Accuracy
The share of evaluated predictions judged correct.
What Accuracy does not show
It can mislead on imbalanced tasks and says nothing about the severity of errors.
Where Accuracy comes up on this site
- Our AI accuracy check ran for six days and measured nothingOnce a day CrawlCheck asks an AI model what it would tell a customer about each business it watches: the phone number, the rating, the review count, the hours.
- Four AI models, three local businesses: who got it rightThis is why one overall accuracy number misleads.
Definitions that name Accuracy
Parameter · Freshness boosting · Last-Modified · Content refresh · True negative · Excessive agency · Captions · C2PA claim
Related terms in Measurement and evaluation
How a measurement earns trust: evaluation sets, error rates, calibration, reproducibility, and the biases that make a number look better than it is.
AI answer reading · name confusion · hedged answer · Benchmark · Evaluation set · Golden dataset · Ground truth · Human evaluation · LLM-as-judge · Pairwise evaluation · Pointwise evaluation · Rubric · Inter-rater agreement · F1 score · False positive rate · False negative · True positive · True negative · Calibration · Confidence score · Coverage · Abstention · Reproducibility · Repeatability · Variance · Confidence interval · Sample size · Sampling bias · Selection bias · Survivorship bias · Data leakage · Test contamination
Questions about Accuracy
What is Accuracy?
The share of evaluated predictions judged correct.
What does Accuracy not show or guarantee?
It can mislead on imbalanced tasks and says nothing about the severity of errors.
Which area of the glossary does Accuracy belong to?
Measurement and evaluation: How a measurement earns trust: evaluation sets, error rates, calibration, reproducibility, and the biases that make a number look better than it is.
← Inter-rater agreement · F1 score →
See it in the full glossary · 772 terms across 19 areas.
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