RKEEL (version 1.3.4)

RBFN_R: RBFN_R KEEL Regression Algorithm

Description

RBFN_R Regression Algorithm from KEEL.

Usage

RBFN_R(train, test, neurons, seed)

Value

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

Arguments

train

Train dataset as a data.frame object

test

Test dataset as a data.frame object

neurons

neurons. Default value = 50

seed

Seed for random numbers. If it is not assigned a value, the seed will be a random number

Examples

data_train <- RKEEL::loadKeelDataset("autoMPG6_train")
data_test <- RKEEL::loadKeelDataset("autoMPG6_test")

#Create algorithm
algorithm <- RKEEL::RBFN_R(data_train, data_test)

#Run algorithm
algorithm$run()

#See results
algorithm$testPredictions