DOC Fix ref section of grid search stats example (#18949)

examples/model_selection/plot_grid_search_stats.py

@@ -551,27 +551,27 @@ def compute_corrected_ttest(differences, df, n_train, n_test):
 #   correction is needed when using the frequentist approach.
 
 # %%
-# References:
-# ___________
-# .. [1] Dietterich, T. G. (1998). `Approximate statistical tests for comparing
-#        supervised classification learning algorithms
-#        <http://web.cs.iastate.edu/~jtian/cs573/Papers/Dietterich-98.pdf>`_.
-#        Neural computation, 10(7).
-# .. [2] Nadeau, C., & Bengio, Y. (2000). `Inference for the generalization
-#        error
-#        <https://papers.nips.cc/paper/1661-inference-for-the-generalization-error.pdf>`_.
-#        In Advances in neural information processing systems.
-# .. [3] Bouckaert, R. R., & Frank, E. (2004). `Evaluating the replicability of
-#        significance tests for comparing learning algorithms
-#        <https://www.cms.waikato.ac.nz/~ml/publications/2004/bouckaert-frank.pdf>`_.
-#        In Pacific-Asia Conference on Knowledge Discovery and Data Mining.
-# .. [4] Benavoli, A., Corani, G., Demšar, J., & Zaffalon, M. (2017). `Time for
-#        a change: a tutorial for comparing multiple classifiers through
-#        Bayesian analysis
-#        <http://www.jmlr.org/papers/volume18/16-305/16-305.pdf>`_.
-#        The Journal of Machine Learning Research, 18(1). See the Python
-#        library that accompanies this paper `here
-#        <https://github.com/janezd/baycomp>`_.
-# .. [5] Diebold, F.X. & Mariano R.S. (1995). `Comparing predictive accuracy
-#        <http://www.est.uc3m.es/esp/nueva_docencia/comp_col_get/lade/tecnicas_prediccion/Practicas0708/Comparing%20Predictive%20Accuracy%20(Dielbold).pdf>`_
-#        Journal of Business & economic statistics, 20(1), 134-144.
+# .. topic:: References
+#
+#    .. [1] Dietterich, T. G. (1998). `Approximate statistical tests for
+#           comparing supervised classification learning algorithms
+#           <http://web.cs.iastate.edu/~jtian/cs573/Papers/Dietterich-98.pdf>`_.
+#           Neural computation, 10(7).
+#    .. [2] Nadeau, C., & Bengio, Y. (2000). `Inference for the generalization
+#           error
+#           <https://papers.nips.cc/paper/1661-inference-for-the-generalization-error.pdf>`_.
+#           In Advances in neural information processing systems.
+#    .. [3] Bouckaert, R. R., & Frank, E. (2004). `Evaluating the replicability
+#           of significance tests for comparing learning algorithms
+#           <https://www.cms.waikato.ac.nz/~ml/publications/2004/bouckaert-frank.pdf>`_.
+#           In Pacific-Asia Conference on Knowledge Discovery and Data Mining.
+#    .. [4] Benavoli, A., Corani, G., Demšar, J., & Zaffalon, M. (2017). `Time
+#           for a change: a tutorial for comparing multiple classifiers through
+#           Bayesian analysis
+#           <http://www.jmlr.org/papers/volume18/16-305/16-305.pdf>`_.
+#           The Journal of Machine Learning Research, 18(1). See the Python
+#           library that accompanies this paper `here
+#           <https://github.com/janezd/baycomp>`_.
+#    .. [5] Diebold, F.X. & Mariano R.S. (1995). `Comparing predictive accuracy
+#           <http://www.est.uc3m.es/esp/nueva_docencia/comp_col_get/lade/tecnicas_prediccion/Practicas0708/Comparing%20Predictive%20Accuracy%20(Dielbold).pdf>`_
+#           Journal of Business & economic statistics, 20(1), 134-144.