A Machine Learning Specialist has created a deep learning neural network model that performs well on the training data but performs poorly on the test data. Which of the following methods should the Specialist consider using to correct this? (Choose three.)

QuestionsCategory: MLS-C01A Machine Learning Specialist has created a deep learning neural network model that performs well on the training data but performs poorly on the test data. Which of the following methods should the Specialist consider using to correct this? (Choose three.)
Admin Staff asked 3 months ago
A Machine Learning Specialist has created a deep learning neural network model that performs well on the training data but performs poorly on the test data.
Which of the following methods should the Specialist consider using to correct this? (Choose three.)

A. Decrease regularization.

B. Increase regularization.

C. Increase dropout.

D. Decrease dropout.

E. Increase feature combinations.

F. Decrease feature combinations.




 

Suggested Answer: BCF

Community Answer: BCF




This question is in MLS-C01 AWS Certified Machine Learning – Specialty Exam
For getting AWS Certified Machine Learning – Specialty Certificate


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