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Root Mean Squared Error

[rut min skwɛrd ˈɛrər]
Machine Learning
Last updated: December 9, 2024

Definition

The square root of the mean squared error, providing an error metric in the same units as the target variable.

Detailed Explanation

RMSE is the square root of MSE, bringing the error metric back to the original unit scale of the target variable. Like MSE, it penalizes larger errors more heavily than smaller ones due to the squaring operation. It's always non-negative and zero indicates perfect prediction.

Use Cases

Used in weather forecasting, financial forecasting, and any regression problem where error units should match the target variable.

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