Glossary term
Glossary term
Foundations
An example in which the model mistakenly predicts the positive class. For example, the model predicts that a particular email message is spam (the positive class), but that email message is actually not spam.
See Thresholds and the confusion matrix in Machine Learning Crash Course for more information.
Created for this library
A fraud team monitors false positives on its declines to keep customer friction low while still blocking real fraud.
An email security team tracks false positives on its phishing detector so legitimate business mail does not end up in quarantine.
A medical screening team reports false positives weekly because they drive unnecessary follow-up tests and patient anxiety.
Definition source: Google for Developers Machine Learning Glossary | Creative Commons Attribution 4.0 License