false negative (FN) (de.: falsch negativ)

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

See also:

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

Source: AI-Glossary.org (https://www.ai-glossary.org), License of definition text (excl. standard references): CC BY-SA 4.0, accessed: 2024-11-23

BibTeX-Information

@misc{aiglossary_falsenegativeFN_15w2crj,
author = {{AI-Glossary.org}},
title = {{false negative (FN)}},
howpublished = "https://www.ai-glossary.org/index.php?p=15w2crj\&l=en",
year = "2024",
note = "online, accessed: 2024-11-23" }