When is machine learning the wrong approach?
- A When a domain expert can state the rule explicitly
- B When the dataset is large
- C When accuracy requirements are high
- 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.





