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Description
Ensemble prediction models, by their very nature, attempt to navigate this tradeoff by amalgamating various algorithms or utilizing multiple iterations of a single algorithm through several forest and boosting methods (AdaBoost, LightGBM, CatBoost, and XGBoost), aiming to strike an optimal balance between bias and variance [23]
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A.NoordermeerR
130 , 4854 (2019) S
