code: def _info(self):
      return evaluate.MetricInfo(
          description=_DESCRIPTION,
          citation=_CITATION,
          inputs_description=_KWARGS_DESCRIPTION,
          features=datasets.Features(
              {
                  "predictions": datasets.Sequence(
                      datasets.Value("int32")
                  ),
                  "references": datasets.Sequence(
                      datasets.Value("int32")
                  ),
              }
              if self.config_name == "multilabel"
              else {
                  "predictions": datasets.Value("int32"),
                  "references": datasets.Value("int32"),
              }
          ),
          reference_urls=[
              "https://scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html"
          ],
      )
  
imports: import datasets
  from sklearn.metrics import accuracy_score
  import evaluate
label_desc: Use image node_id 1 for calling the Accuracy obj's underlying member method code with example usage: obj._info() and returns: evaluate