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You are in the process of building a model aimed at identifying fraudulent credit card transactions, with a primary focus on enhancing detection capabilities since overlooking even a single fraudulent transaction could have serious consequences for the credit card holder. To train this model, you have employed AutoML, utilizing users' profile details and credit card transaction data. However, after the initial model training, you've observed that the model is falling short in detecting a significant number of fraudulent transactions. What modifications should you make to the training parameters in AutoML to enhance the model's performance? (Select two options.)