Overfitting in making comparisons between variable selection methods

This paper addresses a common methodological flaw in the comparison of variable selection methods by addressing the problem of cross-validation performance estimates of the different variable subsets used with computationally intensive search algorithms.

Abstract

This paper addresses a common methodological flaw in the comparison of variable selection methods. A practical approach to guide the search or the selection process is to compute cross-validation p...