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LightGBM is an open-source gradient boosting framework that is efficient and scalable. It uses gradient-based one-side sampling, making it faster than other frameworks. It is optimized for large datasets, supports parallel and GPU learning, and is built for distributed computing. It has a simple and efficient API.
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