False Negatives (FN)

Written by Evispot. Posted in f, Glossary.

Assume a data set that includes examples of a class Non-default and examples of class  Default. Assume further that you’re evaluating your model’s performance to predict examples of class Non-default.
False negatives is a field in the confusion matrix which shows the cases when the actual class of the example was Default and the predicted class for the same example was Non-default.

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