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All Journal JIK- JURNAL ILMU KESEHATAN MDP Student Conference Jurnal Riset & Teknologi Terapan Kemaritiman
Naufal, Daffa Ahmad
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Health Professions Mechanical Engineering Nursing Public Health Transportation

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Journal : MDP Student Conference

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Klasifikasi Multikelas Support Vector Machine dengan Hibrida Directed Acyclic Graph One Vs One dan Rest Vs Rest pada Klasifikasi Tingkat Obesitas Naufal, Daffa Ahmad; Nadeak, Christyan Tamaro; Rassiyanti, Linda; Farid, Fajri
MDP Student Conference Vol 5 No 2 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i2.14097

Abstract

This research is focused on analyzing how well different multiclass Support Vector Machine (SVM) classification methods can predict obesity levels. It also presents a new hybrid Directed Acyclic Graph Rest-vs-Rest (DAG-RvR) method as a better option. The study utilizes a dataset called the Obesity Risk Prediction Cleaned, which has information on seven different obesity categories. The methods being assessed include One-vs-One (OvO), One-vs-Rest (OvR), DAG-One-vs-One (DAG-OvO), and the new DAG-RvR method. For fine-tuning the parameters, GridSearchCV and the RBF kernel were used. The findings reveal that DAG-RvR achieves an accuracy of 0.91, which is similar to OvO and DAG-OvO, but it trains much quicker, taking just 0.3422 seconds. Even though its precision, recall, and F1-score are a bit lower than the pairwise methods, DAG-RvR still maintains reliable multiclass performance. In summary, this method strikes a good balance between achieving high accuracy and being efficient in computations.
Co-Authors Alamsyah Arifuddin, Andi Mursid Nugraha Bancin, Sutomo Baratau, Irentya Anugra Christyan Tamaro Nadeak Dwiyanti, Diva Syahirah Farid, Fajri Fitri, Ade Ida Rahmah Burhan Lumbantoruan, Hendra Eliakim M. Uswah Pawara Nuzulia Irawati Rassiyanti, Linda Siagian, Firman Veryvicasi Vernando Simatupang, Gusrawati, Sander V S Suardi Suardi Syadzali, Abdul Mujib