Comparing Predictive Models for Dependent Risk Pricing

This paper compares gradient-boosted trees, multilayer perceptrons, and transformer-based deep learning models for multiperil insurance pricing, showing transformers best capture dependencies between covers and risk components, enhancing predictive accuracy.