CPW-C: CPW_C KEEL Classification Algorithm

In RKEEL: Using Keel in R Code

Description

CPW_C Classification Algorithm from KEEL.

Usage

CPW_C(train, test, beta, mu, ro, epsilon)

Arguments

train	Train dataset as a data.frame object
test	Test dataset as a data.frame object
beta	beta. Default value = 8.0
mu	mu. Default value = 0.001
ro	ro. Default value = 0.001
epsilon	epsilon. Default value = 0.001

Value

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

Examples

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

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

#Run algorithm
algorithm$run()

#See results
algorithm$testPredictions

RKEEL documentation built on Aug. 10, 2017, 5:05 p.m.