code: def statistic_recommend(classes, P):
      
      if imbalance_check(P):
          return IMBALANCED_RECOMMEND
      if binary_check(classes):
          return BINARY_RECOMMEND
      return MULTICLASS_RECOMMEND
docs: Return recommend parameters which are more suitable due to the input dataset characteristics.
  
      :param classes:  all classes name
      :type classes : list
      :param P: condition positive
      :type P : dict
      :return: recommendation_list as list