code: def roc_auc(fg_vals, bg_vals):
      
      # Create y_labels
      y_true, y_score = values_to_labels(fg_vals, bg_vals)
      
      return roc_auc_score(y_true, y_score)
docs: Computes the ROC Area Under Curve (ROC AUC)
  
      Parameters
      ----------
      fg_vals : array_like
          list of values for positive set
  
      bg_vals : array_like
          list of values for negative set
      
      Returns
      -------
      score : float
          ROC AUC score