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randomMachines

An Ensemble Modeling using Random Machines

v0.1.1 · Jul 23, 2025 · MIT + file LICENSE

Description

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>.

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Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies kernlab randomMachines

Version History

new 0.1.1 Mar 10, 2026
updated 0.1.1 ← 0.1.0 diff Jul 22, 2025
new 0.1.0 Dec 13, 2023