Câu 77: AWS Certified Machine Learning Engineer - Associate MLA-C01

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?

1. A. Increase the learning rate.
2. B. Remove some irrelevant features from the training dataset.
3. C. Increase the value of the max_depth hyperparameter.
4. D. Decrease the value of the max_depth hyperparameter. — đáp án hiện tại