The AUC is the area under the ROC curve and is a performance measure that tells you how well your model can classify different classes. The higher the AUC the better the model.

Accuracy is a performance metric that allows you to evaluate how good your model is. It’s used in classification models and is the ratio of: Tip: Accuracy is highly sensitive to class imbalances in your data.

Acceptance Rate is the number of accepted loans divided by the total number of loans.

A broker or a loan broker is a third party that sometimes acts as a go-between for a borrower and a lender. Some lenders, including both traditional and non-traditional lenders, use brokers to provide the necessary applications, documents, and processes...

Prepayment or the churn rate, also known as the rate of attrition or customer churn, is the rate at which customers stop doing business with an entity. It is most commonly expressed as the percentage of service subscribers who discontinue their subscriptions...