XGBoost is a decision-tree�Cbased, ensemble machine learning algorithm based on gradient boosting. However, until recently, it didn��t natively support categorical data. Categorical features had to be manually encoded before they could be used for training or inference. In the case of ordinal categories, for example, school grades, this is often done using label encoding where each category is��
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