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Using Weka in Java for Data Mining by kilirushi is a document available to read on EtoBox.

What is Using Weka in Java for Data Mining about?

The document describes how to use the Weka machine learning toolkit from Java code. It discusses the key classes used, including Attribute for handling attributes, Instance for single instances, Instances for datasets, and Classifier for building and using classification models. It provides code examples for constructing a weather classification dataset and classifier in Java using Weka, including defining attributes, adding instances, building a J48 decision tree model, and classifying new instances.

Author

kilirushi

Language

EN