LightGBM is a gradient boosting framework that uses tree based learning
algorithms. It is designed to be distributed and efficient with the
following advantages:
* Faster training speed and higher efficiency.
* Lower memory usage.
* Better accuracy.
* Support of parallel, distributed, and GPU learning.
* Capable of handling large-scale data.