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 in Chap. 9: pages 120, 121, 129; Chap. 12: page 180; Chap. 18: pages 288, 290; Chap. 19: page 305; Chap. 20: page 325