code: def overall_MCC_calc(classes, table, TOP, P):
      
      try:
          cov_x_y = 0
          cov_x_x = 0
          cov_y_y = 0
          matrix_sum = sum(list(TOP.values()))
          for i in classes:
              cov_x_x += TOP[i] * (matrix_sum - TOP[i])
              cov_y_y += P[i] * (matrix_sum - P[i])
              cov_x_y += (table[i][i] * matrix_sum - P[i] * TOP[i])
          return cov_x_y / (math.sqrt(cov_y_y * cov_x_x))
      except Exception:
          return "None"
docs: Calculate Overall_MCC.
  
      :param classes: classes
      :type classes : list
      :param table: input matrix
      :type table : dict
      :param TOP: test outcome positive
      :type TOP : dict
      :param P: condition positive
      :type P : dict
      :return:  Overall_MCC as float