Table 3 Performances of the Multi-tree XGBoost classification in discriminating between mortality outcomes using 100-round fivefold cross-validation using Supplementary algorithm 1
From: An interpretable mortality prediction model for COVID-19 patients
Features | AUC score for training sets (%) | AUC score for validation sets (%) |
|---|---|---|
LDH | 94.27 ± 0.82 | 92.29 ± 2.62 |
LDH, lymphocyte | 96.74 ± 0.45 | 94.40 ± 2.31 |
LDH, lymphocyte, hs-CRP | 97.84 ± 0.37 | 95.06 ± 2.21 |
