In this project, we study prediction methods for credit default risk based on past credit history, and minimal demographic data. We analyze the following data set: https://archive.ics.uci.edu/ml/datasets/default+of+credit+card+clients. We compare the area ratios of several models and make recommendations for models and model parameters that have the best predicting power.