Artificial Intelligence $($AI$)$ and Machine Learning $($ML$)$

What does "overfitting" mean in the context of machine learning?

A$)$ The model performs well on training data but poorly on test data

B$)$ The model performs well on both training and test data

C$)$ The model performs poorly on training data but well on test data

D$)$ The model is too simple to capture the underlying patterns