OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9522, kappa: 0.8828, kb_relative_information_score: 27647.5255, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9522, predictive_accuracy: 0.9522, prior_entropy: 0.863, recall: 0.9522, relative_absolute_error: 0.2069, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4264, scimark_benchmark: 1464.4564, usercpu_time_millis: 5808.948, usercpu_time_millis_testing: 14.527, usercpu_time_millis_training: 5794.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9529, kappa: 0.8844, kb_relative_information_score: 27479.9857, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9528, predictive_accuracy: 0.9529, prior_entropy: 0.863, recall: 0.9529, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4273, scimark_benchmark: 1449.868, usercpu_time_millis: 3502.875, usercpu_time_millis_testing: 16.057, usercpu_time_millis_training: 3486.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.966, kappa: 0.9165, kb_relative_information_score: 29339.1972, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3593, scimark_benchmark: 1461.5686, usercpu_time_millis: 1542.876, usercpu_time_millis_testing: 13.932, usercpu_time_millis_training: 1528.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9253, kappa: 0.8137, kb_relative_information_score: 21069.2745, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9268, predictive_accuracy: 0.9269, prior_entropy: 0.863, recall: 0.9269, relative_absolute_error: 0.4245, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.5536, scimark_benchmark: 1456.6477, usercpu_time_millis: 193.131, usercpu_time_millis_testing: 6.015, usercpu_time_millis_training: 187.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.961, kappa: 0.9042, kb_relative_information_score: 28622.1119, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3881, scimark_benchmark: 1460.1881, usercpu_time_millis: 2689.882, usercpu_time_millis_testing: 17.197, usercpu_time_millis_training: 2672.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9602, kappa: 0.9022, kb_relative_information_score: 28567.9175, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.1816, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.3908, scimark_benchmark: 1445.1581, usercpu_time_millis: 3230.267, usercpu_time_millis_testing: 19.549, usercpu_time_millis_training: 3210.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9587, kappa: 0.8985, kb_relative_information_score: 28368.8609, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9586, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.3966, scimark_benchmark: 1454.4547, usercpu_time_millis: 625.56, usercpu_time_millis_testing: 5.38, usercpu_time_millis_training: 620.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9667, kappa: 0.9182, kb_relative_information_score: 29525.0863, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.3592, scimark_benchmark: 1446.4213, usercpu_time_millis: 4023.335, usercpu_time_millis_testing: 11.77, usercpu_time_millis_training: 4011.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8595, kappa: 0.6546, kb_relative_information_score: 14936.9844, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8591, predictive_accuracy: 0.86, prior_entropy: 0.863, recall: 0.86, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.7246, scimark_benchmark: 1461.4928, usercpu_time_millis: 254.395, usercpu_time_millis_testing: 8.657, usercpu_time_millis_training: 245.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9692, kappa: 0.9245, kb_relative_information_score: 29856.5429, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9692, predictive_accuracy: 0.9693, prior_entropy: 0.863, recall: 0.9693, relative_absolute_error: 0.1427, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.3442, scimark_benchmark: 1450.9189, usercpu_time_millis: 3344.716, usercpu_time_millis_testing: 18.693, usercpu_time_millis_training: 3326.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9419, kappa: 0.8567, kb_relative_information_score: 26254.6391, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9418, predictive_accuracy: 0.9422, prior_entropy: 0.863, recall: 0.9422, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4629, scimark_benchmark: 1454.8136, usercpu_time_millis: 2756.292, usercpu_time_millis_testing: 14.381, usercpu_time_millis_training: 2741.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9547, kappa: 0.889, kb_relative_information_score: 28025.8254, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.1951, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.4132, scimark_benchmark: 1451.7152, usercpu_time_millis: 5623.738, usercpu_time_millis_testing: 17.003, usercpu_time_millis_training: 5606.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9197, kappa: 0.7983, kb_relative_information_score: 24601.9238, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9239, predictive_accuracy: 0.9222, prior_entropy: 0.863, recall: 0.9222, relative_absolute_error: 0.2967, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.5127, scimark_benchmark: 1467.3759, usercpu_time_millis: 2366.721, usercpu_time_millis_testing: 11.169, usercpu_time_millis_training: 2355.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9646, kappa: 0.9132, kb_relative_information_score: 29058.3637, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1675, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3704, scimark_benchmark: 1475.5194, usercpu_time_millis: 1340.704, usercpu_time_millis_testing: 14.941, usercpu_time_millis_training: 1325.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -9.7465, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1463.2342, usercpu_time_millis: 14.647, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 13.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9335, kappa: 0.8353, kb_relative_information_score: 25922.1155, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9338, predictive_accuracy: 0.9343, prior_entropy: 0.863, recall: 0.9343, relative_absolute_error: 0.2537, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4826, scimark_benchmark: 1453.8477, usercpu_time_millis: 96.989, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 96.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9208, kappa: 0.8011, kb_relative_information_score: 24266.4927, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9249, predictive_accuracy: 0.9233, prior_entropy: 0.863, recall: 0.9233, relative_absolute_error: 0.3132, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.5132, scimark_benchmark: 1455.5787, usercpu_time_millis: 313.976, usercpu_time_millis_testing: 6.241, usercpu_time_millis_training: 307.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9083, kappa: 0.7729, kb_relative_information_score: 23003.0673, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9083, predictive_accuracy: 0.9095, prior_entropy: 0.863, recall: 0.9095, relative_absolute_error: 0.3449, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.5522, scimark_benchmark: 1449.7944, usercpu_time_millis: 1372.083, usercpu_time_millis_testing: 3.301, usercpu_time_millis_training: 1368.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9366, kappa: 0.8431, kb_relative_information_score: 25493.3788, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9368, predictive_accuracy: 0.9373, prior_entropy: 0.863, recall: 0.9373, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4813, scimark_benchmark: 1461.0158, usercpu_time_millis: 1354.093, usercpu_time_millis_testing: 10.378, usercpu_time_millis_training: 1343.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9648, kappa: 0.9135, kb_relative_information_score: 29105.4112, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.37, scimark_benchmark: 1433.8242, usercpu_time_millis: 2040.843, usercpu_time_millis_testing: 14.211, usercpu_time_millis_training: 2026.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9224, kappa: 0.8057, kb_relative_information_score: 24704.0745, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9255, predictive_accuracy: 0.9246, prior_entropy: 0.863, recall: 0.9246, relative_absolute_error: 0.2919, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.5116, scimark_benchmark: 1459.7662, usercpu_time_millis: 1197.558, usercpu_time_millis_testing: 4.781, usercpu_time_millis_training: 1192.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9639, kappa: 0.9113, kb_relative_information_score: 29009.0347, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.374, scimark_benchmark: 1458.1075, usercpu_time_millis: 1621.212, usercpu_time_millis_testing: 8.927, usercpu_time_millis_training: 1612.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9597, kappa: 0.9009, kb_relative_information_score: 28073.0676, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3947, scimark_benchmark: 1459.8407, usercpu_time_millis: 56.465, usercpu_time_millis_testing: 1.813, usercpu_time_millis_training: 54.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9325, kappa: 0.8326, kb_relative_information_score: 25300.198, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.933, predictive_accuracy: 0.9334, prior_entropy: 0.863, recall: 0.9334, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4995, scimark_benchmark: 1449.7009, usercpu_time_millis: 4368.004, usercpu_time_millis_testing: 12.774, usercpu_time_millis_training: 4355.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9466, kappa: 0.8687, kb_relative_information_score: 26849.8787, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9465, predictive_accuracy: 0.9467, prior_entropy: 0.863, recall: 0.9467, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4507, scimark_benchmark: 1456.8926, usercpu_time_millis: 4378.761, usercpu_time_millis_testing: 12.732, usercpu_time_millis_training: 4366.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9665, kappa: 0.9177, kb_relative_information_score: 29509.2645, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.863, recall: 0.9665, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.3601, scimark_benchmark: 1457.7826, usercpu_time_millis: 7153.266, usercpu_time_millis_testing: 26.05, usercpu_time_millis_training: 7127.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9508, kappa: 0.8785, kb_relative_information_score: 26277.6726, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9509, predictive_accuracy: 0.9512, prior_entropy: 0.863, recall: 0.9512, relative_absolute_error: 0.258, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4397, scimark_benchmark: 1458.4288, usercpu_time_millis: 573.055, usercpu_time_millis_testing: 11.082, usercpu_time_millis_training: 561.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.959, kappa: 0.8994, kb_relative_information_score: 28427.4672, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3936, scimark_benchmark: 1468.5187, usercpu_time_millis: 237.424, usercpu_time_millis_testing: 1.952, usercpu_time_millis_training: 235.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9685, kappa: 0.9227, kb_relative_information_score: 29750.1716, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.3491, scimark_benchmark: 1457.6336, usercpu_time_millis: 3184.457, usercpu_time_millis_testing: 14.568, usercpu_time_millis_training: 3169.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8589, kappa: 0.6536, kb_relative_information_score: 15054.4059, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8587, predictive_accuracy: 0.8591, prior_entropy: 0.863, recall: 0.8591, relative_absolute_error: 0.5928, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.7299, scimark_benchmark: 1450.7326, usercpu_time_millis: 160.25, usercpu_time_millis_testing: 4.871, usercpu_time_millis_training: 155.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9493, kappa: 0.8757, kb_relative_information_score: 27678.5755, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9493, predictive_accuracy: 0.9494, prior_entropy: 0.863, recall: 0.9494, relative_absolute_error: 0.2043, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.432, scimark_benchmark: 1464.8933, usercpu_time_millis: 10878.048, usercpu_time_millis_testing: 20.102, usercpu_time_millis_training: 10857.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9338, kappa: 0.8354, kb_relative_information_score: 24227.8841, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9347, predictive_accuracy: 0.9349, prior_entropy: 0.863, recall: 0.9349, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.4969, scimark_benchmark: 1459.8367, usercpu_time_millis: 746.438, usercpu_time_millis_testing: 14.041, usercpu_time_millis_training: 732.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8633, kappa: 0.6668, kb_relative_information_score: 16791.2854, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8641, predictive_accuracy: 0.8627, prior_entropy: 0.863, recall: 0.8627, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6962, scimark_benchmark: 1456.9368, usercpu_time_millis: 781.409, usercpu_time_millis_testing: 9.515, usercpu_time_millis_training: 771.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 29663.2592, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1486, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3516, scimark_benchmark: 1450.8112, usercpu_time_millis: 256.352, usercpu_time_millis_testing: 1.868, usercpu_time_millis_training: 254.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8583, kappa: 0.6543, kb_relative_information_score: 15486.5832, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.859, predictive_accuracy: 0.8577, prior_entropy: 0.863, recall: 0.8577, relative_absolute_error: 0.5769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.739, scimark_benchmark: 1451.9066, usercpu_time_millis: 346.095, usercpu_time_millis_testing: 6.486, usercpu_time_millis_training: 339.609,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9644, kappa: 0.9126, kb_relative_information_score: 29085.1038, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1659, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3727, scimark_benchmark: 1310.324, usercpu_time_millis: 788.205, usercpu_time_millis_testing: 5.979, usercpu_time_millis_training: 782.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9654, kappa: 0.9151, kb_relative_information_score: 29674.2693, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3644, scimark_benchmark: 1063.6134, usercpu_time_millis: 11792.854, usercpu_time_millis_testing: 18.585, usercpu_time_millis_training: 11774.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9392, kappa: 0.8496, kb_relative_information_score: 25968.6116, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9392, predictive_accuracy: 0.9397, prior_entropy: 0.863, recall: 0.9397, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.47, scimark_benchmark: 1297.4279, usercpu_time_millis: 1043.793, usercpu_time_millis_testing: 9.43, usercpu_time_millis_training: 1034.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8631, kappa: 0.6695, kb_relative_information_score: 17303.2734, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8663, predictive_accuracy: 0.8613, prior_entropy: 0.863, recall: 0.8613, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6922, scimark_benchmark: 1293.488, usercpu_time_millis: 80.35, usercpu_time_millis_testing: 0.616, usercpu_time_millis_training: 79.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9616, kappa: 0.9058, kb_relative_information_score: 29045.2494, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3807, scimark_benchmark: 1013.4256, usercpu_time_millis: 11155.988, usercpu_time_millis_testing: 27.352, usercpu_time_millis_training: 11128.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9526, kappa: 0.8837, kb_relative_information_score: 28006.5688, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9526, predictive_accuracy: 0.9526, prior_entropy: 0.863, recall: 0.9526, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.4192, scimark_benchmark: 1311.6954, usercpu_time_millis: 5781.436, usercpu_time_millis_testing: 11.677, usercpu_time_millis_training: 5769.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9633, kappa: 0.91, kb_relative_information_score: 29016.2328, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1675, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.3768, scimark_benchmark: 1314.9247, usercpu_time_millis: 3305.907, usercpu_time_millis_testing: 13.491, usercpu_time_millis_training: 3292.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.8581, kappa: 0.6547, kb_relative_information_score: 15565.5994, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8594, predictive_accuracy: 0.8571, prior_entropy: 0.863, recall: 0.8571, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.7418, scimark_benchmark: 1028.3033, usercpu_time_millis: 25.337, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 24.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9637, kappa: 0.9111, kb_relative_information_score: 29142.9279, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3733, scimark_benchmark: 993.7015, usercpu_time_millis: 7607.173, usercpu_time_millis_testing: 30.522, usercpu_time_millis_training: 7576.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9676, kappa: 0.9205, kb_relative_information_score: 29604.2325, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1513, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3488, scimark_benchmark: 990.3064, usercpu_time_millis: 3391.17, usercpu_time_millis_testing: 41.212, usercpu_time_millis_training: 3349.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9065, kappa: 0.7682, kb_relative_information_score: 20024.9028, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9065, predictive_accuracy: 0.9078, prior_entropy: 0.863, recall: 0.9078, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.6073, scimark_benchmark: 1045.9918, usercpu_time_millis: 1803.12, usercpu_time_millis_testing: 7.722, usercpu_time_millis_training: 1795.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9612, kappa: 0.9047, kb_relative_information_score: 28810.0619, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3836, scimark_benchmark: 919.2512, usercpu_time_millis: 6115.18, usercpu_time_millis_testing: 35.046, usercpu_time_millis_training: 6080.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9579, kappa: 0.8967, kb_relative_information_score: 28418.6488, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9579, predictive_accuracy: 0.9579, prior_entropy: 0.863, recall: 0.9579, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.401, scimark_benchmark: 936.2823, usercpu_time_millis: 6191.895, usercpu_time_millis_testing: 19.648, usercpu_time_millis_training: 6172.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9656, kappa: 0.9155, kb_relative_information_score: 29459.042, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3637, scimark_benchmark: 918.3472, usercpu_time_millis: 13472.475, usercpu_time_millis_testing: 31.387, usercpu_time_millis_training: 13441.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9547, kappa: 0.889, kb_relative_information_score: 27908.3544, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.9548, prior_entropy: 0.863, recall: 0.9548, relative_absolute_error: 0.1993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.4173, scimark_benchmark: 918.0783, usercpu_time_millis: 4003.063, usercpu_time_millis_testing: 12.319, usercpu_time_millis_training: 3990.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.969, kappa: 0.9238, kb_relative_information_score: 29446.4249, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.969, predictive_accuracy: 0.9691, prior_entropy: 0.863, recall: 0.9691, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.347, scimark_benchmark: 936.5968, usercpu_time_millis: 275.485, usercpu_time_millis_testing: 7.357, usercpu_time_millis_training: 268.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8727, kappa: 0.6889, kb_relative_information_score: 17174.3291, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8731, predictive_accuracy: 0.8723, prior_entropy: 0.863, recall: 0.8723, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.6616, scimark_benchmark: 933.2794, usercpu_time_millis: 37.288, usercpu_time_millis_testing: 0.919, usercpu_time_millis_training: 36.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 29743.8034, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1458, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.3511, scimark_benchmark: 932.3258, usercpu_time_millis: 1412.817, usercpu_time_millis_testing: 5.541, usercpu_time_millis_training: 1407.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9488, kappa: 0.8744, kb_relative_information_score: 27208.9433, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9488, predictive_accuracy: 0.9489, prior_entropy: 0.863, recall: 0.9489, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4393, scimark_benchmark: 914.543, usercpu_time_millis: 1412.923, usercpu_time_millis_testing: 4.216, usercpu_time_millis_training: 1408.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9597, kappa: 0.9012, kb_relative_information_score: 29067.403, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3889, scimark_benchmark: 905.844, usercpu_time_millis: 14115.669, usercpu_time_millis_testing: 21.841, usercpu_time_millis_training: 14093.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9231, kappa: 0.8074, kb_relative_information_score: 24211.8681, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9263, predictive_accuracy: 0.9253, prior_entropy: 0.863, recall: 0.9253, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.5084, scimark_benchmark: 921.3649, usercpu_time_millis: 838.618, usercpu_time_millis_testing: 7.015, usercpu_time_millis_training: 831.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9491, kappa: 0.8751, kb_relative_information_score: 27301.772, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.949, predictive_accuracy: 0.9492, prior_entropy: 0.863, recall: 0.9492, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4388, scimark_benchmark: 912.3667, usercpu_time_millis: 2168.223, usercpu_time_millis_testing: 5.897, usercpu_time_millis_training: 2162.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8669, kappa: 0.6751, kb_relative_information_score: 17147.39, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8675, predictive_accuracy: 0.8664, prior_entropy: 0.863, recall: 0.8664, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6826, scimark_benchmark: 898.419, usercpu_time_millis: 1066.002, usercpu_time_millis_testing: 11.596, usercpu_time_millis_training: 1054.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9512, kappa: 0.8803, kb_relative_information_score: 27372.5592, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9512, predictive_accuracy: 0.9513, prior_entropy: 0.863, recall: 0.9513, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4318, scimark_benchmark: 926.8195, usercpu_time_millis: 4319.076, usercpu_time_millis_testing: 16.53, usercpu_time_millis_training: 4302.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9665, kappa: 0.9179, kb_relative_information_score: 29431.067, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3612, scimark_benchmark: 882.1378, usercpu_time_millis: 9098.355, usercpu_time_millis_testing: 33.516, usercpu_time_millis_training: 9064.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9614, kappa: 0.9052, kb_relative_information_score: 28519.007, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3845, scimark_benchmark: 912.0487, usercpu_time_millis: 1039.859, usercpu_time_millis_testing: 29.092, usercpu_time_millis_training: 1010.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -2.9141, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 875.3115, usercpu_time_millis: 56.051, usercpu_time_millis_testing: 2.802, usercpu_time_millis_training: 53.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9529, kappa: 0.884, kb_relative_information_score: 26923.5677, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9528, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.43, scimark_benchmark: 882.458, usercpu_time_millis: 1724.977, usercpu_time_millis_testing: 39.043, usercpu_time_millis_training: 1685.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9489, kappa: 0.8747, kb_relative_information_score: 27233.031, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9489, predictive_accuracy: 0.949, prior_entropy: 0.863, recall: 0.949, relative_absolute_error: 0.219, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4406, scimark_benchmark: 881.8265, usercpu_time_millis: 8680.106, usercpu_time_millis_testing: 20.436, usercpu_time_millis_training: 8659.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9642, kappa: 0.9121, kb_relative_information_score: 29342.1574, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9642, prior_entropy: 0.863, recall: 0.9642, relative_absolute_error: 0.1565, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.3709, scimark_benchmark: 907.3802, usercpu_time_millis: 9617.193, usercpu_time_millis_testing: 22.549, usercpu_time_millis_training: 9594.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.8745, kappa: 0.6935, kb_relative_information_score: 17798.0817, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.875, predictive_accuracy: 0.874, prior_entropy: 0.863, recall: 0.874, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.6477, scimark_benchmark: 888.713, usercpu_time_millis: 77.555, usercpu_time_millis_testing: 2.69, usercpu_time_millis_training: 74.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9451, kappa: 0.8649, kb_relative_information_score: 26715.8738, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.945, predictive_accuracy: 0.9454, prior_entropy: 0.863, recall: 0.9454, relative_absolute_error: 0.2338, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.453, scimark_benchmark: 894.5874, usercpu_time_millis: 7115.171, usercpu_time_millis_testing: 29.822, usercpu_time_millis_training: 7085.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.914, kappa: 0.7859, kb_relative_information_score: 21713.3672, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9148, predictive_accuracy: 0.9156, prior_entropy: 0.863, recall: 0.9156, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.5523, scimark_benchmark: 873.5381, usercpu_time_millis: 329.616, usercpu_time_millis_testing: 8.724, usercpu_time_millis_training: 320.892,

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

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