Multi-class financial distress prediction based on feature selection and deep forest algorithm
Xiaofang Chen, Zengli Mao, Chong Wu
| Year of publication: |
2025
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|---|---|
| Authors: | Chen, Xiaofang ; Mao, Zengli ; Wu, Chong |
| Published in: |
Computational economics. - Dordrecht [u.a.] : Springer Science + Business Media B.V., ISSN 1572-9974, ZDB-ID 1477445-8. - Vol. 66.2025, 4, p. 2715-2754
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| Subject: | Deep forest algorithm | Feature selection | Financial distress prediction | Multi-class prediction | Prognoseverfahren | Forecasting model | Insolvenz | Insolvency | Algorithmus | Algorithm | Forstwirtschaft | Forestry | Theorie | Theory | Künstliche Intelligenz | Artificial intelligence |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10614-024-10761-8 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015591177