Performance & Evaluation
Accuracy
How often an AI produces correct outputs on a given task.
Definition
Accuracy is the most intuitive measure of AI performance: out of all the predictions or responses the model produces, what proportion are correct? It is most meaningful for classification tasks (where there is a clear right or wrong answer. For language generation tasks, accuracy is harder to define) responses exist on a spectrum of quality rather than being simply correct or incorrect, which is why other metrics like human evaluation are also used.
Related Terms
Benchmark
A standardised test used to compare and measure AI model performance.
Precision
The proportion of the AI's positive predictions that are actually correct.
Recall
The proportion of actual positives that the model correctly identifies.
F1 Score
A combined measure of precision and recall, the harmonic mean of both.
More in Performance & Evaluation
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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·Accuracy