Classification models are very sensitive to data uncertainty. and finding robust classifiers that are less sensitive to data uncertainty has raised great interest in the machine learning literature. This paper aims to construct robust support vector machine classifiers under feature data uncertainty via two probabilistic arguments. The first classifier. https://thewooblers.shop/product-category/accessory/