Model Validation Results: Error Metrics and Prediction Interval Coverage

Validation results for a test set across different modeling approaches. The dataset includes metrics such as Mean Absolute Relative Error (MARE), Standardized Absolute Prediction Error (SAPE), prediction interval coverage, and Root Mean Square Error (RMSE). It was authored by Hannah Comiskey and last updated on April 24, 2026.

Use Cases

• Compare model performance based on error metrics like MARE and RMSE mentioned in the description
• Evaluate prediction interval reliability based on coverage rates for 80% and 95% intervals
• Benchmark modeling approaches like the Multivariate intercept P-spline model against alternatives

Strengths

• Includes multiple validation metrics (MARE, SAPE, Coverage, RMSE) for comparative analysis
• File size is 5.5 KB, indicating a concise and focused dataset

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download

Provenance

Source

Hannah Comiskey

Freshness

Last updated 2026-04-24 17:53:05