Gradient boosting: Revision history

18 March 2023

• curprev 19:0219:02, 18 March 2023‎ Walle talk contribs‎ 3,910 bytes +3,910‎ Created page with "{{see also|Machine learning terms}} ==Introduction== Gradient boosting is a popular and powerful machine learning algorithm used for both classification and regression tasks. It belongs to the family of ensemble learning methods, which combine the predictions of multiple base models to produce a more accurate and robust prediction. The main idea behind gradient boosting is to sequentially add weak learners (typically decision trees) to the ensemble, each..."