Which metric would be most appropriate for evaluating a regression model?

Which metric would be most appropriate for evaluating a regression model?

Step 1: Understand what a regression model does. It predicts a continuous value based on input data.
Step 2: Learn about evaluation metrics. These are ways to measure how well the model is performing.
Step 3: Know that Mean Absolute Error (MAE) is one of these metrics. It tells us how far off our predictions are from the actual values.
Step 4: Realize that MAE calculates the average of the absolute differences between predicted values and actual values.
Step 5: Understand that MAE does not consider whether the predictions are above or below the actual values, only the size of the errors.

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