false positive

Terms from Artificial Intelligence: humans at the heart of algorithms

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 on pages 180, 181, 196, 275, 447, 450, 473, 505