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.

Table Of Contents

• Latest Version
• All Versions
• View Java Class Source Code in JAR file

Latest Version

Download nz.ac.waikato.cms.weka : userClassifier JAR file - Latest Versions:

• Latest Stable: 1.0.3.jar

All Versions

Download nz.ac.waikato.cms.weka : userClassifier JAR file - All Versions:

Version		Vulnerabilities	Size	Updated
1.0.x	userClassifier-1.0.3.jar		19.39 KB	Apr 25, 2014
	userClassifier-1.0.2.jar		19.29 KB	Apr 26, 2012
	userClassifier-1.0.1.jar		19.29 KB	Apr 24, 2012

View Java Class Source Code in JAR file

1. Download JD-GUI to open JAR file and explore Java source code file (.class .java)
2. Click menu "File → Open File..." or just drag-and-drop the JAR file in the JD-GUI window userClassifier-1.0.3.jar file.
   Once you open a JAR file, all the java classes in the JAR file will be displayed.

weka.classifiers.trees

├─ weka.classifiers.trees.UserClassifier.class - [JAR]