Mean Retained Ratio and Speedup at n=1,000,000 (20 Trials)

Oswaldo Cadenas published a dataset containing mean retained ratio and speedup metrics from 20 trials at a scale of n=1,000,000. The data is stored in a 5.5 KB XLS file and was last updated on May 19, 2026. The dataset is licensed under CC-BY-4.0 and is hosted on the figshare platform.

Use Cases

• Benchmarking algorithm speedup based on the reported speedup metric.
• Analyzing computational efficiency based on the retained ratio metric.
• Comparing performance across 20 trials for statistical robustness.
• Validating performance claims for algorithms operating at a scale of 1,000,000 elements.

Strengths

• Data is derived from 20 trials, which may provide a basis for statistical analysis.
• The dataset is small (5.5 KB), facilitating quick download and inspection.
• It has a clear license (CC-BY-4.0) permitting reuse with attribution.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count and column-level documentation are absent; field semantics must be inferred after download.

Provenance

Source

Oswaldo Cadenas via figshare

Freshness

Last updated 2026-05-19 17:26:24; freshness should be verified.