Statistical Comparison of 10 Repetition-Wise Mean Accuracies from Cross-Validation

5.5 KB of statistical comparison data derived from 10 repetition-wise mean accuracies. The data was generated using a 10 × 5 repeated stratified cross-validation procedure and authored by Divya Kesavulu. It was last updated on April 21, 2026, and is available under a CC-BY-4.0 license.

Use Cases

• Perform statistical hypothesis testing based on mean accuracies from repeated cross-validation.
• Compare the performance of multiple machine learning models based on the described accuracy metrics.
• Analyze the stability and variance of model performance across different cross-validation folds.
• Benchmark new algorithms against established results using the provided statistical comparison framework.

Strengths

• Data is derived from a structured 10 × 5 repeated stratified cross-validation procedure.
• The dataset is small (5.5 KB), making it quick to download and inspect.
• It is openly licensed under CC-BY-4.0, allowing for broad reuse.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The description is minimal, providing no details on the specific models or data being compared.

Provenance

Source

figshare

Collection Method

Likely generated from computational experiments comparing machine learning models.

Time Range

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Freshness

Last updated 2026-04-21 17:49:04; freshness should be verified.

Geography

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