Table 4 Performance metrics summary for training and testing datasets across models.
Model type | Status | RMSE | MSE | Rsquared | MAE |
---|---|---|---|---|---|
RF | Trained | 7.518 | 56.527 | 0.917 | 5.777 |
Tested | 10.863 | 117.994 | 0.816 | 7.882 | |
GB | Trained | 6.958 | 48.409 | 0.929 | 5.642 |
Tested | 9.927 | 98.536 | 0.849 | 7.631 | |
SVR | Trained | 2.712 | 7.354 | 0.989 | 2.364 |
Tested | 7.743 | 59.958 | 0.910 | 4.178 | |
ANN | Trained | 5.037 | 25.375 | 0.963 | 3.820 |
Tested | 9.876 | 97.526 | 0.852 | 6.317 | |
GPR | Trained | 1.672 | 2.795 | 0.996 | 1.082 |
Tested | 6.835 | 46.717 | 0.932 | 3.345 |