Effective Learning and Classification using Random Forest Al…
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- OpenAlex ID W2188759683
- Type Article
- Language EN
- Published 01 Jun 2014
- Source University
- FWCI 4.66
- Added 10 Oct 2025
- Updated 22 Sep 2026
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Effective Learning and Classification using Random Forest Algorithm
Article 2014 EN
Random Forest is a supervised machine learning algorithm. In Data Mining domain, machine learning algorithms are extensively used to analyze data, and generate predictions based on this data. Being an ensemble algorithm, Random Forest generates multiple decision trees as base classifiers and applies majority voting to combine the outcomes of the base trees. Strength of individual decision trees an…
46
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17
References
2
Authors
4.66
FWCI
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2 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Vrushali Y. Kulkarni | — | |
| 2 | Pradeep K. Sinha | — |
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