Re: Questions on Problem 2.24
I still have some questions.
var = Ex[var(x)], but var(x) = Ed[(gk(x)  g_(x))^x], where var(x) is computed based on the K data sets that learnt the average function g_(x). Then, how to compute var, which is a expected value of var(x)?
If var is computed on the same data sets that learnt the average function. Then, how to compute bias = Ex[bias(x)]? If still be computed in the same data set that learnt the average function?
