代码-Weka的LinearRegression类

package kit.weka;

import weka.classifiers.Evaluation;  

import weka.classifiers.functions.LinearRegression;  

import weka.core.Instance;  

import weka.core.Instances;  

import weka.core.converters.ConverterUtils.DataSource;  

public class LegressionTest 

{  

    public static void main(String[] args) throws Exception 

    {  

        // TODO Auto-generated method stub   

        DataSource train_data = new DataSource("d:\\Program Files\\Weka-3-7\\data\\train.arff");//读训练数据  

        DataSource test_data = new DataSource("d:\\Program Files\\Weka-3-7\\data\\test.arff");//读测试数据  

        Instances insTrain = train_data.getDataSet();  

        Instances insTest = test_data.getDataSet();  

        insTrain.setClassIndex(insTrain.numAttributes()-1);//设置训练集中，target的index   

        insTest.setClassIndex(insTest.numAttributes()-1);//设置测试集中，target的index   

        LinearRegression lr = new LinearRegression();//定义分类器的类型   

        lr.buildClassifier(insTrain);//训练分类器   

        Evaluation eval=new Evaluation(insTrain);  

        eval.evaluateModel(lr, insTest);//评估效果   

        System.out.println(eval.meanAbsoluteError());//计算ＭＡＥ   

    }  

}