Performance & Evaluation
Precision
The proportion of the AI's positive predictions that are actually correct.
Definition
Precision answers the question: 'When the model says yes, how often is it right?' If a spam filter classifies 100 emails as spam and 90 of them actually are spam, its precision is 90%. High precision means few false alarms — the model is reliable when it raises a flag. A low-precision model wastes time by flagging things that turn out not to be problems. Precision is traded off against recall depending on the costs of different types of errors.
Related Terms
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Disclaimer
This definition is provided for educational and informational purposes only. It represents a general explanation of a technical concept and does not constitute professional, technical, or investment advice. Artificial intelligence is a rapidly evolving field; terminology, techniques, and capabilities change frequently. Coaley Peak Ltd makes no warranty as to the accuracy, completeness, or currency of the information provided. Nothing on this page should be relied upon as the sole basis for commercial, technical, legal, or investment decisions without independent professional advice.
Document reference: ISO_webpage_knowledge-base_glossary_v1
Last modified: 29 March 2026
Knowledge Base·Performance & Evaluation·Precision