Journal of Information System Exploration and Research
Vol. 2 No. 2 (2024): July 2024

The Influence of Determining the K-Value on Improving the Diabetes Classification Model using the K-NN Algorithm

Korina, Nanda Putri (Unknown)
Prasetiyo, Budi (Unknown)
Hakim, Ade Anggian (Unknown)
Septian, M Rivaldi Ali (Unknown)

Article Info

Publish Date
27 Jul 2024

Abstract

Diabetes mellitus is still an important health problem globally, so it requires an efficient classification model to help determine a patient's diagnosis. This study aims to determine the K-value on the accuracy performance of the diabetes classification model using the K-Nearest Neighbors (K-NN) algorithm. This research utilizes a simulated dataset generated through interaction with ChatGPT, we investigate various K-values ​​in the K-NN model and assess its accuracy using a confusion matrix. Based on experiments, we found that the K-NN classification model with a K=6 obtained an optimal accuracy of 97.62%. Thus, our findings highlight the important role of selecting optimal K-values ​​in improving the performance of diabetes classification models.

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Journal Info
Journal of Information System Exploration and Research
Website

Abbrev

joiser

Publisher

shm publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Engineering

Description

Journal of Information System Exploration and Research (JOISER) (e-ISSN: 2963-6361, p-ISSN: 2964-1160) is a journal that publishes and disseminates scientific research papers on information systems to a wide audience, particularly within the information system society. Articles devoted to discussing ...