runCV: Run Cross-Validation

In RKEEL: Using 'KEEL' in R Code

Run Cross-Validation

Description

Run a cross-validation experiment

Usage

runCV(algorithm, dataset, numFolds, cores)

Arguments

algorithm	Algorithm to be executed in the CV. It must has the parameters to be used in the executions.
dataset	Dataset to perform the CV. It is divided in numFolds disjoint partitions and in each iteration, one is used for test and the rest for train.
numFolds	Number of folds for the cross-validation procedure.
cores	Number of cores to execute in parallel. If it is missed, default value is 1 (sequential execution).

Value

Returns a list with the mean results of the numFolds executions.

Examples

#Load datasets
iris <- RKEEL::loadKeelDataset("iris")

#Create algorithm
learner_C45_C <- RKEEL::C45_C(iris, iris)

#Perform 5-folds CV
results <- RKEEL::runCV(learner_C45_C, iris, 5)

RKEEL documentation built on Sept. 15, 2023, 1:08 a.m.