RKEEL (version 1.3.4)

Bayesian_D: Bayesian_D KEEL Preprocess Algorithm

Description

Bayesian_D Preprocess Algorithm from KEEL.

Usage

Bayesian_D(train, test)

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

Examples

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

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

#Run algorithm
algorithm$run()

#See results
algorithm$preprocessed_test