Binary classification measure defined as $$ \frac{\mathrm{FP}}{\mathrm{FP} + \mathrm{TN}}. $$ Also know as fall out or probability of false alarm.

Note

The score function calls mlr3measures::fpr() 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("fpr")
msr("fpr")

Meta Information

  • Type: "binary"

  • Range: \([0, 1]\)

  • Minimize: TRUE

  • Required prediction: response

See also