As a Professional Machine Learning Engineer, you are developing a binary classification model to identify whether scanned documents contain a company's logo. The dataset is highly imbalanced, with 96% of the images not containing the logo. Given the need to deploy this model in a production environment where both false positives and false negatives carry significant costs, which evaluation metrics would you prioritize to ensure the model's performance is accurately assessed? (Choose two correct options)