About Weka
Weka is a collection of machine-learning algorithms for solving data-mining problems. Users can apply algorithms directly to datasets or call them from Java code, supporting both interactive analysis and integration into custom applications. The toolkit is written in Java and runs across platforms. Its algorithm collection supports examining data and building models for practical problems, while its Java interface allows developers to incorporate those methods into software. Weka is intended for researchers, students, and developers working in machine learning or data mining. It provides algorithmic tools that can be used directly or accessed programmatically. This supports both practical data mining and experimentation.
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