Researchers Cheng, Ximeng compared global and local XGBoost models using simulated data and German COVID-19 forecasting. Their analysis revealed that balanced datasets benefit global models, whereas varied data enhance local model stability. Consider these insights when refining your forecasting methods, as proper spatial partitioning critically influences performance.