Cookie Consent
Hi, this website uses essential cookies to ensure its proper operation and tracking cookies to understand how you interact with it. The latter will be set only after consent.
Read our Privacy Policy

ROC (Receiver Operating Characteristic) Curve

ROC Curve is a graphical plot used to evaluate the performance of a binary classification system. It plots the True Positive Rate (TPR) against the False Positive Rate (FPR) at various threshold settings.

Understanding the ROC Curve

The area under the ROC curve (AUC) is a measure of how well a parameter can distinguish between two diagnostic groups (diseased/normal). A higher AUC represents better performance. The ROC curve is widely used in medical decision making, radiology, and other areas.

Lakera LLM Security Playbook
Learn how to protect against the most common LLM vulnerabilities

Download this guide to delve into the most common LLM security risks and ways to mitigate them.

Related terms
untouchable mode.
Get started for free.

Lakera Guard protects your LLM applications from cybersecurity risks with a single line of code. Get started in minutes. Become stronger every day.

Join our Slack Community.

Several people are typing about AI/ML security. 
Come join us and 1000+ others in a chat that’s thoroughly SFW.