Empirical-Comparision-of-Classification-Methods-on-2018-FICO-xML-data

Supervised Learning Practice on Borrowers Behaviour

About

A stable credit score can be a good starting point to mitigate risk in a risky economy for many people. On the other hand, it is also equally important for the banks to predict different potential “high-quality” borrowers to credit them accordingly. The leading company on this topic of credit scoring is FICO and our project was inspired by the paper “Machine Learning and FICO® Scores” written by them. The dataset was provided through a machine learning challenge hosted by FICO where the contestants tried their best to create a model that can predict an outcome of a client based on various variables about the client. This project follows a similar objective where I will predict the quality of an individual based on their personal data and try to provide an explainable model.