RKEEL (version 1.3.3)

CFKNN_C: CFKNN_C KEEL Classification Algorithm

Description

CFKNN_C Classification Algorithm from KEEL.

Usage

CFKNN_C(train, test, k, alpha, seed)

Arguments

train

Train dataset as a data.frame object

test

Test dataset as a data.frame object

k

k. Default value = 3

alpha

alpha. Default value = 0.6

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::CFKNN_C(data_train, data_test)

#Run algorithm
#algorithm$run()

#See results
#algorithm$testPredictions
# }