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