Independent public-data benchmark · UCI
- ROC-AUC
- 0.7773 Ranking discrimination
- PR-AUC
- 0.5518 Precision and recall
- Brier score
- 0.1354 Probability error
31.5% of defaults captured in the top 10%.
6,000-row random holdout · Histogram gradient boosting.
Educational results; not employer-model or out-of-time performance.
Credit Scoring ML
Credit Scoring ML & Risk Modeling
My credit-scoring work covers preparing data, comparing models, and getting the inputs ready for handoff. Here, I use a separate public-data benchmark to share the results openly.
