Which evaluation metric is commonly used for regression models during deployment

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Question: Which evaluation metric is commonly used for regression models during deployment?

Options:

Correct Answer: Mean Absolute Error (MAE)

Solution:

Mean Absolute Error (MAE) is commonly used to evaluate regression models.

Which evaluation metric is commonly used for regression models during deployment?

Which evaluation metric is commonly used for regression models during deployment?

Step 1: Understand that regression models predict continuous values, like prices or temperatures.
Step 2: Learn that we need a way to measure how well these predictions match the actual values.
Step 3: Know that one common metric for this is Mean Absolute Error (MAE).
Step 4: Understand that MAE calculates the average of the absolute differences between predicted values and actual values.
Step 5: Realize that a lower MAE indicates a better-performing model.

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