Table 3 Summary of 10-fold cross-validation using a support vector regression (SVR) model for flexible and rigid vegetation.
From: Artificial intelligence evaluation of nature based flood resilience in hilly terrain
Fold | SVR (RV) | SVR (FV) | ||||||
|---|---|---|---|---|---|---|---|---|
RMSE | MAE | NSE | KGE | RMSE | MAE | NSE | KGE | |
1 | 21.284 | 17.165 | 0.233 | 0.195 | 16.114 | 11.858 | 0.264 | 0.245 |
2 | 15.264 | 13.642 | 0.277 | 0.222 | 12.090 | 10.197 | 0.219 | 0.151 |
3 | 21.012 | 16.068 | 0.051 | 0.072 | 20.189 | 14.367 | 0.124 | 0.114 |
4 | 17.492 | 13.185 | 0.124 | 0.206 | 13.547 | 10.055 | 0.054 | 0.122 |
5 | 19.792 | 17.465 | 0.011 | 0.145 | 16.805 | 14.233 | 0.161 | 0.044 |
6 | 17.088 | 12.940 | 0.056 | 0.008 | 19.631 | 14.829 | 0.044 | 0.120 |
7 | 20.135 | 16.416 | 0.244 | 0.185 | 16.059 | 11.428 | 0.244 | 0.232 |
8 | 19.252 | 16.494 | 0.263 | 0.197 | 13.322 | 11.037 | 0.309 | 0.254 |
9 | 15.969 | 12.619 | 0.313 | 0.214 | 12.217 | 8.569 | 0.350 | 0.282 |
10 | 17.617 | 15.063 | 0.252 | 0.213 | 18.047 | 12.944 | 0.254 | 0.194 |
