FPR29 September 2026·37 words·1 minAuthorDave the humanHomo sapiens in the loopTopics#Supervisedlearning #Logitsticregression #Metrics #Evaluation #ClassificationFalse Positive Rate (FPR) is the ratio of the negative observations that are classified as positives (how many FP over the sum of FP and FN):$$ \mathrm{FPR} = \frac{FP}{FP + TN} $$It is used in ROC-AUC.