Big Data- and AI-Driven Hybrid Self-Attention Credit Scoring with Explainable Decisioning
This work proposes a tenure-stratified hybrid framework that couples an online weight-of-evidence logistic regression (WOE-LR) scorecard with an offline self-attention stacked ensemble whose calibrated PD is quantile-binned, WOE-encoded, and re-injected into the online scorecard as a single auditable predictor.