Default prediction of credit risk Project: Dataset contains loan defaults. Objective is to build default prediction models using R. Following tasks have been done as part of project:
- Cleaning of data
- Handling unbalanced data
- Building model(s) on training data
- How many models? More the merrier
- Evaluating model performance using test data