false positive (FP) (de.: falsch positiv)

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

See also:

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

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

EXAMPLE The referee awards a goal that was offside and so should not have been awarded.

ISTQB - CTAI Syllabus An ML model prediction in which the model mistakenly predicts the positive 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_falsepositiveFP_13kn6w4,
author = {{AI-Glossary.org}},
title = {{false positive (FP)}},
howpublished = "https://www.ai-glossary.org/index.php?p=13kn6w4\&l=en",
year = "2024",
note = "online, accessed: 2024-11-23" }