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問題 38 / 65
A model is highly accurate for older adults but performs poorly for low-income groups. Which explanation is most plausible?
①Because the model is learning proxy variables that indicate low income, misclassification is increasing for low-income individuals.
②There are far too many low-income individuals in the data, causing the model to be biased.
③The model architecture is ill-suited to data from low-income individuals.
④Because the features used during training caused overfitting
⑤Performance is lower for low-income individuals because their healthcare use and the way records are documented differ, leading to biased labels and observations.