Overfit

In all modeling techniques, and neural networks in particular, care must be taken not to overtrain or overfit the model. If possible, models should be interpreted in terms of their mechanistic meaning.

If your strategy is to always fit and use the global model, you will probably overfit the model (i.e., include unnecessary variables).