Google Professional Machine Learning Engineer
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In the context of developing a machine learning model for a healthcare application, where the model's predictions will directly influence patient treatment plans, data quality is paramount. Considering the critical nature of the application, which of the following are the most significant impacts of data quality issues on the model's performance and outcomes? Choose the two most correct options.
A
They can simplify the data preprocessing phase by reducing the need for data cleaning.
B
They can lead to inaccurate and biased predictions, potentially harming patient outcomes.
C
They can reduce the computational cost of model training by eliminating the need for complex algorithms.
D
They can enhance model complexity, making it more adaptable to various data inputs.
E
They can increase the risk of compliance violations due to unreliable predictions affecting patient care.