Table 5.
XGBoosta hyperparameter tuning in the internal training and validation cohorts using 5-fold experiments.
| Trees | Value |
| 100 | 0.80 (0.01) |
| 200 | 0.81 (0.01) |
| 1000 | 0.80 (0.01) |
aXGBoost: extreme gradient boosting.
XGBoosta hyperparameter tuning in the internal training and validation cohorts using 5-fold experiments.
| Trees | Value |
| 100 | 0.80 (0.01) |
| 200 | 0.81 (0.01) |
| 1000 | 0.80 (0.01) |
aXGBoost: extreme gradient boosting.