code: def lambda_A_calc(classes, table, P, POP):
      
      try:
          result = 0
          maxreference = max(list(P.values()))
          length = POP
          for i in classes:
              col = []
              for col_item in table.values():
                  col.append(col_item[i])
              result += max(col)
          result = (result - maxreference) / (length - maxreference)
          return result
      except Exception:
          return "None"
docs: Calculate Goodman and Kruskal's lambda A.
  
      :param classes: confusion matrix classes
      :type classes : list
      :param table: confusion matrix table
      :type table : dict
      :param P: condition positive
      :type P : dict
      :param POP: population
      :type POP : int
      :return: Goodman and Kruskal's lambda A as float