OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 145853 Supervised Classification madelon 38804 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, f_measure: 0.6159, kappa: 0.2323, kb_relative_information_score: 182.4603, mean_absolute_error: 0.4728, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6164, predictive_accuracy: 0.6162, prior_entropy: 1, recall: 0.6162, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.9655, scimark_benchmark: 1464.8816, usercpu_time_millis: 41.577, usercpu_time_millis_testing: 0.699, usercpu_time_millis_training: 40.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.823, kappa: 0.6462, kb_relative_information_score: 949.9049, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8234, predictive_accuracy: 0.8231, prior_entropy: 1, recall: 0.8231, relative_absolute_error: 0.6806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7632, scimark_benchmark: 1739.4495, usercpu_time_millis: 749.741, usercpu_time_millis_testing: 1.41, usercpu_time_millis_training: 748.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8369, kappa: 0.6738, kb_relative_information_score: 894.0247, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8374, predictive_accuracy: 0.8369, prior_entropy: 1, recall: 0.8369, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7655, scimark_benchmark: 1714.3066, usercpu_time_millis: 504.886, usercpu_time_millis_testing: 1.713, usercpu_time_millis_training: 503.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.7244, kappa: 0.45, kb_relative_information_score: 631.7308, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7269, predictive_accuracy: 0.725, prior_entropy: 1, recall: 0.725, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8587, scimark_benchmark: 1726.8336, usercpu_time_millis: 180.861, usercpu_time_millis_testing: 0.726, usercpu_time_millis_training: 180.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8156, kappa: 0.6315, kb_relative_information_score: 799.6162, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8171, predictive_accuracy: 0.8158, prior_entropy: 1, recall: 0.8158, relative_absolute_error: 0.7397, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.7914, scimark_benchmark: 1741.307, usercpu_time_millis: 159.95, usercpu_time_millis_testing: 0.899, usercpu_time_millis_training: 159.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.6688, kappa: 0.3469, kb_relative_information_score: 404.6364, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6838, predictive_accuracy: 0.6735, prior_entropy: 1, recall: 0.6735, relative_absolute_error: 0.8701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9222, scimark_benchmark: 1739.955, usercpu_time_millis: 105.327, usercpu_time_millis_testing: 0.634, usercpu_time_millis_training: 104.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.8134, kappa: 0.6269, kb_relative_information_score: 910.8295, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.814, predictive_accuracy: 0.8135, prior_entropy: 1, recall: 0.8135, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7768, scimark_benchmark: 1792.8046, usercpu_time_millis: 89.818, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 89.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.6938, kappa: 0.3962, kb_relative_information_score: 423.5066, mean_absolute_error: 0.4322, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7098, predictive_accuracy: 0.6981, prior_entropy: 1, recall: 0.6981, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9057, scimark_benchmark: 1710.815, usercpu_time_millis: 84.354, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 83.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.729, kappa: 0.4615, kb_relative_information_score: 549.8119, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.737, predictive_accuracy: 0.7308, prior_entropy: 1, recall: 0.7308, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.873, scimark_benchmark: 1716.6197, usercpu_time_millis: 59.864, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 59.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1733.8168, usercpu_time_millis: 5.811, usercpu_time_millis_testing: 0.996, usercpu_time_millis_training: 4.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, f_measure: 0.6096, kappa: 0.2192, kb_relative_information_score: 138.7845, mean_absolute_error: 0.4797, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6097, predictive_accuracy: 0.6096, prior_entropy: 1, recall: 0.6096, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9714, scimark_benchmark: 1730.1694, usercpu_time_millis: 3.394, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 2.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1720.6321, usercpu_time_millis: 2.921, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 2.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8461, kappa: 0.6923, kb_relative_information_score: 1294.277, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8463, predictive_accuracy: 0.8462, prior_entropy: 1, recall: 0.8462, relative_absolute_error: 0.5408, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.6918, scimark_benchmark: 1732.8818, usercpu_time_millis: 833.404, usercpu_time_millis_testing: 1.485, usercpu_time_millis_training: 831.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.679, kappa: 0.36, kb_relative_information_score: 379.8745, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6823, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9238, scimark_benchmark: 1734.6795, usercpu_time_millis: 85.15, usercpu_time_millis_testing: 0.709, usercpu_time_millis_training: 84.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8446, kappa: 0.6892, kb_relative_information_score: 1264.5885, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8448, predictive_accuracy: 0.8446, prior_entropy: 1, recall: 0.8446, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.6979, scimark_benchmark: 1831.2443, usercpu_time_millis: 1841.15, usercpu_time_millis_testing: 2.21, usercpu_time_millis_training: 1838.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8234, kappa: 0.6469, kb_relative_information_score: 933.1254, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.824, predictive_accuracy: 0.8235, prior_entropy: 1, recall: 0.8235, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7657, scimark_benchmark: 1828.2308, usercpu_time_millis: 1001.405, usercpu_time_millis_testing: 1.562, usercpu_time_millis_training: 999.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.8144, kappa: 0.6292, kb_relative_information_score: 832.2442, mean_absolute_error: 0.3621, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8158, predictive_accuracy: 0.8146, prior_entropy: 1, recall: 0.8146, relative_absolute_error: 0.7243, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7933, scimark_benchmark: 1834.1796, usercpu_time_millis: 969.614, usercpu_time_millis_testing: 1.983, usercpu_time_millis_training: 967.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8365, kappa: 0.6731, kb_relative_information_score: 917.2618, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8369, predictive_accuracy: 0.8365, prior_entropy: 1, recall: 0.8365, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.7602, scimark_benchmark: 1828.686, usercpu_time_millis: 593.334, usercpu_time_millis_testing: 2.389, usercpu_time_millis_training: 590.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8357, kappa: 0.6715, kb_relative_information_score: 1034.8617, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.836, predictive_accuracy: 0.8358, prior_entropy: 1, recall: 0.8358, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.737, scimark_benchmark: 1846.2342, usercpu_time_millis: 465.675, usercpu_time_millis_testing: 0.865, usercpu_time_millis_training: 464.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7506, kappa: 0.5031, kb_relative_information_score: 656.0238, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7555, predictive_accuracy: 0.7515, prior_entropy: 1, recall: 0.7515, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.422, root_relative_squared_error: 0.844, scimark_benchmark: 2013.4928, usercpu_time_millis: 403.639, usercpu_time_millis_testing: 1.472, usercpu_time_millis_training: 402.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8238, kappa: 0.6477, kb_relative_information_score: 965.8214, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8242, predictive_accuracy: 0.8238, prior_entropy: 1, recall: 0.8238, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7586, scimark_benchmark: 1854.5679, usercpu_time_millis: 384.849, usercpu_time_millis_testing: 0.772, usercpu_time_millis_training: 384.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.8284, kappa: 0.6569, kb_relative_information_score: 979.4347, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8287, predictive_accuracy: 0.8285, prior_entropy: 1, recall: 0.8285, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7531, scimark_benchmark: 1857.0384, usercpu_time_millis: 356.478, usercpu_time_millis_testing: 0.647, usercpu_time_millis_training: 355.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7228, kappa: 0.45, kb_relative_information_score: 459.6761, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7323, predictive_accuracy: 0.725, prior_entropy: 1, recall: 0.725, relative_absolute_error: 0.8544, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8913, scimark_benchmark: 1857.1082, usercpu_time_millis: 347.378, usercpu_time_millis_testing: 1.529, usercpu_time_millis_training: 345.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7193, kappa: 0.4431, kb_relative_information_score: 558.9134, mean_absolute_error: 0.4068, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.729, predictive_accuracy: 0.7215, prior_entropy: 1, recall: 0.7215, relative_absolute_error: 0.8137, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.8757, scimark_benchmark: 1828.091, usercpu_time_millis: 224.078, usercpu_time_millis_testing: 0.954, usercpu_time_millis_training: 223.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.818, kappa: 0.6362, kb_relative_information_score: 1069.398, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8188, predictive_accuracy: 0.8181, prior_entropy: 1, recall: 0.8181, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7479, scimark_benchmark: 1841.0312, usercpu_time_millis: 192.521, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 192.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.7619, kappa: 0.5262, kb_relative_information_score: 605.2878, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7683, predictive_accuracy: 0.7631, prior_entropy: 1, recall: 0.7631, relative_absolute_error: 0.8066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8466, scimark_benchmark: 1823.2473, usercpu_time_millis: 152.219, usercpu_time_millis_testing: 1.275, usercpu_time_millis_training: 150.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8264, kappa: 0.6531, kb_relative_information_score: 855.4057, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8273, predictive_accuracy: 0.8265, prior_entropy: 1, recall: 0.8265, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7781, scimark_benchmark: 1857.5664, usercpu_time_millis: 109.854, usercpu_time_millis_testing: 0.597, usercpu_time_millis_training: 109.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.818, kappa: 0.6362, kb_relative_information_score: 861.6355, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8188, predictive_accuracy: 0.8181, prior_entropy: 1, recall: 0.8181, relative_absolute_error: 0.7147, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7821, scimark_benchmark: 1846.1643, usercpu_time_millis: 74.061, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 73.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, f_measure: 0.6155, kappa: 0.2315, kb_relative_information_score: 191.7598, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.616, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9687, scimark_benchmark: 1858.6076, usercpu_time_millis: 65.065, usercpu_time_millis_testing: 0.689, usercpu_time_millis_training: 64.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8307, kappa: 0.6615, kb_relative_information_score: 1079.8815, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.831, predictive_accuracy: 0.8308, prior_entropy: 1, recall: 0.8308, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7325, scimark_benchmark: 1731.8553, usercpu_time_millis: 57.788, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 57.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.7536, kappa: 0.5092, kb_relative_information_score: 504.1946, mean_absolute_error: 0.4213, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.759, predictive_accuracy: 0.7546, prior_entropy: 1, recall: 0.7546, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8702, scimark_benchmark: 1822.3184, usercpu_time_millis: 57.659, usercpu_time_millis_testing: 0.907, usercpu_time_millis_training: 56.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.6141, kappa: 0.2285, kb_relative_information_score: 183.2355, mean_absolute_error: 0.4727, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6144, predictive_accuracy: 0.6142, prior_entropy: 1, recall: 0.6142, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4836, root_relative_squared_error: 0.9672, scimark_benchmark: 1738.5368, usercpu_time_millis: 46.027, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 45.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.7612, kappa: 0.5246, kb_relative_information_score: 557.143, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7671, predictive_accuracy: 0.7623, prior_entropy: 1, recall: 0.7623, relative_absolute_error: 0.8244, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8565, scimark_benchmark: 1836.0792, usercpu_time_millis: 45.466, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 44.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.833, kappa: 0.6662, kb_relative_information_score: 901.6126, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8338, predictive_accuracy: 0.8331, prior_entropy: 1, recall: 0.8331, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7638, scimark_benchmark: 1846.6923, usercpu_time_millis: 42.164, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 41.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.7225, kappa: 0.4477, kb_relative_information_score: 356.2921, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7283, predictive_accuracy: 0.7238, prior_entropy: 1, recall: 0.7238, relative_absolute_error: 0.8916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9096, scimark_benchmark: 1735.8766, usercpu_time_millis: 29.149, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 28.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.6769, kappa: 0.3554, kb_relative_information_score: 252.6156, mean_absolute_error: 0.4624, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6794, predictive_accuracy: 0.6777, prior_entropy: 1, recall: 0.6777, relative_absolute_error: 0.9248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9364, scimark_benchmark: 1849.3014, usercpu_time_millis: 36.01, usercpu_time_millis_testing: 1.332, usercpu_time_millis_training: 34.678,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.8053, kappa: 0.6108, kb_relative_information_score: 982.2862, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8059, predictive_accuracy: 0.8054, prior_entropy: 1, recall: 0.8054, relative_absolute_error: 0.6633, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7695, scimark_benchmark: 1760.8913, usercpu_time_millis: 19.39, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 18.989,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1751.2061, usercpu_time_millis: 5.559, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 4.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.653, kappa: 0.3092, kb_relative_information_score: 293.2872, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6575, predictive_accuracy: 0.6546, prior_entropy: 1, recall: 0.6546, relative_absolute_error: 0.9099, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4678, root_relative_squared_error: 0.9356, scimark_benchmark: 1854.5679, usercpu_time_millis: 4.001, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 3.641,
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: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1858.6076, usercpu_time_millis: 2.843, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 2.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 1265.7585, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8602, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6797, scimark_benchmark: 2021.5753, usercpu_time_millis: 1007.967, usercpu_time_millis_testing: 1.98, usercpu_time_millis_training: 1005.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8296, kappa: 0.6592, kb_relative_information_score: 1068.1501, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8299, predictive_accuracy: 0.8296, prior_entropy: 1, recall: 0.8296, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7358, scimark_benchmark: 1838.3083, usercpu_time_millis: 683.035, usercpu_time_millis_testing: 0.86, usercpu_time_millis_training: 682.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.835, kappa: 0.67, kb_relative_information_score: 987.6527, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8352, predictive_accuracy: 0.835, prior_entropy: 1, recall: 0.835, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7468, scimark_benchmark: 1741.8615, usercpu_time_millis: 611.75, usercpu_time_millis_testing: 1.366, usercpu_time_millis_training: 610.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8102, kappa: 0.6208, kb_relative_information_score: 837.3749, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8113, predictive_accuracy: 0.8104, prior_entropy: 1, recall: 0.8104, relative_absolute_error: 0.7224, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.396, root_relative_squared_error: 0.792, scimark_benchmark: 1818.2206, usercpu_time_millis: 595.637, usercpu_time_millis_testing: 1.336, usercpu_time_millis_training: 594.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8327, kappa: 0.6654, kb_relative_information_score: 1027.0988, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8329, predictive_accuracy: 0.8327, prior_entropy: 1, recall: 0.8327, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.7398, scimark_benchmark: 1781.3521, usercpu_time_millis: 423.496, usercpu_time_millis_testing: 0.925, usercpu_time_millis_training: 422.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.7934, kappa: 0.5877, kb_relative_information_score: 740.6645, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7962, predictive_accuracy: 0.7938, prior_entropy: 1, recall: 0.7938, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8134, scimark_benchmark: 1845.7061, usercpu_time_millis: 288.544, usercpu_time_millis_testing: 1.401, usercpu_time_millis_training: 287.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8608, kappa: 0.7215, kb_relative_information_score: 1341.3515, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8608, predictive_accuracy: 0.8608, prior_entropy: 1, recall: 0.8608, relative_absolute_error: 0.5266, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6653, scimark_benchmark: 2021.5224, usercpu_time_millis: 284.864, usercpu_time_millis_testing: 0.828, usercpu_time_millis_training: 284.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8055, kappa: 0.6115, kb_relative_information_score: 824.493, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8072, predictive_accuracy: 0.8058, prior_entropy: 1, recall: 0.8058, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.7964, scimark_benchmark: 1743.1284, usercpu_time_millis: 156.106, usercpu_time_millis_testing: 0.462, usercpu_time_millis_training: 155.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7506, kappa: 0.5031, kb_relative_information_score: 461.1976, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7552, predictive_accuracy: 0.7515, prior_entropy: 1, recall: 0.7515, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8804, scimark_benchmark: 1108.8444, usercpu_time_millis: 104.424, usercpu_time_millis_testing: 2.712, usercpu_time_millis_training: 101.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8196, kappa: 0.6392, kb_relative_information_score: 1396.3682, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8196, predictive_accuracy: 0.8196, prior_entropy: 1, recall: 0.8196, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7291, scimark_benchmark: 2020.6799, usercpu_time_millis: 68.077, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 67.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.7162, kappa: 0.4362, kb_relative_information_score: 423.4643, mean_absolute_error: 0.4336, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7239, predictive_accuracy: 0.7181, prior_entropy: 1, recall: 0.7181, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.8984, scimark_benchmark: 1765.2031, usercpu_time_millis: 73.062, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 72.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.761, kappa: 0.5238, kb_relative_information_score: 627.4071, mean_absolute_error: 0.3982, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7662, predictive_accuracy: 0.7619, prior_entropy: 1, recall: 0.7619, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8476, scimark_benchmark: 2021.5224, usercpu_time_millis: 68.476, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 67.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8373, kappa: 0.6746, kb_relative_information_score: 1224.528, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8375, predictive_accuracy: 0.8373, prior_entropy: 1, recall: 0.8373, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7116, scimark_benchmark: 1757.5619, usercpu_time_millis: 37.212, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 36.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.7149, kappa: 0.4323, kb_relative_information_score: 393.0285, mean_absolute_error: 0.4392, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.72, predictive_accuracy: 0.7162, prior_entropy: 1, recall: 0.7162, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9028, scimark_benchmark: 1741.2746, usercpu_time_millis: 37.433, usercpu_time_millis_testing: 0.847, usercpu_time_millis_training: 36.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.6814, kappa: 0.3669, kb_relative_information_score: 358.462, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6884, predictive_accuracy: 0.6835, prior_entropy: 1, recall: 0.6835, relative_absolute_error: 0.8884, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9203, scimark_benchmark: 1916.7928, usercpu_time_millis: 33.821, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 33.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.7196, kappa: 0.4423, kb_relative_information_score: 495.8969, mean_absolute_error: 0.4205, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7261, predictive_accuracy: 0.7212, prior_entropy: 1, recall: 0.7212, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8842, scimark_benchmark: 1752.2594, usercpu_time_millis: 24.637, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 24.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1806.5401, usercpu_time_millis: 2.219, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 1.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1760.9123, usercpu_time_millis: 2.561, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 2.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.748, kappa: 0.4977, kb_relative_information_score: 658.1802, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7522, predictive_accuracy: 0.7488, prior_entropy: 1, recall: 0.7488, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8418, scimark_benchmark: 2023.4937, usercpu_time_millis: 15.619, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 15.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8338, kappa: 0.6677, kb_relative_information_score: 1049.2169, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8342, predictive_accuracy: 0.8338, prior_entropy: 1, recall: 0.8338, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.7356, scimark_benchmark: 1736.5552, usercpu_time_millis: 646.851, usercpu_time_millis_testing: 1.05, usercpu_time_millis_training: 645.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8354, kappa: 0.6708, kb_relative_information_score: 1061.0394, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8355, predictive_accuracy: 0.8354, prior_entropy: 1, recall: 0.8354, relative_absolute_error: 0.6393, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7333, scimark_benchmark: 1735.2934, usercpu_time_millis: 492.926, usercpu_time_millis_testing: 1.143, usercpu_time_millis_training: 491.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7345, kappa: 0.4708, kb_relative_information_score: 639.8276, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7387, predictive_accuracy: 0.7354, prior_entropy: 1, recall: 0.7354, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8521, scimark_benchmark: 1734.7321, usercpu_time_millis: 306.986, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 306.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8646, kappa: 0.7292, kb_relative_information_score: 1168.7213, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8649, predictive_accuracy: 0.8646, prior_entropy: 1, recall: 0.8646, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.6939, scimark_benchmark: 1735.1328, usercpu_time_millis: 237.851, usercpu_time_millis_testing: 1.268, usercpu_time_millis_training: 236.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.7195, kappa: 0.4438, kb_relative_information_score: 476.5273, mean_absolute_error: 0.4234, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.73, predictive_accuracy: 0.7219, prior_entropy: 1, recall: 0.7219, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.8912, scimark_benchmark: 1733.8252, usercpu_time_millis: 234.134, usercpu_time_millis_testing: 1.032, usercpu_time_millis_training: 233.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.805, kappa: 0.6108, kb_relative_information_score: 721.6684, mean_absolute_error: 0.3839, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8075, predictive_accuracy: 0.8054, prior_entropy: 1, recall: 0.8054, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8114, scimark_benchmark: 1740.1131, usercpu_time_millis: 223.383, usercpu_time_millis_testing: 2.224, usercpu_time_millis_training: 221.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7781, kappa: 0.5577, kb_relative_information_score: 668.6887, mean_absolute_error: 0.3924, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7828, predictive_accuracy: 0.7788, prior_entropy: 1, recall: 0.7788, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8288, scimark_benchmark: 1732.8983, usercpu_time_millis: 138.886, usercpu_time_millis_testing: 1.297, usercpu_time_millis_training: 137.589,

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