mlr_measures_regr.bias: Bias

Description Dictionary Meta Information Note See Also

Description

Regression measure defined as

mean(t - r).

Good predictions score close to 0.

Dictionary

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

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mlr_measures$get("bias")
msr("bias")

Meta Information

Note

The score function calls mlr3measures::bias() 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.ktau, mlr_measures_regr.mae, mlr_measures_regr.mape, mlr_measures_regr.maxae, mlr_measures_regr.medae, mlr_measures_regr.medse, 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 Aug. 6, 2021, 1:07 a.m.