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SPORF -- sparse projection oblique randomer forests (aka RerF, Randomer Forest or Random Projection Forests) -- is an algorithm developed by Tomita et al. (2016) which is similar to Random Forest-Random Combination (Forest-RC) developed by Breiman (2001).

The difference between the two algorithms is where the random linear combinations occur: Forest-RC combines features at the tree level whereas RerF combines features at the node level.


  • Memory optimized C++ implementation of RandomForest and RerF.
  • Python bindings to packedForest.
  • The R and C++ implemetation of RerF.