Análisis de variables latentes y selección por correlación
Análisis de variables latentes y selección por correlación is a Statistical modelling skill for AI agents, published by THUIR in the MemoryBench repository on GitHub. Skillspace rates Análisis de variables latentes y selección por correlación D (69/100) and it passed the safety scan; the rating is based on static analysis only.
Ejecuta análisis estadístico de variables latentes siguiendo un flujo de trabajo específico (numéricas primero, categóricas después) y aplicando reglas de selección de variables basadas en un umbral de correlación de 0.7.
- Grade
- D
- Quality
- 69 / 100
- Safety
- Passed
- GitHub stars
- 84
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 91 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 1 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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