mlr3 (version 0.1.6)

mlr_measures_regr.ktau: Kendall's tau

Description

Regression measure defined as Kendall's rank correlation coefficient between truth and response. Calls stats::cor() with method set to "kendall".

Format

R6::R6Class() inheriting from Measure.

Construction

This measures can be retrieved from the dictionary mlr_measures:

mlr_measures$get("classif.ktau")
msr("classif.ktau")

Meta Information

• Type: "regr"

• Range: \([-1, 1]\)

• Minimize: FALSE

• Required prediction: response

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.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