Measuring Model Performance

Accuracy can be misleading, especially in scenarios with low prevalence of positive cases. Anand discusses the importance of alternative metrics like mean average precision and ROC curves. He also highlights challenges encountered when transitioning from model development to production, particularly regarding the availability of timely data in patient medical records.