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AI & Machine Learning · Intermediate

XGBoost

Extreme Gradient Boosting: a fast, regularized, widely used gradient-boosted decision tree library.

Definition

XGBoost adds L1/L2 regularization, sparsity handling, parallel tree construction and GPU support to gradient boosting. It is a built-in algorithm in Amazon SageMaker AI and commonly wins tabular competitions. Key hyperparameters include max_depth, eta (learning rate), num_round and subsample.

Exam tip

On AWS ML exams, XGBoost is the go-to built-in algorithm for tabular classification and regression.

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