RKEEL (version 1.3.4)

M5_R: M5_R KEEL Regression Algorithm

Description

M5_R Regression Algorithm from KEEL.

Usage

M5_R(train, test, type, pruningFactor, unsmoothed)

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

type

type. Default value = "m"

pruningFactor

pruningFactor. Default value = 2

unsmoothed

unsmoothed. Default value = TRUE

Examples

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

#Create algorithm
algorithm <- RKEEL::M5_R(data_train, data_test)

#Run algorithm
algorithm$run()

#See results
algorithm$testPredictions