RKEEL (version 1.3.3)

Ripper_C: Ripper_C KEEL Classification Algorithm

Description

Ripper_C Classification Algorithm from KEEL.

Usage

Ripper_C(train, test, grow_pct, k, seed)

Arguments

train

Train dataset as a data.frame object

test

Test dataset as a data.frame object

grow_pct

grow_pct. Default value = 0.66

k

k. Default value = 2

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 classes for both train and test datasets.

Examples

# NOT RUN {
#data_train <- RKEEL::loadKeelDataset("iris_train")
#data_test <- RKEEL::loadKeelDataset("iris_test")

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

#Run algorithm
#algorithm$run()

#See results
#algorithm$testPredictions
# }