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averagedOneDependenceEstimators

AODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that have weaker (and hence less detrimental) independence assumptions than naive Bayes. The resulting algorithm is computationally efficient while delivering highly accurate classification on many learning tasks. For more information, see G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
http://weka.sourceforge.net/doc.packages/averagedOneDependenceEstimators
GNU General Public License 3
University of Waikato, Hamilton, NZ
Janice Boughton
Files download
File Operation
averagedOneDependenceEstimators-1.0.1.jar download
averagedOneDependenceEstimators-1.0.1.pom download
averagedOneDependenceEstimators-1.0.1-sources.jar download
Apache Maven
<dependency>
  <groupId>nz.ac.waikato.cms.weka</groupId>
  <artifactId>averagedOneDependenceEstimators</artifactId>
  <version>1.0.1</version>
</dependency>
Gradle Groovy
implementation 'nz.ac.waikato.cms.weka:averagedOneDependenceEstimators:1.0.1'
Gradle Kotlin
implementation("nz.ac.waikato.cms.weka:averagedOneDependenceEstimators:1.0.1")
Scala SBT
libraryDependencies += "nz.ac.waikato.cms.weka" % "averagedOneDependenceEstimators" % "1.0.1"
Groovy Grape
@Grapes(
  @Grab(group='nz.ac.waikato.cms.weka', module='averagedOneDependenceEstimators', version='1.0.1')
)
Apache Ivy
<dependency org="nz.ac.waikato.cms.weka" name="averagedOneDependenceEstimators" rev="1.0.1" />
Leiningen
[nz.ac.waikato.cms.weka/averagedOneDependenceEstimators "1.0.1"]
Apache Buildr
'nz.ac.waikato.cms.weka:averagedOneDependenceEstimators:jar:1.0.1'