MLA-C01 · Question #80
MLA-C01 Question #80: Real Exam Question with Answer & Explanation
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Question
An ML engineer is developing a fraud detection model by using the Amazon SageMaker XGBoost algorithm. The model classifies transactions as either fraudulent or legitimate. During testing, the model excels at identifying fraud in the training dataset. However, the model is inefficient at identifying fraud in new and unseen transactions. What should the ML engineer do to improve the fraud detection for new transactions?
Options
- AIncrease the learning rate.
- BRemove some irrelevant features from the training dataset.
- CIncrease the value of the max_depth hyperparameter.
- DDecrease the value of the max_depth hyperparameter.
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