A screening classifier flags potentially defective components for human inspection. Missing an actual defect is much more costly than inspecting an additional good component. Which metric most directly measures how many actual defects the model successfully flags?

1. Precision for the defective class.
2. Average inference latency.
3. Overall accuracy alone.
4. Recall for the defective class.