利用Weka API进行线性回归

package LinearRegression;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 Legression {/** * @param args * @throws Exception  */public static void main(String[] args) throws Exception {// TODO Auto-generated method stubDataSource train_data = new DataSource("E://train.arff");//读训练数据DataSource test_data = new DataSource("E://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indexinsTest.setClassIndex(insTest.numAttributes()-1);//设置测试集中，target的indexLinearRegression 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}}