A manufacturer has labeled examples of products marked defective or acceptable and wants to predict the class for new products. Which learning approach best matches the task?

1. Generative text completion without any quality evaluation.
2. Unsupervised clustering as the only use of the existing labels.
3. Regression to a continuous price with no defect labels.
4. Supervised classification.