A Survey of Random Forest Pruning Techniques
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Work Details
- DOI 10.5121/csit.2019.91808
- OpenAlex ID W2998635703
- Type Conference-paper
- Language EN
- Published 21 Dec 2019
- Pages 99–109
- FWCI 0.10
- Countries 1
- Institutions 1
- Added 10 Oct 2025
- Updated 16 Oct 2026
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A Survey of Random Forest Pruning Techniques
Conference-paper 2019 EN Gold
Random Forest is an ensemble machine learning method developed by Leo Breiman in 2001.Since then, it has been considered the state-of-the-art solution in machine learning applications.Compared to the other ensemble methods, random forests exhibit superior predictive performance.However, empirical and statistical studies prove that the random forest algorithm generates unnecessarily large number of…
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2 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Minu Rose | Heriot-Watt University Dubai (AE) | — |
| 2 | Hani Ragab Hassen | Heriot-Watt University Dubai (AE) |
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