RKEEL (version 1.3.4)

WM_R: WM_R KEEL Regression Algorithm

Description

WM_R Regression Algorithm from KEEL.

Usage

WM_R(train, test, numlabels, KB)

Value

A data.frame with the actual and predicted values for both train and test datasets.

Arguments

train

Train dataset as a data.frame object

test

Test dataset as a data.frame object

numlabels

numlabels. Default value = 5

KB

KB. Default value = FALSE

Examples

data_train <- RKEEL::loadKeelDataset("autoMPG6_train")
data_test <- RKEEL::loadKeelDataset("autoMPG6_test")

#Create algorithm
algorithm <- RKEEL::WM_R(data_train, data_test)

#Run algorithm
algorithm$run()

#See results
algorithm$testPredictions