Clasifying personal loan by support vector machine

Abstract

The main objective of this study is to conduct a classi cation to predict whether a certain loan is safe and does not cause a default. Support Vector Machines is a handling classi cation problems due to its superior features. Its ideal is to solve classi cation problems for two speci c groups built by the foundation of mathematics. The trained Support Vector Machines model will be built to apply to new data customers and return results to know the loan is given to the right person who can return the loan on time.