Ultimate access to all questions.
Upgrade Now 🚀
Sign in to unlock AI tutor
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
