The applicability of artificial neural networks (ANNs) is typically limited to the models they are trained with and little known about their generalizability, which a pressing issue in practical application ANNs unseen problems. Here, by using task identifying phase transitions spin models, we establish systematic generalizability such that simple two-dimensional ferromagnetic Ising model can b...