Show pageBacklinksCite current pageExport to PDFBack to top This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong. Gradient boosting is a [[machine learning]] [[technique]] used in [[regression]] and [[classification]] [[task]]s, among others. It gives a [[prediction model]] in the form of an ensemble of weak prediction models, i.e., models that make very few assumptions about the data, which are typically simple decision trees gradient_boosting.txt Last modified: 2024/06/07 02:49by 127.0.0.1