Table 12 Performance comparison of MGGP and conventional machine learning models.
Parameter | Gb | Gf | Gi | ||||||
---|---|---|---|---|---|---|---|---|---|
Model | R2 | MSE | MAE | R2 | MSE | MAE | R2 | MSE | MAE |
MGGP | 0.9326 | 0.0013 | 0.0263 | 0.9433 | 0.0048 | 0.0533 | 0.9756 | 0.0012 | 0.0245 |
SVR | 0.9949 | 0.0003 | 0.0115 | 0.9876 | 0.0010 | 0.0218 | 0.9441 | 0.0028 | 0.0375 |
RF | 0.9834 | 0.0008 | 0.0196 | 0.9699 | 0.0025 | 0.0344 | 0.9823 | 0.0009 | 0.0228 |
ANN | 0.9722 | 0.0014 | 0.0302 | 0.9173 | 0.0070 | 0.0658 | 0.9569 | 0.0022 | 0.0368 |