CW_C {RKEEL} | R Documentation |
CW_C KEEL Classification Algorithm
Description
CW_C Classification Algorithm from KEEL.
Usage
CW_C(train, test, beta, mu, 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 |
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::CW_C(data_train, data_test)
#Run algorithm
algorithm$run()
#See results
algorithm$testPredictions
[Package RKEEL version 1.3.4 Index]