Q85 — AWS AIF-C01 Ch.3
Question 85 of 100 | ← Chapter 3
When a model performs well on training data but fails to generalize to unseen data.
- A. Bias
- B. Fairness
- C. Overfitting ✓
- D. Underfitting
- E. Interpretability
Correct Answer: C. Overfitting
Explanation
Overfitting occurs when a model learns the training data too intricately—including noise and irrelevant details—making it unable to generalize effectively to new, unseen data. When a model achieves strong performance on training data but performs poorly on unseen data, it exhibits overfitting.