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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
10.12 143825 2021-04-12 9:36:33 0:00:46 43216 failed install-port
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11.arm64 14126 2021-03-18 11:45:44 0:00:22 3858 failed install-port
10.15 23358 2020-02-03 22:10:55 0:03:59 2777 failed install-port
10.13 77777 2020-02-03 15:11:31 0:03:10 22505 failed install-port
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10.7 17072 2020-02-03 13:40:48 0:03:02 3949 failed install-port
10.15 16080 2019-12-23 21:13:35 0:02:45 1677 failed install-port