What is regularization in machine learning?
Regularization in Machine Learning
Regularization is a technique used in machine learning and statistics to prevent overfitting of models. Overfitting occurs when a model learns the training data too well, including its noise and outliers, which makes the model perform poorly on unseen data. Regularization adds a penalty on the