RKEEL (version 1.3.4)

PW_C: PW_C KEEL Classification Algorithm

Description

PW_C Classification Algorithm from KEEL.

Usage

PW_C(train, test, beta, ro, epsilon)

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

beta

beta. Default value = 8.0

ro

ro. Default value = 0.001

epsilon

epsilon. Default value = 0.001

Examples

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

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

#Run algorithm
algorithm$run()

#See results
algorithm$testPredictions