Description:

Oblique Random Forests from Recursive Linear Model Splits: Random forest with oblique decision trees for binary classification tasks. Discriminative node models in the tree are based on: ridge regression, partial least squares regression, logistic regression, linear support vector machines, or random coefficients.

Changes to previous version:

Fetched by r-cran-robot on 2012-08-01 00:00:07.607823

BibTeX Entry: Download

Supported Operating Systems: Agnostic

Tags: R-Cran

Archive: download here

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