A team keeps a separate test dataset that is not used to train or tune its model. What is the main purpose of this separation?

1. Estimate performance on data not used for model development
2. Guarantee that production data will never change
3. Increase the number of training updates on the test examples
4. Replace all evaluation metrics with training accuracy