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Ourbit AI Dictionary
Responsible AI
Accuracy
Plain-language meaning
In classification, the proportion of predictions that are correct across all tested cases.
Why it matters
It is useful only when the test set and consequences of errors are understood.
Practical example
A classifier gets 90 of 100 labelled cases right, giving 90% accuracy.
Common misunderstanding
Using accuracy alone when rare but important cases are routinely missed.
Related concepts
Precision · Recall · Evaluation
Learn and practise
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References
Reviewed 2026-10-02.
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