Variance of Eval
I'm confused about how to simplify expressions involving Var[Eval(g-)].
I know that Var[Eval(g-)] = E [ ( Eval(g-) - E[Eval(g-)] )^2] = E [ ( Eval(g-) - Eout(g-) )^2] and that for classification P[g-(x) != y] = Eout(g-). I'm not sure how to bring K into any of these expressions.
Any help would be greatly appreciated.
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