Description
LightGBM (Light Gradient Boosting Machine) is an open-source framework developed by Microsoft for efficient gradient boosting. It is optimized for speed and scalability, using a histogram-based algorithm that significantly accelerates training while maintaining high accuracy. LightGBM is particularly well-suited for handling large datasets and supports parallel and GPU-based training, making it a popular choice for machine learning competitions and real-world applications.
