2nd Place Winner in Section 02: Spring 2019
by Team Skynet Boiz
In an ever-changing economic world, it is imperative that payments are met in time. To address this, our project aims to detect trends in loan payments and to predict whether people will fully pay their loans back in a timely manner. Aforementioned trends will be based on features such as credit policy and interest rate. Using Confusion Matrix and Area Under the Curve measurements, we will evaluate the quality of our data and of the classification models we implement. The various models will be compared in performance using f1 score. In providing a means to predict these payments, we hope to provide Virginian citizens and companies with the tools they need in delegating their money effectively