Project Summary
WekaGP is an algorithm to be used with Weka open source (GPL license) data-mining software.
Our Genetic Programming is inspired by Koza (1) and Banzhaf et al. (2). It can perform symbolic regression (continuous) or classification. Classification uses multiple one-against-all classifiers. Better accuracy is obtained on classification using a boosting technique (3).
(1) Koza, J.R. (1992), Genetic Programming: On the Programming of Computers by Means of Natural Selection, MIT Press
(2) Banzhaf, W., Nordin, P., Keller, R.E., Francone, F.D. (1998), Genetic Programming: An Introduction: On the Automatic Evolution of Computer Programs and Its Applications, Morgan Kaufmann
(3) Yoav Freund and Robert E. Schapire (1996). Experiments with a new boosting algorithm.
In a Nutshell, WekaGP...
GNU General Public License v2.0 or later
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These details are provided for information only. No information here is legal advice and should not be used as such.
This Project has No vulnerabilities Reported Against it
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