In machine learning there is the concept of a generalization bound where you can determine if your model has successfully generalized without reference to a val

In machine learning there is the concept of a generalization bound where you can determine if your model has successfully generalized without reference to a validation dataset. In which case, your training and real world dataset can be the same.