early-default-detection

Public

This project builds an early stage credit default detection model using only application data, intended to serve as a fast prescreening filter before any extra document submission, external bureau checks, ore manual review, enhancing customer experience while maintaining low financial risk in online lending.

credit-risk data-analysis feature-engineering fintech imbalanced-classification lightgbm machine-learning predictive-modeling

Creat：2025-11-14T12:03:20

Update：2025-11-19T00:51:54

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