Databricks Certified Machine Learning - Associate
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In a scenario where you have a large number of models in your ensemble, how can you optimize the ensemble's performance and prevent overfitting?
A
Use regularization techniques like L1 or L2 regularization during the training of each model in the ensemble.
B
Use early stopping during the training of each model in the ensemble to prevent overfitting.
C
Use model selection techniques like cross-validation to select the best-performing models for the final ensemble.
D
All of the above