Detection Performance with Statistical Validation (5-Fold CV)

A dataset presenting detection performance metrics with statistical validation using 5-fold cross-validation. The results are reported as mean values with standard deviations. The dataset was authored by Adel Alshamrani and last updated on June 2, 2026.

Use Cases

• Benchmarking detection algorithms based on reported cross-validated performance metrics.
• Analyzing the variance and stability of model performance based on the reported standard deviations.
• Validating statistical significance in detection tasks using the provided 5-fold cross-validation results.

Strengths

• Performance metrics are statistically validated using a 5-fold cross-validation method.
• Results include standard deviation, providing a measure of variance.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Adel Alshamrani via figshare

Freshness

Last updated 2026-06-02 17:27:31; freshness should be verified.