Ultimate access to all questions.
Upgrade Now 🚀
Sign in to unlock AI tutor
In the context of Spark ML algorithms, when is it most appropriate to apply regularization techniques such as L1 and L2?
A
When the dataset size is large
B
When dealing with categorical data
C
When the model is overfitting
D
When the dataset size is small
