LightGBM: A Highly Efficient Gradient Boosting Decision Tree

NeurIPS 2017 Guolin KeQi MengThomas FinleyTaifeng WangWei ChenWeidong MaQiwei YeTie-Yan Liu

Gradient Boosting Decision Tree (GBDT) is a popular machine learning algorithm, and has quite a few effective implementations such as XGBoost and pGBRT. Although many engineering optimizations have been adopted in these implementations, the efficiency and scalability are still unsatisfactory when the feature dimension is high and data size is large... (read more)

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