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When is machine learning the wrong approach?

  1. A When a domain expert can state the rule explicitly
  2. B When the dataset is large
  3. C When accuracy requirements are high
  4. D When predictions are needed quickly
Answer

When a domain expert can state the rule explicitly

An explicit rule is cheaper, explainable and does not drift, so recommending one over a model demonstrates judgement.

All Data Science MCQs

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