WEKA (the Waikato Environment for Knowledge Analysis) is an open
source and freely available workbench for applying machine learning
techniques to practical problems, integrating many different machine
learning tools within a common framework and a uniform, if basic but
functional, user interface. WEKA incorporates over 60 machine
learning techniques, ranging from traditional decision trees,
association rules, clustering, through to modern random forests and
support vector machines. A WEKA user is able to use machine learning
techniques to derive useful knowledge from quite large databases.
Typical users include both researchers and industrial scientists.