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Exploring the Mechanisms and Benefits of XGBoost Algorithm
This chapter delves into the importance of the learning rate in XGBoost, emphasizing how it can be tweaked to enhance model performance. It also outlines the key features that make XGBoost a powerful algorithm, including its handling of residuals, regularization, missing data, categorical values, and efficient computation utilizing multiple cores.