Weka LibSVM (WLSVM): Integrating LibSVM into Weka Environment

Weka and LibSVM are two efficient software tools for building SVM classifiers. Each one of these two tools has its points of strength and weakness. Weka has a GUI and produces many useful statistics (e.g. confusion matrix, precision, recall, F-measure, and ROC scores). LibSVM runs much faster than Weka SMO and supports several SVM methods (e.g. One-class SVM, nu-SVM, and R-SVM). Weka LibSVM (WLSVM) combines the merits of the two tools. WLSVM can be viewed as an implementation of the LibSVM running under Weka environment.
How To Use

Download and unzip the file wlsvm.zip
Add the jars libsvm.jar and wlsvm.jar to your java project
Use WLSVM as any other weka classifier

WLSVM has been fully integrated into WEKA (for more details,  click here )


If you would like to cite WLSVM, cite the following URL:
Yasser EL-Manzalawy and Vasant Honavar, WLSVM : Integrating LibSVM into Weka Environment, 2005. Software available at http://www.cs.iastate.edu/~yasser/wlsvm

The bibtex format is as follows

author = {Yasser EL-Manzalawy and Vasant Honavar},
title = {{WLSVM}: Integrating LibSVM into Weka Environment},
year = {2005},
note = {Software available at \url{http://www.cs.iastate.edu/~yasser/wlsvm}}