false positive

Terms from Artificial Intelligence: humans at the heart of algorithms

The glossary is being gradually proof checked, but may have typos and misspellings.

A false positive is when a classification or decision system gives a positive result when it should really be negative; for example if a medical diagnosis system says someone has a disease, when they actually are healthy.
This is in contrast to with a true positive, a false negative or a true negative.

Used in glossary entries: classification, false negative, true negative, true positive