/***********************************************************************
This file is part of KEEL-software, the Data Mining tool for regression,
classification, clustering, pattern mining and so on.
Copyright (C) 2004-2010
F. Herrera (herrera@decsai.ugr.es)
L. S�nchez (luciano@uniovi.es)
J. Alcal�-Fdez (jalcala@decsai.ugr.es)
S. Garc�a (sglopez@ujaen.es)
A. Fern�ndez (alberto.fernandez@ujaen.es)
J. Luengo (julianlm@decsai.ugr.es)
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see http://www.gnu.org/licenses/
**********************************************************************/
/**
* <p>
* @author Written by Jose A. Saez Munoz, research group SCI2S (Soft Computing and Intelligent Information Systems).
* DECSAI (DEpartment of Computer Science and Artificial Intelligence), University of Granada - Spain.
* Date: 06/01/10
* @version 1.0
* @since JDK1.6
* </p>
*/
package keel.Algorithms.Semi_Supervised_Learning.Basic.C45;
import java.io.*;
/**
* Class to implement Parameters the C4.5 algorithm
*/
public class ParametersC45 {
static public boolean prune = true;
static public double confidence = 0.25 ; // 0.25;
static public int itemsetsPerLeaf =2 ;
}