XGBoost Documentation

XGBoost is an optimized distributed gradient boosting library designed to be highlyefficient,flexible andportable.It implements machine learning algorithms under theGradient Boosting framework.XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way.The same code runs on major distributed environment (Hadoop, SGE, MPI) and can solve problems beyond billions of examples.