Sum of Squared Errors Loss

Definition

Suppose the number of data is $n$, then the sum of squared error loss (SSE) is defined as the sum of Squared Error Loss of all data. $R(\theta )=\sum _{i=1}^n(y_i-f(x_i){)}^2$