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A financial services company is developing a machine-learning model to classify loan applications as either "approved" or "denied." To ensure the model performs effectively, the company wants to evaluate how accurately it predicts these outcomes. Specifically, they are interested in knowing the overall percentage of correct predictions, including both approved and denied applications. The company is considering several metrics to assess the model's performance in terms of the number of correct outcomes. Which metric would be most appropriate for this purpose?