While most data analysis today has moved on to make use of machine learning, credit underwriting still predominantly relies on traditional scoring techniques.
Why is this? Machine learning models are hard to understand. They are complex “black boxes.” It isn’t immediately obvious why machine learning models make the decisions they make, or which variables are the most important to the model in general.
So how do lenders take advantage of machine learning? We're here to explain.