Measure to compare true observed response with predicted response in regression tasks.

Details

The Mean Absolute Error is defined as $$\frac{1}{n} \sum_{i=1}^n w_i \left| t_i - r_i \right|.$$

Note

The score function calls mlr3measures::mae() 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("regr.mae")
msr("regr.mae")

Empty ParamSet

Meta Information

• Type: "regr"

• Range: $$[0, \infty)$$

• Minimize: TRUE

• Required prediction: response