A food-bank forecast kept a locker-number column that never moves w…

Question

A food-bank forecast kept a locker-number column that never moves with demand. Which mitigation should the tester pick?

Accepted Answer

Feature testing as the mitigation for sub-optimal feature selection. — A locker-number column that never moves with demand is a leftover, sub-optimal feature, so feature testing is the mitigation. Provenance testing hunts unnamed resellers, a Chapter 6 overfitting procedure is a later method, and constraint testing hunts negative counts and wrong types, not a dead column.

Answer

Data provenance testing only, because a leftover column is an unnamed reseller.

Answer

A Chapter 6 overfitting procedure as the only leftover-column check.

Answer

Dataset constraint testing only, because a locker number is a negative count.

A food-bank forecast kept a locker-number column that never moves with demand. Which mitigation should the tester pick?

Short Explanation

Full Explanation