: 171.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.886, kappa: 0.7247, kb_relative_information_score: 3084.5764, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8859, predictive_accuracy: 0.8862, prior_entropy: 0.8733, recall: 0.8862, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.6326, scimark_benchmark: 1807.8949, usercpu_time_millis: 158.781, usercpu_time_millis_testing: 4.579, usercpu_time_millis_training: 154.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.875, kappa: 0.698, kb_relative_information_score: 3130.1661, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8748, predictive_accuracy: 0.8753, prior_entropy: 0.8733, recall: 0.8753, relative_absolute_error: 0.4211, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.6489, scimark_benchmark: 1805.2569, usercpu_time_millis: 125.887, usercpu_time_millis_testing: 3.044, usercpu_time_millis_training: 122.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8935, kappa: 0.7427, kb_relative_information_score: 3230.0913, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8933, predictive_accuracy: 0.8938, prior_entropy: 0.8733, recall: 0.8938, relative_absolute_error: 0.415, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.6108, scimark_benchmark: 1846.7483, usercpu_time_millis: 122.427, usercpu_time_millis_testing: 4.288, usercpu_time_millis_training: 118.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8573, kappa: 0.6549, kb_relative_information_score: 2914.3467, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8569, predictive_accuracy: 0.8577, prior_entropy: 0.8733, recall: 0.8577, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6915, scimark_benchmark: 1858.6076, usercpu_time_millis: 154.561, usercpu_time_millis_testing: 3.344, usercpu_time_millis_training: 151.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8874, kappa: 0.7279, kb_relative_information_score: 3156.2567, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8872, predictive_accuracy: 0.8877, prior_entropy: 0.8733, recall: 0.8877, relative_absolute_error: 0.4274, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.6225, scimark_benchmark: 1913.5361, usercpu_time_millis: 122.362, usercpu_time_millis_testing: 4.34, usercpu_time_millis_training: 118.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8938, kappa: 0.7435, kb_relative_information_score: 3206.8651, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8937, predictive_accuracy: 0.894, prior_entropy: 0.8733, recall: 0.894, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.6112, scimark_benchmark: 1834.1671, usercpu_time_millis: 120.72, usercpu_time_millis_testing: 5.182, usercpu_time_millis_training: 115.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8915, kappa: 0.7379, kb_relative_information_score: 3133.9756, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8913, predictive_accuracy: 0.8917, prior_entropy: 0.8733, recall: 0.8917, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.6199, scimark_benchmark: 1834.1671, usercpu_time_millis: 99.654, usercpu_time_millis_testing: 4.549, usercpu_time_millis_training: 95.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8975, kappa: 0.7519, kb_relative_information_score: 3324.8377, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8972, predictive_accuracy: 0.8979, prior_entropy: 0.8733, recall: 0.8979, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.6014, scimark_benchmark: 1852.9988, usercpu_time_millis: 105.998, usercpu_time_millis_testing: 3.762, usercpu_time_millis_training: 102.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.8693, kappa: 0.6835, kb_relative_information_score: 2880.2431, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8689, predictive_accuracy: 0.8699, prior_entropy: 0.8733, recall: 0.8699, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.6635, scimark_benchmark: 1858.2223, usercpu_time_millis: 85.048, usercpu_time_millis_testing: 2.284, usercpu_time_millis_training: 82.764,
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: 0.9472, f_measure: 0.8859, kappa: 0.7244, kb_relative_information_score: 3033.6873, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8857, predictive_accuracy: 0.886, prior_entropy: 0.8733, recall: 0.886, relative_absolute_error: 0.4509, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.6361, scimark_benchmark: 1824.7316, usercpu_time_millis: 82.649, usercpu_time_millis_testing: 2.698, usercpu_time_millis_training: 79.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.9024, kappa: 0.7638, kb_relative_information_score: 3322.6028, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9021, predictive_accuracy: 0.9027, prior_entropy: 0.8733, recall: 0.9027, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.27, root_relative_squared_error: 0.5929, scimark_benchmark: 1804.8595, usercpu_time_millis: 75.116, usercpu_time_millis_testing: 3.319, usercpu_time_millis_training: 71.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.8855, kappa: 0.7232, kb_relative_information_score: 3125.5325, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8853, predictive_accuracy: 0.8858, prior_entropy: 0.8733, recall: 0.8858, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.6272, scimark_benchmark: 1846.8212, usercpu_time_millis: 70.071, usercpu_time_millis_testing: 2.338, usercpu_time_millis_training: 67.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9012, kappa: 0.7609, kb_relative_information_score: 3237.8578, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.901, predictive_accuracy: 0.9016, prior_entropy: 0.8733, recall: 0.9016, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.5992, scimark_benchmark: 1688.2782, usercpu_time_millis: 67.797, usercpu_time_millis_testing: 4.962, usercpu_time_millis_training: 62.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.8899, kappa: 0.7342, kb_relative_information_score: 3131.5441, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8898, predictive_accuracy: 0.8901, prior_entropy: 0.8733, recall: 0.8901, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.284, root_relative_squared_error: 0.6237, scimark_benchmark: 1830.7134, usercpu_time_millis: 108.203, usercpu_time_millis_testing: 3.835, usercpu_time_millis_training: 104.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.8839, kappa: 0.7184, kb_relative_information_score: 2895.8687, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8835, predictive_accuracy: 0.8845, prior_entropy: 0.8733, recall: 0.8845, relative_absolute_error: 0.4775, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.295, root_relative_squared_error: 0.6478, scimark_benchmark: 1859.1356, usercpu_time_millis: 60.826, usercpu_time_millis_testing: 2.998, usercpu_time_millis_training: 57.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.886, kappa: 0.7241, kb_relative_information_score: 2999.642, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8857, predictive_accuracy: 0.8864, prior_entropy: 0.8733, recall: 0.8864, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.638, scimark_benchmark: 1821.3322, usercpu_time_millis: 75.92, usercpu_time_millis_testing: 3.731, usercpu_time_millis_training: 72.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8792, kappa: 0.7078, kb_relative_information_score: 3002.8946, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8789, predictive_accuracy: 0.8795, prior_entropy: 0.8733, recall: 0.8795, relative_absolute_error: 0.4538, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.6447, scimark_benchmark: 1845.6518, usercpu_time_millis: 68.364, usercpu_time_millis_testing: 2.313, usercpu_time_millis_training: 66.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.8759, kappa: 0.6996, kb_relative_information_score: 2857.1957, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8755, predictive_accuracy: 0.8764, prior_entropy: 0.8733, recall: 0.8764, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6574, scimark_benchmark: 1806.4409, usercpu_time_millis: 57.748, usercpu_time_millis_testing: 3.107, usercpu_time_millis_training: 54.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8941, kappa: 0.7441, kb_relative_information_score: 3193.5151, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8939, predictive_accuracy: 0.8943, prior_entropy: 0.8733, recall: 0.8943, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.6131, scimark_benchmark: 1859.1356, usercpu_time_millis: 90.375, usercpu_time_millis_testing: 3.743, usercpu_time_millis_training: 86.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8579, kappa: 0.6542, kb_relative_information_score: 2518.595, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8572, predictive_accuracy: 0.8594, prior_entropy: 0.8733, recall: 0.8594, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.704, scimark_benchmark: 1821.0458, usercpu_time_millis: 72.185, usercpu_time_millis_testing: 2.326, usercpu_time_millis_training: 69.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.8907, kappa: 0.7359, kb_relative_information_score: 3111.1159, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8905, predictive_accuracy: 0.891, prior_entropy: 0.8733, recall: 0.891, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.284, root_relative_squared_error: 0.6238, scimark_benchmark: 1807.998, usercpu_time_millis: 53.801, usercpu_time_millis_testing: 2.112, usercpu_time_millis_training: 51.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8926, kappa: 0.7405, kb_relative_information_score: 3201.389, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8924, predictive_accuracy: 0.8929, prior_entropy: 0.8733, recall: 0.8929, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.6142, scimark_benchmark: 1855.3988, usercpu_time_millis: 80.249, usercpu_time_millis_testing: 2.73, usercpu_time_millis_training: 77.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8991, kappa: 0.756, kb_relative_information_score: 3245.0888, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8989, predictive_accuracy: 0.8993, prior_entropy: 0.8733, recall: 0.8993, relative_absolute_error: 0.4151, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.274, root_relative_squared_error: 0.6017, scimark_benchmark: 1820.9, usercpu_time_millis: 64.316, usercpu_time_millis_testing: 3.643, usercpu_time_millis_training: 60.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8552, kappa: 0.6469, kb_relative_information_score: 2453.2604, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8545, predictive_accuracy: 0.857, prior_entropy: 0.8733, recall: 0.857, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.7107, scimark_benchmark: 1829.1442, usercpu_time_millis: 54.195, usercpu_time_millis_testing: 2.252, usercpu_time_millis_training: 51.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8378, kappa: 0.6019, kb_relative_information_score: 2287.7135, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8372, predictive_accuracy: 0.8412, prior_entropy: 0.8733, recall: 0.8412, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.7367, scimark_benchmark: 1845.6391, usercpu_time_millis: 50.984, usercpu_time_millis_testing: 1.602, usercpu_time_millis_training: 49.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8731, kappa: 0.6926, kb_relative_information_score: 2790.7949, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8727, predictive_accuracy: 0.8738, prior_entropy: 0.8733, recall: 0.8738, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6651, scimark_benchmark: 1843.8197, usercpu_time_millis: 50.581, usercpu_time_millis_testing: 3.321, usercpu_time_millis_training: 47.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.8949, kappa: 0.7457, kb_relative_information_score: 3090.5919, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8946, predictive_accuracy: 0.8953, prior_entropy: 0.8733, recall: 0.8953, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.6185, scimark_benchmark: 1831.2443, usercpu_time_millis: 61.603, usercpu_time_millis_testing: 4.632, usercpu_time_millis_training: 56.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8702, kappa: 0.6865, kb_relative_information_score: 3519.8975, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.87, predictive_accuracy: 0.8705, prior_entropy: 0.8733, recall: 0.8705, relative_absolute_error: 0.3275, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.7191, scimark_benchmark: 1853.454, usercpu_time_millis: 79.291, usercpu_time_millis_testing: 2.516, usercpu_time_millis_training: 76.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8466, kappa: 0.6248, kb_relative_information_score: 2378.6425, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8459, predictive_accuracy: 0.8492, prior_entropy: 0.8733, recall: 0.8492, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.7244, scimark_benchmark: 1823.4294, usercpu_time_millis: 60.181, usercpu_time_millis_testing: 1.922, usercpu_time_millis_training: 58.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8771, kappa: 0.702, kb_relative_information_score: 2760.0183, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8767, predictive_accuracy: 0.8779, prior_entropy: 0.8733, recall: 0.8779, relative_absolute_error: 0.5022, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.6642, scimark_benchmark: 1826.7589, usercpu_time_millis: 52.995, usercpu_time_millis_testing: 2.855, usercpu_time_millis_training: 50.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.8749, kappa: 0.6967, kb_relative_information_score: 2882.3811, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8744, predictive_accuracy: 0.8756, prior_entropy: 0.8733, recall: 0.8756, relative_absolute_error: 0.4774, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.6557, scimark_benchmark: 1820.0566, usercpu_time_millis: 61.061, usercpu_time_millis_testing: 2.127, usercpu_time_millis_training: 58.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.8813, kappa: 0.7121, kb_relative_information_score: 2827.826, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8808, predictive_accuracy: 0.8819, prior_entropy: 0.8733, recall: 0.8819, relative_absolute_error: 0.4903, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.6559, scimark_benchmark: 1823.4294, usercpu_time_millis: 49.744, usercpu_time_millis_testing: 3.15, usercpu_time_millis_training: 46.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8745, kappa: 0.6959, kb_relative_information_score: 2831.0048, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8741, predictive_accuracy: 0.8751, prior_entropy: 0.8733, recall: 0.8751, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6614, scimark_benchmark: 1858.2223, usercpu_time_millis: 46.693, usercpu_time_millis_testing: 2.683, usercpu_time_millis_training: 44.01,
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: 0.942, f_measure: 0.8773, kappa: 0.7032, kb_relative_information_score: 2905.3716, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.877, predictive_accuracy: 0.8777, prior_entropy: 0.8733, recall: 0.8777, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.6528, scimark_benchmark: 1850.4154, usercpu_time_millis: 44.056, usercpu_time_millis_testing: 2.284, usercpu_time_millis_training: 41.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8354, kappa: 0.5991, kb_relative_information_score: 2402.1478, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8344, predictive_accuracy: 0.8372, prior_entropy: 0.8733, recall: 0.8372, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.732, scimark_benchmark: 1796.2901, usercpu_time_millis: 81.762, usercpu_time_millis_testing: 2.174, usercpu_time_millis_training: 79.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8878, kappa: 0.7282, kb_relative_information_score: 2832.7565, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8875, predictive_accuracy: 0.8884, prior_entropy: 0.8733, recall: 0.8884, relative_absolute_error: 0.4935, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.6466, scimark_benchmark: 1854.4951, usercpu_time_millis: 38.351, usercpu_time_millis_testing: 4.138, usercpu_time_millis_training: 34.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8927, kappa: 0.7406, kb_relative_information_score: 3102.4332, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8925, predictive_accuracy: 0.893, prior_entropy: 0.8733, recall: 0.893, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2825, root_relative_squared_error: 0.6203, scimark_benchmark: 1826.7589, usercpu_time_millis: 43.816, usercpu_time_millis_testing: 2.942, usercpu_time_millis_training: 40.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.7842, kappa: 0.4741, kb_relative_information_score: 1652.0947, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7825, predictive_accuracy: 0.7868, prior_entropy: 0.8733, recall: 0.7868, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.8129, scimark_benchmark: 1829.9413, usercpu_time_millis: 39.519, usercpu_time_millis_testing: 1.456, usercpu_time_millis_training: 38.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8563, kappa: 0.6501, kb_relative_information_score: 2361.4757, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8556, predictive_accuracy: 0.8579, prior_entropy: 0.8733, recall: 0.8579, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.7182, scimark_benchmark: 1854.4282, usercpu_time_millis: 38.673, usercpu_time_millis_testing: 2.022, usercpu_time_millis_training: 36.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.867, kappa: 0.6761, kb_relative_information_score: 2443.9041, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8664, predictive_accuracy: 0.8684, prior_entropy: 0.8733, recall: 0.8684, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.697, scimark_benchmark: 1823.8182, usercpu_time_millis: 34.572, usercpu_time_millis_testing: 2.823, usercpu_time_millis_training: 31.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8922, kappa: 0.7389, kb_relative_information_score: 2956.9352, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8919, predictive_accuracy: 0.8927, prior_entropy: 0.8733, recall: 0.8927, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.6305, scimark_benchmark: 1810.8374, usercpu_time_millis: 32.085, usercpu_time_millis_testing: 2.967, usercpu_time_millis_training: 29.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.89, kappa: 0.7342, kb_relative_information_score: 3162.8383, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8898, predictive_accuracy: 0.8903, prior_entropy: 0.8733, recall: 0.8903, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.6194, scimark_benchmark: 1851.0265, usercpu_time_millis: 66.476, usercpu_time_millis_testing: 2.229, usercpu_time_millis_training: 64.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8957, kappa: 0.7476, kb_relative_information_score: 3120.7255, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8954, predictive_accuracy: 0.896, prior_entropy: 0.8733, recall: 0.896, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.6161, scimark_benchmark: 1854.9533, usercpu_time_millis: 32.955, usercpu_time_millis_testing: 1.703, usercpu_time_millis_training: 31.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8699, kappa: 0.6844, kb_relative_information_score: 2758.7338, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8694, predictive_accuracy: 0.8707, prior_entropy: 0.8733, recall: 0.8707, relative_absolute_error: 0.5003, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6723, scimark_benchmark: 1842.3461, usercpu_time_millis: 42.088, usercpu_time_millis_testing: 1.538, usercpu_time_millis_training: 40.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8257, kappa: 0.5725, kb_relative_information_score: 2247.047, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8247, predictive_accuracy: 0.8292, prior_entropy: 0.8733, recall: 0.8292, relative_absolute_error: 0.5766, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.7519, scimark_benchmark: 1817.6993, usercpu_time_millis: 41.439, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 40.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8676, kappa: 0.6788, kb_relative_information_score: 2730.7755, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.867, predictive_accuracy: 0.8684, prior_entropy: 0.8733, recall: 0.8684, relative_absolute_error: 0.5046, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6762, scimark_benchmark: 1820.5148, usercpu_time_millis: 46.057, usercpu_time_millis_testing: 1.522, usercpu_time_millis_training: 44.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.889, kappa: 0.7317, kb_relative_information_score: 3159.3812, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8888, predictive_accuracy: 0.8893, prior_entropy: 0.8733, recall: 0.8893, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.6227, scimark_benchmark: 1857.1691, usercpu_time_millis: 28.35, usercpu_time_millis_testing: 0.689, usercpu_time_millis_training: 27.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8546, kappa: 0.6456, kb_relative_information_score: 2482.9034, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8539, predictive_accuracy: 0.8564, prior_entropy: 0.8733, recall: 0.8564, relative_absolute_error: 0.5469, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.7088, scimark_benchmark: 1831.2443, usercpu_time_millis: 38.249, usercpu_time_millis_testing: 1.27, usercpu_time_millis_training: 36.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8835, kappa: 0.7182, kb_relative_information_score: 2985.3663, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8832, predictive_accuracy: 0.8838, prior_entropy: 0.8733, recall: 0.8838, relative_absolute_error: 0.461, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.6399, scimark_benchmark: 1850.3603, usercpu_time_millis: 62.714, usercpu_time_millis_testing: 3.249, usercpu_time_millis_training: 59.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.902, kappa: 0.7628, kb_relative_information_score: 3218.4281, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9018, predictive_accuracy: 0.9025, prior_entropy: 0.8733, recall: 0.9025, relative_absolute_error: 0.4213, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.6021, scimark_benchmark: 1829.8, usercpu_time_millis: 35.038, usercpu_time_millis_testing: 2.292, usercpu_time_millis_training: 32.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8177, kappa: 0.5538, kb_relative_information_score: 1907.7835, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8164, predictive_accuracy: 0.8209, prior_entropy: 0.8733, recall: 0.8209, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.7707, scimark_benchmark: 1841.1577, usercpu_time_millis: 32.169, usercpu_time_millis_testing: 2.044, usercpu_time_millis_training: 30.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8575, kappa: 0.6523, kb_relative_information_score: 2282.7775, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8568, predictive_accuracy: 0.8594, prior_entropy: 0.8733, recall: 0.8594, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.7166, scimark_benchmark: 1830.7134, usercpu_time_millis: 32.967, usercpu_time_millis_testing: 2.311, usercpu_time_millis_training: 30.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8217, kappa: 0.5631, kb_relative_information_score: 1945.6923, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8206, predictive_accuracy: 0.8251, prior_entropy: 0.8733, recall: 0.8251, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7659, scimark_benchmark: 1853.9121, usercpu_time_millis: 27.561, usercpu_time_millis_testing: 1.981, usercpu_time_millis_training: 25.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9001, kappa: 0.7582, kb_relative_information_score: 3100.8409, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8998, predictive_accuracy: 0.9004, prior_entropy: 0.8733, recall: 0.9004, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.6108, scimark_benchmark: 1819.9868, usercpu_time_millis: 34.73, usercpu_time_millis_testing: 3.129, usercpu_time_millis_training: 31.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8587, kappa: 0.6565, kb_relative_information_score: 2593.6343, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.858, predictive_accuracy: 0.8599, prior_entropy: 0.8733, recall: 0.8599, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6954, scimark_benchmark: 1831.4747, usercpu_time_millis: 28.588, usercpu_time_millis_testing: 0.97, usercpu_time_millis_training: 27.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8705, kappa: 0.6855, kb_relative_information_score: 2593.1082, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.87, predictive_accuracy: 0.8716, prior_entropy: 0.8733, recall: 0.8716, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6861, scimark_benchmark: 1842.1399, usercpu_time_millis: 26.243, usercpu_time_millis_testing: 1.736, usercpu_time_millis_training: 24.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8629, kappa: 0.6663, kb_relative_information_score: 2531.0405, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8623, predictive_accuracy: 0.8644, prior_entropy: 0.8733, recall: 0.8644, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6984, scimark_benchmark: 1827.287, usercpu_time_millis: 41.65, usercpu_time_millis_testing: 1.939, usercpu_time_millis_training: 39.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.9009, kappa: 0.7597, kb_relative_information_score: 3158.9769, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9006, predictive_accuracy: 0.9014, prior_entropy: 0.8733, recall: 0.9014, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.6037, scimark_benchmark: 1851.9456, usercpu_time_millis: 23.382, usercpu_time_millis_testing: 2.091, usercpu_time_millis_training: 21.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9074, kappa: 0.7759, kb_relative_information_score: 3496.9361, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9071, predictive_accuracy: 0.9077, prior_entropy: 0.8733, recall: 0.9077, relative_absolute_error: 0.3658, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.575, scimark_benchmark: 1859.1356, usercpu_time_millis: 54.701, usercpu_time_millis_testing: 2.788, usercpu_time_millis_training: 51.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8177, kappa: 0.5547, kb_relative_information_score: 1881.2261, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8165, predictive_accuracy: 0.8205, prior_entropy: 0.8733, recall: 0.8205, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7713, scimark_benchmark: 1846.4335, usercpu_time_millis: 25.345, usercpu_time_millis_testing: 2.317, usercpu_time_millis_training: 23.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8678, kappa: 0.6791, kb_relative_information_score: 2690.4085, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8673, predictive_accuracy: 0.8688, prior_entropy: 0.8733, recall: 0.8688, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6788, scimark_benchmark: 1813.9208, usercpu_time_millis: 67.869, usercpu_time_millis_testing: 2.808, usercpu_time_millis_training: 65.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8977, kappa: 0.7526, kb_relative_information_score: 3148.5575, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8975, predictive_accuracy: 0.898, prior_entropy: 0.8733, recall: 0.898, relative_absolute_error: 0.4341, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.6107, scimark_benchmark: 1858.2223, usercpu_time_millis: 53.022, usercpu_time_millis_testing: 3.799, usercpu_time_millis_training: 49.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8649, kappa: 0.6712, kb_relative_information_score: 2399.5995, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8643, predictive_accuracy: 0.8664, prior_entropy: 0.8733, recall: 0.8664, relative_absolute_error: 0.5683, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.7025, scimark_benchmark: 1847.8629, usercpu_time_millis: 24.017, usercpu_time_millis_testing: 1.884, usercpu_time_millis_training: 22.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9023, kappa: 0.7636, kb_relative_information_score: 3197.5265, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9021, predictive_accuracy: 0.9027, prior_entropy: 0.8733, recall: 0.9027, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5988, scimark_benchmark: 1851.561, usercpu_time_millis: 25.899, usercpu_time_millis_testing: 2.298, usercpu_time_millis_training: 23.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.8925, kappa: 0.7401, kb_relative_information_score: 3169.6026, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8923, predictive_accuracy: 0.8927, prior_entropy: 0.8733, recall: 0.8927, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.28, root_relative_squared_error: 0.6149, scimark_benchmark: 1854.0399, usercpu_time_millis: 56.744, usercpu_time_millis_testing: 2.397, usercpu_time_millis_training: 54.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7824, kappa: 0.4759, kb_relative_information_score: 1506.535, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7826, predictive_accuracy: 0.7822, prior_entropy: 0.8733, recall: 0.7822, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.8287, scimark_benchmark: 1807.998, usercpu_time_millis: 21.954, usercpu_time_millis_testing: 1.443, usercpu_time_millis_training: 20.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8622, kappa: 0.6649, kb_relative_information_score: 2621.1463, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8615, predictive_accuracy: 0.8634, prior_entropy: 0.8733, recall: 0.8634, relative_absolute_error: 0.5253, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6892, scimark_benchmark: 1853.0566, usercpu_time_millis: 22.186, usercpu_time_millis_testing: 1.406, usercpu_time_millis_training: 20.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8831, kappa: 0.7169, kb_relative_information_score: 2863.1222, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8827, predictive_accuracy: 0.8836, prior_entropy: 0.8733, recall: 0.8836, relative_absolute_error: 0.4851, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6486, scimark_benchmark: 1830.308, usercpu_time_millis: 41.337, usercpu_time_millis_testing: 3.797, usercpu_time_millis_training: 37.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9008, kappa: 0.76, kb_relative_information_score: 3208.5947, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9006, predictive_accuracy: 0.9012, prior_entropy: 0.8733, recall: 0.9012, relative_absolute_error: 0.4231, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.6026, scimark_benchmark: 1840.2443, usercpu_time_millis: 43.381, usercpu_time_millis_testing: 2.955, usercpu_time_millis_training: 40.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8847, kappa: 0.7209, kb_relative_information_score: 2903.556, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8844, predictive_accuracy: 0.8853, prior_entropy: 0.8733, recall: 0.8853, relative_absolute_error: 0.4774, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.6452, scimark_benchmark: 1850.9434, usercpu_time_millis: 36.097, usercpu_time_millis_testing: 2.151, usercpu_time_millis_training: 33.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8125, kappa: 0.5399, kb_relative_information_score: 1796.0041, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8114, predictive_accuracy: 0.8166, prior_entropy: 0.8733, recall: 0.8166, relative_absolute_error: 0.6742, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7767, scimark_benchmark: 1858.6076, usercpu_time_millis: 18.027, usercpu_time_millis_testing: 1.676, usercpu_time_millis_training: 16.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.7913, kappa: 0.4873, kb_relative_information_score: 1769.1421, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7896, predictive_accuracy: 0.7961, prior_entropy: 0.8733, recall: 0.7961, relative_absolute_error: 0.6585, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.368, root_relative_squared_error: 0.8081, scimark_benchmark: 1836.0004, usercpu_time_millis: 42.771, usercpu_time_millis_testing: 1.401, usercpu_time_millis_training: 41.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8927, kappa: 0.7406, kb_relative_information_score: 3264.5636, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8925, predictive_accuracy: 0.893, prior_entropy: 0.8733, recall: 0.893, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.6098, scimark_benchmark: 1858.6775, usercpu_time_millis: 28.12, usercpu_time_millis_testing: 0.792, usercpu_time_millis_training: 27.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8744, kappa: 0.6962, kb_relative_information_score: 2900.2029, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8741, predictive_accuracy: 0.8747, prior_entropy: 0.8733, recall: 0.8747, relative_absolute_error: 0.4727, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.6581, scimark_benchmark: 1853.5818, usercpu_time_millis: 19.636, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 19.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9018, kappa: 0.7624, kb_relative_information_score: 3285.1695, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9016, predictive_accuracy: 0.9021, prior_entropy: 0.8733, recall: 0.9021, relative_absolute_error: 0.4076, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.5964, scimark_benchmark: 1809.7945, usercpu_time_millis: 48.853, usercpu_time_millis_testing: 2.912, usercpu_time_millis_training: 45.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8833, kappa: 0.7173, kb_relative_information_score: 2905.988, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8829, predictive_accuracy: 0.884, prior_entropy: 0.8733, recall: 0.884, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.6471, scimark_benchmark: 1849.9455, usercpu_time_millis: 60.987, usercpu_time_millis_testing: 2.75, usercpu_time_millis_training: 58.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8878, kappa: 0.7284, kb_relative_information_score: 2853.1467, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8875, predictive_accuracy: 0.8882, prior_entropy: 0.8733, recall: 0.8882, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.6437, scimark_benchmark: 1836.6622, usercpu_time_millis: 31.581, usercpu_time_millis_testing: 3.394, usercpu_time_millis_training: 28.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8872, kappa: 0.7275, kb_relative_information_score: 3166.5378, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.887, predictive_accuracy: 0.8875, prior_entropy: 0.8733, recall: 0.8875, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.6223, scimark_benchmark: 1862.82, usercpu_time_millis: 26.55, usercpu_time_millis_testing: 0.627, usercpu_time_millis_training: 25.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9035, kappa: 0.7664, kb_relative_information_score: 3269.4981, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9033, predictive_accuracy: 0.904, prior_entropy: 0.8733, recall: 0.904, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.5955, scimark_benchmark: 1835.5512, usercpu_time_millis: 62.145, usercpu_time_millis_testing: 4.071, usercpu_time_millis_training: 58.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8854, kappa: 0.7233, kb_relative_information_score: 3089.5188, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8853, predictive_accuracy: 0.8856, prior_entropy: 0.8733, recall: 0.8856, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.6288, scimark_benchmark: 1855.4813, usercpu_time_millis: 49.669, usercpu_time_millis_testing: 2.19, usercpu_time_millis_training: 47.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8657, kappa: 0.6729, kb_relative_information_score: 2435.9413, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8651, predictive_accuracy: 0.8671, prior_entropy: 0.8733, recall: 0.8671, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6984, scimark_benchmark: 1813.4656, usercpu_time_millis: 33.688, usercpu_time_millis_testing: 3.091, usercpu_time_millis_training: 30.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8794, kappa: 0.7082, kb_relative_information_score: 2909.5099, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8791, predictive_accuracy: 0.8797, prior_entropy: 0.8733, recall: 0.8797, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.6485, scimark_benchmark: 1813.848, usercpu_time_millis: 59.764, usercpu_time_millis_testing: 3.84, usercpu_time_millis_training: 55.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8203, kappa: 0.5604, kb_relative_information_score: 1909.9529, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8192, predictive_accuracy: 0.8235, prior_entropy: 0.8733, recall: 0.8235, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.7678, scimark_benchmark: 1842.0566, usercpu_time_millis: 24.539, usercpu_time_millis_testing: 1.892, usercpu_time_millis_training: 22.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8764, kappa: 0.6998, kb_relative_information_score: 2596.4606, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8759, predictive_accuracy: 0.8773, prior_entropy: 0.8733, recall: 0.8773, relative_absolute_error: 0.5353, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6778, scimark_benchmark: 1823.8876, usercpu_time_millis: 22.801, usercpu_time_millis_testing: 2.504, usercpu_time_millis_training: 20.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7869, kappa: 0.4798, kb_relative_information_score: 1494.7452, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7851, predictive_accuracy: 0.79, prior_entropy: 0.8733, recall: 0.79, relative_absolute_error: 0.7197, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.8206, scimark_benchmark: 1852.6747, usercpu_time_millis: 17.273, usercpu_time_millis_testing: 1.263, usercpu_time_millis_training: 16.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8722, kappa: 0.6903, kb_relative_information_score: 2818.8512, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8717, predictive_accuracy: 0.8729, prior_entropy: 0.8733, recall: 0.8729, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.303, root_relative_squared_error: 0.6654, scimark_benchmark: 1841.6886, usercpu_time_millis: 63.897, usercpu_time_millis_testing: 2.612, usercpu_time_millis_training: 61.285,

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