Precision and Recall

goML
Precision measures true positives over all predicted positives; recall measures true positives over all actual positives in classification.
ChatGPT Definition (GPT-4o)
Metrics for evaluating classification: precision measures correctness of positive predictions, recall measures how many actual positives were identified.
Gemini (2.0)
Precision is the proportion of true positives among predicted positives, while recall is the proportion of true positives among actual positives.
Claude (3.7)
Evaluation metrics measuring positive prediction accuracy (precision) and ability to find all relevant instances (recall).

Read Our Content

See All Blogs
Gen AI

AI agent evaluation for self-improving agent loops

Sarankumar S

August 21, 2026
Read more
LLM Models

Claude watermarking and what it means for enterprise AI teams

Sarankumar S

August 20, 2026
Read more