Regression measure defined as $$\frac{1}{n} \sum_{i=1}^n w_i \left( \ln (1 + t_i) - \ln (1 + r_i) \right)^2.$$

## Details

This measure is undefined if any element of $$t$$ or $$r$$ is less than or equal to $$-1$$.

## Note

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

Empty ParamSet

## Meta Information

• Type: "regr"

• Range: $$[0, \infty)$$

• Minimize: TRUE

• Required prediction: response