LVF_IEP_FS KEEL Preprocess Algorithm

Description

LVF_IEP_FS Preprocess Algorithm from KEEL.

Usage

1
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

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
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)

#Run algorithm
algorithm$run()

#See results
algorithm$preprocessed_test

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.