False Negative Error Rate
A False Negative Error Rate is a classification performance measure that is based on the probability that a predictive relation will make the incorrect prediction of mapping a false test instance to a negative prediction.
- AKA: FNR, Type 2 Error Rate.
- The likelihood that a patient with cancer will be told that they do not have it.
- See: Confusion Matrix
- (Wikipedia, 2015) ⇒ http://en.wikipedia.org/wiki/False_positives_and_false_negatives#false_negative_rate Retrieved:2015-7-19.
- Complementarily, the Template:Visible anchor is the proportion of events that are being tested for which yield negative test outcomes with the test, i.e., the conditional probability of a negative test result given that the event being looked for has taken place.