Table 4 Performance across 50 iterations for both the training and testing datasets.
From: Evaluation of liquefaction potential in central Taiwan using random forest method
Performance indices | Ideal value | Training | Testing |
|---|---|---|---|
R2 | 1 | 0.99 | 0.90 |
RMSE | 0 | 7.54 × 10–3 | 1.60 × 10–1 |
VAF | 100 | 99.98 | 89.21 |
PI | 2 | 1.99 | 1.63 |
MAE | 0 | 3.46 × 10–3 | 5.11 × 10–2 |
WI | 1 | 0.99 | 0.97 |
WMAPE | 0 | 7.10 × 10–3 | 9.62 × 10–2 |
NS | 1 | 0.99 | 0.89 |
AIC | NA | –3681.0 | –579.4 |
