XGBoost

XGBoost (eXtreme Gradient Boosting) is an optimized, distributed gradient boosting library designed for efficiency, flexibility, and portability. It implements machine learning algorithms under the Gradient Boosting framework, excelling in tasks like classification, regression, and ranking. It currently stands at version 3.2.0, with frequent patch releases and major updates typically occurring every 6-12 months.