SVMAttributeEval · Evaluates the worth of an attribute by using an SVM classifier. Attributes are ranked by the square of the weight assigned by the SVM. Attribute selection for multiclass problems is handled by ranking attributes for each class seperately using a one-vs-all method and then "dealing" from the top of each pile to give a final ranking. For more information see: I. Guyon, J. Weston, S. Barnhill, V. Vapnik (2002). Gene selection for cancer classification using support vector machines. Machine Learning. 46:389-422.

Table Of Contents

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

Latest Version

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

• Latest Stable: 1.0.2.jar

All Versions

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

Version		Vulnerabilities	Size	Updated
1.0.x	SVMAttributeEval-1.0.2.jar		10.27 KB	Apr 26, 2012
	SVMAttributeEval-1.0.1.jar		10.27 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 SVMAttributeEval-1.0.2.jar file.
   Once you open a JAR file, all the java classes in the JAR file will be displayed.

weka.attributeSelection

├─ weka.attributeSelection.SVMAttributeEval.class - [JAR]