Regularization, Overfitting, Dropout Regularization, Early Stopping, Elastic Net.
to degrade. Some models have early stopping built in. XGBoost offers a parameter early_stopping_rounds, and here is how to do it with Keras. Instead of continuing training the model, you should stop at the point where the loss on the test set starts to increase. Image by author. Data augmentation