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
Component Content Management System for Software Documentation Icon
Component Content Management System for Software Documentation

Great tool for serious technical writers

Paligo is an end-to-end Component Content Management System (CCMS) solution for technical documentation, policies and procedures, knowledge management, and more.
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
48
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

Be the first to post a review of Weka!

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