Interpreting the prediction results of the tree-based gradient boosting models for financial distress prediction with an explainable machine learning approach
Jiaming Liu, Chengzhang Li, Peng Ouyang, Jiajia Liu, Chong Wu
| Year of publication: |
2023
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|---|---|
| Authors: | Liu, Jiaming ; Li, Chengzhang ; Ouyang, Peng ; Liu, Jiajia ; Wu, Chong |
| Published in: |
Journal of forecasting. - New York, NY : Wiley Interscience, ISSN 1099-131X, ZDB-ID 2001645-1. - Vol. 42.2023, 5, p. 1112-1137
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| Subject: | data mining | explainable machine learning | financial distress prediction | tree-based gradient boosting models | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Insolvenz | Insolvency | Data Mining | Data mining |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1002/for.2931 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014338816