XGBoost is an optimized distributed gradient boosting library, highly efficient, flexible, and portable. It implements machine learning algorithms under the Gradient Boosting framework, providing parallel tree boosting for solving data science problems quickly and accurately. XGBoost supports distributed computing on platforms like Hadoop and can handle problems involving billions of examples.
