Data Science & ML
Basic

Root Mean Squared Error (RMSE)

Square root of MSE, in the same units as the target variable.

Formula

RMSE=1ni=1n(yiy^i)2RMSE = \sqrt{\frac{1}{n}\sum_{i=1}^{n}(y_i - \hat{y}_i)^2}

Variables

y_iActual
\hat{y}_iPredicted
nSamples

Example

If MSE = 4.67, RMSE = 2.16

Did You Know?

RMSE is preferred when you want the error in the original units.