Model divergence, nonsense predictions. The whole black art of ML (specifically neural nets) is coaxing them into working.

If you take some sophisticated deep neural net and try to train it on a binary classification where tails occurs 99% of the time - unless you specifically take measures to correct for this bias - the net will just learn to predict tails.