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 5-10x increase over Weka 3-6-1 on a quad core computer is not uncommon, along with a 1.5x reduction in memory use.
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.supek\AT\irb.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.
LicenseThis program is free soft
These details are provided for information only. No information here is legal advice and should not be used as such.
There are no reported vulnerabilities
At one point, Open Hub analyzed source code for this project based on code location(s) available at that time. Since then, the code locations have been removed.