Table 1 The comparison of prediction performance of Eg models with different features and ML regression algorithms by three evaluation metrics (R2, RMSE and MAE). The best results are highlighted in bold.
Method | 14 features | One feature | ||||
---|---|---|---|---|---|---|
R2 | RMSE | MAE | R2 | RMSE | MAE | |
LR | 0.6864 | 0.0751 | 0.0630 | 0.6064 | 0.0841 | 0.0707 |
SVR | 0.8775 | 0.0469 | 0.0422 | 0.8221 | 0.0565 | 0.0516 |
KNR | 0.8997 | 0.0425 | 0.0340 | 0.8833 | 0.0458 | 0.0365 |
RFR | 0.9105 | 0.0401 | 0.0284 | 0.9065 | 0.0410 | 0.0344 |
GBR | 0.9172 | 0.0386 | 0.0325 | 0.9072 | 0.0408 | 0.0283 |