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Weka is a collection of machine learning algorithms for data mining tasks implemented in java

Weka is a collection of machine learning algorithms for data mining tasks implemented in java. 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.

Version: 3.6.4 License: GPL GitHub
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Builder Build Number Start Time Elapsed Time Watcher Build Status
10.15 16080 2019-12-23 21:13:35 0:02:45 1677 failed install-port