Alexy Tran-Dinh uploaded a performance comparison dataset on figshare in May 2026. The dataset is 5.5 KB in size and is available in XLS format under a CC-BY-4.0 license.
Use Cases
- Benchmarking fairness-aware algorithms based on performance metrics
- Comparing model performance against established fair ML baselines
- Evaluating trade-offs between accuracy and fairness in ML systems
Strengths
- Dataset is openly licensed (CC-BY-4.0) for reuse.
- File size is 5.5 KB, indicating a concise and focused comparison.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
Provenance
- Source
- Alexy Tran-Dinh
- Freshness
- Last updated 2026-05-05 18:00:38; freshness should be verified.