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