The Support Vector Regression Method Performance Analysis in Predicting National Staple Commodity Prices

Support Vector Regression (SVR) is a supervised learning algorithm to predict continuous variable values. The basic goal of the SVR algorithm is to find the most suitable decision line. SVR has been successfully applied to several issues in time series prediction. In this research, SVR is used to pr...

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Detalhes bibliográficos
Principais autores: Huzain Azis, Purnawansyah Purnawansyah, Nirwana Nirwana, Felix Andika Dwiyanto
Formato: Artigo
Idioma:English
Publicado em: Fakultas Ilmu Komputer UMI 2023-08-01
coleção:Ilkom Jurnal Ilmiah
Assuntos:
Acesso em linha:https://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/1686