Measure to compare true observed labels with predicted labels in binary classification tasks.

## Details

The True Negative Rate is defined as $$\frac{\mathrm{TN}}{\mathrm{FP} + \mathrm{TN}}.$$ Also know as "specificity".

This measure is undefined if FP + TN = 0.

## Note

The score function calls mlr3measures::tnr() 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("classif.tnr")
msr("classif.tnr")

Empty ParamSet

## Meta Information

• Type: "binary"

• Range: $$[0, 1]$$

• Minimize: FALSE

• Required prediction: response