Comparison of Filter and Wrapper Feature Selection Methods for Heart Disease Risk Classification using K-Nearest Neighbors (k-NN)

Feature selection plays a crucial role in improving the effectiveness of medical classification models. This study compares two feature selection approaches—filter and wrapper methods—in developing a k-Nearest Neighbors (k-NN) model for heart disease risk classification. The dataset consists of pati...

Descripció completa

Dades bibliogràfiques

Autors principals:	Deni Kuswandani, Herman Herman, Rusydi Umar
Format:	Artigo
Idioma:	Indonésio
Publicat:	Islamic University of Indragiri 2026-03-01
Col·lecció:	Sistemasi: Jurnal Sistem Informasi
Matèries:	feature selection filter method heart disease classification k-nearest neighbors (k-nn) wrapper method
Accés en línia:	https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/5989
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!