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userClassifier

Interactively classify through visual means. You are Presented with a scatter graph of the data against two user selectable attributes, as well as a view of the decision tree. You can create binary splits by creating polygons around data plotted on the scatter graph, as well as by allowing another classifier to take over at points in the decision tree should you see fit. For more information see: Malcolm Ware, Eibe Frank, Geoffrey Holmes, Mark Hall, Ian H. Witten (2001). Interactive machine learning: letting users build classifiers. Int. J. Hum.-Comput. Stud. 55(3):281-292.
http://weka.sourceforge.net/doc.packages/userClassifier
GNU General Public License 3
University of Waikato, Hamilton, NZ
Malcolm Ware
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Files download
File Operation
userClassifier-1.0.3.jar download
userClassifier-1.0.3.pom download
userClassifier-1.0.3-sources.jar download
Apache Maven 
<dependency>
  <groupId>nz.ac.waikato.cms.weka</groupId>
  <artifactId>userClassifier</artifactId>
  <version>1.0.3</version>
</dependency>
Gradle Groovy 
implementation 'nz.ac.waikato.cms.weka:userClassifier:1.0.3'
Gradle Kotlin 
implementation("nz.ac.waikato.cms.weka:userClassifier:1.0.3")
Scala SBT 
libraryDependencies += "nz.ac.waikato.cms.weka" % "userClassifier" % "1.0.3"
Groovy Grape 
@Grapes(
  @Grab(group='nz.ac.waikato.cms.weka', module='userClassifier', version='1.0.3')
)
Apache Ivy 
<dependency org="nz.ac.waikato.cms.weka" name="userClassifier" rev="1.0.3" />
Leiningen 
[nz.ac.waikato.cms.weka/userClassifier "1.0.3"]
Apache Buildr 
'nz.ac.waikato.cms.weka:userClassifier:jar:1.0.3'
Dependencies 
<parent>
  <groupId>org.sonatype.oss</groupId>
  <artifactId>oss-parent</artifactId>
  <version>7</version>
</parent>

compile

|-- nz.ac.waikato.cms.weka:weka-dev

test

|-- nz.ac.waikato.cms.weka:weka-dev

|-- junit:junit:3.8.2