Root Mean Squared Error (Rmse)

[!def] Root Mean Squared Error Formula
$$
RMSE = \sqrt{\frac{1}{N} \sum_i (x_i - \hat{x_i})^2}
$$

Pros

1. Easy to understand
2. Computationally simple
3. Easy to differentiate
4. Does not penalize the error as much as Mean Squared Error (MSE)

Cons

1. Bad at Handling Outliers
2. RMSE increases with the size of the test dataset