text: import classifier.decision_tree as decision_tree
  import util.data as data
  
  def main():
      
      data.DATASET = "characters"
      # data.DATASET = "signatures"
      repeat, save = 30, True
  
      # features, labels = data.loadDataset(data.DATASET, "mi_hu")
      # decision_tree.random_forest(features, labels, repeat, save)
      # decision_tree.cart(features, labels, repeat, save)
      # decision_tree.c45(features, labels, repeat, save)
      # del features, labels
  
      features, labels = data.loadDataset(data.DATASET, "cnn")
      decision_tree.random_forest(features, labels, repeat, save)
      # decision_tree.cart(features, labels, repeat, save)
      # decision_tree.c45(features, labels, repeat, save)
      # del features, labels
  
  if __name__ == '__main__':
      main()