Repeated Cross Validation for rusranger — rcv

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

rcv_rusranger(x, y, nfolds = 5, nrepcv = 2, ...)

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.
nrepcv: integer(1) number of repeats.
...: further arguments passed to cv_rusranger().

Value

double(5), minimal, 25 % quartiel, median, 75 % quartile and maximal AUC across the repeated cross validations.

Examples

iris <- subset(iris, Species != "setosa")
rcv_rusranger(
    iris[-5], as.numeric(iris$Species == "versicolor"),
    nfolds = 3, nrepcv = 3
)
#>         Min          Q1      Median          Q3         Max 
#> 0.000000000 0.005190311 0.010380623 0.016909061 0.023437500