RKEEL (version 1.3.3)

M5Rules_R: M5Rules_R KEEL Regression Algorithm

Description

M5Rules_R Regression Algorithm from KEEL.

Usage

M5Rules_R(train, test, pruningFactor, heuristic)

Arguments

train

Train dataset as a data.frame object

test

Test dataset as a data.frame object

pruningFactor

pruningFactor. Default value = 2

heuristic

heuristic. Default value = "Coverage"

Value

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

Examples

# NOT RUN {
#data_train <- RKEEL::loadKeelDataset("autoMPG6_train")
#data_test <- RKEEL::loadKeelDataset("autoMPG6_test")

#Create algorithm
#algorithm <- RKEEL::M5Rules_R(data_train, data_test)

#Run algorithm
#algorithm$run()

#See results
#algorithm$testPredictions
# }