I have two main options to calculate PD of a loan in a commercial bank; with and without machine learning.
On one hand, there are traditional methods such as Merton or KVM. On the other hand, I could use machine learning with random forests.
What are the pros/cons of using vs. not using machine learning? Are there any regulations inclined on one or the other?