diff --git a/doc/whats_new/v1.3.rst b/doc/whats_new/v1.3.rst
index 1a445b7436201..b711eadf572f5 100644
--- a/doc/whats_new/v1.3.rst
+++ b/doc/whats_new/v1.3.rst
@@ -12,6 +12,30 @@ Version 1.3.2
 Changelog
 ---------
 
+:mod:`sklearn.datasets`
+.......................
+
+- |Fix| All dataset fetchers now accept `data_home` as any object that implements
+  the :class:`os.PathLike` interface, for instance, :class:`pathlib.Path`.
+  :pr:`27468` by :user:`Yao Xiao <Charlie-XIAO>`.
+
+:mod:`sklearn.decomposition`
+............................
+
+- |Fix| Fixes a bug in :class:`decomposition.KernelPCA` by forcing the output of
+  the internal :class:`preprocessing.KernelCenterer` to be a default array. When the
+  arpack solver is used, it expects an array with a `dtype` attribute.
+  :pr:`27583` by :user:`Guillaume Lemaitre <glemaitre>`.
+
+:mod:`sklearn.metrics`
+......................
+
+- |Fix| Fixes a bug for metrics using `zero_division=np.nan`
+  (e.g. :func:`~metrics.precision_score`) within a paralell loop
+  (e.g. :func:`~model_selection.cross_val_score`) where the singleton for `np.nan`
+  will be different in the sub-processes.
+  :pr:`27573` by :user:`Guillaume Lemaitre <glemaitre>`.
+
 :mod:`sklearn.tree`
 ...................
 
diff --git a/doc/whats_new/v1.4.rst b/doc/whats_new/v1.4.rst
index 8cd4498f53cf0..1a3e1916bf2ef 100644
--- a/doc/whats_new/v1.4.rst
+++ b/doc/whats_new/v1.4.rst
@@ -233,10 +233,6 @@ Changelog
   which returns a dense numpy ndarray as before.
   :pr:`27438` by :user:`Yao Xiao <Charlie-XIAO>`.
 
-- |Fix| All dataset fetchers now accept `data_home` as any object that implements
-  the :class:`os.PathLike` interface, for instance, :class:`pathlib.Path`.
-  :pr:`27468` by :user:`Yao Xiao <Charlie-XIAO>`.
-
 :mod:`sklearn.decomposition`
 ............................
 
@@ -253,11 +249,6 @@ Changelog
   :pr:`26315` and :pr:`27098` by :user:`Mateusz Sokół <mtsokol>`,
   :user:`Olivier Grisel <ogrisel>` and :user:`Edoardo Abati <EdAbati>`.
 
-- |Fix| Fixes a bug in :class:`decomposition.KernelPCA` by forcing the output of
-  the internal :class:`preprocessing.KernelCenterer` to be a default array. When the
-  arpack solver was used, it would expect an array with a `dtype` attribute.
-  :pr:`27583` by :user:`Guillaume Lemaitre <glemaitre>`.
-
 :mod:`sklearn.ensemble`
 .......................
 
@@ -367,12 +358,6 @@ Changelog
   `response_method=("decision_function", "predict_proba")`.
   :pr:`26840` by :user:`Guillaume Lemaitre <glemaitre>`.
 
-- |Fix| Fixes a bug for metrics using `zero_division=np.nan`
-  (e.g. :func:`~metrics.precision_score`) within a paralell loop
-  (e.g. :func:`~model_selection.cross_val_score`) where the singleton for `np.nan`
-  will be different in the sub-processes.
-  :pr:`27573` by :user:`Guillaume Lemaitre <glemaitre>`.
-
 - |API| The `squared` parameter of :func:`metrics.mean_squared_error` and
   :func:`metrics.mean_squared_log_error` is deprecated and will be removed in 1.6.
   Use the new functions :func:`metrics.root_mean_squared_error` and