RF++ is a Random Forest-based classifier. It can classify cluster-correlated non-independent data in a statistically valid fashion. RF++ also identifies important variables (biomarkers) in datasets with large numbers of variables and few subjects.

Project Samples

Project Activity

See All Activity >

License

GNU General Public License version 2.0 (GPLv2)

Follow RF++

RF++ Web Site

Other Useful Business Software
Build Securely on AWS with Proven Frameworks Icon
Build Securely on AWS with Proven Frameworks

Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Download Now
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of RF++!

Additional Project Details

Operating Systems

Linux, Windows

Intended Audience

Science/Research

User Interface

wxWidgets

Programming Language

C++

Related Categories

C++ Bio-Informatics Software, C++ Medical Software

Registered

2007-04-11