LightGBM: A Highly Efficient Gradient Boosting Decision Tree
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.
