LightGBM is a gradient boosting framework that using tree based learning algorithms. It can outperform existing boosting tools on both learning efficiency and accuracy. Our experiments shows that the result of efficiency and accuracy are better than other boosting tools.
LightGBM can leveraging multiple machines to speed-up the training procedure, which can achive linear speed-up in our experiments settings.