Performance Comparison of ViralMultiNet vs Baseline Models

FuGuo Liu published a performance comparison between the ViralMultiNet model and baseline models on figshare in June 2026. The dataset is a 5.5 KB Excel file containing statistical results, likely including metrics and significance tests. The comparison indicates statistically significant differences (p < 0.01) between the models.

Use Cases

• Benchmarking new machine learning models based on the performance comparison results.
• Evaluating statistical significance in model improvements based on the reported p-value.
• Analyzing comparative metrics for model selection based on the described comparison.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• The comparison includes a statistically significant result (p < 0.01).
• File size is small (5.5 KB), facilitating quick download and inspection.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Freshness

Last updated 2026-06-03 17:45:04; freshness should be verified.