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();

       }

    }

} 

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