An interactive web tool for credit risk data binning, Weight of Evidence (WoE), and Information Value (IV) optimization. Built for credit scoring professionals, data scientists, and financial institutions.
🔗 Live App: capprossbins.cappross.com
CapprossBins is a comprehensive, open-source-friendly alternative to heavy enterprise software (like SAS or FICO) and programmatic Python libraries (like OptBinning or scorecardpy). It provides an intuitive, interactive web interface for building transparent credit risk models, performing WOE segmentation, and calculating Information Value without writing code.
- Interactive WOE Binning: Manually adjust bins with monotonic constraints.
- IV Calculation: Feature selection based on Information Value.
- Model Stability: Monitor Population Stability Index (PSI).
- Credit Scorecard Development: Transparent models with SHAP explainability.
- Regulatory Compliance: Support for Basel and IFRS 9 standards.
- Model Governance: Complete audit trails for risk model adjustments.
A detailed walkthrough of building a high-performing credit scoring model using WOE binning and IV-based feature selection across 5 risk tranches.
How WOE binning revealed that 67.5% of churned customers were actually power users. Deep strategic analysis through intelligent customer segmentation.
Yasser Soliman — cappross.com | LinkedIn
woe, iv, credit-scoring, risk-modeling, scorecard, binning, weight-of-evidence, information-value, credit-risk, basel, ifrs9