Statistics, Mathematics, Hypothesis Testing, Anova, Design Of Experiments.
Overfitting the training dataset can result from using too many epochs, while using too few can result in an underfit model. Early stopping is a technique for specifying an arbitrarily large number of training epochs and stopping training once the model’s performance on a hold-out validation