rcv: Repeated Cross Validation

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

Repeated Cross Validation

Description

Runs a repeated cross validation for a function. See also cv().

Usage

rcv(x, y, nfolds = 5, nrepcv = 2, FUN, ...)

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.
FUN	function function to optimize.
...	further arguments passed to FUN.

Value

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

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