A customs broker must compute duty on a shipment from a published Harmonized System tariff table. The entry is rejected if the dollar amount is not the exact statutory figure. A data scientist offers a model that forecasts duty from last year's invoices. Which action should the broker take?
Select an answer to reveal the explanation.
Short Explanation
Think of it like looking up the posted speed limit instead of guessing from last year's tickets. Customs duty has to be the exact number on the published table. A forecast, a cluster average, or a "what importers might like" pick can be close and still bounce the entry.
Full Explanation
Machine learning is the wrong tool when a statute or published table must produce a precise number rather than a prediction. Customs duty is that kind of lookup. A forecast from last year's invoices can be close and still fail an entry. Clustering to an average, or recommending a liked amount, also replaces the required figure with an estimate.