diff --git a/epdb/models.py b/epdb/models.py
index 3db8ce0f..e0e924c1 100644
--- a/epdb/models.py
+++ b/epdb/models.py
@@ -2853,7 +2853,6 @@ class ApplicabilityDomain(EnviPathModel):
                 train_instances = train_instances.with_columns(dist=pl.Series(dists))
 
                 #  sort them in a descending way and take at most `self.num_neighbours`
-                # TODO: Should this be descending? If we want the most similar then we want values close to zero (ascending)
                 train_instances = train_instances.sort("dist", descending=True)[:self.num_neighbours]
                 # compute average distance
                 rule_reliabilities[rule_uuid] = train_instances.select(pl.mean("dist")).fill_nan(0.0).item()