Related terms
A metric that measures the proportion of correct predictions or outputs produced by a model or AI system out of all evaluated cases.
Reference-based EvaluationAn evaluation method that measures model output quality by comparing generated responses against ground-truth reference data or golden datasets.
F1 ScoreF1An evaluation metric that measures the balance between precision and recall by calculating their harmonic mean, providing a single score for classification and information retrieval performance.
CorrectnessA metric that measures whether an AI system's output is factually accurate, logically valid, and satisfies the intended task or expected result.