Open source. Open possibilities.

XGBoost is an optimized distributed gradient boosting library that is efficient, flexible, and portable. It implements machine learning algorithms under the Gradient Boosting framework and provides parallel tree boosting (GBDT, GBM) to solve data science problems accurately and quickly. It runs on major distributed environments and supports multiple languages.