A hyperparameter is a parameter whose value ______ by the researcher.

A. must be set before learning begins.
B. can be adjusted as the learning progresses.
C. should be set after the learning and before applying to validation and test data.

Correct Answer: A

Note it can be adjusted after the validation, and can be used to learn again. It must be set before the "learning" (not validaion) starts.