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
Arch
x86
Package ID
UniversityOfWaikato.Weka
classificationclusteringdata-miningmachine-learningmlregression

// install via winget

Command Prompt & PowerShell click to copy
winget install UniversityOfWaikato.Weka

// direct download

Download Installer

// 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 PowerShell or Windows Terminal and run: winget install UniversityOfWaikato.Weka. Winget ships with Windows 10 (1809+) and Windows 11 — no additional install needed.
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 distributed 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 PowerShell or Windows Terminal to update Weka to the latest available version.
What architecture does Weka support?
The listed installer targets the x86 architecture. See the publisher’s documentation for full compatibility details.