Bayesian Model Thresholds and Ambiguous Cases for Sex Estimation

A small dataset from figshare details thresholds for post-hoc filtering in Bayesian models and counts cases categorized as ambiguous, which were excluded from successful sex estimation. The dataset, authored by Lukas Waltenberger, is a 5.5 KB XLS file last updated in May 2026. It is shared under a CC-BY-4.0 license.

Use Cases

• Evaluating the impact of different post-hoc filtering thresholds on Bayesian model performance for sex estimation.
• Analyzing the proportion of ambiguous cases excluded from a successful sex estimation based on the described thresholds.
• Comparing filtering strategies for Bayesian models in forensic or anthropological classification tasks.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Specific license (CC-BY-4.0) provides clear terms for reuse and attribution.
• Last update timestamp (2026-05-05 17:31:05) is precisely recorded.

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

figshare, authored by Lukas Waltenberger.

Collection Method

Likely generated from the analysis of Bayesian models for sex estimation.

Freshness

Last updated 2026-05-05 17:31:05; freshness should be verified.