在java代码中使用WEKA API时:Class Attribute Not Set

Question

我试图在我的java代码中使用weka API。我使用J48树分类在MySQL数据库中分类我的数据集，但我有这个错误:

Trying to add database driver (JDBC): RmiJdbc.RJDriver - Error, not in CLASSPATH?
Trying to add database driver (JDBC): jdbc.idbDriver - Error, not in CLASSPATH?
Trying to add database driver (JDBC): com.mckoi.JDBCDriver - Error, not in CLASSPATH?
Trying to add database driver (JDBC): org.hsqldb.jdbcDriver - Error, not in CLASSPATH?
weka.core.UnassignedClassException: weka.classifiers.trees.j48.C45PruneableClassifierTree: Class attribute not set!
        at weka.core.Capabilities.test(Capabilities.java:1086)
        at weka.core.Capabilities.test(Capabilities.java:1018)
        at weka.core.Capabilities.testWithFail(Capabilities.java:1297)
.....

这是我的代码:

try{
       DatabaseLoader loader = new DatabaseLoader();
      loader.setSource("jdbc:mysql://localhost:3306/cuaca","root","491754");
       loader.setQuery("select * from data_training");
      Instances data = loader.getDataSet();
        jTextArea1.append(data.toString());
        String[] options = new String[1];
        options[0] = "U"; // unpruned tree
        J48 tree = new J48(); // new instance of tree
       tree.setOptions(options); // set the option
       tree.buildClassifier(data); // build classifier
       //Evaluation eval=new Evaluation(data);
       //eval.crossValidateModel(tree, data, 10, new Random(1));
       //jTextArea1.append(eval.toSummaryString("n HASILNYA n", false));
 }catch(IOException ioe){ioe.printStackTrace();}
        catch(Exception e){e.printStackTrace();}

数据集实际出现在textarea中:

@relation data_training
@attribute Tmean numeric
@attribute Tmax numeric
@attribute Td numeric
@attribute RH numeric
@attribute SLP numeric
@attribute STP numeric
@attribute Wind_ave numeric
@attribute Wind_max numeric
@attribute Hujan {Y,T}
@data
25.9,31.6,23.1,93.4,1008.5,998.2,2.6,12.9,Y
27.6,31.4,22.3,87,1009.6,999.3,0.8,3.1,T
27.4,32.6,21.9,86.1,1009.4,999.2,4.5,14.3,T
27.6,32.2,22.4,87.3,1009.1,998.9,2.4,8.2,T

我想知道为什么出现错误(类属性未设置!!)

Answer 1

在将数据集传递给分类器之前，应该设置类索引的值。你的分类器必须知道哪个是你的结果变量。在这些行之后…

loader.setQuery("select * from data_training");
Instances data = loader.getDataSet();

添加以下内容:

data.setClassIndex(data.numAttributes() - 1);

如果Hujan是你的类属性(结果变量)

Answer 2

试试

data.setClassIndex(1);

1. 您的班级索引