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

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.

Version3.9.6 LicenseGNU General Public License version 3.0 winget • nullsoft Archx86
classificationclusteringdata-miningmachine-learningmlregression

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.

Winget Install — click to copy
winget install UniversityOfWaikato.Weka

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 (1809+) and Windows 11.
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 or the direct download link on this page.
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.