Ensemble of optimal trees, random forest and random projecti…
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- DOI 10.1007/s11634-019-00364-9
- OpenAlex ID W2953079191
- Type Article
- Language EN
- Published 12 Jun 2019
- Volume 14 (1)
- Pages 97–116
- Source Advances in Data Analysis and Classifica…
- Publisher Springer Science+Business Media
- FWCI 7.47
- Countries 5
- Institutions 7
- Added 10 Oct 2025
- Updated 07 Oct 2026
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Ensemble of optimal trees, random forest and random projection ensemble classification
Article 2019 EN Hybrid
The predictive performance of a random forest ensemble is highly associated with the strength of individual trees and their diversity. Ensemble of a small number of accurate and diverse trees, if prediction accuracy is not compromised, will also reduce computational burden. We investigate the idea of integrating trees that are accurate and diverse. For this purpose, we utilize out-of-bag observati…
96
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37
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7
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7.47
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Authors & Affiliations
7 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Zardad Khan Corresponding | University of Essex (GB) Abdul Wali Khan University Mar… (PK) | |
| 2 | Asma Gul | University of Essex (GB) Shaheed Benazir Bhutto Women U… (PK) | |
| 3 | Aris Perperoglou | University of Essex (GB) | |
| 4 | Miftahuddin Miftahuddin | University of Essex (GB) Universitas Syiah Kuala (ID) | |
| 5 | Osama Mahmoud | University of Essex (GB) University of Bristol (GB) +1 | |
| 6 | Werner Adler | Friedrich-Alexander-Universitä… (DE) | |
| 7 | Berthold Lausen Corresponding | University of Essex (GB) |
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