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svm-model-importance-analysis

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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.

When to use

• two-class SVM-RFE feature ranking
• expression-like matrix analysis
• choose informative feature count from cross-validated error
• generate reproducible ranking plots
• generate reproducible error plots

When not to use

• regression
• multi-class classification
• missing-value imputation
• remote data fetching

Skill page

Source