code: def fake_prob_metric_multiclass(y_true, y_pred, needs_proba=True):
      return roc_auc_score(
          y_true, y_pred, average="macro", multi_class="ovo"
      )
  
file_path: skll/tests/other/custom_metrics.py
imports: from sklearn.metrics import average_precision_score, f1_score, fbeta_score, precision_score, r2_score, roc_auc_score
label_desc: Use image node_id 7 for calling a global function with example usage: fake_prob_metric_multiclass(y_true, y_pred, needs_proba) and returns: roc_auc_score