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Yeah I wonder what the false positive rate is. Didn't see any mention of it though.


I think it's just the headline that's misleading, the abstract says quite clearly: "Moreover, machine learning algorithms classified individuals as autistic or control with 97% accuracy from their fMRI neurocognitive markers."

The "or control" doesn't tell you exactly what the false positive rate is, but at least it sets the upper bound at 3%.


No reason to reverse engineer. The paper has all the information you need. One false negative in the cross validation. No false positives.




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