Reasons for tests

Testing is a pivotal aspect of the machine learning lifecycle. Just as developers rigorously test software applications to identify bugs and ensure they function as intended, data scientists and machine learning practitioners must thoroughly test machine learning models. Robust testing ensures that your models are accurate, reliable, and free from unintended biases. Which of the following statements about testing is not correct?