Which evaluation metric is most appropriate for a regression model?

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Question: Which evaluation metric is most appropriate for a regression model?

Options:

Correct Answer: Mean Absolute Error

Solution:

Mean Absolute Error (MAE) is a common evaluation metric used to assess the performance of regression models.

Which evaluation metric is most appropriate for a regression model?

Which evaluation metric is most appropriate for a regression model?

Step 1: Understand that a regression model predicts continuous values, like prices or temperatures.
Step 2: Learn that evaluation metrics help us measure how well the model is performing.
Step 3: Know that Mean Absolute Error (MAE) is one way to measure performance.
Step 4: Realize that MAE calculates the average of the absolute differences between predicted values and actual values.
Step 5: Conclude that a lower MAE indicates a better-performing regression model.

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