svm-model-importance-analysis
Use when you need a standardized R CLI workflow to run two-class SVM-RFE feature ranking on an expression-like matrix, choose an informative feature count from cross-validated error, and generate reproducible ranking and error plots. NOT for regression, multi-class classification, missing-value imputation, or remote data fetching.
What is this resource?
Use when you need a standardized R CLI workflow to run two-class SVM-RFE feature ranking on an expression-like matrix, choose an informative feature count from cross-validated error, and generate reproducible ranking and error plots. NOT for regression, multi-class classification, missing-value imputation, or remote data fetching.
Review the original project for installation steps, licenses, compatibility and updates. This directory provides discovery links, not downloadable or verified code.
Installation
For repositories supported by the Skills CLI, you can typically start with:
npx skills add aipoch/medical-research-skillsCheck the repository instructions and select the intended skill before installing. This command may not apply to every source.
Safety & attribution
This is an external resource, not independently security-audited by this directory. Inspect permissions, scripts and changes before using it with your files or accounts.