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Mean squared error for the training sample and the inner and outer cross-validation as a function of the number of predictors. It is apparent that as the number of predictors increase from 1 to 2, the standard error of estimate decreases for our training sample and the inner cross-validation (CV Holdout); however, under the same circumstances, the standard error of estimate increases for the outer-cross validation (Test Holdout)
