IncrRBFN_C KEEL Classification Algorithm

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Description

IncrRBFN_C Classification Algorithm from KEEL.

Usage

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

Arguments

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

Value

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

Examples

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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

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