Variable selection from random forests using both backwards variable elimination (for the selection of small sets of non-redundant variables) and selection based on the importance spectrum (somewhat similar to scree plots; for the selection of large, potentially highly-correlated variables). Main applications in high-dimensional data (e.g., microarray data, and other genomics and proteomics applications).
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curl https://depscope.dev/api/check/conda/r-varselrfFirst published · 2021-05-24 23:21:51.746000+00:00
Last updated · 2026-01-31 01:12:51.991000+00:00