Loan Default Prediction
This is a team project for a competition sponsored by researchers at Imperial College London. We used data mining skills to determine whether a loan will default, as well as the loss incurred if it does default.
We used two-stage gradient boosted regression tree to minimize mean absolute error.
[Our model approach](/model approach and code/Loan Default Prediction Report.pdf)
Rank: 71 out of 675 teams