AdaBoost R2, introduced by Drucker in 1997, extends AdaBoost to predict continuous variables, addressing challenges in regression analysis. Its iterative boosting mechanism ensures accurate forecasts for diverse datasets, making it a valuable tool in fields like environmental analytics and healthcare.
