CPW-C: CPW_C KEEL Classification Algorithm
In RKEEL: Using Keel in R Code

Description Usage Arguments Value Examples

CPW_C Classification Algorithm from KEEL.

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

`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

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

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