Runs a cross validation for rusranger().
The cross validation optimises the AUC.
cv_rusranger(x, y, nfolds = 5, ...)matrix/data.frame, feature matrix, see ranger() for
details.
numeric/factor, classification labels, see ranger() for
details.
integer(1) number of cross validation folds.
further arguments passed to rusranger().
double(1) median AUC across all cross validation splits