Paper gives an exact finite-sample identity for CV variance
K-fold is first-order variance optimal, leave-one-out is smallest among K-fold schemes, and the estimate is asymptotically normal.
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K-fold is first-order variance optimal, leave-one-out is smallest among K-fold schemes, and the estimate is asymptotically normal.
A 3D nnU-Net trained on 1,351 BraTS-GoAT 2026 cases shows mean Dice dropping 0.0747 from out-of-fold to pooled validation, exposing generalization gaps.
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