AmirhosseinHonardoust/Underwriting-Decision-Safety-Lab
A decision-safety lab for loan approval: trains a baseline classifier, calibrates probabilities (ECE/Brier), sweeps confidence thresholds to build a coverage, quality frontier and outputs a defensible abstention policy (auto-decide vs review). Includes a Streamlit dashboard for report cards, triage UI, and data quality checks.
GitHub repository with 13 stars and 0 forks.
Language: Python
Topics: abstention, calibration, classification, credit-risk, data-quality, data-science, decision-policy, loan-approval, machine-learning, mlops