Weka Desktop 3.8.7 for Mac
Mac UtilitiesWeka is the long running machine learning workbench from the University of Waikato. It gathers a large collection of algorithms for classification, regression, clustering and association rules behind a graphical interface, so you can load data, prepare it, train models and compare results without writing code. It suits students, teachers and data analysts who want a practical way to learn machine learning on a Mac.
Key Features
- Load data sets and prepare them with a wide range of filters
- Train and test classifiers, clusterers and regression models in the Explorer
- Compare model results with clear evaluation output and error measures
- Visualise data and results with built in plotting tools
- Add new algorithms and tools through the package manager
How to Download
- Use the download button on this page to get the Mac disk image for the stable release.
- Download from the official site for the Waikato download pages and other platform options.
- Open the disk image, drag Weka into Applications, and launch it to open the Explorer.
System Requirements
Weka is written in Java, and the Mac disk images from Waikato include a Java runtime, so most users need not install Java separately. Needs are otherwise modest. Check About This Mac to confirm your system first.
FAQs
Is Weka free to use?
Yes. Weka is free software under the GNU General Public License, widely used in teaching and research around the world.
Do I need to write code to use Weka?
No. The Explorer interface covers loading data, choosing algorithms and reading results. Scripting options also exist for people who want them later.
What file format does Weka use for data?
Its native format is ARFF, a text format describing attributes and data together. It can also import common formats such as CSV through its converters.
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