MLS-C01 · Question #388
MLS-C01 Question #388: Real Exam Question with Answer & Explanation
Sign in or unlock MLS-C01 to reveal the answer and full explanation for question #388. The question stem and answer options stay visible for context.
Question
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? (Choose two.)
Options
- AIncrease the number of passes on the existing training data. Perform more hyperparameter tuning.
- BIncrease the amount of regularization. Use fewer feature combinations.
- CAdd new domain-specific features. Use more complex models.
- DUse fewer feature combinations. Decrease the number of numeric attribute bins.
- EDecrease the amount of training data examples. Reduce the number of passes on the existing
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.