scikit-learn
diff --git a/‎sklearn/cluster/_agglomerative.py
Copy file name to clipboardExpand all lines: sklearn/cluster/_agglomerative.py
+1-2Lines changed: 1 addition & 2 deletions b/‎sklearn/cluster/_agglomerative.py
Copy file name to clipboardExpand all lines: sklearn/cluster/_agglomerative.py
+1-2Lines changed: 1 addition & 2 deletions
@@ -755,8 +755,7 @@ def _hc_cut(n_clusters, children, n_leaves):
     if n_clusters > n_leaves:
         raise ValueError(
             "Cannot extract more clusters than samples: "
-            "%s clusters where given for a tree with %s leaves."
-            % (n_clusters, n_leaves)
+            f"{n_clusters} clusters were given for a tree with {n_leaves} leaves."
         )
     # In this function, we store nodes as a heap to avoid recomputing
     # the max of the nodes: the first element is always the smallest