Fix first block of text

Author: Vianney Taquet

examples/regression/4-tutorials/plot_main-tutorial-regression.py

@@ -8,21 +8,21 @@
 # In this tutorial, we compare the prediction intervals estimated by MAPIE on a
 # simple, one-dimensional, ground truth function
 # :math:`f(x) = x \times \sin(x)`.
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+#
 # Throughout this tutorial, we will answer the following questions:
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+#
 # - How well do the MAPIE strategies capture the aleatoric uncertainty
 #   existing in the data?
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+#
 # - How do the prediction intervals estimated by the resampling strategies
 #   evolve for new *out-of-distribution* data ?
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+#
 # - How do the prediction intervals vary between regressor models ?
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+#
 # Throughout this tutorial, we estimate the prediction intervals first using
 # a polynomial function, and then using a boosting model, and a simple neural
 # network.
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+#
 # **For practical problems, we advise using the faster CV+ or
 # Jackknife+-after-Bootstrap strategies.
 # For conservative prediction interval estimates, you can alternatively