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. jBNC is primarily intended as a library for creation of Bayesian Classifier networks. Several algorithms for creation of networks are included. To aid testing the quality of classifier network a couple of simple command line tools for training and testing are included, see section TOOLS for more details. There is also a separate package called jBNC-WEKA that integrates jBNC with WEKA (Waikato Environment for Knowledge Analysis http://www.cs.waikato.ac.nz/~ml). jBNC-WEKA allows creation of jBNC classifiers from within WEKA, in particular, using WEKA s graphical user interface. For more info see jBNC homepage.

jBNC\cpu.arff
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