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LightGBM: A Highly Efficient Gradient Boosting Decision Tree

Guolin Ke,Qi Meng,5 Authors,Tie-Yan Liu

2017 · DBLP: conf/nips/KeMFWCMYL17
Neural Information Processing Systems · 14,629 Citations

TLDR

It is proved that, since the data instances with larger gradients play a more important role in the computation of information gain, GOSS can obtain quite accurate estimation of the information gain with a much smaller data size.