Processed Features for Machine Learning Models

Processed features used in machine-learning models, authored by Hao Li and last updated on April 28, 2026. The dataset is a 2.4 MB XLSX file available under a CC-BY-4.0 license on figshare.

Use Cases

• Training supervised learning models based on the processed features.
• Benchmarking feature engineering pipelines against a provided processed set.
• Analyzing the impact of processed features on model performance.

Strengths

• File size is precisely 2.4 MB, indicating a small, manageable dataset.
• Dataset has a clear, permissive license (CC-BY-4.0).
• Update timestamp is provided (2026-04-28 17:49:28).

Limitations

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

Provenance

Source

figshare

Freshness

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