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I read a couple of papers about stellar classification in which classification results were reported not in terms of error rate, as it is usually done in classification, but instead in something like : classification accuracy is 1.6 subclasses. I don't think I fully understand this system. Does classification accuracy of 2 subclasses means that all objects were classified either correctly or with neighbouring class ? Not a single object was classified with a different, completely randomn class ? I find it hardly reasonable. And what about accuracy of 1.6 subclasses ? Does that mean that 40% percent of the objects were classified correctly and 60% as their neighbours ? Once again, not a single object was classified absolutely randomly ? Thanks a lot.
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