false negative rate
The proportion of actual positive examples for which the model mistakenly predicted the negative class.
Plain English Explanation
The proportion of actual positive examples for which the model mistakenly predicted the negative class. The following formula calculates the false negative rate:
See Thresholds and the confusion matrix in Machine Learning Crash Course for more information.
How is it used?
Practitioners refer to false negative rate when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.