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What do you think? Here's my answer:
There are two types of "inaccuracy":
You also need to perform a sensitivity analysis, to see how your predictive model is sensitive to noise introduced in the data: add random noise to your data and check loss of predictive power - if small noise results in big performance drop, then your model is not robust and should be discarded.