logo DTNB

Class for building and using a decision table/naive bayes hybrid classifier. At each point in the search, the algorithm evaluates the merit of dividing the attributes into two disjoint subsets: one for the decision table, the other for naive Bayes. A forward selection search is used, where at each step, selected attributes are modeled by naive Bayes and the remainder by the decision table, and all attributes are modelled by the decision table initially. At each step, the algorithm also considers dropping an attribute entirely from the model. For more information, see: Mark Hall, Eibe Frank: Combining Naive Bayes and Decision Tables. In: Proceedings of the 21st Florida Artificial Intelligence Society Conference (FLAIRS), 318-319, 2008.

homepage: weka.sourceforge.net/doc.packages/DTNB
fresh index:
last release: 4 years ago, first release: 6 years ago
packaging: jar
get this artifact from: central
see this artifact on: search.maven.org

How much is this artifact used as a dependency in other Maven artifacts in Central repository and GitHub:
How many Android projects use it:
How is this artifact used:

© Jiri Pinkas 2015 - 2018. All rights reserved. Admin login To submit bugs / feature requests please use this github page
related: JavaVids | Top Java Blogs | Java školení | 4npm - npm search | monitored using: sitemonitoring
Apache and Apache Maven are trademarks of the Apache Software Foundation. The Central Repository is a service mark of Sonatype, Inc.