An insurance company is creating an application to automate car insurance claims. A machine learning (ML) specialist used an Amazon SageMaker Object Detection - TensorFlow built-in algorithm to train a model to detect scratches and dents in images of cars. After the model was trained, the ML specialist noticed that the model performed better on the training dataset than on the testing dataset.
Which approach should the ML specialist use to improve the performance of the model on the testing data?

A. Increase the value of the momentum hyperparameter.

B. Reduce the value of the dropout_rate hyperparameter.

C. Reduce the value of the learning_rate hyperparameter

D. Increase the value of the L2 hyperparameter.








 

Suggested Answer: B

Community Answer: D




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


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