Connect-4
Enumerated game positions for studying categorical prediction and symmetry-aware evaluation.
External resource. No execution or independent verification is claimed here.
Does grouping symmetry-equivalent Connect-4 positions change apparent test accuracy?
After qualified ingestion and an immutable evaluation plan, recompute confusion matrices, classwise metrics and uncertainty from held-out predictions and frozen labels; fit preprocessing inside training partitions. Successful reproduction would not validate original measurements or causal interpretations.
What you could produce
- Exact input manifest with data-file digests and a schema/rights audit.
- Frozen evaluation protocol with split or group identifiers and an explicit baseline.
- Bounded analysis report with recomputable metrics, uncertainty and unresolved findings.
Before you use it
- Resolve exact data files and digests through qualified isolated ingestion.
- Audit data schema, provenance and license conditions before designing a bounded analysis.
- Freeze preprocessing, splits, metrics, runtime requirements and budget before execution.
Limits to keep in view
- No dataset contents, dependency compatibility, runtime cost or scientific result was checked.
- Grouping, timing or identifiers needed by the proposed protocol may be absent; report that limitation rather than inventing split labels.
- Large or specialized sources may require a predetermined subset or a broader qualified runtime; no resource fit is established.
- The qualified self-contained Python 3.13 pilot is not evidence that this dataset or its usual analysis packages can run.
Source and permission context
Attribute the supplied creators and UCI dataset DOI/source. Preserve license links and identify changes before any permitted data reuse.
Catalog listing reviewed. This review covers the description and source links displayed here.
Reviewed the original description of Connect-4: Enumerated game positions for studying categorical prediction and symmetry-aware evaluation. Its public UCI identity, supplied creators, scoped license observation and per-record page evidence match the stored official metadata. Listing approval concerns that description and source links; the recorded dataset license is not treated as a license for every linked artifact or as metadata rights clearance.
Reviewed 2026-09-14. Copying or adapting source files remains subject to their own terms.
data · CC-BY-4.0
This dataset's official page assigns CC BY 4.0 to the dataset. The observation concerns the dataset license statement; separate article, software and third-party rights were not inferred.
Inspect the license evidence ↗Before copying source material
- Data files and embedded or third-party notices were not downloaded or inspected.
- The API's last-updated date is metadata, not an immutable dataset version or content digest.
- Any reused generator code needs its own version and code-license check; a dataset license does not establish software reuse rights.