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
    }
}