A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects

Ensemble learning techniques have achieved state-of-the-art performance in diverse machine learning applications by combining the predictions from two or more base models. This paper presents a concise overview of ensemble learning, covering the three main ensemble methods: bagging, boosting, and st...

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Bibliographic Details
Published in:IEEE access 2022, Vol.10, p.1-1
Main Authors: Mienye, Ibomoiye Domor, Sun, Yanxia
Format: Article
Language:English
Subjects:
Algorithms
Bagging
Boosting
Classification
Classification algorithms
Computational modeling
Ensemble learning
fraud detection
Learning systems
Machine learning
Machine learning algorithms
medical diagnosis
Prediction algorithms
State-of-the-art reviews
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