regression-analysis-modeling
regression-analysis-modeling is a Model training & evaluation skill for AI agents, published by liangdabiao in the claude-data-analysis-ultra-main repository on GitHub. Skillspace rates regression-analysis-modeling B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Perform comprehensive regression analysis and predictive modeling using linear regression, decision trees, and random forests. Use when you need to predict continuous values like housing prices, sales forecasts, demand predictions, or any numerical target variables. Includes automated feature engineering, model comparison, and visualization with Chinese language support.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 255
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 1 collections
- Scope
- Portable: works in any project. General regression modelling workflow on any dataset
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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