Classification of household poverty in West Java using the generalized mixed-effects trees model

Dealing with fixed effects and random effects can be accomplished by combining statistical modeling and machine learning techniques. This paper discusses the modeling of fixed effects and random effects using a statistical machine-learning approach. We used the generalized mixed-effects trees (GMET)...

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Autores principales:	FARDILLA RAHMAWATI, KHAIRIL ANWAR NOTODIPUTRO, KUSMAN SADIK
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Universitas Syiah Kuala, Faculty of Mathematics and Natural Science 2023-10-01
Colección:	Jurnal Natural
Materias:	fixed effects household per capita expenditure machine learning random effects supervised learning
Acceso en línea:	https://jurnal.usk.ac.id/natural/article/view/33079
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