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

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Categories

Machine Learning

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User Reviews

  • Necessary software.

  • while i am new to machine learning i managed to produce some code that classified data using the MultilayerPerceptron classifier. it was useful exercise for me, as i got motivated to learn more of the machine learning theories, and pay attention to error assessment, classification algorithms & attribute weighting.

  • Easy to use. Comprehensive.

  • This project simply blows the mind! I really like it.

  • great

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Additional Project Details

Intended Audience

Developers, End Users/Desktop

User Interface

Java Swing, Command-line

Programming Language

Java

Registered

2000-04-27