Double value = new Double(dv);  result.append(m_AdditionalMeasures[i]+" : "+value+'\n');
if (!Instance.isMissingValue(dv)) { Double value = new Double(dv); result.append(m_AdditionalMeasures[i]+" : "+value+'\n'); } else { result.append(m_AdditionalMeasures[i]+" : "+'?'+'\n'); }
  public String getRawResultOutput() {    StringBuffer result = new StringBuffer();    if (m_Classifier == null) {      return "<null> classifier";    }    result.append(toString());    result.append("Classifier model: \n"+m_Classifier.toString()+'\n');    // append the performance statistics    if (m_result != null) {      result.append(m_result);            if (m_doesProduce != null) {	for (int i=0;i<m_doesProduce.length;i++) {	  if (m_doesProduce[i]) {	    try {	      double dv = ((AdditionalMeasureProducer)m_Classifier).		getMeasure(m_AdditionalMeasures[i]);	      Double value = new Double(dv);	      	      result.append(m_AdditionalMeasures[i]+" : "+value+'\n');	    } catch (Exception ex) {	      System.err.println(ex);	    }	  } 	}      }    }    return result.toString();  }