Cross-sectional analysis of accuracy versus interpretability in Medicare Advantage risk adjustment

Standard ML models can modestly improve predictive accuracy but substantially worsen model interpretability in risk adjustment. Future research is needed to improve accuracy in these models while maintaining the interpretability essential for oversight of public spending.