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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

W. Browne

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Book Open access Jul 2026

RASF-LCS: Ranked Attribute Selection and Distance-Based Rule Filtering for Interpretable Credit Scoring

Experiments on loan approval datasets show that RASF improves accuracy by 3–5% over standard LCS while maintaining interpretable, rule-based outputs, highlighting the potential of RASF-LCS for explainable credit decision-making.

Ahamed Zahvie, Abubakar Siddique, Trung Nguyen et al. · 1 citation
Book Open access Jul 2026

Machine Learning for Credit Approval: Enhancing Decision Accuracy and Explainability

A novel Ranked Attribute Selection with Midpoint Filtering with Midpoint Filtering (RASF) framework that extends LCS (EXTRACS) to enhance feature selection and rule validation for credit approval and supports explainable AI in credit scoring.

M. Ahamed, Abubakar Siddique, Trung Nguyen et al. · 0 citations

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