OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7977, kappa: 0.5918, kb_relative_information_score: 1540.2515, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.798, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.77, scimark_benchmark: 1848.372, usercpu_time_millis: 4146.737, usercpu_time_millis_testing: 3.314, usercpu_time_millis_training: 4143.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.7971, kappa: 0.5907, kb_relative_information_score: 1574.9381, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7975, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.767, scimark_benchmark: 1813.1487, usercpu_time_millis: 4255.176, usercpu_time_millis_testing: 3.131, usercpu_time_millis_training: 4252.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8091, kappa: 0.6151, kb_relative_information_score: 1731.1086, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7484, scimark_benchmark: 1852.9988, usercpu_time_millis: 2061.401, usercpu_time_millis_testing: 2.436, usercpu_time_millis_training: 2058.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.7791, kappa: 0.5543, kb_relative_information_score: 1351.5032, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7796, predictive_accuracy: 0.7798, prior_entropy: 0.9948, recall: 0.7798, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8033, scimark_benchmark: 1853.9121, usercpu_time_millis: 1610.18, usercpu_time_millis_testing: 2.857, usercpu_time_millis_training: 1607.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8108, kappa: 0.6186, kb_relative_information_score: 1769.1242, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.5575, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7461, scimark_benchmark: 1817.9508, usercpu_time_millis: 3283.906, usercpu_time_millis_testing: 4.155, usercpu_time_millis_training: 3279.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.7854, kappa: 0.5672, kb_relative_information_score: 1439.999, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7857, predictive_accuracy: 0.7859, prior_entropy: 0.9948, recall: 0.7859, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7895, scimark_benchmark: 1843.7188, usercpu_time_millis: 1076.409, usercpu_time_millis_testing: 1.434, usercpu_time_millis_training: 1074.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.76, kappa: 0.5158, kb_relative_information_score: 1218.7075, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7606, predictive_accuracy: 0.7609, prior_entropy: 0.9948, recall: 0.7609, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8264, scimark_benchmark: 1858.1494, usercpu_time_millis: 878.479, usercpu_time_millis_testing: 1.943, usercpu_time_millis_training: 876.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.7817, kappa: 0.5596, kb_relative_information_score: 1448.0404, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7819, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.6477, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7916, scimark_benchmark: 1855.0232, usercpu_time_millis: 692.539, usercpu_time_millis_testing: 1.055, usercpu_time_millis_training: 691.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7858, kappa: 0.5678, kb_relative_information_score: 1387.2929, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7863, predictive_accuracy: 0.7865, prior_entropy: 0.9948, recall: 0.7865, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.7926, scimark_benchmark: 1836.1908, usercpu_time_millis: 641.838, usercpu_time_millis_testing: 1.482, usercpu_time_millis_training: 640.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7484, kappa: 0.4931, kb_relative_information_score: 1213.5149, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7551, predictive_accuracy: 0.7518, prior_entropy: 0.9948, recall: 0.7518, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8313, scimark_benchmark: 1837.3888, usercpu_time_millis: 244.914, usercpu_time_millis_testing: 0.767, usercpu_time_millis_training: 244.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.805, kappa: 0.6067, kb_relative_information_score: 1570.7123, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7608, scimark_benchmark: 1817.0717, usercpu_time_millis: 1742.629, usercpu_time_millis_testing: 3.355, usercpu_time_millis_training: 1739.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.7742, kappa: 0.5444, kb_relative_information_score: 1215.6739, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7749, predictive_accuracy: 0.775, prior_entropy: 0.9948, recall: 0.775, relative_absolute_error: 0.7136, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8121, scimark_benchmark: 1553.7841, usercpu_time_millis: 172.161, usercpu_time_millis_testing: 1.07, usercpu_time_millis_training: 171.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 766.8282, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.8838, scimark_benchmark: 1847.3406, usercpu_time_millis: 154.431, usercpu_time_millis_testing: 1.186, usercpu_time_millis_training: 153.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.7509, kappa: 0.4979, kb_relative_information_score: 1184.3427, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7567, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.7216, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.834, scimark_benchmark: 1852.9259, usercpu_time_millis: 113.83, usercpu_time_millis_testing: 0.718, usercpu_time_millis_training: 113.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.806, kappa: 0.6088, kb_relative_information_score: 1378.1641, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.6722, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7752, scimark_benchmark: 1853.9121, usercpu_time_millis: 120.54, usercpu_time_millis_testing: 1.831, usercpu_time_millis_training: 118.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.7844, kappa: 0.5651, kb_relative_information_score: 1096.7437, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7846, predictive_accuracy: 0.7849, prior_entropy: 0.9948, recall: 0.7849, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8163, scimark_benchmark: 1824.6151, usercpu_time_millis: 86.658, usercpu_time_millis_testing: 2.468, usercpu_time_millis_training: 84.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.7493, kappa: 0.4941, kb_relative_information_score: 854.5069, mean_absolute_error: 0.4018, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7503, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.8094, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.86, scimark_benchmark: 1839.607, usercpu_time_millis: 51.951, usercpu_time_millis_testing: 1.295, usercpu_time_millis_training: 50.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7351, kappa: 0.4668, kb_relative_information_score: 575.5398, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7354, predictive_accuracy: 0.735, prior_entropy: 0.9948, recall: 0.735, relative_absolute_error: 0.8783, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9029, scimark_benchmark: 1834.6199, usercpu_time_millis: 49.015, usercpu_time_millis_testing: 1.016, usercpu_time_millis_training: 47.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 978.6202, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8816, scimark_benchmark: 1834.6797, usercpu_time_millis: 5.672, usercpu_time_millis_testing: 0.664, usercpu_time_millis_training: 5.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7563, kappa: 0.5084, kb_relative_information_score: 1329.5766, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.759, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8129, scimark_benchmark: 1807.4714, usercpu_time_millis: 1661.371, usercpu_time_millis_testing: 1.288, usercpu_time_millis_training: 1660.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.802, kappa: 0.6006, kb_relative_information_score: 1498.2534, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8023, predictive_accuracy: 0.8025, prior_entropy: 0.9948, recall: 0.8025, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.769, scimark_benchmark: 1856.6531, usercpu_time_millis: 1170.501, usercpu_time_millis_testing: 3.236, usercpu_time_millis_training: 1167.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.7741, kappa: 0.5442, kb_relative_information_score: 1374.9519, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7745, predictive_accuracy: 0.7747, prior_entropy: 0.9948, recall: 0.7747, relative_absolute_error: 0.6672, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8048, scimark_benchmark: 1733.2984, usercpu_time_millis: 364.305, usercpu_time_millis_testing: 1.03, usercpu_time_millis_training: 363.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.7746, kappa: 0.5452, kb_relative_information_score: 1230.609, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7755, predictive_accuracy: 0.7755, prior_entropy: 0.9948, recall: 0.7755, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8115, scimark_benchmark: 1856.6531, usercpu_time_millis: 618.597, usercpu_time_millis_testing: 2.372, usercpu_time_millis_training: 616.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7787, kappa: 0.5536, kb_relative_information_score: 1225.9083, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.779, predictive_accuracy: 0.7793, prior_entropy: 0.9948, recall: 0.7793, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8079, scimark_benchmark: 1841.2811, usercpu_time_millis: 388.81, usercpu_time_millis_testing: 2.675, usercpu_time_millis_training: 386.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.749, kappa: 0.4939, kb_relative_information_score: 1157.2092, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.749, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.7299, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8396, scimark_benchmark: 1732.8314, usercpu_time_millis: 84.76, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 83.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7425, kappa: 0.4803, kb_relative_information_score: 754.8031, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7432, predictive_accuracy: 0.7435, prior_entropy: 0.9948, recall: 0.7435, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8754, scimark_benchmark: 1741.9508, usercpu_time_millis: 82.326, usercpu_time_millis_testing: 1.637, usercpu_time_millis_training: 80.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7524, kappa: 0.5003, kb_relative_information_score: 1048.0183, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7549, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8407, scimark_benchmark: 1845.9141, usercpu_time_millis: 152.762, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 151.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 855.8742, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8105, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.877, scimark_benchmark: 1830.7616, usercpu_time_millis: 150.137, usercpu_time_millis_testing: 1.411, usercpu_time_millis_training: 148.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 854.3918, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8756, scimark_benchmark: 1842.1882, usercpu_time_millis: 68.431, usercpu_time_millis_testing: 0.882, usercpu_time_millis_training: 67.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.7354, kappa: 0.4666, kb_relative_information_score: 499.9045, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7354, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.8951, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9143, scimark_benchmark: 1847.8034, usercpu_time_millis: 71.687, usercpu_time_millis_testing: 1.283, usercpu_time_millis_training: 70.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8008, kappa: 0.5982, kb_relative_information_score: 1591.9145, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8013, predictive_accuracy: 0.8014, prior_entropy: 0.9948, recall: 0.8014, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7627, scimark_benchmark: 1946.6545, usercpu_time_millis: 4977.727, usercpu_time_millis_testing: 2.797, usercpu_time_millis_training: 4974.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.7983, kappa: 0.593, kb_relative_information_score: 1551.9552, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7985, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.6208, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7694, scimark_benchmark: 1811.3744, usercpu_time_millis: 4593.199, usercpu_time_millis_testing: 3.007, usercpu_time_millis_training: 4590.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8049, kappa: 0.6065, kb_relative_information_score: 1627.1469, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8053, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.6002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.757, scimark_benchmark: 1846.8212, usercpu_time_millis: 3529.586, usercpu_time_millis_testing: 2.503, usercpu_time_millis_training: 3527.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.7886, kappa: 0.5736, kb_relative_information_score: 1552.9026, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7889, predictive_accuracy: 0.7891, prior_entropy: 0.9948, recall: 0.7891, relative_absolute_error: 0.6177, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7777, scimark_benchmark: 1852.0126, usercpu_time_millis: 10632.347, usercpu_time_millis_testing: 3.878, usercpu_time_millis_training: 10628.469,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.7462, kappa: 0.4885, kb_relative_information_score: 1204.8433, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7522, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.7159, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.8402, scimark_benchmark: 1844.9435, usercpu_time_millis: 34.13, usercpu_time_millis_testing: 0.646, usercpu_time_millis_training: 33.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8073, kappa: 0.6113, kb_relative_information_score: 1676.1163, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8077, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7562, scimark_benchmark: 1876.935, usercpu_time_millis: 10891.751, usercpu_time_millis_testing: 4.375, usercpu_time_millis_training: 10887.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7991, kappa: 0.5948, kb_relative_information_score: 1558.1657, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7993, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7689, scimark_benchmark: 1732.3665, usercpu_time_millis: 6821.199, usercpu_time_millis_testing: 3.355, usercpu_time_millis_training: 6817.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8065, kappa: 0.6097, kb_relative_information_score: 1678.1982, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8069, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7541, scimark_benchmark: 1848.2024, usercpu_time_millis: 4200.22, usercpu_time_millis_testing: 3.067, usercpu_time_millis_training: 4197.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.7773, kappa: 0.5506, kb_relative_information_score: 1435.0374, mean_absolute_error: 0.3233, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7782, predictive_accuracy: 0.7782, prior_entropy: 0.9948, recall: 0.7782, relative_absolute_error: 0.6513, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7934, scimark_benchmark: 1849.7595, usercpu_time_millis: 2764.463, usercpu_time_millis_testing: 2.005, usercpu_time_millis_training: 2762.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8079, kappa: 0.6126, kb_relative_information_score: 1622.2936, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8082, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.6027, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7524, scimark_benchmark: 1843.6238, usercpu_time_millis: 2588.106, usercpu_time_millis_testing: 4.748, usercpu_time_millis_training: 2583.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8012, kappa: 0.5989, kb_relative_information_score: 1598.9656, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8015, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.6085, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7606, scimark_benchmark: 1727.044, usercpu_time_millis: 2414.594, usercpu_time_millis_testing: 2.575, usercpu_time_millis_training: 2412.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.7851, kappa: 0.5664, kb_relative_information_score: 1455.4563, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7855, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7869, scimark_benchmark: 1845.3208, usercpu_time_millis: 1734.404, usercpu_time_millis_testing: 1.997, usercpu_time_millis_training: 1732.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.7928, kappa: 0.582, kb_relative_information_score: 1478.0826, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7933, predictive_accuracy: 0.7934, prior_entropy: 0.9948, recall: 0.7934, relative_absolute_error: 0.6418, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7789, scimark_benchmark: 1785.3344, usercpu_time_millis: 1654.953, usercpu_time_millis_testing: 2.178, usercpu_time_millis_training: 1652.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7716, kappa: 0.5394, kb_relative_information_score: 1322.2568, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7717, predictive_accuracy: 0.7721, prior_entropy: 0.9948, recall: 0.7721, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1839.5734, usercpu_time_millis: 1221.119, usercpu_time_millis_testing: 2.212, usercpu_time_millis_training: 1218.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7733, kappa: 0.5426, kb_relative_information_score: 1294.0758, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7747, predictive_accuracy: 0.7745, prior_entropy: 0.9948, recall: 0.7745, relative_absolute_error: 0.6908, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8106, scimark_benchmark: 1847.7335, usercpu_time_millis: 838.604, usercpu_time_millis_testing: 1.663, usercpu_time_millis_training: 836.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8076, kappa: 0.6119, kb_relative_information_score: 1652.4305, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8079, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7533, scimark_benchmark: 1832.0962, usercpu_time_millis: 2767.746, usercpu_time_millis_testing: 2.145, usercpu_time_millis_training: 2765.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.7508, kappa: 0.4974, kb_relative_information_score: 1239.3598, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7553, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8326, scimark_benchmark: 1777.9562, usercpu_time_millis: 699.542, usercpu_time_millis_testing: 1.148, usercpu_time_millis_training: 698.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.7849, kappa: 0.566, kb_relative_information_score: 1424.3381, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7852, predictive_accuracy: 0.7854, prior_entropy: 0.9948, recall: 0.7854, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.7912, scimark_benchmark: 1777.6571, usercpu_time_millis: 678.344, usercpu_time_millis_testing: 1.438, usercpu_time_millis_training: 676.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.752, kappa: 0.4995, kb_relative_information_score: 996.2277, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.753, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.423, root_relative_squared_error: 0.849, scimark_benchmark: 1841.6847, usercpu_time_millis: 343.75, usercpu_time_millis_testing: 1.639, usercpu_time_millis_training: 342.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8068, kappa: 0.6104, kb_relative_information_score: 1492.9313, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8071, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7651, scimark_benchmark: 1842.7093, usercpu_time_millis: 254.44, usercpu_time_millis_testing: 1.616, usercpu_time_millis_training: 252.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7737, kappa: 0.5435, kb_relative_information_score: 1278.4215, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7739, predictive_accuracy: 0.7742, prior_entropy: 0.9948, recall: 0.7742, relative_absolute_error: 0.6943, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8124, scimark_benchmark: 1853.454, usercpu_time_millis: 234.424, usercpu_time_millis_testing: 1.185, usercpu_time_millis_training: 233.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8131, kappa: 0.6231, kb_relative_information_score: 1564.5101, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8132, predictive_accuracy: 0.8134, prior_entropy: 0.9948, recall: 0.8134, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7549, scimark_benchmark: 1783.3959, usercpu_time_millis: 135.797, usercpu_time_millis_testing: 1.356, usercpu_time_millis_training: 134.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7502, kappa: 0.4963, kb_relative_information_score: 848.9257, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7503, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8637, scimark_benchmark: 1849.7595, usercpu_time_millis: 91.038, usercpu_time_millis_testing: 1.252, usercpu_time_millis_training: 89.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.7915, kappa: 0.5795, kb_relative_information_score: 1640.2696, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7915, predictive_accuracy: 0.7918, prior_entropy: 0.9948, recall: 0.7918, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.781, scimark_benchmark: 1840.3971, usercpu_time_millis: 72.63, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 71.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: -0.0121, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1805.943, usercpu_time_millis: 8.11, usercpu_time_millis_testing: 1.437, usercpu_time_millis_training: 6.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.046, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1726.9824, usercpu_time_millis: 10.301, usercpu_time_millis_testing: 1.43, usercpu_time_millis_training: 8.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.7742, kappa: 0.5442, kb_relative_information_score: 1347.8313, mean_absolute_error: 0.3346, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7755, predictive_accuracy: 0.7753, prior_entropy: 0.9948, recall: 0.7753, relative_absolute_error: 0.674, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8073, scimark_benchmark: 1812.711, usercpu_time_millis: 1622.636, usercpu_time_millis_testing: 1.831, usercpu_time_millis_training: 1620.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7766, kappa: 0.5493, kb_relative_information_score: 1423.6542, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7772, predictive_accuracy: 0.7774, prior_entropy: 0.9948, recall: 0.7774, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7965, scimark_benchmark: 1846.1643, usercpu_time_millis: 1285.328, usercpu_time_millis_testing: 1.358, usercpu_time_millis_training: 1283.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.7522, kappa: 0.4999, kb_relative_information_score: 1114.588, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7533, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8356, scimark_benchmark: 1854.4951, usercpu_time_millis: 599.131, usercpu_time_millis_testing: 1.943, usercpu_time_millis_training: 597.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.8033, kappa: 0.6033, kb_relative_information_score: 1429.9714, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.7743, scimark_benchmark: 1766.6582, usercpu_time_millis: 479.511, usercpu_time_millis_testing: 3.549, usercpu_time_millis_training: 475.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.7522, kappa: 0.4999, kb_relative_information_score: 1080.4833, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7539, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.7516, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8385, scimark_benchmark: 1777.9944, usercpu_time_millis: 307.111, usercpu_time_millis_testing: 1.551, usercpu_time_millis_training: 305.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.7591, kappa: 0.5141, kb_relative_information_score: 1028.1901, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8405, scimark_benchmark: 1777.152, usercpu_time_millis: 271.554, usercpu_time_millis_testing: 1.592, usercpu_time_millis_training: 269.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7369, kappa: 0.4712, kb_relative_information_score: 869.7624, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7379, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8717, scimark_benchmark: 1846.8309, usercpu_time_millis: 268.647, usercpu_time_millis_testing: 1.723, usercpu_time_millis_training: 266.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.7744, kappa: 0.5447, kb_relative_information_score: 1225.5449, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7752, predictive_accuracy: 0.7753, prior_entropy: 0.9948, recall: 0.7753, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8101, scimark_benchmark: 1785.8019, usercpu_time_millis: 146.528, usercpu_time_millis_testing: 1.174, usercpu_time_millis_training: 145.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7606, kappa: 0.517, kb_relative_information_score: 1196.1973, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7607, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8256, scimark_benchmark: 1849.8294, usercpu_time_millis: 21.801, usercpu_time_millis_testing: 0.658, usercpu_time_millis_training: 21.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0537, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1850.8185, usercpu_time_millis: 10.526, usercpu_time_millis_testing: 1.409, usercpu_time_millis_training: 9.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 949.856, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8791, scimark_benchmark: 1815.5769, usercpu_time_millis: 40.258, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 39.572,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs