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: 0.7968, f_measure: 0.7364, kappa: 0.47, kb_relative_information_score: 863.4407, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7372, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.8085, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8712, scimark_benchmark: 1857.5664, usercpu_time_millis: 69.009, usercpu_time_millis_testing: 0.877, usercpu_time_millis_training: 68.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.746, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 974.6011, mean_absolute_error: 0.3868, 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: 0.7791, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8813, scimark_benchmark: 1856.125, usercpu_time_millis: 91.383, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 90.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.7405, kappa: 0.4765, kb_relative_information_score: 772.106, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7406, predictive_accuracy: 0.7411, prior_entropy: 0.9948, recall: 0.7411, relative_absolute_error: 0.8295, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8714, scimark_benchmark: 1853.9121, usercpu_time_millis: 62.852, usercpu_time_millis_testing: 1.859, usercpu_time_millis_training: 60.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.8012, kappa: 0.5991, kb_relative_information_score: 1308.2145, mean_absolute_error: 0.3428, 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: 0.6905, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7881, scimark_benchmark: 1808.4562, usercpu_time_millis: 91.501, usercpu_time_millis_testing: 1.419, usercpu_time_millis_training: 90.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.7349, kappa: 0.4663, kb_relative_information_score: 582.0635, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7351, predictive_accuracy: 0.7347, prior_entropy: 0.9948, recall: 0.7347, relative_absolute_error: 0.8763, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9032, scimark_benchmark: 1794.6158, usercpu_time_millis: 96.314, usercpu_time_millis_testing: 1.3, usercpu_time_millis_training: 95.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.7358, kappa: 0.4683, kb_relative_information_score: 760.812, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7362, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8804, scimark_benchmark: 1812.2788, usercpu_time_millis: 85.341, usercpu_time_millis_testing: 0.944, usercpu_time_millis_training: 84.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7675, kappa: 0.5309, kb_relative_information_score: 1248.2447, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7681, predictive_accuracy: 0.7683, prior_entropy: 0.9948, recall: 0.7683, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.407, root_relative_squared_error: 0.817, scimark_benchmark: 1849.7595, usercpu_time_millis: 122.368, usercpu_time_millis_testing: 0.904, usercpu_time_millis_training: 121.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7704, kappa: 0.5366, kb_relative_information_score: 1328.4752, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7712, predictive_accuracy: 0.7713, prior_entropy: 0.9948, recall: 0.7713, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8096, scimark_benchmark: 1855.0232, usercpu_time_millis: 94.872, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 94.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7635, kappa: 0.523, kb_relative_information_score: 949.2608, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7634, predictive_accuracy: 0.7638, prior_entropy: 0.9948, recall: 0.7638, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8416, scimark_benchmark: 1845.181, usercpu_time_millis: 140.273, usercpu_time_millis_testing: 3.838, usercpu_time_millis_training: 136.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.7531, kappa: 0.5018, kb_relative_information_score: 1168.485, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7536, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8384, scimark_benchmark: 1851.3986, usercpu_time_millis: 115.347, usercpu_time_millis_testing: 0.895, usercpu_time_millis_training: 114.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.7537, kappa: 0.5031, kb_relative_information_score: 923.3177, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.755, predictive_accuracy: 0.755, prior_entropy: 0.9948, recall: 0.755, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8531, scimark_benchmark: 1746.0101, usercpu_time_millis: 211.803, usercpu_time_millis_testing: 2.161, usercpu_time_millis_training: 209.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.1535, 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: 5.111, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 4.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3813, kb_relative_information_score: -0.2282, 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: 1845.7061, usercpu_time_millis: 5.124, usercpu_time_millis_testing: 0.798, usercpu_time_millis_training: 4.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0117, 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: 1839.6613, usercpu_time_millis: 8.041, usercpu_time_millis_testing: 1.259, usercpu_time_millis_training: 6.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.0068, 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: 1846.7651, usercpu_time_millis: 7.144, usercpu_time_millis_testing: 1.077, usercpu_time_millis_training: 6.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.4254, 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: 1810.0953, usercpu_time_millis: 4.632, usercpu_time_millis_testing: 0.718, usercpu_time_millis_training: 3.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0128, 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: 1841.6417, usercpu_time_millis: 7.401, usercpu_time_millis_testing: 1.177, usercpu_time_millis_training: 6.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: 0.0802, 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: 1833.1288, usercpu_time_millis: 5.307, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 4.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0265, 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: 1807.5428, usercpu_time_millis: 11.078, usercpu_time_millis_testing: 1.545, usercpu_time_millis_training: 9.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.1352, 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: 1843.1261, usercpu_time_millis: 6.771, usercpu_time_millis_testing: 1.062, usercpu_time_millis_training: 5.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1103, 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: 1855.4813, usercpu_time_millis: 9.085, usercpu_time_millis_testing: 1.575, usercpu_time_millis_training: 7.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.1016, 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: 1838.6023, usercpu_time_millis: 8.999, usercpu_time_millis_testing: 1.384, usercpu_time_millis_training: 7.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7358, kappa: 0.4685, kb_relative_information_score: 836.5844, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7363, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.8152, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8717, scimark_benchmark: 1837.1204, usercpu_time_millis: 11.576, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 10.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0707, 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: 1815.7969, usercpu_time_millis: 9.231, usercpu_time_millis_testing: 1.517, usercpu_time_millis_training: 7.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.1135, 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: 1817.0461, usercpu_time_millis: 7.322, usercpu_time_millis_testing: 1.165, usercpu_time_millis_training: 6.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1978, 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: 1851.3287, usercpu_time_millis: 9.17, usercpu_time_millis_testing: 1.577, usercpu_time_millis_training: 7.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7523, kappa: 0.5002, kb_relative_information_score: 791.1743, mean_absolute_error: 0.4102, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7524, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8702, scimark_benchmark: 1855.5541, usercpu_time_millis: 45.67, usercpu_time_millis_testing: 1.172, usercpu_time_millis_training: 44.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7283, kappa: 0.453, kb_relative_information_score: 392.4031, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7362, predictive_accuracy: 0.7326, prior_entropy: 0.9948, recall: 0.7326, relative_absolute_error: 0.9194, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9304, scimark_benchmark: 1836.0792, usercpu_time_millis: 34.576, usercpu_time_millis_testing: 1.341, usercpu_time_millis_training: 33.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.7077, kappa: 0.4112, kb_relative_information_score: 475.2323, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7137, predictive_accuracy: 0.7118, prior_entropy: 0.9948, recall: 0.7118, relative_absolute_error: 0.9006, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.915, scimark_benchmark: 1848.8462, usercpu_time_millis: 25.379, usercpu_time_millis_testing: 3.741, usercpu_time_millis_training: 21.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.7852, kappa: 0.5669, kb_relative_information_score: 1187.191, mean_absolute_error: 0.3584, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7854, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.7219, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8085, scimark_benchmark: 1802.0128, usercpu_time_millis: 29.73, usercpu_time_millis_testing: 1.058, usercpu_time_millis_training: 28.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0357, 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: 1854.1098, usercpu_time_millis: 9.225, usercpu_time_millis_testing: 1.32, usercpu_time_millis_training: 7.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.1359, 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: 1808.0652, usercpu_time_millis: 7.321, usercpu_time_millis_testing: 1.114, usercpu_time_millis_training: 6.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7559, kappa: 0.5074, kb_relative_information_score: 949.2844, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7567, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8464, scimark_benchmark: 1852.4707, usercpu_time_millis: 57.332, usercpu_time_millis_testing: 0.959, usercpu_time_millis_training: 56.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7738, kappa: 0.5437, kb_relative_information_score: 1264.9562, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7742, predictive_accuracy: 0.7745, prior_entropy: 0.9948, recall: 0.7745, relative_absolute_error: 0.6984, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8151, scimark_benchmark: 1828.686, usercpu_time_millis: 51.436, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 50.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.737, kappa: 0.4696, kb_relative_information_score: 756.1636, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7369, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.8329, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8732, scimark_benchmark: 1858.1494, usercpu_time_millis: 59.354, usercpu_time_millis_testing: 2.286, usercpu_time_millis_training: 57.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7441, kappa: 0.4837, kb_relative_information_score: 637.1407, mean_absolute_error: 0.4285, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7444, predictive_accuracy: 0.7449, prior_entropy: 0.9948, recall: 0.7449, relative_absolute_error: 0.8631, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.445, root_relative_squared_error: 0.8932, scimark_benchmark: 1751.4448, usercpu_time_millis: 77.003, usercpu_time_millis_testing: 1.444, usercpu_time_millis_training: 75.559,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0807, 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: 1855.4813, usercpu_time_millis: 7.94, usercpu_time_millis_testing: 1.195, usercpu_time_millis_training: 6.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.1292, 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: 7.595, usercpu_time_millis_testing: 1.182, usercpu_time_millis_training: 6.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.1798, 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: 1856.5802, usercpu_time_millis: 5.942, usercpu_time_millis_testing: 0.922, usercpu_time_millis_training: 5.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.1831, 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: 1849.9572, usercpu_time_millis: 4.747, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 4.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.6618, kappa: 0.3235, kb_relative_information_score: 313.8232, mean_absolute_error: 0.4647, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6774, predictive_accuracy: 0.6718, prior_entropy: 0.9948, recall: 0.6718, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9443, scimark_benchmark: 1832.1735, usercpu_time_millis: 13.306, usercpu_time_millis_testing: 1.499, usercpu_time_millis_training: 11.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 961.1488, mean_absolute_error: 0.3886, 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: 0.7828, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8711, scimark_benchmark: 1853.3841, usercpu_time_millis: 13.952, usercpu_time_millis_testing: 0.695, usercpu_time_millis_training: 13.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.1456, 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: 1857.1082, usercpu_time_millis: 10.208, usercpu_time_millis_testing: 1.52, usercpu_time_millis_training: 8.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0091, 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: 1812.8618, usercpu_time_millis: 11.041, usercpu_time_millis_testing: 1.526, usercpu_time_millis_training: 9.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8059, kappa: 0.6087, kb_relative_information_score: 1395.3011, mean_absolute_error: 0.3313, 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: 0.6673, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7731, scimark_benchmark: 1852.3877, usercpu_time_millis: 36.27, usercpu_time_millis_testing: 1.386, usercpu_time_millis_training: 34.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.7853, kappa: 0.5669, kb_relative_information_score: 1381.4496, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7854, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7965, scimark_benchmark: 1741.7855, usercpu_time_millis: 39.662, usercpu_time_millis_testing: 0.831, usercpu_time_millis_training: 38.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7319, kappa: 0.459, kb_relative_information_score: 581.4773, mean_absolute_error: 0.4349, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.732, predictive_accuracy: 0.7326, prior_entropy: 0.9948, recall: 0.7326, relative_absolute_error: 0.8761, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9009, scimark_benchmark: 1838.1793, usercpu_time_millis: 60.58, usercpu_time_millis_testing: 1.908, usercpu_time_millis_training: 58.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.724, kappa: 0.443, kb_relative_information_score: 525.2831, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7246, predictive_accuracy: 0.7251, prior_entropy: 0.9948, recall: 0.7251, relative_absolute_error: 0.889, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9096, scimark_benchmark: 1844.6953, usercpu_time_millis: 30.213, usercpu_time_millis_testing: 1.285, usercpu_time_millis_training: 28.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7355, kappa: 0.468, kb_relative_information_score: 673.4278, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7361, predictive_accuracy: 0.7353, prior_entropy: 0.9948, recall: 0.7353, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.8918, scimark_benchmark: 1845.3208, usercpu_time_millis: 61.808, usercpu_time_millis_testing: 0.935, usercpu_time_millis_training: 60.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 788.9275, mean_absolute_error: 0.4106, 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: 0.827, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.8826, scimark_benchmark: 1827.7028, usercpu_time_millis: 76.605, usercpu_time_millis_testing: 0.851, usercpu_time_millis_training: 75.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7369, kappa: 0.4711, kb_relative_information_score: 690.166, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7378, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8892, scimark_benchmark: 1841.1577, usercpu_time_millis: 87.737, usercpu_time_millis_testing: 1.216, usercpu_time_millis_training: 86.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 999.0456, mean_absolute_error: 0.3834, 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: 0.7723, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8615, scimark_benchmark: 1821.8602, usercpu_time_millis: 63.661, usercpu_time_millis_testing: 0.863, usercpu_time_millis_training: 62.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7488, kappa: 0.4931, kb_relative_information_score: 513.9819, mean_absolute_error: 0.4429, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7502, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9113, scimark_benchmark: 1853.5818, usercpu_time_millis: 54.705, usercpu_time_millis_testing: 1.288, usercpu_time_millis_training: 53.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7697, kappa: 0.5354, kb_relative_information_score: 1303.6326, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7699, predictive_accuracy: 0.7702, prior_entropy: 0.9948, recall: 0.7702, relative_absolute_error: 0.6866, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.405, root_relative_squared_error: 0.813, scimark_benchmark: 1850.0581, usercpu_time_millis: 56.727, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 55.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7781, kappa: 0.5523, kb_relative_information_score: 1281.373, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7785, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8097, scimark_benchmark: 1850.5112, usercpu_time_millis: 57.57, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 56.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0177, 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: 1839.5885, usercpu_time_millis: 7.191, usercpu_time_millis_testing: 1.401, usercpu_time_millis_training: 5.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.003, 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: 1812.2788, usercpu_time_millis: 7.866, usercpu_time_millis_testing: 1.232, usercpu_time_millis_training: 6.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.754, kappa: 0.5036, kb_relative_information_score: 915.7247, mean_absolute_error: 0.3943, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7558, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.7943, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8518, scimark_benchmark: 1850.2875, usercpu_time_millis: 83.42, usercpu_time_millis_testing: 1.579, usercpu_time_millis_training: 81.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8016, kappa: 0.6, kb_relative_information_score: 1482.7828, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7727, scimark_benchmark: 1830.7862, usercpu_time_millis: 112.709, usercpu_time_millis_testing: 1.157, usercpu_time_millis_training: 111.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.7304, kappa: 0.4561, kb_relative_information_score: 712.7806, mean_absolute_error: 0.4189, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7307, predictive_accuracy: 0.7313, prior_entropy: 0.9948, recall: 0.7313, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.8779, scimark_benchmark: 1814.613, usercpu_time_millis: 15.739, usercpu_time_millis_testing: 1.192, usercpu_time_millis_training: 14.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.6913, kappa: 0.3778, kb_relative_information_score: 468.1925, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6955, predictive_accuracy: 0.695, prior_entropy: 0.9948, recall: 0.695, relative_absolute_error: 0.9017, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9183, scimark_benchmark: 1818.4874, usercpu_time_millis: 30.531, usercpu_time_millis_testing: 2.41, usercpu_time_millis_training: 28.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7564, kappa: 0.5086, kb_relative_information_score: 1233.2292, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7596, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8248, scimark_benchmark: 1853.7124, usercpu_time_millis: 93.665, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 92.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7499, kappa: 0.4956, kb_relative_information_score: 885.3466, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.75, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8548, scimark_benchmark: 1839.1303, usercpu_time_millis: 38.46, usercpu_time_millis_testing: 1.394, usercpu_time_millis_training: 37.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 774.3276, mean_absolute_error: 0.4126, 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: 0.8311, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8815, scimark_benchmark: 1846.6923, usercpu_time_millis: 113.142, usercpu_time_millis_testing: 1.292, usercpu_time_millis_training: 111.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.7946, kappa: 0.5858, kb_relative_information_score: 1180.6414, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7947, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8066, scimark_benchmark: 1849.4321, usercpu_time_millis: 118.716, usercpu_time_millis_testing: 2.143, usercpu_time_millis_training: 116.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7374, kappa: 0.4717, kb_relative_information_score: 753.5448, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7379, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8798, scimark_benchmark: 1837.6889, usercpu_time_millis: 95.579, usercpu_time_millis_testing: 1.064, usercpu_time_millis_training: 94.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7611, kappa: 0.5179, kb_relative_information_score: 1254.6725, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7628, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8215, scimark_benchmark: 1846.1643, usercpu_time_millis: 127.399, usercpu_time_millis_testing: 0.828, usercpu_time_millis_training: 126.571,

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