The goal of this project was to analyse the determinants of credit defaults using logistic regression. The main hypothesis was that financial variables are better predictors than demographical ones, but results of the analysis suggest that in fact both types of variables are similarly important. Data source: https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients