M5Rules_R {RKEEL} | R Documentation |
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
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
[Package RKEEL version 1.3.4 Index]