In Julia language: Let's start with the error metric. A common one is mean squared error (MSE), which is the square of the difference between a number n of model predictions y and actual values y:

n MSE = (yi - yi) In Create a function mse that takes a vector of model predictions y and a vector of actual values y and returns the MSE between them. mse (generic function with 1 method)