Classification and regression algorithms for WEKA implemented in Python
Beckham, C.J. (2015). Classification and regression algorithms for WEKA implemented in Python. (Working paper 02/2015). Hamilton, New Zealand: University of Waikato, Department of Computer Science.
Permanent Research Commons link: http://hdl.handle.net/10289/9773
WEKA is a popular machine learning workbench written in Java that allows users to easily classify, process, and explore data. There are many ways WEKA can be used: through the WEKA Explorer, users can visualise data, train classifiers and examine performance metrics; in the WEKA Experimenter, datasets and algorithms can be compared in an automated fashion; or, it can simply be invoked on the command-line or used as an external library in a Java project.
University of Waikato, Department of Computer Science
© 2015 Christopher J. Beckham