Weka is a collection of machine learning algorithms for data mining tasks; with its own GUI.
(The application is named after a flightless bird of New Zealand that is very inquisitive.)
The algorithms can either be applied directly to a dataset or called from your own Java code.
Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
Need an alternative to WEKA? Read on. We've looked at the best WEKA alternatives available for Windows, Mac and Android.
KEEL is an open source (GPLv3) Java software tool to assess evolutionary algorithms for Data Mining problems including regression, classification, clustering, pattern...
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