What are the points called in a dataset where the points have the same features but different labels
I'm not aware of any specific term for this but in general I would call this either:


noisy data, typically in the case where these inconsistencies are due to mistakes in the annotation process (normally the proportion of mistakes is much lower than the proportion of correct instances).
poor data design, if the way instances/features are defined doesn't match the goal of the ML process (the example provided would fall into this category).