SFS_IEP_FS {RKEEL} | R Documentation |
SFS_IEP_FS KEEL Preprocess Algorithm
Description
SFS_IEP_FS Preprocess Algorithm from KEEL.
Usage
SFS_IEP_FS(train, test, threshold, seed)
Arguments
train |
Train dataset as a data.frame object |
test |
Test dataset as a data.frame object |
threshold |
threshold. Default value = 0.005 |
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::SFS_IEP_FS(data_train, data_test)
#Run algorithm
algorithm$run()
#See results
algorithm$preprocessed_test
[Package RKEEL version 1.3.4 Index]