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Which metric is used to evaluate the performance of regression models?

Practice Questions

Q1
Which metric is used to evaluate the performance of regression models?
  1. Confusion Matrix
  2. Mean Absolute Error
  3. Precision
  4. Recall

Questions & Step-by-Step Solutions

Which metric is used to evaluate 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 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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