Optimizing Data Classification in Support Vector Machines Using Metaheuristic Algorithms

Optimizing Data Classification in Support Vector Machines Using Metaheuristic Algorithms

To categorize patient diagnosis data related to Chronic Kidney Disease (CKD), this study compares the classification performance of Support Vector Machines (SVM) enhanced by Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). CKD is a severe illness in which the kidneys fail to adequately...

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Bibliographic Details
Main Authors: Qonita Ilmi Awalin, Ika Hesti Agustin, Alfian Futuhul Hadi, Dafik Dafik, R. Sunder
Format: Article
Language:English
Published: Mathematics Department UIN Maulana Malik Ibrahim Malang 2024-11-01
Series:Cauchy: Jurnal Matematika Murni dan Aplikasi
Subjects:
chronic kidney disease
classification
svm-pso
svm-ga
Online Access:https://ejournal.uin-malang.ac.id/index.php/Math/article/view/29320
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https://ejournal.uin-malang.ac.id/index.php/Math/article/view/29320

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