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Analyzed 3 days ago. based on code collected 3 days 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

Project Security

Vulnerabilities per Version ( last 10 releases )

There are no reported vulnerabilities

Project Vulnerability Report

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

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About Project Security

Languages

Java
84%
XML
12%
12 Other
4%

30 Day Summary

Dec 29 2022 — Jan 28 2023

12 Month Summary

Jan 28 2022 — Jan 28 2023
  • 9 Commits
    Down -104 (92%) 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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