RKEEL (version 1.3.4)

MinMax_TR: MinMax_TR KEEL Preprocess Algorithm

Description

MinMax_TR Preprocess Algorithm from KEEL.

Usage

MinMax_TR(train, test, newMin, newMax)

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

newMin

newMin. Default value = 0.0

newMax

newMax. Default value = 1.0

Examples

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

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

#Run algorithm
algorithm$run()

#See results
algorithm$preprocessed_test