ANALISIS PENGGUNAAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) DAN ARTIFICIAL NEURAL NETWORK (ANN) PADA KLASIFIKASI TINGKAT OBESITAS

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Published: Apr 20, 2025
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Obesity, Accuracy, SVM, ANN
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Surya D. Kang

Abstract

This analysis aims to explore various factors contributing to obesity such as food consumption, habits, and other variables influencing obesity. The data utilized are estimates of obesity rates from Mexico, Peru, and Colombia based on their respective habits. The data is sourced from a website called Kaggle. Python programming language was employed for data processing, and analysis was conducted using Support Vector Machine (SVM) and Artificial Neural Network (ANN) algorithms. The analysis results provide a performance comparison between the two algorithms.

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Vol. 20 No. 1 (2025): Jurnal Komputer dan Informatika
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Articles
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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