rcv_rusranger: Repeated Cross Validation for rusranger

In ampel-leipzig/rusranger: Modified ranger implementation to support random-under-sampling

Repeated Cross Validation for rusranger

Description

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

Usage

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
)

ampel-leipzig/rusranger documentation built on April 28, 2022, 3:22 a.m.