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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Главные авторы:	Rafika Aristawidya, Indahwati Indahwati, Erfiani Erfiani, Anwar Fitrianto, Muftih A. A.
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Universitas Bina Bangsa 2024-08-01
Серии:	Jurnal Lebesgue
Предметы:	diabetes, regresi logistik biner, naïve bayes classifier binary logistic regression
Online-ссылка:	https://lebesgue.lppmbinabangsa.id/index.php/home/article/view/617
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