Bootstrapped AUC Comparison for Watery Shigellosis Prediction

A comparison of bootstrapped Area Under the Curve (AUC) metrics for predicting watery shigellosis. The dataset was created by Billy Ogwel and last updated on June 1, 2026. It is a small 5.5 KB Excel file.

Use Cases

• Compare model performance metrics based on bootstrapped AUC values.
• Evaluate the incremental predictive value of biomarkers for watery shigellosis.
• Benchmark diagnostic algorithms using iterative biomarker inclusion methods.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 5.5 KB, indicating a focused and manageable dataset.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare

Freshness

Last updated 2026-06-01 18:00:12; freshness should be verified.