The residual sum of squares function is the following:

\text{RSS} = \sum_{i=1}^N \left(y_i - \hat y_i\right)^2 ,

where y_i is the ith variable to be predicted and \hat y_i is the predicted value of y_i. It is often used as a cost function in the training of a linear regression model.

11:45 Wednesday 26 May 2021