RKEEL (version 1.3.3)

Thrift_R: Thrift_R KEEL Regression Algorithm

Description

Thrift_R Regression Algorithm from KEEL.

Usage

Thrift_R(train, test, numLabels, popSize, evaluations,
   crossProb, mutProb, seed)

Arguments

train

Train dataset as a data.frame object

test

Test dataset as a data.frame object

numLabels

numLabels. Default value = 3

popSize

popSize. Default value = 61

evaluations

evaluations. Default value = 10000

crossProb

crossProb. Default value = 0.6

mutProb

mutProb. Default value = 0.1

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

# NOT RUN {
#data_train <- RKEEL::loadKeelDataset("autoMPG6_train")
#data_test <- RKEEL::loadKeelDataset("autoMPG6_test")

#Create algorithm
#algorithm <- RKEEL::Thrift_R(data_train, data_test)
#algorithm <- RKEEL::Thrift_R(data_train, data_test, popSize = 5, evaluations = 10)

#Run algorithm
#algorithm$run()

#See results
#algorithm$testPredictions
# }