FRSBM_R KEEL Regression Algorithm

Description

FRSBM_R Regression Algorithm from KEEL.

Usage

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FRSBM_R(train, test, numrules, sigma, seed)

Arguments

train

Train dataset as a data.frame object

test

Test dataset as a data.frame object

numrules

numrules. Default value = 1

sigma

sigma. Default value = 0.0001

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 actual and predicted values for both train and test datasets.

Examples

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data_train <- RKEEL::loadKeelDataset("autoMPG6_train")
data_test <- RKEEL::loadKeelDataset("autoMPG6_test")

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

#Run algorithm
#algorithm$run()

#See results
#algorithm$testPredictions

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