An ensemble tree classifier for highly imbalanced data classification

DOI10.1007/s11424-021-1038-8zbMath1483.62114OpenAlexW3196171775MaRDI QIDQ2121170

Zhong Wang, Peibei Shi

Publication date: 1 April 2022

Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11424-021-1038-8

zbMATH Keywords

mathematical modelensemble learningimbalanced classificationF-measure

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Uses Software

• SMOTE

Cites Work

• Cost-sensitive label embedding for multi-label classification
• A hybrid data-level ensemble to enable learning from highly imbalanced dataset
• Credit scoring based on the set-valued identification method
• GMDH-based outlier detection model in classification problems
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