Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach

Koen W. de Bock; Kristof Coussement; Stefan Lessmann

doi:10.1016/j.ejor.2020.01.052

Journal articles

Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach

Koen W. de Bock ¹ Kristof Coussement ^{2, 3} Stefan Lessmann ⁴

1 Audencia Business School

2 IESEG - School of Management (LEM)

3 LEM - Lille économie management - UMR 9221

4 Humboldt University of Berlin

Document type :

Journal articles

Domain :

Humanities and Social Sciences / Business administration

Statistics [stat] / Machine Learning [stat.ML]

Humanities and Social Sciences / Methods and statistics

Complete list of metadata

https://hal.archives-ouvertes.fr/hal-02863245
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Submitted on : Friday, June 3, 2022 - 5:36:06 PM
Last modification on : Tuesday, June 7, 2022 - 9:53:21 AM

Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach

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Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach

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