This page contains the complete material related to "An implementation of the UnPART algorithm for WEKA".
Technical information:
Class for generating an UnPART decision list. It uses fully developed C4.5 decision trees to generate rules. Once the C4.5 tree has been developed, the heaviest leaf is used to generate a rule.
For more information, see:
Igor Ibarguren, Jesús M. Pérez, Javier Muguerza, Ibai Gurrutxaga and Olatz Arbelaitz. "UnPART: PART without the 'partial' condition of it". Information Sciences (2018). Vol. 465, pp 505-522. doi:10.1016/j.ins.2018.07.022
Source code:
The source code of the four classes that implement the UnPART classifier can be found in:
In order to complete the whole source code of the implementation, download the Weka source code from http://www.cs.waikato.ac.nz/ml/weka/downloading.html.
Binary file:
This binary can be added to the classpath of a WEKA execution and the classifier will be available under the "rules" group.
Both the source code and the binaries are compatible from WEKA versions after 3.7.11 (successfully tested on versions up to 3.9.1)Last modification: 2018/11/05