Binary classification measure defined as $$\frac{\mathrm{TN}}{\mathrm{FP} + \mathrm{TN}}.$$ Also know as "specificity".

## Note

The score function calls mlr3measures::specificity() from package mlr3measures.

If the measure is undefined for the input, NaN is returned. This can be customized by setting the field na_value.

## Dictionary

This Measure can be instantiated via the dictionary mlr_measures or with the associated sugar function msr():

mlr_measures\$get("specificity")
msr("specificity")

## Meta Information

• Type: "binary"

• Range: $$[0, 1]$$

• Minimize: FALSE

• Required prediction: response