RKEEL (version 1.3.4)

Relief_FS: Relief_FS KEEL Preprocess Algorithm

Description

Relief_FS Preprocess Algorithm from KEEL.

Usage

Relief_FS(train, test, paramKNN, relevanceThreshold,
   numInstancesSampled, seed)

Value

A data.frame with the preprocessed data for both train and test datasets.

Arguments

train

Train dataset as a data.frame object

test

Test dataset as a data.frame object

paramKNN

paramKNN. Default value = 1

relevanceThreshold

relevanceThreshold. Default value = 0.20

numInstancesSampled

numInstancesSampled. Default value = 1000

seed

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

Examples

data_train <- RKEEL::loadKeelDataset("car_train")
data_test <- RKEEL::loadKeelDataset("car_test")

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

#Run algorithm
algorithm$run()

#See results
algorithm$preprocessed_test