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When is machine learning the wrong tool for a problem?

A When a domain expert can write down the rule explicitly
B When the dataset is large
C When the problem involves prediction
D When accuracy requirements are high

Answer

When a domain expert can write down the rule explicitly

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

All Machine Learning MCQs

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