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Suppose we want to use cross-validation to estimate the error of the following procedure: Step 1: Find the k variables most correlated with y Step
Suppose we want to use cross-validation to estimate the error of the following procedure:
Step 1: Find the k variables most correlated with y
Step 2: Fit a linear regression using those variables as predictors
We will estimate the error for each k from 1 to p, and then choose the best k.
True or false: a correct cross-validation procedure will possibly choose a different set of k variables for every fold.
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