Table 5 Training Results of Optimizer-based MLP Models.
From: MLP Enhanced CO2 Emission Prediction Model with LWSSA Nature Inspired Optimization
Model | R2 | RMSE | MSLE | MAE | MAPE |
|---|---|---|---|---|---|
EDO-MLP | 0.889406 | 0.094487 | 0.004307 | 0.070977 | 0.841958 |
LWSSA-MLP | 0.974899 | 0.048447 | 0.000916 | 0.038289 | 0.435649 |
MFO-MLP | 0.954088 | 0.065521 | 0.001868 | 0.049655 | 0.184302 |
SSA-MLP | 0.960668 | 0.060645 | 0.001829 | 0.050948 | 1.452752 |
TSO-MLP | 0.972769 | 0.050461 | 0.001123 | 0.038808 | 0.158316 |
YDSE-MLP | 0.923109 | 0.078786 | 0.003002 | 0.063656 | 0.872722 |
MLP | 0.905426 | 0.094039 | 0.003886 | 0.072181 | 2.367216 |
RWGWO-MLP | 0.951567 | 0.062529 | 0.002123 | 0.047031 | 0.234546 |
AVOA-MLP | 0.967993 | 0.050831 | 0.000976 | 0.036251 | 0.165402 |
GRO-MLP | 0.934530 | 0.072699 | 0.002052 | 0.054381 | 0.210376 |
HBA-MLP | 0.897429 | 0.090996 | 0.003582 | 0.067897 | 0.177824 |