The paper shows multiple models that can be used for predicting defaults, along with their results on how they fared in terms of accuracy. The paper not only gives a brief about the models, so as to not give them a “black-box” feel but also shows how they can be tweaked in multiple ways using advanced Machine learning techniques to improve their accuracy!