MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -In machine learning, early stopping is a form of regularization used to avoid overfitting when training a learner with an iterative method, such as gradient descent. Such methods update the learner so as to make it better fit the training data with each iteration.

Detailed explanation-2: -Regularization in Machine Learning Regularization is another powerful and arguably the most used machine learning technique to avoid overfitting, this method fits the function of the training dataset. This process makes the coefficient shift towards zero, hence reducing the errors.