MLS-C01 · Question #345
MLS-C01 Question #345: Real Exam Question with Answer & Explanation
Sign in or unlock MLS-C01 to reveal the answer and full explanation for question #345. The question stem and answer options stay visible for context.
Question
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?
Options
- AIncrease the value of the momentum hyperparameter.
- BReduce the value of the dropout_rate hyperparameter.
- CReduce the value of the learning_rate hyperparameter
- DIncrease the value of the L2 hyperparameter.
Unlock MLS-C01 to see the answer
You've previewed enough free MLS-C01 questions. Unlock MLS-C01 for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.