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
AWS

New AWS enterprise generative AI tools: AgentCore, Nova Act, and Strands SDK

Deveshi Dabbawala

August 12, 2025
Read more
ML

The evolution of machine learning in 2025

Siddharth Menon

August 8, 2025
Read more