code: def ce(actual, predicted):
      
      return (sum([1.0 for x,y in zip(actual,predicted) if x != y]) /
              len(actual))
docs: Computes the classification error.
  
      This function computes the classification error between two lists
  
      Parameters
      ----------
      actual : list
               A list of the true classes
      predicted : list
                  A list of the predicted classes
  
      Returns
      -------
      score : double
              The classification error between actual and predicted