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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Bibliographic Details

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