Machine Learning Model Performance Evaluation Using Ten-Fold Cross-Validation

Hao Li published this dataset on figshare in April 2026. It contains performance evaluation results for different machine-learning models, likely including metrics like accuracy or F1-score. The dataset is stored in a 21.5 KB XLS file.

Use Cases

• Benchmarking model performance based on cross-validation results mentioned in the description
• Comparing the efficacy of different machine learning algorithms based on evaluation metrics
• Teaching or demonstrating ten-fold cross-validation methodology using concrete results

Strengths

• Dataset is openly licensed under CC-BY-4.0, allowing for broad reuse and modification.
• File size is 21.5 KB, ensuring quick download and easy inspection.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality and completeness require manual inspection.

Provenance

Source

Hao Li via figshare.

Collection Method

Likely generated from experimental evaluation of machine learning models.

Time Range

Publication date is April 2026; experimental time range is unknown.

Freshness

Last updated 2026-04-28 17:49:48; freshness should be verified.

Geography

Geographic scope is not specified.