Weka (Waikato Environment for Knowledge Analysis) is a suite of machine learning software written in Java, developed at the University of Waikato, New Zealand. It contains a collection of visualization and algorithms for data analysis and predictive modeling. Weka supports several standard data mining tasks, including data preprocessing, classification, regression, clustering, association rule mining, and visualization. It is commonly used in research, education, and real-world applications for tasks like data mining, machine learning experimentation, and building predictive models.
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