Table 2 Evaluation indices of the prediction results of the three models.
Model | Evaluation indexes | Dataset 1 | Dataset 2 | ||
|---|---|---|---|---|---|
Training | Test | Training | Test | ||
SVR | R2 | 0.997 | 0.996 | 0.988 | 0.982 |
MAE | 136.082 | 162.977 | 63.043 | 88.884 | |
RMSE | 207.608 | 275.212 | 83.602 | 149.849 | |
MAPE (%) | 11.236 | 15.346 | 14.377 | 16.691 | |
RF | R2 | 0.997 | 0.995 | 0.989 | 0.980 |
MAE | 151.464 | 174.605 | 57.859 | 74.254 | |
RMSE | 228.251 | 289.435 | 80.311 | 135.276 | |
MAPE (%) | 12.479 | 14.349 | 12.733 | 16.760 | |
XGBoost | R2 | 0.997 | 0.996 | 0.989 | 0.989 |
MAE | 139.726 | 162.435 | 53.969 | 70.725 | |
RMSE | 211.573 | 274.209 | 79.475 | 101.035 | |
MAPE (%) | 11.433 | 13.923 | 10.496 | 13.805 | |
