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What is the formula for mean squared error?
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The mean squared error (MSE) is given by
$M S E=\frac{1}{n} \sum_{i=1}^n\left(y_i-\hat{f}\left(x_i\right)\right)^2,$
where $\hat{f}\left(x_i\right)$ is the prediction that $\hat{f}$ gives for the $i$ th observation.
by Platinum (141,884 points)

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