LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed and efficient with the following advantages:

Comparison experiments on public datasets show that LightGBM can outperform existing boosting frameworks on both efficiency and accuracy, with significantly lower memory …

LightGBM, short for Light Gradient-Boosting Machine, is a free and open-source distributed gradient-boosting framework for machine learning, originally developed by Microsoft. [4][5] It is …

Jul 15, 2020 · LightGBM is an outstanding choice for solving supervised learning tasks particularly for classification, regression and ranking problems. Its unique algorithms, efficient memory …

Light gradient boosting machine (LightGBM) is defined as a tree-based ensemble learning approach designed to enhance efficiency and scalability in high-dimensional input feature …

Dec 11, 2024 · Light gradient-boosting machine (LightGBM) is an open-source machine learning framework for gradient-boosting decision trees. Out of tons of machine learning frameworks …

Mar 16, 2024 · LightGBM was developed to address the computational inefficiencies of traditional Gradient Boosting Machines (GBM), which process all data instances across all features, …

May 2, 2025 · What is LightGBM (Light gradient Boosting Machine)? LightGBM is a powerful and efficient open-source gradient boosting framework for machine learning. It’s specifically …

Jan 8, 2024 · LightGBM, an open-source gradient boosting framework known for its efficiency with large datasets, was developed by Microsoft’s team led by Guolin Ke and introduced in a 2017 …

When your package installation is done, you can check quickly if your LightGBM R-package is working by running the following: lightgbm is available on CRAN, and can be installed with the …