Weka

by Machine Learning Group, University of Waikato, Hamilton, NZ

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.

Version
3.9.6
License
GNU General Public License version 3.0
Installer
nullsoft
Architecture
x86
Package ID
UniversityOfWaikato.Weka
classificationclusteringdata-miningmachine-learningmlregression
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About Weka

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.

Frequently Asked Questions

How do I install Weka using winget?
Open Windows Terminal or PowerShell and run: winget install UniversityOfWaikato.Weka. Winget is built into Windows 10 (version 1809+) and Windows 11 — no separate download required.
What is Weka?
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.
Is Weka free to download?
Weka is available under the GNU General Public License version 3.0 license. Use the winget command above or click the download button to get the installer directly from the publisher.
How do I update Weka with winget?
Run winget upgrade UniversityOfWaikato.Weka in Windows Terminal or PowerShell to update Weka to the latest available version.
What Windows versions support Weka?
The installer for Weka targets the x86 architecture. Check the publisher’s documentation for minimum Windows version requirements. Winget itself requires Windows 10 version 1809 or later.