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Abstract:
We perform a theoretical investigation of the variance of the
cross-validation estimate of the generalization error that takes
into account the variability due to the choice of training sets.
This allows us to propose two new ways to estimate this variance.
We show, via simulations, that these new statistics perform well
relative to the statistics considered by Dietterich (1998).
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