Slipper_C {RKEEL}

Slipper_C KEEL Classification Algorithm

Description

Slipper_C Classification Algorithm from KEEL.

Usage

Slipper_C(train, test, grow_pct, numBoosting, 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

numBoosting

numBoosting. Default value = 100

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

data_train <- RKEEL::loadKeelDataset("iris_train")
data_test <- RKEEL::loadKeelDataset("iris_test")

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

#Run algorithm
algorithm$run()

#See results
algorithm$testPredictions