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PERBANDINGAN ANALISIS REGRESI LOGISTIK BINER DAN NAÏVE BAYES CLASSIFIER UNTUK MEMPREDIKSI FAKTOR RESIKO DIABETES

Diabetes is a global health problem that is increasing in prevalence worldwide. This study compares the performance of two data analysis methods, namely binary logistic regression and naïve bayes classifier in predicting diabetes risk. This study aims to identify factors that significantly affect di...

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Main Authors: Rafika Aristawidya, Indahwati Indahwati, Erfiani Erfiani, Anwar Fitrianto, Muftih A. A.
Format: Artigo
Language:Inglês
Published: Universitas Bina Bangsa 2024-08-01
Series:Jurnal Lebesgue
Subjects:
diabetes, regresi logistik biner, naïve bayes classifier
binary logistic regression
Online Access:https://lebesgue.lppmbinabangsa.id/index.php/home/article/view/617
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