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Answer: The RMSE will be underestimated, leading to overly optimistic performance assessments.
If the RMSE is not exponentiated after using the log of the target variable, it remains in the log scale, which underestimates the actual error in the original units of the target variable. This can lead to an overly optimistic assessment of the model's performance, as the error appears smaller than it actually is in the context of the original data.
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Discuss a scenario where the RMSE has not been exponentiated after using the log of the target variable in a regression model. What are the implications of this oversight for interpreting the model's performance?
A
The RMSE remains accurate and interpretable without exponentiation.
B
The RMSE will be underestimated, leading to overly optimistic performance assessments.
C
The RMSE will be overestimated, leading to overly pessimistic performance assessments.
D
The RMSE will be in a different unit, making it difficult to compare with other models or benchmarks.