Incr-RBFN-C: IncrRBFN_C KEEL Classification Algorithm

In RKEEL: Using Keel in R Code

Description

IncrRBFN_C Classification Algorithm from KEEL.

Usage

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

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

RKEEL documentation built on May 29, 2017, 7:18 p.m.

Ignore_MV KEEL Preprocess Algorithm

RKEEL index

Is Multi-class