Type 1 Error, also known as a "false positive," occurs in hypothesis testing when a true null hypothesis is incorrectly rejected. It represents a false alarm, concluding that there is an effect or a difference when in fact there isn't.
Understanding Type 1 Error
For example, in medical testing, a Type 1 Error would occur if a test incorrectly indicates that a person has a disease when they do not. The significance level (α) in a statistical test is the probability of making a Type 1 Error.
Download this guide to delve into the most common LLM security risks and ways to mitigate them.
Lakera Guard protects your LLM applications from cybersecurity risks with a single line of code. Get started in minutes. Become stronger every day.
Several people are typing about AI/ML security. Come join us and 1000+ others in a chat that’s thoroughly SFW.