Variable importance-weighted Random Forests (viRandomForests) is an R package, which samples features according to their variable importance scores, and then selects the best split from the randomly selected features, to improved prediction accuracy in the presence of weak signals and large noises.
active 2025-03-02 → 2025-03-02 (UTC)
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