Using Supervised Learning to Select Audit Targets in Performance-Based Financing in Health: An Example from Zambia - Working Paper 481

We examine alternative strategies for targeted sampling of health clinics for independent verification. Our results indicate that machine learning methods, particularly Random Forest, outperform other approaches and can increase the cost-effectiveness of verification activities.