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: 0.8988, f_measure: 0.8284, kappa: 0.6569, kb_relative_information_score: 964.834, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8289, predictive_accuracy: 0.8285, prior_entropy: 1, recall: 0.8285, relative_absolute_error: 0.6757, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7567, scimark_benchmark: 1831.2818, usercpu_time_millis: 481.991, usercpu_time_millis_testing: 0.881, usercpu_time_millis_training: 481.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.7541, kappa: 0.5108, kb_relative_information_score: 586.8858, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.761, predictive_accuracy: 0.7554, prior_entropy: 1, recall: 0.7554, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8526, scimark_benchmark: 1849.4763, usercpu_time_millis: 298.814, usercpu_time_millis_testing: 1.919, usercpu_time_millis_training: 296.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.8164, kappa: 0.6331, kb_relative_information_score: 893.5826, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8175, predictive_accuracy: 0.8165, prior_entropy: 1, recall: 0.8165, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7756, scimark_benchmark: 1812.0454, usercpu_time_millis: 252.452, usercpu_time_millis_testing: 0.954, usercpu_time_millis_training: 251.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.6941, kappa: 0.3938, kb_relative_information_score: 525.2748, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7044, predictive_accuracy: 0.6969, prior_entropy: 1, recall: 0.6969, relative_absolute_error: 0.824, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8865, scimark_benchmark: 1838.8656, usercpu_time_millis: 221.872, usercpu_time_millis_testing: 0.839, usercpu_time_millis_training: 221.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.6154, kappa: 0.2308, kb_relative_information_score: 248.9728, mean_absolute_error: 0.4619, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6154, predictive_accuracy: 0.6154, prior_entropy: 1, recall: 0.6154, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9489, scimark_benchmark: 1812.4911, usercpu_time_millis: 110.475, usercpu_time_millis_testing: 1.245, usercpu_time_millis_training: 109.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.6152, kappa: 0.2308, kb_relative_information_score: 196.5147, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6156, predictive_accuracy: 0.6154, prior_entropy: 1, recall: 0.6154, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.483, root_relative_squared_error: 0.9661, scimark_benchmark: 1809.5622, usercpu_time_millis: 88.21, usercpu_time_millis_testing: 0.843, usercpu_time_millis_training: 87.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.6106, kappa: 0.2215, kb_relative_information_score: 162.1255, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6109, predictive_accuracy: 0.6108, prior_entropy: 1, recall: 0.6108, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9675, scimark_benchmark: 1813.7356, usercpu_time_millis: 47.226, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 46.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.6754, kappa: 0.3562, kb_relative_information_score: 362.4567, mean_absolute_error: 0.4432, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6842, predictive_accuracy: 0.6781, prior_entropy: 1, recall: 0.6781, relative_absolute_error: 0.8864, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9169, scimark_benchmark: 1905.6103, usercpu_time_millis: 23.206, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 22.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.6906, kappa: 0.3831, kb_relative_information_score: 285.4999, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6938, predictive_accuracy: 0.6915, prior_entropy: 1, recall: 0.6915, relative_absolute_error: 0.9143, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9286, scimark_benchmark: 1848.388, usercpu_time_millis: 21.351, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 20.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.7837, kappa: 0.5677, kb_relative_information_score: 769.9511, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7845, predictive_accuracy: 0.7838, prior_entropy: 1, recall: 0.7838, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8165, scimark_benchmark: 1852.0126, usercpu_time_millis: 19.555, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 19.304,
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: 1732.8983, usercpu_time_millis: 3.168, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 2.628,
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: 1846.3769, usercpu_time_millis: 2.047, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 1.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.85, kappa: 0.7, kb_relative_information_score: 1237.1843, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8501, predictive_accuracy: 0.85, prior_entropy: 1, recall: 0.85, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.6949, scimark_benchmark: 1828.7746, usercpu_time_millis: 1763.382, usercpu_time_millis_testing: 2.214, usercpu_time_millis_training: 1761.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8269, kappa: 0.6538, kb_relative_information_score: 968.0737, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8273, predictive_accuracy: 0.8269, prior_entropy: 1, recall: 0.8269, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7563, scimark_benchmark: 1811.4079, usercpu_time_millis: 1152.176, usercpu_time_millis_testing: 1.731, usercpu_time_millis_training: 1150.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8277, kappa: 0.6554, kb_relative_information_score: 1007.9608, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.828, predictive_accuracy: 0.8277, prior_entropy: 1, recall: 0.8277, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7486, scimark_benchmark: 1827.4655, usercpu_time_millis: 801.819, usercpu_time_millis_testing: 1.324, usercpu_time_millis_training: 800.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8199, kappa: 0.64, kb_relative_information_score: 823.8804, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8208, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.7297, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.7885, scimark_benchmark: 1826.3384, usercpu_time_millis: 795.367, usercpu_time_millis_testing: 2.889, usercpu_time_millis_training: 792.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.843, kappa: 0.6862, kb_relative_information_score: 978.9857, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8437, predictive_accuracy: 0.8431, prior_entropy: 1, recall: 0.8431, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7425, scimark_benchmark: 1735.6941, usercpu_time_millis: 395.734, usercpu_time_millis_testing: 2.08, usercpu_time_millis_training: 393.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8203, kappa: 0.6408, kb_relative_information_score: 959.1662, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8208, predictive_accuracy: 0.8204, prior_entropy: 1, recall: 0.8204, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7624, scimark_benchmark: 1827.1747, usercpu_time_millis: 310.63, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 310.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8488, kappa: 0.6977, kb_relative_information_score: 1108.6998, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.849, predictive_accuracy: 0.8488, prior_entropy: 1, recall: 0.8488, relative_absolute_error: 0.621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7177, scimark_benchmark: 1853.9849, usercpu_time_millis: 196.999, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 196.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.7725, kappa: 0.5469, kb_relative_information_score: 653.6443, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7783, predictive_accuracy: 0.7735, prior_entropy: 1, recall: 0.7735, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8338, scimark_benchmark: 1856.1949, usercpu_time_millis: 193.07, usercpu_time_millis_testing: 1.408, usercpu_time_millis_training: 191.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8457, kappa: 0.6915, kb_relative_information_score: 1379.2531, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.846, predictive_accuracy: 0.8458, prior_entropy: 1, recall: 0.8458, relative_absolute_error: 0.5034, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.343, root_relative_squared_error: 0.686, scimark_benchmark: 1812.885, usercpu_time_millis: 178.285, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 177.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8292, kappa: 0.6585, kb_relative_information_score: 960.8358, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8295, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7557, scimark_benchmark: 1839.1443, usercpu_time_millis: 153.522, usercpu_time_millis_testing: 0.811, usercpu_time_millis_training: 152.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.7632, kappa: 0.5277, kb_relative_information_score: 684.7717, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7666, predictive_accuracy: 0.7638, prior_entropy: 1, recall: 0.7638, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8353, scimark_benchmark: 1791.7907, usercpu_time_millis: 110.201, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 109.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.6866, kappa: 0.3785, kb_relative_information_score: 372.6371, mean_absolute_error: 0.4418, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6957, predictive_accuracy: 0.6892, prior_entropy: 1, recall: 0.6892, relative_absolute_error: 0.8836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9125, scimark_benchmark: 1844.7928, usercpu_time_millis: 91.415, usercpu_time_millis_testing: 1.074, usercpu_time_millis_training: 90.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8388, kappa: 0.6777, kb_relative_information_score: 928.3351, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8393, predictive_accuracy: 0.8388, prior_entropy: 1, recall: 0.8388, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7582, scimark_benchmark: 1855.6669, usercpu_time_millis: 28.288, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 27.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.6901, kappa: 0.3838, kb_relative_information_score: 359.9061, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6964, predictive_accuracy: 0.6919, prior_entropy: 1, recall: 0.6919, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9209, scimark_benchmark: 1848.5692, usercpu_time_millis: 28.672, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 28.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6587, f_measure: 0.6136, kappa: 0.2277, kb_relative_information_score: 146.8561, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6142, predictive_accuracy: 0.6138, prior_entropy: 1, recall: 0.6138, relative_absolute_error: 0.957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9693, scimark_benchmark: 1846.3769, usercpu_time_millis: 20.503, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 19.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, 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: 1721.3501, usercpu_time_millis: 5.701, usercpu_time_millis_testing: 0.895, usercpu_time_millis_training: 4.806,
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: 1835.7111, usercpu_time_millis: 5.442, usercpu_time_millis_testing: 0.694, usercpu_time_millis_training: 4.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4505, 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: 1817.8312, usercpu_time_millis: 4.944, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 4.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.6975, kappa: 0.3977, kb_relative_information_score: 338.2332, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7025, predictive_accuracy: 0.6988, prior_entropy: 1, recall: 0.6988, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9184, scimark_benchmark: 1825.1985, usercpu_time_millis: 4.187, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 3.784,
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: 1847.7442, usercpu_time_millis: 2.613, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 2.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.8423, kappa: 0.6846, kb_relative_information_score: 1316.4912, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8424, predictive_accuracy: 0.8423, prior_entropy: 1, recall: 0.8423, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6916, scimark_benchmark: 815.8968, usercpu_time_millis: 3181.854, usercpu_time_millis_testing: 2.903, usercpu_time_millis_training: 3178.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8361, kappa: 0.6723, kb_relative_information_score: 1085.711, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8364, predictive_accuracy: 0.8362, prior_entropy: 1, recall: 0.8362, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7289, scimark_benchmark: 1854.1097, usercpu_time_millis: 1827.792, usercpu_time_millis_testing: 2.382, usercpu_time_millis_training: 1825.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8565, kappa: 0.7131, kb_relative_information_score: 1209.1757, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8567, predictive_accuracy: 0.8565, prior_entropy: 1, recall: 0.8565, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6909, scimark_benchmark: 1747.8051, usercpu_time_millis: 1083.569, usercpu_time_millis_testing: 2.468, usercpu_time_millis_training: 1081.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8704, kappa: 0.7408, kb_relative_information_score: 1309.1707, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8704, predictive_accuracy: 0.8704, prior_entropy: 1, recall: 0.8704, relative_absolute_error: 0.543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6637, scimark_benchmark: 1856.1949, usercpu_time_millis: 734.292, usercpu_time_millis_testing: 1.96, usercpu_time_millis_training: 732.332,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.7427, kappa: 0.4885, kb_relative_information_score: 576.2754, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7503, predictive_accuracy: 0.7442, prior_entropy: 1, recall: 0.7442, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.8625, scimark_benchmark: 1738.3914, usercpu_time_millis: 244.278, usercpu_time_millis_testing: 1.108, usercpu_time_millis_training: 243.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7481, kappa: 0.4992, kb_relative_information_score: 622.2134, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7556, predictive_accuracy: 0.7496, prior_entropy: 1, recall: 0.7496, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8508, scimark_benchmark: 1830.6952, usercpu_time_millis: 234.243, usercpu_time_millis_testing: 0.975, usercpu_time_millis_training: 233.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.7685, kappa: 0.5392, kb_relative_information_score: 588.2367, mean_absolute_error: 0.4073, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7748, predictive_accuracy: 0.7696, prior_entropy: 1, recall: 0.7696, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8467, scimark_benchmark: 1846.7651, usercpu_time_millis: 134.738, usercpu_time_millis_testing: 2.329, usercpu_time_millis_training: 132.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7058, kappa: 0.4154, kb_relative_information_score: 436.1627, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.713, predictive_accuracy: 0.7077, prior_entropy: 1, recall: 0.7077, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.45, root_relative_squared_error: 0.8999, scimark_benchmark: 1839.7911, usercpu_time_millis: 134.408, usercpu_time_millis_testing: 1.078, usercpu_time_millis_training: 133.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.6857, kappa: 0.3754, kb_relative_information_score: 379.4473, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6926, predictive_accuracy: 0.6877, prior_entropy: 1, recall: 0.6877, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9189, scimark_benchmark: 1820.9864, usercpu_time_millis: 132.931, usercpu_time_millis_testing: 0.973, usercpu_time_millis_training: 131.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.6864, kappa: 0.3769, kb_relative_information_score: 364.6204, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6936, predictive_accuracy: 0.6885, prior_entropy: 1, recall: 0.6885, relative_absolute_error: 0.8867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9143, scimark_benchmark: 1593.604, usercpu_time_millis: 132.081, usercpu_time_millis_testing: 0.843, usercpu_time_millis_training: 131.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.6995, kappa: 0.4015, kb_relative_information_score: 285.0158, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7041, predictive_accuracy: 0.7008, prior_entropy: 1, recall: 0.7008, relative_absolute_error: 0.9149, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9273, scimark_benchmark: 1734.7767, usercpu_time_millis: 114.296, usercpu_time_millis_testing: 2.861, usercpu_time_millis_training: 111.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7608, f_measure: 0.6944, kappa: 0.3931, kb_relative_information_score: 358.9031, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7023, predictive_accuracy: 0.6965, prior_entropy: 1, recall: 0.6965, relative_absolute_error: 0.8888, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9144, scimark_benchmark: 1751.4462, usercpu_time_millis: 92.168, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 91.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7383, kappa: 0.48, kb_relative_information_score: 476.4409, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7466, predictive_accuracy: 0.74, prior_entropy: 1, recall: 0.74, relative_absolute_error: 0.8507, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.8807, scimark_benchmark: 1808.7157, usercpu_time_millis: 86.794, usercpu_time_millis_testing: 1.341, usercpu_time_millis_training: 85.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, f_measure: 0.6155, kappa: 0.2315, kb_relative_information_score: 198.4297, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6161, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9674, scimark_benchmark: 1748.5977, usercpu_time_millis: 64.611, usercpu_time_millis_testing: 0.804, usercpu_time_millis_training: 63.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6369, f_measure: 0.6161, kappa: 0.2331, kb_relative_information_score: 187.5661, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6171, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.971, scimark_benchmark: 1816.429, usercpu_time_millis: 49.158, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 48.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6846, f_measure: 0.627, kappa: 0.2546, kb_relative_information_score: 105.8908, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6277, predictive_accuracy: 0.6273, prior_entropy: 1, recall: 0.6273, relative_absolute_error: 0.9699, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9737, scimark_benchmark: 1746.3839, usercpu_time_millis: 21.777, usercpu_time_millis_testing: 1.265, usercpu_time_millis_training: 20.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7101, kappa: 0.4238, kb_relative_information_score: 465.2818, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7174, predictive_accuracy: 0.7119, prior_entropy: 1, recall: 0.7119, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8954, scimark_benchmark: 1673.5279, usercpu_time_millis: 22.691, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 22.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.778, kappa: 0.5562, kb_relative_information_score: 858.3213, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7784, predictive_accuracy: 0.7781, prior_entropy: 1, recall: 0.7781, relative_absolute_error: 0.7069, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8057, scimark_benchmark: 1731.5821, usercpu_time_millis: 8.554, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 8.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8165, kappa: 0.6331, kb_relative_information_score: 901.0876, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.817, predictive_accuracy: 0.8165, prior_entropy: 1, recall: 0.8165, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.777, scimark_benchmark: 1773.9999, usercpu_time_millis: 1103.246, usercpu_time_millis_testing: 1.856, usercpu_time_millis_training: 1101.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.8373, kappa: 0.6746, kb_relative_information_score: 1119.9892, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8376, predictive_accuracy: 0.8373, prior_entropy: 1, recall: 0.8373, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.7211, scimark_benchmark: 1747.0759, usercpu_time_millis: 1079.157, usercpu_time_millis_testing: 1.99, usercpu_time_millis_training: 1077.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8411, kappa: 0.6823, kb_relative_information_score: 1377.2927, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8412, predictive_accuracy: 0.8412, prior_entropy: 1, recall: 0.8412, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.6862, scimark_benchmark: 1838.6903, usercpu_time_millis: 1073.814, usercpu_time_millis_testing: 1.318, usercpu_time_millis_training: 1072.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8396, kappa: 0.6792, kb_relative_information_score: 1016.313, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8397, predictive_accuracy: 0.8396, prior_entropy: 1, recall: 0.8396, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7382, scimark_benchmark: 1755.1554, usercpu_time_millis: 808.217, usercpu_time_millis_testing: 1.673, usercpu_time_millis_training: 806.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7272, kappa: 0.4577, kb_relative_information_score: 574.8095, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7343, predictive_accuracy: 0.7288, prior_entropy: 1, recall: 0.7288, relative_absolute_error: 0.8093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8707, scimark_benchmark: 1768.716, usercpu_time_millis: 462.462, usercpu_time_millis_testing: 1.249, usercpu_time_millis_training: 461.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8198, kappa: 0.64, kb_relative_information_score: 794.8048, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8214, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.7914, scimark_benchmark: 1856.5802, usercpu_time_millis: 346.831, usercpu_time_millis_testing: 2.797, usercpu_time_millis_training: 344.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.6711, kappa: 0.3485, kb_relative_information_score: 330.7096, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6812, predictive_accuracy: 0.6742, prior_entropy: 1, recall: 0.6742, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.462, root_relative_squared_error: 0.924, scimark_benchmark: 1700.3313, usercpu_time_millis: 252.452, usercpu_time_millis_testing: 1.038, usercpu_time_millis_training: 251.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.6949, kappa: 0.39, kb_relative_information_score: 626.5202, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6953, predictive_accuracy: 0.695, prior_entropy: 1, recall: 0.695, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.435, root_relative_squared_error: 0.87, scimark_benchmark: 1878.7154, usercpu_time_millis: 198.682, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 197.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7309, kappa: 0.4623, kb_relative_information_score: 698.3265, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7319, predictive_accuracy: 0.7312, prior_entropy: 1, recall: 0.7312, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.422, root_relative_squared_error: 0.844, scimark_benchmark: 1832.934, usercpu_time_millis: 117.503, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 117.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7388, kappa: 0.4808, kb_relative_information_score: 534.5926, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7465, predictive_accuracy: 0.7404, prior_entropy: 1, recall: 0.7404, relative_absolute_error: 0.8296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.8695, scimark_benchmark: 1851.5586, usercpu_time_millis: 89.44, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 88.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.7057, kappa: 0.4154, kb_relative_information_score: 416.485, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7134, predictive_accuracy: 0.7077, prior_entropy: 1, recall: 0.7077, relative_absolute_error: 0.8681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9031, scimark_benchmark: 1829.3112, usercpu_time_millis: 82.193, usercpu_time_millis_testing: 0.877, usercpu_time_millis_training: 81.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.7152, kappa: 0.4338, kb_relative_information_score: 451.9637, mean_absolute_error: 0.4285, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7222, predictive_accuracy: 0.7169, prior_entropy: 1, recall: 0.7169, relative_absolute_error: 0.857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.8916, scimark_benchmark: 1745.556, usercpu_time_millis: 65.219, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 64.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.7142, kappa: 0.4308, kb_relative_information_score: 342.7311, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7191, predictive_accuracy: 0.7154, prior_entropy: 1, recall: 0.7154, relative_absolute_error: 0.8959, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9136, scimark_benchmark: 1845.7061, usercpu_time_millis: 44.382, usercpu_time_millis_testing: 0.949, usercpu_time_millis_training: 43.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.6508, kappa: 0.3223, kb_relative_information_score: 355.7534, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6828, predictive_accuracy: 0.6612, prior_entropy: 1, recall: 0.6612, relative_absolute_error: 0.8876, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9284, scimark_benchmark: 1764.2085, usercpu_time_millis: 35.876, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 35.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8142, kappa: 0.6285, kb_relative_information_score: 1017.0865, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8144, predictive_accuracy: 0.8142, prior_entropy: 1, recall: 0.8142, relative_absolute_error: 0.651, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.379, root_relative_squared_error: 0.758, scimark_benchmark: 1755.6761, usercpu_time_millis: 22.137, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 21.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.6156, kappa: 0.2315, kb_relative_information_score: 168.6646, mean_absolute_error: 0.475, 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: 0.9501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9677, scimark_benchmark: 1640.2218, usercpu_time_millis: 12.846, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 12.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.6656, kappa: 0.3331, kb_relative_information_score: 266.1893, mean_absolute_error: 0.4598, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6684, predictive_accuracy: 0.6665, prior_entropy: 1, recall: 0.6665, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4678, root_relative_squared_error: 0.9356, scimark_benchmark: 1828.922, usercpu_time_millis: 10.726, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 10.295,
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: 1747.8289, usercpu_time_millis: 2.796, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 2.335,

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