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Which metric is used to evaluate the performance of regression models?
Which metric is used to evaluate the performance of regression models?
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Which metric is used to evaluate the performance of regression models?
Confusion Matrix
Mean Absolute Error
Precision
Recall
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Mean Absolute Error (MAE) measures the average magnitude of errors in a set of predictions, without considering their direction.
Questions & Step-by-step Solutions
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Q: Which metric is used to evaluate the performance of regression models?
Solution:
Mean Absolute Error (MAE) measures the average magnitude of errors in a set of predictions, without considering their direction.
Steps: 5
Show Steps
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 a common metric for this purpose.
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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