Performance Metrics: False Negative Rate

by roelpi
December 14, 2020December 27, 2020

What is the False Negative Rate?

The False Negative Rate (Miss Rate) is a performance metric that measures the probability that your model will predict negative when the true value is positive.

It is closely related to the False Positive Rate, which is completely analogous.
The True Positive Rate and the False Negative Rate sum up to 1.
The False Negative Rate is the answer to the following question: “If the true value is positive, what share did my model predict incorrectly?”
The False Negative Rate is calculated as follows:

$\frac{FN}{FN+TP} = \frac{FN}{P} = 1 - TPR$