The term ___________ is used to describe a model that performs well on the training data but poorly on the unseen data.
- Bootstrap
- Cross-validation
- Overfitting
- Underfitting
Overfitting refers to a situation where a model is trained too well on the training data and performs poorly on unseen data because it has learned the noise and specific patterns in the training data, rather than the underlying trend.
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