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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Bibliographic Details

Published in:	Research in international business and finance Vol. 61; p. 101649
Main Authors:	Carmona, Pedro, Dwekat, Aladdin, Mardawi, Zeena
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.10.2022
Subjects:	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 Access:	Get full text
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