A classifier's validation data contains a category absent from training. What should the preprocessing design address?

1. Silently mapping the new category to the target value
2. Retraining the encoder on the validation labels before scoring
3. A defined handling strategy for previously unseen categories
4. Deleting the feature name from the model signature