randomMachines
An Ensemble Modeling using Random Machines
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | randomMachines_0.1.1.tar.gz |
288.6 KiB |
0.1.1 |
rolling linux/noble R-4.5 | randomMachines_0.1.1.tar.gz |
288.3 KiB |
0.1.1 |
rolling source/ R- | randomMachines_0.1.1.tar.gz |
196.3 KiB |
0.1.1 |
latest linux/jammy R-4.5 | randomMachines_0.1.1.tar.gz |
288.6 KiB |
0.1.1 |
latest linux/noble R-4.5 | randomMachines_0.1.1.tar.gz |
288.3 KiB |
0.1.1 |
latest source/ R- | randomMachines_0.1.1.tar.gz |
196.3 KiB |
0.1.1 |
2026-04-26 source/ R- | randomMachines_0.1.1.tar.gz |
196.3 KiB |
0.1.1 |
2026-04-23 source/ R- | randomMachines_0.1.1.tar.gz |
196.3 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | randomMachines_0.1.1.zip |
292.1 KiB |
0.1.0 |
2025-04-20 source/ R- | randomMachines_0.1.0.tar.gz |
195.3 KiB |