Detailed Indicators for Five-Fold Cross-Validation

5.5 KB of detailed indicators for five-fold cross-validation, authored by Wen Sun. The dataset was last updated on May 28, 2026, and is available in XLS format under a CC-BY-4.0 license.

Use Cases

• Compare model performance across folds based on detailed indicators
• Analyze the stability of a machine learning model using cross-validation results
• Benchmark new algorithms against standard cross-validation metrics

Strengths

• The dataset is licensed under CC-BY-4.0, allowing for flexible reuse.
• It is a small file (5.5 KB), facilitating quick download and inspection.

Limitations

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

Provenance

Source

figshare

Freshness

Last updated 2026-05-28 17:36:34; freshness should be verified.