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Supervised Classification on monks-problems-3

Supervised Classification on monks-problems-3

Task 146066 Supervised Classification monks-problems-3 32406 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9331, kappa: 0.866, kb_relative_information_score: 258.2551, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9338, predictive_accuracy: 0.9332, prior_entropy: 0.9989, recall: 0.9332, relative_absolute_error: 0.5974, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6507, scimark_benchmark: 1856.5132, usercpu_time_millis: 0.24, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7908, kappa: 0.5818, kb_relative_information_score: 217.3903, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7972, predictive_accuracy: 0.7924, prior_entropy: 0.9989, recall: 0.7924, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.793, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.239, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9313, kappa: 0.8624, kb_relative_information_score: 277.9081, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9321, predictive_accuracy: 0.9314, prior_entropy: 0.9989, recall: 0.9314, relative_absolute_error: 0.5584, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6284, scimark_benchmark: 1857.2678, usercpu_time_millis: 0.279, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 0.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.7274, kappa: 0.4558, kb_relative_information_score: 205.5405, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7299, predictive_accuracy: 0.7274, prior_entropy: 0.9989, recall: 0.7274, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.91, scimark_benchmark: 1763.9888, usercpu_time_millis: 0.209, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9095, kappa: 0.8187, kb_relative_information_score: 276.2771, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9113, predictive_accuracy: 0.9097, prior_entropy: 0.9989, recall: 0.9097, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6392, scimark_benchmark: 1764.0455, usercpu_time_millis: 0.21, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.7111, kappa: 0.4235, kb_relative_information_score: 233.2715, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7138, predictive_accuracy: 0.7112, prior_entropy: 0.9989, recall: 0.7112, relative_absolute_error: 0.5785, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5374, root_relative_squared_error: 1.0757, scimark_benchmark: 1845.9861, usercpu_time_millis: 0.088, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.006,
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: 0.9713, f_measure: 0.9222, kappa: 0.8441, kb_relative_information_score: 246.5392, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9238, predictive_accuracy: 0.9224, prior_entropy: 0.9989, recall: 0.9224, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6675, scimark_benchmark: 1089.9174, usercpu_time_millis: 0.401, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7219, kappa: 0.4452, kb_relative_information_score: 210.3428, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.725, predictive_accuracy: 0.722, prior_entropy: 0.9989, recall: 0.722, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9375, scimark_benchmark: 1114.6602, usercpu_time_millis: 0.27, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 0.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 513.5568, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.2366, scimark_benchmark: 1820.7612, usercpu_time_millis: 1.379, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 1.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.3556, kb_relative_information_score: -0.0325, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1864.9656, usercpu_time_millis: 0.313, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 0.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 440.3234, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2468, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.364, scimark_benchmark: 1826.3808, usercpu_time_millis: 2.539, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 2.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.8425, kappa: 0.6865, kb_relative_information_score: 244.0572, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8584, predictive_accuracy: 0.8448, prior_entropy: 0.9989, recall: 0.8448, relative_absolute_error: 0.6167, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6841, scimark_benchmark: 1869.6309, usercpu_time_millis: 1.337, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3556, kb_relative_information_score: -0.0006, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 788.7237, usercpu_time_millis: 1.039, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 0.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 511.0566, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0942, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2394, scimark_benchmark: 1872.8797, usercpu_time_millis: 2.308, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 1.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 527.4732, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.2208, scimark_benchmark: 791.1719, usercpu_time_millis: 5.867, usercpu_time_millis_testing: 0.743, usercpu_time_millis_training: 5.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 279.9145, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.5722, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.298, root_relative_squared_error: 0.5964, scimark_benchmark: 1814.5806, usercpu_time_millis: 0.64, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 0.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9657, kappa: 0.9314, kb_relative_information_score: 292.5699, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9662, predictive_accuracy: 0.9657, prior_entropy: 0.9989, recall: 0.9657, relative_absolute_error: 0.5497, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.575, scimark_benchmark: 1795.5398, usercpu_time_millis: 0.661, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9874, kappa: 0.9747, kb_relative_information_score: 469.9144, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9874, predictive_accuracy: 0.9874, prior_entropy: 0.9989, recall: 0.9874, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.2969, scimark_benchmark: 1825.8498, usercpu_time_millis: 0.202, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 493.7478, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3286, scimark_benchmark: 1827.891, usercpu_time_millis: 0.316, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 471.0014, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.2903, scimark_benchmark: 1868.2531, usercpu_time_millis: 1.489, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 1.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.904, kappa: 0.8077, kb_relative_information_score: 242.106, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9068, predictive_accuracy: 0.9043, prior_entropy: 0.9989, recall: 0.9043, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.6797, scimark_benchmark: 1828.8818, usercpu_time_millis: 1.321, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.3556, kb_relative_information_score: -0.1263, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1916.362, usercpu_time_millis: 0.286, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 221.3722, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.6742, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6902, scimark_benchmark: 1914.7173, usercpu_time_millis: 0.453, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 463.7357, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9989, recall: 0.9856, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.3066, scimark_benchmark: 789.7377, usercpu_time_millis: 0.244, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.3556, kb_relative_information_score: -0.0136, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1871.7311, usercpu_time_millis: 1.061, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 320.1396, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.5709, scimark_benchmark: 790.3407, usercpu_time_millis: 0.15, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 505.8123, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.1058, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.247, scimark_benchmark: 790.9317, usercpu_time_millis: 0.866, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 285.6027, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.5869, scimark_benchmark: 788.7237, usercpu_time_millis: 1.868, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 1.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 480.4191, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3405, scimark_benchmark: 1910.7784, usercpu_time_millis: 0.819, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 0.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9657, kappa: 0.9314, kb_relative_information_score: 447.4396, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9662, predictive_accuracy: 0.9657, prior_entropy: 0.9989, recall: 0.9657, relative_absolute_error: 0.2348, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3289, scimark_benchmark: 1837.6113, usercpu_time_millis: 1.195, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 1.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 527.3754, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2343, scimark_benchmark: 1914.7173, usercpu_time_millis: 1.313, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 1.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 455.7097, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2116, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.3762, scimark_benchmark: 1816.5189, usercpu_time_millis: 0.766, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 0.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 461.3653, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9802, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.2051, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.154, root_relative_squared_error: 0.3082, scimark_benchmark: 1838.1423, usercpu_time_millis: 0.249, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 493.0895, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.2704, scimark_benchmark: 1822.3184, usercpu_time_millis: 2.176, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 1.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 386.394, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.364, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4317, scimark_benchmark: 1872.4216, usercpu_time_millis: 1.12, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 0.941,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9729, kappa: 0.9458, kb_relative_information_score: 450.6805, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9731, predictive_accuracy: 0.9729, prior_entropy: 0.9989, recall: 0.9729, relative_absolute_error: 0.2276, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3242, scimark_benchmark: 1861.8971, usercpu_time_millis: 1.685, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 1.38,
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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: 0.7648, f_measure: 0.7384, kappa: 0.4768, kb_relative_information_score: 241.9661, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7395, predictive_accuracy: 0.7383, prior_entropy: 0.9989, recall: 0.7383, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9567, scimark_benchmark: 2064.5527, usercpu_time_millis: 0.204, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9295, kappa: 0.8587, kb_relative_information_score: 274.1504, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9304, predictive_accuracy: 0.9296, prior_entropy: 0.9989, recall: 0.9296, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6308, scimark_benchmark: 1080.3968, usercpu_time_millis: 0.38, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 0.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9295, kappa: 0.8587, kb_relative_information_score: 270.4774, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9304, predictive_accuracy: 0.9296, prior_entropy: 0.9989, recall: 0.9296, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6354, scimark_benchmark: 1872.0299, usercpu_time_millis: 0.233, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 462.1016, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9802, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.3052, scimark_benchmark: 1784.8226, usercpu_time_millis: 1.17, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 410.4375, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.3938, scimark_benchmark: 1798.2114, usercpu_time_millis: 1.976, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 1.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 503.2479, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.1103, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.127, root_relative_squared_error: 0.2541, scimark_benchmark: 1742.7467, usercpu_time_millis: 2.441, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 1.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 429.8282, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.3772, scimark_benchmark: 1749.3643, usercpu_time_millis: 0.704, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 456.0379, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3418, scimark_benchmark: 1790.7414, usercpu_time_millis: 1.392, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 1.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 475.3425, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.1763, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.2815, scimark_benchmark: 1794.1114, usercpu_time_millis: 1.043, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 0.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 246.6657, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.6306, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6509, scimark_benchmark: 1767.7895, usercpu_time_millis: 1.921, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 1.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9675, kappa: 0.935, kb_relative_information_score: 438.2566, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9679, predictive_accuracy: 0.9675, prior_entropy: 0.9989, recall: 0.9675, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3469, scimark_benchmark: 1764.8547, usercpu_time_millis: 2.611, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 2.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 525.948, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0572, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.2327, scimark_benchmark: 1855.9683, usercpu_time_millis: 2.948, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 2.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 532.2393, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0449, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.2134, scimark_benchmark: 1733.1462, usercpu_time_millis: 3.297, usercpu_time_millis_testing: 0.623, usercpu_time_millis_training: 2.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4959, f_measure: 0.3556, kb_relative_information_score: -0.015, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 749.365, usercpu_time_millis: 1.624, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 1.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 477.9917, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.151, root_relative_squared_error: 0.3022, scimark_benchmark: 749.3189, usercpu_time_millis: 1.287, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 1.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 507.3817, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.1016, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.2454, scimark_benchmark: 748.8598, usercpu_time_millis: 4.442, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 3.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9747, kappa: 0.9494, kb_relative_information_score: 455.5915, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9748, predictive_accuracy: 0.9747, prior_entropy: 0.9989, recall: 0.9747, relative_absolute_error: 0.2173, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3161, scimark_benchmark: 1773.913, usercpu_time_millis: 3.374, usercpu_time_millis_testing: 0.558, usercpu_time_millis_training: 2.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.3556, kb_relative_information_score: 0.0354, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1790.3228, usercpu_time_millis: 0.586, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 467.8473, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.3687, scimark_benchmark: 1794.2835, usercpu_time_millis: 1.483, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8633, kappa: 0.7271, kb_relative_information_score: 242.5105, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8737, predictive_accuracy: 0.8646, prior_entropy: 0.9989, recall: 0.8646, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6849, scimark_benchmark: 1787.1763, usercpu_time_millis: 0.446, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 223.0051, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6881, scimark_benchmark: 1767.0622, usercpu_time_millis: 0.726, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 321.6498, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.5382, scimark_benchmark: 1790.7414, usercpu_time_millis: 1.334, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 1.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 501.0687, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9989, recall: 0.9856, relative_absolute_error: 0.1131, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.2652, scimark_benchmark: 1762.1986, usercpu_time_millis: 0.295, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 483.9484, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3424, scimark_benchmark: 1764.0448, usercpu_time_millis: 0.79, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 0.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 331.408, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.4745, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.259, root_relative_squared_error: 0.5185, scimark_benchmark: 1767.7895, usercpu_time_millis: 1.042, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 0.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 287.6341, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.5589, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5827, scimark_benchmark: 1792.545, usercpu_time_millis: 2.383, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 2.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 494.2542, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3223, scimark_benchmark: 1859.6227, usercpu_time_millis: 1.668, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 1.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 227.6779, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.6803, scimark_benchmark: 1736.3654, usercpu_time_millis: 1.926, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 1.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 518.8752, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0761, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.2288, scimark_benchmark: 1852.8293, usercpu_time_millis: 1.994, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 1.661,

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

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From your own software

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

OpenML APIs