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Analyzed 25 days ago. based on code collected 7 months ago.

Project Summary

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

Tags

algorithms analysis api artificial_intelligence association_mining association_rules business_intelligence classifiers clustering data data_analysis data_mining dimensionality_reduction framework intelligent_data_analysis java java_data_mining kdd knowledge_discovery library machine_learning packagemanager regression research timeseries

In a Nutshell, WEKA...

This Project has No vulnerabilities Reported Against it

Did You Know...

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    data presented on the Open Hub is available through our API

Languages

Languages?height=75&width=75
Java
86%
XML
12%
5 Other
2%

30 Day Summary

Jan 19 2018 — Feb 18 2018

12 Month Summary

Feb 18 2017 — Feb 18 2018
  • 274 Commits
    Down -333 (54%) from previous 12 months
  • 3 Contributors
    Down 0 (0%) from previous 12 months

Ratings

15 users rate this project:
3.93333
   
3.9/5.0
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