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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書誌詳細

主要な著者:	Muhammad Kunta Biddinika, Herman Yuliansyah, Dewi Soyusiawaty, Farhan Radhiansyah Razak
フォーマット:	Artigo
言語:	Inglês
出版事項:	Universitas Gadjah Mada 2025-04-01
シリーズ:	IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
主題:	obesity smote rus rbf linear
オンライン･アクセス:	https://jurnal.ugm.ac.id/ijccs/article/view/103994
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