According to the definition of MSE loss function : L(w, b) = MSE = 1/2N$\\sigma(y - h(x))^2$ If one model was so perfectly wrong, then MSE shall be 2N/2N =1. But mo
L(w, b) = MSE = 1/2N$\\sigma(y - h(x))^2$
