What is a regularization rate?
A number that specifies the relative importance of regularization during training.
regularization rate explained in plain English
A number that specifies the relative importance of regularization during training. Raising the regularization rate reduces overfitting but may reduce the model's predictive power. Conversely, reducing or omitting the regularization rate increases overfitting.
The regularization rate is usually represented as the Greek letter lambda. The following simplified loss equation shows lambda's influence:
where regularization is any regularization mechanism, including; - L1 regularization - L2 regularization --- See Overfitting: L2 regularization in Machine Learning Crash Course for more information.
Example
Practitioners refer to regularization rate when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.
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