No more black boxes! Explaining the predictions of a machine learning XGBoost classifier algorithm in business failure

This study opens the black boxes and fills the literature gap by showing how it is possible to fit a very precise Machine Learning model that is highly interpretable, by using a novel ML technique, Extreme Gradient Boosting (XGBoost), and applying new model interpretability improvements. In addition...

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Veröffentlicht in:	Research in international business and finance Jg. 61; S. 101649
Hauptverfasser:	Carmona, Pedro, Dwekat, Aladdin, Mardawi, Zeena
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.10.2022
Schlagworte:	Business failure Machine learning Model interpretability XGBoost C 45 Model interpretability C46 Business failure G33 XGBoost G32 Machine learning
ISSN:	0275-5319, 1878-3384
Online-Zugang:	Volltext
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