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In regression tasks, which metric is typically used to measure the difference be

Practice Questions

Q1
In regression tasks, which metric is typically used to measure the difference between predicted and actual values?
  1. F1 Score
  2. Mean Absolute Error
  3. Confusion Matrix
  4. Precision

Questions & Step-by-Step Solutions

In regression tasks, which metric is typically used to measure the difference between predicted and actual values?
  • Step 1: Understand that regression tasks involve predicting a continuous value.
  • Step 2: Know that we need a way to measure how close our predictions are to the actual values.
  • Step 3: Learn about Mean Absolute Error (MAE), which is a common metric 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 a lower MAE indicates better predictive accuracy.
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