A retailer has historical orders labeled fraudulent or legitimate. It wants a model to predict one of these labels for each new order. Which learning approach and task best match the requirement?

1. Supervised learning with regression.
2. Reinforcement learning with a reward-driven control policy.
3. Supervised learning with binary classification.
4. Unsupervised learning with clustering.