You are a Data Scientist at an e-commerce company developing a machine learning model to predict whether a customer will make a purchase based on browsing behavior. The dataset is highly imbalanced, with only 5% of customers making a purchase. To properly assess the model’s performance and ensure it accurately identifies positive cases, which evaluation techniques and metrics should you prioritize? (Select two)