Examtopics

AWS Certified Machine Learning - Specialty

  • Topic 1 Question 361

    A machine learning (ML) specialist is building a credit score model for a financial institution. The ML specialist has collected data for the previous 3 years of transactions and third-party metadata that is related to the transactions.

    After the ML specialist builds the initial model, the ML specialist discovers that the model has low accuracy for both the training data and the test data. The ML specialist needs to improve the accuracy of the model.

    Which solutions will meet this requirement?

    2 つ選択

    • Increase the number of passes on the existing training data. Perform more hyperparameter tuning.

    • Increase the amount of regularization. Use fewer feature combinations.

    • Add new domain-specific features. Use more complex models.

    • Use fewer feature combinations. Decrease the number of numeric attribute bins.

    • Decrease the amount of training data examples. Reduce the number of passes on the existing training data.

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