Hello Everyone, I'm currently working on an assignment to develop a machine learning program for calculating credit scores, and I wanted to reach out to tap into the collective expertise of this community.
One of the approaches I’ve come across is basing the credit score on the payment history of the last 6 months. The payment history could be extracted from sources such as bank statements or mobile wallet transaction records.
Before moving forward, I’d love to hear your thoughts on this approach. Do you think using a 6-month payment history is a reliable predictor of creditworthiness? Are there any other factors or data points you would suggest integrating for a more robust model?
Any feedback or suggestions would be greatly appreciated!
Looking forward to your insights.