We evaluate default prediction performance of machine learning/regression models.
Including boosted trees, random forests, penalised linear/semi-parametric logistic regression.
Using data on over 300,000 residential mortgage loans.
The results indicate varying degrees of predictive power.
Statistical tests suggest boosted regression trees outperform penalised logistic regression.