FRSBM-R: FRSBM_R KEEL Regression Algorithm
In RKEEL: Using Keel in R Code

Description Usage Arguments Value Examples

FRSBM_R Regression Algorithm from KEEL.

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

`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

A data.frame with the actual and predicted values for both train and test datasets.

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