XGBoost is one of the libraries that has gained significant favor over the last few years due to helping teams and individuals win virtually every Kaggle structured data competition. It is a leading machine learning library for classification, regression, and other ranking problems.Īnd XGBoost has become the go-to library for winning many Kaggle competitions. It is an open-source, scalable, and distributed gradient-boosted decision tree (GBDT) machine learning library offering high-performance implementations of gradient-boosted decision trees.Īlso, the core feature of XGBoost in Python is that it provides parallel tree boosting. ![]() XGBoost stands for Extreme Gradient Boost and is developed on a gradient-boost framework.
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