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Package: weka (3.6.14-3)

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weka

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Maintainer:

Original Maintainers:

  • Debian Java Maintainers (Mail Archive)
  • Torsten Werner
  • tony mancill

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Machine learning algorithms for data mining tasks

Weka is a collection of machine learning algorithms in Java that can either be used from the command-line, or called from your own Java code. Weka is also ideally suited for developing new machine learning schemes.

Implemented schemes cover decision tree inducers, rule learners, model tree generators, support vector machines, locally weighted regression, instance-based learning, bagging, boosting, and stacking. Also included are clustering methods, and an association rule learner. Apart from actual learning schemes, Weka also contains a large variety of tools that can be used for pre-processing datasets.

This package contains the binaries and examples.

Other Packages Related to weka

  • depends
  • recommends
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  • sug: libsvm-java
    Java API to support vector machine library (libsvm.jar)

Download weka

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Architecture Package Size Installed Size Files
all 6,462.8 kB13119 kB [list of files]