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 …

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

been introduced. In this article, we propose a novel model-based gradient boosting approach for Dirichlet regression models …

-> MoST and ~66% for MoST -> LuST). Random Forest and Gradient Boosting emerged as the top-performing models, consistently …