RKEEL (version 1.3.3)

NNEP_C: NNEP_C KEEL Classification Algorithm

Description

NNEP_C Classification Algorithm from KEEL.

Usage

NNEP_C(train, test, hidden_nodes, transfer, generations, seed)

Arguments

train

Train dataset as a data.frame object

test

Test dataset as a data.frame object

hidden_nodes

hidden_nodes. Default value = 4

transfer

transfer. Default value = "Product_Unit"

generations

generations. Default value = 200

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::NNEP_C(data_train, data_test)
#algorithm <- RKEEL::NNEP_C(data_train, data_test, generations = 5)

#Run algorithm
#algorithm$run()

#See results
#algorithm$testPredictions
# }