A lender has historical applications labelled as repaid or defaulted and wants to predict the outcome of new applications. Which learning approach best matches this task?

1. Reinforcement learning from exploratory lending actions
2. Supervised binary classification
3. Unsupervised clustering
4. Regression with loan amount as the target