Banks and financial institutions provide a great variety of loans such as credit card, home and home equity, student, auto, and small business. Predicting who will repay a loan and who will default has major implications to the bottom line; predictive features may include:
Type of loan
Late payment history
Debt to income ratio
Machine learning uses the power of the vast store of data that banks and financial institutions collect on their customers to make better decisions not only about who to lend to, but also in determining their risk level and resulting interest rate.
Auger makes it easy to increase prediction accuracy without painstaking model selection and configuration, allowing your data science team to get better results faster.