xRiskLab/woeboost
Weight of Evidence (WOE) Gradient Boosting
This tool helps financial analysts, risk managers, and healthcare professionals build highly accurate predictive models that are also easy to understand. You input structured data with features and an outcome you want to predict (like credit default or disease risk), and it outputs a score and an explanation for why that score was given, making the model's decision-making process transparent. This is ideal for professionals in regulated industries who need to justify their models.
No commits in the last 6 months. Available on PyPI.
Use this if you need to build predictive scoring models for high-stakes decisions, where both accuracy and clear, explainable reasoning are critical for regulatory compliance or stakeholder trust.
Not ideal if your primary concern is raw predictive power at all costs, and model interpretability is a secondary or non-existent requirement for your specific application.
Stars
9
Forks
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Language
Python
License
MIT
Category
Last pushed
Sep 16, 2025
Commits (30d)
0
Dependencies
7
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