remove superfluous backtick

Author: lewardo

doc/MLPClassifier.rst

@@ -53,7 +53,7 @@
 
 :control validation:
 
-   A percentage (represented as a decimal) of the data points to randomly select, set aside, and not use for training (this "validation set" is reselected on each ``fit``). These points will be used after each epoch to check how the neural network is performing. If it is found to be no longer improving, training will stop, even if a ``fit`` has not reached its ```maxIter`` number of epochs.
+   A percentage (represented as a decimal) of the data points to randomly select, set aside, and not use for training (this "validation set" is reselected on each ``fit``). These points will be used after each epoch to check how the neural network is performing. If it is found to be no longer improving, training will stop, even if a ``fit`` has not reached its ``maxIter`` number of epochs.
 
 :message fit:
 

doc/MLPRegressor.rst

@@ -65,7 +65,7 @@
 
 :control validation:
 
-   A percentage (represented as a decimal) of the data points to randomly select, set aside, and not use for training (this "validation set" is reselected on each ``fit``). These points will be used after each epoch to check how the neural network is performing. If it is found to be no longer improving, training will stop, even if a ``fit`` has not reached its ```maxIter`` number of epochs.
+   A percentage (represented as a decimal) of the data points to randomly select, set aside, and not use for training (this "validation set" is reselected on each ``fit``). These points will be used after each epoch to check how the neural network is performing. If it is found to be no longer improving, training will stop, even if a ``fit`` has not reached its ``maxIter`` number of epochs.
 
 :message fit: