Incr-RBFN-C: IncrRBFN_C KEEL Classification Algorithm
In RKEEL: Using Keel in R Code

Description Usage Arguments Value Examples

IncrRBFN_C Classification Algorithm from KEEL.

1	IncrRBFN_C(train, test, epsilon, alfa, delta, seed)

`train`	Train dataset as a data.frame object
`test`	Test dataset as a data.frame object
`epsilon`	epsilon. Default value = 0.1
`alfa`	alfa. Default value = 0.3
`delta`	delta. Default value = 0.5
`seed`	Seed for random numbers. If it is not assigned a value, the seed will be a random number

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::IncrRBFN_C(data_train, data_test)

#Run algorithm
algorithm$run()

#See results
algorithm$testPredictions