Table 12.
Runtime and computational complexity of forecasting models.
| Model | Training time (s) | Inference time / Sample (ms) | Model size (MB) | Computational complexity (Relative) | Suitability for real-time |
|---|---|---|---|---|---|
| Gradient Boosting | Low | Low | Small | Low | High |
| XGBoost | Medium | Low–Medium | Medium | Medium | High |
| LightGBM | Low | Very Low | Small | Low | Very High |
| CatBoost | Medium | Medium | Medium | Medium | High |
| Neural Network | High | Medium | Large | High | Moderate |
| LSTM | Very High | High | Very Large | Very High | Low |
| Proposed Stacked Regressor | Medium | Low | Medium | Medium | Very High |