Measure to compare true observed labels with predicted labels in binary classification tasks.
True (observed) labels. Must have the exactly same two levels and the same length as
Predicted response labels. Must have the exactly same two levels and the same length as
Name of the positive class.
Additional arguments. Currently ignored.
This measure counts the false negatives (type 2 error), i.e. the number of predictions indicating a negative class label while in fact it is positive. This is sometimes also called a "false alarm".