text: from data.utilities import clf_prep
  from mlautomator.mlautomator import MLAutomator
  
  if __name__=='__main__':
      
      x,y=clf_prep('GOLD_D.csv')
      automator=MLAutomator(x, y, iterations=200, specific_algos=['01'], score_metric='neg_log_loss')
      automator.find_best_algorithm()
      automator.print_best_space()
      #automator.fit_best_model()
      