An experiment compares models using a test set repeatedly to choose hyperparameters. Which approach best fits?

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