RKEEL (version 1.3.4)

C45_C: C45_C KEEL Classification Algorithm

Description

C45_C Classification Algorithm from KEEL.

Usage

C45_C(train, test, pruned, confidence, instancesPerLeaf)

Value

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

Arguments

train

Train dataset as a data.frame object

test

Test dataset as a data.frame object

pruned

pruned. Default value = TRUE

confidence

confidence. Default value = 0.25

instancesPerLeaf

instancesPerLeaf. Default value = 2

Examples

data_train <- RKEEL::loadKeelDataset("iris_train")
data_test <- RKEEL::loadKeelDataset("iris_test")

#Create algorithm
algorithm <- RKEEL::C45_C(data_train, data_test)

#Run algorithm
algorithm$run()

#See results
algorithm$testPredictions