code: def expected_output_format(self):
      desc = "==== Expected output format of Evaluator for {}\n".format(
          self.name
      )
      if self.eval_metric == "rocauc":
          desc += "{'rocauc': rocauc}\n"
          desc += "- rocauc (float): ROC-AUC score averaged across {} task(s)\n".format(
              self.num_tasks
          )
      elif self.eval_metric == "acc":
          desc += "{'acc': acc}\n"
          desc += "- acc (float): Accuracy score averaged across {} task(s)\n".format(
              self.num_tasks
          )
      else:
          raise ValueError(
              "Undefined eval metric %s " % (self.eval_metric)
          )
  
      return desc
  
file_path: ogb/ogb/nodeproppred/evaluate.py
imports: import os
  import numpy
  import pandas
  from sklearn.metrics import roc_auc_score
label_desc: Use image node_id 5 for calling the Evaluator obj's underlying member method code with example usage: obj.expected_output_format() and returns: desc