import dataMining.*;
      import dbconnectivity.*;
      import dbconnectivity.BufferedResultSet;
      
      f = new JInternalFrame("Classification batch example");
      jt= new JTextArea();
      jt.setEditable(false);
      jt.setForeground(Color.white);
      jt.setBackground(Color.black);
      f.add(jt);
      f.setSize(300,350);
      f.setLocation(0,0);
      f.add(jt);
      
      f.setClosable(true);
      currentMainFrame.frameDesktop.add(f);
      
      bc = new BayesianClassifier(currentMainFrame.Messages);
      bcs = new BayesianClassifierSettings(currentMainFrame.Messages);
      
      bcs.setClassifierClassesNumber(2);
      bcs.setNormalization(true);
      
      user="root";
      db="test";
      
      currentMainFrame.currentAccess = new DatabaseSource(DatabaseSource.MYSQL,currentMainFrame,currentMainFrame.Messages);
      currentMainFrame.currentAccess.access(user,"","");
      currentMainFrame.currentAccess.executeUpdein("USE "+ db,true);
      queryText = "select * from heart";
      buffrs = currentMainFrame.currentAccess.executeQuery(queryText);
      
      bc.setClassifierSettings(bcs);
      bc.setData(buffrs,true);
      results = new ClassifierOutput();
      bc.doTrainingAndTest(bcs,results);
      
      globalAccuracy=results.getAccuracy();
      
      double[] classAccuracy= new double[2];
      
      classAccuracy = results.getPerClassAccuracy();
      
      jt.setText("User : "+ user);
      jt.append("\nDB : "+ db);
      jt.append("\nQuery text : "+queryText);
      jt.append("\n\nClassifier description : "+ bc );
      jt.append("\nClassifier settings : \n"+ bcs );
      jt.append("\n\nResults :");
      jt.append("\nGlobal accuracy : "+ globalAccuracy +" %");
      jt.append("\nFirst class accuracy : "+ classAccuracy[0] +" %");
      jt.append("\nSecond class accuracy : "+ classAccuracy[1] +" %");
      f.setVisible(true); 
      currentMainFrame.currentLog.addText("\n\n\nCLASSIFIER PLUG-IN STARTED!"+"\nThis plug-in show you a custom "+"\nclassification script example \n\n\n");