ML Anthology

The Cross Validation Problem

John Langford
COLT 2005 pp. 687-688
doi:10.1007/11503415_47 /colt/2005/langford2005colt-cross/

Abstract

K -fold cross validation is a commonly used technique which takes a set of m examples and partitions them into K equal-size sets (folds) of size m / K . For each set, a classifier is trained on the other sets.

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Text

Langford. "The Cross Validation Problem." Annual Conference on Computational Learning Theory, 2005. doi:10.1007/11503415_47

Markdown

[Langford. "The Cross Validation Problem." Annual Conference on Computational Learning Theory, 2005.](https://mlanthology.org/colt/2005/langford2005colt-cross/) doi:10.1007/11503415_47

BibTeX

@inproceedings{langford2005colt-cross,
  title     = {{The Cross Validation Problem}},
  author    = {Langford, John},
  booktitle = {Annual Conference on Computational Learning Theory},
  year      = {2005},
  pages     = {687-688},
  doi       = {10.1007/11503415_47},
  url       = {https://mlanthology.org/colt/2005/langford2005colt-cross/}
}