False Positive Rate
[!def] False Positive Rate (FPR)
FPR is same as the (1 - Specificity). In short,
$$
FPR = \frac{FP}{FP + TN}
$$
- False Positive Rate tells us how much of the negative data are incorrectly classified
[!def] False Positive Rate (FPR)
FPR is same as the (1 - Specificity). In short,
$$
FPR = \frac{FP}{FP + TN}
$$