In the context of Spark ML algorithms, when is it most appropriate to apply regularization techniques such as L1 and L2?
Real Exam
A
When the dataset size is large
8.3%
B
When dealing with categorical data
8.3%
C
When the model is overfitting
83.3%
D
When the dataset size is small
0.0%
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In the context of Spark ML algorithms, when is it most appropriate to apply regularization techniques such as L1 and L2? | Databricks Certified Machine Learning - Associate Quiz - LeetQuiz