True Positive Rate (TPR), also known as sensitivity or recall, is a metric used in statistics and machine learning to measure the proportion of actual positives that are correctly identified by a model. It's crucial in evaluating the performance of classification algorithms.
Understanding True Positive Rate
TPR is calculated as the number of true positives divided by the sum of true positives and false negatives. For example, in medical testing, TPR indicates how many sick individuals are correctly identified as sick by the test.
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.