Related terms
A classification metric measuring the proportion of predicted positive cases that are actually positive.
RecallA performance metric that measures the proportion of actual positive instances correctly identified by a model.
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.
Success RateThe proportion of attempted tasks or requests that an AI agent or system completes successfully.