fast-random-forest

What is FastRandomForest? FastRandomForest is a re-implementation of the Random Forest classifier (RF) for the Weka environment that brings speed and memory use improvements over the original Weka RF. Speed gains depend on many factors, but a 2.5x increase over RF in Weka 3-7-10 is not uncommon. For detailed tests of speed and classification accuracy, as well as description of optimizations in the code, please refer to the FastRandomForest wiki at http://code.google.com/p/fast-random-forest/w or email the author at fran.supekATirb.hr. Unrelated to the FastRF project, an MPI-enabled version of the Random Forest algorithm written in Fortran 90 is available from http://parf.googlecode.com. License This program is free software; you can redistribute it and/or modify it under the terms o