The data complexity library, DCoL, is a machine learning software that implements all metrics to characterize the apparent complexity of classification problems. The code is implemented in C++ and can be run on multiple platforms.

Project Activity

See All Activity >

Categories

Machine Learning

License

GNU General Public License version 2.0 (GPLv2)

Follow dcol

dcol Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of dcol!

Additional Project Details

Intended Audience

Other Audience

User Interface

Console/Terminal

Programming Language

C++

Related Categories

C++ Machine Learning Software

Registered

2009-05-23