NNEP-C: NNEP_C KEEL Classification Algorithm

In RKEEL: Using 'KEEL' in R Code

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

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

RKEEL documentation built on Sept. 15, 2023, 1:08 a.m.