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...
| Автори: | , , , |
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| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Fakultas Ilmu Komputer UMI
2023-08-01
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| Серія: | Ilkom Jurnal Ilmiah |
| Предмети: | |
| Онлайн доступ: | https://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/1686 |