DOC add link to plot_cv_indices example in _split (scikit-learn#27244)

Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com>

Author: MN193

sklearn/model_selection/_split.py

@@ -410,6 +410,10 @@ class KFold(_BaseKFold):
 
     Read more in the :ref:`User Guide <k_fold>`.
 
+    For visualisation of cross-validation behaviour and
+    comparison between common scikit-learn split methods
+    refer to :ref:`sphx_glr_auto_examples_model_selection_plot_cv_indices.py`
+
     Parameters
     ----------
     n_splits : int, default=5
@@ -502,6 +506,10 @@ class GroupKFold(GroupsConsumerMixin, _BaseKFold):
 
     Read more in the :ref:`User Guide <group_k_fold>`.
 
+    For visualisation of cross-validation behaviour and
+    comparison between common scikit-learn split methods
+    refer to :ref:`sphx_glr_auto_examples_model_selection_plot_cv_indices.py`
+
     Parameters
     ----------
     n_splits : int, default=5
@@ -626,6 +634,10 @@ class StratifiedKFold(_BaseKFold):
 
     Read more in the :ref:`User Guide <stratified_k_fold>`.
 
+    For visualisation of cross-validation behaviour and
+    comparison between common scikit-learn split methods
+    refer to :ref:`sphx_glr_auto_examples_model_selection_plot_cv_indices.py`
+
     Parameters
     ----------
     n_splits : int, default=5
@@ -817,6 +829,10 @@ class StratifiedGroupKFold(GroupsConsumerMixin, _BaseKFold):
 
     Read more in the :ref:`User Guide <cross_validation>`.
 
+    For visualisation of cross-validation behaviour and
+    comparison between common scikit-learn split methods
+    refer to :ref:`sphx_glr_auto_examples_model_selection_plot_cv_indices.py`
+
     Parameters
     ----------
     n_splits : int, default=5
@@ -1016,6 +1032,10 @@ class TimeSeriesSplit(_BaseKFold):
 
     Read more in the :ref:`User Guide <time_series_split>`.
 
+    For visualisation of cross-validation behaviour and
+    comparison between common scikit-learn split methods
+    refer to :ref:`sphx_glr_auto_examples_model_selection_plot_cv_indices.py`
+
     .. versionadded:: 0.18
 
     Parameters
@@ -1766,6 +1786,10 @@ class ShuffleSplit(BaseShuffleSplit):
 
     Read more in the :ref:`User Guide <ShuffleSplit>`.
 
+    For visualisation of cross-validation behaviour and
+    comparison between common scikit-learn split methods
+    refer to :ref:`sphx_glr_auto_examples_model_selection_plot_cv_indices.py`
+
     Parameters
     ----------
     n_splits : int, default=10
@@ -1896,6 +1920,10 @@ class GroupShuffleSplit(GroupsConsumerMixin, ShuffleSplit):
 
     Read more in the :ref:`User Guide <group_shuffle_split>`.
 
+    For visualisation of cross-validation behaviour and
+    comparison between common scikit-learn split methods
+    refer to :ref:`sphx_glr_auto_examples_model_selection_plot_cv_indices.py`
+
     Parameters
     ----------
     n_splits : int, default=5
@@ -2026,6 +2054,10 @@ class StratifiedShuffleSplit(BaseShuffleSplit):
 
     Read more in the :ref:`User Guide <stratified_shuffle_split>`.
 
+    For visualisation of cross-validation behaviour and
+    comparison between common scikit-learn split methods
+    refer to :ref:`sphx_glr_auto_examples_model_selection_plot_cv_indices.py`
+
     Parameters
     ----------
     n_splits : int, default=10