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MOGA: Multi-Objective Genetic Algorithm to select Stacking Ensemble Learning for classification

delete2025-08-26
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PRE
AI
A
Abdellah Rezoug *
M
Mohamed Bader–El–Den
DOI:10.1016/j.asoc.2025.113706delete
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Abstract

Abstract

En 中文
• MOGA generates stacking models to optimise precision/recall for classification. • MOGA generalises stacking ensemble models for varied classification tasks. • 19 models of different natures are included in the set of base models in MOGA. • MOGA has been examined across 23 known datasets.
Keywords:
MOGA
stacking models
precision/recall optimisation
classification tasks
ensemble learning

Journal

Applied Soft Computing cover
Applied Soft Computing
IF:
6.6
Papers:
1.4W
Citations:
4.8W

Organization

U
University of Boumerdes
Scholars:
8
Papers: 6
Citations: 0
U
University of Portsmouth
Scholars:
5.1K
Papers: 5.4K
Citations: 9.2K