rf-model-importance-analysis
byaipoch· 77 skills
Use when you need a standardized R CLI workflow to train a two-class random forest model from an expression-like feature matrix, rank variable importance, and generate reproducible error and importance plots. NOT for regression tasks, multi-class classification, missing-value imputation, preprocessing, or remote data fetching.
How to install rf-model-importance-analysis?
aipoch/medical-research-skills/rf-model-importance-analysis
$npx -y skills add aipoch/medical-research-skills --skill rf-model-importance-analysisInstalls into the current project.
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Run `npx skills use "https://github.com/aipoch/medical-research-skills" --skill "aipoch/medical-research-skills/rf-model-importance-analysis"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/aipoch/medical-research-skills" that are relevant to the current task. Run `npx skills add "https://github.com/aipoch/medical-research-skills"` and select the relevant skills, then follow their instructions.
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