Term for Poor Generalization Despite Strong Training Performance
Question: What is the term for a model that performs very well on its training data but does not work well on new data?
Sample answer: This is called overfitting.
Key points:
- Overfitting is the correct term.
- It describes low training error with weak generalization.
Rubric: The learner must correctly provide the term "overfitting".
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Term for Poor Generalization Despite Strong Training Performance