Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code.

Features

  • machine learning
  • data mining
  • preprocessing
  • classification
  • regression
  • clustering
  • association rules
  • attribute selection
  • experiments
  • workflow
  • visualization

Project Samples

Project Activity

See All Activity >

Categories

Machine Learning

License

GNU General Public License version 3.0 (GPLv3)

Follow Weka

Weka Web Site

Other Useful Business Software
Auth for GenAI | Auth0 Icon
Auth for GenAI | Auth0

Enable AI agents to securely access tools, workflows, and data with fine-grained control and just a few lines of code.

Easily implement secure login experiences for AI Agents - from interactive chatbots to background workers with Auth0. Auth for GenAI is now available in Developer Preview
Try free now
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
49
1
1
0
0
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5

User Reviews

  • Very Professional
  • no hablo espanol I don't speak english either
  • good
  • excellent tool. Sir, In earlier version we had artificial immune algorithms AIRS algorithms and Immunos algorithms and neural network algorithms , with Welaclassalgo do we have same algorithms in 3.8.4 version.
  • It is very efficient
Read more reviews >

Additional Project Details

Intended Audience

Developers, End Users/Desktop

User Interface

Java Swing, Command-line

Programming Language

Java

Related Categories

Java Machine Learning Software

Registered

2000-04-27