Which evaluation metric is used to measure the performance of regression models?

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Question: Which evaluation metric is used to measure the performance of regression models?

Options:

Correct Answer: Mean Absolute Error

Solution:

Mean Absolute Error measures the average magnitude of errors in a set of predictions, without considering their direction.

Which evaluation metric is used to measure the performance of regression models?

Which evaluation metric is used to measure the performance of regression models?

Step 1: Understand that regression models predict continuous values, like prices or temperatures.
Step 2: Know that we need a way to measure how accurate these predictions are.
Step 3: Learn about Mean Absolute Error (MAE), which is one of the metrics used for this purpose.
Step 4: Realize that MAE calculates the average of the absolute differences between predicted values and actual values.
Step 5: Remember that MAE does not consider whether the errors are positive or negative; it only looks at their size.

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