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: 0.816, 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: 0.7951, 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: 0.8186, 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: 0.7955, 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: 0.793, 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: 0.8478, 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: 0.8266, 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: 0.8528, 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: 0.8508, 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: 0.8715, f_measure: 0.8007, kappa: 0.5979, kb_relative_information_score: 1587.1792, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.801, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7626, scimark_benchmark: 1835.7111, usercpu_time_millis: 6142.709, usercpu_time_millis_testing: 4.309, usercpu_time_millis_training: 6138.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.8062, kappa: 0.6091, kb_relative_information_score: 1590.0009, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8066, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7584, scimark_benchmark: 1823.4197, usercpu_time_millis: 1936.094, usercpu_time_millis_testing: 3.078, usercpu_time_millis_training: 1933.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.7785, kappa: 0.553, kb_relative_information_score: 1452.5994, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7792, predictive_accuracy: 0.7793, prior_entropy: 0.9948, recall: 0.7793, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7928, scimark_benchmark: 1835.7111, usercpu_time_millis: 2296.749, usercpu_time_millis_testing: 1.572, usercpu_time_millis_training: 2295.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8071, kappa: 0.6108, kb_relative_information_score: 1678.1965, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8074, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7543, scimark_benchmark: 1808.5977, usercpu_time_millis: 6664.81, usercpu_time_millis_testing: 3.907, usercpu_time_millis_training: 6660.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 935.7059, mean_absolute_error: 0.392, 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: 0.7896, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8797, scimark_benchmark: 1850.5162, usercpu_time_millis: 295.486, usercpu_time_millis_testing: 1.492, usercpu_time_millis_training: 293.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.432, mean_absolute_error: 0.4965, 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: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1823.8368, usercpu_time_millis: 4.392, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 3.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.4356, mean_absolute_error: 0.4965, 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: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1821.2674, usercpu_time_millis: 5.809, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 4.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.0503, 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: 1821.2144, usercpu_time_millis: 6.715, usercpu_time_millis_testing: 1.004, usercpu_time_millis_training: 5.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0838, 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: 1857.5664, usercpu_time_millis: 6.017, usercpu_time_millis_testing: 0.885, usercpu_time_millis_training: 5.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: 0.0134, 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: 1851.8567, usercpu_time_millis: 5.997, usercpu_time_millis_testing: 1.004, usercpu_time_millis_training: 4.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0684, 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: 1853.454, usercpu_time_millis: 6.638, usercpu_time_millis_testing: 0.959, usercpu_time_millis_training: 5.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7623, kappa: 0.5206, kb_relative_information_score: 1342.4446, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7627, prior_entropy: 0.9948, recall: 0.7627, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8216, scimark_benchmark: 1824.2866, usercpu_time_millis: 9.001, usercpu_time_millis_testing: 0.672, usercpu_time_millis_training: 8.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.104, 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: 1850.2875, usercpu_time_millis: 6.086, usercpu_time_millis_testing: 0.978, usercpu_time_millis_training: 5.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.7563, kappa: 0.5083, kb_relative_information_score: 827.0748, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7584, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8658, scimark_benchmark: 1820.3831, usercpu_time_millis: 31.745, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 30.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8081, kappa: 0.613, kb_relative_information_score: 1502.8984, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8085, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.6366, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7655, scimark_benchmark: 1832.3122, usercpu_time_millis: 47.12, usercpu_time_millis_testing: 1.135, usercpu_time_millis_training: 45.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.7796, kappa: 0.5554, kb_relative_information_score: 1081.0575, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7798, predictive_accuracy: 0.7801, prior_entropy: 0.9948, recall: 0.7801, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8222, scimark_benchmark: 1857.5664, usercpu_time_millis: 43.808, usercpu_time_millis_testing: 1.585, usercpu_time_millis_training: 42.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.784, kappa: 0.5644, kb_relative_information_score: 1094.1889, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.784, predictive_accuracy: 0.7843, prior_entropy: 0.9948, recall: 0.7843, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8183, scimark_benchmark: 1855.0232, usercpu_time_millis: 16.9, usercpu_time_millis_testing: 1.239, usercpu_time_millis_training: 15.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.7673, kappa: 0.5309, kb_relative_information_score: 883.8545, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8463, scimark_benchmark: 1849.8294, usercpu_time_millis: 22.029, usercpu_time_millis_testing: 2.546, usercpu_time_millis_training: 19.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 779.5202, mean_absolute_error: 0.4118, 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: 0.8295, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8834, scimark_benchmark: 1853.454, usercpu_time_millis: 27.391, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 26.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7182, kappa: 0.4315, kb_relative_information_score: 574.908, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7184, predictive_accuracy: 0.719, prior_entropy: 0.9948, recall: 0.719, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4495, root_relative_squared_error: 0.9023, scimark_benchmark: 1859.1356, usercpu_time_millis: 67.313, usercpu_time_millis_testing: 2.079, usercpu_time_millis_training: 65.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7608, kappa: 0.5175, kb_relative_information_score: 996.7106, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.761, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.7718, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8391, scimark_benchmark: 1851.9456, usercpu_time_millis: 74.722, usercpu_time_millis_testing: 1.588, usercpu_time_millis_training: 73.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 978.6412, 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: 0.439, root_relative_squared_error: 0.8812, scimark_benchmark: 1851.8567, usercpu_time_millis: 91.981, usercpu_time_millis_testing: 0.809, usercpu_time_millis_training: 91.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.7813, kappa: 0.5588, kb_relative_information_score: 1203.5159, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7817, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8091, scimark_benchmark: 1854.6378, usercpu_time_millis: 70.912, usercpu_time_millis_testing: 1.14, usercpu_time_millis_training: 69.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.7352, kappa: 0.4671, kb_relative_information_score: 599.4685, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7355, predictive_accuracy: 0.735, prior_entropy: 0.9948, recall: 0.735, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9004, scimark_benchmark: 1833.4006, usercpu_time_millis: 102.197, usercpu_time_millis_testing: 1.201, usercpu_time_millis_training: 100.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3813, kb_relative_information_score: -0.7626, mean_absolute_error: 0.4965, 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: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1845.7222, usercpu_time_millis: 4.444, usercpu_time_millis_testing: 0.692, usercpu_time_millis_training: 3.752,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7967, kappa: 0.5898, kb_relative_information_score: 1521.5376, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7969, predictive_accuracy: 0.7971, prior_entropy: 0.9948, recall: 0.7971, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7716, scimark_benchmark: 1840.1791, usercpu_time_millis: 27.243, usercpu_time_millis_testing: 0.853, usercpu_time_millis_training: 26.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 931.5562, mean_absolute_error: 0.3926, 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: 0.7908, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8745, scimark_benchmark: 1848.8462, usercpu_time_millis: 39.562, usercpu_time_millis_testing: 0.664, usercpu_time_millis_training: 38.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.7966, kappa: 0.5897, kb_relative_information_score: 1581.0345, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.797, predictive_accuracy: 0.7971, prior_entropy: 0.9948, recall: 0.7971, relative_absolute_error: 0.6124, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7655, scimark_benchmark: 1814.0464, usercpu_time_millis: 6267.178, usercpu_time_millis_testing: 3.382, usercpu_time_millis_training: 6263.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.7975, kappa: 0.5916, kb_relative_information_score: 1346.4063, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7977, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.6795, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.786, scimark_benchmark: 1827.2523, usercpu_time_millis: 434.294, usercpu_time_millis_testing: 2.514, usercpu_time_millis_training: 431.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.7965, kappa: 0.5895, kb_relative_information_score: 1638.255, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.797, predictive_accuracy: 0.7971, prior_entropy: 0.9948, recall: 0.7971, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7628, scimark_benchmark: 1812.5296, usercpu_time_millis: 682.347, usercpu_time_millis_testing: 1.104, usercpu_time_millis_training: 681.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.7808, kappa: 0.5579, kb_relative_information_score: 1373.8185, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7811, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.7973, scimark_benchmark: 1951.3046, usercpu_time_millis: 770.878, usercpu_time_millis_testing: 2.018, usercpu_time_millis_training: 768.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7925, kappa: 0.5814, kb_relative_information_score: 1505.4855, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.793, predictive_accuracy: 0.7931, prior_entropy: 0.9948, recall: 0.7931, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.7777, scimark_benchmark: 1840.7617, usercpu_time_millis: 2187.551, usercpu_time_millis_testing: 2.358, usercpu_time_millis_training: 2185.193,
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: 0.4989, f_measure: 0.3813, kb_relative_information_score: -1.8513, mean_absolute_error: 0.4966, 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: 1.0003, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1849.3014, usercpu_time_millis: 4.272, usercpu_time_millis_testing: 0.653, usercpu_time_millis_training: 3.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.055, 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: 1820.4238, usercpu_time_millis: 7.371, usercpu_time_millis_testing: 1.311, usercpu_time_millis_training: 6.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7454, kappa: 0.4863, kb_relative_information_score: 634.0155, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7458, predictive_accuracy: 0.7462, prior_entropy: 0.9948, recall: 0.7462, relative_absolute_error: 0.864, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.8936, scimark_benchmark: 1850.4457, usercpu_time_millis: 87.375, usercpu_time_millis_testing: 1.415, usercpu_time_millis_training: 85.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.743, kappa: 0.4815, kb_relative_information_score: 597.7475, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7433, predictive_accuracy: 0.7438, prior_entropy: 0.9948, recall: 0.7438, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.8985, scimark_benchmark: 1831.4174, usercpu_time_millis: 33.514, usercpu_time_millis_testing: 1.035, usercpu_time_millis_training: 32.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7641, kappa: 0.524, kb_relative_information_score: 1243.6598, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7646, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.7042, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8225, scimark_benchmark: 1841.3483, usercpu_time_millis: 728.377, usercpu_time_millis_testing: 1.62, usercpu_time_millis_training: 726.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.7867, kappa: 0.5698, kb_relative_information_score: 1538.6354, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.787, predictive_accuracy: 0.7873, prior_entropy: 0.9948, recall: 0.7873, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.7806, scimark_benchmark: 1847.3406, usercpu_time_millis: 767.388, usercpu_time_millis_testing: 1.002, usercpu_time_millis_training: 766.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7554, kappa: 0.5064, kb_relative_information_score: 1302.8402, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8208, scimark_benchmark: 1817.9562, usercpu_time_millis: 115.246, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 114.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7677, kappa: 0.5312, kb_relative_information_score: 1199.7762, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7685, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.409, root_relative_squared_error: 0.821, scimark_benchmark: 2108.1034, usercpu_time_millis: 80.337, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 79.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1162.1707, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.763, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.7287, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8266, scimark_benchmark: 1810.7731, usercpu_time_millis: 190.932, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 190.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7635, kappa: 0.5228, kb_relative_information_score: 1101.6529, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7652, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8285, scimark_benchmark: 1828.6642, usercpu_time_millis: 382.633, usercpu_time_millis_testing: 1.808, usercpu_time_millis_training: 380.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.7637, kappa: 0.5232, kb_relative_information_score: 1278.5441, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.764, predictive_accuracy: 0.7643, prior_entropy: 0.9948, recall: 0.7643, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8212, scimark_benchmark: 1847.8629, usercpu_time_millis: 1299.769, usercpu_time_millis_testing: 1.903, usercpu_time_millis_training: 1297.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.7783, kappa: 0.5526, kb_relative_information_score: 1369.2478, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7794, predictive_accuracy: 0.7793, prior_entropy: 0.9948, recall: 0.7793, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.798, scimark_benchmark: 2125.8445, usercpu_time_millis: 1374.295, usercpu_time_millis_testing: 1.746, usercpu_time_millis_training: 1372.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.8036, kappa: 0.6038, kb_relative_information_score: 1598.1603, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8039, predictive_accuracy: 0.8041, prior_entropy: 0.9948, recall: 0.8041, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7584, scimark_benchmark: 1811.0832, usercpu_time_millis: 3484.556, usercpu_time_millis_testing: 3.458, usercpu_time_millis_training: 3481.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3813, kb_relative_information_score: -0.8036, mean_absolute_error: 0.4965, 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: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1845.9141, usercpu_time_millis: 3.946, usercpu_time_millis_testing: 0.629, usercpu_time_millis_training: 3.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.8017, kappa: 0.6001, kb_relative_information_score: 1557.656, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.802, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.6206, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7626, scimark_benchmark: 1809.641, usercpu_time_millis: 1464.258, usercpu_time_millis_testing: 3.151, usercpu_time_millis_training: 1461.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7371, kappa: 0.471, kb_relative_information_score: 831.7876, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7375, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8708, scimark_benchmark: 1804.325, usercpu_time_millis: 130.81, usercpu_time_millis_testing: 1.12, usercpu_time_millis_training: 129.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.0095, 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: 1832.1735, usercpu_time_millis: 8.161, usercpu_time_millis_testing: 1.326, usercpu_time_millis_training: 6.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7671, kappa: 0.53, kb_relative_information_score: 1102.9287, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.768, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8251, scimark_benchmark: 1805.8734, usercpu_time_millis: 407.563, usercpu_time_millis_testing: 2.023, usercpu_time_millis_training: 405.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7369, kappa: 0.4711, kb_relative_information_score: 845.0922, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7377, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8721, scimark_benchmark: 1942.9987, usercpu_time_millis: 50.074, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 49.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7605, kappa: 0.5168, kb_relative_information_score: 1239.3764, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7637, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8234, scimark_benchmark: 1851.4874, usercpu_time_millis: 281.011, usercpu_time_millis_testing: 0.792, usercpu_time_millis_training: 280.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8107, kappa: 0.6183, kb_relative_information_score: 1560.3833, mean_absolute_error: 0.3082, 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: 0.6208, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7535, scimark_benchmark: 1830.7616, usercpu_time_millis: 300.496, usercpu_time_millis_testing: 3.326, usercpu_time_millis_training: 297.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8094, kappa: 0.6156, kb_relative_information_score: 1723.0682, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8094, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7484, scimark_benchmark: 1744.9297, usercpu_time_millis: 4358.844, usercpu_time_millis_testing: 4.015, usercpu_time_millis_training: 4354.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.7461, kappa: 0.4878, kb_relative_information_score: 872.4692, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7463, predictive_accuracy: 0.7467, prior_entropy: 0.9948, recall: 0.7467, relative_absolute_error: 0.8038, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8574, scimark_benchmark: 1827.2523, usercpu_time_millis: 9.701, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 8.993,

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