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You have a dataset containing historical sales data, and you want to use BigQuery ML to create a linear regression model to predict future sales based on various input features. After training the model, you need to interpret its effectiveness by evaluating its prediction performance. Which metric provided by ML.EVALUATE would best indicate the model's accuracy in this regression task?