A model prediction where the model of a binary classification incorrectly predicts negative when positive would be correct.

See also:

• true positive
• true negative
• false positive

ISO/IEC TR 29119-11:2020 incorrect reporting of a failure when in reality it is a pass

Note 1 to entry: This is also known as a Type II error.

EXAMPLE The referee awards an offside when it was a goal and so reports a failure to score a goal when a goal was scored.

ISTQB - CTAI Syllabus An ML model prediction in which the model mistakenly predicts the negative class