Leaps is a method for performing best subset selection in regression analysis. The dataset likely contains code or results related to the algorithm developed by Thomas Lumley based on original Fortran code by Alan Miller. It is hosted on the paperswithcode platform, which aggregates resources for artificial intelligence and machine learning research.
Use Cases
- Benchmarking feature selection algorithms against best subset selection (inferred from domain, verify after download)
- Teaching statistical methods for model selection in regression (inferred from domain, verify after download)
- Developing efficient wrappers for high-dimensional regression tasks (inferred from domain, verify after download)
Strengths
- Published on paperswithcode, a platform for AI/ML resources.
- Based on established Fortran code by Alan Miller, adapted by Thomas Lumley.
Limitations
- Metadata is minimal; actual content requires verification after download.
- Row count, file format, and column definitions are unknown.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- paperswithcode