LightGBM is a gradient boosting framework that using histogram based tree learning algorithm. It can outperform existing boosting tools on both learning speed and accuracy. Our experiments shows it is about 6x faster than xgboost with much better prediction accuracy.
LightGBM can be run on multiple machines, Our experiments shows it can perform linear speed up in parallel learning.