Table 6. Evaluation metrics of ensemble model (EML) and each sub-model based on five-fold spatial CV.
| Model | R2 | CCC | RMSE | MAE | Bias |
|---|---|---|---|---|---|
| EML | 0.89 | 0.94 | 0.10 | 0.06 | −0.0008 |
| Extremely randomized trees | 0.88 | 0.94 | 0.10 | 0.07 | 0.0002 |
| Gradient descended trees | 0.88 | 0.94 | 0.10 | 0.07 | 0.001 |
| Artificial neural network | 0.87 | 0.93 | 0.11 | 0.07 | 0.0001 |