Statistical Indicators and Acceptable Ranges for Model Performance

5.5 KB of tabular data in XLS format, compiled by Safdar Abbas Kazmi, provides statistical indicators and acceptable ranges for evaluating model performance. The dataset was last updated on June 2, 2026, and is shared under a CC-BY-4.0 license on figshare. Its specific contents and row count are not detailed in the available metadata.

Use Cases

• Benchmarking new machine learning models against established performance thresholds based on the described statistical indicators.
• Setting validation criteria for model deployment based on the documented acceptable ranges.
• Educating students on standard evaluation metrics for machine learning based on the compiled reference material.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• It is openly licensed under CC-BY-4.0, allowing for broad reuse and modification.
• The last update timestamp (2026-06-02) is explicitly provided.

Limitations

• Row count and specific column definitions are unknown, requiring manual inspection after download.
• Description metadata is limited; actual data quality and comprehensiveness require verification.

Provenance

Source

figshare, author Safdar Abbas Kazmi

Freshness

Last updated 2026-06-02 18:00:37; freshness should be verified.