UtkarshDubeyGIT/Fuzzy-Monotonic-LightGBM-for-Explainable-Credit-Default-Prediction
Hybrid fuzzy-monotonic LightGBM framework for transparent, regulator-friendly credit default prediction. Combines linguistic fuzzy rules, economic monotonic constraints, and boosted models to deliver calibrated, explainable, high-performance credit-risk scoring.
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Mar 11, 2026
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