220. Diagnosing Variance via Regularization
easy
A model with no regularization has low training error but high test error. Adding strong L2 regularization reduces test error significantly. What does this tell us about the original model?
A model with no regularization has low training error but high test error. Adding strong L2 regularization reduces test error significantly. What does this tell us about the original model?