package kit.weka;
/**
* desc:试试Weka的决策树类
* <code>J48Test</code>
*
*/
import java.io.File;
import java.io.IOException;
import weka.classifiers.Classifier;
import weka.classifiers.trees.J48;
import weka.core.Instances;
import weka.core.converters.ArffLoader;
public class J48Test {
/**
* @param args
* @throws Exception
*/
public static void main(String[] args) throws Exception {
Classifier m_classifier = new J48();
File inputFile = new File("d:\\Program Files\\Weka-3-7\\data\\cpu.with.vendor.arff");//训练语料文件
ArffLoader atf = new ArffLoader();
atf.setFile(inputFile);
Instances instancesTrain = atf.getDataSet(); // 读入训练文件
inputFile = new File("d:\\Program Files\\Weka-3-7\\data\\cpu.with.vendor.arff");//测试语料文件
atf.setFile(inputFile);
Instances instancesTest = atf.getDataSet(); // 读入测试文件
instancesTest.setClassIndex(0); //设置分类属性所在行号(第一行为0号),instancesTest.numAttributes()可以取得属性总数
double sum = instancesTest.numInstances(),//测试语料实例数
right = 0.0f;
instancesTrain.setClassIndex(0);
m_classifier.buildClassifier(instancesTrain); //训练
for(int i = 0;i<sum;i++)//测试分类结果
{
if(m_classifier.classifyInstance(instancesTest.instance(i))==instancesTest.instance(i).classValue())//如果预测值和答案值相等(测试语料中的分类列提供的须为正确答案,结果才有意义)
{
right++;//正确值加1
}
}
System.out.println("J48 classification precision:"+(right/sum));
}
}
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