LightGBM

lastmod 2026-11-10created 2026-07-312 edits

LightGBM is an open-source machine learning library that implements gradient boosting decision trees. Using histogram-based splitting and leaf-wise tree growth, it is characterized by faster training and lower memory usage than earlier implementations such as XGBoost. It can handle categorical variables directly and provides Python, R, and C++ APIs.

See also

• Decision Tree
• Random Forest
• AdaBoost
• Gradient Boosting Tree (GBT)
• lightGBM
• XGBoost
• CatBoost