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

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Categories

Machine Learning

License

GNU General Public License version 3.0 (GPLv3)

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Weka Web Site

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User Reviews

  • 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
  • Complete suite of ML algorithms
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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