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

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::rmsle() 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.rmsle")
msr("regr.rmsle")

Parameters

Empty ParamSet

Meta Information

  • Type: "regr"

  • Range: \([0, \infty)\)

  • Minimize: TRUE

  • Required prediction: response

See also