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

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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Dades bibliogràfiques
Autors principals: Huzain Azis, Purnawansyah Purnawansyah, Nirwana Nirwana, Felix Andika Dwiyanto
Format: Article
Idioma:English
Publicat: Fakultas Ilmu Komputer UMI 2023-08-01
Col·lecció:Ilkom Jurnal Ilmiah
Matèries:
food prices
machine learning
predictions
support vector regression.
Accés en línia:https://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/1686

Internet

https://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/1686

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