A Predictive Statistical Analysis on Loan Data
Description
Created predictive models using R to determine significant variables that help determine whether someone will default on their loans using a data set of almost 900,000 loan applicants.
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2021-05
Agent
- Author (aut): Mazza, Rachel Marie
- Thesis director: Schneider, Laurence
- Committee member: Sha, Xiqing
- Contributor (ctb): School of Accountancy
- Contributor (ctb): Department of Information Systems
- Contributor (ctb): Barrett, The Honors College