What is overfitting in the context of machine learning models?

Group of answer choices

When the model learns noise or random fluctuations in the training data. This way it is trying to copy the training data and will not do well in real world.

When the model performs well on the training data but poorly on unseen data

When the model is too simple to capture complex patterns in the data

When the model fails to capture the underlying structure of the data