JCHAIDStar: An implementation of the CHAID* algorithm for WEKA

This page contains the complete material related to "JCHAIDStar: An implementation of the CHAID* algorithm for WEKA".

Below you can find all information related to the most recent update (v1.2, March 2022) done on this implementation.

To access to previous versions:

⚫

February 2019

v1.2, March 2022 (the last update)

Technical information:

Class for generating a decision tree based on the CHAID* algorithm,a modified version of the CHAID decision tree induction algorithm that also handles continuous features and includes the same post-pruning mechanism used by C4.5.

For more information, see:

Igor Ibarguren, Aritz Lasarguren, Jesús M. Pérez, Javier Muguerza, Olatz Arbelaitz and Ibai Gurrutxaga.
"BFPART: Best-First PART". Information Sciences (2016). Vol. 367-368. pp. 927-952.
doi:10.1016/j.ins.2016.07.023

G. V. Kass. "An Exploratory Technique for Investigating Large Quantities of Categorical Data".
Journal of the Royal Statistical Society - Series C (Applied Statistics) (1980), Vol. 29(2), pp 119-127.
http://www.jstor.org/stable/2986296

Weka package:

The Weka package containing the JCHAIDStar classifier (tested for weka-3-8-5) to be installed from Weka's package manager, including compiled code, source code, javadocs and package description files, can be found in the official list of Weka packages:
or here:
Source code:

The source code of the classes that implement the JCHAIDStar classifier (on stable-3-8-5 version of Weka) 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.
Executable file:

The executable file in Weka is a .jar file. The file with the current JCHAIDStar implementation included in the stable-3-8-5 version of Weka can be found in:
To run Weka type:

Last modification: 2022/03/22