About LightGBM
LightGBM is a gradient boosting framework that uses tree-based learning algorithms and is designed for distributed and efficient learning. It's great for both classification and regression tasks.
Features
- Efficient Parallel Training
- Capable of handling large-scale data
- Support for categorical features
- Fast histogram-based learning
Why Use LightGBM?
It is much faster than other boosting frameworks and achieves high accuracy by employing novel techniques found nowhere else!