diff --git a/doc/modules/neural_networks_supervised.rst b/doc/modules/neural_networks_supervised.rst index ec708e59be1ac5eabbbfcebdfaa98ee4e0effb95..292ed903eeffcbbe876a0de3f61b0786e7e700de 100644 --- a/doc/modules/neural_networks_supervised.rst +++ b/doc/modules/neural_networks_supervised.rst @@ -173,7 +173,7 @@ which a sample can have more than one target. Regularization ============== -Both :class:`MLPRegressor` and class:`MLPClassifier` use parameter ``alpha`` +Both :class:`MLPRegressor` and :class:`MLPClassifier` use parameter ``alpha`` for regularization (L2 regularization) term which helps in avoiding overfitting by penalizing weights with large magnitudes. Following plot displays varying decision function with value of alpha.