A financial company is receiving hundreds of credit card applications daily and is looking for ways to streamline its manual review process. The company’s machine learning (ML) specialist has been given a CSV dataset with a highly imbalanced class. The specialist must train a prototype classifier that predicts whether to approve or reject an application. The company wants the model to be delivered as soon as possible. How can the ML specialist meet the requirement with the LEAST operational overhead?