Runs a cross validation for rusranger(). The cross validation optimises the AUC.

cv_rusranger(x, y, nfolds = 5, ...)

Arguments

x

matrix/data.frame, feature matrix, see ranger() for details.

y

numeric/factor, classification labels, see ranger() for details.

nfolds

integer(1) number of cross validation folds.

...

further arguments passed to rusranger().

Value

double(1) median AUC across all cross validation splits