A chance, which is completely unpredictable. Classical methods have predictable failure modes which can be covered and fixed. How do you fix an ML model that f

A chance, which is completely unpredictable. Classical methods have predictable failure modes which can be covered and fixed. How do you fix an ML model that fails to cover a weird special case? Ultimately, you will need to validate the model, whether parametric as the old algorithms, or not, as in ML.