Task
Supervised Classification on backache

Supervised Classification on backache

Task 3554 Supervised Classification backache 174 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.8189, kappa: 0.1349, kb_relative_information_score: -10.2484, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8111, predictive_accuracy: 0.8556, prior_entropy: 0.5917, recall: 0.8556, relative_absolute_error: 0.8785, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3461, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, kb_relative_information_score: -30.9173, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.2421, number_of_instances: 180, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.351, root_relative_squared_error: 1.0148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, kb_relative_information_score: -16.7664, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.2421, number_of_instances: 180, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.9485, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.339, root_relative_squared_error: 0.9801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5813, f_measure: 0.8157, kappa: 0.1842, kb_relative_information_score: 18.1393, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8064, predictive_accuracy: 0.8278, prior_entropy: 0.5917, recall: 0.8278, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.415, root_relative_squared_error: 1.1999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, f_measure: 0.8099, kappa: 0.067, kb_relative_information_score: -51.0418, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8845, predictive_accuracy: 0.8667, prior_entropy: 0.5917, recall: 0.8667, relative_absolute_error: 0.9632, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3482, root_relative_squared_error: 1.0068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5963, f_measure: 0.8084, kappa: 0.0795, kb_relative_information_score: -3.1528, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7936, predictive_accuracy: 0.85, prior_entropy: 0.5917, recall: 0.85, relative_absolute_error: 0.8941, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3579, root_relative_squared_error: 1.0347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5739, f_measure: 0.7739, kappa: 0.0387, kb_relative_information_score: -51.207, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7701, predictive_accuracy: 0.7778, prior_entropy: 0.5917, recall: 0.7778, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3889, root_relative_squared_error: 1.1245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, f_measure: 0.8084, kappa: 0.0795, kb_relative_information_score: -32.6591, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7936, predictive_accuracy: 0.85, prior_entropy: 0.5917, recall: 0.85, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3545, root_relative_squared_error: 1.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, f_measure: 0.7848, kappa: -0.0159, kb_relative_information_score: -36.9167, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7557, predictive_accuracy: 0.8222, prior_entropy: 0.5917, recall: 0.8222, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3539, root_relative_squared_error: 1.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5199, f_measure: 0.805, kappa: 0.0684, kb_relative_information_score: 0.0486, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7863, predictive_accuracy: 0.8444, prior_entropy: 0.5917, recall: 0.8444, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3566, root_relative_squared_error: 1.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4419, f_measure: 0.7968, kb_relative_information_score: -3.6672, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3461, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.8235, kappa: 0.2929, kb_relative_information_score: -13.9846, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8317, predictive_accuracy: 0.8167, prior_entropy: 0.5917, recall: 0.8167, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3954, root_relative_squared_error: 1.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.577, f_measure: 0.8157, kappa: 0.1842, kb_relative_information_score: 18.4845, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8064, predictive_accuracy: 0.8278, prior_entropy: 0.5917, recall: 0.8278, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4063, root_relative_squared_error: 1.1748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, f_measure: 0.7591, kappa: -0.0157, kb_relative_information_score: -44.4413, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.757, predictive_accuracy: 0.7611, prior_entropy: 0.5917, recall: 0.7611, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4471, root_relative_squared_error: 1.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6055, f_measure: 0.8328, kappa: 0.2015, kb_relative_information_score: -5.2604, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8359, predictive_accuracy: 0.8667, prior_entropy: 0.5917, recall: 0.8667, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.343, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.8387, kappa: 0.3029, kb_relative_information_score: -6.5625, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.834, predictive_accuracy: 0.8444, prior_entropy: 0.5917, recall: 0.8444, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3507, root_relative_squared_error: 1.0141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.8153, kappa: 0.1227, kb_relative_information_score: 10.0106, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8031, predictive_accuracy: 0.85, prior_entropy: 0.5917, recall: 0.85, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4419, f_measure: 0.7968, kb_relative_information_score: -3.6672, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3461, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.83, kappa: 0.1753, kb_relative_information_score: 6.751, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8576, predictive_accuracy: 0.8722, prior_entropy: 0.5917, recall: 0.8722, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.8386, kappa: 0.2381, kb_relative_information_score: -5.212, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8376, predictive_accuracy: 0.8667, prior_entropy: 0.5917, recall: 0.8667, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3531, root_relative_squared_error: 1.0209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6579, f_measure: 0.7942, kappa: 0.0114, kb_relative_information_score: -10.4246, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7655, predictive_accuracy: 0.8389, prior_entropy: 0.5917, recall: 0.8389, relative_absolute_error: 0.8783, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.7968, kb_relative_information_score: -8.2827, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.9697, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4419, f_measure: 0.7968, kb_relative_information_score: -3.6672, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3461, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.8068, kappa: 0.0546, kb_relative_information_score: -0.8932, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8145, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.7994, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4419, f_measure: 0.7968, kb_relative_information_score: 1.3645, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3461, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, f_measure: 0.8263, kappa: 0.1612, kb_relative_information_score: -9.2071, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8362, predictive_accuracy: 0.8667, prior_entropy: 0.5917, recall: 0.8667, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.9869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.611, f_measure: 0.7919, kappa: 0.0789, kb_relative_information_score: -20.1585, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7804, predictive_accuracy: 0.8056, prior_entropy: 0.5917, recall: 0.8056, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3977, root_relative_squared_error: 1.1498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.7993, kappa: 0.1818, kb_relative_information_score: -43.6884, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8045, predictive_accuracy: 0.7944, prior_entropy: 0.5917, recall: 0.7944, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4127, root_relative_squared_error: 1.1934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6378, f_measure: 0.8078, kappa: 0.1829, kb_relative_information_score: -10.3697, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8047, predictive_accuracy: 0.8111, prior_entropy: 0.5917, recall: 0.8111, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4283, root_relative_squared_error: 1.2385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.8563, kappa: 0.3177, kb_relative_information_score: 69.3458, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8702, predictive_accuracy: 0.8833, prior_entropy: 0.5917, recall: 0.8833, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.9876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, f_measure: 0.8235, kappa: 0.2929, kb_relative_information_score: -35.6786, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8317, predictive_accuracy: 0.8167, prior_entropy: 0.5917, recall: 0.8167, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3797, root_relative_squared_error: 1.0977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6671, f_measure: 0.7968, kb_relative_information_score: -33.771, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.34, root_relative_squared_error: 0.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.611, f_measure: 0.7919, kappa: 0.0789, kb_relative_information_score: -20.1585, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7804, predictive_accuracy: 0.8056, prior_entropy: 0.5917, recall: 0.8056, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3977, root_relative_squared_error: 1.1498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, f_measure: 0.7846, kappa: 0.1294, kb_relative_information_score: -41.4078, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.792, predictive_accuracy: 0.7778, prior_entropy: 0.5917, recall: 0.7778, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4078, root_relative_squared_error: 1.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7968, kb_relative_information_score: 48.8632, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.8071, kappa: 0.2005, kb_relative_information_score: -39.1266, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8088, predictive_accuracy: 0.8056, prior_entropy: 0.5917, recall: 0.8056, relative_absolute_error: 0.9325, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3882, root_relative_squared_error: 1.1224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7968, kb_relative_information_score: 48.8632, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5959, f_measure: 0.8078, kappa: 0.1829, kb_relative_information_score: -8.0459, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8047, predictive_accuracy: 0.8111, prior_entropy: 0.5917, recall: 0.8111, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4116, root_relative_squared_error: 1.1902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7968, kb_relative_information_score: 48.8632, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7968, kb_relative_information_score: 48.8632, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7968, kb_relative_information_score: 48.8632, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7968, kb_relative_information_score: 48.8632, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5339, f_measure: 0.7941, kappa: -0.0108, kb_relative_information_score: -9.1831, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7408, predictive_accuracy: 0.8556, prior_entropy: 0.5917, recall: 0.8556, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.8004, kappa: 0.0319, kb_relative_information_score: -36.7077, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7784, predictive_accuracy: 0.85, prior_entropy: 0.5917, recall: 0.85, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3465, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.8216, kappa: 0.3038, kb_relative_information_score: 2.7774, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8355, predictive_accuracy: 0.8111, prior_entropy: 0.5917, recall: 0.8111, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4346, root_relative_squared_error: 1.2566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5658, f_measure: 0.7807, kappa: 0.1214, kb_relative_information_score: -33.0672, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7902, predictive_accuracy: 0.7722, prior_entropy: 0.5917, recall: 0.7722, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.38, scimark_benchmark: 1697.6783, usercpu_time_millis: 578.125, usercpu_time_millis_training: 578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7968, kb_relative_information_score: 48.8632, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0776, scimark_benchmark: 1697.6783, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7968, kb_relative_information_score: 48.8632, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0776, scimark_benchmark: 1862.8608, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7968, kb_relative_information_score: 48.8632, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0776, scimark_benchmark: 1323.4551, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7968, kb_relative_information_score: 48.8632, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0776, scimark_benchmark: 1610.5878, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5658, f_measure: 0.7807, kappa: 0.1214, kb_relative_information_score: -33.0672, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7902, predictive_accuracy: 0.7722, prior_entropy: 0.5917, recall: 0.7722, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.38, scimark_benchmark: 1382.713, usercpu_time_millis: 550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6165, f_measure: 0.8354, kappa: 0.2439, kb_relative_information_score: 24.8846, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8272, predictive_accuracy: 0.8556, prior_entropy: 0.5917, recall: 0.8556, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3597, root_relative_squared_error: 1.04, scimark_benchmark: 1918.4916, usercpu_time_millis: 1421.875, usercpu_time_millis_training: 1421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.8118, kappa: 0.1736, kb_relative_information_score: 5.4304, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8033, predictive_accuracy: 0.8222, prior_entropy: 0.5917, recall: 0.8222, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4067, root_relative_squared_error: 1.176, scimark_benchmark: 1918.4916, usercpu_time_millis: 1906.25, usercpu_time_millis_training: 1906.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.8228, kappa: 0.1858, kb_relative_information_score: 33.5012, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8114, predictive_accuracy: 0.8444, prior_entropy: 0.5917, recall: 0.8444, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3944, root_relative_squared_error: 1.1404, scimark_benchmark: 1427.64, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5959, f_measure: 0.8078, kappa: 0.1829, kb_relative_information_score: -8.0459, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8047, predictive_accuracy: 0.8111, prior_entropy: 0.5917, recall: 0.8111, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4116, root_relative_squared_error: 1.1902, scimark_benchmark: 1459.8893, usercpu_time_millis: 2940, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, f_measure: 0.8075, kappa: 0.1416, kb_relative_information_score: 4.4473, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7963, predictive_accuracy: 0.8222, prior_entropy: 0.5917, recall: 0.8222, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4036, root_relative_squared_error: 1.1669, scimark_benchmark: 1255.8196, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, f_measure: 0.8075, kappa: 0.1416, kb_relative_information_score: 4.4473, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7963, predictive_accuracy: 0.8222, prior_entropy: 0.5917, recall: 0.8222, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4036, root_relative_squared_error: 1.1669, scimark_benchmark: 1360.6915, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.7993, kappa: 0.1818, kb_relative_information_score: -44.1558, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8045, predictive_accuracy: 0.7944, prior_entropy: 0.5917, recall: 0.7944, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4131, root_relative_squared_error: 1.1944, scimark_benchmark: 1259.2006, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.8478, kappa: 0.3161, kb_relative_information_score: 48.8632, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8413, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0776, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5987, f_measure: 0.8032, kappa: 0.191, kb_relative_information_score: -7.4639, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8066, predictive_accuracy: 0.8, prior_entropy: 0.5917, recall: 0.8, relative_absolute_error: 0.8262, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.2931, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.8439, kappa: 0.288, kb_relative_information_score: 36.4819, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8372, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.9902, scimark_benchmark: 1744.8652, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.7743, kappa: 0.1493, kb_relative_information_score: -47.9362, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7985, predictive_accuracy: 0.7556, prior_entropy: 0.5917, recall: 0.7556, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.49, root_relative_squared_error: 1.4169, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.8101, kappa: 0.226, kb_relative_information_score: -3.9839, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8151, predictive_accuracy: 0.8056, prior_entropy: 0.5917, recall: 0.8056, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.4383, root_relative_squared_error: 1.2673, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, f_measure: 0.8274, kappa: 0.2186, kb_relative_information_score: -3.1985, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8175, predictive_accuracy: 0.8444, prior_entropy: 0.5917, recall: 0.8444, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0839, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.7879, kappa: -0.0072, kb_relative_information_score: -11.4914, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7583, predictive_accuracy: 0.8278, prior_entropy: 0.5917, recall: 0.8278, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3811, root_relative_squared_error: 1.1018, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4419, f_measure: 0.7968, kb_relative_information_score: 1.3748, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3461, root_relative_squared_error: 1.0007, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, f_measure: 0.8099, kappa: 0.067, kb_relative_information_score: -29.7768, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.8845, predictive_accuracy: 0.8667, prior_entropy: 0.5917, recall: 0.8667, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.9779, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4419, f_measure: 0.7968, kb_relative_information_score: -3.6672, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2421, number_of_instances: 180, precision: 0.7415, predictive_accuracy: 0.8611, prior_entropy: 0.5917, recall: 0.8611, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.3459, root_mean_squared_error: 0.3461, root_relative_squared_error: 1.0008, scimark_benchmark: 1744.8652,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs