public static Result evaluateModel(MultiLabelClassifier h,Instances D_train,Instances D_test,String top) throws Exception {
  return Evaluation.evaluateModel(h,D_train,D_test,top,"1");
}

public static Result evaluateModel ( MultiLabelClassifier h , Instances D_train , Instances D_test , String top ) throws Exception { return Evaluation . evaluateModel ( h , D_train , D_test , top , "1" ) ; }
evaluatemodel - build model ' h ' on ' d_train ' , test it on ' d_test ' , threshold it according to ' top ' , using default verbosity option .
