RKEEL (version 1.3.4)

Logistic_C: Logistic_C KEEL Classification Algorithm

Description

Logistic_C Classification Algorithm from KEEL.

Usage

Logistic_C(train, test, ridge, maxIter)

Value

A data.frame with the actual and predicted classes for both train and test datasets.

Arguments

train

Train dataset as a data.frame object

test

Test dataset as a data.frame object

ridge

ridge. Default value = 1e-8

maxIter

maxIter. Default value = -1

Examples

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

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

#Run algorithm
algorithm$run()

#See results
algorithm$testPredictions