to comprehensively assess predictive performance. For frequency prediction, extreme gradient boosting (XGBoost …) demonstrates the lowest MAE, indicating higher accuracy compared to gradient boosting machines (GBMs) and a generalized linear … magnitudes compared to gradient boosting machines (GBMs) and a generalized linear model (Poisson). Conversely, the generalized …

chain, where export-price increases are passed through more rapidly than decreases. An ECM-constrained gradient boosting …

boosting models that are found to perform well individually. Empirical tests have been carried out on an openly available …

Forest (RF), Support Vector Regressor (SVR), K-Nearest Neighbor (KNN), and eXtreme Gradient Boosting (XGBoost) - were …

well as L2-boosting while preserving theoretical properties and ensuring computational efficiency. Furthermore, a …