mlr_measures_regr.medse: Median Squared Error

mlr_measures_regr.medseR Documentation

Median Squared Error

Description

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

Details

The Median Squared Error is defined as

\mathop{\mathrm{median}}_i \left[ \left( t_i - r_i \right)^2 \right].

Dictionary

This Measure can be instantiated via the dictionary mlr_measures or with the associated sugar function msr():

mlr_measures$get("regr.medse")
msr("regr.medse")

Parameters

Empty ParamSet

Meta Information

  • Type: "regr"

  • Range: [0, \infty)

  • Minimize: TRUE

  • Required prediction: response

Note

The score function calls mlr3measures::medse() from package mlr3measures.

If the measure is undefined for the input, NaN is returned. This can be customized by setting the field na_value.

See Also

Dictionary of Measures: mlr_measures

as.data.table(mlr_measures) for a complete table of all (also dynamically created) Measure implementations.

Other regression measures: mlr_measures_regr.bias, mlr_measures_regr.ktau, mlr_measures_regr.mae, mlr_measures_regr.mape, mlr_measures_regr.maxae, mlr_measures_regr.medae, mlr_measures_regr.mse, mlr_measures_regr.msle, mlr_measures_regr.pbias, mlr_measures_regr.rae, mlr_measures_regr.rmse, mlr_measures_regr.rmsle, mlr_measures_regr.rrse, mlr_measures_regr.rse, mlr_measures_regr.rsq, mlr_measures_regr.sae, mlr_measures_regr.smape, mlr_measures_regr.srho, mlr_measures_regr.sse


mlr3 documentation built on Nov. 17, 2023, 5:07 p.m.