Bayesian Network Classifiers in Java

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Analyzed about 1 year ago. based on code collected about 1 year ago.

Project Summary

jBNC is a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial intelligence, machine learning, and data mining applications.

In a Nutshell, Bayesian Network Classifiers in Java...

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has had 281 commits made by 2 contributors
representing 54,086 lines of code
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is mostly written in Java
with an average number of source code comments
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has a well established, mature codebase
maintained by nobody
with stable Y-O-Y commits
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took an estimated 13 years of effort (COCOMO model)
starting with its first commit in April, 2002
ending with its most recent commit over 17 years ago

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Project Security

Vulnerabilities per Version ( last 10 releases )

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Project Vulnerability Report

Security Confidence Index

Poor security track-record

Favorable security track-record

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Many reported vulnerabilities

Few reported vulnerabilities

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