randomMachines: An Ensemble Modeling using Random Machines (original) (raw)
A novel ensemble method employing Support Vector Machines (SVMs) as base learners. This powerful ensemble model is designed for both classification (Ara A., et. al, 2021) <doi:10.6339/21-JDS1014>, and regression (Ara A., et. al, 2021) <doi:10.1016/j.eswa.2022.117107> problems, offering versatility and robust performance across different datasets and compared with other consolidated methods as Random Forests (Maia M, et. al, 2021) <doi:10.6339/21-JDS1025>.
Version: | 0.1.0 |
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Depends: | R (≥ 2.10) |
Imports: | kernlab, methods, stats |
Published: | 2023-12-14 |
DOI: | 10.32614/CRAN.package.randomMachines |
Author: | Mateus Maia [aut, cre], Anderson Ara [cte], Gabriel Ribeiro [cte] |
Maintainer: | Mateus Maia <mateus.maiamarques.2021 at mumail.ie> |
License: | MIT + file |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | randomMachines results |
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