Question: ( b ) The expected test MSE, for a given x 0 , can be decomposed into the sum of three fundamental quantities: E [

(b) The expected test MSE, for a given x0, can be decomposed into the sum of three
fundamental quantities:
E[y0-(hat(f))(x0)]2=V((hat(f))(x0))+[Bias((hat(f))(x0))]2+V(lon).
Briefly explain each of these three quantities, and what is Bias vs Variance trade
off in relation to model complexity?
(b) The expected test MSE, for a given x0, can be

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