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MOGA: Multi-Objective Genetic Algorithm to select Stacking Ensemble Learning for classification
DOI:10.1016/j.asoc.2025.113706.png)
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
IF:
6.6
Papers:
1.4W
Citations:
4.8W

