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In building a predictive credit scoring model, feature selection is an essential pre-processing step that can improve the predictive accuracy and comprehensibility of models. In this study, we sele... Click to show full abstract
In building a predictive credit scoring model, feature selection is an essential pre-processing step that can improve the predictive accuracy and comprehensibility of models. In this study, we sele...
Keywords:
scoring model;
feature selection;
credit scoring
Journal Title: Journal of the Operational Research Society
Year Published: 2021
Link to full text (if available)
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Journal Title: Journal of the Operational Research Society
Year Published: 2021
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!