代码-Weka的NaiveBayes类

package kit.weka;

import java.io.File;
import weka.classifiers.CheckClassifier;
import weka.classifiers.Classifier;
import weka.classifiers.Evaluation;
import weka.classifiers.evaluation.*;
import weka.core.Instance;
import weka.core.Instances;
import weka.core.converters.*;

public class NaiveBayesTest
{
    public static void main(String[] args)
    {
       Instances ins = null;
       Classifier cfs = null;

       try
       {
           //读入训练测试样本
           File file = new File("d:\\Program Files\\Weka-3-7\\data\\contact-lenses.arff");
           ArffLoader loader = new ArffLoader();
           loader.setFile(file);
           ins = loader.getDataSet();
           ins.setClassIndex(ins.numAttributes()-1);

           //初始化分类器
           cfs = (Classifier)Class.forName("weka.classifiers.bayes.NaiveBayes").newInstance();

           //使用训练样本进行分类
           cfs.buildClassifier(ins);

           //使用测试样本测试分类器的学习效果
           Instance testInst;
           Evaluation testingEvaluation = new Evaluation(ins);
           int length = ins.numInstances();
           for(int i = 0; i < length ; i++)
           {
              testInst = ins.instance(i);
              testingEvaluation.evaluateModelOnceAndRecordPrediction(cfs, testInst);
           }

           //打印分类结果
           System.out.println("分类的正确率"+(1-testingEvaluation.errorRate()));

       }
       catch (Exception e)
       {
           e.printStackTrace();
       }
    }
}