DOC: remove incorrect statement
@@ -147,10 +147,7 @@ in the kernel and by the regularization parameter alpha of KRR.
:align: center
The figure shows that both methods learn reasonable models of the target
-function. GPR correctly identifies the periodicity of the function to be
-roughly :math:`2*\pi` (6.28), while KRR chooses the doubled periodicity
-:math:`4*\pi` . Besides
-that, GPR provides reasonable confidence bounds on the prediction which are not
+function. GPR provides reasonable confidence bounds on the prediction which are not
available for KRR. A major difference between the two methods is the time
required for fitting and predicting: while fitting KRR is fast in principle,
the grid-search for hyperparameter optimization scales exponentially with the
