Note on Free Lunches and Cross-Validation
Abstract
The “no-free-lunch” theorems (Wolpert & Macready, 1995) have sparked heated debate in the computational learning community. A recent communication (Zhu & Rohwer, 1996) attempts to demonstrate the inefficiency of cross-validation on a simple problem. We elaborate on this result by considering a broader class of cross-validation. When used more strictly, cross-validation can yield the expected results on simple examples.
Cite
Text
Goutte. "Note on Free Lunches and Cross-Validation." Neural Computation, 1997. doi:10.1162/NECO.1997.9.6.1245Markdown
[Goutte. "Note on Free Lunches and Cross-Validation." Neural Computation, 1997.](https://mlanthology.org/neco/1997/goutte1997neco-note/) doi:10.1162/NECO.1997.9.6.1245BibTeX
@article{goutte1997neco-note,
title = {{Note on Free Lunches and Cross-Validation}},
author = {Goutte, Cyril},
journal = {Neural Computation},
year = {1997},
pages = {1245-1249},
doi = {10.1162/NECO.1997.9.6.1245},
volume = {9},
url = {https://mlanthology.org/neco/1997/goutte1997neco-note/}
}