Historical milestone · 1987
UCI Machine Learning Repository
Reviewed through September 18, 2026
1987 · Historical milestone
UCI Machine Learning Repository
- Era
- 1980s
- Theme
- Infrastructure, efficiency & open ecosystems
- Evidence form
- Created a public collection of datasets used to compare learning algorithms across common tasks
- School / paradigm
- Shared datasets / empirical ML
- Institution / context
- University of California, Irvine
- Researchers
- David Aha; David Kibler; the UCI community
Understand
Plain-language record, transferred from the reviewed source module.
Theory or experimental setup. Lowered the cost of reproducible experimentation and helped establish comparative empirical ML practice.
Result / historical claim. Small curated datasets encouraged benchmark overfitting and often lacked deployment context or documentation.
Apply
Professional implication, only where the reviewed record states one.
The checked-in record does not state a separate professional application for this entry. The topic page places it in the wider research lineage: .
Verify
Evidence status, stated limitations, and the external sources this record actually carries.
Evidence form. Created a public collection of datasets used to compare learning algorithms across common tasks
Limitation / debate. Open datasets, benchmark governance, data cards, and reproducible baselines.
Source status. This milestone row does not carry a primary-source URL in the approved export, and we do not have a verified link for it in our own research. We do not guess one.
No primary-source URL is recorded for this entry in our reviewed data. Rather than manufacture a citation, we link the Implement Agentic research page that carries the record.
Reproduce
A reproduction tutorial is linked only when one exists for this exact record.
A reproduction tutorial is not yet available for this entry. The closest reviewed material is .
Cite or share
APA-like: This historical record carries a year only, and no author or publisher of record in the checked-in data. An APA reference would have to invent that metadata.
BibTeX: BibTeX requires an author and publication venue. Historical lineage entries store a narrative record and its source link, not structured authorship, so the field would be fabricated.