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Analyzed almost 2 years ago. based on code collected over 5 years ago.

Project Summary

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

Tags

classification classifier java randomforest weka

In a Nutshell, fast-random-forest...

GNU General Public License v2.0 or later
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These details are provided for information only. No information here is legal advice and should not be used as such.

Project Security

Vulnerabilities per Version ( last 10 releases )

There are no reported vulnerabilities

Project Vulnerability Report

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

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About Project Security

 Code locations have been removed since last analysis

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.

Languages

Languages?height=75&width=75
Java
98%
2 Other
2%

30 Day Summary

Apr 9 2016 — May 9 2016

12 Month Summary

May 9 2015 — May 9 2016
  • 0 Commits
    Down -1 (100%) from previous 12 months
  • 0 Contributors
    Down -1 (100%) from previous 12 months