Table 6 Performance comparison among all models.
Model | MSE | RMSE | R-squared | MAPE |
|---|---|---|---|---|
BiLSTM | 0.0004 | 0.0199 | 0.9878 | 3.24% |
LSTM | 0.0003 | 0.0195 | 0.9883 | 3.30% |
Decision tree regressor | 0.0005 | 0.0234 | 0.9827 | 5.69% |
K neighbour regressor | 0.0006 | 0.0256 | 0.9794 | 5.18% |
SVR | 0.0026 | 0.0514 | 0.9172 | 11.46% |
XGB regressor | 0.0007 | 0.0280 | 0.9753 | 5.07% |
Adaboost regressor | 0.0015 | 0.0394 | 0.9513 | 8.10% |
Catboost Regressor | 0.0025 | 0.0503 | 0.9207 | 10.89% |
Ensemble (decision tree, knn, xgb) | 0.0003 | 0.0187 | 0.9889 | 3.19% |
Proposed (CarbonMLP) | 0.0002 | 0.0142 | 0.9938 | 2.59% |
