Definition:Cross-Validation/Leave-One-Out

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Definition

The leave-one-out technique of cross-validation is the extreme situation in which the subsets into which the data is partitioned are singletons.

That is, each of the $n$ observations is omitted in turn, and a model is fitted to the remaining $n - 1$ data.


Also see

  • Results about cross-validation can be found here.


Sources