M5-R: M5_R KEEL Regression Algorithm

In RKEEL: Using 'KEEL' in R Code

M5_R KEEL Regression Algorithm

Description

M5_R Regression Algorithm from KEEL.

Usage

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

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

Value

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

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

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