Performance Metrics for ML Models on Chicken Respiratory Microbiota Data

Additional file 4 from a study on respiratory microbiota maturation in chickens. The 34.5 KB Excel file contains performance metrics for machine learning architectures evaluated on the Consensus Core, with results obtained via 10-fold stratified cross-validation. The dataset was authored by Alejandro Moreno-León and last updated on 2026-04-27.

Use Cases

• Benchmarking machine learning architectures based on the reported performance metrics.
• Comparing model performance for age prediction tasks based on microbiota data mentioned in the description.
• Analyzing the stability of model results based on the 10-fold cross-validation methodology.
• Selecting optimal models for biological prediction tasks based on the comparative metrics.

Strengths

• Performance metrics are derived from a 10-fold stratified cross-validation, suggesting a robust evaluation method.
• File size is 34.5 KB, indicating a compact and focused dataset.
• License is CC-BY-4.0, permitting broad reuse with attribution.

Limitations

• Row count and specific column names are unknown, which limits suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (34.5 KB), indicating limited scope.

Provenance

Source

figshare, authored by Alejandro Moreno-León.

Collection Method

Results were obtained via 10-fold stratified cross-validation on the Consensus Core.

Time Range

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Freshness

Last updated 2026-04-27 03:51:41; freshness should be verified.

Geography

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