In the realm of deep learning, particularly when employing neural networks, the proper handling of datasets is of paramount importance. The question at hand pertains to whether a proper approach necessitates both a training dataset and an out-of-sample testing dataset, and whether these datasets need to be fully separated. A fundamental principle in machine learning