Which of the Following Statements Is False

Which of the following statements is false?

A) When creating a model, a key goal is to ensure that it is capable of making accurate predictions for data it has not yet seen. Two common problems that prevent accurate predictions are overfitting and underfitting.
B) Underfitting occurs when a model is too simple to make accurate predictions, based on its training data. An example of underfitting is using a linear model, such as simple linear regression, when in fact, the problem really requires a more sophisticated non-linear model.
C) Overfitting occurs when your model is too complex. In the most extreme case of overfitting, a model memorizes its training data.
D) When you make predictions with an overfit model, the model won't know what to do with new data that matches the training data, but the model will make excellent predictions with data it has never seen.