"D", 1, "-D <directory>"));
"N", 1, "-N <directory>"));
  public Enumeration listOptions() {    Vector newVector = new Vector(5);    newVector.addElement(new Option(	      "\tMinimize expected misclassification cost. Default is to\n"	      +"\treweight training instances according to costs per class",	      "M", 0, "-M"));    newVector.addElement(new Option(	      "\tFull class name of classifier to use. (required)\n"	      + "\teg: weka.classifiers.bayes.NaiveBayes",	      "W", 1, "-W <class name>"));    newVector.addElement(new Option(	      "\tFile name of a cost matrix to use. If this is not supplied,\n"              +"\ta cost matrix will be loaded on demand. The name of the\n"              +"\ton-demand file is the relation name of the training data\n"              +"\tplus \".cost\", and the path to the on-demand file is\n"              +"\tspecified with the -D option.",	      "C", 1, "-C <cost file name>"));    newVector.addElement(new Option(              "\tName of a directory to search for cost files when loading\n"              +"\tcosts on demand (default current directory).",              "D", 1, "-D <directory>"));    newVector.addElement(new Option(	      "\tSeed used when reweighting via resampling. (Default 1)",	      "S", 1, "-S <num>"));    return newVector.elements();  }