A municipal bottle-return helper uses such a crude rule that every shiny object is called aluminum, so glass and plastic are routinely wrong. Which effect is that?
Select an answer to reveal the explanation.
Short Explanation
Think of a bottle-return helper that calls every shiny object aluminum. That is underfitting, a model too simple to see the pattern. It is not last January’s memorized IDs.
Full Explanation
Underfitting is systematic inaccuracy from a model that never learned the structure. Calling every shiny object aluminum is that other side of the bias-variance pair. Overfitting, hardware, and Prompt Management are the wrong names.