RKEEL (version 1.3.4)

SaturationFilter_F: SaturationFilter_F KEEL Preprocess Algorithm

Description

SaturationFilter_F Preprocess Algorithm from KEEL.

Usage

SaturationFilter_F(train, test, 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

seed

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

Examples

# \donttest{
data_train <- RKEEL::loadKeelDataset("car_train")
data_test <- RKEEL::loadKeelDataset("car_test")

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

#Run algorithm
algorithm$run()

#See results
algorithm$preprocessed_test
# }