Yes, if you simplify the discussion by removing important differences - which is probably not the best idea when talking about classification. There is a signi

Yes, if you simplify the discussion by removing important differences - which is probably not the best idea when talking about classification. There is a significant difference between people classifying things differently when they exist right on the boundary between two classifications (ie two implementations of the same classification method will frequently disagree), and classifying things differently when the classifications are nowhere near each other (ie you’d hope an objective method has a significantly lower error rate). The former is about the accuracy and precision of your measurements. The latter is about how you interpret them. Both are important, but are also different subjects.