K-Nearest Neighbor with K-Fold Cross Validation and Analytic Hierarchy Process on Data Classification

International Journal of Advances in Data and Information Systems

View Publication Info
 
 
Field Value
 
Title K-Nearest Neighbor with K-Fold Cross Validation and Analytic Hierarchy Process on Data Classification
 
Creator Tembusai, Zoelkarnain Rinanda
Mawengkang, Herman
Zarlis, Muhammad
 
Subject k-Nearest Neighbor
k-Fold Cross Validation
Analytic Hierarchy Process
Machine learning
Classification
 
Description This study analyzes the performance of the k-Nearest Neighbor method with the k-Fold Cross Validation algorithm as an evaluation model and the Analytic Hierarchy Process method as feature selection for the data classification process in order to obtain the best level of accuracy and machine learning model. The best test results are in fold-3, which is getting an accuracy rate of 95%. Evaluation of the k-Nearest Neighbor model with k-Fold Cross Validation can get a good machine learning model and the Analytic Hierarchy Process as a feature selection also gets optimal results and can reduce the performance of the k-Nearest Neighbor method because it only uses features that have been selected based on the level of importance for decision making.
 
Publisher Indonesian Scientific Journal
 
Date 2021-01-11
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ijadis.org/index.php/IJADIS/article/view/k-nearest-neighbor-with-k-fold-cross-validation-and-analytic-hie
10.25008/ijadis.v2i1.1204
 
Source International Journal of Advances in Data and Information Systems; Vol. 2 No. 1 (2021): April 2021 - International Journal of Advances in Data and Information Systems; 1-8
2721-3056
 
Language eng
 
Relation http://ijadis.org/index.php/IJADIS/article/view/k-nearest-neighbor-with-k-fold-cross-validation-and-analytic-hie/18
 
Rights Copyright (c) 2021 Zoelkarnain Rinanda Tembusai, Herman Mawengkang, Muhammad Zarlis
https://creativecommons.org/licenses/by-sa/4.0
 

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