After doing a validation study I repeat it a second time. This time I use a different set of subjects. This is called

This is called cross-validation repeated validation.

Explanation:

Cross validation is a technique that allows a user to be able to analyze and evaluate the entire dataset of a given model or system, contemplating its generalization. This type of validation allows the model to be tested with all its data under intense evaluation, avoiding the existence of a variance that could harm the system. When the cross-validation is repeated right after completion, as we saw in the question above, we can call this process of cross-validation repeated validation.