Cost-sensitive ensemble learning for bankruptcy prediction under extreme class imbalance

Abstract Corporate bankruptcy prediction is a high-stakes artificial intelligence (AI) task characterized by extreme class imbalance and asymmetric misclassification costs. Although ensemble learning models have shown strong predictive performance, most existing studies rely on cost-insensitive metr...

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Hlavní autoři:	Thanh Tu Dam, Xuan Tho Dang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Springer 2026-04-01
Edice:	Discover Artificial Intelligence
Témata:	Bankruptcy prediction Ensemble learning Cost-sensitive learning Extreme class imbalance Decision-optimized AI
On-line přístup:	https://doi.org/10.1007/s44163-026-01266-4
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