Measure to compare true observed response with predicted response in regression tasks.
Details
Kendall's tau is defined as Kendall's rank correlation coefficient between truth and response.
It is defined as stats::cor()
with method
set to "kendall"
.
Note
The score function calls mlr3measures::ktau()
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()
:
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.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.pinball
,
mlr_measures_regr.rae
,
mlr_measures_regr.rmse
,
mlr_measures_regr.rmsle
,
mlr_measures_regr.rrse
,
mlr_measures_regr.rse
,
mlr_measures_regr.sae
,
mlr_measures_regr.smape
,
mlr_measures_regr.srho
,
mlr_measures_regr.sse