Credit risk modeling with HistGradientBoosting, featuring evaluation, SHAP explainability, threshold optimization, and high-risk client analysis.
-
Updated
Feb 24, 2026 - Jupyter Notebook
Credit risk modeling with HistGradientBoosting, featuring evaluation, SHAP explainability, threshold optimization, and high-risk client analysis.
Top 9% solution for the Kaggle March Machine Learning Mania 2026. Optimized ElasticNet, and HistGradientBoosting models blended with betting market insights.
Add a description, image, and links to the histgradientboosting topic page so that developers can more easily learn about it.
To associate your repository with the histgradientboosting topic, visit your repo's landing page and select "manage topics."