SMOTE-SVM for Handling Imbalanced Data in Obesity Classification

Obesity is a significant health issue associated with various chronic diseases, making its early classification critical for effective interventions. This study investigates the performance of Support Vector Machine (SVM) models with Radial Basis Function (RBF) and Linear kernels on imbalanced obesi...

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Bibliografiska uppgifter
Huvudupphovsmän: Muhammad Kunta Biddinika, Herman Yuliansyah, Dewi Soyusiawaty, Farhan Radhiansyah Razak
Materialtyp: Artigo
Språk:Inglês
Publicerad: Universitas Gadjah Mada 2025-04-01
Serie:IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
Ämnen:
obesity
smote
rus
rbf
linear
Länkar:https://jurnal.ugm.ac.id/ijccs/article/view/103994
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