Machine learning foundations· 1974
Cross-Validatory Choice and Assessment of Statistical Predictions
On the reading lists
- #54 in Machine learning foundations (2026 edition)
Why it matters
Established cross-validation as a general framework for selecting and assessing predictive models.
Condensed from the expert lists' notes.
The record
Editor's notes
- Readability check: pass: Stone's cross-validation paper. (AI draft (Claude), not yet reviewed, 2026-10-29)
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.