diff --git a/feature_engine/creation/decision_tree_features.py b/feature_engine/creation/decision_tree_features.py
index e0f844005..b1b3a2c92 100644
--- a/feature_engine/creation/decision_tree_features.py
+++ b/feature_engine/creation/decision_tree_features.py
@@ -135,13 +135,9 @@ class DecisionTreeFeatures(TransformerMixin, BaseEstimator, GetFeatureNamesOutMi
         the random_state to an integer.
 
     n_jobs: int, default=None
-        The number of jobs to run in parallel when training the decision trees
-        across feature combinations. Trees are fit using threads rather than
-        processes, since fitting a decision tree releases the GIL for the bulk
-        of its computation, which avoids the overhead of copying the entire
-        dataframe to separate worker processes. `None` means 1, i.e. sequential
-        training (this transformer's original behaviour); `-1` means using all
-        available processors.
+        The number of jobs to run in parallel. `fit` is parallelized over the feature
+        combinations, training one decision tree per combination. `None` means 1
+        unless in a `joblib.parallel_backend` context. `-1` means using all processors.
 
     {missing_values}