Binary classification measure defined as $$ \frac{\mathrm{TP}}{\mathrm{TP} + \mathrm{FN}}. $$ Also know as "recall" or "sensitivity".

Note

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

Meta Information

  • Type: "binary"

  • Range: \([0, 1]\)

  • Minimize: FALSE

  • Required prediction: response

See also