BACS: blockchain and AutoML-based technology for efficient credit scoring classification
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DOI: 10.1007/s10479-022-04531-8
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- Dumitrescu, Elena & Hué, Sullivan & Hurlin, Christophe & Tokpavi, Sessi, 2022.
"Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects,"
European Journal of Operational Research, Elsevier, vol. 297(3), pages 1178-1192.
- Elena Ivona Dumitrescu & Sullivan Hué & Christophe Hurlin & Sessi Tokpavi, 2022. "Machine Learning for Credit Scoring: Improving Logistic Regression with Non Linear Decision Tree Effects," Post-Print hal-03331114, HAL.
- Michael Doumpos & Constantin Zopounidis, 2007. "Model combination for credit risk assessment: A stacked generalization approach," Annals of Operations Research, Springer, vol. 151(1), pages 289-306, April.
- Chrysovalantis Gaganis & Panagiota Papadimitri & Menelaos Tasiou, 2021. "A multicriteria decision support tool for modelling bank credit ratings," Annals of Operations Research, Springer, vol. 306(1), pages 27-56, November.
- Matthias Schonlau & Rosie Yuyan Zou, 2020. "The random forest algorithm for statistical learning," Stata Journal, StataCorp LLC, vol. 20(1), pages 3-29, March.
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Keywords
Credit scoring; Credit crisis; Hyperparameter optimisation; Blockchain technology; Classification model; Automated machine learning;All these keywords.
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