FIX docstring of negative_outlier_factor_ in LOF
@@ -106,7 +106,7 @@ class LocalOutlierFactor(NeighborsBase, KNeighborsMixin, UnsupervisedMixin):
Attributes
----------
negative_outlier_factor_ : numpy array, shape (n_samples,)
- The opposite LOF of the training samples. The lower, the more normal.
+ The opposite LOF of the training samples. The lower, the more abnormal.
Inliers tend to have a LOF score close to 1, while outliers tend
to have a larger LOF score.
