IF_KNN-C: IF_KNN_C KEEL Classification Algorithm

In RKEEL: Using 'KEEL' in R Code

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.