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Ranger is a fast implementation of random forest (Breiman 2001) or recursive partitioning, particularly suited for high dimensional data. Classification, regression, probability estimation and survival forests are supported. Classification and regression forests are implemented as in the original Random Forest (Breiman 2001), survival forests as in Random Survival Forests (Ishwaran et al. 2008). For probability estimation forests see Malley et al. (2012).
7 lines
460 B
Text
7 lines
460 B
Text
Ranger is a fast implementation of random forest (Breiman 2001) or
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recursive partitioning, particularly suited for high dimensional
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data. Classification, regression, probability estimation and survival
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forests are supported. Classification and regression forests are
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implemented as in the original Random Forest (Breiman 2001), survival
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forests as in Random Survival Forests (Ishwaran et al. 2008). For
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probability estimation forests see Malley et al. (2012).
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