DOC fix wording in Outlier Detection docs
@@ -332,7 +332,7 @@ lower density than their neighbors.
In practice the local density is obtained from the k-nearest neighbors.
The LOF score of an observation is equal to the ratio of the
-average local density of his k-nearest neighbors, and its own local density:
+average local density of its k-nearest neighbors, and its own local density:
a normal instance is expected to have a local density similar to that of its
neighbors, while abnormal data are expected to have much smaller local density.
