Update bias_auc.py

bias_auc.py

@@ -126,7 +126,7 @@ class BiasAUC(evaluate.Metric):
             y_trues, y_preds = zip(*gen_func(*args, **kwargs))
             score = roc_auc_score(y_trues, y_preds)
         except ValueError:
-            print(f"Sample not sufficient for target clases '{args[-1]}' subgroup metric (need correct and incorrect predictions for '{args[-1]}')")
+            print(f"Sample not sufficient: need negative and positive examples for both target subgroup '{args[-1]}' and background set")
             score = np.nan
         return score