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(MSE) mean squared error

LossFunction shark 1 min read

(1)   \begin{align*}MSE & = \frac{1}{N}\sum_{i=1}^N (y_i - \hat{y_i})^2 \\& \text{N is the number of observations} \\& y_i \text{ is the observed value} \\& \hat{y_i} \text{ is the predicted value}\end{align*}

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