code: def _compute(self, predictions, references, sample_weight=None):
      return {
          "matthews_correlation": float(
              matthews_corrcoef(
                  references, predictions, sample_weight=sample_weight
              )
          ),
      }
  
imports: from sklearn.metrics import matthews_corrcoef
  import datasets
label_desc: Use image node_id 2 for calling the MatthewsCorrelation obj's underlying member method code with example usage: obj._compute(predictions, references, sample_weight) and returns: dict