diff --git a/python/cuml/cuml/manifold/umap.pyx b/python/cuml/cuml/manifold/umap.pyx
index 9e4f3a6551..83f29f76c8 100644
--- a/python/cuml/cuml/manifold/umap.pyx
+++ b/python/cuml/cuml/manifold/umap.pyx
@@ -341,7 +341,7 @@ class UMAP(UniversalBase,
             "sokalmichener": "NotImplemented",
             "yule": "NotImplemented",
             "ll_dirichlet": "NotImplemented",
-            "russelrao": "NotImplemented",
+            "russellrao": "NotImplemented",
             "kulsinski": "NotImplemented",
             "dice": "NotImplemented",
             "wminkowski": "NotImplemented",
diff --git a/python/cuml/cuml/tests/experimental/accel/estimators_hyperparams/test_accel_umap.py b/python/cuml/cuml/tests/experimental/accel/estimators_hyperparams/test_accel_umap.py
index 221082d32a..67ace7c3fd 100644
--- a/python/cuml/cuml/tests/experimental/accel/estimators_hyperparams/test_accel_umap.py
+++ b/python/cuml/cuml/tests/experimental/accel/estimators_hyperparams/test_accel_umap.py
@@ -59,7 +59,7 @@ def test_umap_min_dist(manifold_data, min_dist):
         "sokalmichener",
         "yule",
         "ll_dirichlet",
-        "russelrao",
+        "russellrao",
         "kulsinski",
         "dice",
         "wminkowski",
@@ -72,6 +72,7 @@ def test_umap_metric(manifold_data, metric):
     # haversine only works for 2D data
     if metric == "haversine":
         X = X[:, :2]
+
     umap = UMAP(metric=metric, random_state=42)
     X_embedded = umap.fit_transform(X)
     trust = trustworthiness(X, X_embedded, n_neighbors=5)