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

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

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 usage and …

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 based on …

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 contexts and …

Apr 27, 2021 · Light Gradient Boosted Machine, or LightGBM for short, is an open-source library that provides an efficient and effective implementation of the gradient boosting algorithm.

Sep 24, 2023 · Light GBM, short for Light Gradient Boosting Machine, is an open-source, distributed, high-performance implementation of the gradient boosting framework. It was developed by Microsoft …

Tree based algorithms can be improved by introducing boosting frameworks. 'LightGBM' is one such framework, based on Ke, Guolin et al. (2017) <https://papers.nips. >. This package offers an R …

Jul 23, 2025 · Different machine learning techniques, including decision trees, neural networks, and support vector machines, can perform better with boosting. For tree-based models, LightGBM is a …

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 …