accuracy (in the context of classification) (de.: Genauigkeit (im Kontext Klassifikation))

Concerning classification in the field of AI, accuracy is a metric for measuring the quality of mostly binary classifications. It is calculated as the proportion of correct classifications in all classifications.

See also:

• quality measure

ISO/IEC TR 29119-11:2020 performance metric used to evaluate a classifier (3.1.21), which measures the proportion of classifications (3.1.20) predictions (3.1.56) that were correct

ISTQB - CTAI Syllabus The ML functional performance metric used to evaluate a classifier, which measures the proportion of predictions that were correct (After ISO/IEC TR 29119-11)

@misc{aiglossary_accuracyinthecontextofclassification_17f9xpg,
author = {{AI-Glossary.org}},
title = {{accuracy (in the context of classification)}},
howpublished = "https://www.ai-glossary.org/index.php?p=17f9xpg\&l=en",
year = "2024",
note = "online, accessed: 2024-11-21" }