👉 Stop computing, also known as "stop checking" or "early stopping," is a technique used in machine learning and deep learning to prevent overfitting during the training process. It involves periodically evaluating the model's performance on a validation set (a subset of data not used during training) and halting the training process if the model's performance on this validation set starts to degrade, indicating that it may be beginning to memorize the training data rather than learning generalizable patterns. This helps in finding a better balance between underfitting and overfitting, ultimately leading to a more robust model that performs well on unseen data.
