Contains the R code for the credit risk model done using Logistic Regression and Decision Trees

Modeling credit risk for both personal and company loans is of major importance for banks. The probability that a debtor will default is a key component in getting to a measure for credit risk. I focused on two model types that are often used in the credit scoring context; logistic regression and decision trees.