Combine accuracy and hierarchical accurarcy print statements

isco_hierarchical_accuracy.py

@@ -274,7 +274,6 @@ class ISCO_Hierarchical_Accuracy(evaluate.Metric):
         accuracy = sum(i == j for i, j in zip(predictions, references)) / len(
             predictions
         )
-        print(f"Accuracy: {accuracy}")
 
         # Calculate hierarchical precision, recall and f-measure
         hierarchy = self.isco_hierarchy
@@ -283,7 +282,7 @@ class ISCO_Hierarchical_Accuracy(evaluate.Metric):
         )
         hF = self.hierarchical_f_measure(hP, hR)
         print(
-            f"Hierarchical Precision: {hP}, Hierarchical Recall: {hR}, Hierarchical F-measure: {hF}"
+            f"Accuracy: {accuracy}, Hierarchical Precision: {hP}, Hierarchical Recall: {hR}, Hierarchical F-measure: {hF}"
         )
 
         return {