Search Results for "random forest"
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Showing 2 open source projects for "random forest"
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RF++ is a Random Forest-based classifier. It can classify cluster-correlated non-independent data in a statistically valid fashion. RF++ also identifies important variables (biomarkers) in datasets with large numbers of variables and few subjects.
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The package implements a variety of tools for categorization of multivariate data such as boosted decision trees, bagging and random forest, bump hunting (PRIM), a multi-class learner and others.
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