Model 2 Data Archive: Feature Selection and Regression Results

A compressed archive containing input data, feature selection outputs, cluster solutions, bootstrap stability metrics, and regression results for recursive feature addition Model 2. The 445.3 KB ZIP file was authored by Rachel Mac Cann and last updated on 2026-04-27. It is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Compare feature selection algorithms based on the provided feature selection outputs.
• Evaluate model stability using the included bootstrap stability metrics.
• Analyze regression performance based on the stored regression results.
• Reproduce or validate the recursive feature addition methodology described for Model 2.

Strengths

• Contains multiple related artifacts (input data, outputs, metrics) in a single 445.3 KB archive.
• Includes bootstrap stability metrics, which can help assess model reliability.
• Released under a permissive CC-BY-4.0 license, facilitating reuse.

Limitations

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

Provenance

Source

Rachel Mac Cann via figshare.

Collection Method

Likely generated as part of a machine learning modeling process.

Time Range

null

Freshness

Last updated 2026-04 27 17:33:06; freshness should be verified.

Geography

null