Ensemble methods are advanced statistical and machine learning techniques that combine multiple models to improve predictive performance. Instead of relying on a single model, ensemble methods aggregate predictions from various models to produce a more accurate and reliable outcome. These methods are highly beneficial in fields such as Epidemiology, where accurate predictions can significantly impact public health interventions.
