A Three-Stage Residual-Boosted and Calibrated Framework for Multivariate Road Accident Risk Scoring
The conventional non-parametric machine learning models, such as Gradient Boosted Decision Trees (GBDTs), can be very powerful in terms of predictive capabilities for road traffic accident (RTA) risk indexing, but are vulnerable with respect to some architectural aspects: they lack deterministic domain-safety heuristic...