What is a false discovery rate (FDR) in statistical AI models?
Reviewed by Jason Burns, Editorial Steward · Last updated
The false discovery rate (FDR) is the expected proportion of false positives among all discoveries a statistical procedure flags as significant; controlling FDR is a way to manage error when testing many hypotheses at once.