Beckham, Christopher J.2015-11-232015-11-232015-10Beckham, 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.1177-777Xhttps://hdl.handle.net/10289/9773WEKA 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.application/pdfen© 2015 Christopher J. BeckhamComputer ScienceWorking Paper