Deeps-C: Deeps_C KEEL Classification Algorithm

In RKEEL: Using Keel in R Code

Description

Deeps_C Classification Algorithm from KEEL.

Usage

Deeps_C(train, test, beta)

Arguments

train	Train dataset as a data.frame object
test	Test dataset as a data.frame object
beta	beta. Default value = 0.12

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::Deeps_C(data_train, data_test)

#Run algorithm
algorithm$run()

#See results
algorithm$testPredictions

RKEEL documentation built on Aug. 10, 2017, 5:05 p.m.