Which metric would you use to evaluate a regression model's performance that is sensitive to outliers?

Practice Questions

1 question
Q1
Which metric would you use to evaluate a regression model's performance that is sensitive to outliers?
  1. Mean Absolute Error
  2. Mean Squared Error
  3. R-squared
  4. Root Mean Squared Error

Questions & Step-by-step Solutions

1 item
Q
Q: Which metric would you use to evaluate a regression model's performance that is sensitive to outliers?
Solution: Mean Squared Error (MSE) is sensitive to outliers because it squares the errors, giving more weight to larger errors.
Steps: 0

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