Model Governance & Spec• LightGBM Risk Engine
Model Architecture & Governance
PRODUCTION ACTIVE
Production Model Lineage Pipeline
01 / DATASETIEEE-CIS Fraud590,540 rows
02 / FEATURES492 DimensionsSingle-pass vector
03 / BOOSTERPISTA LightGBMActive Model
04 / CALIBRATIONIsotonic MappingBrier Score: 0.0234
05 / DECISIONINGTri-State RoutingFrictionless Triage
Interactive Policy Threshold Studio
Simulate real-time operational trade-offs between automated pass-through and manual triage load.
Review Threshold (τ_review)25%
5% (Aggressive Review)50% (High Pass-Through)
Block Threshold (τ_block)75%
50% (Strict Hard Rejection)95% (Lenient Block)
Frictionless Approval
84.0%
Zero merchant frictionManual Triage Load
11.0%
Routed to investigatorsHard Automated Block
5.0%
Instant rejectionExpected Fraud Catch
93.5%
Chargeback suppressionPISTA LightGBM Risk Engine
Calibrated LightGBM GBDT pipeline (v1.0.0)Optimized gradient booster with leaf-wise tree growth, balanced logloss, and integrated Isotonic probability calibrator.
PR-AUC0.5450
ROC-AUC0.9130
Inference< 1.0 ms
Heterogeneous Tri-Blend
Challenger: LightGBM + XGBoost + CatBoostThree-way stacked blend. Retained for governance validation but bypassed for live transactions due to higher latency overhead.
PR-AUC0.5482
ROC-AUC0.9142
Inference4.20 ms