A model should prioritize catching costly positive cases even if false positives require additional review. Which approach best fits?

1. Reserve a final independent test set and use validation data for model selection.
2. Investigate overfitting and use appropriate regularization or data improvements.
3. Choose and validate a decision threshold aligned with recall and false-positive costs.
4. Use metrics such as precision, recall, and PR analysis appropriate to the business costs.