Overfitting happens when the model:
Answer options
A
Generalizes well
B
Memorizes training data and performs poorly on new data
C
Never learns
D
Has too few parameters
Correct answer: Memorizes training data and performs poorly on new data
Explanation
Overfitting occurs when a model memorizes training data rather than learning generalizable patterns, resulting in poor performance on unseen data.