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

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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Bibliographic Details
Main Authors: FARDILLA RAHMAWATI, KHAIRIL ANWAR NOTODIPUTRO, KUSMAN SADIK
Format: Article
Language:English
Published: Universitas Syiah Kuala, Faculty of Mathematics and Natural Science 2023-10-01
Series:Jurnal Natural
Subjects:
fixed effects
household per capita expenditure
machine learning
random effects
supervised learning
Online Access:https://jurnal.usk.ac.id/natural/article/view/33079

Internet

https://jurnal.usk.ac.id/natural/article/view/33079

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