A glass-anneal schedule model is a shallow tree, and the training pile never recorded kiln-zone, which the glass shop says drives the outcome. Both training and validation scores stay poor. What should testers name that?
Select an answer to reveal the explanation.
Short Explanation
A shallow tree plus a training pile that never recorded kiln-zone, which the shop says drives the outcome, with both training and validation scores staying poor, is underfitting from a too-simple model and/or missing features. Overfitting memorizes noise, data drift is a live-mix change, and a Chapter 7 rollback plan is an ops move, not a generation-time check.
Full Explanation
Underfitting is a model too simple for the structure, or training data that omits an important relationship. Overfitting, data drift, and a Chapter 7 rollback plan name different problems.