Explain the concept of 'Early Stopping'.

Explain the concept of 'Early Stopping'.

Approach: Describe halting training once performance on a validation set stops improving.

A form of regularization where the model is trained until the error on a validation set begins to increase, even if the training error is still decreasing. This stops the model before it starts overfitting to the training noise.

Follow-up: What is a 'patience' parameter in early stopping?

Key concepts: overfitting, validation error, epochs.