MLS-C01 · Question #153
MLS-C01 Question #153: Real Exam Question with Answer & Explanation
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Question
A Machine Learning Specialist is developing a mode that classifies defective parts from a manufacturing process into one of eight defect types. The training data consists of 100,000 images per defect type. During the initial training of the image classification model, the Specialist notices that the validation accuracy is 89.5% while the training accuracy is 90%. It is known that human-level performance for this type of image classification is around 97%. What should the Specialist consider to improve the performance of the model? (Select TWO.)
Options
- AA longer training time
- BData augmentation
- CGetting more training data
- DA different optimizer
- EL2 regularization
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