RAVV Model Results: 500 Parameter Combinations for Bat NPC1 Binding

Model results for evaluating RAVV binding strength to bat NPC1. The dataset includes results for 500 sets of parameter combinations, evaluation metrics for 100 bootstrap iterations, and variable importance and SHAP values. It was authored by Adrian Castellanos and last updated on May 20, 2026.

Use Cases

• Benchmarking model performance based on the evaluation metrics for 100 bootstraps
• Analyzing feature importance for virus binding based on the variable importance results
• Interpreting model predictions based on SHAP values for individual variables

Strengths

• Includes results for 500 distinct parameter combinations, providing a broad exploration of the model space.
• Contains 100 bootstrap iterations for the chosen parameter set, which may help assess model stability.
• Provides multiple analysis layers, including evaluation metrics, variable importance, and SHAP values.

Limitations

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

Provenance

Source

figshare

Collection Method

Computational modeling results, likely from a machine learning or statistical analysis.

Freshness

Last updated 2026-05-20 13:42:53; freshness should be verified.