LVF-IEP-FS: LVF_IEP_FS KEEL Preprocess Algorithm

In RKEEL: Using 'KEEL' in R Code

LVF_IEP_FS KEEL Preprocess Algorithm

Description

LVF_IEP_FS Preprocess Algorithm from KEEL.

Usage

LVF_IEP_FS(train, test, paramKNN, maxLoops, inconAllow, seed)

Arguments

train	Train dataset as a data.frame object
test	Test dataset as a data.frame object
paramKNN	paramKNN. Default value = 1
maxLoops	maxLoops. Default value = 770
inconAllow	inconAllow. Default value = 0
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 preprocessed data for both train and test datasets.

Examples

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

#Create algorithm
algorithm <- RKEEL::LVF_IEP_FS(data_train, data_test)
algorithm <- RKEEL::LVF_IEP_FS(data_train, data_test, maxLoops = 30, 
  inconAllow=2)

#Run algorithm
algorithm$run()

#See results
algorithm$preprocessed_test

RKEEL documentation built on Sept. 15, 2023, 1:08 a.m.