IVMD-CNN-SVM-LSCV-B vs. Bootstrap: Interval Prediction Performance Comparison

A comparison of interval prediction performance between the IVMD-CNN-SVM-LSCV-B and Bootstrap methods under different confidence levels. The dataset is 5.5 KB in size, stored in XLS format, and was authored by Hong Ma. It was last updated on March 17, 2026.

Use Cases

• Benchmarking the IVMD-CNN-SVM-LSCV-B method against Bootstrap for producing prediction intervals.
• Quantifying predictive uncertainty in stationary runoff series based on the described model comparison.
• Evaluating the performance of kernel density estimation and bandwidth selection methods for prediction error distribution.
• Analyzing the trade-off between prediction interval width and confidence level using the provided results.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is small (5.5 KB), facilitating quick download and inspection.

Limitations

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

Provenance

Source

figshare

Freshness

Last updated 2026-03-17 17:37:35; freshness should be verified.