false negative

Terms from Artificial Intelligence: humans at the heart of algorithms

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 on pages 180, 181, 196, 450, 451, 473, 506