Regression measure defined as Kendall's rank correlation coefficient between truth and response.
Calls stats::cor() with method set to "kendall".
Usage
ktau(truth, response, ...)
Arguments
truth
(numeric())
True (observed) values.
Must have the same length as response.
response
(numeric())
Predicted response values.
Must have the same length as truth.
...
(any)
Additional arguments. Currently ignored.
Value
Performance value as numeric(1).
Meta Information
Type: "regr"
Range: \([-1, 1]\)
Minimize: FALSE
Required prediction: response
References
Rosset S, Perlich C, Zadrozny B (2006).
“Ranking-based evaluation of regression models.”
Knowledge and Information Systems, 12(3), 331--353.
10.1007/s10115-006-0037-3.