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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 --id UniversityOfWaikato.Weka --exact --version 3.9.6Run in Command Prompt, PowerShell, or Windows Terminal. Prompts for any agreements.
Weka uses EXE (NSIS). The silent install switches are /S.
installer.exe /S
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| Architecture | Type | Scope | Install | Download |
|---|---|---|---|---|
| x86 | EXE NSIS | - | Direct |
Copy a command tailored to that specific architecture, type, and scope - useful when winget would otherwise pick a different default.
No known CVEs for Weka.
Coverage is best-effort and depends on a winget package mapping to an NVD CPE entry. Absence here is not a guarantee of safety.
More from Machine Learning Group, University of Waikato, Hamilton, NZ or browse classification, clustering, data-mining.