scikit-learn
diff --git a/‎doc/whats_new/upcoming_changes/sklearn.linear_model/31665.enhancement.rst renamed to ‎doc/whats_new/upcoming_changes/sklearn.linear_model/31665.efficiency.rst b/‎doc/whats_new/upcoming_changes/sklearn.linear_model/31665.enhancement.rst renamed to ‎doc/whats_new/upcoming_changes/sklearn.linear_model/31665.efficiency.rst
diff --git a/‎doc/whats_new/upcoming_changes/sklearn.linear_model/31848.enhancement.rst renamed to ‎doc/whats_new/upcoming_changes/sklearn.linear_model/31848.efficiency.rst b/‎doc/whats_new/upcoming_changes/sklearn.linear_model/31848.enhancement.rst renamed to ‎doc/whats_new/upcoming_changes/sklearn.linear_model/31848.efficiency.rst
diff --git a/‎doc/whats_new/upcoming_changes/sklearn.linear_model/31880.enhancement.rst renamed to ‎doc/whats_new/upcoming_changes/sklearn.linear_model/31880.efficiency.rst b/‎doc/whats_new/upcoming_changes/sklearn.linear_model/31880.enhancement.rst renamed to ‎doc/whats_new/upcoming_changes/sklearn.linear_model/31880.efficiency.rst
diff --git a/‎doc/whats_new/v1.7.rst
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@@ -256,7 +256,7 @@ more details.
   `l1_ratio=None` when `penalty` is not `"elasticnet"`.
   By :user:`Marc Bresson <MarcBresson>`. :pr:`30730`
 
-- |Enhancement| Fitting :class:`linear_model.Lasso` and :class:`linear_model.ElasticNet` with
+- |Efficiency| Fitting :class:`linear_model.Lasso` and :class:`linear_model.ElasticNet` with
   `fit_intercept=True` is faster for sparse input `X` because an unnecessary
   re-computation of the sum of residuals is avoided.
   By :user:`Christian Lorentzen <lorentzenchr>` :pr:`31387`