IF_KNN-C: IF_KNN_C KEEL Classification Algorithm

IF_KNN_CR Documentation

IF_KNN_C KEEL Classification Algorithm

Description

IF_KNN_C Classification Algorithm from KEEL.

Usage

IF_KNN_C(train, test, K, mA, vA, mR, vR, k)

Arguments

train

Train dataset as a data.frame object

test

Test dataset as a data.frame object

K

K. Default value = 3

mA

mA. Default value = 0.6

vA

vA. Default value = 0.4

mR

mR. Default value = 0.3

vR

vR. Default value = 0.7

k

k. Default value = 5

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::IF_KNN_C(data_train, data_test)

#Run algorithm
algorithm$run()

#See results
algorithm$testPredictions

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

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