ing-bank/skorecard
scikit-learn compatible tools for building credit risk acceptance models
Provides automated feature binning via multiple bucketing strategies (optimal, equal-width, quantile) integrated into scikit-learn pipelines, plus an interactive Dash webapp for business users to manually refine bucket boundaries. Built on optbinning for optimization and extends LogisticRegression with statistical significance reporting. Includes visualization and reporting tools designed specifically for scorecard documentation and regulatory compliance workflows.
110 stars. Used by 1 other package. No commits in the last 6 months. Available on PyPI.
Stars
110
Forks
31
Language
Python
License
MIT
Category
Last pushed
Feb 09, 2025
Commits (30d)
0
Dependencies
7
Reverse dependents
1
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