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

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("tnr")
msr("tnr")

Meta Information

  • Type: "binary"

  • Range: \([0, 1]\)

  • Minimize: FALSE

  • Required prediction: response

See also