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"Not if your training set is representative."

And herein lies a prominent failure mode of a huge amount of this sort of work that I've seen - hard to just "add the variation to your dataset" when your data set is one or more orders of magnitude too small to contain it. At that point all that remains is the handwaving.

The right response to insufficient data is usually simplifying the modeling.



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