false negative

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 negative is when a classification or decision system gives a negative result when it should really be positive; for example if a medical diagnosis system says someone is well, when they actually have the ailment.
This is in contrast to with a true negative, a false positive or a true positive.

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