Computer Science · Machine Learning
What does the term 'Overfitting' mean in the context of machine learning?
Verified Solution4 OptionsUpdated: October 2026👁️1 View
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- 1The model performs poorly on training data.
- 2The model removes all potential outliers from the dataset.
- 3The model fits the training data exceptionally well but generalizes poorly to new, unseen data.✓
- 4The model fails to initiate training at all due to size constraints.
Correct answer
The model fits the training data exceptionally well but generalizes poorly to new, unseen data.
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