Summary of ROC-AUC by Algorithm Configurations (Cravings)

A summary of ROC-AUC performance metrics for different algorithm configurations, likely from a study on cravings. The dataset was created by Corinna Leppin and is shared under a CC-BY-4.0 license. It was last updated on May 14, 2026.

Use Cases

• Compare algorithm performance based on ROC-AUC scores mentioned in the description
• Benchmark different machine learning configurations for a study on cravings
• Analyze the relationship between algorithm settings and predictive accuracy

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 9.5 KB, indicating a focused and easily downloadable summary.

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

Corinna Leppin

Freshness

Last updated 2026-05-14 17:33:21; freshness should be verified.