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Amin Idelhaj, Hannah Alpert, Soumya Sankar
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.
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