Fairness in Credit Scoring Models
Research project evaluating credit scoring models for fairness and disparities using the German Credit dataset and statistical discrimination metrics.
| 2024 | Algorithmic Fairness · Machine Learning · Credit Scoring |
Research project for course `Algorithmic Fairness, Accountability, Transparency, and Ethics (FATE) by Dr. Shion Guha (Faculty of Information, University of Toronto).
Evaluated credit scoring models for fairness and disparities quantitatively and qualitatively.
Methods
- Trained an ML model on German Credit data and computed statistical discrimination metrics
Links: Documentation