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multiBoostAB

Class for boosting a classifier using the MultiBoosting method. MultiBoosting is an extension to the highly successful AdaBoost technique for forming decision committees. MultiBoosting can be viewed as combining AdaBoost with wagging. It is able to harness both AdaBoost's high bias and variance reduction with wagging's superior variance reduction. Using C4.5 as the base learning algorithm, Multi-boosting is demonstrated to produce decision committees with lower error than either AdaBoost or wagging significantly more often than the reverse over a large representative cross-section of UCI data sets. It offers the further advantage over AdaBoost of suiting parallel execution. For more information, see Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
http://weka.sourceforge.net/doc.packages/multiBoostAB
GNU General Public License 3
University of Waikato, Hamilton, NZ
Shane Butler Eibe Frank Len Trigg
Files download
File Operation
multiBoostAB-1.0.2.jar download
multiBoostAB-1.0.2.pom download
multiBoostAB-1.0.2-sources.jar download
Apache Maven
<dependency>
  <groupId>nz.ac.waikato.cms.weka</groupId>
  <artifactId>multiBoostAB</artifactId>
  <version>1.0.2</version>
</dependency>
Gradle Groovy
implementation 'nz.ac.waikato.cms.weka:multiBoostAB:1.0.2'
Gradle Kotlin
implementation("nz.ac.waikato.cms.weka:multiBoostAB:1.0.2")
Scala SBT
libraryDependencies += "nz.ac.waikato.cms.weka" % "multiBoostAB" % "1.0.2"
Groovy Grape
@Grapes(
  @Grab(group='nz.ac.waikato.cms.weka', module='multiBoostAB', version='1.0.2')
)
Apache Ivy
<dependency org="nz.ac.waikato.cms.weka" name="multiBoostAB" rev="1.0.2" />
Leiningen
[nz.ac.waikato.cms.weka/multiBoostAB "1.0.2"]
Apache Buildr
'nz.ac.waikato.cms.weka:multiBoostAB:jar:1.0.2'