Data as of Sep 26, 2026 · Based on 4,029,442 AI responses across 13,338 prompts · See how Parse measures this
LightGBM is a gradient boosting framework that uses tree-based learning algorithms. It is designed to be distributed and efficient, offering faster training speed, lower memory usage, and better accuracy, with support for parallel, distributed, and GPU learning. It handles large-scale data and is developed by Microsoft.
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