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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 a parallel tree boosting(also known as GBDT, GBM) that solve many data science problems in a fast and accurate way. When users leave XGBoost reviews, G2 also collects common questions about the day-to-day use of XGBoost. These questions are then answered by our community of 850k professionals. Submit your question below and join in on the G2 Discussion.

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