Landmark Reclassification Accuracy Scores After Different Alignment Methods

A small dataset (9.5 KB) contains reclassification accuracy scores for biological specimens after different landmark alignment procedures. The data was authored by Jean-Pierre Dujardin and last updated on June 2, 2026. Scores are presented for least-square alignment, resistant-fit alignment, and random search, with adjustments for chance.

Use Cases

• Compare reclassification accuracy based on least-square alignment (LS) scores.
• Compare reclassification accuracy based on resistant-fit alignment (RF) scores.
• Compare reclassification accuracy based on random search (Ra) scores.
• Analyze the effect of chance adjustment on reported accuracy metrics.
• Evaluate operator performance (J, T, B, TA) and sex differences (M, F) in landmark classification.

Strengths

• Data is openly licensed under CC-BY-4.0.
• The dataset provides scores for multiple alignment methods (LS, RF, Ra) and chance adjustments.
• It includes results for multiple biological species (e.g., sawadwongporni, pseudowillmori).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description references sample sizes in a previous document not included here.

Provenance

Source

figshare

Collection Method

Likely contains computed accuracy scores from a morphometric analysis.

Freshness

Last updated 2026-06-02 17:41:50; freshness should be verified.