diff --git a/google/cloud/bigquery_v2/types/model.py b/google/cloud/bigquery_v2/types/model.py
index 440bc0805..84188e40c 100644
--- a/google/cloud/bigquery_v2/types/model.py
+++ b/google/cloud/bigquery_v2/types/model.py
@@ -341,8 +341,8 @@ class AggregateClassificationMetrics(proto.Message):
                 threshold.
             f1_score (google.protobuf.wrappers_pb2.DoubleValue):
                 The F1 score is an average of recall and
-                precision. For multiclass this is a macro-
-                averaged metric.
+                precision. For multiclass this is a
+                macro-averaged metric.
             log_loss (google.protobuf.wrappers_pb2.DoubleValue):
                 Logarithmic Loss. For multiclass this is a
                 macro-averaged metric.