Q$5$ Which is true about the statistical learning framework and error decomposition?

$($A$)$ The generalization performance is computed on the underlying data distribution

$($B$)$ The underlying data distribution is known

$($C$)$ The optimization is always a convex optimization

$($D$)$ Only maximum likelihood estimation can be used to derive the loss function

Solution: